The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index; none of the 23 sources its claims cite is checked for support yet.
Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study
Open accessAbstract
Rationale Depression is the leading cause of disability worldwide. The suggested association between social media use (SMU) and depression may be explained by the emerging maladaptive use pattern known as problematic social media use (PSMU), characterized by addictive components.Objective We aimed to assess the association between PSMU and depressive symptoms-controlling for overall time and frequency of SMU-among a large sample of U.S. young adults.Methods In October 2014, participants aged 19-32 (N = 1749) were randomly selected from a nationally-representative U.S. probability-based panel and subsequently invited to participate in an online survey. We assessed depressive symptoms using the validated Patient-Reported Outcomes Measurement Information System (PROMIS) brief depression scale. We measured PSMU using an adapted version of the Bergen Facebook Addiction Scale to encompass broader SMU. Using logistic regression models, we tested the association between PSMU and depressive symptoms, controlling for time and frequency of SMU as well as a comprehensive set of socio-demographic covariates.Results In the multivariable model, PSMU was significantly associated with a 9% increase in odds of depressive symptoms (AOR [adjusted odds ratio] = 1.09; 95% CI [confidence interval]: 1.05, 1.13; p < 0.001.) Increased frequency of SMU was also significantly associated with increased depressive symptoms, whereas SMU time was not (AOR = 1.01; 95% CI: 1.00, 1.01; p = 0.001 and AOR = 1.00; 95% CI: 0.999-1.001; p = 0.43, respectively).Conclusion PSMU was strongly and independently associated with increased depressive symptoms in this nationally-representative sample of young adults. PSMU largely explained the association between SMU and depressive symptom, suggesting that it may be how we use social media, not how much, that poses a risk. Intervention efforts aimed at reducing depressive symptoms, such as screenings for maladaptive SMU, may be most successful if they address addictive components and frequency-rather than time-of SMU.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 23 cited sources checked · 0 supported · 0 flagged
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Among covariates, SMU frequency was significantly associated with marginal increases in odds of depressive symptoms in both bi- and multivariable models (OR = 1.01; 95% CI = 1.01, 1.01; p < .001 and AOR = 1.01; 95% CI = 1.00, 1.01; p = .001, respectively)”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Results > Bivariable and Mutivariable Models
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In the multivariable model, PSMU was significantly associated with a 9% increase in odds of depressive symptoms (AOR [adjusted odds ratio] = 1.09; 95% CI [confidence interval]: 1.05, 1.13; p < .001.)”
- Also stated in: § Bivariable and Mutivariable Models · plain
“PSMU was significantly associated with an 11% increase in odds of depressive symptoms in bivariable and a 9% increase in odds of depressive symptoms in multivariable models (OR = 1.11; 95% CI = 1.08, 1.15; p < .001 and AOR = 1.09; 95% CI = 1.05, 1.13; p < .001, respectively).”
- Also stated in: § Conclusion · boosted
“PSMU was strongly and independently associated with increased depressive symptoms in this nationally-representative sample of young adults.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Abstract > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Bivariable and Mutivariable Models · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Increased frequency of SMU was also significantly associated with increased depressive symptoms, whereas SMU time was not (AOR = 1.01; 95% CI: 1.00, 1.01; p = .001 and AOR = 1.00; 95% CI: 0.999–1.001; p = .43, respectively).”
- Also stated in: § Bivariable and Mutivariable Models · plain
“whereas SMU time was only significantly associated with increased depressive symptoms in the bivariable model (see Table 3).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Abstract > Results
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Bivariable and Mutivariable Models · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“whereas SMU time was only significantly associated with increased depressive symptoms in the bivariable model (see Table 3).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Results > Bivariable and Mutivariable Models
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“PSMU was significantly associated with an 11% increase in odds of depressive symptoms in bivariable and a 9% increase in odds of depressive symptoms in multivariable models (OR = 1.11; 95% CI = 1.08, 1.15; p < .001 and AOR = 1.09; 95% CI = 1.05, 1.13; p < .001, respectively).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Results > Bivariable and Mutivariable Models
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Increased frequency of SMU was also significantly associated with increased depressive symptoms, whereas SMU time was not (AOR = 1.01; 95% CI: 1.00, 1.01; p = .001 and AOR = 1.00; 95% CI: 0.999–1.001; p = .43, respectively).”
