Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions.
Open accessAbstract
Adolescents are spending an increasing amount of their time online and connected to each other via digital technologies. Mobile device ownership and social media usage have reached unprecedented levels, and concerns have been raised that this constant connectivity is harming adolescents' mental health. This review synthesized data from three sources: (a) narrative reviews and meta-analyses conducted between 2014 and 2019, (b) large-scale preregistered cohort studies and (c) intensive longitudinal and ecological momentary assessment studies, to summarize what is known about linkages between digital technology usage and adolescent mental health, with a specific focus on depression and anxiety. The review highlights that most research to date has been correlational, focused on adults versus adolescents, and has generated a mix of often conflicting small positive, negative and null associations. The most recent and rigorous large-scale preregistered studies report small associations between the amount of daily digital technology usage and adolescents' well-being that do not offer a way of distinguishing cause from effect and, as estimated, are unlikely to be of clinical or practical significance. Implications for improving future research and for supporting adolescents' mental health in the digital age are discussed.
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Claims the paper makes
37 of 87 cited sources checked · 23 supported · 0 flagged · accuracy not yet measured
- Premisecitation
A systematic narrative review of 28 studies found that many young people with mental health problems spend time online seeking ways to alleviate and better understand their symptoms.
“a recent systematic narrative review of 28 studies of online help-seeking behaviors indicated that many young people suffering from mental health problems are spending their time online searching for means of alleviating and better understanding their symptoms (Pretorius, Chambers, & Coyle, 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Pretorius, Chambers, & Coyle, 2019 source
- Premisecitation
McCrae et al.'s meta-analysis of 11 studies (N=12,646) found a small statistically significant association between social media usage and depressive symptoms (r = .13, 95% CI: −.05 to 0.20).
“The authors documented a small, but statistically significant, association between social media usage and depressive symptoms (r = .13, 95% CI: −.05 to 0.20)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites McCrae, Gettings and Pursell (2017) source
The Statistical Analysis section (p. 8) reports a pooled estimate of r = 0.13 with p = 0.001, supporting the small, statistically significant association. But its 95% confidence interval is 0.05 to 0.20, not −0.05 to 0.20; the negative lower bound in the claim is incorrect. The paper's opening page reports 11 eligible studies with a total sample of 12,646. (LLM, conf=0.93)
Experimental — accuracy not yet measured
- Premisecitation
In earlier periods, greater time spent online among adolescents was associated with more self-reported depression and anxiety symptoms.
“Historically, adolescents who spent more time online were also more likely to report symptoms of depression and anxiety.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George, Russell, Piontak, & Odgers, 2018 source
The paper’s background section reports that earlier studies associated more time online with greater self-reported depressive symptoms among adolescents. Its Discussion also describes older research linking time online to depressive and broader internalizing symptoms, but our copy does not specifically establish the claimed historical association with anxiety symptoms. The paper’s own findings in high-risk adolescents instead found slightly fewer same-day anxiety symptoms with more time online. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
In that prior at-risk adolescent sample, small same-day associations with increased externalizing problems were also observed.
“although small same day linkages with increased externalizing problems were also observed”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George et al., 2018 source
- Premisecitation
Youth who report psychological distress around online activities and describe their technology use as distressing or problematic are also more likely to report psychological distress offline.
“youth who report psychological distress around their online activities and describe their technology use as including distressing or problematic elements, are also more likely to report psychological distress in their offline lives”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Andreassen et al., 2016 source
The Abstract (p. 2) reports positive correlations between symptoms of addictive technology use and psychiatric symptoms, supporting the general association. But the survey included people aged 16–88 and does not establish that association specifically among youth. It measured psychiatric symptoms, not a separate measure of distress in participants’ offline lives. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Augner & Hacker, 2012 source
- cites Morrison & Gore, 2010 source
- Interpretationcitation
Adolescents' online risk often mirrors offline vulnerabilities.
“Adolescents’ online risk often mirrors offline vulnerabilities.”
Quote in the paperSubstantial claim2 of 3 sources checked - Premisecitation
In that prior at-risk adolescent sample, more texts sent were associated with less same-day depression.
“more texts sent were also associated with less same day depression”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George et al., 2018 source
- Premisecitation
In another experience sampling study, the quantity of Facebook use was associated with worse affect at the next time point.
“quantity of Facebook use was associated with worse affect at the next time point (a lagged effect)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kross et al., 2013 source
- Premisecitation
In that study, affect was not related to Facebook use at the next time point.
“but not the inverse (affect did not relate to next time point Facebook use)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kross et al., 2013 source
- Premisecitation
The UK study authors concluded that across the population, social media use was not a strong predictor of adolescents' life satisfaction.
“across the population (between people) social media use was not a strong predictor of adolescents’ life satisfaction”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Orben, Dienlin, & Przybylski, 2019 source
- Premisecitation
Online social networking site use tends to be related to less internalizing when it includes positive interactions, enhances social support, and facilitates social connectedness.
“online social networking site use tends to be related to less internalizing, to the extent that it includes positive interactions, enhances social support, and facilitates social connectedness”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Clark, Algoe, & Green, 2018 source
The Conclusions link connection-promoting social-network use and social support with higher well-being. The Behavior on Social Network Sites and Well-Being section also reports decreased loneliness among adolescents whose Facebook use was motivated by connection. The paper does not establish the broader claim of less internalizing, such as fewer depressive or anxiety symptoms, for positive interactions generally. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Seabrook et al., 2016 source
- Premisecitation
Young people frequently go online to seek health information.
“Young people report going online frequently to seek out health information”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kauer, Mangan, & Sanci, 2014 source
- Premisecitation
Adolescents with stronger offline networks often report more robust online networks.
“adolescents with stronger offline networks often report more robust online networks”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George & Odgers, 2015 source
- Premisecitation
An emerging body of research suggests that, under the right conditions, online supports and information can provide valuable instrumental and social support.
“An emerging body of research suggests that if provided under the right conditions, online supports and information can provide valuable forms of both instrumental and social support.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Kauer, Mangan, & Sanci, 2014 source
- cites Rideout & Fox, 2018
- Premisecitation
More nuanced studies of online activities among adolescents suggest that the type, not the frequency, of social media usage is associated with depressive symptoms.
“more nuanced studies of online activities among adolescents suggest that it is not the frequency but the type of social media usage that is associated with their depressive symptoms”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Nesi, Miller, & Prinstein, 2017 source
- Premisecitation
Many young people turn to social media for support and advice related to their mental health symptoms.
“many young people turn to social media for support and advice related to their mental health symptoms”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Pretorius et al., 2019 source
- Premisecitation
Increased time online tends to displace offline time with parents.
“increased time online tends to displace offline time with parents”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George & Odgers, 2015 source
- Premisecitation
Parent-child relationships do not appear to be negatively influenced by increased time online.
“parent–child relationships do not appear to be negatively influenced by these changes”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George & Odgers, 2015 source
In Fear #4, the paper reports that moderate technology use does not appear to predict declining parent–child relationship quality, and one diary study found no difference in reported relationship quality by time spent online. But the same section reports an association between higher-than-average Internet use and lower relationship quality, and says the evidence cannot establish whether technology use causes relationship changes. The unqualified claim is therefore broader than the paper supports. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingnone given
Many studies have relied solely on screen time as the index of digital technology engagement.
“Second, many studies have relied solely on screen time as the index of engagement with digital technologies.”
Quote in the paperSubstantial claim - Findingreasoning
Associations between time online and internalizing symptoms are often mixed, including positive, negative, and null findings.
“associations between time online and internalizing symptoms are often (a) mixed between positive, negative, and null findings”
Quote in the paperSubstantial claim - Findingreasoning
Associations between time online and internalizing symptoms usually cannot be distinguished as to likely cause and effect.
“are typically not distinguishable in terms of likely cause and effect.”
Quote in the paperSubstantial claim - Findingnone given
The vast majority of studies have been drawn from high-income and high-resource settings.
“The vast majority of studies have been drawn from high-income and high-resource settings.”
Quote in the paperSubstantial claim - Findingnone given
Greater self-reported depressive symptoms are associated with greater self-reported time spent online among adolescents.
“Small associations still exist, as adolescents who report more depressive symptoms also tend to report spending more time online.”
Quote in the paperNot a substantial claim - Findingcitation
The most recent and rigorous large-scale and preregistered studies have not found strong support for a robust linkage between adolescents' technology use and well-being.
“Similar to findings from systematic reviews and meta-analyses, the most recent and rigorous large-scale and preregistered studies have not found strong support for a robust linkage between adolescents’ technology use and well-being.”
Quote in the paperSubstantial claim - Findingown data
In the authors' ecological momentary assessment study of US adolescents aged 11-15, baseline digital technology use did not predict later mental health symptoms.
“results demonstrated that adolescents’ baseline technology usage did not predict later mental health symptoms.”
Quote in the paperSubstantial claim - Findingown data
In that ecological momentary assessment study, adolescents who sent more text messages over the study period reported lower depression than adolescents who texted less frequently.
“teens who reported sending more text messages over the study period reported feeling better (less depressed) than teens who were texted less frequently.”
Quote in the paperNot a substantial claim - Findingown data
In that ecological momentary assessment study, adolescents' reported mental health was not worse on days when they reported more technology use than on days when they reported less.
“There was no evidence that adolescents’ reported mental health was worse on days when they reported spending more versus less time on technology.”
Quote in the paperSubstantial claim - Interpretationcitation
The paucity of data from middle- and low-income settings impedes understanding of potential impacts of digital technologies where most youth in the world are coming of age.
“The paucity of data from these settings impedes our understanding of potential impacts of digital technologies in middle- and low-income settings, where the vast majority of youth in the world are currently coming of age (World Health Organization, 2019).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites World Health Organization, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The predominance of cross-sectional surveys limits causal inference about whether increased time online or social media use causes changes in adolescent mental health.
“As a result, the ability to make causal inferences is extremely limited and does not allow for conclusions regarding whether increased time online or engagement with social media use causes changes in young people’s mental health.”
Quote in the paperSubstantial claim - Premisecitation
Huang found that main effects were not moderated by sample age or gender.
“Main effects were not moderated by sample age or gender.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Huang (2017) source
- Premisecitation
A synthesis of 37 studies found that young people's online communication usually supports offline friendships by arranging meetings, building intimacy, and expressing affection.
“as suggested by a recent synthesis of 37 studies, online communication between young people is typically being used to support the ‘traditional’ tasks of offline friendships through arranging meet-ups, developing intimacy, and shows of affection (Yau & Reich, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yau & Reich, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
A Danish study of adults randomly assigned to take a break from Facebook found that the break group reported greater life satisfaction and more positive emotions than controls.
“In this study, those assigned to take a Facebook break reported greater life satisfaction and more positive emotions compared to the control condition who continued their Facebook use as usual (Tromholt, 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tromholt, 2016 source
- Interpretationreasoning
Reliance on screen time metrics is problematic because all screen time is not equal with respect to risks and benefits.
