This paper is in the following e-collection/theme issue:

Reviews in Digital Mental Health (225) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1553) Mental Health Issues in Adolescence (380) e-Mental Health and Cyberpsychology (1387) Anxiety and Stress Disorders (1002) Mass Media/Social Media Communication and Campaigns (446) Problematic Internet Use, Online Gambling and Game Addiction (105)

Published on in Vol 9, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33450, first published .
Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis

Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis

Problematic Social Media Use in Adolescents and Young Adults: Systematic Review and Meta-analysis

Authors of this article:

Holly Shannon1, 2 Author Orcid Image ;   Katie Bush1 Author Orcid Image ;   Paul J Villeneuve2, 3 Author Orcid Image ;   Kim GC Hellemans2 Author Orcid Image ;   Synthia Guimond1, 2, 4 Author Orcid Image
Article Authors Cited by (83) Tweetations (46) Metrics

    Review

    1Department of Psychiatry, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada

    2Department of Neuroscience, Carleton University, Ottawa, ON, Canada

    3School of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada

    4Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada

    *these authors contributed equally

    Corresponding Author:

    Synthia Guimond, PhD

    Department of Psychiatry

    The Royal's Institute of Mental Health Research

    University of Ottawa

    1145 Carling Ave

    Ottawa, ON, K1Z 7K4

    Canada

    Phone: 1 6135708402

    Email: synthia.guimond@theroyal.ca


    Background: Technology is ever evolving, with more and more diverse activities becoming possible on screen-based devices. However, participating in a heavy screen-based lifestyle may come at a cost. Our hypothesis was that problematic social media use increased the prevalence of mental health outcomes.

    Objective: This study seeks to systematically examine problematic social media use in youth and its association with symptoms of depression, anxiety, and stress.

    Methods: A systematic search was conducted to identify studies in adolescents and young adults, using the databases Engineering Village, Psycinfo, Pubmed, and Web of Science. A total of 18 studies were identified, with a total of 9269 participants in our review and included in the meta-analysis.

    Results: Our metaregression shows moderate but statistically significant correlations between problematic social media use and depression (r=0.273, P<.001), anxiety (r=0.348, P<.001), and stress (r=0.313, P<.001). We did not find evidence of heterogeneity of these summary correlations by age, gender, or year of publication.

    Conclusions: This study provides further evidence of the association between problematic social media use and negative mental health among adolescents and young adults and supports future research to focus on the underlying mechanisms of problematic use of social media.

    Trial Registration: PROSPERO CRD42021222309; https://tinyurl.com/2p9y4bjx

    JMIR Ment Health 2022;9(4):e33450

    doi:10.2196/33450

    Keywords

    problematic social media use; depression; anxiety; stress 


    Technology is ever evolving, with more and more diverse activities becoming possible on screen-based devices. With this increasing engagement in the digital world, social networking sites have become an increasingly popular activity, especially among younger populations [1]. Adolescents and young adults represent a unique population in terms of social media users, as they are the first generations to grow up in a highly digitized society. Social media use is highly normative among young individuals: In 2016, 97.5% of young adults in the United States reported using at least one social media site regularly [2]. However, participating in a heavy screen-based lifestyle may come at a cost. A wealth of evidence suggests higher levels of social media use are associated with symptoms of anxiety [3-5], symptoms of depression [3,6-8], decreased psychological well-being [9], lower self-esteem [3], psychological distress [10-12], and loneliness [5]. A meta-analysis in young adults reports a small correlation between depressive symptoms and adolescent social media use, defined by frequency of use [13]. However, along with the evidence supporting the negative impacts of social media use, some reports suggest there may exist positive outcomes following use. For example, social media use has also been linked to higher quality of life, social support, well-being, and reduced stress [14,15].

    Aside from excessive use of social media, typically defined on the basis of hours of use, the term of problematic use characterizes individuals who experience addiction-like symptoms as a result of their social media use [5]. Problematic social media use reflects a non–substance related disorder by which detrimental effects occur as a result of preoccupation and compulsion to excessively engage in social media platforms despite negative consequences [16]. While there exists no official diagnostic term or measurement, Andreassen et al [17] developed the Facebook Addiction Scale, which measures features of substance use disorder such as salience, tolerance, preoccupation, impaired role performance, loss of control, and withdrawal, to systematically score problematic Facebook use. This scale has been widely used to conceptualize problematic use as a behavioral addiction and has therefore also been modified to measure overall problematic social media use, instead of focusing on Facebook specifically [18]. Similar to high frequencies of social media use, problematic social media use has also been associated with poor mental health outcomes such as depression, anxiety, decreased well-being, and lower self-esteem [1,17,19-22]. A recent meta-analysis by Cunningham et al [23] found that problematic social media use was a stronger predictor of depressive symptoms when compared to the measure of time spent on social networking sites. Therefore, based on previous evidence, problematic social media use may be more imperative to examine than hours spent on social media platforms.

