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Depression in elderly people living in rural Nigeria and its association with perceived health, poverty, and social network

Published online by Cambridge University Press:  12 August 2015

Olusegun Baiyewu ,
Abdulkareem Jika Yusuf  and
Adefolakemi Ogundele
Olusegun Baiyewu*
Affiliation:
Department of Psychiatry, College of Medicine, University of Ibadan, Nigeria
Abdulkareem Jika Yusuf
Affiliation:
Department of Psychiatry, Faculty of Medicine, Ahmadu Bello University Zaria, Nigeria
Adefolakemi Ogundele
Affiliation:
Federal Neuro-Psychiatry Hospital Aro, Abeokuta, Nigeria
*
Correspondence should be addressed to: Olusegun Baiyewu, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria. Phone: +2348033346929. Email: baiyewuo@comui.edu.ng.
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Abstract

Background:

The relationship between late-life depression, poverty, social network, and perceived health is little studied in Africa; the magnitude of the problem remains largely unknown and there is an urgent need to research into this area.

Methods:

We interviewed community dwelling elderly persons of two rural areas in Nigeria using Mini-Mental State Examination (MMSE) and Geriatric Depression Scale (GDS-30). Those who scored 11 and above on the GDS-30 were further interviewed using Geriatric Mental State Schedule (GMSS). Diagnosis of depression was based on the International Classification of Diseases 10th edition (ICD-10) and GMSS-Automated Geriatric Examination for Computer Assisted Taxonomy (GMMS-AGECAT).

Results:

A total of 458 community dwelling elderly persons participated in the study of which 57% were females. Mean age of the participants was 73.65(±7.8) years (95% CI 72.93–74.37). The mean GDS-30 and MMSE scores were 4.15(±4.80) and 21.73(±4.67), respectively. A total of 59 and 58 participants had depression based on ICD-10 criteria and GMSS-AGECAT, respectively. Agreement between ICD-10 and AGECAT diagnoses was κ = 0.931. By multiple logistic regression analysis, late-life depression was significantly associated with financial difficulties (Odds ratio 4.52 and bereavement Odds ratio 2.70).

Conclusion:

Late-life depression in this cohort is associated with health and socio-economic factors that are worth paying attention to, in a region of economic deprivation and inadequate healthcare.

Keywords

depressionelderlypovertyrural area
Type
Research Article
Information
International Psychogeriatrics , Volume 27 , Issue 12 , December 2015 , pp. 2009 - 2015
Copyright
Copyright © International Psychogeriatric Association 2015 

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