“The reliance on screen time metrics is a problem given that all screen time is not equal with respect to potential risks and benefits.”
Quote in the paperSubstantial claim - Interpretationreasoning
At present, available evidence falls short of the standard of proof required to identify digital technology use as a putative environmental cause of adolescent mental health problems.
“at present the available evidence falls short of the standard of proof required to identify digital technology use as a putative environmental cause of adolescent mental health problems.”
Quote in the paperSubstantial claim - Premisecitation
In a college-student experience sampling study, daily social networking site use was not significantly associated with depression.
“no significant associations emerged between daily social networking site use and depression”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Jelenchick, Eickhoff, & Moreno, 2013 source
- Premisecitation
Youth from low-income families tend to report more negative spillover from negative social media experiences to offline conflict, fights, and school trouble.
“youth from low-income families tend to report more negative spillover of negative experiences on social media to offline conflict, fights, and trouble at school”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Odgers, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Small effects can have clinically meaningful public health implications only if they are causally estimated and there is compelling evidence of directionality and impacts.
“While it is true that small effects can have clinically meaningful and important implications for public health, this requires that the effects are causally estimated and there is compelling evidence of directionality and impacts.”
Quote in the paperSubstantial claim - Premisecitation
In the Monitoring the Future Study, the small correlation between digital technology usage and depression was estimated from self-reported depressive symptoms and self-reported technology usage.
“the small correlation between digital technology usage and depression (0.4%) was cross-sectional and was estimated based on both self-reported depressive symptoms and technology usage.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Twenge et al., 2018 source
- Premisecitation
The Monitoring the Future Study reported a cross-sectional correlation between digital technology usage and depression that accounted for less than 1% of the variation in depressive symptoms.
“reported on a correlation that accounted for <1% of the variation in depressive symptoms”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Twenge et al., 2018 source
- Interpretationreasoning
The same data and effect sizes are reported across studies but communicated in dramatically different ways to the public, practitioners, and adolescents.
“The fact that the same data and effect sizes are reported across studies, but that they are communicated in dramatically different ways to the public, practitioners, and importantly to adolescents themselves”
Quote in the paperSubstantial claim - Premisecitation
Across 3,221,225,472 analyses, technology use accounted for less than 1% (0.4%) of variation in well-being.
“More specifically, across their 3,221,225,472 analyses, technology use accounted for less than 1% (0.4%) of the variation in well-being.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Orben and Przybylski (2019)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
A review of meta-analytic work, large-scale preregistered studies, and intensive daily and momentary assessments provides little evidence that digital media engagement has substantial associations with adolescents' mental health symptoms at the population level.
“a review of meta-analytic work, large-scale preregistered studies, and intensive daily and momentary assessments provides little evidence that engagement with digital media has substantial associations with adolescents’ mental health symptoms at the population level.”
Quote in the paperSubstantial claim - Premisecitation
Adolescents with a history of prior victimization are more likely to be bullied, victimized, and solicited online.
“Adolescents with a history of prior victimization are more likely to be bullied, victimized, and solicited online”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kowalski, Giumetti, Schroeder, & Lattanner, 2014 source
- Premisecitation
As daily social media use increased among US adolescents, associations between social media use and depressive symptoms across 2009-2017 decreased in magnitude.
“Interestingly, as daily social media use has increased among adolescents in the United States, the associations between social media use and depressive symptoms across 2009 to 2017 have decreased in magnitude.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kreski et al., submitted
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Kreski et al.'s re-analysis of Monitoring the Future found daily social media use was not a moderately strong or consistent risk factor for adolescents' depressive symptoms.
“daily social media use was not found to be a moderately strong or consistent risk factor for adolescents’ depressive symptoms (Kreski et al., submitted).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kreski et al., submitted
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
The remaining small cross-sectional association between digital technology usage and well-being provided no credible way to disentangle cause from effect.
“Again, the remaining small cross-sectional association between digital technology usage and well-being provided no credible way to disentangle cause from effect.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Orben and Przybylski (2019)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisereasoning
High-density observations of both digital technology usage and mental health allow examination of within-person linkages over time while holding stable factors fixed within individual and/or across time.
“Obtaining high density observations of both digital technology usage and mental health also allows for an examination of within-person linkages between these experiences over time while holding all stable all factors that are fixed within the individual and/or across time.”
Quote in the paperSubstantial claim - Interpretationcitation
Just as school-based bullying prevention interventions have proven effective for reducing cyberbullying, parenting and support strategies developed for offline spaces may translate well into supporting adolescents' healthy online relationships, interactions, and experiences.
“Just as interventions to prevent bullying within school settings have proven effective for reducing cyberbullying (Williford et al., 2013), parenting, and support strategies developed for use in offline spaces may translate well into supporting adolescents formation of healthy online relationships, interactions, and experiences.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Williford et al., 2013 source
- Premisecitation
Other research teams analyzing the same data reported similar small initial associations between social media use and depressive symptoms.
“other research teams have analyzed these same data (Kreski et al., submitted; Orben & Przybylski, 2019) and reported similar small initial associations between social media use and depressive symptoms.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kreski et al., submitted
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Orben & Przybylski, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
At present, overreliance on cross-sectional and correlational data makes it impossible to determine whether problematic technology usage leads to mental health problems or whether those with existing vulnerabilities are more likely to use technology in unhealthy ways.
“At present, the over reliance on cross-sectional and correlational data make it impossible to determine whether problematic technology usage leads to mental health problems, or whether those with existing vulnerabilities are simply more likely to use technology in unhealthy ways.”
Quote in the paperSubstantial claim - Premisecitation
In a population representative sample of US adolescents, youth from economically disadvantaged families were equally likely to have access to mobile devices as more affluent peers.
“youth growing up economically disadvantaged families were equally likely to have access to mobile devices”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Odgers, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
These fears were initially promoted based on scant evidence in an American Academy of Pediatrics statement warning of dangers of excessive Facebook use among children and adolescents.
“were initially promoted based on scant evidence in a statement issued by the American Academy of Pediatrics Council on Communications and Media warning of the dangers of ‘excessive Facebook’ use among children and adolescents”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites O’Keeffe & Clarke-Pearson, 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Most measures of digital technology usage in the reviewed studies are reduced to a single measure of time spent online or to time spent on a particular platform or type of online behavior.
“Most measures of digital technology usage relied on in the studies reviewed above are reduced to a single measure of time spent online, or more recently, to time spent on a particular platform or type of online behavior.”
Quote in the paperSubstantial claim - Premisecitation
Digital communication is often used to support adolescents' peer relationships by creating opportunities for displays of affection, intimate disclosure, and offline activities.
“digital communication is often used to support adolescents’ peer relationships by creating opportunities for displays of affection, intimate disclosure, and offline activities”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yau & Reich, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Most wellness and mental health apps have been targeted toward adults or made for adults to use with or for their young children.
“most wellness and mental health apps have been targeted toward adults or made for adults to use with or for their young children.”
Quote in the paperSubstantial claim - Premisecitation
Digital platforms and tools have not been designed or tailored developmentally for adolescents.
“digital platforms and tools have not been designed or tailored developmentally for adolescents”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Odgers, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Associations between online technology usage and mental health vary depending on the type and features of online activities.
“Associations between online technology usage and mental health vary depending on the type and features of online activities.”
Quote in the paperSubstantial claim - Premisecitation
Social networking sites may be used by young people in the face of setbacks.
“Social networking sites may be used by young people in the face of setbacks”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Toma & Hancock, 2013 source
- Premisecitation
In that US sample, youth from economically disadvantaged families were more likely than more affluent peers to perceive negative spillover of online experiences to offline problems such as fights and school trouble.
“were more likely than their more affluent peers to perceive negative spillover of online experiences to problems in their offline lives (e.g., fights, trouble at school)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Odgers, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In European studies, children from wealthier homes are more likely than those from poorer homes to receive two or more forms of active parental mediation of Internet safety.
“children from wealthier versus poorer homes are more likely to receive two or more forms of active mediation of Internet safety by their parents”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mascheroni & Ólafsson, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Some research suggests adolescents with moderate to severe depressive symptoms may be about twice as likely as their peers to turn to social media for emotional support.
“some research suggesting that adolescents with moderate to severe depressive symptoms may be more likely (2×) than their peers to turn to social media for emotional support”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rideout & Fox, 2018
- Interpretationreasoning
A more likely explanation is that many of the same principles that guide healthy development and effective parenting will apply when supporting youth in their online activities and experiences.
“A more likely explanation is that many of the same principles that guide healthy development and inform effective parenting will apply when supporting youth in their online activities and experiences.”
Quote in the paperNot a substantial claim - Interpretationcitation
Virtual communication may serve as a tool for providing social support when youth are physically separated from parents or loved ones.
“may serve as a tool for providing social support when youth are separated from parents or loved ones physically.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The nature of online interactions is likely more relevant for understanding potential mental health effects than a global measure of minutes or hours spent online.
“the nature of online interactions is likely to be more relevant for understanding any potential mental health effects than is a global measure of the number of minutes or hours a youth spends online.”
Quote in the paperSubstantial claim - Interpretationreasoning
This overlap challenges the assumption and common message that the digital landscape and its effects are too complex, fast moving, or nuanced to understand or to help young people navigate.
“This finding challenges the assumption, and a common message to parents, that the digital landscape and its effects are too complex, fast moving, or nuanced to fully understand or for us to help young people effectively navigate.”
Quote in the paperSubstantial claim - Premisecitation
Early experimental studies showed that virtual communication may help adolescents bounce back following social rejection.
“early experimental studies showed that virtual communication may help adolescents ‘bounce back’ following social rejection”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gross, 2009 source
- Interpretationreasoning
A new kind of digital divide may be emerging, in which differences in online experiences amplify risks among already vulnerable adolescents.
“What we may be seeing now is the emergence of a new kind of digital divide, where differences in online experiences are amplifying risks among already vulnerable adolescents.”
Quote in the paperSubstantial claim - Premisecitation
In the United States, adolescents aged 13-18 from low-income families spend on average about three more hours per day on screens than peers from high-income families.
“on average, spend about three more hours per day on screens.”
Quote in the paperNot a substantial claim - Premisenone given
Most recently, large-scale preregistered studies have reported a lack of sizable or practically meaningful associations between adolescents' digital technology usage and well-being.
“Most recently, large-scale preregistered studies have reported a lack of sizable or practically meaningful associations between adolescents’ digital technology usage and well-being.”
Quote in the paperNot a substantial claim - Premisecitation
There is emerging evidence of rich-get-richer effects related to adolescents' online opportunities and experiences.
“There is emerging evidence of ‘rich-get-richer’ effects related to adolescents’ online opportunities and experiences.”
Quote in the paperNot a substantial claim - Premisenone given
In the United States, adolescents aged 13-18 from low-income families spend twice as much time passively consuming media as peers from high-income families.