    Researchers recognize youth and students as a vulnerable group compared to adults because their increased use of social media is occurring during a time of identity formation, where they are free to explore various life possibilities and develop new values [2]. Furthermore, their use occurs when critical brain circuits involved in emotion regulation and motivation are continuing to undergo development [24]. As social media plays a large role in their day-to-day lives, patterns and frequency of use have the potential to become problematic. On this level, youth are more at risk for facing cyberbullying [25], finding it difficult to disengage from the media and allowing it to interfere with their social relationships [26]; this in turn puts them at risk for experiencing negative emotional and psychosocial outcomes [27]. Therefore, younger individuals are a vulnerable group of social media users, and it is important to better understand the outcomes for well-being that are associated with this type of problematic social media use. Yet, the magnitude of impact social media has on adolescents and emerging adults, especially when considering problematic use, remains unclear.

    With this background, we systematically examined and summarized, with the most current evidence, the strength of association between problematic social media use and multiple mental health outcomes. Specifically, we considered depressive symptoms, anxiety symptoms, and stress. Our a priori hypothesis was that problematic social media use adversely impacts all mental health outcomes measured. In addition, age, gender, and year of publication were investigated as covariates in the relationship between problematic social media use and all mental health outcome variables.


    This meta-analysis was registered with the International Prospective Register of Systematic Reviews (PROSPERO; CRD42021222309). The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed [28].

    Inclusion and Exclusion Criteria

    This systematic review included measures of problematic social media use, with depressive symptoms, anxiety symptoms, and stress as outcome measures, assessed by validated instruments. The studies included were cross-sectional and provided a measure of association between problematic use and at least one of the mental health outcomes. Studies must have included a measure of problematic use from the participants; simply indicating if the participant was a user of social media was not acceptable (eg, grouping users vs nonusers of social media). Social media use was also examined in general, without focusing on specific activities (eg, studies looking at specific screen content or comparisons on social media platforms, etc) or a specific platform (eg, Facebook). Problematic social media use scales must have been validated to specifically measure social media use in terms of addictive use, comprising criteria used when measuring substance use disorders. Studies included were restricted to English language, and ages 12 to 30 years. Studies were excluded if they only measured frequency or problematic use of the internet in general, as social media use specifically must have been measured. Studies were also excluded if social media was being used as a treatment/intervention or in a focus-group setting. Finally, studies were excluded if they only measured social media use in clinical populations.

    Literature Search

    A systematic literature search was conducted in April 2021 using the databases Engineering Village, PsycInfo, Pubmed, and Web of Science using the terms “social media,” “social networking,” “mental health,” “depression,” “depressive symptoms,” “anxiety,” and “stress.” These search terms were used to quantify social media use in terms of problematic use.

    Assessment of Quality

    All eligible studies were assessed for quality using an adapted version of the Newcastle-Ottawa quality assessment scale for cross-sectional studies, which was used to score the risk of bias for each study [29]. All studies were independently rated by HS and KB and given a score out of 10. Conflicts in scoring were resolved by discussion (Multimedia Appendix 1).

    Data Extraction

    For each study identified as eligible, the following information was extracted; study identification (authors, year of publication, and country conducted), study design (sample size, age range, mean age, gender, and questionnaire used to measure problematic social media use), outcome variables (questionnaire used to measure each outcome and measure of association). See Multimedia Appendix 1 for questionnaires used to measure problematic use and outcome variables for each study included in the meta-analysis.

    Statistical Analysis

    To quantify the association between problematic social media use and depressive symptoms, anxiety symptoms, and stress, we used the Pearson correlation coefficient (r). Problematic use was considered on a continuum, based on the score obtained from the questionnaire used, which measures problematic use as addiction-like tendencies. All data analysis was performed using the statistical software Stata (Stat Corp) [30]. A random effects model was used, as it does not assume a common effect size across studies. The variance of r was calculated in order to obtain the standard error for each correlation coefficient. The effect size in all groups of analysis had a 95% confidence interval. Publication bias was evaluated by producing a funnel plot, and by performing the Egger test. Age, gender, and year of publication were investigated as covariates by adding mean age, the percentage of male participants reported, and publication year for each study into separate metaregression analyses.

    Ethical Considerations

    Since meta-analyses do not need Institutional Review Board approval, the authors did not seek ethics approval.