- Also stated in: § Bivariable and Mutivariable Models · plain
“Among covariates, SMU frequency was significantly associated with marginal increases in odds of depressive symptoms in both bi- and multivariable models (OR = 1.01; 95% CI = 1.01, 1.01; p < .001 and AOR = 1.01; 95% CI = 1.00, 1.01; p = .001, respectively)”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Abstract > Results
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Also stated in: § Bivariable and Mutivariable Models · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This study of a nationally-representative sample of young adults found that problematic social media use (PSMU) was significantly associated with depressive symptoms.”
- Also stated in: § Conclusion · plain
“Among this large sample of young adults, we found significant positive associations between PSMU and depressive symptoms.”
- Also stated in: § Discussion · boosted
“PSMU was independently and strongly associated with increased depressive symptoms.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Conclusion · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, our results also extend these findings by suggesting that PSMU is independently associated with depressive symptoms regardless of overall time spent on social media”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This association remained significant after including two measures of overall social media use (SMU) and a comprehensive set of socio-demographic variables to the model.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesWhat the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“There were no significant differences between individuals with complete vs. incomplete data in terms of socio-demographic or SMU characteristics, PSMU, or depressive symptoms (p values ranging from 0.16 to 0.93).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Results > Participants
Strength:plain· not yet calibratedn = 1,749Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- It may state two separate claims as one. 13
- Probably not a substantial claim. 10
- The quote only partly states this claim. 2
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, the association between one measure of SMU—frequency—remained significantly associated with depressive symptom in the multivariable model, whereas the other (time) did not.”
- Also stated in: § Discussion · plain
“This study found a significant association between frequency of SMU—but not overall time of SMU—and depressive symptoms in the multivariable model.”
- Also stated in: § Conclusion · plain
“Moreover, SMU frequency but not SMU time remained significantly and independently associated with depressive symptoms in our multivariable model.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Also stated in: § Discussion · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“A total of 1796 individuals completed the follow-up survey (59% response rate).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Methods > Participants and Procedures
Strength:plain· not yet calibratedn = 1,796Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one. The quote only partly states this claim.
In the paper
“This process generated a sampling frame that covers approximately 97% of U.S. households, and a panel consisting of approximately 55,000 members ages 18 and older maintained by Growth from Knowledge (GfK) (GfK KnowledgePanel®, 2013).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Methods > Participants and Procedures
What the sources say
- Not checked yetcites GfK KnowledgePanel®, 2013
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“PSMU largely explained the association between SMU and depressive symptom, suggesting that it may be how we use social media, not how much, that poses a risk.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Abstract > Conclusion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The observed association between PSMU and depressive symptoms reflects PSMU influencing depressive symptoms rather than depressive symptoms influencing PSMU.
- Rests on an assumption: The set of covariates included in the multivariable model adequately controls for confounding of the PSMU-depressive symptoms association.
In the paper
“We applied study-specific survey weights to our models. These weights were provided from GfK and computed to adjust for non-response, non-coverage, under-, or over-sampling resulting from the sampling design and based upon rigorously tested procedures (Dennis, 2010).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Methods > Data Analysis
What the sources say
- Not checked yetcites Dennis, 2010
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Because only 47 out of 1796 individuals (< 3%) were missing data, this is unlikely to have changed results. Therefore, we addressed missing data using casewise deletion rather than imputation.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Methods > Data Analysis
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Also, these data were self-reported and not externally validated.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion > Limitations
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Our findings are consistent with others who have found positive associations between PSMU and depression (Hanprathet et al., 2015; Koc and Gulyagci, 2013) and are contrary to one who recently did not (Andreassen et al., 2016a).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion
What the sources say
- Not checked yetcites Hanprathet et al., 2015
- Not checked yetcites Koc and Gulyagci, 2013 source
- Not checked yetcites Andreassen et al., 2016a
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Nonetheless, we attempted to increase the validity of our measures by assessing SMU in multiple ways (i.e., both time and frequency).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion > Limitations
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“An additional limitation of this study is that the original scales of several key variables, including SMU frequency and depressive symptoms, required data recoding for analysis either due to lack of standardization across scale items or violation of analytic model assumptions.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion > Limitations