“adolescents (aged 13–18) from low-income families spend twice as much time passively consuming media than their peers from high-income families”
Quote in the paperNot a substantial claim - Premisecitation
Lower- versus higher-income youth are increasingly living in two separate physical worlds as neighborhood, school, and other forms of segregation increase in the United States and elsewhere.
“Lower versus higher income youth are increasingly living in two separate physical worlds as neighborhood, school, and other forms of segregation increase in the United States and elsewhere”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Putnam, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
A consistent theme across this research area is the overlap between offline and online risk.
“A theme that has consistently emerged across this research area relates to the overlap between offline and online risk.”
Quote in the paperSubstantial claim - Premisecitation
Young people with lower social and emotional well-being are more likely to go online to seek support and to feel better about themselves.
“those with lower social and emotional well-being, are more likely to report going online to seek support and to feel better about themselves”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rideout & Fox, 2018
- May combine two claims. 51
- Not yet classified. 2
- Classified as probably not a substantial claim. 20
May combine two claims.
PremisecitationThe remaining three reviews, which included adults and adolescents, found that cross-sectional designs, retrospective reporting, and small mixed associations were the norm and limited reliable conclusions.
“Conclusions were consistent with those summarized for the adolescent populations above in that cross-sectional research designs, retrospective reporting of symptoms and digital technology usage, and small and mixed patterns of associations were the norm and often limiting factors in drawing reliable conclusions in this area (Baker & Algorta, 2016; Seabrook et al., 2016).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Baker & Algorta, 2016 source
- cites Seabrook et al., 2016 source
The Conclusions (no page given) describe predominantly self-report, cross-sectional methods and mixed findings. The Discussion’s Implications and Future Directions section says participants’ estimates of SNS behavior may introduce retrospective bias. Our copy does not establish that associations were generally small or that symptom reporting was retrospective, so those parts are not supported by this source. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationReducing complex experiences to a single index of retrospective self-reported screen time does not correspond well with objective measures of time online; correlations between objective and retrospective screen time are estimated at about r = .20.
“Finally, reducing a complex and multi-dimensional set of experiences into a single index of retrospective self-reports of the amount of time that youth spend in front of screens does not correspond well with objective measures of time spent online (correlations between objectively measured and retrospectively reported screen time are estimated to be ~r = .20 (Ellis, 2019)).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Ellis, 2019 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSeabrook et al.'s review found eight small positive associations and twice as many nonsignificant associations between frequency or time on social networking sites and depression.
“in a 2016 review examining the association between frequency or time spent on SNS and depression, eight reported small positive associations, while twice as many found nonsignificant associations (Seabrook, Kern, & Rickard, 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Seabrook, Kern, & Rickard, 2016 source
The Results section, under “Frequency of Social Networking Site Use” (page unavailable), reports that 8 studies found a positive association between frequency or time spent on SNSs and depression, while 16 found a nonsignificant association. It does not describe the eight positive associations as small. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Not yet classified.
PremiseSeabrook et al. concluded that inconsistency and lack of reproducible findings suggest any association between social media and depression is likely conditional on moderating factors and sensitive to usage patterns, pre-existing vulnerabilities, and context.
“The authors concluded that the inconsistency across studies and lack of common themes or reproducible findings when varying measures of SNS use were employed suggested that any association between social media and depression is likely to be conditional on a number of moderating factors and sensitive to variations in usage patterns, pre-existing vulnerabilities, and context.”
Quote in the paperNot yet classified1 of 1 sources checked- cites Seabrook et al., 2016 source
The Discussion ('Mixed Results and Nonpredictors' and 'Cognitive Aspects as Mechanisms and Moderators'; page not provided) reports mixed findings and says that functions of use and moderating factors matter more than total use frequency. However, the Results ('Summary of Findings'; page not provided) explicitly identifies several general themes, contrary to the claimed lack of common themes, and the supplied passages do not establish a lack of reproducible findings. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn prior research with adolescents at risk for substance use and externalizing problems, more time online, more texting, and a greater number of texts sent were associated with less same-day anxiety.
“more time spent online, texting, and a greater number of texts sent were associated with less same day anxiety”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George et al., 2018 source
May combine two claims.
PremisecitationIn a preregistered UK study, across models the results were inconsistent, tended to be conditional on gender with more likelihood among females, and varied widely depending on how the data were analyzed.
“results were inconsistent, tended by be conditional (more likely to be present among females) on gender, with results that varied widely depending on how the data were analyzed.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Orben, Dienlin, & Przybylski, 2019 source
May combine two claims.
PremisecitationThese methods reduce recall bias inherent in retrospective self-reports and facilitate more accurate assessments of time allocation and mental health symptoms over the day.
“More specially, these methods have been shown to reduce the recall bias that is inherent in retrospective self-reports of experiences (which as detailed above is quite poor for estimates of time spent using technology; Ellis, 2019) and facilitate more accurate assessments of time allocation and mental health symptoms over the course of the day.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Ellis, 2019 source
May combine two claims.
PremisecitationAdolescents struggling with offline mental health problems are more likely to seek out more negative online content and to spend more time passively lurking rather than engaging with others online.
“adolescents struggling with offline mental health problems are more likely to seek out more negative online content and spend more time passively ‘lurking’ versus engaging with others in online spaces”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Underwood & Ehrenreich, 2017 source
In “Less Obvious Forms of Digital Harm” (page unavailable), the paper reports that passive Facebook use was associated with depressive symptoms for girls and suggests that adolescents with offline peer problems may be especially vulnerable to the effects of lurking. It does not establish that adolescents with pre-existing mental health problems spend more time lurking than engaging, or that they seek out negative content. In “What Can Psychologists Learn by Examining the Content of Digital Communication?” (page unavailable), girls with internalizing symptoms were more likely to post negative affect—an active behavior. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationPrzybylski and Weinstein's preregistered study of over 120,000 English adolescents found no robust associations between mental well-being and moderate digital technology use, with measurable albeit small negative associations (less than 1% variance explained) for high engagement.
“In a related 2017 preregistered study of over 120,000 English adolescents, the authors found no robust associations between mental well-being and moderate use of digital technology (which characterizes use by most adolescents), with a measurable ‘albeit small’ negative associations (less than 1% of the variation explained) for those with high levels of engagement (Przybylski & Weinstein, 2017).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Przybylski & Weinstein, 2017 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Rests on an assumption: Effect sizes explaining less than 1% (or 0.5%) of variance in mental health outcomes are not clinically or practically significant.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThat study concluded that the Facebook-use effect was not attributable to loneliness and was not moderated by other risk factors.
“This study concluded that this effect was not attributable to loneliness, nor was it moderated by other risk factors.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kross et al., 2013 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe UK study authors concluded that over time the associations were likely reciprocal, small at best, stronger for females, and largely dependent on the analytic approach used.
“over time, associations were likely to be reciprocal, small at best, stronger for females and largely dependent on the analytic approach adopted when analyzing the data.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Orben, Dienlin, & Przybylski, 2019 source
May combine two claims.
PremisecitationIn that UK study, most reported associations were small, and with stringent statistical controls the associations did not differ significantly from zero in over half of the fitted models.
“Most reported associations were small (‘arguably trivial’ as characterized by the authors) and in cases where stringent statistical controls were used, associations did not differ significantly from zero in over half of the models that were fit to the data.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Orben, Dienlin, & Przybylski, 2019 source
May combine two claims.
PremisecitationMany studies report positive associations and substantial overlap between adolescents' online and offline interactions and relationship quality.
“Many studies now report positive associations and substantial overlap between adolescents online and offline interactions and relationship quality.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites George & Odgers, 2015 source
Classified as probably not a substantial claim. May combine two claims.
InterpretationcitationDigital tools offer the promise of taking evidence-based interventions to scale, reducing disparities in access to effective treatments and supports, and removing barriers to treatment resources.
“Digital tools offer the promise of taking evidence-based interventions to scale, reducing disparities in access to effective treatments and supports, and removing barriers to treatment resources”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Lind et al., 2018 source
The Motivation section (page unavailable) describes mobile interventions as promising and calls for interventions that are scalable and can reach people outside traditional mental health care. It does not say that digital tools reduce disparities in access or remove barriers to treatment resources; its proposed tool primarily assesses risk rather than delivering evidence-based treatment. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationOnline social networking site use tends to be associated with more internalizing when it is excessive, reduces in-person interactions, or involves negative interactions or social comparisons.
“tends to be associated with more internalizing in instances when it is excessive, reduces time spent in in-person interactions, and in which interactions are negative or involve social comparisons”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Clark, Algoe, & Green, 2018 source
In “Associations Between Use of Social Network Sites and Lower Well-Being” (page unavailable), the paper links social comparison to depression and non-interactive use to loneliness. It does not establish that excessive use or negative interactions, as such, are associated with more internalizing; its discussion of displaced face-to-face socializing concerns earlier Internet use rather than social network sites specifically. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Seabrook et al., 2016 source
The Discussion’s Principal Findings link negative interactions, frequent social comparison, and addictive or problematic SNS use to higher depression and anxiety. The paper does not establish that SNS use is associated with more internalizing specifically when it reduces time spent interacting in person; its discussion of unmet face-to-face needs concerns a possible motive for problematic use, not displacement of in-person time. It also distinguishes problematic use from total time spent on SNSs, for which findings were mixed. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
Findingnone givenMost research on digital technology and adolescent mental health has been correlational, focused more on adults than adolescents, and has produced a mix of small positive, negative, and null associations.
“The review highlights that most research to date has been correlational, focused on adults versus adolescents, and has generated a mix of often conflicting small positive, negative and null associations.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAcross the 29 studies reviewed in Table 1, only two included objective or informant-rated measures of screen time or social media usage, and most did not go beyond time-based summaries.
“Across the 29 studies reviewed in Table 1, only two included objective or informant-rated measures of screen time or social media usage, and the majority did not go beyond relying on time-based summaries (e.g., 2 hr per day online) to characterize usage.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 29 adolescent-focused studies in Table S1, only 4 (14%) were longitudinal and only two included an experimental or quasi-experimental design.
“Of the 29 studies included in Table S1, only 4 (14%) are longitudinal and only two studies included an experimental or quasi-experimental design.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningWhen associations between time online and internalizing symptoms exist, they are likely too small to be practically or clinically meaningful, explain less than 0.5% of symptom variance, are poorly adjusted for confounders, and almost always come from correlational designs.
“when present, are likely too small to translate into practically or clinically meaningful effects (explaining less than 0.5% of the variance in symptoms with poor adjustment for relevant confounding factors and estimates that are virtually always derived from correlation designs)”
Quote in the paperSubstantial claim- Rests on an assumption: Effect sizes explaining less than 1% (or 0.5%) of variance in mental health outcomes are not clinically or practically significant.
May combine two claims.
