Background: The Indian aged pop-ulation is the second largest in the world. A high prevalence of mental disorders is a major public health problem with a global prevalence of 322 million; with India contributing to 31 million. The prevalence in el-derly population varies from 13 to 25%. Early diagnosis and treatment are the key step towards curbing this mental health problem. We screened the elderly population for depression to determine the preva-lence and to identify the risk factors of depression in elderly urban pop-ulation in Pune city.
Material and Methods: A cross sec-tional study was conducted on 242 elderly subjects >60 years by admin-istering the WHO (five) wellbeing index and the major International Classification of Diseases 10th Re-vision.
Results: The prevalence of depres-sion was 21.07%. On analysis, age more than 80 years (p value 0.004, Odds ratio- 2.84,95% CI; 1.38-5.68), female gender (p value 0.03, Odds ratio- 1.94,95% CI; 1.03-3.64), loneli-ness (p value 0.001, Odds ratio- 2.56,95% CI; 1.50-5.27) and financial dependence (p value 0.001, Odds ratio- 3.17,95% CI; 1.53- 6.55) were statistically significantly associated with depression.
Conclusion: The prevalence of de-pression was 21.07%. The major risk factors identified were age more than 80 years, loneliness and finan-cial dependence.
Depression, elderly, WHO (five) wellbeing index, ICD-10