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Because these cut-points were established using the 8-item form, not the 4-item short form used in this study, we use these interpretations with caution and apply the more conservative label of “moderate” to encompass both moderate and severe scores.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Results > Depressive Symptoms
What the sources say
- Not checked yetcites American Psychiatric Association, 2013
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“However, because responses were anonymous and all participants were informed that the study received a Certification of Confidentiality from the National Institutes of Health, it would be unlikely for participants to be untruthful.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion > Limitations
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, a limitation of survey research is the lag between data collection and dissemination of results.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion > Limitations
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, self-reported SMU can under- or overestimate actual use.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion > Limitations
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“PCA revealed a 1-factor solution, with an eigenvalue = 3.90 explaining 65% of the variance. Factor loadings ranged from 0.76 to 0.84 (Table 1). Internal consistency was high, with Cronbach’s α = 0.89.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Results > Problematic Social Media Use (PSMU)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Other research has extended this by suggesting that use of social media is associated with depressive symptoms and a decline in well-being among both adolescents (Pantic et al., 2012) and adults (Kross et al., 2013; Lin et al., 2016; McDougall et al., 2016; Shensa et al., 2016).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Abstract > Conclusion
What the sources say
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Prior studies were conducted using small convenience samples, assessing the use of a single platform, such as Facebook, or focusing on older populations (Andreassen et al., 2016a; Hanprathet et al., 2015; Koc and Gulyagci, 2013).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Abstract > Conclusion
What the sources say
- Not checked yetcites Andreassen et al., 2016a
- Not checked yetcites Hanprathet et al., 2015
- Not checked yetcites Koc and Gulyagci, 2013 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Similarly, participants self-reported depressive symptoms, and some individuals underreport stigmatizing conditions such as this.”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion > Limitations
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Visual inspection of our residual plots and the result from the Shapiro-Wilk test indicated significant and substantial departure from normality among the residuals of the dependent variable (p < .001). Additionally, scatter plots and White’s test for homogeneity of variance demonstrated significant departures from homogeneity of variance (p < .001).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Results > Regression Diagnostics
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one. The quote only partly states this claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Media multitasking has been associated with negative health outcomes in the past (Becker et al., 2013; Rosen et al., 2013).”
§ Problematic Social Media Use and Depressive Symptoms among U.S. Young Adults: A Nationally-Representative Study > Discussion
What the sources say
- Not checked yetcites Becker et al., 2013 source
- Not checked yetcites Rosen et al., 2013
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper relies on this without support.
Participants' self-reported estimates of time spent on social media and frequency of social media use are accurate.
“We first asked participants to estimate total time per day spent on social media for personal use; the item explicitly instructed participants not to include work-related use in their estimates.”
“Then, a set of items prompted participants to indicate how frequently they visited each of the following eleven social media platforms: Facebook, Twitter, Google+, YouTube, LinkedIn, Instagram, Pinterest, Tumblr, Vine, Snapchat, and Reddit.”
The paper relies on this without support.
The observed association between PSMU and depressive symptoms reflects PSMU influencing depressive symptoms rather than depressive symptoms influencing PSMU.
“PSMU largely explained the association between SMU and depressive symptom, suggesting that it may be how we use social media, not how much, that poses a risk.”
The paper relies on this without support.
The set of covariates included in the multivariable model adequately controls for confounding of the PSMU-depressive symptoms association.
“controlling for time and frequency of SMU as well as a comprehensive set of socio-demographic covariates.”
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“It has been shown that addiction to Facebook is positively associated with depression, anxiety, and insomnia (Bányai et al., 2017; Koc & Gulyagci, 2013; Shensa et al., 2017; Van Rooij, Ferguson, Van de Mheen, & Schoenmakers, 2017) and negatively associated with subjective well-being, subjective vigor, and life satisfaction (Błachnio, Przepiorka, & Pantic, 2016; Hawi & Samaha, 2017; Uysal, Satici,”
From Social media addiction: Its impact, mediation, and intervention (2019) · cites this paper as Shensa et al., 2017
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Hence, previously found negative associations between SMU intensity and mental health were potentially confounded by unobserved SMU problems.”
From Social media use intensity, social media use problems, and mental health among adolescents: Investigating directionality and mediating processes (2021) · cites this paper as Shensa et al., 2017
Experimental — accuracy not yet measuredIn the citing paper
“while two studies had a mainly adult sample (37, 42).”
From Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies (2018) · cites this paper as [42]
In the citing paper
“Only two studies used a nationally representative population [i.e., (13, 42)].”
From Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies (2018) · cites this paper as [42]
In the citing paper
“A significant and positive association between PSNSU and depression was reported in six studies [i.e., (37, 39, 41–43, 45)]. One study [i.e., (47)] reported an indirect positive association between PSNSU and depression.”
From Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies (2018) · cites this paper as [42]
In the citing paper
“Given that adolescents are using SNSs at a high rate worldwide, as a specific group they are more likely to experience co-morbid psychiatric symptoms (42).”
From Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies (2018) · cites this paper as [42]
In the citing paper
“only two studies collected data from representative populations [i.e., (13, 42)]”
From Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies (2018) · cites this paper as [42]
In the citing paper
“It is important to note that Shensa et al. (42) found that social media use frequency (but not social media time) was significantly and independently associated with depressive symptoms.”
From Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies (2018) · cites this paper as [42]
In the citing paper
“Given that adolescents are using SNSs at a high rate worldwide, as a specific group they are more likely to experience co-morbid psychiatric symptoms (42).”
From Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies (2018) · cites this paper as [42]
In the citing paper
“Shensa et al. (2017) which indicated that PSMU is strongly associated with increased depressive symptoms.”
From Problematic online behaviors among adolescents and emerging adults: associations between cyberbullying perpetration, problematic social media use, and psychosocial factors (2019) · cites this paper as Shensa et al. 2017
Citations
Cites
Selective Cortical Undercutting As a Means of Modifying and Studying Frontal Lobe Function in Man
Scoville, W. B. (1949) · Journal of neurosurgery · doi:10.3171/jns.1949.6.1.0065 · Cited by 7,374
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., et al. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.04.011 · Cited by 5,128
Motivational, emotional, and behavioral correlates of fear of missing out
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.014 · Cited by 3,932
Pilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., Cella, D., & PROMIS Cooperative Group (2011) · Assessment · doi:10.1177/1073191111411667 · Cited by 2,132
Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016) · Psychology of Addictive Behaviors · doi:10.1037/adb0000160 · Cited by 2,095 · cited 3×
“In contrast, a recent large-scale Norwegian study of adults found that PSMU was associated with decreases in depressive symptoms, which may be attributable to social withdrawal often associated with depression (Andreassen et al., 2016a).”
BackgroundResultOnline Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038 · cited 1×
“Furthermore, researchers have since addressed addictive characteristics of SMUmore broadly, assessing addictive or problematic use of multiple social networking sites or across social media in general (Andreassen, 2015; Kuss and Griffiths, 2011; Meena et al., 2012).”
BackgroundDevelopment of a Facebook Addiction Scale
Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012) · Psychological Reports · doi:10.2466/02.09.18.pr0.110.2.501-517 · Cited by 1,884
The Economic Burden of Adults With Major Depressive Disorder in the United States (2005 and 2010)
Greenberg, P. E., Fournier, A.-A., Sisitsky, T., Pike, C. T., & Kessler, R. C. (2015) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14m09298 · Cited by 1,779
Facebook Use Predicts Declines in Subjective Well-Being in Young Adults
Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., Shablack, H., Jonides, J., & Ybarra, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069841 · Cited by 1,596
Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2016.03.006 · Cited by 1,504
Flagged first, then by citations
Cited by
Sorted by citations
Weinberger, A. H., Gbedemah, M., Martinez, A. M., Nash, D., Galea, S., & Goodwin, R. D. (2018) · Psychological Medicine · doi:10.1017/s0033291717002781 · Cited by 716
Social media addiction: Its impact, mediation, and intervention
Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019) · Cyberpsychology: Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2019-1-4 · Cited by 815
