Ethel M Brinda1, Anto P Rajkumar2, Jǿrn Attermann3, Ulf G Gerdtham4, Ulrika Enemark1, Kuruthukulangara S Jacob5. 1. Section for Health Promotion and Health Services Research, Department of Public Health, Aarhus University, Aarhus, Denmark. 2. Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK; Mental Health of Older Adults and Dementia Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UK. Electronic address: Anto.Rajamani@kcl.ac.uk. 3. Section of Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark. 4. Health Economics Unit, Department of Clinical Sciences, Lund University, Lund, Sweden; Institute of Economic Research, Health Economics & Management, Lund University, Lund, Sweden. 5. Department of Psychiatry, Christian Medical College, Vellore, India.
Abstract
OBJECTIVE: Although depression among older people is an important public health problem worldwide, systematic studies evaluating its prevalence and determinants in low and middle income countries (LMICs) are sparse. The biopsychosocial model of depression and prevailing socioeconomic hardships for older people in LMICs have provided the impetus to determine the prevalence of geriatric depression; to study its associations with health, social, and economic variables; and to investigate socioeconomic inequalities in depression prevalence in LMICs. METHODS: The authors accessed the World Health Organization Study on Global AGEing and Adult Health Wave 1 data that studied nationally representative samples from six large LMICs (N = 14,877). A computerized algorithm derived depression diagnoses. The authors assessed hypothesized associations using survey multivariate logistic regression models for each LMIC and pooled their risk estimates by meta-analyses and investigated related socioeconomic inequalities using concentration indices. RESULTS: Cross-national prevalence of geriatric depression was 4.7% (95% CI: 1.9%-11.9%). Female gender, illiteracy, poverty, indebtedness, past informal-sector occupation, bereavement, angina, and stroke had significant positive associations, whereas pension support and health insurance showed significant negative associations with geriatric depression. Pro-poor inequality of geriatric depression were documented in five LMICs. CONCLUSIONS: Socioeconomic factors and related inequalities may predispose, precipitate, or perpetuate depression amongolder people in LMICs. Relative absence of health safety net places socioeconomically disadvantaged older people in LMICs at risk. The need for population-based public health interventions and policies to prevent and to manage geriatric depression effectively in LMICs cannot be overemphasized. Copyright Â
OBJECTIVE: Although depression among older people is an important public health problem worldwide, systematic studies evaluating its prevalence and determinants in low and middle income countries (LMICs) are sparse. The biopsychosocial model of depression and prevailing socioeconomic hardships for older people in LMICs have provided the impetus to determine the prevalence of geriatric depression; to study its associations with health, social, and economic variables; and to investigate socioeconomic inequalities in depression prevalence in LMICs. METHODS: The authors accessed the World Health Organization Study on Global AGEing and Adult Health Wave 1 data that studied nationally representative samples from six large LMICs (N = 14,877). A computerized algorithm derived depression diagnoses. The authors assessed hypothesized associations using survey multivariate logistic regression models for each LMIC and pooled their risk estimates by meta-analyses and investigated related socioeconomic inequalities using concentration indices. RESULTS: Cross-national prevalence of geriatric depression was 4.7% (95% CI: 1.9%-11.9%). Female gender, illiteracy, poverty, indebtedness, past informal-sector occupation, bereavement, angina, and stroke had significant positive associations, whereas pension support and health insurance showed significant negative associations with geriatric depression. Pro-poor inequality of geriatric depression were documented in five LMICs. CONCLUSIONS: Socioeconomic factors and related inequalities may predispose, precipitate, or perpetuate depression amongolder people in LMICs. Relative absence of health safety net places socioeconomically disadvantaged older people in LMICs at risk. The need for population-based public health interventions and policies to prevent and to manage geriatric depression effectively in LMICs cannot be overemphasized. Copyright Â
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