Computers in Human Behavior · 2021 · 90 citations · 53 references
Public HealthHealth BehaviorHuman DevelopmentAdolescent DevelopmentAdolescent HealthBehavioral HealthAdolescent Behavioral HealthAdolescent PsychopathologySubstance UseAdolescent Mental HealthDrug Use By AdolescentsSocial Well-beingSubstance Use In AdolescenceThree-level ModelsWell-beingYouth Well-being
In the present study, we aimed to explore the relationship between intensity of social media use (SMU), problematic SMU and well-being outcomes. Four categories of SMU were developed taking into account both intensity of use and problematic SMU simultaneously: non-active; active; intense; and problematic use. Using these four categories, we assessed associations between SMU and mental and social well-being, and substance use. Data from 190,089 respondents aged 11, 13, and 15 years from 42 countries involved in the Health Behavior in School-aged Children (HBSC) study were analyzed. With a slight cross-national variance, 78% of adolescents in the sample were classified as active or intense users, and 7% showed signs of problematic SMU. The remaining 15% belonged to the non-active users. Three-level regression analyses revealed that the problematic users showed the least favorable mental and social well-being profile and the highest level of substance use. Compared with active users, non-active users reported lower mental and social well-being, but also the lowest substance use levels. Intense non-problematic users showed the highest levels of social well-being. Our findings highlight the importance of assessing both the intensity and problematic component of SMU to reliably assess associations with mental and social well-being and substance use.
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Statistical Power Analysis for the Behavioral Sciences
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