Correlation Between Typology of Daily Behaviors and Attitudes Toward Aging Among Chinese Older Adults
Bibliographic record
Abstract
Objectives: This study aims to identify typologies of daily activity patterns among older adults and analyze how these behavioral profiles correlate with aging attitudes. Methods: Data came from the 2020 China Longitudinal Aging Social Survey. Latent Class Analysis (LCA) categorized older adults, and OLS regression with an interaction term was applied. Stata MP 17.0 was used. Results: Four types of older adults’ daily behaviors were identified: Active Producers, Healthy Homemakers, Unhealthy Homemakers, and Medical & Care Needy. These categories reflected the shift from professional roles to family duties and health concerns. The study found an inverted “U” shaped trend in self-perceptions of aging, with the most positive views among Unhealthy Homemakers. Notably, Healthy Homemakers, the largest group, had more negative perceptions than Unhealthy Homemakers, indicating a psychosocial gap that needs further study. Discussion: The findings emphasize the importance of recognizing how daily behaviors influence older adults’ views on aging.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".