Top

Research on Child and Adolescent Psychopathology

Gepubliceerd in:

20-02-2024

Social Media Use as a Predictor of Positive and Negative Affect: An Ecological Momentary Assessment Study of Adolescents with and without Clinical Depression

Auteurs: Madison Politte-Corn, Lindsay Dickey, George Abitante, Samantha Pegg, Christian A. L. Bean, Autumn Kujawa

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 5/2024

Abstract

Social media use is common in adolescents, with implications for psychosocial development and the emergence of depression. Yet, little is known about the time-linked connections between social media use and adolescents’ affective experiences and how they may differ between depressed and non-depressed youth. We leveraged ecological momentary assessment in adolescents oversampled for current depression to examine (1) associations between social media use and concurrent and later positive and negative affect and (2) sex and presence of a depressive disorder as moderators of these associations. Adolescents aged 14–17 with (n = 48) and without (n = 97) clinical depression, as indicated via clinical interview, reported momentary social media use and positive and negative affect seven times per day for one week. Multilevel modeling indicated that social media use was associated with reduced positive affect both concurrently and at the next assessment. Further, among clinically depressed youth only, social media use was associated with reduced negative affect at the next assessment. Results suggest that social media use may reduce both positive and negative affect, highlighting the nuanced relation between adolescent social media use and emotional health and laying the groundwork for future research to address several open questions.

vorige artikel The Degree of Fluctuations in Maternal Depressive Symptoms in Early Childhood is Associated with Children’s Depression Risk: Initial Evidence and Replication Between Two Independent Samples

volgende artikel The Interplay of Peer Victimization and Parasympathetic Nervous System Activity on Acute Inflammatory Stress Responses in Adolescence

Alleen toegankelijk voor geautoriseerde gebruikers

Fifty participants received surveys between 6:25am and 10 pm. Due to a change in software, 95 participants were set on a different time zone and received surveys between 8:25am-12am, and we covaried for this time difference in analyses.

Using summed scores of PA and NA did not change the significance or direction of observed effects.

Participants who completed < 5 assessments (n = 8) were not included in analyses with this variable.

Abitante, G., Haraden, D. A., Pine, A., Cole, D., & Garber, J. (2022). Trajectories of positive and negative affect across adolescence: Maternal history of depression and adolescent sex as predictors. Journal of Affective Disorders, 315, 96–104. https://doi.org/10.1016/j.jad.2022.07.038CrossRefPubMedPubMedCentral

Allgood-Merten, B., Lewinsohn, P. M., & Hops, H. (1990). Sex differences and adolescent depression. Journal of Abnormal Psychology, 99, 55–63. https://doi.org/10.1037/0021-843X.99.1.55CrossRefPubMed

Beeres, D. T., Andersson, F., Vossen, H. G. M., & Galanti, M. R. (2021). Social media and mental health among early adolescents in Sweden: A longitudinal study with 2-year follow-up (KUPOL study). Journal of Adolescent Health, 68, 953–960. https://doi.org/10.1016/j.jadohealth.2020.07.042CrossRef

Boer, M., Stevens, G., Finkenauer, C., & Eijnden, R. V. D. (2022). The complex association between social media use intensity and adolescent wellbeing: A longitudinal investigation of five factors that may affect the association. Computers in Human Behavior, 128, 12. https://doi.org/10.1016/j.chb.2021.107084CrossRef

Brunborg, G. S., & Burdzovic Andreas, J. (2019). Increase in time spent on social media is associated with modest increase in depression, conduct problems, and episodic heavy drinking. Journal of Adolescence, 74, 201–209. https://doi.org/10.1016/j.adolescence.2019.06.013CrossRefPubMed

Bylsma, L. M., Taylor-Clift, A., & Rottenberg, J. (2011). Emotional reactivity to daily events in major and minor depression. Journal of Abnormal Psychology, 120, 155–167. https://doi.org/10.1037/a0021662CrossRefPubMed

Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100, 316.CrossRefPubMed

Clark, J. L., Algoe, S. B., & Green, M. C. (2018). Social network sites and well-being: The role of social connection. Current Directions in Psychological Science, 27, 32–37. https://doi.org/10.1177/0963721417730833CrossRef

Clark, K. A., Pachankis, J. E., Dougherty, L. R., Katz, B. A., Hill, K. E., Klein, D. N., & Kujawa, A. (2023). Adolescents’ sexual orientation and behavioral and neural reactivity to peer acceptance and rejection: The moderating role of family support. Advance online publication. https://doi.org/10.1177/21677026231158574CrossRef

Cole, D. A., Nick, E. A., Zelkowitz, R. L., Roeder, K. M., & Spinelli, T. (2017). Online social support for young people: Does it recapitulate in-person social support; Can it help? Computers in Human Behavior, 68, 456–464. https://doi.org/10.1016/j.chb.2016.11.058CrossRefPubMed

