Longitudinal association between social media use and psychological distress among adolescents
Open accessAbstract
This study aimed to examine in a longitudinal cohort design whether social media use among adolescents is related to symptoms of social anxiety, depressed mood, and physical symptoms of anxiety over time.
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Claims the paper makes
6 of 28 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Peer experiences are prospectively associated with mental health symptoms.
“Peer experiences are prospectively associated with mental health symptoms (Landstedt and Almquist 2019; Modin et al. 2011); thus, understanding whether social media plays a role in adolescent mental health is important.”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
The simultaneous increase in social media use and worsening self-reported adolescent mental health has motivated research on their relationship.
“The simultaneous increase in social media use and worsening self-reported mental health among adolescents has motivated researchers to investigate the relationship between social media use and adolescent mental health (Heffer et al. 2019; Jensen et al. 2019; Keles et al. 2019; McCrae et al. 2017; Orben and Przybylski 2019; Riehm et al. 2019; Seabrook et al. 2016; Twenge et al. 2018).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Heffer et al. 2019 source
- cites Jensen et al. 2019 source
The Introduction links widespread digital-technology adoption and rising mental-health problems among young people to the need for rigorous research. It does not specifically establish an increase in social media use or describe the worsening mental-health measures as self-reported; those details are more specific than the passage supports. The copy provides no page number for this passage. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Keles et al. 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
After adjustment for time and covariates, greater time spent on social media was significantly associated with higher depressed mood (FE = 0.04, SE = 0.01, p = 0.002).
“After controlling for time and other covariates, time spent on social media was significantly positively associated with depressed mood (FE = 0.04, SE = 0.01, p = 0.002), physical symptoms of anxiety (FE = 0.04, SE = 0.01, p = 0.001) and symptoms of social anxiety (FE = 0.05, SE = 0.01, p < 0.001).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
Symptoms increased across data collection waves 1, 2, and 3 after accounting for other variables.
“A significant main effect of time indicates that symptoms increase between data collection waves 1, 2 and 3, after taking into account other variables.”
Quote in the paperNot a substantial claim - Findingown data
There was a significant interaction between time and time spent on social media on symptoms of depressed mood (FE = 0.02, SE = 0.01, p < 0.001).
“There was a significant interaction between time and time spent on social media on symptoms of depressed mood (FE = 0.02, SE = 0.01, p < 0.001) and physical symptoms of anxiety (FE = 0.01, SE = 0.005, p = 0.002), but not on symptoms of social anxiety.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
There was a significant interaction between time spent on social media and gender for symptoms of social anxiety (FE = -0.05, SE = 0.01, p < 0.001).
“There was a significant interaction between time spent on social media and gender for symptoms of depressed mood (FE = 0.05, SE = 0.01, p < 0.001), symptoms of social anxiety (FE = -0.05, SE = 0.01, p < 0.001) and physical symptoms of anxiety (FE = -0.05, SE = 0.01, p < 0.001).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
After adjustment for time and covariates, greater time spent on social media was significantly associated with higher physical symptoms of anxiety (FE = 0.04, SE = 0.01, p = 0.001).
“After controlling for time and other covariates, time spent on social media was significantly positively associated with depressed mood (FE = 0.04, SE = 0.01, p = 0.002), physical symptoms of anxiety (FE = 0.04, SE = 0.01, p = 0.001) and symptoms of social anxiety (FE = 0.05, SE = 0.01, p < 0.001).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
There was no significant interaction between time and time spent on social media on symptoms of social anxiety.
“There was a significant interaction between time and time spent on social media on symptoms of depressed mood (FE = 0.02, SE = 0.01, p < 0.001) and physical symptoms of anxiety (FE = 0.01, SE = 0.005, p = 0.002), but not on symptoms of social anxiety.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
After adjustment for time and covariates, greater time spent on social media was significantly associated with higher symptoms of social anxiety (FE = 0.05, SE = 0.01, p < 0.001).
“After controlling for time and other covariates, time spent on social media was significantly positively associated with depressed mood (FE = 0.04, SE = 0.01, p = 0.002), physical symptoms of anxiety (FE = 0.04, SE = 0.01, p = 0.001) and symptoms of social anxiety (FE = 0.05, SE = 0.01, p < 0.001).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
Girls in the study reported more psychological distress than boys.
“Girls in our study reported more psychological distress than boys; the relationship between social media use and all three outcomes was significantly stronger for girls compared to boys, although the interaction effect is very weak and may not be of clinical importance.”
Quote in the paperNot a substantial claim - Findingown data
There was a significant interaction between time and time spent on social media on physical symptoms of anxiety (FE = 0.01, SE = 0.005, p = 0.002).
“There was a significant interaction between time and time spent on social media on symptoms of depressed mood (FE = 0.02, SE = 0.01, p < 0.001) and physical symptoms of anxiety (FE = 0.01, SE = 0.005, p = 0.002), but not on symptoms of social anxiety.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
There was a significant interaction between time spent on social media and gender for symptoms of depressed mood (FE = 0.05, SE = 0.01, p < 0.001).
“There was a significant interaction between time spent on social media and gender for symptoms of depressed mood (FE = 0.05, SE = 0.01, p < 0.001), symptoms of social anxiety (FE = -0.05, SE = 0.01, p < 0.001) and physical symptoms of anxiety (FE = -0.05, SE = 0.01, p < 0.001).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Findingown data
There was a significant interaction between time spent on social media and gender for physical symptoms of anxiety (FE = -0.05, SE = 0.01, p < 0.001).
“There was a significant interaction between time spent on social media and gender for symptoms of depressed mood (FE = 0.05, SE = 0.01, p < 0.001), symptoms of social anxiety (FE = -0.05, SE = 0.01, p < 0.001) and physical symptoms of anxiety (FE = -0.05, SE = 0.01, p < 0.001).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Premisecitation
Children from single-parent households have more daily screen time.
“as well as children from single-parent households having more screen time daily (Wartella et al. 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wartella et al. 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The relationship between time spent on social media and all psychological distress outcomes was stronger for girls than boys.
