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Longitudinal Studies of Aging in Sub-Saharan Africa: Review, Limitations, and Recommendations in Preparation of Projected Aging Population.
Akinrolie, Olayinka; Iwuagwu, Anthony O; Kalu, Michael E; Rayner, Daniel; Oyinlola, Oluwagbemiga; Ezulike, Chigozie D; Okoh, Augustine C; Makanju, Adebayo O; Ugwuodo, Ebere P; Ugwuja, Immaculata A; John, Makanjuola Osuolale; Adeleke, Deborah; Egbumike, Chukwuenyegom J; Anieto, Ebuka Miracle; Anieto, Ijeoma B; Alumona, Chiedozie James; Onyeso, Ogochukwu Kelechi; Ojembe, Blessing; Omeje, Chidinma A; Nwachukwu, Ernest C; Ekediegwu, Ezinne C; Onyeso, Kelechi M; Adeboye, Ademuyiwa; Ibekaku, Michael; Akinrolie, Omobolade; Onyekere, Chukwuebuka P.
Afiliación
  • Akinrolie O; Applied Health Sciences, Faculty of Graduate Studies, University of Manitoba, Winnipeg, Manitoba, Canada.
  • Iwuagwu AO; School of Social Sciences, University of New South Wales, Sydney, New South Wales, Australia.
  • Kalu ME; Department of Social Work, University of Nigeria, Nsukka, Enugu State, Nigeria.
  • Rayner D; School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, Ontario, Canada.
  • Oyinlola O; Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Ezulike CD; School of Social Work, McGill University, Montreal, Quebec, Canada.
  • Okoh AC; Medical Social Services Department, University College Hospital, Ibadan, Oyo state, Nigeria.
  • Makanju AO; Department of Social Work, University of Nigeria, Nsukka, Enugu State, Nigeria.
  • Ugwuodo EP; Department of Social and Behavioural Sciences, City University of Hong Kong, Kowloon, Hong Kong.
  • Ugwuja IA; Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • John MO; Interdisciplinary Social Research Program (Aging and Health), Trent University, Peterborough, Ontario, Canada.
  • Adeleke D; School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
  • Egbumike CJ; Department of Gerontology, Faculty of Social Sciences, University of Southampton, Southampton, UK.
  • Anieto EM; Faculty of Nursing Sciences, University of Medical Sciences, Ondo, Ondo State, Nigeria.
  • Anieto IB; School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
  • Alumona CJ; Evangel University, Akaeze, Akaeze, Ebonyi State, Nigeria.
  • Onyeso OK; School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.
  • Ojembe B; Department of Gerontology, Faculty of Social Sciences, University of Southampton, Southampton, UK.
  • Omeje CA; Department of Physiotherapy, College of Basic Medical Sciences, Chrisland University, Abeokuta, Ogun State, Nigeria.
  • Nwachukwu EC; Faculty of Health Science, University of Lethbridge, Lethbridge, Alberta, Canada.
  • Ekediegwu EC; Faculty of Health Science, University of Lethbridge, Lethbridge, Alberta, Canada.
  • Onyeso KM; Faculty of Social Work, University of Manitoba, Winnipeg, Manitoba, Canada.
  • Adeboye A; Physiotherapy Unit, Asaba Specialist Hospital, Asaba, Delta State, Nigeria.
  • Ibekaku M; School of Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Akinrolie O; Department of Medical Rehabilitation (Physiotherapy), Faculty of Health Sciences and Technology, Nnamdi Azikwe University, Nnewi Campus, Anambra, Nigeria.
  • Onyekere CP; Department of Estate Management, Faculty of Environmental Sciences, University of Nigeria, Nsukka, Enugu State, Nigeria.
Innov Aging ; 8(4): igae002, 2024.
Article en En | MEDLINE | ID: mdl-38628825
ABSTRACT
Background and

Objectives:

The United Nations has projected a 218% increase in older people in Sub-Saharan Africa (SSA) between 2019 and 2050, underscoring the need to explore changes that would occur over this time. Longitudinal studies are ideal for studying and proffering solutions to these changes. This review aims to understand the breadth and use of longitudinal studies on aging in the SSA regions, proffering recommendations in preparation for the projected aging population. Research Design and

Methods:

This paper is the third of a four-part series paper of a previous systematic mapping review of aging studies in SSA. We updated the search (between 2021 and 2023) and screened the titles/abstracts and full-text articles by a pair of independent reviewers. Data were extracted using a standardized data-charting form, identifying longitudinal studies in SSA.

Results:

We identified 193 studies leveraging 24 longitudinal study data sets conducted at 28 unique sites. The World Health Organization's Study on Global AGEing and Adult Health (WHO-SAGE) (n = 59, 30.5%) and Health and Aging in Africa A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) (n = 51, 26.4%) were the most used longitudinal data sets. Four studies used more than one longitudinal study data set. Eighteen of the longitudinal study data sets were used only in 1-4 studies. Most (n = 150, 77.7%) of the studies used a cross-sectional analytical approach. Discussion and Implications Longitudinal studies on aging are sparingly being utilized in SSA. Most analyses conducted across the longitudinal data set were cross-sectional, which hindered the understanding of aging changes that occurred over time that could better inform aging policy and interventions. We call for funding bodies, such as WHO-SAGE, to develop funding competitions that focus on conducting longitudinal analyses, such as structural equation modeling, highlighting changes occurring among the aging population in SSA.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Innov Aging Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Innov Aging Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido