A systematic review of physical and psychological health and wellbeing of older women in Sub-Saharan Africa
Bibliographic record
Abstract
BACKGROUND: Sub-Saharan Africa (SSA) has the fastest growing proportion of older adults in the world, the majority of whom are women. Global health agendas, however, continue to deprioritise older women's health issues, including the incidence of and mortality from non-communicable disease (NCDs). This is the first systematic review to address the health, wellbeing and healthcare utilization of older SSA women. METHODS: Studies with primary analysis of health, wellbeing and/or healthcare utilization outcomes for women over the age of 50 from SSA countries were included. Databases searched include EMBASE, Scopus and Psycinfo. FINDINGS: About 26 studies from six SSA countries met inclusion criteria. Studies regarding NCDs predominated (n = 12), followed by healthcare utilization (n = 4), disability (n = 4), wellbeing (n = 2), depression (n = 2) and HIV (n = 2). Every study indicated significantly lower self-rated health and wellbeing, higher rates of depression, hypertension, obesity, disability or weakness for women compared with men. The studies also indicated that older women use healthcare more often, and choose public over private facilities more often. INTERPRETATION: The studies in the review had large, diverse samples. This review demonstrates the need for more gender-specific studies to better understand the unique challenges older women face in managing NCDs in particular.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".