社会联系
心理学
社交焦虑
焦虑
苦恼
上瘾
临床心理学
多级模型
心理健康
发展心理学
精神科
社会心理学
计算机科学
机器学习
作者
Joshua C. Watson,Elizabeth A. Prosek,Amanda L. Giordano
标识
DOI:10.1177/07342829211050536
摘要
This study aimed to explore the effects of mattering, social media addiction, online activity, school connectedness, age, and gender on anxiety/depressive symptomatology among U.S. adolescents. A nationally representative Qualtrics panel sample consisting of 441 adolescents ( M age = 17.3; SD age = 1.67) participated in this study. The results of a three-step hierarchical multiple regression analysis indicated that gender, social media usage, and mattering were most strongly associated with adolescent distress (i.e., anxiety/depressive symptom reporting). For the full predictive model with all six predictors added, mattering was found to significantly improve the prediction of adolescents’ anxiety/depressive symptomatology, contributing an additional 12.8% of explained variance. For this sample, adolescent girls participants reported experiencing more anxiety/depressive symptoms. Furthermore, higher levels of social media usage, indicative of an addictive stage, and lower levels of mattering were related to more significant anxiety/depressive symptomatology. Overall, mattering was found to significantly correlate with adolescent distress, online activity, problematic social media usage, and school connectedness, evidencing its importance in addressing adolescent mental health.
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