“The relationship between time spent on social media and all outcomes of psychological distress were stronger for girls than boys and increased social media use had a positive relationship with symptoms of depressed mood over time.”
Quote in the paperSubstantial claim - Interpretationown data
The relationships found in this study were relatively small.
“The relationships found in this study were relatively small and future studies need to focus on the clinical and public health significance of these effects.”
Quote in the paperSubstantial claim - Premisecitation
Linear mixed-effects models are valid when data are missing at random.
“These models are designed to model correlations among observations on subjects (over time and/or within groups), and they are valid in the presence of missing at random data (Verbeke and Molenberghs 2000, p. 568).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Verbeke and Molenberghs 2000
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The significant social media by time interaction indicates that the impact of social media increases as participants grow older.
“The significant social media by time interaction suggests that the impact of social media increases as participants grow older.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Interpretationown data
The relationship between social media and symptoms of depressed mood and physical anxiety increases as participants grow older.
“Our findings suggest that the relationship between social media and symptoms of depressed mood and physical symptoms of anxiety increases as participants grow older.”
Quote in the paperSubstantial claim - Interpretationown data
The relationship between social media use and symptoms of depressed mood, social anxiety, and physical anxiety is stronger for girls than boys.
“The gender by time spent on social media interaction suggests that the relationship between social media and symptoms of depressed mood, symptoms of social anxiety, and physical symptoms of anxiety is stronger for girls than boys.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
- Study design and conductcitation
The social anxiety MASC scale has demonstrated good reliability and validity in a sample of Icelandic adolescents.
“The scale has demonstrated good reliability and validity in a sample of Icelandic adolescents (Olason et al. 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Olason et al. 2004 source
- Interpretationown data
The effect sizes of the relationships between social media time and psychological distress suggest they may not be clinically relevant.
“However, the effect size of these relationships suggest they may not be of clinical relevance.”
Quote in the paperSubstantial claim - Premisereasoning
The few longitudinal studies on this topic have reported mixed findings.
“The few longitudinal studies on the topic have reported mixed findings.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 29
- May combine two claims. 23
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe study did not test possible pathways between social media use and mental health such as cyberbullying, sleep, body image, or self-esteem.
“Third, we did not test for possible pathways between social media use and mental health such as cyberbullying, sleep, body image or self-esteem (Kelly et al. 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kelly et al. 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDivorce and family disruptions have deleterious impacts on children and adolescents.
“because of the compelling evidence showing the deleterious impact of divorce and family disruptions on children and adolescents (Amato 2000; Behere et al. 2017)”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationThere 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).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Odgers and Jensen 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe role of gender in the social media and mental health relationship has been inconclusive.
“The role of gender in social media and mental health relationship has also been inconclusive (McCrae et al. 2017).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites McCrae et al. 2017 source
May combine two claims.
Findingown dataDepressed mood, social anxiety, physical anxiety, and time spent on social media all increased across the three waves, while parental support decreased.
“Symptoms of depressed mood, symptoms of social anxiety, physical symptoms of anxiety, and time spent on social media increased over the three waves of the study, and parental support decreased.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor all three psychological distress outcomes, symptoms were lowest among adolescents reporting greater parental support, living with both parents, and male gender.
“For all three psychological distress outcome variables, symptoms were lowest for those who reported greater parental support, living with both parents and of male gender.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataIn the end-point OLS sensitivity analysis, R-squared values were 0.299 for depressed mood, 0.326 for physical anxiety, and 0.374 for social anxiety.
“The sensitivity analysis for the end-point OLS regression R-squared values for symptoms of depressed mood, symptoms of physical anxiety, and social anxiety symptoms were 0.299, 0.326, and 0.374, respectively.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataVarious covariance models were compared using Akaike's Information Criterion, and the best-fitting structure included an unstructured covariance matrix.
“Various covariance models were compared using Akaike's Information Criterion to determine the best fit to the data (Gurka 2006), taking into account correlations between observations over time. The best-fitting structure included unstructured covariance matrix.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gurka 2006 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe single social media time question is comparable with similar measures used in other studies of adolescent social media time.
“This scale is comparable with similar measures in other studies examining how much time adolescents spend on social media (Twenge et al. 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Twenge et al. 2018 source
May combine two claims.
Interpretationown dataThe study data show a positive relationship between social media use and increased psychological distress, although the effects were weak to small.
“our data show is positively related to increased levels of psychological distress, although the effects were weak to small.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataNo participants withdrew from the study, and those lost at follow-up were students not present in school on the survey day.
“No one withdrew from the study, and those lost at follow up are students that were not present in school on the day of the survey.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOne longitudinal study found that social media use did not predict later depressive symptoms, but greater depressive symptoms predicted more frequent social media use.
“Recent studies have begun to do so with one longitudinal study finding that social media use did not predict later depressive symptoms, but rather that greater depressive symptoms predicted more frequent social media use (Heffer et al. 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Heffer et al. 2019 source
May combine two claims.
PremisecitationAdolescent social media use has been associated with less family time and more conflicts with parents.
“adolescent social media use has been associated with less family time and more conflicts with parents (Williams and Merten 2011)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Williams and Merten 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is no clear consensus in the literature on whether social media is related to well-being.
“To date there is no clear consensus in the literature on whether or not there is a relationship between social media and well-being (Orben et al. 2019; Orben and Przybylski 2019; Twenge 2019; Twenge and Campbell 2019).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Orben et al. 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Orben and Przybylski 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Twenge 2019
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).
Study design and conductown dataThe study did not test for the directionality of effects.
“Finally, we did not test for the directionality of effects.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe questionnaires had high reliability and included validated measures of different anxiety types over three years.
“Finally, the questionnaires were empirically supported with high reliability and we included validated measures on different types of anxiety over three years, the first study to do so.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe effect of social media on psychological distress is most likely multifactorial.
