Engineering students like any other students face several stressors in their lives, which make them vulnerable to depression. Depression may affect students’ academic performance.
The present study aims to estimate the prevalence and associated risk factors of depression among engineering students.
Material and Methods
A cross-sectional study was conducted in December 2016 among 110 randomly selected students from an engineering college in a rural area of Pune district, India. PHQ-9 questionnaire was used. Univariate and multivariable ordinal logistic regression was used to quantify association.
Of a total of 110 students, 71.8% were males, while 28.2% were females. The mean age was 20.7 years. 29.1% had no depression, 48.2% had mild depression, and 22.7% had moderate depression. Univariate analysis found four variables significantly associated with a greater risk of depression: parental stress, sibling stress, economic stress, and interpersonal conflict. In the adjusted (multivariable) ordinal logistic regression analysis controlling for all independent variables, only lack of economic support and interpersonal conflicts retained their statistical significance.
The prevalence of depression in engineering students is high and strongly associated with the presence of economic and personal stress. Screening for depression and giving them care and support is of paramount importance.