Findingnone givenMost studies to date have relied on relatively small, nonrepresentative samples, limiting generalizability and adequately powered interaction tests.
“Third, most studies to date have relied on relatively small, nonrepresentative samples, which limits the ability to both generalize back to the larger population of adolescents and to conduct adequately powered interaction tests to identify which subpopulations may be most at risk”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMost empirical research on effects of digital technologies on well-being has focused on young children or adults, and the early adolescent period has been neglected.
“Fourth, while a significant amount of time has been spent discussing issues related to negative impacts of digital technologies on adolescents, most empirical research on the effects of digital technologies on well-being has focused on young children or adults (as evidenced by the small number of studies that met inclusion for the quantitative analyses above). More specifically, the early adolesc”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe most recent and rigorous large-scale preregistered studies report small associations between daily digital technology usage and adolescent well-being; these associations do not distinguish cause from effect and are unlikely to be clinically or practically significant.
“The most recent and rigorous large-scale preregistered studies report small associations between the amount of daily digital technology usage and adolescents’ well-being that do not offer a way of distinguishing cause from effect and, as estimated, are unlikely to be of clinical or practical significance.”
Quote in the paperSubstantial claim- Rests on an assumption: Effect sizes explaining less than 1% (or 0.5%) of variance in mental health outcomes are not clinically or practically significant.
May combine two claims.
Findingown dataIn that ecological momentary assessment study, the associations that were observed between technology use and mental health were small and ran opposite to the direction expected from concerns about digital technology harming adolescents.
“When associations were observed, they were small and in the opposite direction that would be expected given recent concerns about digital technology damaging adolescents’ mental health.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningA review of existing research demonstrates inconsistent and primarily small associations between quantity of digital technology usage and mental health, with no way to discern cause from effect.
“However, a review of the existing research demonstrates inconsistent and primarily small associations between the quantity of digital technology usage and mental health, with no way to discern cause from effect.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenNone of the studies reviewed tested, or were powered to test, whether associations differed by developmental stage; when adolescence was considered separately, adolescents were treated as a homogenous group.
“None of the studies reviewed above tested, or were powered to test, whether associations differed by developmental stage. Instead, when adolescence was considered separately, adolescents were treated as a homogenous group.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningAt present, narrative reviews and meta-analytic work do not support causal claims, or even strong and consistent correlational patterns, linking adolescents' digital technology usage with mental health problems.
“At present, narrative reviews and meta-analytic work do not support causal claims, or even strong and consistent correlational patterns, linking adolescents’ digital technology usage with mental health problems.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningDiary and EMA studies are converging on similar findings as reviews, with small associations that vary in direction between positive, negative, and null.
“Studies that have followed adolescents intensively using diary studies or Ecological Momentary Assessment (EMA) are also converging on a similar set of findings as those reviewed above, with small associations that vary in direction between positive, negative and null.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationThe Danish Facebook break study's validity and generalizability to adolescents are limited because participants were unpaid adult volunteers recruited via Facebook ads, 86% women, average age 48, and not blind to condition.
“However, the validity of this study and generalizability to adolescents is limited due to the fact that participants were unpaid adult volunteers recruited via Facebook ads, 86% of whom were women with an average age of 48 years, and all of whom were not blind to their condition prior to reporting on whether their mental health had improved after giving up Facebook.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tromholt, 2016 source
May combine two claims.
InterpretationcitationSelective sampling and recruitment limits generalizability and has resulted in conclusions drawn almost exclusively from WEIRD societies, likely skewing conclusions to a minority of adolescents worldwide.
“This type of selective sampling and recruitment limits the generalizability of research findings and has resulted in conclusions being drawn almost exclusively from WEIRD (Western, Educated, Industrialized, Rich and Democratic) societies, an approach that is likely to heavily skew conclusions about potential impacts on adolescent mental health to a minority of adolescents worldwide (Henrich, Heine”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Henrich, Heine, & Norenzayan, 2010 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationKeles et al.'s systematic review of 13 studies (12 cross-sectional) found a general pattern of associations between social media usage and mental health problems, but methodological limitations limited conclusions.
“Again, the authors observed a general pattern of associations between social media usage and mental health problems, but noted that methodological limitations, the reliance on cross-sectional designs, and failure to include relevant mediators and moderators of associations, limited conclusions that could be drawn about the nature of this association.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Keles, McCrae, & Grealish, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductcitationScreen time measures are typically gathered via retrospective self-reports, introducing recall bias, and are assessed alongside self-reported mental health, introducing common method or rater bias.
“In addition, screen time measures are typically gathered via retrospective self-reports from youth, which introduces recall bias, and are assessed alongside self-reported measures of mental health, which introduces common method or rater bias (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003) into the research design and analysis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Podsakoff, MacKenzie, Lee, & Podsakoff, 2003 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBest et al.'s systematic narrative review of 43 studies found contradictory evidence of mixed, null, and positive associations between online communication/social media and well-being, and emphasized the lack of robust causal research.
“Across studies, they observed contradictory evidence of mixed, null, and positive associations and emphasized the lack of robust causal research regarding the impact of social media on mental well-being among young people.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Best and colleagues (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationCurrently, most adolescents are online and typically connect with friends and family they know offline.
“Today, the majority of adolescents are online, typically connecting with offline friends and family (Reich, Subrahmanyam, & Espinoza, 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Reich, Subrahmanyam, & Espinoza, 2012 source
May combine two claims.
PremisecitationYouth from more supportive and well-resourced homes are more likely to receive adult scaffolding and to have more positive online experiences.
“youth from more supportive and well-resourced homes are more likely to receive more scaffolding from adults and have more positive experiences online”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mascheroni & Ólafsson, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationKreski et al. analyzed 8th and 10th grade students across 2009-2017; after adjusting for confounding and stratifying by depression propensity, the most consistent association was that girls (not boys) with lowest depression propensity had slightly increased risk for depressive symptoms with daily social media use.
“The most consistent associations observed, after adjusting for confounding and stratifying by depression propensity, indicated that girls (but not boys) who had the lowest propensity for depression had slightly increased risk for depressive symptoms with daily social media use exposure.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kreski et al., submitted
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn an ecological momentary assessment of adults, momentary supportive online interactions were associated with momentary positive affect.
“momentary supportive online interactions were associated with momentary positive effect”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Oh, Ozkaya, LaRose, 2014 source
May combine two claims.
PremisecitationOrben and Przybylski's specification curve analysis across three national data sources (N > 350,000) found that choices in specifying variables can generate many effect sizes, with the most likely association exceedingly small and explaining a small portion of variance in well-being.
“Using specification curve analysis across three national data sources of adolescents (N > 350,0000), two based in the United States and one in the UK, Orben and Przybylski (2019) demonstrated that choices related to the specification of variables capturing digital technology use, adolescent well-being, and confounders can generate a myriad of effect sizes, with the most likely association being ex”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Orben and Przybylski (2019)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationLongitudinal research shows that children with higher-quality social relationships were more likely to become more frequent users of online communication as adolescents and in turn to have more cohesive offline and online friendships.
“longitudinal research has shown that children with higher quality social relationships (e.g., better reported relationships with friends, caregivers, siblings, and teachers) were more likely to become more frequent users of online communication as adolescents (email, chats, or messaging) and, in turn, have more cohesive offline and online friendships”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee, 2009 source
May combine two claims.
InterpretationcitationWhile social media usage and depression both increased over the last decade in the US, the linkage between them is mostly nonexistent, and when associations are detected, evidence indicates they have become weaker over time.
“Thus, while social media usage and depression have been both increasing over the last decade in the United States, the linkage between the two is mostly nonexistent, and when associations are detected, evidence indicates that they have become weaker over time.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningTo date, study designs and analytic approaches in this field have not been sufficient to support causal claims or to warrant widespread panic about smartphones, social media, and adolescent mental health.
“the study designs and analytic approaches in this field have not been sufficient to support causal claims nor do they warrant the widespread panic related to smartphones, social media and adolescent mental health.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn that adult ecological momentary assessment, momentary supportive online interactions were not related to momentary negative affect.
“but were not related to momentary negative affect”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Oh, Ozkaya, LaRose, 2014 source
May combine two claims.
PremisecitationDiary and EMA designs allow in-the-moment data capture, enhance recall, and produce more reliable and complete data on daily experiences.
“Diary and EMA research designs allow for ‘in the moment’ data capture as young people report on their lived and recent experience and, more generally, enhance recall and produce more reliable and complete data on daily experiences (Shiffman, Stone, & Hufford, 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shiffman, Stone, & Hufford, 2008 source
May combine two claims.
PremisecitationRecent reporting from these same data acknowledges that results are highly dependent on model specification and that associations are greatly reduced after considering confounders and alternative specifications.
“there has been an acknowledgement that results are highly dependent on how the models are specified and that associations are greatly reduced once potential confounders and alternative specifications are considered.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kreski et al., submitted
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Orben & Przybylski, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Not yet classified.
PremiseRecent analyses of these data communicated that there is no evidence of practically meaningful linkages between social media and contemporary adolescents' depressive symptoms.
“the message communicated from the recent analyses based on these data has been that there is no evidence of practically meaningful linkages between social media and contemporary adolescents’ depressive symptoms.”
Quote in the paperNot yet classified0 of 2 sources checked- cites Kreski et al., submitted
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Orben & Przybylski, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningIn the Monitoring the Future Study, as in most reviewed studies, cause and effect could not be distinguished.
“there was no way to sort out cause from effect in this study.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Twenge et al., 2018 source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis contrast in communication raises questions about responsible and reproducible reporting of findings with public health importance from large public-use databases.
“raises a number of questions related to the responsible and reproducible reporting of findings with public health importance from large, public use databases.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Interpretationnone givenAdolescents engage with multiple social media platforms that can change rapidly over time, creating challenges for researchers trying to capture their online interactions and experiences.
“Adolescents are also engaging with multiple social media platforms which can change rapidly over time, creating challenges for researchers trying to capture the complex nature of their interactions and experiences in the online world.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenScreen time is no longer a useful construct, but it still dominates research and public discourse.
“Screen time is no longer a useful construct, but it still dominates research and public discourse.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenDigital technologies provide new opportunities to support all adolescents, especially vulnerable ones.
“Digital technologies provide new opportunities to support all, but especially vulnerable, adolescents”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThere have been unprecedented and rapid changes in how adolescents spend their time, connect to the world, and communicate with each other.
“Digitally, there have been unprecedented and rapid changes in how adolescents spend their time, connect to the world, and communicate with each other.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenResearch since that time has been mostly correlational, tends to focus on adults rather than adolescents, and has generated a mix of small positive, negative, and null associations.
“Research since that time has been mostly correlational, tends to focus on adults versus adolescents and has generated a mix of small positive, negative, and null associations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenDigital devices and their affordances are especially strong attractors for young people given their heightened need for affiliation, social approval, and novelty seeking.
