Department of Community Medicine, NAMO Medical Education & Research Institute, Sayali Road, Silvassa, Dadra & Nagar Haveli, India.
Department of Community Medicine, Government Medical College Bhavnagar (Maharaja Krishnakumarsinhji Bhavnagar University), Near ST Bus Stand, Jail Road, Bhavnagar, Gujarat, India.
J Community Psychol. 2021 Aug;49(6):1891-1903. doi: 10.1002/jcop.22627. Epub 2021 Jun 1.
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.
我们的目的是评估抑郁的患病率，并确定高危健康行为是否与在校青少年的抑郁有关，从而评估将心理健康服务与学校卫生计划相结合的必要性。我们于 2017 年 1 月至 10 月在印度西部巴夫那加尔市的 260 名青少年中进行了一项横断面研究。为了评估抑郁，我们使用贝克抑郁量表第二版（BDI-II），并使用青少年风险行为监测系统（YRBSS）工具评估高危健康行为。采用多变量逻辑回归分析评估高危健康行为是否是抑郁的独立预测因素。发现抑郁的患病率为 43%。在高危健康行为中，携带利器上学的青少年比例最低（4%），不吃早餐的比例最高（88%）。在多变量逻辑回归中，在校感到不安全、自我感知超重、女性、与父母不在同一住所居住、对学校表现不满意、患病/严重受伤，以及直系亲属严重患病/受伤，这些因素被认为是青少年抑郁的显著预测因素。需要通过筛查干预，在学校卫生计划下解决抑郁和高危健康行为等心理健康问题。