“However, the effect of social media on psychological distress is most likely multifactorial and a better understanding of the mechanisms involved is required before we can warrant major concerns about the longitudinal impact of social media on adolescent mental health.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSelf-report measures might not accurately reflect adolescents' time spent on social media.
“Self-report measures might not accurately reflect the time that adolescents spend on social media and this area of inquiry would benefit from designing multi-report studies that include ecological momentary assessment as well as reporting from parents.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIdentical linear mixed models were run on standardized dependent and independent variables to produce standardized parameter estimates.
“Additionally, identical linear mixed models were conducted on the standardized dependent and independent variables to produce standardized parameter estimates for the model.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe Perceived Parental Support Scale has been validated in a multi-country sample and shown good internal consistency and convergent validity.
“The scale has been validated in a multi-country sample and shown good internal consistency and convergent validity (Kristjansson et al. 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kristjansson et al. 2011 source
May combine two claims.
Study design and conductcitationThe depression dimension scale of the Original Symptom Checklist demonstrates good internal consistency and test-retest reliability.
“The scale demonstrates good internal consistency and test-retest reliability (Derogatis and Unger 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Derogatis and Unger 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationAccurate model parameter estimation was supported by using residual maximum likelihood with the Kenward and Roger 1997 approximation of degrees of freedom.
“Accurate model parameter estimations were ensured by use of the residual maximum likelihood approach with the Kenward and Roger, 1997 approximation of degrees of freedom.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kenward and Roger, 1997 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe transformation framework proposes that social media's unique context fundamentally transforms adolescents' peer experiences across multiple domains.
“The transformation framework (Nesi et al. 2018a, 2018b) proposes that the unique context of social media fundamentally transforms adolescents' peer experiences across multiple domains.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nesi et al. 2018a, 2018b
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). May combine two claims.
Study design and conductown dataIn this sample, Cronbach's alpha for social anxiety was 0.896 at T1, 0.915 at T2, and 0.920 at T3.
“In this sample, Cronbach's alpha was 0.896 (T1), 0.915 (T2), and 0.920 (T3).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataA sensitivity analysis using OLS regression end-point analysis was conducted to determine model effect sizes.
“Sensitivity analysis was conducted using OLS regression end-point analysis to determine model effect sizes (R-square values).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe gender interaction effect is very weak and may not be clinically important.
“Girls in our study reported more psychological distress than boys; the relationship between social media use and all three outcomes was significantly stronger for girls compared to boys, although the interaction effect is very weak and may not be of clinical importance.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe study used a within-person approach to examine the relationship between social media and psychological distress in a birth cohort over three time points.
“We used a within-person approach to examine the relationship between social media and symptoms of psychological distress among a birth cohort over three time points.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationThe physical symptoms MASC scale has demonstrated good reliability and validity in a sample of Icelandic adolescents.
“The scale has demonstrated good reliability and validity in a sample of Icelandic adolescents (Olason et al. 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Olason et al. 2004 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataIn this sample, Cronbach's alpha for depressed mood was 0.900 at T1, 0.906 at T2, and 0.920 at T3.
“In this sample, Cronbach's alpha was 0.900 (T1), 0.906 (T2), and 0.920 (T3).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMissing values within individual variables ranged from 1.7% to 5.8% and were handled with pairwise deletion unless otherwise specified.
“Missing values within individual variables ranged from 1.7% to 5.8% and are treated with pairwise deletion unless otherwise specified.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenThe study had a large sample and high participant retention across all three time points.
“Our study also benefited from a large sample and high participant retention across each of the three time points.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA recent cross-sectional study of Icelandic adolescents found passive social media use positively associated with emotional distress, while active use was not related to emotional distress.
“A recent cross-sectional study of Icelandic adolescents found that using social media passively was positively associated with symptoms of emotional distress, while active social media use did not relate to emotional distress (Thorisdottir et al. 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Thorisdottir et al. 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn this sample, Cronbach's alpha for parental support was 0.821 at T1, 0.872 at T2, and 0.899 at T3.
“In this sample, Cronbach's alpha was 0.821 (T1), 0.872 (T2), and 0.899 (T3).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataIn this sample, Cronbach's alpha for physical symptoms was 0.886 at T1, 0.912 at T2, and 0.919 at T3.
“In this sample, Cronbach's alpha was 0.886 (T1), 0.912 (T2), and 0.919 (T3).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnxiety is highly prevalent among girls in Western economies.
“given the high prevalence of anxiety among girls in Western economies (Bor et al. 2014)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bor et al. 2014 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataDistributional properties were assessed, and skew and kurtosis were around the common threshold of 1.0 or less in all instances except the PPS scale, where skew was 1.6 and kurtosis 3.0.
“Distributional properties were assessed for the scale variables, and skew and kurtosis determined to be around the common threshold of 1.0 or less in all instances, except the PPS scale where skew was 1.6 and kurtosis 3.0.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataSocial media use was treated as a continuous variable rather than as categories of high versus low use, reducing comparability with some other studies.
“Second, social media use was treated as a continuous variable instead of looking at different categories of high versus low social media use, thus diminishing comparability with some other studies.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Time spent on social media has similar effects across the spectrum of social media use.
May combine two claims.
Interpretationown dataThe relationship between time spent on social media and symptoms of depressed mood and physical anxiety grew stronger over time, though causality is unknown.
“The relationship between time spent on social media and symptoms of depressed mood and physical symptoms of anxiety grew stronger over time, although it is not known if this relationship is causal.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataAverage social media use was measured with a single question, and different platforms or types of use were not measured.
“First, we used a single question to examine average social media use and did not include measures on different platforms or different types of social media use, such as active or passive use, which along with time spent on social media, has been shown to be significantly associated with increased psychological distress (Thorisdottir et al. 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Thorisdottir et al. 2019 source
Classified as probably not a substantial claim.
PremisereasoningThe nature of the relationship between social media use and psychological distress is not clear.
“However, the nature of the relationship between social media use and psychological distress is not clear.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Time spent on social media has similar effects across the spectrum of social media use.
