Adult Children as Caregivers: Preliminary Study on the Experiences and Coping Strategies of Adult Children as Primary Caregivers of Parents with Alzheimer’s Disease in Malaysia
Bibliographic record
Abstract
Alzheimer’s Disease (AD) is an irreversible brain disorder that affects thinking, memory, reasoning, and daily functioning. According to World Health Organization (2020), there are approximately 50 million people diagnosed with AD, and nearly 60% of them are living in low- and middle-income countries. In Malaysia, the prevalence of dementia is 8.5% among older adults aged 60 and above. Listed as one of the leading causes of death in 2020, curbing AD is not only a burden to the public health system but also brings perpetual stress to the family members who often undertake the primary caregiving role. The research has indicated that adult children as AD patients' primary caregivers (adult-child caregivers) experience higher psychological burdens than other caregiver groups. This qualitative study intended to explore the experiences and coping strategies of adult children as the primary caregivers of AD patients in Malaysia. The recruitment was conducted with the assistance of the Alzheimer’s Disease Foundation Malaysia, whereby eight participants took part in the in-depth interviews. Both face-to-face and telephone interviews were conducted to facilitate the full engagement of the participants in the research. Thematic analysis technique was used to analyze the data. The results showed that, at the personal level, adult children constantly felt emotional burnout, as they were overwhelmed by not knowing how to manage the stress they experienced. The findings reflected that caregiving for parents with AD involves a process that was depicted as the discovery of behavior changes, having difficulties accepting the diagnosis, making an adjustment to the role of a caregiver, and finally accepting their function and the reality of the disease. Recommendations for interventions and further research have been discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".