Cunningham, S., Hudson, C. C., & Harkness, K. (2021). Social media and depression symptoms: A meta-analysis. Research on Child and Adolescent Psychopathology, 49, 241–253. https://doi.org/10.1007/s10802-020-00715-7CrossRefPubMed

Dienlin, T., & Johannes, N. (2020). The impact of digital technology use on adolescent well-being. Dialogues in Clinical Neuroscience, 22, 135–142. https://doi.org/10.31887/DCNS.2020.22.2/tdienlinCrossRefPubMedPubMedCentral

Ebesutani, C., Regan, J., Smith, A., Reise, S., Higa-McMillan, C., & Chorpita, B. F. (2012). The 10-item Positive and Negative Affect Schedule for Children, child and parent shortened versions: Application of item response theory for more efficient assessment. Journal of Psychopathology and Behavioral Assessment, 34, 191–203. https://doi.org/10.1007/s10862-011-9273-2CrossRef

Frison, E., & Eggermont, S. (2016). Exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Social Science Computer Review, 34, 153–171. https://doi.org/10.1177/0894439314567449CrossRef

Ghaemi, S. N. (2020). Digital depression: A new disease of the millennium? Acta Psychiatrica Scandinavica, 141, 356–361. https://doi.org/10.1111/acps.13151CrossRefPubMed

Hamilton, J. L., Do, Q. B., Choukas-Bradley, S., Ladouceur, C. D., & Silk, J. S. (2021). Where it hurts the most: Peer interactions on social media and in person are differentially associated with emotional reactivity and sustained affect among adolescent girls. Research on Child and Adolescent Psychopathology, 49, 155–167. https://doi.org/10.1007/s10802-020-00725-5CrossRefPubMed

Hankin, B. L., Mermelstein, R., & Roesch, L. (2007). Sex differences in adolescent depression: Stress exposure and reactivity models. Child Development, 78, 279–295. https://doi.org/10.1111/j.1467-8624.2007.00997.xCrossRefPubMed

Hawkley, L. C., Preacher, K. J., & Cacioppo, J. T. (2007). Multilevel modeling of social interactions and mood in lonely and socially connected individuals: The MacArthur social neuroscience studies. In A. D. Ong & M. H. M. van Dulmen (Eds.), Oxford handbook of methods in positive psychology (pp. 559–575). Oxford University Press.

Heffer, T., Good, M., Daly, O., MacDonell, E., & Willoughby, T. (2019). The longitudinal association between social-media use and depressive symptoms among adolescents and young adults: An empirical reply to Twenge et al. (2018). Clinical Psychological Science, 7, 462–470. https://doi.org/10.1177/2167702618812727CrossRef

Hofmann, W., & Patel, P. V. (2015). SurveySignal: A convenient solution for experience sampling research using participants’ own smartphones. Social Science Computer Review, 33, 235–253. https://doi.org/10.1177/0894439314525117CrossRef

Ivie, E. J., Pettitt, A., Moses, L. J., & Allen, N. B. (2020). A meta-analysis of the association between adolescent social media use and depressive symptoms. Journal of Affective Disorders, 275, 165–174. https://doi.org/10.1016/j.jad.2020.06.014CrossRefPubMed

Janssen, L. H. C., Verkuil, B., van Houtum, L. A. E. M., Wever, M. C. M., & Elzinga, B. M. (2021). Perceptions of parenting in daily life: Adolescent-parent differences and associations with adolescent affect. Journal of Youth and Adolescence, 50, 2427–2443. https://doi.org/10.1007/s10964-021-01489-xCrossRefPubMedPubMedCentral

Joiner, T. E., & Lonigan, C. J. (2000). Tripartite model of depression and anxiety in youth psychiatric inpatients: Relations with diagnostic status and future symptoms. Journal of Clinical Child Psychology, 29, 372–382. https://doi.org/10.1207/S15374424JCCP2903_8CrossRefPubMed

Kaufman, J., Birmaher, B., Axelson, D., Perepletchikova, F., Brent, D., & Ryan, N. (2013). Schedule for affective disorders and schizophrenia for school-aged children present and lifetime version (K-SADS-PL). New Haven, CT: Advanced Center for Intervention and Services Resarch (ACISR) for Early Onset Mood and Anxiety Disorders. Western Psychiatric Institute and Clinic, Child and Adolescent Research and Education (CARE) Program, Yale University.

