High-risk health behaviors predict depression among school-going adolescents: the need for integration of mental health with school health program in India

J Community Psychol. 2021 Aug;49(6):1891-1903. doi: 10.1002/jcop.22627. Epub 2021 Jun 1.

Abstract

Our objective was to estimate the prevalence of depression and to determine whether high-risk health behaviors were associated with it among school-going adolescents, thereby assessing the need to integrate mental health services with the school health program. We conducted a cross-sectional study among 260 adolescents in schools of Bhavnagar city (western India) during January-October 2017. To assess depression, Beck Depression Inventory-II (BDI-II) was used and high-risk health behaviors were assessed by the Youth Risk Behavior Surveillance System (YRBSS) tool. Multivariable logistic regression analysis was performed to assess whether high-risk health behaviors were independent predictors of depression. The prevalence of depression was found to be 43%. Among high-risk health behaviors, adolescents carrying a sharp weapon to the school was the lowest (4%) and not eating breakfast was the highest (88%). On multiple logistic regression, feeling unsafe at school, self-perception regarding overweight, being a female, not living with both parents in the same house, being unhappy with school performance, having illness/seriously injured, and immediate family member being seriously ill/injured were found to be the significant predictors of depression among the adolescents. There is a need to address mental health issues like depression and high-risk health behaviors under the school health program through screening interventions.

Keywords: India; adolescents; depression; health risk behaviors; mental health; separation; suicide; surveys; teenager.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Behavior*
  • Cross-Sectional Studies
  • Depression / epidemiology
  • Female
  • Health Behavior
  • Humans
  • India / epidemiology
  • Mental Health*
  • Schools