What question did this study set out to answer?

To assess the scope, utilization, and analytical methodology of longitudinal aging studies in Sub-Saharan Africa to guide interventions and policy for the region's rapidly aging population.

January 23, 2024Innovation in AgingOpen Access

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

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Authors

OAOlayinka AkinrolieUniversity of Calgary AIAnthony Obinna IwuagwuUNSW Sydney MKMichael KaluWestern University

Discussion

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Implication

Systematic review finds widespread reliance on cross-sectional analysis among aging cohorts in Sub-Saharan Africa, suggesting missed opportunities to track health trajectories over time.

Key Points

To assess the scope, utilization, and analytical methodology of longitudinal aging studies in Sub-Saharan Africa to guide interventions and policy for the region's rapidly aging population.
Conducted an updated systematic mapping review (covering 2021–2023) as the third part of an ongoing multi-paper series on aging in Sub-Saharan Africa.
Dual independent reviewers screened titles, abstracts, and full texts, extracting study characteristics using a standardized data-charting form.
Identified 193 published studies utilizing 24 longitudinal datasets across 28 unique sites.
Found that WHO-SAGE (n = 59, 30.5%) and HAALSI (n = 51, 26.4%) were the most frequently analyzed datasets, while 18 datasets were used in only 1–4 studies.
Observed that 77.7% of studies (n = 150) applied cross-sectional analytical approaches rather than longitudinal modeling across time points.

Cite This Study

Akinrolie et al. (2024) studied this question.

synapsesocial.com/papers/6a1061d94fb650da4fff634f https://doi.org/10.1093/geroni/igae002

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January 23, 2024Innovation in AgingOpen Access

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

View Full Paper

Ask AI

Bookmark

Authors

OAOlayinka AkinrolieUniversity of Calgary AIAnthony Obinna IwuagwuUNSW Sydney MKMichael KaluWestern University

Discussion

Member takes

Implication

Systematic review finds widespread reliance on cross-sectional analysis among aging cohorts in Sub-Saharan Africa, suggesting missed opportunities to track health trajectories over time.

Key Points

To assess the scope, utilization, and analytical methodology of longitudinal aging studies in Sub-Saharan Africa to guide interventions and policy for the region's rapidly aging population.
Conducted an updated systematic mapping review (covering 2021–2023) as the third part of an ongoing multi-paper series on aging in Sub-Saharan Africa.
Dual independent reviewers screened titles, abstracts, and full texts, extracting study characteristics using a standardized data-charting form.
Identified 193 published studies utilizing 24 longitudinal datasets across 28 unique sites.
Found that WHO-SAGE (n = 59, 30.5%) and HAALSI (n = 51, 26.4%) were the most frequently analyzed datasets, while 18 datasets were used in only 1–4 studies.
Observed that 77.7% of studies (n = 150) applied cross-sectional analytical approaches rather than longitudinal modeling across time points.

Cite This Study

Akinrolie et al. (2024) studied this question.

synapsesocial.com/papers/6a1061d94fb650da4fff634f https://doi.org/10.1093/geroni/igae002

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