“The former approach assumes similar effects of time across the spectrum of social media use, while the latter endorses that only heavy use has an impact on psychological distress.”
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?
Results from studies with shorter follow-up periods and younger samples suggest that the impact of social media on mental health may be stronger earlier in adolescence, potentially decreasing as individuals grow older.
“For instance, results from studies with shorter follow-up periods and younger samples [17,18] suggest that the impact of social media on mental health may have a stronger influence earlier in adolescence, potentially decreasing as individuals grow older.”
From Long-Term Consequences of Time Spent on Social Media in Adolescence on Mental Health in Young Adulthood: A Cohort Study From Sweden. (2026) · cites this paper as [17]
The Results (Hypothesis 2; page unavailable) state the opposite age trend: the association of social media use with depressed mood and physical anxiety grew stronger as participants got older, not weaker. The paper found no comparable time interaction for social anxiety and does not establish a causal impact. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredOther studies have reported prospective associations between social media use and mental health problems.
“However, other studies have reported prospective associations between social media use and mental health problems [17–19].”
From Long-Term Consequences of Time Spent on Social Media in Adolescence on Mental Health in Young Adulthood: A Cohort Study From Sweden. (2026) · cites this paper as [17]
Cites
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552 · see citing works
Linear Mixed Models for Longitudinal Data
Verbeke, G. (1997) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2294-1_3 · Cited by 3,506 · see citing works
An effect size primer: A guide for clinicians and researchers.
Ferguson, C. J. (2009) · Professional Psychology: Research and Practice · doi:10.1037/a0015808 · Cited by 3,467 · see citing works
The Consequences of Divorce for Adults and Children
Amato, P. R. (2000) · Journal of Marriage and Family · doi:10.1111/j.1741-3737.2000.01269.x · Cited by 2,931 · see citing works
Linear Mixed Models for Longitudinal Data
Molenberghs, G., & Verbeke, G. N. (2000) · Springer series in statistics · doi:10.1007/978-1-4419-0300-6 · Cited by 2,681 · see citing works
Keles, B., McCrae, N., & Grealish, A. (2020) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1590851 · Cited by 1,909 · see citing works
Odgers, C. L., & Jensen, M. R. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13190 · Cited by 1,189 · cited 1× · see citing works
“focused on young children or adults (Odgers and Jensen, 2020).”
The Corsini encyclopedia of psychology
(2010) · Choice Reviews Online · doi:10.5860/choice.47-6008 · Cited by 1,082 · see citing works
No More FOMO: Limiting Social Media Decreases Loneliness and Depression
Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2018.37.10.751 · Cited by 947 · see citing works
(2018) · Cited by 900 · see citing works
Are child and adolescent mental health problems increasing in the 21st century? A systematic review
Bor, W., Dean, A. J., Najman, J., & Hayatbakhsh, R. (2014) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867414533834 · Cited by 853 · see citing works
Social Networking Sites, Depression, and Anxiety: A Systematic Review
Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016) · JMIR Mental Health · doi:10.2196/mental.5842 · Cited by 763 · cited 3× · see citing works
“In conclusion, although adolescent use of social media appears to confer some benefits (Anderson and Jiang, 2018; Seabrook et al., 2016; Thorisdottir et al., 2019), it is also a relatively new and prevalent factor in the lives of adolescents that our data show is positively related to increased levels of psychological…”
BackgroundTwenge, J. M., Martin, G. N., & Campbell, W. K. (2018) · Emotion · doi:10.1037/emo0000403 · Cited by 750 · see citing works
Social media use and adolescent mental health: Findings from the UK Millennium Cohort Study
Kelly, Y., Zilanawala, A., Booker, C., & Sacker, A. (2018) · EClinicalMedicine · doi:10.1016/j.eclinm.2018.12.005 · Cited by 740 · see citing works
Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-018-0261-x · Cited by 712 · see citing works
Does time spent using social media impact mental health?: An eight year longitudinal study
Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106160 · Cited by 701 · see citing works
Riehm, K. E., Feder, K. A., Tormohlen, K. N., Crum, R. M., Young, A. S., Green, K. M., Pacek, L. R., La Flair, L. N., & Mojtabai, R. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.2325 · Cited by 511 · cited 5× · see citing works
“Consistent with some previous work (Boers et al., 2019; Riehm et al., 2019; Vannucci and McCauley Ohannessian, 2019), we found a relationship between time spent on social media and symptoms of psychological distress, although in our study this relationship was negligible.”
BackgroundResultInfluentialDerogatis, L. R., & Unger, R. (2010) · The Corsini Encyclopedia of Psychology · doi:10.1002/9780470479216.corpsy0970 · Cited by 488 · see citing works
Social media’s enduring effect on adolescent life satisfaction
Orben, A., Dienlin, T., & Przybylski, A. K. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902058116 · Cited by 485 · see citing works
Association of screen time and depression in adolescence
Boers, E., Afzali, M. H., Newton, N., & Conrod, P. (2019) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2019.1759 · Cited by 481 · see citing works
Time spent on social network sites and psychological well-being: a meta-analysis
Huang, C. (2017) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0758 · Cited by 457 · see citing works
Social isolation, psychological health, and protective factors in adolescence.
