Adolescents and Social Media: Longitudinal Links Between Motivations for Using Social Media and Subsequent Internalizing Symptoms.
Adolescents
Anxiety
Depression
Motivations
Personality
Social media
Journal
Journal of youth and adolescence
ISSN: 1573-6601
Titre abrégé: J Youth Adolesc
Pays: United States
ID NLM: 0333507
Informations de publication
Date de publication:
09 Oct 2024
09 Oct 2024
Historique:
received:
15
06
2024
accepted:
26
09
2024
medline:
10
10
2024
pubmed:
10
10
2024
entrez:
9
10
2024
Statut:
aheadofprint
Résumé
Knowledge is lacking on whether adolescents' motivations for social media use predict internalizing symptoms, and few studies have considered the moderating role of extraversion. In 2017 (T1) and 2018 (T2), 197 adolescents (49.70% girls, M
Identifiants
pubmed: 39384664
doi: 10.1007/s10964-024-02097-1
pii: 10.1007/s10964-024-02097-1
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Références
Amiel, T., & Sargent, S. L. (2004). Individual differences in Internet usage motives. Computers in Human Behavior, 20(6), 711–726.
doi: 10.1016/j.chb.2004.09.002
Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252–262. https://doi.org/10.1037/adb0000160 .
doi: 10.1037/adb0000160
Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a Facebook addiction scale. Psychological Reports, 110(2), 501–517.
doi: 10.2466/02.09.18.PR0.110.2.501-517
pubmed: 22662404
Askari, M. S., Rutherford, C. G., Mauro, P. M., Kreski, N. T. & Keyes, K. M. (2022). Structure and trends of externalizing and internalizing psychiatric symptoms and gender differences among adolescents in the US from 1991 to 2018. Social Psychiatry and Psychiatric Epidemiology, 57(4), 737–748. https://doi.org/10.1007/s00127-021-02189-4 .
doi: 10.1007/s00127-021-02189-4
pubmed: 34773140
Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model. Mplus Web Notes, 21(2), 1–22.
Barker, V. (2009). Older adolescents’ motivations for social network site use: The influence of gender, group identity, and collective self-esteem. CyberPsychology & Behavior, 12(2), 209–213.
doi: 10.1089/cpb.2008.0228
Bowden-Green, T., Hinds, J., & Joinson, A. (2020). How is extraversion related to social media use? A literature review. Personality and Individual Differences, 164, 110040 https://doi.org/10.1016/j.paid.2020.110040 .
doi: 10.1016/j.paid.2020.110040
Bolck, A., Croon, M. & & Hagenaars, J. (2004). Estimating latent structure models with categorical variables: One-step versus three-step estimators. Political analysis, 12(1), 3–27.
doi: 10.1093/pan/mph001
Brailovskaia, J., Schillack, H., & Margraf, J. (2020). Tell me why are you using social media (SM)! Relationship between reasons for use of SM, SM flow, daily stress, depression, anxiety, and addictive SM use–An exploratory investigation of young adults in Germany. Computers in Human Behavior, 113, 106511.
doi: 10.1016/j.chb.2020.106511
Brandtzæg, P. B., & Heim, J. (2009). Why people use social networking sites. In Ozok, A.A, Zaphiris, P. (eds) Online Communities and Social Computing. OCSC 2009. Lecture Notes in Computer Science, vol 5621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02774-1_16
Campisi, J., Folan, D., Diehl, G., Kable, T., & Rademeyer, C. (2015). Social media users have different experiences, motivations, and quality of life. Psychiatry Research, 228(3), 774–780.
doi: 10.1016/j.psychres.2015.04.042
pubmed: 26054935
Carver, C. S., & Connor-Smith, J. (2010). Personality and coping. Annual Review of Psychology, 61(1), 679–704.
doi: 10.1146/annurev.psych.093008.100352
pubmed: 19572784
Charrois, J., Côté, S. M., Japel, C., Séguin, J. R., Paquin, S., Tremblay, R. E., & Herba, C. M. (2017). Child‐care quality moderates the association between maternal depression and children’s behavioural outcome. Journal of Child Psychology and Psychiatry, 58(11), 1210–1218. https://doi.org/10.1111/jcpp.12764 .
doi: 10.1111/jcpp.12764
pubmed: 28677114
Claes, M. (2003). L’univers social des adolescents. Presses de l’Université de Montréal. https://doi.org/10.4000/books.pum.13729
Clark, S. L., & Muthén, B. (2009). Relating latent class analysis results to variables not included in the analysis. Statmodel. https://www.statmodel.com/download/relatinglca.pdf .