    Literature Search

    The literature search yielded 2846 articles, with 2410 articles remaining after duplicates were removed (Figure 1). Articles were screened based on titles and abstract to remove any records that were not quantitative, did not assess one of the outcomes, or were longitudinal. After the first screening, 417 (17.30%) articles were considered to be eligible and were then screened based on full text to exclude any remaining records that did not meet the inclusion criteria. Of the remaining articles, 4 were excluded as they were reporting results using dichotomized continuous variables. These studies separated participants into groups based on the scores of their respective scales, and therefore could not be used in our meta-analysis. Additionally, any unpublished data were obtained by contacting the corresponding author. One study included reported statistics distinct to two separate samples; therefore, the two samples were coded independently [31]. The results from Kim et al [32] were excluded from the metaregression, as mean age was not reported or received when contacted. The correlation from Giordano et al [33] with problematic social media use was reported as a combined score of depressive and anxiety symptoms, which therefore could not be included in the meta-analysis. However, all variables were pooled together for the metaregression analyses, so they were included when examining age, gender, and publication year as covariates. Details on the final 18 studies and 9269 total participants included are summarized in Table 1.

    ‎
    Figure 1. Flow chart of the search process and studies included.
    View this figure
    Table 1. Summary of included studies on the relationship between social media use and outcome variables (note that not all studies measured all three outcomes. Giordano et al [33] assessed anxiety and depression combined and was therefore only included in the meta-regression analyses).
    First author (year)Sample sizeFemale, n
    (%)    		Male, n (%)Age (years) range (mean)CountryProblematic use and depression (r)Problematic use and anxiety (r)Problematic use and stress (r)Problematic use and depression and anxiety combined (r)
    Holmgren (2017) [34]442228 (51.6)214 (48.4)18-21 (18.86)United States0.29N/AaN/AN/A
    Wang (2018) [35]365190 (52)175 (48)14-18 (16.29)China0.18N/AN/AN/A
    Apaolaza (2019) [36]346179 (51.7)167 (48.3)17-26 (18.73)SpainN/AN/A0.49N/A
    Hou (2019) [37]641477 (74.4)164 (25.6)17-25 (19.9)China0.220.220.11N/A
    Kircaburun (2019) [25]470280 (59.6)190 (40.4)14-18 (16.29)Turkey0.03N/AN/AN/A
    Mitra (2019) [38]264164 (62.2)100 (37.8)18-25 (21.56)India0.39N/AN/AN/A
    Chen (2020) [39]437308 (70.5)129 (29.5)16-30 (24.21)ChinaN/A0.29N/AN/A
    Kim (2020) [32]20931 (14.8)178 (85.2)15-18 (N/A)ChinaN/A0.20N/AN/A
    Kircaburun, Demetrovics (2020) [40]344282 (82)62 (18)18-25 (20.87)Turkey0.22N/AN/AN/A
    Kircaburun, Grifiths (2020) [41]460281 (61)179 (39)18-26 (19.74)Turkey0.34N/AN/AN/A
    Stockdale (2020) [26]385204 (53)181 (47)17-19 (18.01)United States0.280.24N/AN/A
    Wong (2020) [42]300178 (59.3)122 (40.7)18-24 (20.89)Hong Kong0.3360.3440.384N/A
    Yildiz (2020) [43]451214 (47.5)237 (52.5)13-17 (15.5)TurkeyN/A0.58N/AN/A
    Brailovskaia; Lithuanian sample (2021) [31]16401123 (68.5)517 (31.5)18-29 (19.09)Lithuania0.3050.3290.246N/A
    Brailovskaia; German sample (2021) [31]727548 (75.4)179 (24.6)18-29 (21.47)Germany0.3960.4610.411N/A
    Giordano (2021) [33]428218 (50.9)210 (49.1)13-19 (17.38)United StatesN/AN/AN/A0.314
    He (2021) [44]218218 (100)0 (0)19-23 (19.6)ChinaN/AN/A0.23N/A
    Kilincel (2021) [45]1142722 (63.2)420 (36.8)12-18 (15.6)TurkeyN/A0.417N/AN/A

    aN/A: not applicable.

    Problematic Social Media Use and Depressive Symptoms

    When examining depression as an outcome, 11 studies presented associations between problematic social media use in adolescents and young adults. The Center of Epidemiologic Studies Depression Scale was most commonly used to measure depressive symptoms. The summary metaregression correlation between problematic social media use and depressive symptoms was 0.273 (95% CI 0.215-0.332, P<.001). There was heterogeneity in the measures of association across the studies (Figure 2) with an I2=83.2%, Q2=59.69, and P<.001. The funnel plot (Multimedia Appendix 1) shows slight asymmetry, suggesting slight publication bias, however Egger’s test for small-study effects was not significant (P=.35).

