Subjective health and quality of life among elderly people living with chronic multimorbidity and difficulty in activities of daily living in rural South Africa
Bibliographic record
Abstract
Chao Wang,1,2 Run Pu,3 Zhifei Li,3 Lu Ji,4,5 Xiaosong Li,6 Bishwajit Ghose,7 Rui Huang,8 Shangfeng Tang4,51School of Public Policy and Management, China University of Mining and Technology, Xuzhou, People’s Republic of China; 2School of Safety Engineering, China University of Mining and Technology, Xuzhou, People’s Republic of China; 3Department of Industrial Development, China National Center for Biotechnology Development, Beijing, People’s Republic of China; 4School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 5Research Center for Rural Health Service, Key Research Institute of Humanities and Social Sciences of Hubei Provincial Department of Education, Wuhan, People’s Republic of China; 6Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 7Faculty of Social Sciences, School of International Development and Global Studies, University of Ottawa, Ottawa, ON, Canada; 8School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaBackground: 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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".