Coco, G. L., Maiorana, A., Mirisola, A., Salerno, L., Boca, S., & Profita, G. (2018). Empirically-derived subgroups of Facebook users and their association with personality characteristics: a Latent Class Analysis. Computers in Human Behavior, 86, 190–198.
doi: 10.1016/j.chb.2018.04.044
Côté, S. M., Mongeau, C., Japel, C., Xu, Q., Séguin, J. R., & Tremblay, R. E. (2013). Child care quality and cognitive development: Trajectories leading to better preacademic skills. Child Development, 84(2), 752–766.
doi: 10.1111/cdev.12007
pubmed: 23083205
Deci, E. L., & Ryan, R. M. (2004). Handbook of self-determination research. University Rochester Press.
Deci, E. L., & Ryan, R. M. (2008). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology/Psychologie canadienne, 49(1), 14.
doi: 10.1037/0708-5591.49.1.14
Durbeej, N., Sörman, K., Norén Selinus, E., Lundström, S., Lichtenstein, P., Hellner, C., & Halldner, L. (2019). Trends in childhood and adolescent internalizing symptoms: results from Swedish population based twin cohorts. BMC Psychology, 7(1), 1–10.
doi: 10.1186/s40359-019-0326-8
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer‐Mediated Communication, 12(4), 1143–1168.
doi: 10.1111/j.1083-6101.2007.00367.x
Gao, W., Wei, J., Li, Y., Wang, D., & Fang, L. (2023). Motivations for social network site use and users’ well-being: mediation of perceived social support, positive self-presentation and honest self-presentation. Aslib Journal of Information Management, 75(1), 171–191. https://doi.org/10.1108/AJIM-08-2021-0224 .
doi: 10.1108/AJIM-08-2021-0224
Geoffroy, M. C., Boivin, M., Arseneault, L., Turecki, G., Vitaro, F., Brendgen, M., & Côté, S. M. (2016). Associations between peer victimization and suicidal ideation and suicide attempt during adolescence: Results from a prospective population-based birth cohort. Journal of the American Academy of Child & Adolescent Psychiatry, 55(2), 99–105.
doi: 10.1016/j.jaac.2015.11.010
Gingras, M. P., Brendgen, M., Beauchamp, M. H., Séguin, J. R., Tremblay, R. E., Côté, S. M., & Herba, C. M. (2023). Adolescents and social media: longitudinal links between types of use, problematic use and internalizing symptoms. Research on Child and Adolescent Psychopathology, 51(11), 1641–1655.
doi: 10.1007/s10802-023-01084-7
pubmed: 37294375
Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197.
doi: 10.1080/14659890500114359
Griffiths, M. D., Kuss, D. J., & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In Behavioral addictions. Elsevier.
Gupta, M. & Sharma, A. (2021). Fear of missing out: A brief overview of origin,theoretical underpinnings and relationship with mental health. World journal of clinical cases, 9(19), 4881–4889. https://doi.org/10.12998/wjcc.v9.i19.4881 .
doi: 10.12998/wjcc.v9.i19.4881
pubmed: 34307542
pmcid: 8283615
Howard, M. C., & Hoffman, M. E. (2018). Variable-centered, person-centered, and person-specific approaches: Where theory meets the method. Organizational Research Methods, 21(4), 846–876.
doi: 10.1177/1094428117744021
Jarman, H. K., Marques, M. D., McLean, S. A., Slater, A. & Paxton, S. J. (2021). Motivations for social media use: Associations with social media engagement and body satisfaction and well-being among adolescents. Journal of Youth and Adolescence, 50, 2279–2293. https://doi.org/10.1007/s10964-020-01390-z .
doi: 10.1007/s10964-020-01390-z
pubmed: 33475925
John, O., Donahue, E., & Kentle, R. (1991). The “Big Five” Inventory—Versions 4a and 54 (Tech. Rep., Institute of Personality Assessment and Research). Berkeley: University of California, Berkeley.