“digital devices, and the affordances that they provide, are especially strong attractors for young people given their heighted need for affiliation, social approval, and novelty seeking.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenDigital technologies are likely to provide affordances that could be used to maintain and strengthen offline relationships, but relatively few evidence-based intervention efforts currently exist.
“Digital technologies are likely to provide a number of affordances that could be used to maintain and strengthen offline relationships, but relatively few evidence-based intervention efforts currently exist.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe traditional digital divide refers to differential access to new technologies; that gap still exists but is shrinking in many countries.
“Traditionally, the ‘digital divide’ has referred to differential access to new technologies. That gap still exists, but in many countries, it is shrinking”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites OECD, 2016 source
May combine two claims.
InterpretationreasoningMost attention given to adolescents' digital technology usage and mental health has focused on negative effects and has been based on weak correlational data.
“most of the attention given to adolescents’ digital technology usage and mental health has focused on negative effects and has been based on weak correlational data.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenPeer-to-peer training and supports, online support and referral systems, and translation of evidence-based therapies such as cognitive behavioral therapy into digital formats have provided proof of principle that digital technologies can be used to connect to and support young people.
“Peer-to-peer training and supports (e.g., mental health first aid), online support and referral systems (e.g., seven Cups of Tea) and the translation of evidence-based therapies, such as cognitive behavioral therapy, into digital format and delivery systems, has provided proof of principal that digital technologies can be used to connect to and support young people.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningClinicians, parents, and researchers can now connect with adolescents where they spend much of their time and reach young people who may otherwise never enter a clinic or research laboratory.
“clinicians, parents and researchers can now connect with adolescents where they spend much of their time and reach young people who may otherwise never enter a clinic or research laboratory.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe rapid adoption of new digital technologies may amplify existing inequalities in adolescent mental health and well-being.
“The rapid adoption of new digital technologies may amplify existing inequalities in adolescent mental health and well-being.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenOver the past decade, the rapid uptake of social media has fueled fears that social media platforms are causing serious mental health problems.
“Over the past decade the rapid uptake of social media has fueled fears that social media platforms are causing serious mental health problems.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenHistorically, the introduction of new technologies has tended to benefit those best positioned to take advantage of their affordances.
“Historically, the introduction of new technologies have tended to benefit those who are best positioned to take advantage of the affordances that they provide.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationSupportive peers and networks carry important protective effects for young people's mental health, and there is increasing evidence that online communication may be a critical way peer-to-peer support and communication occurs among adolescents.
“Supportive peers and networks carry important protective effects for young people’s mental health, and there is increasing evidence that online communication may be a critical way that peer-to-peer support and communication occurs among adolescents.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenMobile device ownership and social media use have reached unprecedented levels among adolescents.
“Mobile device ownership and social media use have reached unprecedented levels among adolescents.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Effect sizes explaining less than 1% (or 0.5%) of variance in mental health outcomes are not clinically or practically significant.
“are unlikely to be of clinical or practical significance”
“likely too small to translate into practically or clinically meaningful effects (explaining less than 0.5% of the variance in symptoms”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
For adolescents who feel marginalized or isolated in physical microsystems, virtual microsystems offer connections with like-minded individuals and socioemotional support.
“for adolescents who may feel marginalized or isolated (e.g., LGBTQ youth, youth of color) in their physical microsystems, virtual microsystems offer opportunities for connections with like-minded individuals and socioemotional support (Odgers & Jensen, 2020).”
From Technologizing Bronfenbrenner: Neo-ecological Theory. (2023) · cites this paper as Odgers & Jensen, 2020
In “Overcoming fears and forging future directions” (page unavailable), the review says online communication can foster adolescent peer support and that young people with lower social and emotional well-being seek support online. It does not specifically say that LGBTQ youth or youth of color who feel isolated offline find like-minded individuals online. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSome reviews noted the typically small and homogenous samples.
“Some reviews also noted the typically small and homogenous samples (e.g.[21], [33], [41])”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [33]
In the Introduction (page not provided), the review says the vast majority of studies came from high-income settings and that selective sampling produced conclusions drawn almost exclusively from WEIRD societies. This supports the concern about homogeneous samples, but the passages do not establish that sample sizes were typically small; the paper’s references to small associations and a small number of eligible studies are different points. (LLM, conf=0.85)
Experimental — accuracy not yet measuredRising social-reward sensitivity and intensifying peer orientation across mid-adolescence can heighten responsiveness to online social cues.
“These age-graded hazards align with developmental accounts that emphasize rising social-reward sensitivity and intensifying peer orientation across mid-adolescence, which can heighten responsiveness to online social cues (48, 61).”
From Developmental Trajectories and Outcomes of Online Child Sexual Abuse: A Systematic Review of Longitudinal Studies (2026) · cites this paper as [61]
In “Overcoming fears and forging future directions,” the review suggests that adolescents already sensitive to peer rejection offline may need support during online interactions. But in “What do we currently know,” it says the reviewed studies did not test differences by developmental stage; it does not establish rising social-reward sensitivity or intensifying peer orientation across mid-adolescence as the reason for greater responsiveness to online cues. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredDevelopmental factors such as limited self-regulation skills and vulnerability to peer influence may amplify these effects.
“Developmental factors such as limited self-regulation skills and vulnerability to peer influence may amplify these effects (Odgers et al., 2019).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Odgers et al., 2019
In the Introduction’s ‘Overcoming fears and forging future directions’ section (page not provided), the review says adolescents sensitive to peer and social rejection may need more support in online interactions, and that existing offline vulnerabilities can accompany online risk. It does not identify limited self-regulation skills as a factor amplifying those effects. (LLM, conf=0.84)
Experimental — accuracy not yet measuredGiven conceptual confusion and overlap between cyberbullying and cyberaggression, when an adolescent discloses either experience, clinicians should assess for mental health difficulties commonly associated with technology-facilitated abuse, such as anxiety, depression, and suicidal ideation.
“Given the conceptual confusion and overlap between cyberbullying and cyberaggression, when an adolescent discloses either experience, clinicians should assess for mental health difficulties commonly associated with technology-facilitated abuse, such as anxiety, depression, and suicidal ideation (126).”
From A thematic analysis of adolescents’ perceptions of cyberbullying and cyberaggression: definitional distinctions and educational gaps (2026) · cites this paper as [126]
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
There is a lack of empirical evidence on the effects of social media use on adolescents because most studies have focused on young children or adults.
“there is a lack of empirical evidence on the effects of social media use on adolescents since the majority of studies have focused on young children or adults (Odgers and Jensen 2020).”
From Longitudinal association between social media use and psychological distress among adolescents (2020) · cites this paper as Odgers and Jensen 2020
Many reviews observed an over-reliance on self-report measures of SMU and its outcomes.
“Many reviews observed an over-reliance on self-report measures of SMU and its outcomes (e.g.[21], [33], [37]), which may have introduced various biases.”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [33]
Individuals with a liability to mental health issues may be more susceptible to the negative effects of social media.
“Some studies have supported the rich-get-richer view of online communication (ie, those who already have strong offline friendships might benefit most from digital interaction), whereas those with a liability to mental health issues might be more susceptible to the negative effects78 (eg, those who have been victimised in person are more likely to be victimised or bullied online).79”
From The effects of social deprivation on adolescent development and mental health (2020) · cites this paper as [78]
Some studies support the rich-get-richer view that individuals who already have strong offline friendships may benefit most from digital interaction.
“Some studies have supported the rich-get-richer view of online communication (ie, those who already have strong offline friendships might benefit most from digital interaction), whereas those with a liability to mental health issues might be more susceptible to the negative effects78 (eg, those who have been victimised in person are more likely to be victimised or bullied online).79”
From The effects of social deprivation on adolescent development and mental health (2020) · cites this paper as [78]
The consequences of social media use are dependent on individual differences.
“Furthermore, there is growing consensus that the consequences of social media use will be dependent on individual differences.78”
From The effects of social deprivation on adolescent development and mental health (2020) · cites this paper as [78]
How teens use social media may be more important than how often they use it.
“Moreover, earlier studies indicate that how teens use social media (e.g., in ways that are harmful to their health or that they feel they have to do) may be more important than how often they use it (61, 70).”
From Developmental Trajectories and Outcomes of Online Child Sexual Abuse: A Systematic Review of Longitudinal Studies (2026) · cites this paper as [61]
Recent work has reported no significant link between social media use and well-being.
“However, recent work has also reported no significant link between social media use and well-being (Odgers and Jensen, 2020; Orben and Przybylski, 2019) and suggested that social media use itself may not be a strong predictor of well-being outcomes (Coyne et al., 2020; Hall et al., 2019; Heffer et al., 2019; Orben et al., 2019; Stieger and Lewetz, 2018).”
From Social media use and systemic inflammation: The moderating role of self-esteem (2021) · cites this paper as Odgers and Jensen, 2020
The effect sizes are comparable to those typically found in studies on social media use and psychological well-being (from r = −0.05 to r = −0.15).
“though comparable to those typically found in studies on social media use and psychological well-being (from r = −0.05 to r = −0.15).”
From Social media use and systemic inflammation: The moderating role of self-esteem (2021) · cites this paper as Odgers and Jensen, 2020
Other factors explain far more variability in psychosocial well-being than screen time when theoretically-aligned approaches are used.
“other factors tend to explain far more variability when researchers adopt more theoretically-aligned approaches that explain the link between screen time and psychosocial well-being [3,7]”
From The Conceptual and Methodological Mayhem of “Screen Time” (2020) · cites this paper as [3]
The screen time literature presents mixed findings.
“recent reviews and meta-analyses repeatedly conclude that the evidence base is difficult to interpret and presents mixed findings [3,4]”
From The Conceptual and Methodological Mayhem of “Screen Time” (2020) · cites this paper as [3]
A recent annual research review reported that previous literature examining screen time has produced mixed results, and that screen time itself may not be cause for concern; rather, how electronic media is being consumed by adolescents is the more important consideration.
“However, a recent annual research review reported that previous literature examining screen time has produced mixed results, and that screen time itself may not be cause for concern; rather, how electronic media is being consumed by adolescents is the more important consideration [22].”
Our results are in line with a recent review [22].
“our results are in line with a recent review [22].”
The type of screen time use is more important to consider than screen time itself.
“suggesting, as previous studies [22, 23] point out, that the type of screen time use is more important to consider than screen time itself.”
In contrast to contextual amplification theory, which casts puberty in a moderating role, we propose direct and indirect effects of pubertal (and neural) changes on social processes and mental health.
“Thus in contrast to contextual amplification theory(138) which casts puberty in a moderating role, we propose direct and indirect effects of pubertal (and neural) changes on social processes and mental health (see Figure 1).”