    ‎
    Figure 2. Forest plot of depressive symptoms and problematic social media use by year.
    View this figure

    Problematic Social Media Use and Anxiety Symptoms

    When examining anxiety symptoms as an outcome, 9 studies were identified measuring an association with problematic social media use in adolescents and young adults. The Depression Anxiety Stress Scale was most commonly used to measure anxiety symptoms. The summary metaregression correlation between problematic social media use and anxiety symptoms was 0.348 (95% CI 0.270-0.426, P<.001). There was substantial heterogeneity in the measures of association across the studies (Figure 3) with an I2=91.6%, Q2=94.75, P<.001. The funnel plot (Multimedia Appendix 1) shows asymmetry, suggesting some publication bias being present; however, the Egger test for small-study effects was not significant (P=.30).

    ‎
    Figure 3. Forest plot of anxiety symptoms and problematic social media use by year.
    View this figure

    Problematic Social Media Use and Stress

    Finally, when examining stress as an outcome, only 6 studies were identified measuring an association with problematic social media use in adolescents and young adults. The summary metaregression correlation between problematic social media use and stress was 0.313 (95% CI 0.203-0.423, P<.001). There was heterogeneity in the measures of association across the studies (Figure 4) with an I2=92.6%, Q2=67.59, P<.001. The funnel plot (Multimedia Appendix 1) shows symmetry, suggesting no publication bias, with no significant bias from the Egger test as well (P=.79).

    ‎
    Figure 4. Forest plot of stress and problematic social media use by year.
    View this figure

    Moderators of Problematic Social Media Use

    The metaregression assessing the impact of age as a covariate on the relationship between problematic social media use and all mental health outcomes combined showed that age was not significantly moderating the relationships (P=.75). When examining gender as a covariate in the relationship between problematic social media use and all mental health outcomes, gender did not significantly moderate the relationship (P=.25). Finally, year of publication also did not significantly moderate the relationship between problematic social media use and all mental health outcomes when added as a covariate (P=.09). See Multimedia Appendix 1 for metaregression plots.


    Principal Findings

    This meta-analysis reports outcome measures of depression, anxiety, and stress in association with problematic social media use, specifically among adolescents and young adults. There is evidence for a significant relationship between problematic social media use in youth and negative mental health outcomes, particularly higher depression and anxiety symptoms, and greater stress. The strongest correlation was observed with anxiety; however, this also presented the most heterogeneity, likely due to the variety of assessments used to quantify symptoms of anxiety in the individual studies.

    Although the correlations are moderate, this meta-analysis provides further evidence for the possible harms of problematic social media use. Previous meta-analyses examining time spent on social media and mental health show very small effect sizes, with most correlations being reported below r=0.20 [46-48]. One explanation for previously small correlations observed is the variability of social media content itself and the ways individuals are using or viewing their social media accounts. There has been evidence of multiple variables that can influence the severity of mental health outcomes such as night time–specific use, passive use, the number of social media platforms, motives for using social media, and so on [3,49-52]. Problematic social media use is a distinct pattern of use characterized by “addiction-like” symptoms based on behavioral and psychological attributes. It is characterized not only by time spent on social media, but also by measuring the extent of symptoms similar to a substance-related disorder, such as withdrawal, tolerance, and dependence [22]. Therefore, problematic social media use could represent a more clinically meaningful behavior to direct research, as a stronger relationship is seen with adverse mental health symptoms compared to previous studies investigating time spent on social networking sites or screen time in general [23,53,54].

    The influence of age is still highly debated with evidence pointing toward younger social media users being more likely to have worse mental health symptoms compared to older users [55], whereas others have found no significant age effect with time spent on social media [56]. Cunningham et al [23] found age did not moderate the relationship between problematic social media use and depression; however, this study was performed in a mainly adult sample. Likewise, in our meta-analysis, age did not significantly moderate the relationship between the outcome variables combined and problematic use. This is likely due to the restricted age range, as the mean age between individual studies were analogous. Higher social media usage, along with developmental vulnerabilities, in adolescents and young adults has been proposed to explain the higher association with worse mental health outcomes compared to adults [57,58]. However, when looking specifically at mental health associated with problematic social media use as a behavior, the severity of reported problematic use symptoms may be more imperative to consider rather than age. Future research could directly compare adolescents to adults to examine if a difference in correlational strength is present, specifically when measuring problematic use.

    Gender was examined as a moderator by including the percentage of male participants from each study into a metaregression analysis. Gender did not significantly moderate the relationship between problematic social media use and mental health, suggesting the association between mental health symptoms and problematic use of social media is not different between genders. Studies included in this meta-analysis did not specify if they assessed biological sex. Future research should provide more specific results for each group for both sex and genders to allow future meta-analyses to summarize this information and provide insight into gaps in the current literature on problematic use of social media [23,51,59].

    Year of publication did not significantly moderate the relationship between problematic social media use and mental health outcomes. Although there are increased rates of social media use in adolescents and young adults over time, this may not be directly pertinent in the strength of the association between mental health and problematic use [23,60]. Year of publication may be more indicative of the prevalence of social media use as it increases with the growing use of technology [60]. Along with previous data, it is suggested that mental health symptoms associated with problematic social media use do not appear to be worsening over time; however, longitudinal studies exploring this specific aspect are needed.

    Strengths and Limitations

    This study is not without limitations. The number of studies included in each meta-analysis was limited; therefore, the results are somewhat limited in power. Secondly, the results are based on cross-sectional correlational data. Therefore, a causal relationship cannot be inferred from the direct impact of social media on mental health outcomes of depressive symptoms, anxiety symptoms, or stress. It is possible that there are likely bidirectional effects between poor mental health and social media use [61]. In addition, the research studies included in the meta-analysis used did not report assessing the presence of a clinical diagnosis; therefore, it is unknown how many participants already had a known or possible clinical psychiatric diagnosis. This could influence the results of the outcome variables being measured, as it is unknown if individuals are more likely to have negative social media experiences or consequences as a result of using social media compared to individuals without a mental health diagnosis. Although the included questionnaires were previously validated, the majority of the research relies on self-report measures, also presenting as a limitation to the results reported.

    Future Directions

    Overall, there is a lack of research providing evidence on the mental health outcomes of social media use, particularly patterns of problematic use in younger populations. In order to thoroughly understand the direct implications of problematic social media use, longitudinal studies could aid in providing more causational conclusions, as cross-sectional methodology is limited in its ability to draw conclusions beyond correlation [62]. In addition to a longitudinal design, understanding the biological basis of problematic use could contribute to understanding vulnerability to negative mental health outcomes. Future studies exploring the relationship between problematic social media and mental health outcomes would also benefit from including more detailed information on how participants are using various platforms. Indeed, there are several other scales exploring social media use that explore motivations for and mood associated with use (eg, social media use integration scale), which may provide greater depth of understanding around these associations. Finally, in traditional clinical practices for substance use disorders, treatment is often based on abstinence. For problematic social media use, total abstinence may not be a realistic option in today’s technology-based culture. Therefore, there should also be an increasing focus on identifying healthy ways to use social media in order to avoid the development of problematic use.

    Conclusions

    The findings from this study provide further evidence of the association between problematic social media and negative mental health outcomes of depression, anxiety, and stress among adolescents and young adults. Although there is a large amount of evidence pointing toward the negative impacts of social media on mental health, there is still a need for further research to provide conclusive results on the causal relationship and how social media can be used without taking a toll on the mental health of users. Considering the omnipresence of social media among youth, more resources should be allocated to better understand the relationship between use and mental health symptoms and to prevent such negative outcomes.

    Conflicts of Interest

    None declared.

    ‎
    Multimedia Appendix 1

    Quality assessment rating for each study included in the meta-analysis. Questionnaires used for each study to measure problematic use and the outcome variables. Funnel plots and metaregressions.