John, O. P. (2021). History, measurement, and conceptual elaboration of the Big-Five trait taxonomy: The paradigm matures. In O. P. John & R. W. Robins (Eds.), Handbook of personality: theory and research (4th ed., pp. 35–82). Guilford Publications.
Kovacs, M. (2003). Children’s Depression Inventory (CDI). Technical manual update. North Tonawanda, NY: Multi-Health Systems.
Krasnova, H., Veltri, N. F., Eling, N., & Buxmann, P. (2017). Why men and women continue to use social networking sites: The role of gender differences. The Journal of Strategic Information Systems, 26(4), 261–284.
doi: 10.1016/j.jsis.2017.01.004
Kross, E., Verduyn, P., Sheppes, G., Costello, C. K., Jonides, J., & Ybarra, O. (2021). Social media and well-being: Pitfalls, progress, and next steps. Trends in Cognitive Sciences, 25(1), 55–66. https://doi.org/10.1016/j.tics.2020.10.005 .
doi: 10.1016/j.tics.2020.10.005
pubmed: 33187873
Leys, C., Ley, C., Klein, O., Bernard, P., & Licata, L. (2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. Journal of Experimental Social Psychology, 49(4), 764–766.
doi: 10.1016/j.jesp.2013.03.013
Little, R. J. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83(404), 1198–1202.
doi: 10.1080/01621459.1988.10478722
Madden, M., Lenhart, A., Cortesi, S., Gasser, U., Duggan, M., Smith, A., & Beaton, M. (2013). Teens, social media, and privacy. Retrieved from https://www.pewresearch.org/internet/2013/05/21/teens-social-media-and-privacy/ .
Mascheretti, S., Forni, D., Lampis, V., Fumagalli, L., Paquin, S., Andlauer, T. F., & Battaglia, M. (2023). Adolescent anxiety and pain problems: A joint, genome-wide investigation and pathway-based analysis. PLoS ONE, 18(5), e0285263.
doi: 10.1371/journal.pone.0285263
pubmed: 37146008
pmcid: 10162554
Masi, L., Herba, C., & Garel, P. (2019). Projet pilote: Exploration de l’utilisation d’Internet et des médias sociaux chez un groupe d’adolescents ayant participé à Espace Transition. Annales Médico-psychologiques, revue psychiatrique, 177(4), 319–326. https://doi.org/10.1016/j.amp.2018.04.009 .
doi: 10.1016/j.amp.2018.04.009
Meier, A., & Reinecke, L. (2020). Computer-mediated communication, social media, and mental health: A conceptual and empirical meta-review. Communication Research, 48(8), 1182–1209. https://doi.org/10.1177/0093650220958224 .
doi: 10.1177/0093650220958224
Morizot, J. (2014). Construct validity of adolescents’ self-reported big five personality traits: Importance of conceptual breadth and initial validation of a short measure. Assessment, 21(5), 580–606.
doi: 10.1177/1073191114524015
pubmed: 24619971
Muthén, L. K., & Muthén, B. O. (2017). MPLUS (Version 8.3). [Computer software]. Los Angeles, CA:Author.
Odgers, C. L., & Jensen, M. R. (2020). Annual research review: Adolescent mental health in the digital age: Facts, fears, and future directions. Journal of Child Psychology and Psychiatry, 61(3), 336–348. https://doi.org/10.1111/jcpp.13190 .
doi: 10.1111/jcpp.13190
pubmed: 31951670
Pertegal, M.-Á., Oliva, A., & Rodríguez-Meirinhos, A. (2019). Development and validation of the Scale of Motives for Using Social Networking Sites (SMU-SNS) for adolescents and youths. PLoS ONE, 14(12), e0225781.