Kreski, N., Platt, J., Rutherford, C., Olfson, M., Odgers, C., Schulenberg, J., & Keyes, K. M. (2021). Social media use and depressive symptoms among United States adolescents. Journal of Adolescent Health, 68, 572–579. https://doi.org/10.1016/j.jadohealth.2020.07.006CrossRef

Kujawa, A., & Burkhouse, K. L. (2017). Vulnerability to depression in youth: Advances from affective neuroscience. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging, 2, 28–37. https://doi.org/10.1016/j.bpsc.2016.09.006CrossRefPubMedPubMedCentral

Kujawa, A., Klein, D. N., Pegg, S., & Weinberg, A. (2020). Developmental trajectories to reduced activation of positive valence systems: A review of biological and environmental contributions. Developmental Cognitive Neuroscience, 43, 100791. https://doi.org/10.1016/j.dcn.2020.100791CrossRefPubMedPubMedCentral

Lafit, G., Revol, J., Cloos, L., Kuppens, P., & Ceulemans, E. (2023). The effect of different operationalizations of affect and preprocessing choices on power-based sample size recommendations in intensive longitudinal research. PsyArXiv. https://doi.org/10.31234/osf.io/7msh6

Laurent, J., Catanzaro, S. J., Joiner, T. E., Jr., Rudolph, K. D., Potter, K. I., Lambert, S., Osborne, L., & Gathright, T. (1999). A measure of positive and negative affect for children: Scale development and preliminary validation. Psychological Assessment, 11, 326–338. https://doi.org/10.1037/1040-3590.11.3.326CrossRef

Lindahl, M., & Archer, T. (2013). Depressive expression and anti-depressive protection in adolescence: Stress, positive affect, motivation, and self-efficacy. Psychology, 4, 495–505. https://doi.org/10.4236/psych.2013.46070CrossRef

Miljeteig, K., & von Soest, T. (2022). An experience sampling study on the association between social media use and self-esteem. Journal of Media Psychology: Theories, Methods, and Applications. Advance online publication. https://doi.org/10.1027/1864-1105/a000333

Mlawer, F., Hubbard, J. A., Bookhout, M. K., & Moore, C. C. (2021). Levels and instability of daily self-esteem in adolescents: Relations to depressive and anxious symptoms. Research on Child and Adolescent Psychopathology, 49, 1083–1095. https://doi.org/10.1007/s10802-021-00802-3CrossRefPubMed

Nesi, J., & Prinstein, M. J. (2015). Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. Journal of Abnormal Child Psychology, 43, 1427–1438. https://doi.org/10.1007/s10802-015-0020-0CrossRefPubMedPubMedCentral

Nesi, J., Rothenberg, W. A., Bettis, A. H., Massing-Schaffer, M., Fox, K. A., Telzer, E. H., Lindquist, K. A., & Prinstein, M. J. (2022). Emotional responses to social media experiences among adolescents: Longitudinal associations with depressive symptoms. Journal of Clinical Child and Adolescent Psychology, 51, 907–922. https://doi.org/10.1080/15374416.2021.1955370CrossRefPubMed

Nick, E. A., Cole, D. A., Cho, S. J., Smith, D. K., Carter, T. G., & Zelkowitz, R. L. (2018). The Online Social Support Scale: Measure development and validation. Psychological Assessment, 30, 1127–1143. https://doi.org/10.1037/pas0000558CrossRefPubMedPubMedCentral

Ohannessian, C. M. C., Fagle, T., & Salafia, C. (2021). Social media use and internalizing symptoms during early adolescence: The role of co-rumination. Journal of Affective Disorders, 280, 85–88. https://doi.org/10.1016/j.jad.2020.10.079CrossRefPubMed

Pagliaccio, D., Kumar, P., Kamath, R. A., Pizzagalli, D. A., & Auerbach, R. P. (2022). Neural sensitivity to peer feedback and depression symptoms in adolescents: A 2‐year multiwave longitudinal study. Journal of Child Psychology and Psychiatry. Advance online publication. https://doi.org/10.1111/jcpp.13690

Peugh, J. L., & Enders, C. K. (2004). Missing data in educational research: A review of reporting practices and suggestions for improvement. Review of Educational Research, 74, 525–556. https://doi.org/10.3102/00346543074004525CrossRef

Pinheiro J., Bates, D., DebRoy, S., Sarkar, D., & R Core Team. (2020). nlme: Linear and Nonlinear Mixed Effects Models. (R package version 3.1–149) [Computer software]. https://CRAN.R-project.org/package=nlme

Piotrowski, J. T., & Valkenburg, P. M. (2015). Finding orchids in a field of dandelions: Understanding children’s differential susceptibility to media effects. American Behavioral Scientist, 59, 1776–1789. https://doi.org/10.1177/0002764215596552CrossRef

Politte-Corn, M., Nick, E. A., & Kujawa, A. (2023). Age-related differences in social media use, online social support, and depressive symptoms in adolescents and emerging adults. Child and Adolescent Mental Health. https://doi.org/10.1111/camh.12640.Advanceonlinepublication.10.1111/camh.12640CrossRefPubMed

Rideout, V., Peebles, A., Mann, S., & Robb, M. B. (2022). Common Sense census: Media use by tweens and teens, 2021. Common Sense.

