Overweight was associated with using information and communication technology (ICT), but only with certain forms of ICT. Increased use of ICT may be one factor explaining the increased prevalence of overweight and obesity at the population level, at least in girls. Playing digital games was not related to overweight, perhaps by virtue of game playing being less sedentary or related to a different lifestyle than viewing television and using computer.
The adolescent drinking amount self-reports seem reasonably reliable and valid both on a population and individual level. A set of closed questions may capture the amount drunk even better than an open question.
Based on a conceptual model of well-being in school, this study was aimed at exploring factors associated with schoolchildren's general subjective well-being. Classroom data for the School Health Promotion Survey were gathered in 1998 (n = 39 886) and in 1999 (n = 47 455) among eighth and ninth graders (aged 14.3-16.2 years) from 458 secondary schools in different parts of Finland. The dependent variable was the General Subjective Well-being Indicator (GSWI), based on the Raitasalo-modified 13-item Beck Depression Inventory. The independent variables (total 56) included background (grade, socioeconomic status, social cohesion, recreation and health behaviors) and school context (school conditions, social relationships, means for self-fulfillment and health status). The analysis utilized multivariate linear regression modeling. The final model accounted for 22% of boys' and 25% of girls' GSW variation. 'Means for self-fulfillment' (R2 = 0.11 boys, R2 = 0.15 girls), and social relationships in school (R2 = 0.09 boys, R2 = 0.10 girls) and outside school (R2 = 0.09 boys, R2 = 0.11 girls) were the categories showing the strongest correlations with GSW. Grade and socioeconomic status showed only a weak correlation with GSW (R2 = 0.01) among both genders. The study indicated that the school context has a major influence on pupils' general subjective well-being.
Early interventions for adolescent substance use and a set of specific psychosocial risk factors should be tailored and evaluated as methods for identifying those at high risk of and preventing excessive alcohol use in adulthood.
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