“…been shown that addiction to Facebook is positively associated with depression, anxiety, and insomnia (Bányai et al., 2017; Koc & Gulyagci, 2013; Shensa et al., 2017; van Rooij, Ferguson, van de Mheen, & Schoenmakers, 2017) and negatively associated with subjective well-being, subjective vigor,…”
BackgroundSocial media use, social anxiety, and loneliness: A systematic review
O’Day, E. B., & Heimberg, R. G. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100070 · Cited by 560
Recent increases in depressive symptoms among US adolescents: trends from 1991 to 2018
Keyes, K. M., Gary, D., O’Malley, P. M., Hamilton, A., & Schulenberg, J. (2019) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01697-8 · Cited by 465
Adolescents’ Intense and Problematic Social Media Use and Their Well-Being in 29 Countries
Boer, M., van den Eijnden, R. J. J. M., Boniel-Nissim, M., Wong, S.-L., Inchley, J. C., Badura, P., Craig, W. M., Gobina, I., Kleszczewska, D., Klanšček, H. J., et al. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2020.02.014 · Cited by 434
Passive and Active Social Media Use and Depressive Symptoms Among United States Adults
Escobar-Viera, C. G., Shensa, A., Bowman, N. D., Sidani, J. E., Knight, J., James, A. E., & Primack, B. A. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0668 · Cited by 351
Self-citationBoer, 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
Gupta, M., & Sharma, A. (2021) · World Journal of Clinical Cases · doi:10.12998/wjcc.v9.i19.4881 · Cited by 520
Zoom Exhaustion & Fatigue Scale
Fauville, G., Luo, M., Queiroz, A. C. M., Bailenson, J. N., & Hancock, J. T. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100119 · Cited by 467
Wartberg, L., Kriston, L., & Thomasius, R. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.014 · Cited by 277
Matthes, J., Karsay, K., Schmuck, D., & Stević, A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106217 · Cited by 305
Kırcaburun, K., Kokkinos, C. M., Demetrovics, Z., Király, O., Griffiths, M. D., & Çolak, T. S. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-018-9894-8 · Cited by 237
Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis
Shensa, A. S., Sidani, J. E., Dew, M. A., Escobar-Viera, C. G., & Primack, B. A. (2018) · American Journal of Health Behavior · doi:10.5993/ajhb.42.2.11 · Cited by 261
Self-citationSteele, R. G., Hall, J. A., & Christofferson, J. L. (2019) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-019-00300-5 · Cited by 266
Garfin, D. R. (2020) · Stress and Health · doi:10.1002/smi.2975 · Cited by 235
Meshi, D., & Ellithorpe, M. E. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.106949 · Cited by 208
Hussain, Z., & Griffiths, M. D. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00686 · Cited by 203
Marttila, E., Koivula, A., & Räsänen, P. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101556 · Cited by 246
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
Kupferberg, A., & Hasler, G. (2023) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2023.100631 · Cited by 230
Social media use, mental health and sleep: A systematic review with meta-analyses
Ahmed, O., Walsh, E. I., Dawel, A., Alateeq, K., Espinoza Oyarce, D. A., & Cherbuin, N. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.08.193 · Cited by 188
Mamun, M. A. A., & Griffiths, M. D. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2018.12.039 · Cited by 175
Luo, T., Qin, L., Cheng, L., Wang, S., Zhu, Z., Xu, J., Chen, H., Liu, Q., Hu, M., Tong, J., et al. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00025 · Cited by 170
Internet and Video Game Addictions
Sussman, C., Harper, J. M., Stahl, J. L., & Weigle, P. E. (2018) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2017.11.015 · Cited by 190
Sela, Y., Zach, M., Amichai‐Hamburger, Y., Mishali, M., & Omer, H. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106226 · Cited by 192
Hussain, Z., & Griffiths, M. D. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00175-1 · Cited by 142
Social Media Use and Perceived Emotional Support Among US Young Adults
Shensa, A. S., Sidani, J. E., Lin, L. Y., Bowman, N. D., & Primack, B. A. (2015) · Journal of Community Health · doi:10.1007/s10900-015-0128-8 · Cited by 167
