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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: [email protected].
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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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References

Abdulmalik, J., Kola, L., Fadahunsi, W. A., Adebayo, K., Musa, E., and Gureje, O. (2013). Country contextualization of mental health action program intervention guide: a case study for Nigeria. PLoS Medicine, 10, e1001501.CrossRefGoogle Scholar
Akinyemi, R. O. et al. (2009). Knowledge and perception of stroke amongst hospital workers in an African community. European Journal of Neurology, 16, 996–1003.CrossRefGoogle Scholar
Anderson, D. A. (2001). Treating depression in old age: the reason to be positive. Age & Ageing, 30, 13–17.CrossRefGoogle ScholarPubMed
Arean, P. A. and Alexopoulos, G. (2007). Psychosocial interventions for mental illness in late-life. International Journal Geriatric Psychiatry, 22, 99–100.CrossRefGoogle ScholarPubMed
Arean, P. A. et al. (2010). Treating depression in disabled, low-income elderly: a conceptual model and recommendations for care. International Journal of Geriatric Psychiatry, 25, 765–769.CrossRefGoogle ScholarPubMed
Baiyewu, O. et al. (2007). Prevalence estimate in elderly community dwelling African American in Indianapolis and Yoruba in Ibadan Nigeria. International Psychogeriatrics, 19, 679–689.CrossRefGoogle ScholarPubMed
Burns, A., Lowlor, B. and Craig, S. (2002). Rating scales in old age Psychiatry. British Journal of Psychiatry, 180, 161–167.CrossRefGoogle ScholarPubMed
Chen, R., Hu, Z., Qin, X., Xu, X. and Copeland, J. R. (2004). A community study of depression in older people in Hefel, China-the GMS-AGECAT prevalence case validation and socio-economic correlates. International Journal of Geriatric Psychiatry, 19, 407–413.CrossRefGoogle Scholar
Chen, R., Wei, L., Hu, Z., Copeland, J. R. M. and Hemingway, H. (2005). Depression in elderly people in rural areas of China. Archives of Internal Medicine, 165, 2019–2025.CrossRefGoogle Scholar
Cole, M. G. and Dendukuri, N. (2003). Risk factors for depression among elderly community subjects: a systemic analysis and meta analysis. American Journal Psychiatry, 160, 1114–1156.CrossRefGoogle Scholar
Copeland, J. R. et al. (1999). Depression in Europe: geographical distribution among older people. British Journal of Psychiatry, 174, 312–321.CrossRefGoogle ScholarPubMed
Copeland, J. R., Kelleher, M. and Kellet, J. (1976). A semi structured clinical interview for the assessment of diagnosis of mental state in the elderly: geriatric mental state schedule I; development and reliability. Psychological Medicine, 6, 439–449.CrossRefGoogle Scholar
Copeland, J. R., Prince, M., Wilson, K., Dewey, M. E., Payne, J. and Gurland, B. (2002). The Geriatric Mental State Examination in the 21st century. International Journal of Geriatric Psychiatry, 17, 729–732.CrossRefGoogle Scholar
Copeland, J. R. M., Beekman, A. T. F., Braam, A. W., Dewey, M. E. and Delespaul, P. (2004). Depression among older people in Europe: the EURODEP studies. World Psychiatry, 3, 45–49, PMCID: PMC1414664.Google ScholarPubMed
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatry Research, 12, 189–198.CrossRefGoogle Scholar
Gum, A. M., Arean, P. A. and Bostrom, A. (2007). Low-income depressed older adults with psychiatric comorbidity: secondary analyses of response to psychotherapy and case management. International Journal of Geriatric Psychiatry, 22, 124–130.CrossRefGoogle ScholarPubMed
Gureje, O., Kola, L. and Afolabi, E. (2007). Epidemiology of major depressive disorders in elderly Nigerians in Ibadan study of ageing: a community based study. Lancet, 370, 957–964.CrossRefGoogle Scholar
Gureje, O. et al. (1995). The CERAD neuropsychological test battery: norms from a Yoruba speaking Nigerians sample. West African Journal of Medicine, 14, 29–38.Google Scholar
Hendrie, H. C. et al. (1995). Prevalence of Alzheimer's disease and dementia in two communities: Nigerian Africans and African Americans. American Journal of Psychiatry, 152, 1485–1492.Google ScholarPubMed
Knauper, B. and Wittchan, H. (1994). Diagnosing major depression in the elderly: evidence for response biased in a standardize diagnostic interview. Journal of Psychiatric Research, 28, 147–164.CrossRefGoogle Scholar
National Bureau of Statistics (2012). National Social and Economic Survey. 2010. Abuja: National Bureau of Statistics of Nigeria.Google Scholar
Ogunniyi, A. O. and Osuntokun, B. O. (1993). Determination of ages of elderly Nigerians through historical events: validation of Ajayi-Igun 1962 listing. West African Journal of Medicine, 12, 189–190.Google Scholar
Panzarino, P. J. (1998). The cost of depression, direct and indirect; treatment versus non treatment. Journal of Clinical Psychiatry, 59, 11–14.Google Scholar
Peltzer, K. and Phaswana-Mafuya, N. (2013). GlobalHealth Action6:18871. Available at: http://dx.doi.org/10.3402/gha.v60.1871.CrossRefGoogle Scholar
Prince, M. J., Beekman, A. T., Deeg, D. J., Fuhrer, R. and KIvela, S. L. (1999). Depressive symptoms in late life assessment using the EURO-D Scale. Effect of Age, gender, and marital status in European Centers. British Journal of Psychiatry, 174, 339–345.CrossRefGoogle Scholar
Reifler, B. (2006). Plays it again, Sam-Depression is reoccurring. New England Journal of Medicine, 354, 1189.CrossRefGoogle Scholar
Schoevers, R. A., Boekman, A. T. F., Deeg, D. J. H., Gerling, M. I., Jonker, C. and vanTilberg, W. (2000). Risk factors of depression in late life: results of a prospective community base study (AMSTEL). Journal of Affective Disorder, 59, 127–137.CrossRefGoogle Scholar
Sokoya, O. O. and Baiyewu, O. (2003). Geriatric depression in Nigerian primary care attendees. International Journal of Geriatric Psychiatry, 18, 506–510.CrossRefGoogle ScholarPubMed
Steffens, D. C. et al. (2006). Perspectives on depression, mild cognitive impairment and cognitive decline. Archives of General Psychiatry, 63, 130–138.CrossRefGoogle ScholarPubMed
Stewart, R. (2006). Hypertension and depression in late life. British Journal of Psychiatry, 188, 85.CrossRefGoogle ScholarPubMed
Uwakwe, R. (2000). The pattern of psychiatry disorders among the aged in a selective community. International Journal of Geriatric Psychiatry, 15, 355–362.3.0.CO;2-8>CrossRefGoogle Scholar
Wilson, K., Mottram, P. and Sixsmit, A. (2006). Depressive symptoms in the very old living alone: prevalence, incidence and risk factors. International Journal Geriatric Psychiatry, 21, 1431–1439.Google Scholar
Yesavage, J., Brink, T. and Rose, T. (1983). Development and validation of a geriatric depression scale. Journal of Psychiatric Research, 17, 37–49.CrossRefGoogle Scholar
Yusuf, A. J., Baiyewu, O., Sheikh, T. L. and Shehu, A. U. (2011). Prevalence of dementia and dementia subtypes in Northern Nigeria. International Psychogeriatrics, 23, 379–386.CrossRefGoogle ScholarPubMed