Hall‐Lande, J., Eisenberg, M. E., Christenson, S. L., & Neumark‐Sztainer, D. (2007) · PubMed · Cited by 453 · see citing works
Media Use Is Linked to Lower Psychological Well-Being: Evidence from Three Datasets
Twenge, J. M., & Campbell, W. K. (2019) · Psychiatric Quarterly · doi:10.1007/s11126-019-09630-7 · Cited by 429 · see citing works
Screens, Teens, and Psychological Well-Being: Evidence From Three Time-Use-Diary Studies
Orben, A., & Przybylski, A. K. (2019) · Psychological Science · doi:10.1177/0956797619830329 · Cited by 414 · see citing works
Thorisdottir, I. E., Sigurvinsdottir, R., Asgeirsdottir, B. B., Allegrante, J. P., & Sigfusdottir, I. D. (2019) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2019.0079 · Cited by 347 · see citing works
Self-citationTwenge, J. M. (2019) · Current Directions in Psychological Science · doi:10.1177/0963721419838244 · Cited by 339 · see citing works
Social Media and Depressive Symptoms in Childhood and Adolescence: A Systematic Review
McCrae, N., Gettings, S., & Purssell, E. (2017) · Adolescent Research Review · doi:10.1007/s40894-017-0053-4 · Cited by 304 · see citing works
Heffer, T., Good, M., Daly, O., MacDonell, E., & Willoughby, T. (2019) · Clinical Psychological Science · doi:10.1177/2167702618812727 · Cited by 278 · cited 4× · see citing works
“, 2019), such as anxiety and depression (Boers et al., 2019; Coyne et al., 2020; Heffer et al., 2019; Vannucci and McCauley Ohannessian, 2019).”
BackgroundInfluentialBooker, C. L., Kelly, Y. J., & Sacker, A. (2018) · BMC Public Health · doi:10.1186/s12889-018-5220-4 · Cited by 268 · see citing works
Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-018-0262-9 · Cited by 266 · see citing works
Jensen, M., George, M. J., Russell, M. R., & Odgers, C. L. (2019) · Clinical Psychological Science · doi:10.1177/2167702619859336 · Cited by 242 · cited 9× · see citing works
“However, others have found that frequency of social media use does not predict later mental health outcomes (Coyne et al., 2020; Jensen et al., 2019).”
BackgroundInfluentialStadler, C., Feifel, J., Rohrmann, S., Vermeiren, R. R. J. M., & Poustka, F. (2010) · Child Psychiatry & Human Development · doi:10.1007/s10578-010-0174-5 · Cited by 212 · see citing works
Social Media Use Subgroups Differentially Predict Psychosocial Well-Being During Early Adolescence
Vannucci, A., & Ohannessian, C. M. (2019) · Journal of Youth and Adolescence · doi:10.1007/s10964-019-01060-9 · Cited by 205 · see citing works
Selecting the Best Linear Mixed Model Under REML
Gurka, M. J. (2006) · The American Statistician · doi:10.1198/000313006x90396 · Cited by 200 · see citing works
Effects of Family Structure on Mental Health of Children: A Preliminary Study
Behere, A. P., Basnet, P., & Campbell, P. (2017) · Indian Journal of Psychological Medicine · doi:10.4103/0253-7176.211767 · Cited by 147 · cited 1× · see citing works
“children and adolescents (Amato, 2000; Behere et al., 2017), we controlled for parental”
BackgroundiFamily: Internet and Social Media Technology in the Family Context
Williams, A. L., & Merten, M. J. (2011) · Family and Consumer Sciences Research Journal · doi:10.1111/j.1552-3934.2011.02101.x · Cited by 128 · see citing works
Derogatis, L. R. (2011) · PsycTESTS Dataset · doi:10.1037/t01210-000 · Cited by 121 · see citing works
The interplay between digital media use and development
Gerwin, R. L., Kaliebe, K., & Daigle, M. (2018) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2017.11.002 · Cited by 100 · see citing works
Modin, B., Östberg, V., & Almquist, Y. (2011) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-010-9462-6 · Cited by 94 · cited 1× · see citing works
“mental health symptoms (Landstedt and Almquist, 2019; Modin et al., 2011); thus, understanding whether social media plays a role in adolescent mental health is important.”
BackgroundTHOR ÓLASON, D., BLÖNDAHL SIGHVATSSON, M., & SMÁRI, J. (2004) · Scandinavian Journal of Psychology · doi:10.1111/j.1467-9450.2004.00424.x · Cited by 71 · cited 6× · see citing works
“social anxiety scale from the Icelandic version of MASC (Olason et al., 2004).”
BackgroundMethodInfluentialStress and adolescent well-being: the need for an interdisciplinary framework
Sigfusdottir, I. D., Kristjansson, A. L., Thorlindsson, T., & Allegrante, J. P. (2016) · Health Promotion International · doi:10.1093/heapro/daw038 · Cited by 67 · see citing works
Self-citationInternet Use and Psychological Well-being among 10-year-old and 11-year-old Children
Devine, P., & Lloyd, K. (2011) · Child Care in Practice · doi:10.1080/13575279.2011.621888 · Cited by 61 · see citing works
Calancie, O. G., Ewing, L., Narducci, L. D., Horgan, S. A., & Khalid‐Khan, S. (2017) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2017-4-2 · Cited by 61 · see citing works
Frison, E., & Eggermont, S. (2016) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.08.008 · Cited by 39 · see citing works
Intergenerational patterns of mental health problems: the role of childhood peer status position
Landstedt, E., & Almquist, Y. B. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2278-1 · Cited by 28 · see citing works
Kristjansson, A. L., Sigfusdottir, I. D., Karlsson, T., & Allegrante, J. P. (2011) · Child Indicators Research · doi:10.1007/s12187-010-9095-x · Cited by 25 · see citing works
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Problematic Social Media Use and Its Relationship with Depression or Anxiety: A Systematic Review
Lopes, L. S., Valentini, J. P., Monteiro, T. H., Costacurta, M. C. D. F., Soares, L. O. N., Telfar-Barnard, L., & Nunes, P. V. (2022) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2021.0300 · Cited by 197 · see citing works
Chao, 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
McComb, C. A., Vanman, E. J., & Tobin, S. J. (2023) · Media Psychology · doi:10.1080/15213269.2023.2180647 · Cited by 167 · see citing works
“Conversely, other longitudinal studies have reported that social media use is negatively associated with mental wellbeing (McNamee et al., 2021; Thorisdottir et al., 2020).”