Self-citationEscobar-Viera, C. G., Whitfield, D. L., Wessel, C. B., Shensa, A. S., Sidani, J. E., Brown, A. L., Chandler, C. J., Hoffman, B. L., Marshal, M. P., & Primack, B. A. (2018) · JMIR Mental Health · doi:10.2196/10496 · Cited by 149
Self-citationThe serially mediated relationship between emerging adults’ social media use and mental well-being
Rasmussen, E. E., Punyanunt-Carter, N. M., LaFreniere, J. R., Norman, M. S., & Kimball, T. G. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.019 · Cited by 167
Social norms and e-motions in problematic social media use among adolescents
Marino, C., Gini, G., Angelini, F., Vieno, A., & Spada, M. M. (2020) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2020.100250 · Cited by 136
Qu, D., Liu, B., Jia, L., Zhang, X., Chen, D., Zhang, Q., Feng, Y., & Chen, R. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.108059 · Cited by 144
Foroughi, B., Griffiths, M. D., Iranmanesh, M., & Salamzadeh, Y. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-021-00510-5 · Cited by 133
Depression and internet addiction among adolescents:A meta-analysis
Ye, X., Zhang, W., & Zhao, F. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115311 · Cited by 153
Islam, M. S., Sujan, M. S. H., Tasnim, R., Mohona, R. A., Ferdous, M. Z., Kamruzzaman, S., Toma, T. Y., Sakib, M. N., Pinky, K. N., Islam, M. R., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.647386 · Cited by 131
Investigating the role of social media on mental health
Sadagheyani, H. E., & Tatari, F. (2020) · Mental Health and Social Inclusion · doi:10.1108/mhsi-06-2020-0039 · Cited by 174
Wartberg, L., Thomasius, R., & Paschke, K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106788 · Cited by 123
Li, J., Lau, J. T. F., Mo, P. K. H., Su, X., Tang, J., Qin, Z., & Gross, D. L. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.085 · Cited by 125
Bhat, S., Pinto-Zipp, G., Upadhyay, H., & Polos, P. G. (2018) · Sleep Health · doi:10.1016/j.sleh.2017.12.004 · Cited by 114
Raudsepp, L., & Kais, K. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2019.100925 · Cited by 114
Stănculescu, E., & Griffiths, M. D. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101879 · Cited by 129
Zhang, X., Gao, F., Kang, Z., Zhou, H., Zhang, J., Li, J., Yan, J. H., Wang, J., Liu, H., Wu, Q., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.760387 · Cited by 157
Holtzhausen, N., Fitzgerald, K., Thakur, I., Ashley, J., Rolfe, M. I., & Pit, S. (2020) · BMC Psychology · doi:10.1186/s40359-020-0373-1 · Cited by 110
Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
Hartanto, A., Quek, F. Y. X., Tng, G. Y. Q., & Yong, J. C. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.641934 · Cited by 107
Luo, T., Chen, W., & Liao, Y. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.05.057 · Cited by 114
Camera-ready: Young women’s appearance-related social media consciousness.
Choukas-Bradley, S., Nesi, J., Widman, L., & Higgins, M. K. (2019) · Psychology of Popular Media Culture · doi:10.1037/ppm0000196 · Cited by 105
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
Temporal Associations Between Social Media Use and Depression
Primack, B. A., Shensa, A. S., Sidani, J. E., Escobar-Viera, C. G., & Fine, M. J. (2020) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2020.09.014 · Cited by 93
Self-citationA systematic review on automated clinical depression diagnosis
Mao, K., Wu, Y., & Chen, J. (2023) · npj Mental Health Research · doi:10.1038/s44184-023-00040-z · Cited by 106
Sindermann, C., Elhai, J. D., & Montag, C. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112793 · Cited by 90
Raudsepp, L. (2019) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.09.005 · Cited by 83
Muzi, S., Sansò, A., & Pace, C. S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.590543 · Cited by 102
Chen, C. (2018) · Information Communication & Society · doi:10.1080/1369118x.2018.1518469 · Cited by 92
Tang, C. S., Wu, A. M. S., Yan, E., Ko, J. H. C., Kwon, J. H., Yogo, M., Gan, Y., & Koh, Y. Y. W. (2018) · Public Health · doi:10.1016/j.puhe.2018.09.010 · Cited by 100
A biopsychosocial approach to understanding social media addiction
Dailey, S. L., Howard, K. J., Roming, S., Ceballos, N. A., & Grimes, T. (2020) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.182 · Cited by 94
Hussain, Z., Wegmann, E., Yang, H., & Montag, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00211 · Cited by 93
Kırcaburun, K., Demetrovics, Z., Király, O., & Griffiths, M. D. (2018) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-018-9941-5 · Cited by 85
