Olusegun Baiyewu1, Abdulkareem Jika Yusuf2, Adefolakemi Ogundele3. 1. Department of Psychiatry,College of Medicine,University of Ibadan,Nigeria. 2. Department of Psychiatry,Faculty of Medicine,Ahmadu Bello University Zaria,Nigeria. 3. Federal Neuro-Psychiatry Hospital Aro,Abeokuta,Nigeria.
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.
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.
Entities:
Keywords:
depression; elderly; poverty; rural area
Authors: Joseph R Starnes; Chiara Di Gravio; Rebecca Irlmeier; Ryan Moore; Vincent Okoth; Ash Rogers; Daniele J Ressler; Troy D Moon Journal: PLoS One Date: 2021-11-16 Impact factor: 3.240