RESUMO
Background: Mental health is integral to public health in adolescents. Although previous studies have shown that low socioeconomic status (SES) is associated with mental disorders (MD), it is unclear which mental health domains are most important. Thus, our study aimed to investigate the associations between 5 domains of mental disorder and SES inequality in adolescents. Methods: We conducted a cross-sectional study among adolescents (N = 1724). Associations between SES inequality with mental disorders, such as emotional symptoms, conduct problems, hyperactivity, peer relationship problems, and prosocial behavior, were examined. We used the concentration index (CI) to determine inequality. The gap between the low and high socioeconomic groups was decomposed into its determinants using the Blinder-Oaxaca decomposition method. Results: Mental health's overall CI was -0.085 (P Ë 0.001). The emotional problem was primarily caused by SES inequality (-0.094 [P = 0.004]). Decomposition of the gap between the 2 economic groups showed that physical activity, school performance, exercise, parents' smoking status, and gender were the most important determinants of inequality. Conclusion: SES inequality plays a vital role in adolescents' mental health. It seems that the emotional problem domain of mental health might be more amenable to interventions than other domains.
RESUMO
Background: The substantial increasing trend of binge drinking is a global alarm. Our aim was to undertake a systematic review and meta-analysis of cross-sectional studies to explore the association of current smoking with binge drinking among adults. Methods: We systematically searched Web of Knowledge; PubMed; Scopus; Embase and Ovid (MEDLINE, EMBASE, PsycARTICLES, PsycINFO, PsycEXTRA, and PsycTests) (from inception to 27 May 2020) databases to identify cross-sectional studies of the association between current smoking and binge drinking. Study screening, data extraction, and methodological quality assessment were all carried out by two independent authors. Adjusted odds ratio (AOR) was pooled with 95% confidence intervals (CI) using random effects model in the meta-analysis, followed by the investigation of the heterogeneity via Q-test and I 2 statistic. We assessed publication bias using a funnel plot, the Egger's, and Begg's tests. Results: We identified 3,171 studies and included nine cross-sectional studies with 64,516 participants. A significant association was found between current smoking and binge drinking among both genders (AOR = 2.97; 95% CI = 1.98 to 4.45; I 2 = 90.5%). Subgroup analysis showed that this association among women, men, Caucasians, and Asians/Africans were (AOR = 3.68; 95% CI = 1.03 to 13.18; I 2 = 98.9%), (AOR = 2.53; 95% CI = 1.87 to 3.42; I 2 = 73.1%), (AOR = 1.36; 95% CI: 1.01-1.83, I 2 = 47.4%), and (AOR = 3.93; 95% CI: 2.99-5.17, I 2 = 61.3%), respectively. There was no evidence of publication bias. Conclusion: Current smoking is associated with binge drinking and can be used for identifying and screening binge drinkers. Moreover, this association is stronger among men, and Asians/Africans. This meta-analysis estimation was limited to English-language studies, and the full text of about 3.5% of reports for retrieval was not found, then generalization of the results should be done with caution.