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Longitudinal Studies of Aging in Sub-Saharan Africa: Review, Limitations, and Recommendations in Preparation of Projected Aging Population.

Olayinka AkinrolieAnthony Obinna IwuagwuMichael Ebe KaluDaniel G RaynerOluwagbemiga OyinlolaJuliet Chigozie Donatus EzulikeAugustine Chukwuebuka OkohAdebayo O MakanjuEbere P UgwuodoImmaculata A UgwujaMakanjuola Osuolale JohnDeborah AdelekeChukwuenyegom J EgbumikeEbuka Miracle AnietoIjeoma B AnietoChiedozie James AlumonaOgochukwu Kelechi OnyesoBlessing OjembeChidinma A OmejeErnest C NwachukwuEzinne C EkediegwuKelechi M OnyesoAdemuyiwa AdeboyeMichael IbekakuOmobolade AkinrolieChukwuebuka P Onyekere
Published in: Innovation in aging (2024)
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.
Keyphrases
  • cross sectional
  • healthcare
  • public health
  • mental health
  • machine learning
  • electronic health record
  • molecularly imprinted