    DOCX File , 399 KB
    1. Andreassen CS, Pallesen S, Griffiths MD. The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addict Behav 2017 Jan;64:287-293. [CrossRef] [Medline]
    2. Villanti AC, Johnson AL, Ilakkuvan V, Jacobs MA, Graham AL, Rath JM. Social Media Use and Access to Digital Technology in US Young Adults in 2016. J Med Internet Res 2017 Jun 07;19(6):e196 [FREE Full text] [CrossRef] [Medline]
    3. Woods HC, Scott H. #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc 2016 Aug;51:41-49. [CrossRef] [Medline]
    4. Vannucci A, Flannery KM, Ohannessian CM. Social media use and anxiety in emerging adults. J Affect Disord 2017 Jan 01;207:163-166. [CrossRef] [Medline]
    5. Griffiths MD, Kuss DJ, Demetrovics Z. Chapter 6 - Social Networking Addiction: An Overview of Preliminary Findings. In: Behavioral Addictions Criteria, Evidence, and Treatment. London, UK: Academic Press; 2014:119-141.
    6. Pantic I, Damjanovic A, Todorovic J, Topalovic D, Bojovic-Jovic D, Ristic S, et al. Association between online social networking and depression in high school students: behavioral physiology viewpoint. Psychiatr Danub 2012 Mar;24(1):90-93 [FREE Full text] [Medline]
    7. Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz JB, et al. Association Between Social Media Use and Depression Among U.S. Young Adults. Depress Anxiety 2016 Apr;33(4):323-331 [FREE Full text] [CrossRef] [Medline]
    8. McDougall MA, Walsh M, Wattier K, Knigge R, Miller L, Stevermer M, et al. The effect of social networking sites on the relationship between perceived social support and depression. Psychiatry Res 2016 Dec 30;246:223-229. [CrossRef] [Medline]
    9. Twenge JM, Campbell WK. Media Use Is Linked to Lower Psychological Well-Being: Evidence from Three Datasets. Psychiatr Q 2019 Jun;90(2):311-331. [CrossRef] [Medline]
    10. Sampasa-Kanyinga H, Lewis RF. Frequent Use of Social Networking Sites Is Associated with Poor Psychological Functioning Among Children and Adolescents. Cyberpsychol Behav Soc Netw 2015 Jul;18(7):380-385. [CrossRef] [Medline]
    11. Chen W, Lee K. Sharing, liking, commenting, and distressed? The pathway between Facebook interaction and psychological distress. Cyberpsychol Behav Soc Netw 2013 Oct;16(10):728-734. [CrossRef] [Medline]
    12. Stronge S, Mok T, Ejova A, Lee C, Zubielevitch E, Yogeeswaran K, et al. Social Media Use Is (Weakly) Related to Psychological Distress. Cyberpsychol Behav Soc Netw 2019 Sep 01;22(9):604-609. [CrossRef] [Medline]
    13. Ivie EJ, Pettitt A, Moses LJ, Allen NB. A meta-analysis of the association between adolescent social media use and depressive symptoms. J Affect Disord 2020 Oct 01;275:165-174. [CrossRef] [Medline]
    14. Nabi RL, Prestin A, So J. Facebook friends with (health) benefits? Exploring social network site use and perceptions of social support, stress, and well-being. Cyberpsychol Behav Soc Netw 2013 Oct;16(10):721-727. [CrossRef] [Medline]
    15. Campisi J, Folan D, Diehl G, Kable T, Rademeyer C. Social media users have different experiences, motivations, and quality of life. Psychiatry Res 2015 Aug 30;228(3):774-780. [CrossRef] [Medline]
    16. Bányai F, Zsila Á, Király O, Maraz A, Elekes Z, Griffiths MD, et al. Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample. PLoS One 2017 Jan 9;12(1):e0169839 [FREE Full text] [CrossRef] [Medline]
    17. Andreassen CS, Torsheim T, Brunborg GS, Pallesen S. Development of a Facebook Addiction Scale. Psychol Rep 2012 Apr;110(2):501-517. [CrossRef] [Medline]
    18. Schou Andreassen C, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, et al. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychol Addict Behav 2016 Mar;30(2):252-262. [CrossRef] [Medline]
    19. Hanprathet N, Manwong M, Khumsri J, Yingyeun R, Phanasathit M. Facebook Addiction and Its Relationship with Mental Health among Thai High School Students. J Med Assoc Thai 2015 Apr;98 Suppl 3:S81-S90. [Medline]
    20. Brailovskaia J, Schillack H, Margraf J. Facebook Addiction Disorder in Germany. Cyberpsychol Behav Soc Netw 2018 Jul;21(7):450-456. [CrossRef] [Medline]
    21. Jeri-Yabar A, Sanchez-Carbonel A, Tito K, Ramirez-delCastillo J, Torres-Alcantara A, Denegri D, et al. Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk? Int J Soc Psychiatry 2019 Feb 30;65(1):14-19. [CrossRef] [Medline]
    22. O'Reilly M, Dogra N, Whiteman N, Hughes J, Eruyar S, Reilly P. Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clin Child Psychol Psychiatry 2018 Oct 20;23(4):601-613. [CrossRef] [Medline]