From Puberty Initiates Cascading Relationships Between Neurodevelopmental, Social, and Internalizing Processes Across Adolescence (2021) · cites this paper as [138]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Percent of variance explained by r = 0.4% is inconsistent with 99.666% remaining
MajorThe text says a correlation accounted for <1% of the variation, then states that 99.666% was due to other factors. If 99.666% is unexplained, the explained portion is 0.334%, not 0.4%.
Reported 0.4 · recomputed 0.334
“This paper (Twenge et al., 2018) reported on a correlation that accounted for <1% of the variation in depressive symptoms; that is 99.666% of the variation in adolescent’s depressive symptoms was due to other factors, and the small correlation between digital technology usage and depression (0.4%) was cross-sectional”
The 29 studies are assigned to different tables
MinorOne passage places the 29 reviewed studies in Table S1, while another places them in Table 1. The text otherwise describes Table 1 as covering the six reviews and Table S1 as detailing their included studies.
“Of the 29 studies included in Table S1”
“Across the 29 studies reviewed in Table 1”
Claim of statistical significance conflicts with the confidence interval
MinorThe reported 95% confidence interval includes zero, so it does not support calling the association statistically significant at the conventional 5% level.
“a small, but statistically significant, association between social media usage and depressive symptoms”
“(r = .13, 95% CI: −.05 to 0.20)”
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The State of the Worlds Children 2017: Children in a Digital World.
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InfluentialGeorge, M. J., Russell, M. A., Piontak, J. R., & Odgers, C. L. (2018) · Child Development · doi:10.1111/cdev.12819 · Cited by 174 · cited 1× · see citing works
“These findings are consistent with our prior research with adolescents deemed at risk for substance use and externalizing problems, where more time spent online, texting, and a greater number of texts sent were associated with less same day anxiety, and more texts sent were also associated with less same day depressio…”
Self-citationSmartphones are bad for some teens, not all
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InfluentialSelf-citationAdolescents' use of Instant Messaging as a means of emotional relief
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“…demonstrated that virtual communication can have positive impacts, with randomization to instant messaging and virtual communication leading to reductions in distress (Dolev-Cohen and Barak, 2013) and replenishment of self-esteem and perceived relational value after social exclusion (Gross, 2009).”
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“Similarly, adolescents struggling with offline mental health problems are more likely to seek out more negative online content and spend more time passively ‘lurking’ versus engaging with others in online spaces (Underwood & Ehrenreich, 2017).”
Are the qualities of adolescents’ offline friendships present in digital interactions
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“As reviewed above, digital communication is often used to support adolescents’ peer relationships by creating opportunities for displays of affection, intimate disclosure, and offline activities (Yau & Reich, 2017).”
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“In contrast, experimental studies with college students have demonstrated that virtual communication can have positive impacts, with randomization to instant messaging and virtual communication leading to reductions in distress (Dolev-Cohen and Barak, 2013) and replenishment of self-esteem and perceived relational val…”
Influential(2018) · Cited by 116 · see citing works
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The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing
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“Digital tools offer the promise of taking evidence-based interventions to scale, reducing disparities in access to effective treatments and supports, and removing barriers to treatment resources (Lind et al., 2018).”
Frison, E., Subrahmanyam, K., & Eggermont, S. (2016) · Journal of Youth and Adolescence · doi:10.1007/s10964-016-0436-z · Cited by 76 · see citing works
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Nelson, B. W., & Allen, N. B. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691618776008 · Cited by 60 · cited 1× · see citing works
“A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript people that may be most relevant to their mental health (Mohr, Zhang, & Schueller, 2017; Nelson & Allen, 2018).”
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Social-Media Use May Explain Little of the Recent Rise in Depressive Symptoms Among Adolescent Girls
Daly, M. (2018) · Clinical Psychological Science · doi:10.1177/2167702617750869 · Cited by 31 · cited 2× · see citing works
“…voiced regarding the claim that digital technology usage has led to increases in adolescent depression and related mental health problems (Daly, 2018; Livingstone, 2018); however, much of the conversation about contemporary adolescents’ mental health implicates digital technology usage…”
Why Digital Tools Have Not Yet Revolutionized Adolescent Health Research and What We Can Do
Odgers, C. L. (2019) · Journal of Research on Adolescence · doi:10.1111/jora.12534 · Cited by 23 · cited 2× · see citing works
“In our most recent EMA study (Jensen, George, Russell, & Odgers, 2019), adolescents were tracked on their smartphones to test whether more time spent using digital technology was linked to worse mental health outcomes.”
Self-citationAre there differences in how advantaged and disadvantaged students use the Internet?
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“…contrast in how the findings are communicated highlight the need to exercise caution and ensure that policies, parenting practices and the allocation of public health resources are based on robust facts versus common fears regarding how digital technologies influence young people (Uhls, 2016).”
Influential
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Research works printed but not linked: 1
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Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt‐Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021) · World Psychiatry · doi:10.1002/wps.20883 · Cited by 1,199 · see citing works
The effects of social deprivation on adolescent development and mental health
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“Furthermore, there is growing consensus that the consequences of social media use will be dependent on individual differences( 79 ).”
Social media use and its impact on adolescent mental health: An umbrella review of the evidence.
Valkenburg, P. M., Meier, A., & Beyens, I. (2022) · Current opinion in psychology · doi:10.1016/j.copsyc.2021.08.017 · Cited by 767 · see citing works
Social Media and Well-Being: Pitfalls, Progress, and Next Steps
Kross, E., Verduyn, P., Sheppes, G., Costello, C. K., Jonides, J., & Ybarra, O. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.10.005 · Cited by 474 · see citing works
“in the text as well as several recent systematic reviews of the literature [4,6,35].”
BackgroundInfluentialPfeifer, J. H., & Allen, N. B. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.002 · Cited by 411 · see citing works
Windows of developmental sensitivity to social media
Orben, A., Przybylski, A. K., Blakemore, S.-J., & Kievit, R. A. (2022) · Nature Communications · doi:10.1038/s41467-022-29296-3 · Cited by 387 · see citing works
Social Media Use and Its Connection to Mental Health: A Systematic Review
Karim, F. B., Oyewande, A. A., Abdalla, L. F., Ehsanullah, R. C., & Khan, S. (2020) · Cureus · doi:10.7759/cureus.8627 · Cited by 378 · see citing works
The ABCD study: understanding the development of risk for mental and physical health outcomes
Karcher, N. R., & Barch, D. M. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-0736-6 · Cited by 351 · see citing works
“However, previous research has not established screen time as a causal factor in the development of mental health outcomes, or whether altered social media use and screen time are a correlate or consequence of the development of psychopathology [98].”
BackgroundBoer, M., Stevens, G. W. J. M., Finkenauer, C., de Looze, M. E., & van den Eijnden, R. J. J. M. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106645 · Cited by 335 · see citing works
Choukas-Bradley, S., Roberts, S. R., Maheux, A. J., & Nesi, J. (2021) · doi:10.31234/osf.io/ju92a · Cited by 331 · see citing works
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Technologizing Bronfenbrenner: Neo-ecological Theory.
Navarro, J. L., & Tudge, J. R. H. (2023) · Current Psychology · doi:10.1007/s12144-022-02738-3 · Cited by 325 · see citing works
The associations between screen time and mental health in adolescents: a systematic review
Santos, R. M. S., Mendes, C. G., Sen Bressani, G. Y., de Alcantara Ventura, S., de Almeida Nogueira, Y. J., de Miranda, D. M., & Romano-Silva, M. A. (2023) · BMC Psychology · doi:10.1186/s40359-023-01166-7 · Cited by 311 · see citing works
“Currently, there is a suggestion that the term “screen time” is no longer a useful construct [73], since the devices and the social character of the media must be evaluated separately, the nature of the content may”
BackgroundEthics of the Attention Economy: The Problem of Social Media Addiction
Bhargava, V. R., & Velasquez, M. (2021) · Business Ethics Quarterly · doi:10.1017/beq.2020.32 · Cited by 292 · see citing works
“Recent critical reviews of the research on social media have, in fact, pointed out that the correlational studies do not adequately distinguish cause from effect (Odgers & Jensen, 2020; Orben & Przybylski, 2019).”
BackgroundThe Conceptual and Methodological Mayhem of “Screen Time”
K. Kaye, L., Orben, A., A. Ellis, D., C. Hunter, S., & Houghton, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103661 · Cited by 304 · see citing works
“Whilst some evidence routinely shows negative correlations between screen time and well-being [1,2], recent reviews and meta-analyses repeatedly conclude that the evidence base is difficult to interpret and presents mixed findings [3,4].”
BackgroundResultEirich, R., McArthur, B. A., Anhorn, C., McGuinness, C., Christakis, D. A., & Madigan, S. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.0155 · Cited by 293 · see citing works
Shanmugasundaram, M., & Tamilarasu, A. (2023) · Frontiers in Cognition · doi:10.3389/fcogn.2023.1203077 · Cited by 291 · see citing works
“Developmental factors such as limited self-regulation skills and vulnerability to peer influence may amplify these effects (Odgers et al., 2019).”
BackgroundDigital well-being theory and research
Büchi, M. (2024) · New Media & Society · doi:10.1177/14614448211056851 · Cited by 277 · see citing works
“…time as the independent variable and indicators of depression or anxiety as the dependent variable (for an overview, see Dienlin and Johannes, 2020; Odgers and Jensen, 2020), with the current state of research indicating clinically insignificant relationships and little evidence regarding cause…”
BackgroundKeyes, K. M., & Platt, J. M. (2024) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13864 · Cited by 253 · see citing works
Mechanisms linking social media use to adolescent mental health vulnerability
Orben, A., Meier, A., Dalgleish, T., & Blakemore, S.-J. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00307-y · Cited by 220 · see citing works
“…a lot of scientific discussion has focused on the impact of social media use on mental health, cross-sectional studies cannot differentiate between whether social media use is influencing mental health or mental health is influencing social media use, or a third factor is influencing both 51 .”
Twenge, J. M., Haidt, J., Lozano, J., & Cummins, K. M. (2022) · Acta Psychologica · doi:10.1016/j.actpsy.2022.103512 · Cited by 191 · see citing works
Social Media Use and Self-Injurious Thoughts and Behaviors: A Systematic Review and Meta-Analysis
Nesi, J., Burke, T. A., Bettis, A. H., Kudinova, A. Y., Thompson, E. C., MacPherson, H. A., Fox, K. A., Lawrence, H. R., Thomas, S. A., Wolff, J. C., et al. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102038 · Cited by 186 · see citing works
The youth mental health crisis: analysis and solutions
McGorry, P. D., Gunasiri, H., Mei, C., Rice, S., & Gao, C. X. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1517533 · Cited by 228 · see citing works
“While evidence suggests a longitudinal association between social media and mental health in young people, the magnitude is likely to be small and the nature of this association is uncertain owing to bidirectional effects and the range of mediating factors (145 – 149).”
