Quality of Life of Older Adults Living With Dementia and Caregiver Strain in Benin
Bibliographic record
Abstract
OBJECTIVES: This study aimed at assessing the quality of life (QoL) of older adults living with dementia and caregiver strain in Benin, a West African country. METHODS: A cross-sectional study was conducted from October to November 2021, recruiting participants aged 60 and over and their caregivers from health facilities and a rural community in Benin. QoL of older adults and caregiver burden were collected using standardized instruments, namely the World Health Organization's dementia QoL and Zarit Burden Interview, respectively. RESULTS: A total of 114 older adults (mean age 73 ± 10 years, 51% female) and their primary caregivers (mean age 49 ± 16 years, 70% female) participated, of whom 73 were recruited from health facilities and 41 from rural communities. Fifty percent of older adults were diagnosed with mild to severe dementia. The overall QoL was good, with rural participants scoring higher in daily life and urban participants scoring higher in emotion. Factors associated with decreased QoL were higher disability levels and greater caregiver burden. The mean caregiver burden score was 17 ± 13, with higher scores among those caring for older men. Increased disability in older adults and lower socioeconomic status were linked to higher caregiver strain, whereas better QoL in older adults and higher socioeconomic status reduced caregiver burden. CONCLUSION: Enhancing access to healthcare, strengthening social support systems, and providing caregiver training and support are crucial for improving the well-being and care of individuals living with dementia in Benin.
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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 | 0.000 | 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".