Social Media Use Subgroups Differentially Predict Psychosocial Well-Being During Early Adolescence
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...
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Veröffentlicht in: | Journal of youth and adolescence 2019-08, Vol.48 (8), p.1469-1493 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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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ISSN: | 0047-2891 1573-6601 |
DOI: | 10.1007/s10964-019-01060-9 |