Social Engagement and Well-Being Among Chinese Older Adults
Bibliographic record
Abstract
Abstract Social engagement is increasingly recognized as a protective factor to promote healthy aging. This symposium provides new findings on social participation and social isolation in relation to individuals’ health and well-being among the Chinese populations. Using the 2002¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬¬–2018 Chinese Longitudinal Healthy Longevity Survey, the first study examined the trends of leisure activity engagement among young-old adults aged 65–74 in China over a 16-year period. Findings revealed a general downward trend of engaging in any form of social leisure activity and upward trends for engaging in home-bound and solitary leisure activities. Similarly, the second study examined social participation patterns and individual factors associated with these patterns using three nationally representative data in China, UK, and US. Their findings highlighted several underlying participation patterns across these nations as well as differences in how socio-demographics were associated with these patterns. Using data collected among Chinese older adults in Hawaii, the third study examined the associations of social isolation with psychological well-being. Results showed that social isolation was positively related to psychological distress, and negatively related to life satisfaction and happiness. These associations were partially mediated by resilience. Their findings revealed the detrimental health effects of social isolation. Using the same dataset in Hawaii, the last study examined the associations between neighbourhood conditions and psychological well-being for Chinese older adults. Their findings revealed that both physical and social neighbourhood conditions were associated with psychological well-being, particularly for foreign-born older adults, and psychological resources such as self-management abilities could mediate the associations.
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 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 | 0.001 |
| 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".