Chronic Illnesses and Depression among Community-based Adolescents in Rural Haryana, India.

Evidence on the association of chronic illnesses with depression among adolescents in the Indian community setting is limited. A simple random sample of 583 adolescents, comprising 56.6% of boys and 43.4% of girls, were interviewed on home visits. Self-reports on chronic illnesses were elicited, followed by administration of Patient Health Questionnaire-9 (PHQ-9) questionnaire to screen for depression, and for confirmation of diagnosis by age-appropriate Mini-International Neuropsychiatric Interview for Children and Adolescents (MINI Kid), or MINI. The prevalence of chronic illnesses was 8.4% (95% confidence interval [CI]: 6.3-11.0). Of these participants, 42.8% screened positive for depression. The prevalence of depression was 10.2% (95% CI: 3.4-22.2) among adolescents with chronic illness. The prevalence of physical-mental multimorbidity was 0.8% (95% CI: 0.3-2.0). The presence of chronic illness was associated with depression identified using both PHQ-9 (adjusted odds ratio [AOR] =3.1 [95% CI: 1.7-5.8], P < 0.001) and MINI Kid/MINI (AOR = 3.2 [95% CI: 1.1-9.4], P = 0.037). Adolescents with chronic illnesses can be targeted for mental morbidity screening in a bid to improve functional outcomes.

Depression Among Adolescents in a Rural Area of Haryana, India: A Community-Based Study Using Patient Health Questionnaire-9.

INTRODUCTION: The estimates of prevalence of depression among adolescents in the Indian community are limited; most studies are institution-based. Early identification and management of depression can provide significant health dividends to the affected adolescents, and better health consequences in their adulthood. OBJECTIVES: To determine the prevalence of depression among 10- to 19-year-old residents in a rural area of Haryana, India, and to assess factors associated with adolescent depression. METHODS: A sample of 630 adolescents (between 10 to 19 years of age) residing in the selected area of Ballabgarh (Haryana) were selected using simple random sampling technique. Home visits were made, in which participants were administered the Patient Health Questionnaire (PHQ)-9 to screen for depression. The prevalence and 95%CI were estimated. In addition, a semi-structured interview schedule was administered to identify sociodemographic variables and other factors associated with adolescent depression. Unadjusted and adjusted OR were reported with p-value, using multivariable logistic regression analysis. RESULTS: The age-adjusted prevalence of depression among adolescents was 20.6% (95% CI: 16.9-24.2). The prevalence in late and early adolescence was 11.7% and 8.9%, respectively. It was higher in girls (22.3%) as compared with boys (19.2%). Mild depression was the most common type identified. On multivariable logistic regression, depression was associated with birth order of four or more (Adjusted OR (AOR)=3.0 (95%CI: 1.4-6.3), p<0.01), presence of long-standing illness in the past three months (AOR=3.0 (95%CI: 1.4-6.1), p<0.01), impaired self-perceived body image (AOR=2.9 (95%CI: 1.8-4.6), p<0.01), and perceived stressful event(s) in the past six months (AOR=4.9 (95%CI: 2.8-8.6), p<0.01). CONCLUSION:  One in five adolescents was screened positive for depression, necessitating focus on screening and early identification of depressive symptoms, especially at the primary care level.

Depression among adolescents in a rural community of north India: A cross-sectional study.

BACKGROUND: There is a paucity of literature on depression among adolescents in the north Indian community. OBJECTIVES: The aim of this study was to estimate the prevalence of depression among adolescents residing in a rural community of north India, and to determine associated factors, psychiatric comorbidities, and functional impairment. METHODS: A simple random sample of 630 adolescents aged 10-19 years was drawn. Participants were enrolled in house-to-house visits, and screened for depression using the nine-item version of Patient Health Questionnaire (PHQ-9). Diagnostic confirmation and assessment of psychiatric comorbidities was done using Mini International Neuropsychiatric Interview for Children and Adolescents (MINI Kid) for 10-17-year-old adolescents, and MINI for 18 year olds. Prevalence was reported with 95% confidence interval. Multivariable logistic regression analysis was done to determine the association of depression with socio-demographic and other factors. Children's Global Assessment Scale (CGAS) was used to assess functional impairment. RESULTS: The prevalence of depression was 3.7% (95% CI: 2.3-5.2) (n = 583), comparable in both sexes. Over half the participants with depression had psychiatric comorbidities; the most common were conduct disorder, oppositional defiant disorder, and attention deficit hyperactivity disorder; nearly two-fifth had suicidal ideas/attempt. About two-third of participants with depression had functional impairment. Depression was associated with perceived frequent conflicts at home [adjusted odds ratio (aOR) = 4.0 (95% CI: 1.0-16.0), P = 0.049], and perceived stressful event (s) in past six months [aOR = 7.0 (95% CI: 2.4-20.3), P < 0.01], which were predominantly related to academics. CONCLUSION: Study results indicate the need to strengthen diagnostic and therapeutic/rehabilitative mental health services in adolescent age group. Low-stress lifestyle could be a promising approach to sidestep depressive symptoms.