    23. Cunningham S, Hudson CC, Harkness K. Social Media and Depression Symptoms: a Meta-Analysis. Res Child Adolesc Psychopathol 2021 Feb 06;49(2):241-253. [CrossRef] [Medline]
    24. Crone EA, Konijn EA. Media use and brain development during adolescence. Nat Commun 2018 Feb 21;9(1):588 [FREE Full text] [CrossRef] [Medline]
    25. Kircaburun K, Griffiths MD, Billieux J. Trait emotional intelligence and problematic online behaviors among adolescents: The mediating role of mindfulness, rumination, and depression. Personality and Individual Differences 2019 Mar;139:208-213. [CrossRef]
    26. Stockdale LA, Coyne SM. Bored and online: Reasons for using social media, problematic social networking site use, and behavioral outcomes across the transition from adolescence to emerging adulthood. J Adolesc 2020 Feb;79:173-183. [CrossRef] [Medline]
    27. Kormas G, Critselis E, Janikian M, Kafetzis D, Tsitsika A. Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: a cross-sectional study. BMC Public Health 2011 Jul 27;11:595 [FREE Full text] [CrossRef] [Medline]
    28. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 2009 Jul 21;6(7):e1000097 [FREE Full text] [CrossRef] [Medline]
    29. Herzog R, Álvarez-Pasquin MJ, Díaz C, Del Barrio JL, Estrada JM, Gil Á. Are healthcare workers' intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health 2013 Mar 19;13:154 [FREE Full text] [CrossRef] [Medline]
    30. Stata Statistical Software: Release 16. StataCorp LLC. 2019.   URL: https://www.stata.com/support/faqs/resources/citing-software-documentation-faqs/ [accessed 2020-11-08]
    31. Brailovskaia J, Truskauskaite-Kuneviciene I, Kazlauskas E, Margraf J. The patterns of problematic social media use (SMU) and their relationship with online flow, life satisfaction, depression, anxiety and stress symptoms in Lithuania and in Germany. Curr Psychol 2021 Apr 15:w. [CrossRef]
    32. Kim M, Oh J, Huh B. Analysis of Factors Related to Social Network Service Addiction Among Korean High School Students. J Addict Nurs 2020;31(3):203-212. [CrossRef] [Medline]
    33. Giordano AL, Prosek EA, Watson JC. Understanding Adolescent Cyberbullies: Exploring Social Media Addiction and Psychological Factors. Journal of Child and Adolescent Counseling 2021 Feb 03;7(1):42-55. [CrossRef]
    34. Holmgren HG, Coyne SM. Can’t stop scrolling!: pathological use of social networking sites in emerging adulthood. Addiction Research & Theory 2017 Mar 07;25(5):375-382 [FREE Full text] [CrossRef]
    35. Wang P, Wang X, Wu Y, Xie X, Wang X, Zhao F, et al. Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem. Personality and Individual Differences 2018 Jun;127:162-167. [CrossRef]
    36. Apaolaza V, Hartmann P, D'Souza C, Gilsanz A. Mindfulness, Compulsive Mobile Social Media Use, and Derived Stress: The Mediating Roles of Self-Esteem and Social Anxiety. Cyberpsychol Behav Soc Netw 2019 Jun;22(6):388-396. [CrossRef] [Medline]
    37. Hou X, Wang H, Hu T, Gentile DA, Gaskin J, Wang J. The relationship between perceived stress and problematic social networking site use among Chinese college students. J Behav Addict 2019 Jun 01;8(2):306-317 [FREE Full text] [CrossRef] [Medline]
    38. Mitra R, Rangaswamy DM. Excessive Social Media use and its Association with Depression and Rumination in an Indian Young Adult Population: A Mediation Model. Journal of Psychosocial Research 2019 Jul 25;14(1):223-231 [FREE Full text] [CrossRef]
    39. Chen Y, Li R, Zhang P, Liu X. The Moderating Role of State Attachment Anxiety and Avoidance Between Social Anxiety and Social Networking Sites Addiction. Psychol Rep 2020 Jun 06;123(3):633-647. [CrossRef] [Medline]
    40. Kircaburun K, Demetrovics Z, Király O, Griffiths MD. Childhood Emotional Trauma and Cyberbullying Perpetration Among Emerging Adults: A Multiple Mediation Model of the Role of Problematic Social Media Use and Psychopathology. Int J Ment Health Addiction 2018 May 23;18(3):548-566. [CrossRef]
    41. Kircaburun K, Griffiths MD, Şahin F, Bahtiyar M, Atmaca T, Tosuntaş Ş. The Mediating Role of Self/Everyday Creativity and Depression on the Relationship Between Creative Personality Traits and Problematic Social Media Use Among Emerging Adults. Int J Ment Health Addiction 2018 May 14;18(1):77-88. [CrossRef]
    42. Wong HY, Mo HY, Potenza MN, Chan MNM, Lau WM, Chui TK, et al. Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress. Int J Environ Res Public Health 2020 Mar 13;17(6):1879 [FREE Full text] [CrossRef] [Medline]
