Ruhi S Kulkarni1, Ramkrishna L Shinde2. 1. Departmetn of Statistics, School of Mathematical Sciences, North Maharashtra University, Jalgaon, India rskulcsn@gmail.com. 2. Departmetn of Statistics, School of Mathematical Sciences, North Maharashtra University, Jalgaon, India.
Abstract
OBJECTIVE: To estimate the prevalence of depression and determine the factors associated with it in older Indians aged 50 years and above. METHOD: This study was based on a nationally representative sample of 7,150 older Indians from WHO's Study of Global Aging and Adult Health, SAGE-2007. Mild, moderate, and severe depression was assessed through International Classification of Diseases, 10th revision, Diagnostic Criteria for Research (ICD-10-DCR). Logistic regression analysis was used to assess the impact of socio-demographic, health, and diet-related characteristics on depression. RESULTS: Estimated prevalence of mild, moderate, and severe depression in the past 12 months was 13.6%, 12.4%, and 8.2% respectively, in older Indians. Functional disability, cognitive impairment, low quality of life, low wealth status, and chronic conditions such as angina, asthma, or chronic lung disease were the significant (p < .05 or .1) risk factors for depression. DISCUSSION: Protective and risk factors identified can be helpful in formulation of different policies for older Indians.
OBJECTIVE: To estimate the prevalence of depression and determine the factors associated with it in older Indians aged 50 years and above. METHOD: This study was based on a nationally representative sample of 7,150 older Indians from WHO's Study of Global Aging and Adult Health, SAGE-2007. Mild, moderate, and severe depression was assessed through International Classification of Diseases, 10th revision, Diagnostic Criteria for Research (ICD-10-DCR). Logistic regression analysis was used to assess the impact of socio-demographic, health, and diet-related characteristics on depression. RESULTS: Estimated prevalence of mild, moderate, and severe depression in the past 12 months was 13.6%, 12.4%, and 8.2% respectively, in older Indians. Functional disability, cognitive impairment, low quality of life, low wealth status, and chronic conditions such as angina, asthma, or chronic lung disease were the significant (p < .05 or .1) risk factors for depression. DISCUSSION: Protective and risk factors identified can be helpful in formulation of different policies for older Indians.
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