Literature DB >> 29923530

A study on prevalence of depression and associated risk factors among elderly in a rural block of Tamil Nadu.

M Buvneshkumar1, K R John2, M Logaraj3.   

Abstract

BACKGROUND: Depression among elderly is an important public health problem responsible for considerable morbidity and disability. Causes of depression are multifactorial and often preventable. As there was dearth of community studies in Tamil Nadu, the present study was undertaken.
OBJECTIVES: The objective of this study is to estimate the prevalence of depression and to assess the factors which are associated with depression among elderly.
METHODS: A cross-sectional study was done from July 2014 to July 2015 among elderly in Kattankulathur block with a sample size of 690 by cluster sampling method. House-to-house interview was conducted using a predesigned, pre-tested questionnaire, and depression was assessed using geriatric depression scale-30. Data were analyzed using SPSS version 20 (Trial). The statistical tests used were proportions, Chi-square test. P<0.05 was considered to be statistically significant.
RESULTS: The overall prevalence of depression was 35.5% (95% confidence interval: 31.9%-39.0%). Sociodemographic factors such as female sex, nuclear family, being widowed, unemployed status, low socioeconomic status, financially dependent, medical factors such as cardiac disease, visual impairment, arthritis, anemia, life events such as conflicts in family, death of the family member or close relative, and illness of self/family member were significantly associated with depression (P < 0.05).
CONCLUSIONS: More strength of association for depression was seen with low socioeconomic status, nuclear family, low-intensity work, conflicts in the family, death of family members using multiple logistic regression. These findings show the need for proper care by the family members and counseling for the elderly which are of much importance in preventing depression.

Entities:  

Keywords:  Depression; elderly; prevalence; risk factors

Mesh:

Year:  2018        PMID: 29923530     DOI: 10.4103/ijph.IJPH_33_17

Source DB:  PubMed          Journal:  Indian J Public Health        ISSN: 0019-557X


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