BackgroundChang, C.-W., Huang, R., Strong, C., Lin, Y.-C., Tsai, M., Chen, I., Lin, C., Pakpour, A. H., & Griffiths, M. D. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.858482 · Cited by 98 · 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
Mougharbel, F., Chaput, J., Sampasa‐Kanyinga, H., Hamilton, H. A., Colman, I., Leatherdale, S. T., & Goldfield, G. S. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1190390 · Cited by 64 · see citing works
Khetawat, D., & Steele, R. G. (2023) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-023-00440-9 · Cited by 64 · see citing works
Chen, Y., Liu, X., Chiu, D. T., Li, Y., Mi, B., Zhang, Y., Ma, L., & Yan, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19094937 · Cited by 55 · see citing works
Saleem, N., Young, P., & Yousuf, S. (2024) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2023.0456 · Cited by 63 · see citing works
The effect of social media use on mental health of college students during the pandemic
Fruehwirth, J. C., Weng, A. X., & Perreira, K. M. (2024) · Health Economics · doi:10.1002/hec.4871 · Cited by 37 · see citing works
Promoting blood donation through social media: Evidence from Brazil, India and the USA
Harrell, S., Simons, A. M., & Clasen, P. C. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.115485 · Cited by 28 · see citing works
Associations Between Social Media Use and Anxiety Among Adolescents: A Systematic Review Study
Kerr, B. R., Garimella, A., Pillarisetti, L., Charlly, N., Sullivan, K., & Moreno, M. A. (2024) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2024.09.003 · Cited by 46 · see citing works
Rifkin-Zybutz, R. P., Turner, N. L., Derges, J., Bould, H., Sedgewick, F., Gooberman‐Hill, R., Linton, M.-J., Moran, P., & Biddle, L. (2023) · JMIR Mental Health · doi:10.2196/44064 · Cited by 26 · see citing works
Tsilosani, A., Chan, K., Steffens, A., Bolton, T., & Kowalczyk, W. J. (2023) · Addictive Behaviors · doi:10.1016/j.addbeh.2023.107781 · Cited by 29 · see citing works
Yu, Y., Dykxhoorn, J. L., & Plackett, R. (2024) · Journal of Medical Internet Research · doi:10.2196/56950 · Cited by 25 · see citing works
Social Media and Adolescent Mental Health
Yue, Z., & Rich, M. (2023) · Current Pediatrics Reports · doi:10.1007/s40124-023-00298-z · Cited by 30 · see citing works
Griffith, D. A., Lee, H. S., & Yalcinkaya, G. (2022) · International Marketing Review · doi:10.1108/imr-07-2021-0214 · Cited by 21 · see citing works
Living in an online world: Social media experiences of adolescents and young adults with cancer
Reuman, H., Kerr, K., Sidani, J. E., Felker, J. T., Escobar-Viera, C. G., Shensa, A. S., & Maurer, S. H. (2022) · Pediatric Blood & Cancer · doi:10.1002/pbc.29666 · Cited by 18 · see citing works
Barry, C. T., & Kim, H. (2023) · Current Psychology · doi:10.1007/s12144-023-04434-2 · Cited by 17 · see citing works
Is Social Media Use Related to Social Anxiety? A Meta-Analysis
Nan, Y., Qin, J., Li, Z., Kim, N., Kim, S. S. Y., & Miller, L. C. (2024) · Mass Communication & Society · doi:10.1080/15205436.2024.2321533 · Cited by 15 · see citing works
Erhel, S., Drouard, J., Jacob, F., Lumeau, M., Suire, R., & Gonthier, C. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.108099 · Cited by 14 · see citing works
García‐Manglano, J., Fernández, A., Serrano, C., López-Madrigal, C., Fernández-Duval, G., Fernández-Pacheco, P. A. D. L. R., & Sádaba, C. (2024) · Journal of Social and Personal Relationships · doi:10.1177/02654075241230248 · Cited by 12 · see citing works
#KidsAnxiety and the Digital World
Glover, J., Ariefdjohan, M. W., & Fritsch, S. L. (2021) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2021.06.004 · Cited by 14 · see citing works
Gkinopoulos, T., Pagliaro, S., Pacilli, M. G., Bilewicz, M., Teresi, M., & Ballone, C. (2023) · European Journal of Social Psychology · doi:10.1002/ejsp.3002 · Cited by 12 · see citing works
Bidirectional Associations of Adolescents’ Momentary Social Media Use and Negative Emotions
Colasante, T., Faulkner, K., Kharbotli, D., Malti, T., & Hollenstein, T. (2024) · Affective Science · doi:10.1007/s42761-024-00244-2 · Cited by 14 · see citing works
Social Media Use and Well-Being Across Adolescent Development
Singh, B., Zhou, M., Curtis, R., Maher, C. A., & Dumuid, D. (2026) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2025.5619 · Cited by 15 · see citing works
Fiedler, R., Geber, J., Reichert, M., & Kellmann, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-77418-2 · Cited by 12 · see citing works
Dorrestein, M., Nutley, S. B., & Thorell, L. B. (2025) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-025-01491-5 · Cited by 18 · see citing works
Identifying protective and risk behavior patterns of online communication in young people
Lowthian, E., Fee, G., Wakeham, C., Clegg, Z., Crick, T., & Anthony, R. (2023) · Journal of Adolescence · doi:10.1002/jad.12270 · Cited by 11 · see citing works
Malas, O., Khan, M., Zubair, A., Guazzini, A., & Duradoni, M. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/7873343 · Cited by 11 · see citing works
Li, J., Lau, J. T. F., Feng, L.-F., Zhang, X., Li, J., Mai, J.-C., Yu-xia, C., & Mo, P. K. H. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.04.029 · Cited by 9 · see citing works
The Effect of Social Media Addiction on Psychological Stress: The Indirect Role of Doomscrolling
Canoğulları, Ö. (2025) · Kuramsal Eğitimbilim · doi:10.30831/akukeg.1586146 · Cited by 11 · see citing works
Qiu, R., Li, Y., Gong, Y., Guo, Z., Cheng, S., Li, M., & Zhu, X. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1592132 · Cited by 7 · see citing works
El impacto del uso prolongado de pantallas en el desarrollo cognitivo de los estudiantes
Tulcanaza, P. E. E., Guarnizo, T. C., Nieves, J. M. N., Taco, B. N. I., Veas, L. J. V., & Chicaiza, D. C. F. (2024) · South Florida Journal of Development · doi:10.46932/sfjdv5n12-086 · Cited by 7 · see citing works
Shen, C., Girela-Serrano, B. M., Di Simplicio, M., Spiers, A., Dumontheil, I., Thomas, M. S. C., Röösli, M., Elliott, P., Smith, R. B., & Toledano, M. B. (2026) · BMC Medicine · doi:10.1186/s12916-026-04667-5 · Cited by 6 · see citing works
Tsomokos, D. I. (2026) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-025-02999-w · Cited by 5 · see citing works
“…by the short Kessler scale—in late adolescence (age 17), and that the development of interpersonal distrust between the two timepoints (at age 14) mediated this association along with poorer sleep (later bedtimes) [22, 36] and negative self-perception of physical appearance [10, 33].”