    43. Yıldız Durak H. Modeling of variables related to problematic internet usage and problematic social media usage in adolescents. Curr Psychol 2018 Apr 3;39(4):1375-1387. [CrossRef]
    44. He Z, Li M, Ma X, Liu C. Family Socioeconomic Status and Social Media Addiction in Female College Students: The Mediating Role of Impulsiveness and Inhibitory Control. J Genet Psychol 2021 Dec 09;182(1):60-74. [CrossRef] [Medline]
    45. Kılınçel S, Muratdağı G. Evaluation of factors affecting social media addiction in adolescents during the COVID-19 pandemic. Ann Clin Anal Med 2021;12(04):447-451. [CrossRef]
    46. Yoon S, Kleinman M, Mertz J, Brannick M. Is social network site usage related to depression? A meta-analysis of Facebook-depression relations. J Affect Disord 2019 Apr 01;248:65-72. [CrossRef] [Medline]
    47. Vahedi Z, Zannella L. The association between self-reported depressive symptoms and the use of social networking sites (SNS): A meta-analysis. Curr Psychol 2019 Jan 26;40(5):2174-2189 [FREE Full text] [CrossRef]
    48. Orben A. Teenagers, screens and social media: a narrative review of reviews and key studies. Soc Psychiatry Psychiatr Epidemiol 2020 Apr 10;55(4):407-414. [CrossRef] [Medline]
    49. Thorisdottir IE, Sigurvinsdottir R, Asgeirsdottir BB, Allegrante JP, Sigfusdottir ID. Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents. Cyberpsychol Behav Soc Netw 2019 Aug;22(8):535-542. [CrossRef] [Medline]
    50. Aalbers G, McNally RJ, Heeren A, de Wit S, Fried EI. Social media and depression symptoms: A network perspective. J Exp Psychol Gen 2019 Aug;148(8):1454-1462. [CrossRef] [Medline]
    51. Barry CT, Sidoti CL, Briggs SM, Reiter SR, Lindsey RA. Adolescent social media use and mental health from adolescent and parent perspectives. J Adolesc 2017 Dec;61:1-11. [CrossRef] [Medline]
    52. Marino C, Mazzieri E, Caselli G, Vieno A, Spada MM. Motives to use Facebook and problematic Facebook use in adolescents. J Behav Addict 2018 Jun 01;7(2):276-283 [FREE Full text] [CrossRef] [Medline]
    53. Orben A, Przybylski AK. Screens, Teens, and Psychological Well-Being: Evidence From Three Time-Use-Diary Studies. Psychol Sci 2019 May;30(5):682-696 [FREE Full text] [CrossRef] [Medline]
    54. Przybylski AK, Weinstein N. A Large-Scale Test of the Goldilocks Hypothesis. Psychol Sci 2017 Feb;28(2):204-215 [FREE Full text] [CrossRef] [Medline]
    55. Tsitsika AK, Tzavela EC, Janikian M, Ólafsson K, Iordache A, Schoenmakers TM, et al. Online social networking in adolescence: patterns of use in six European countries and links with psychosocial functioning. J Adolesc Health 2014 Jul;55(1):141-147. [CrossRef] [Medline]
    56. Banjanin N, Banjanin N, Dimitrijevic I, Pantic I. Relationship between internet use and depression: Focus on physiological mood oscillations, social networking and online addictive behavior. Computers in Human Behavior 2015 Feb;43:308-312. [CrossRef]
    57. Spies Shapiro LA, Margolin G. Growing up wired: social networking sites and adolescent psychosocial development. Clin Child Fam Psychol Rev 2014 Mar;17(1):1-18 [FREE Full text] [CrossRef] [Medline]
    58. Twenge JM, Joiner TE, Rogers ML, Martin GN. Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time. Clinical Psychological Science 2017 Nov 14;6(1):3-17. [CrossRef]
    59. Brooks S, Longstreet P. Social networking’s peril: Cognitive absorption, social networking usage, and depression. Cyberpsychology 2015 Dec 01;9(4):CP2015-4-5. [CrossRef]
    60. Lenhart A. Pew Research Center. 2015.   URL: https://www.pewresearch.org/internet/2015/04/09/teens-social-media-technology-2015/ [accessed 2022-03-30]
    61. Van Zalk N. Social anxiety moderates the links between excessive chatting and compulsive Internet use. Cyberpsychology 2016 Oct 01;10(3):CP2016-3-3. [CrossRef]
    62. Vuorre M, Orben A, Przybylski AK. There Is No Evidence That Associations Between Adolescents’ Digital Technology Engagement and Mental Health Problems Have Increased. Clinical Psychological Science 2021 May 03;9(5):823-835. [CrossRef]

    ‎
    PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses
    PROSPERO: Prospective Register of Systematic Reviews

    Edited by J Torous; submitted 08.09.21; peer-reviewed by A Daros, N van Zalk; comments to author 19.11.21; revised version received 01.02.22; accepted 05.02.22; published 14.04.22

    Copyright

    ©Holly Shannon, Katie Bush, Paul J Villeneuve, Kim GC Hellemans, Synthia Guimond. Originally published in JMIR Mental Health (https://mental.jmir.org), 14.04.2022.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.