Paulich, K. N., Ross, J. M., Lessem, J. M., & Hewitt, J. K. (2021) · PLOS ONE · doi:10.1371/journal.pone.0256591 · Cited by 174 · see citing works
“, using a computer to complete an academic paper) was not recorded; it is possible that academic screen time could be positively associated with academic performance, suggesting, as previous studies [22, 23] point out, that the type of screen time use is more important to consider than screen time itself.”
BackgroundMethodResultChao, M., Lei, J., Ru, H., Jiang, Y., & Yang, H. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115247 · Cited by 204 · see citing works
Stieger, S., Lewetz, D., & Swami, V. (2021) · Journal of Happiness Studies · doi:10.1007/s10902-020-00337-2 · Cited by 122 · see citing works
When the Social Becomes Non-Human: Young People's Perception of Social Support in Chatbots
Bae Brandtzæg, P. B., Skjuve, M., Kristoffer Dysthe, K. K., & Følstad, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445318 · Cited by 153 · see citing works
“social media platforms [51, 70] hosting chatbots, such as Messenger, Kik, and Telegram.”
BackgroundPositive Effects of Digital Technology Use by Adolescents: A Scoping Review of the Literature
Haddock, A. D., Ward, N. L., Yu, R., & O’Dea, N. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192114009 · Cited by 190 · see citing works
“Despite the focus on the negative impacts of technology on child development, the evidence linking digital engagement and negative outcomes is frequently overstated, focused on extreme users, and supported by studies lacking requisite nuance and complexity to discern specific effects [27,28].”
BackgroundVuorre, M., Orben, A., & Przybylski, A. K. (2021) · Clinical Psychological Science · doi:10.1177/2167702621994549 · Cited by 158 · see citing works
“Currently, the literature suggesting a negative link between digital technology engagement and mental health is decidedly mixed and grounded on suboptimal methodologies and data (Dickson et al., 2019; Odgers & Jensen, 2020).”
BackgroundWhat Is Digital Parenting? A Systematic Review of Past Measurement and Blueprint for the Future
Modecki, K. L., Goldberg, R., Wiśniewski, P., & Orben, A. C. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916211072458 · Cited by 208 · see citing works
“…or inconclusive evidence (Allcott et al., 2020; Jensen et al., 2019; Kreski et al., 2021; Orben & Przybylski, 2019b), and reviews have posited that such inconsistent findings may reflect individual differences and complex interactions (Beyens et al., 2020; Odgers & Jensen, 2020; Orben, 2020b).”
BackgroundScreen time, social media use, and adolescent development
Odgers, C. L., Schueller, S. M., & Ito, M. (2020) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-084815 · Cited by 137 · see citing works
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Scrutinizing the effects of digital technology on mental health
Haidt, J., & Allen, N. (2020) · Nature · doi:10.1038/d41586-020-00296-x · Cited by 133 · see citing works
Social media and adolescent well-being in the Global South
Ghai, S., Magis-Weinberg, L., Stoilova, M., Livingstone, S., & Orben, A. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2022.101318 · Cited by 118 · see citing works
Ellison, N. B., Triệu, P., Schoenebeck, S. Y., Brewer, R. N., & Israni, A. (2020) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmaa013 · Cited by 114 · see citing works
Hamilton, J. L., Nesi, J., & Choukas-Bradley, S. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916211014189 · Cited by 110 · see citing works
“Not surprisingly, findings have been mixed (Odgers & Jensen, 2020).”
BackgroundSocial media and well-being: A methodological perspective
Parry, D. A., Fisher, J. T., Mieczkowski, H., Sewall, C. J. R., & Davidson, B. I. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.11.005 · Cited by 117 · see citing works
Promises and Pitfalls of Social Media Data Donations
van Driel, I. I., Giachanou, A., Pouwels, J. L., Boeschoten, L., Beyens, I., & Valkenburg, P. M. (2022) · Communication Methods and Measures · doi:10.1080/19312458.2022.2109608 · Cited by 101 · see citing works
Yang, C.-H., Lv, J.-J., Kong, X.-M., Chu, F., Li, Z.-B., Lu, W., & Li, X. (2024) · The British Journal of Psychiatry · doi:10.1192/bjp.2024.69 · Cited by 106 · see citing works
Fassi, L., Thomas, K., Parry, D. A., Leyland-Craggs, A., Ford, T. J., & Orben, A. (2024) · JAMA pediatrics · doi:10.1001/jamapediatrics.2024.2078 · Cited by 109 · see citing works
Social Media Use and Depressive Symptoms-A Longitudinal Study from Early to Late Adolescence
Puukko, K., Hietajärvi, L., Maksniemi, E., Alho, K., & Salmela-Aro, K. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165921 · Cited by 99 · see citing works
“Systematic reviews and meta-analyses on adolescents’ social media use and psychological well-being have produced mixed results [9,19].”
BackgroundNagata, J. M., Al-Shoaibi, A. A. A., Leong, A. W., Zamora, G., Testa, A., Ganson, K. T., & Baker, F. C. (2024) · BMC Public Health · doi:10.1186/s12889-024-20102-x · Cited by 103 · see citing works
“…on the mental health impacts of screen time among adolescents presents mixed findings that are difficult to collectively interpret [75, 105, 106], highlighting the need to consider different modalities of screen time [11, 51, 87, 89, 90], control for demographic variables and other…”
BackgroundPrinstein, M. J., Nesi, J. L., & Telzer, E. H. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13219 · Cited by 107 · see citing works
“As noted by Odgers and Jensen (2020), extant work remains plagued by several notable limitations.”
BackgroundInfluentialLiu, S., Xu, B., Zhang, D., Tian, Y., & Wu, X. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107090 · Cited by 102 · see citing works
Boniel-Nissim, M., van den Eijnden, R. J. J. M., Furstova, J., Marino, C., Lahti, H., Inchley, J., Šmigelskas, K., Vieno, A., & Badura, P. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107144 · Cited by 96 · see citing works
The great rewiring: is social media really behind an epidemic of teenage mental illness?
Odgers, C. L. (2024) · Nature · doi:10.1038/d41586-024-00902-2 · Cited by 109 · see citing works
Self-citationNick, E. A., Kilic, Z., Nesi, J. L., Telzer, E. H., Lindquist, K. A., & Prinstein, M. J. (2021) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2021.08.025 · Cited by 91 · see citing works
“As adolescents are among the most frequent users of the internet [1], much research has focused solely on the effects of internet use frequency (“screen time”) on adolescents’ mental health [2].”
BackgroundHollis, C., Livingstone, S., & Sonuga‐Barke, E. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13302 · Cited by 90 · see citing works
Social Media and Distraction: An Experience Sampling Study among Adolescents
Siebers, T., Beyens, I., Pouwels, J. L., & Valkenburg, P. M. (2021) · Media Psychology · doi:10.1080/15213269.2021.1959350 · Cited by 99 · see citing works
“…are related within each individual adolescent, scholars have recently called for a personspecific (or idiographic) approach in research on SMU (e.g., Beyens, Pouwels, van Driel, Keijsers, & Valkenburg, 2020b; Odgers & Jensen, 2020; Valkenburg, Beyens, Pouwels, van Driel, & Keijsers, 2021a).”
MethodLongitudinal association between social media use and psychological distress among adolescents
Thorisdottir, I. E., Sigurvinsdottir, R., Kristjansson, A. L., Allegrante, J. P., Lilly, C. L., & Sigfusdottir, I. D. (2020) · Preventive Medicine · doi:10.1016/j.ypmed.2020.106270 · Cited by 90 · see citing works
“focused on young children or adults (Odgers and Jensen, 2020).”
Gray, P., Lancy, D., & Bjorklund, D. F. (2023) · Jornal de Pediatria · doi:10.1016/j.jpeds.2023.02.004 · Cited by 77 · see citing works
“One systematic review concluded that research on links between digital technology use and teens’ mental health “has generated a mix of often conflicting small positive, negative and null associations” (Odgers & Jensen, 2020).(74) Another, a “review of reviews” concluded that “the association between digital technology…”
BackgroundAdolescent addiction to short video applications in the mobile internet era
Lu, L., Liu, M., Ge, B., Bai, Z., & Liu, Z. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.893599 · Cited by 82 · see citing works
McArthur, B. A., Browne, D. T., Tough, S., & Madigan, S. L. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106501 · Cited by 84 · see citing works
Instagram and TikTok Flow States and Their Association with Psychological Well-Being
Roberts, J. A., & David, M. E. (2023) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2022.0117 · Cited by 84 · see citing works
Adolescents' addictive phone use: associations with eating behaviors and adiposity
Domoff, S. E., Sutherland, E. Q., Yokum, S., & Gearhardt, A. N. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17082861 · Cited by 83 · see citing works
“Although countless studies have examined additive phone use and adolescent mental health [20], no studies have examined addictive phone use and obesity risk in US adolescents.”
BackgroundAdolescent Development in the Digital Media Context
Nesi, J. L., Telzer, E. H., & Prinstein, M. J. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1820219 · Cited by 91 · see citing works
“For example, Granic et al. (this issue) argue that digital contexts which support or amplify identity-relevant processes will promote mental health, which could suggest that greater frequency of exposure to these contexts will necessarily engender positive outcomes.”
BackgroundInfluentialHamilton, J. L., Nesi, J. L., & Choukas‐Bradley, S. (2020) · doi:10.31234/osf.io/5stx4 · Cited by 83 · see citing works
Magis‐Weinberg, L., Gys, C. L., Berger, E. L., Domoff, S. E., & Dahl, R. E. (2021) · Journal of Research on Adolescence · doi:10.1111/jora.12666 · Cited by 79 · see citing works
“Social media may be a vehicle for the perceived social support, social capital, and social belonging that would normally be provided by in-person interaction (Best, Manktelow, & Taylor, 2014; Davis, 2012; Odgers & Jensen, 2020; Yau & Reich, 2017).”
BackgroundInfluentialWe Know Even More Things: A Decade Review of Parenting Research
Morris, A. S., Ratliff, E. L., Cosgrove, K. T., & Steinberg, L. D. (2021) · Journal of Research on Adolescence · doi:10.1111/jora.12641 · Cited by 91 · see citing works
Nesi, J., Rothenberg, W. A., Bettis, A. H., Massing-Schaffer, M., Fox, K. A., Telzer, E. H., Lindquist, K. A., & Prinstein, M. J. (2022) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2021.1955370 · Cited by 82 · see citing works
“Further, given a lack of prior longitudinal studies, there is a need to disentangle directionality in the association between depressive symptoms and social media use (Odgers & Jensen, 2020).”
BackgroundSvensson, R., Johnson, B., & Olsson, A. (2022) · BMC Public Health · doi:10.1186/s12889-022-12670-7 · Cited by 81 · see citing works
An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
Pavlopoulos, A., Rachiotis, T., & Maglogiannis, I. G. (2024) · Applied Sciences · doi:10.3390/app14199068 · Cited by 81 · see citing works
Orsolini, L., Pompili, S., Salvi, V., & Volpe, U. (2021) · Medicina · doi:10.3390/medicina57080793 · Cited by 85 · see citing works
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“Overall, there has been a slew of null or contradictory findings emerging from both large-scale observational research 12-14 and RCTs 16-19 examining the “absolute” effects of social media engagement/withdrawal on mental health.”