Schemer, C., Masur, P. K., Geiß, S., Müller, P., & Schäfer, S. (2020). The impact of internet and social media use on well-being: A longitudinal analysis of adolescents across nine years. Journal of Computer-Mediated Communication, 26, 1–21. https://doi.org/10.1093/jcmc/zmaa014CrossRef

Shafi, R. M. A., Nakonezny, P. A., Miller, K. A., Desai, J., Almorsy, A. G., Ligezka, A. N., Morath, B. A., Romanowicz, M., & Croarkin, P. E. (2021a). An exploratory study of clinical and physiological correlates of problematic social media use in adolescents. Psychiatry Research, 302, 6. https://doi.org/10.1016/j.psychres.2021.114020CrossRef

Shafi, R. M. A., Nakonezny, P. A., Miller, K. A., Desai, J., Almorsy, A. G., Ligezka, A. N., Morath, B. A., Romanowicz, M., & Croarkin, P. E. (2021b). Altered markers of stress in depressed adolescents after acute social media use. Journal of Psychiatric Research, 136, 149–156. https://doi.org/10.1016/j.jpsychires.2021.01.055CrossRefPubMedPubMedCentral

Snijders, T. A., & Bosker, R. J. (2011). Multilevel analysis: An introduction to basic and advanced multilevel modeling (2nd ed.). SAGE.

Tao, X., & Fisher, C. B. (2022). Exposure to social media racial discrimination and mental health among adolescents of color. Journal of Youth and Adolescence, 51, 30–44. https://doi.org/10.1007/s10964-021-01514-zCrossRefPubMed

Thomas, A., Jing, M., Chen, H., & Crawford, E. L. (2023). Taking the good with the bad?: Social media and online racial discrimination influences on psychological and academic functioning in Black and Hispanic youth. Journal of Youth and Adolescence, 52, 245–257. https://doi.org/10.1007/s10964-022-01689-zCrossRefPubMed

Trull, T. J., & Ebner-Priemer, U. W. (2020). Ambulatory assessment in psychopathology research: A review of recommended reporting guidelines and current practices. Journal of Abnormal Psychology, 129, 56–63. https://doi.org/10.1037/abn0000473CrossRefPubMed

Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). 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, 6, 3–17. https://doi.org/10.1177/2167702617723376CrossRef

Valkenburg, P. M., & Peter, J. (2011). Online communication among adolescents: An integrated model of its attraction, opportunities, and risks. The Journal of Adolescent Health: Official Publication of the Society for Adolescent Medicine, 48, 121–127. https://doi.org/10.1016/j.jadohealth.2010.08.020CrossRefPubMed

Valkenburg, P. M., Pouwels, J. L., Beyens, I., van Driel, I. I., & Keijsers, L. (2021). Adolescents’ social media experiences and their self-esteem: A person-specific susceptibility perspective. Technology, Mind, and Behavior, 2. https://doi.org/10.1037/tmb0000037

Titel: Social Media Use as a Predictor of Positive and Negative Affect: An Ecological Momentary Assessment Study of Adolescents with and without Clinical Depression
Auteurs: Madison Politte-Corn
Lindsay Dickey
George Abitante
Samantha Pegg
Christian A. L. Bean
Autumn Kujawa
Publicatiedatum: 20-02-2024
Uitgeverij: Springer US
Gepubliceerd in: Research on Child and Adolescent Psychopathology / Uitgave 5/2024
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI: https://doi.org/10.1007/s10802-024-01177-x

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 5/2024

Comparing the Predictive Utility of Parent and Teacher Reports of Externalizing Behaviors on Concurrent Academic Achievement in Preschool-Aged Children

Does Anxiety Systematically Bias Estimates of Executive Functioning Deficits in Pediatric Attention-Deficit/Hyperactivity Disorder?

The Degree of Fluctuations in Maternal Depressive Symptoms in Early Childhood is Associated with Children’s Depression Risk: Initial Evidence and Replication Between Two Independent Samples

Callous-Unemotional Traits and Co-occurring Anxiety in Preschool and School-age Children: Investigation of Associations with Family’s Socioeconomic Status and Home Chaos

Subtypes of Depressed Youth Admitted for Inpatient Psychiatric Care: A Latent Profile Analysis

Assessing the Longitudinal Associations Between Decision-Making Processes and Attention Problems in Early Adolescence