<p>Subjective health and quality of life among elderly people living with chronic multimorbidity and difficulty in activities of daily living in rural South Africa</p>
Bibliographic record
Abstract
Background: South Africa has been experiencing a growing proportion of elderly population with rapid increases in the burden of non-communicable diseases (NCDs) characteristic of population aging. Rural areas in South Africa represent a far smaller fraction of the population, however, share a relatively higher burden of NCDs. In the current literature, there is limited evidence on rural studies in the context of chronic diseases and activities of daily living (ADLs) among the elderly population (60 years and above) in South Africa. Purpose: In this regard, we undertook the present study with the objective of examining the demographic, behavioral, and socioeconomic predictors of subjective health, depression, and quality of life among elderly men and women living in the rural areas (n=2,627). Methods: Data for this study were collected from the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI). Main explanatory variables were self-reported NCDs and difficulties in ADLs. The predictors of subjective health, depression, and quality of life were assessed using multivariable regression methods. Results: We found that the proportion of participants who reported good health, not having depression, and good quality of life was respectively 44.7%, 81.3%, and 63%. Women in the oldest age group (80+ years) were significantly less likely to report good health (OR=0.577, 95% CI=0.420, 0.793) and quality of life (OR=0.709, 95% CI=0.539, 0.933) compared with those in the youngest group. Having more than one chronic condition and ADL difficulties significantly lowered the odds of good health, having no depression, and quality of life among men and women. Conclusion: The present findings suggest the involvement of sociodemographic factors in health and quality of life outcomes among elderly South Africans, and call for enhanced efforts to address these health limiting conditions such as ADLs and chronic multimorbidity. Keywords: activities of daily, elderly population, non-communicable diseases, rural health, South Africa
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".