BackgroundAdolescent brain development and contextual influences: a decade in review
Galván, A. (2021) · Journal of Research on Adolescence · doi:10.1111/jora.12687 · Cited by 77 · see citing works
Positive and negative uses of social media among adolescents hospitalized for suicidal behavior.
Weinstein, E., Kleiman, E. M., Franz, P. J., Joyce, V. W., Nash, C. C., Buonopane, R. J., & Nock, M. K. (2021) · Journal of Adolescence · doi:10.1016/j.adolescence.2020.12.003 · Cited by 73 · see citing works
Social media mindsets: a new approach to understanding social media use and psychological well-being
Lee, A. Y., & Hancock, J. T. (2023) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmad048 · Cited by 82 · see citing works
Longa, L. D., Valori, I., & Farroni, T. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.795283 · Cited by 82 · see citing works
“Specifically, there is not yet a consensus about the impact of virtual communication on loneliness and psychological wellbeing (Orben and Przybylski, 2019; Odgers and Jensen, 2020).”
BackgroundAdolescent development and growing divides in the digital age
Odgers, C. L., & Jensen, M. R. (2020) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2020.22.2/codgers · Cited by 74 · see citing works
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Browne, D. T., May, S. S., Colucci, L., Pietra, P. H.-D., Christakis, D., Asamoah, T., Hale, L. E., Howlett, K. D., Emond, J. A., Fiks, A. G., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-046367 · Cited by 76 · see citing works
Stavropoulos, V., Motti-Stefanidi, F., & Griffiths, M. D. (2022) · European Psychologist · doi:10.1027/1016-9040/a000451 · Cited by 73 · see citing works
Adams, N. N. (2022) · International Journal of Social Research Methodology · doi:10.1080/13645579.2022.2111816 · Cited by 74 · see citing works
“…that human actors now live out many aspects of their lives online (Blackburn et al., 2005; Gibson et al., 2005; Scott et al., 2017), and that the amount of overall time human actors spend online is ever increasing as we move further into a digital age (Odgers & Jensen, 2020; Twenge & Farley, 2021).”
BackgroundScreen time in children and youth during the pandemic: A systematic review and meta-analysis
Choi, E. J., King, G. K. C., & Duerden, E. G. (2023) · Global Pediatrics · doi:10.1016/j.gpeds.2023.100080 · Cited by 76 · see citing works
Social media use in adolescents with and without mental health conditions
Fassi, L., Ferguson, A. M., Przybylski, A. K., Ford, T. J., & Orben, A. C. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02134-4 · Cited by 102 · see citing works
“However, the exact sample sizes for each comparison are reported in Supplementary Tables 5 and 6 and differ for each dimension of social media use, given that we planned to analyse those separately. https://doi.org/10.1038/s41562-025-02134-4 We expected such symptoms to be reflected in how social media is used by this…”
InfluentialNewson, M., Zhao, Y., Zein, M. E., Sulik, J., Dezecache, G., Deroy, O. D., & Tunçgenç, B. (2021) · New Media & Society · doi:10.1177/14614448211062164 · Cited by 76 · see citing works
“Although text-based contact, which is most common among young people (Odgers and Jensen, 2020), produces the weakest connections, connectivity, and interaction quality through this mode can be increased with cues such as emoticons (for reviews, see Bai et al., 2019; Tang and Hew, 2019).”
BackgroundAdolescence Amid a Pandemic: Short‐ and Long‐Term Implications
Hussong, A. M., Benner, A. D., Erdem, G., Lansford, J. E., Makila, L. M., Petrie, R. C., & The SRA COVID‐19 Response Team (2021) · Journal of Research on Adolescence · doi:10.1111/jora.12671 · Cited by 67 · see citing works
“As prior studies show, the impact of social media on adolescent development likely depends both on the ways in which social media and screens are used and on youth vulnerabilities (Odgers & Jensen, 2020).”
Social Media Use and Depressive Symptoms During Early Adolescence
Nagata, J. M., Otmar, C. D., Shim, J., Balasubramanian, P., Cheng, C. M., Li, E. J., Al-Shoaibi, A. A. A., Shao, I. Y., Ganson, K. T., Testa, A., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.11704 · Cited by 71 · see citing works
Dynamics of adolescents’ smartphone use and well-being are positive but ephemeral
Marciano, L., Driver, C., Schulz, P. J., & Camerini, A.-L. (2022) · Scientific Reports · doi:10.1038/s41598-022-05291-y · Cited by 78 · see citing works
How social media affects teen mental health: a missing link
Orben, A., & Blakemore, S.-J. (2023) · Nature · doi:10.1038/d41586-023-00402-9 · Cited by 71 · see citing works
Tullett-Prado, D., Doley, J. R., Zarate, D., Gomez, R., & Stavropoulos, V. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-04985-5 · Cited by 77 · see citing works
“Commentary: an updated agenda for the study of digital media use and adolescent development – future directions following Odgers & Jensen (2020).”
BackgroundLee, A. Y., & Hancock, J. T. (2023) · Computers and Education Open · doi:10.1016/j.caeo.2023.100144 · Cited by 70 · see citing works
Boer, M., Stevens, G. W. J. M., Finkenauer, C., & van den Eijnden, R. J. J. M. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107084 · Cited by 65 · see citing works
Online media consumption and depression in young people: A systematic review and meta-analysis
Shin, M., Juventin, M., Chu, J. T. W., Manor, Y. D., & Kemps, E. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107129 · Cited by 65 · see citing works
Wei, D., Chan, L. S., Du, N., Hu, X., & Huang, Y. (2024) · Addictive Behaviors · doi:10.1016/j.addbeh.2024.108044 · Cited by 76 · see citing works
McNamee, P., Mendolia, S., & Yerokhin, O. (2021) · Economics & Human Biology · doi:10.1016/j.ehb.2021.100992 · Cited by 62 · see citing works
Hilty, D. M., Stubbe, D. E., McKean, A. J. S., Hoffman, P. E., Zalpuri, I., Myint, M. T., Joshi, S. V., Pakyürek, M., & Li, S. T. (2023) · BJPsych Open · doi:10.1192/bjo.2023.523 · Cited by 80 · see citing works
Adolescents’ real-time social and affective experiences of online and face-to-face interactions
Achterhof, R., Kirtley, O. J., Schneider, M., Hagemann, N., Hermans, K. S. F. M., Hiekkaranta, A. P., Lecei, A., Lafit, G., & Myin-Germeys, I. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107159 · Cited by 62 · see citing works
Dekkers, T. J., & van Hoorn, J. (2022) · Brain Sciences · doi:10.3390/brainsci12121625 · Cited by 76 · see citing works
Sutcliffe, K., Ball, J., Clark, T. C., Archer, D. J., Peiris-John, R. J., Crengle, S. M., & Fleming, T. M. (2022) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/00048674221138503 · Cited by 63 · see citing works
“Although the association between social media use and distress among individuals is not strong (Cook et al., 2021; Odgers and Jensen, 2020), the impact of new technologies may have important population effects.”
BackgroundKostyrka‐Allchorne, K., Stoilova, M., Bourgaize, J., Rahali, M., Livingstone, S., & Sonuga-Barke, E. J. S. (2022) · Child and Adolescent Mental Health · doi:10.1111/camh.12619 · Cited by 60 · see citing works
“These benefits, risks and opportunities of the digital world for mental health are generally supported by recent reviews (Hollis et al., 2017; Odgers & Jensen, 2020; Orben, 2020).”
Adolescent user behaviors on short video application, cognitive functioning and academic performance
Xu, Z., Gao, X., Wei, J., Liu, H., & Zhang, Y. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104865 · Cited by 78 · see citing works
Irmer, A., & Schmiedek, F. (2023) · Communications Psychology · doi:10.1038/s44271-023-00013-0 · Cited by 58 · see citing works
“Aiming to draw valid conclusions from the rapidly growing number of empirical studies, several reviews and meta-analyses have been conducted 4 – 7 .”
Ghai, S., Fassi, L., Awadh, F., & Orben, A. (2023) · Clinical Psychological Science · doi:10.1177/21677026221114859 · Cited by 55 · see citing works
Everyone Does It—Differently: A Window into Emerging Adults’ Smartphone Use
Griffioen, N., Scholten, H., Lichtwarck-Aschoff, A., van Rooij, M., & Granic, I. (2021) · Humanities and Social Sciences Communications · doi:10.1057/s41599-021-00863-1 · Cited by 51 · see citing works
Weinstein, M., Jensen, M. R., & Tynes, B. M. (2021) · Cultural Diversity & Ethnic Minority Psychology · doi:10.1037/cdp0000436 · Cited by 53 · see citing works
Self-citationKhetawat, D., & Steele, R. G. (2023) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-023-00440-9 · Cited by 64 · see citing works
“This can include the type of psychological indicator (Hancock et al., 2019), quality of employed measures (Nesi, 2020), motivations for SMU (Keles et al., 2020), social support (Valkenburg et al., 2022), pre-existing psychological vulnerabilities (Beyens et al., 2016), and patterns of use (active vs. passive SMU; Odge…”
BackgroundMaheux, A. J., Roberts, S. R., Nesi, J., Widman, L., & Choukas‐Bradley, S. (2022) · Journal of Adolescence · doi:10.1002/jad.12009 · Cited by 52 · see citing works
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Charmaraman, L., Lynch, A. D., Richer, A. M., & Grossman, J. M. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107053 · Cited by 49 · see citing works
- Authors
- Odgers, C. L., & Jensen, M. R.
- Affiliations
- University of California, Irvine (US)
- University of North Carolina at Greensboro (US)
- Corresponding author
- Odgers, Candice L.
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2020-01-17
- Volume
- 61
- Issue
- 3
- Pages
- 336-348
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- PMC
- PMC8221420
- OpenAlex
- W2998834126
- Semantic Scholar
- be7e27521d0edc1c40664eddbc870ed87f47b458
- Cited by
- 1,189
- References
- 75
- Citations by year
- 2026: 375 · 2025: 226 · 2024: 184 · 2023: 134 · 2022: 133 · 2021: 93 · 2020: 40 · 2014: 2
- FWCI
- 17.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Child Psychology and Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Canadian Institute for Advanced Research (CBD Program)
- Jacobs Foundation (JF Fellow)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- adolescent mental health, digital technology use, social media, mobile devices, depression, anxiety, well-being, causal inference, ecological momentary assessment, internet access
- MeSH terms
- Screen Time, Digital Technology, Internet Use, Adolescent, Adolescent Behavior, Mental Disorders, Humans, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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