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Gepubliceerd in: Journal of Youth and Adolescence 8/2019

29-06-2019 | Empirical Research

Social Media Use Subgroups Differentially Predict Psychosocial Well-Being During Early Adolescence

Auteurs: Anna Vannucci, Christine McCauley Ohannessian

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 8/2019

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Abstract

Despite the salience of the social media context to psychosocial development, little is known about social media use patterns and how they relate to psychological and social functioning over time during early adolescence. This longitudinal study, therefore, identified subgroups of early adolescents based on their social media use and examined whether these subgroups predicted psychosocial functioning. Adolescents (N = 1205; 11–14 years; 51% female; 51% white) completed surveys at baseline and a six-month follow-up. There were three social media use subgroups at baseline: high overall social media use (8%); high Instagram/Snapchat use (53%); and low overall social media use (39%). The high social media use subgroup predicted higher depressive symptoms, panic disorder symptoms, delinquent behaviors, family conflict, as well as lower family and friend support, than the High-Instagram/Snapchat and low social media use subgroups. The high Instagram/Snapchat use subgroup predicted higher delinquent behaviors and school avoidance than the low social media use subgroup, but also higher close friendship competence and friend support as compared to both the high social media use and low social media use subgroups. Social media use patterns appear to differentially predict psychosocial adjustment during early adolescence, with high social media use being the most problematic and patterns of high Instagram/Snapchat use and low social media use having distinct developmental tradeoffs.
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1
The most parsimonious number of latent classes was evaluated by examining the following fit indices: the Bayesian information criterion (BIC), the sample size adjusted BIC (aBIC), the consistent Akaike information criterion (cAIC), and the Lo-Mendell-Rubin likelihood ratio-based test (LMR-LRT). Classification accuracy also was examined using the entropy value and the average posterior probabilities.
 
2
There were no differences in T1 race/ethnicity, perceived socioeconomic status, social media use, and psychosocial variables when comparing adolescents who participated in both T1 and T2 with those who did not participate in T2 (ps > 0.05). There were small differences with regard to age and gender (ps < 0.05). Adolescents who completed both surveys were younger (Completed T1 and T2: Mage = 12.73, SD = 0.67 vs. Missing T2: Mage = 12.95, SD = 0.78; d = 0.30) and more likely to be girls than boys (Completed T1 and T2: 57% girls vs. Missing T2: 51% girls; ϕ = 0.08).
 
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Metagegevens
Titel
Social Media Use Subgroups Differentially Predict Psychosocial Well-Being During Early Adolescence
Auteurs
Anna Vannucci
Christine McCauley Ohannessian
Publicatiedatum
29-06-2019
Uitgeverij
Springer US
Gepubliceerd in
Journal of Youth and Adolescence / Uitgave 8/2019
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI
https://doi.org/10.1007/s10964-019-01060-9

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