Perceived stigma towards Alzheimer's disease and related dementia among Chinese older adults: do social networks matter?
Bibliographic record
Abstract
Abstract In mainland China, as the population ages, Alzheimer's disease and related dementia (ADRD) is estimated to increase among Chinese older adults. Chinese older adults tend to hold stigmatising beliefs about ADRD that in turn affect their help-seeking behaviour and receipt of prevention and treatment. The Framework Integrating Normative Influences on Stigma provides a rationale for Chinese older adult's stigma about ADRD. Questionnaires were administered in person to 754 older adults (42% male, mean age = 69.54 years) from two urban communities in mainland China. We examined ADRD stigma and the associations with real-life exposure, knowledge of ADRD, health conditions and social networks. This study found that Chinese older adults who had good family quality, lower depression (as measured by the Center for Epidemiological Studies Depression Scale) and better cognitive health (as measured by the Montreal Cognitive Assessment) were more likely to have lower perceived stigma. Conversely, those individuals who experienced neglect and had more ADRD knowledge exhibited higher levels of perceived stigma. Social networks moderated the associations between cognitive scores and perceived stigma. This research suggested that the quality of one's social networks is essential to reduce perceived stigma among Chinese older adults. Future research should continue to explore ADRD stigma among Chinese older adults to help guide relevant interventions, services and supports for this population.
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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 | 0.000 | 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 | 0.001 | 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) | 0.001 | 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 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".