Chatzopoulou, E., Filieri, R., & Dogruyol, S. A. (2020) · Journal of Consumer Affairs · doi:10.1111/joca.12329 · Cited by 97
Moreno, M. A., Riddle, K. E., Jenkins, M. C., Singh, A. P., Zhao, Q., & Eickhoff, J. C. (2021) · JMIR Public Health and Surveillance · doi:10.2196/27719 · Cited by 109
Social comparisons: A potential mechanism linking problematic social media use with depression
Samra, A., Warburton, W. A., & Collins, A. M. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00023 · Cited by 82
Süral, I., Griffiths, M. D., Kircaburun, K., & Emirtekin, E. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-018-0022-6 · Cited by 82
Wang, Y., Liu, B., Zhang, L., & Zhang, P. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.827519 · Cited by 81
Lee, M. H. L., Kaur, M., Shaker, V., Yee, A., Sham, R., & Siau, C. S. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043136 · Cited by 79
Dennen, V. P., Choi, H., & Word, K. (2020) · Educational Technology Research and Development · doi:10.1007/s11423-020-09796-z · Cited by 79
Stănculescu, E. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-021-00732-7 · Cited by 83
Cerniglia, L., Griffiths, M. D., Cimino, S., De Palo, V., Monacis, L., Sinatra, M., & Tambelli, R. (2019) · Psychology Research and Behavior Management · doi:10.2147/prbm.s211873 · Cited by 74
Internet gaming disorder and comorbidities among campus-dwelling U.S. university students
Ohayon, M. M., & Roberts, L. W. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.114043 · Cited by 89
Huang, P., Latner, J. D., O’Brien, K., Chang, Y.-L., Hung, C., Chen, J., Lee, K., & Lin, C. (2023) · Journal of Eating Disorders · doi:10.1186/s40337-023-00769-0 · Cited by 91
Majeed, M., Irshad, M., Fatima, T., Khan, J., & Hassan, M. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.557987 · Cited by 73
Geurts, S. M., Koning, I. M., Vossen, H. G. M., & van den Eijnden, R. J. J. M. (2022) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2022.152318 · Cited by 76
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
Rozgonjuk, D., Sindermann, C., Elhai, J. D., Christensen, A. P., & Montag, C. (2020) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00036 · Cited by 82
Problematic Social Networking Site use-effects on mental health and the brain
Weinstein, A. M. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1106004 · Cited by 70
Cheng, C., Ebrahimi, O. V., & Luk, J. W. (2022) · Journal of Medical Internet Research · doi:10.2196/27000 · Cited by 84
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
Social media and its relationship with mood, self‐esteem and paranoia in psychosis
Berry, N., Emsley, R., Lobban, F., & Bucci, S. (2018) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12953 · Cited by 88
Sayeed, A., Hassan, M. N., Rahman, M. H., El Hayek, S., Banna, M. H. A., Mallick, T., Hasan, A.-R., Meem, A. E., & Kundu, S. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105424 · Cited by 63
Zhou, X., Rau, P. P., Yang, C.-L., & Zhou, X. (2020) · Psychiatric Quarterly · doi:10.1007/s11126-020-09852-0 · Cited by 69
Saadeh, H., Saadeh, M., Almobaideen, W. A., Refaei, A. H. A., Shewaikani, N., Fayez, R. Q. A., Khawaldah, H. A., Abu‐Shanab, S., & Al-Hussaini, M. A. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.605676 · Cited by 66
The social context of adolescent mental health and wellbeing: parents, friends and social media
Hartas, D. (2019) · Research Papers in Education · doi:10.1080/02671522.2019.1697734 · Cited by 89
Young Adult Depression and Anxiety Linked to Social Media Use: Assessment and Treatment
Bettmann, J. E., Anstadt, G., Casselman, B., & Ganesh, K. (2020) · Clinical Social Work Journal · doi:10.1007/s10615-020-00752-1 · Cited by 80
Investigating the impact of mobile SNS addiction on individual’s self-rated health
Xue, Y., Dong, Y., Luo, M., Mo, D., Dong, W., Zhang, Z., & Liang, H. (2018) · Internet Research · doi:10.1108/intr-05-2017-0198 · Cited by 59
Faghani, N., Akbari, M., Hasani, J., & Marino, C. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106252 · Cited by 66
Musetti, A., Starčević, V., Boursier, V., Corsano, P., Billieux, J., & Schimmenti, A. (2021) · Journal of Clinical Psychology · doi:10.1002/jclp.23138 · Cited by 68
Azhari, A., Toms, Z., Pavlopoulou, G., Esposito, G., & Dimitriou, D. (2022) · Acta Psychologica · doi:10.1016/j.actpsy.2022.103706 · Cited by 92