Merlici, I.-A., Maftei, A., & Opariuc‐Dan, C. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2406252 · Cited by 11 · see citing works
Riesgos asociados al uso de las tecnologías en adolescentes: una revisión sistemática
Nadador-Moncayo, L., & Suricalday, Á. S. (2024) · Revista Latinoamericana de Ciencias Sociales Niñez y Juventud · doi:10.11600/rlcsnj.23.1.6692 · Cited by 6 · see citing works
Halsall, T., Mahmoud, K., Drabenstott, M., Orpana, H., Iyer, S. N., Kristjánsson, Á. L., & Matheson, K. (2025) · Discover Public Health · doi:10.1186/s12982-025-00443-7 · Cited by 3 · see citing works
Self-citationGugushvili, N., Masciantonio, A., Nitschinsk, L., Rozgonjuk, D., Täht, K., Kross, E. F., Ruiter, R. A. C., & Verduyn, P. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2531288 · Cited by 6 · see citing works
Zhang, Y. L., & Chao, M. (2025) · Addiction Research & Theory · doi:10.1080/16066359.2025.2517630 · Cited by 3 · see citing works
Emotional State and Social Media Experience: A Pandemic Case Study
Bitkina, O. V., & Park, J. (2021) · Sustainability · doi:10.3390/su132313311 · Cited by 3 · see citing works
[Measuring adolescents' use of social media: A systematic review].
Biscond, M., Revranche, M., & Husky, M. (2021) · L'Encephale · doi:10.1016/j.encep.2021.08.016 · Cited by 4 · see citing works
Huțul, T., Mațcu-Zaharia, M., Huțul, A., & Karner‐Huțuleac, A. (2025) · Psychological Reports · doi:10.1177/00332941241310983 · Cited by 4 · see citing works
Vijayakumar, N., Dashti, S. G., Canterford, L. D., Ellul, S., Parissi, A. J. A., Goddings, A., Viner, R., Moran, P., Borschmann, R., Mundy, L. K., et al. (2026) · The Medical Journal of Australia · doi:10.5694/mja2.70220 · Cited by 3 · see citing works
The Role of Threat, Meaning, and Religion in Political Grief
Harris, D. L. (2025) · Religions · doi:10.3390/rel16030321 · Cited by 2 · see citing works
Lu, Y., Zhang, R., & Dai, W. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1746285 · Cited by 3 · see citing works
Greenhow, C. M., Akhmedova, A., Sutcliffe, J., Fisher, M. H., & Sung, C. Y. Y. (2024) · Journal of Contemporary Issues in Education · doi:10.20355/jcie29602 · Cited by 2 · see citing works
Psychological education in higher education: Opportunities and challenges in the Internet+ era
Zhang, H., & Yu, Y. (2025) · World Journal of Psychiatry · doi:10.5498/wjp.v15.i5.103274 · Cited by 2 · see citing works
Brailovskaia, J., Brämig, S., Precht, L.-M., Frewer, A.-L., Lansu, A. M., Sathananthan, A., Schillack, H., & Margraf, J. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.100989 · Cited by 2 · see citing works
Halsall, T., Dixon, M., Shams, R., Khanna, N., Jan, M., Tayal, J., Holmgren, A., Mahmoud, K., Iyer, S. N., & Matheson, K. (2025) · International Journal of Qualitative Methods · doi:10.1177/16094069251328146 · Cited by 2 · see citing works
Social Media use is Associated with, but is not a Major Cause of Mental Disorder among Adolescents
Elhai, J. D., Demetrovics, Z., Casale, S., & Montag, C. (2026) · Current Addiction Reports · doi:10.1007/s40429-026-00769-5 · Cited by 3 · see citing works
Yang, X. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2026.2618548 · Cited by 2 · see citing works
Zhang, Y., & Yang, S. (2025) · European Journal of Education · doi:10.1111/ejed.70182 · Cited by 1 · see citing works
Tadpatrikar, A., Sharma, M. K., & Murthy, P. (2025) · Indian Journal of Psychiatry · doi:10.4103/indianjpsychiatry_409_25 · Cited by 1 · see citing works
Liang, M., Ho, G. W. K., & Christensen, M. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1396008 · Cited by 4 · see citing works
Hilpisch, C., Zentgraf, K., & Mutz, M. (2025) · International Journal of Sport and Exercise Psychology · doi:10.1080/1612197x.2025.2563317 · Cited by 1 · see citing works
Effects of problematic social media use on depressive symptoms
Blanquer-Cortés, M., Estévez, E., Estévez, J. F., & Irles, D. L. (2025) · Scientific Reports · doi:10.1038/s41598-025-29258-x · Cited by 1 · see citing works
A cross-Nordic Mapping of Associative Factors to the increase of Mental Distress Among Youth
(2022) · TemaNord · doi:10.6027/temanord2022-522 · Cited by 1 · see citing works
What happens when you are not on social networks? A survey among middle-school teens in Switzerland
Surı́s, J.-C., Stadelmann, S., Chok, L., & Barrense‐Dias, Y. (2023) · Archives de Pédiatrie · doi:10.1016/j.arcped.2023.03.002 · Cited by 1 · see citing works
Zetterqvist, M., Raninen, J., Gripe, I., Ramstedt, M., & Brunborg, G. S. (2026) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2026.04.019 · Cited by 2 · see citing works
Abdelwahed, N. A. A., & Ramish, M. S. (2025) · OBM Neurobiology · doi:10.21926/obm.neurobiol.2502288 · Cited by 1 · see citing works
Rahaman, N. H., & Saidi, L. A. (2024) · Asian Journal of Research in Education and Social Sciences · doi:10.55057/ajress.2024.6.1.49 · Cited by 1 · see citing works