doi: 10.1371/journal.pone.0225781
pubmed: 31794593
pmcid: 6890241
Perugini, M. L. L., & Solano, A. C. (2021). Normal and maladaptive personality traits as predictors of motives for social media use and its effects on well-being. Psychological Reports, 124(3), 1070–1092. https://doi.org/10.1177/0033294120922495 .
doi: 10.1177/0033294120922495
pubmed: 32375534
Quan-Haase, A., & Young, A. L. (2010). Uses and gratifications of social media: A comparison of Facebook and instant messaging. Bulletin of Science, Technology & Society, 30(5), 350–361.
doi: 10.1177/0270467610380009
Rae, J. R., & Lonborg, S. D. (2015). Do motivations for using Facebook moderate the association between Facebook use and psychological well-being? Frontiers in Psychology, 6, 771.
doi: 10.3389/fpsyg.2015.00771
pubmed: 26124733
pmcid: 4464203
Reynolds, C. R., & Richmond, B. O. (2008). Revised children’s manifest anxiety scale–second edition (RCMAS-2): manual. Los Angeles, CA: Western Psychological Services.
Rose, A. J., & Rudolph, K. D. (2006). A review of sex differences in peer relationship processes: Potential trade-offs for the emotional and behavioral development of girls and boys. Psychological Bulletin, 132(1), 98–131. https://doi.org/10.1037/0033-2909.132.1.98 .
doi: 10.1037/0033-2909.132.1.98
pubmed: 16435959
pmcid: 3160171
Spinhoven, P., Elzinga, B. M., van Hemert, A. M., de Rooij, M., & Penninx, B. W. (2014). A longitudinal study of facets of extraversion in depression and social anxiety. Personality and Individual Differences, 71, 39–44.
doi: 10.1016/j.paid.2014.07.014
Stronge, S., Osborne, D., West-Newman, T., Milojev, P., Greaves, L. M., Sibley, C. G. & Wilson, M. S. (2015). The Facebook feedback hypothesis of personality and social belonging. New Zealand Journal of Psychology, 44(2), 4–13.
Teppers, E., Luyckx, K., Klimstra, T. A., & Goossens, L. (2014). Loneliness and Facebook motives in adolescence: A longitudinal inquiry into directionality of effect. Journal of Adolescence, 37(5), 691–699.
doi: 10.1016/j.adolescence.2013.11.003
pubmed: 24321573
Valkenburg, P. M., Meier, A., & Beyens, I. (2022). Social media use and its impact on adolescent mental health: An umbrella review of the evidence. Current Opinion in Psychology, 44, 58–68. https://doi.org/10.1016/j.copsyc.2021.08.017 .
doi: 10.1016/j.copsyc.2021.08.017
pubmed: 34563980
Valkenburg, P. M., & Peter, J. (2013). The differential susceptibility to media effects model. Journal of Communication, 63(2), 221–243.
doi: 10.1111/jcom.12024
Vermunt, J. K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18(4), 450–469.
doi: 10.1093/pan/mpq025
Vidal, C., Lhaksampa, T., Miller, L., & Platt, R. (2020). Social media use and depression in adolescents: a scoping review. International Review of Psychiatry, 32(3), 235–253.
doi: 10.1080/09540261.2020.1720623
pubmed: 32065542
Weybright, E. H., Schulenberg, J., & Caldwell, L. L. (2020). More bored today than yesterday? National trends in adolescent boredom from 2008 to 2017. Journal of Adolescent Health, 66(3), 360–365.
doi: 10.1016/j.jadohealth.2019.09.021
Whiting, A. & Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369.
doi: 10.1108/QMR-06-2013-0041
Yang, C.-C., & Brown, B. B. (2013). Motives for using Facebook, patterns of Facebook activities, and late adolescents’ social adjustment to college. Journal of Youth and Adolescence, 42(3), 403–416.
doi: 10.1007/s10964-012-9836-x
pubmed: 23076768
Yang, C.-C., Holden, S. M., & Ariati, J. (2021). Social media and psychological well-being among youth: The multidimensional model of social media use. Clinical Child and Family Psychology Review, 24(3), 631–650.
doi: 10.1007/s10567-021-00359-z
pubmed: 34169391