Problematic Smartphone Use and Mental Health in Chinese Adults: A Population-Based Study
Guo, N., Luk, T. T., Ho, S. Y., Lee, J. J., Shen, C., Oliffe, J. L., Chan, S. S. C., Lam, T. H., & Wang, M. P. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17030844 · Cited by 63
Hussain, Z., Wegmann, E., & Griffiths, M. D. (2021) · BMC Psychology · doi:10.1186/s40359-021-00668-6 · Cited by 60
Social media in cardiovascular medicine: a contemporary review
Ladeiras‐Lopes, R., Baciu, L., Grapsa, J., Sohaib, A., Vidal-Pérez, R., Böhm, A., Silvola, H., Giménez, M. R., Muscoli, S., Wallner, M., et al. (2020) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztaa004 · Cited by 53
Identifying the central symptoms of problematic social networking sites use through network analysis
Svicher, A., Fioravanti, G., & Casale, S. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00053 · Cited by 54
Cognitive biases and excessive use of social media: The facebook implicit associations test (FIAT)
Turel, O., & Serenko, A. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106328 · Cited by 55
Naranjo-Zolotov, M., Turel, O., Oliveira, T., & Lascano, J. E. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106784 · Cited by 53
The course of problematic social media use in young adolescents: A latent class growth analysis
Boer, M., Stevens, G. W. J. M., Finkenauer, C., & van den Eijnden, R. J. J. M. (2021) · Child Development · doi:10.1111/cdev.13712 · Cited by 50
Koç, H., Gökalp, Z. Ş., & Seki, T. (2023) · Emerging Adulthood · doi:10.1177/21676968231151776 · Cited by 65
Swiping away the moments that make up a dull day: Narcissism, boredom, and compulsive smartphone use
Ksinan, A. J., Mališ, J., & Vazsonyi, A. T. (2019) · Current Psychology · doi:10.1007/s12144-019-00228-7 · Cited by 54
Investigation of the Effect of Social Media Addiction on Adults with Depression
Aydın, S., Koçak, O., Shaw, T. A., Büber, B., Akpinar, E. Z., & Younis, M. Z. (2021) · Healthcare · doi:10.3390/healthcare9040450 · Cited by 59
Arıkan, G., Acar, İ. H., & Ustundag-Budak, A. M. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.107109 · Cited by 55
Politte‐Corn, M., Nick, E. A., & Kujawa, A. (2023) · Child and Adolescent Mental Health · doi:10.1111/camh.12640 · Cited by 57
Hubungan Antara Intensitas Penggunaan Media Sosial dan Tingkat Depresi pada Mahasiswa
Aziz, A. A. A. (2020) · Acta Psychologia · doi:10.21831/ap.v2i2.35100 · Cited by 73
Hábitos y actitudes de los jóvenes ante las redes sociales: influencia del sexo, edad y clase social
López, M. C. L. D. A., Vizcaíno-Laorga, R., & Vozmediano, M. M. (2020) · El Profesional de la Informacion · doi:10.3145/epi.2020.nov.04 · Cited by 53
Swain, R. K., & Pati, A. K. (2019) · Biological Rhythm Research · doi:10.1080/09291016.2019.1620487 · Cited by 53
Alfaya, M. A., Abdullah, N. S., Alshahrani, N. Z., Alqahtani, A. A. A., Algethami, M. R., Al Qahtani, A. S. Y., Aljunaid, M. A., & Alharbi, F. T. G. (2023) · Healthcare · doi:10.3390/healthcare11101370 · Cited by 46
Metadata
- Authors
- Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A.
- Affiliations
- University of Pittsburgh (US)
- West Virginia University (US)
- Corresponding author
- Shensa, Ariel
- ORCID
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 182
- Pages
- 150-157
- ISSN
- 0277-9536 (ISSN-L)
- PMC
- PMC5476225
- OpenAlex
- W2605927993
- Cited by
- 469
- References
- 54
- Citations by year
- 2026: 51 · 2025: 55 · 2024: 47 · 2023: 60 · 2022: 64 · 2021: 66 · 2020: 56 · 2019: 39 · 2018: 24 · 2017: 6
- FWCI
- 87.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Social Science & Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Cancer Institute (R01CA140150)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Clinical Psychology › Body Image and Dysmorphia Studies
- Keywords
- social media addiction, depressive symptoms, young adults, Bergen Facebook Addiction Scale, mental health screening
- MeSH terms
- Adult, Depression, Female, Humans, Male, Psychiatric Status Rating Scales, Psychometrics, Surveys and Questionnaires, Risk Factors, United States, Odds Ratio, Behavior, Addictive, 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.
A language model drew the claims from the paper on 2026-10-04, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-04 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review