Opiyo, R. A. (2026) · Policy Insights from the Behavioral and Brain Sciences · doi:10.1177/23727322261459600
`Mzabi, S. K., Ignarska, J., Piech, B., Judzińska, A., Sobczyńska, K., Terbosh, M., Trojanowska, E., Dubaj, M., Kwolek, M., & Osipowska, J. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.2(50).2026.5602
Pediatric Headache in the Age of Social Media: A Topical Review
Pickup, E., Takle, M., & Langdon, R. (2026) · Current Pain and Headache Reports · doi:10.1007/s11916-026-01515-2
Impact of Social Media on Mental Health with Reference to Fear of Missing Out
Mishra, D. (2025) · Synthesis lectures on engineers, technology, and society · doi:10.1007/978-3-031-95619-5_9
Tian, Q. (2026) · Frontiers in Humanities and Social Sciences · doi:10.54691/ac8ntd63
Morán-Pallero, N., Castaño, E. F., Delgado, M. G., & Rojas-Valverde, M. (2026) · Behavioral Sciences · doi:10.3390/bs16040619
Pryde, S., Kemps, E., & Prichard, I. J. (2026) · Body Image · doi:10.1016/j.bodyim.2026.102092 · Cited by 1 · see citing works
Xu, W., Huang, Y., Su, C., Zhou, Z., Wang, S., Ye, H., Xu, Y., 王艳丽, Liu, K., Chen, J., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1785472 · Cited by 1 · see citing works
Sola tweetura: Digital Fundamentalism and the Virtual Scriptures
Kambo, K. M. (2025) · Philosophy & Technology · doi:10.1007/s13347-025-00873-w
Sun, W., Ge, R., Liu, Y., & Zhang, Y. (2026) · BMC Psychology · doi:10.1186/s40359-026-04909-4
Li, M., Khairani, A. Z., & Jiang, W. (2025) · Medicine · doi:10.1097/md.0000000000042542
INFLUENCE OF SOCIAL MEDIA USE ON MENTAL HEALTH IN ADOLESCENTS – LITERATURE REVIEW
Niespodziewański, M., Jasińska, L., Szczygielska, P., Hejna, S., Teterycz, W., Zimka, G., Jaworek, L., Bjorgen, K., Goździejewska, W., & Smutkiewicz, W. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.2(50).2026.5555
Expériences adverses durant l'enfance et entrée dans la vie adulte
Biscond, M. (2022) · theses.fr (ABES) · doi:10.70675/86d5d288z17f1z4ce5zad4cz6b997763d87d
Groover, M. G., & Searight, H. R. (2026) · Open Journal of Depression · doi:10.4236/ojd.2026.153004
Mental health during war: Social media use and protective factors among adolescents and young adults
Malin, Y., Gardyn, Y., & Asterhan, C. S. C. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.108936 · Cited by 3 · see citing works
Min, G., Yue, J., Zhang, Y., Yan, J., Zhang, D., Yu, K., & Li, H. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1801922
Youth, social media, and mental health: Evidence from Australian panel data
Dockery, A. M., Duncan, A., Mavisakalyan, A., & Vu, L. (2026) · SSM - Mental Health · doi:10.1016/j.ssmmh.2026.100678
Özdemir, F., & Çeviker, G. (2021) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.898090
Behind the screen: Social media use and internalizing problems in adolescents
Berges, L., Ravensbergen, S. J., So, P., Hoogendijk, W. J. G., Bouter, D. C., & Mil, N. H. G.-V. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122341 · Cited by 1 · see citing works
Zhang, L., Bellaert, N., Zhuo, H., Liew, Z., & Tseng, W.-L. (2026) · Journal of Child and Adolescent Psychopharmacology · doi:10.1177/10445463251415497
Digital Engagement and Mental Health: Rethinking Social Media and Youth Mental Health
Xu, J. (2026) · SHS Web of Conferences · doi:10.1051/shsconf/202623604002
Romano, S., Esposito, D., Iorio, G. D., Panvino, F., Altomonte, B., Calderoni, D., Conte, G., Casini, M. P., & Terrinoni, A. (2026) · Psychiatry International · doi:10.3390/psychiatryint7030125
- Authors
- Thorisdottir, I. E., Sigurvinsdottir, R., Kristjansson, A. L., Allegrante, J. P., Lilly, C. L., & Sigfusdottir, I. D.
- Affiliations
- Reykjavík University (IS)
- West Virginia University (US)
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 141
- Pages
- 106270
- ISSN
- 0091-7435 (ISSN-L)
- PMC
- PMC8389076
- OpenAlex
- W3090679770
- Semantic Scholar
- 6d525dc91e483cd6828d424fcfee09a3a632f968
- Cited by
- 90
- References
- 50
- Citations by year
- 2026: 28 · 2025: 24 · 2024: 12 · 2023: 12 · 2022: 10 · 2021: 4
- FWCI
- 8.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Opin vísindi (Opin vísindi) (submittedVersion)
- Funders
- European Research Council (ERC-CoG-2014 -647860)
- Icelandic Centre for Research (174030 \u2013051, 174030)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- social media use, psychological distress, adolescents, social anxiety, depressive mood, physical symptoms of anxiety, sex differences, longitudinal cohort, adolescent development
- MeSH terms
- Psychological Distress, Adolescent, Anxiety, Depression, Female, Humans, Iceland, Longitudinal Studies, Male, Social Media
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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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