Sociodemographic and health disparities in self-care difficulties among older individuals: Evidence from South Africa
Bibliographic record
Abstract
BACKGROUND: As South Africa's population rapidly ages, the burden of non-communicable diseases and the challenges of performing daily care activities among older individuals are increasing. This study investigates trends in self-reported difficulties with daily care activities among older adults in South Africa and examines the association between these difficulties, sociodemographic factors, and chronic conditions. METHODS: The study used cross-sectional data from ten rounds of South Africa General Household Survey (2012-2021). Sample population included 26,362 men and 42,400 women aged 60 years and above. The outcome measure was assessed by self-reported difficulty in performing basic care activities such as washing or dressing. RESULTS: Between 2012 and 2021, the percentage of participants reporting "A lot of difficulty" increased by 79.75%, "Some difficulty" increased by 112.11%, while "Unable to do" decreased by 8.97%. The risk of self-care difficulties was higher for men (RR = 1.11, 95% CI = 1.02, 1.20) and increased with age: RR = 1.24 (95% CI = 1.08, 1.42) for ages 65-69; RR = 2.27 (95% CI = 2.00, 2.58) for ages 70-74; and RR = 5.65 (95% CI = 5.08, 6.28) for ages 75+. Not being currently married (RR = 1.65, 95% CI = 1.51, 1.79), being of African/Black (RR = 1.21, 95% CI = 1.06, 1.38) or Coloured race (RR = 1.41, 95% CI = 1.21, 1.65), and having diabetes (RR = 1.44, 95% CI = 1.34, 1.55), hypertension (RR = 1.35, 95% CI = 1.26, 1.45), or asthma (RR = 1.30, 95% CI = 1.14, 1.48) were also associated with a higher risk of self-care difficulties. CONCLUSION: There was a notable increase in the proportion of participants reporting significant difficulty and some difficulty in performing self-care tasks, while a decrease was observed in the category of participants unable to do such tasks. Health policies should prioritize the specific needs of vulnerable sociodemographic and health groups, considering their increased risk of self-care difficulties.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".