Life transitions and leisure activity engagement in later life: findings from the Consumption and Activities Mail Survey (CAMS)
Bibliographic record
Abstract
ABSTRACT This study examined engagement in leisure activities among older adults, specifically focusing on how life transition factors in later life, including retirement and marital status, are associated with leisure activity engagement using a national sample of older American men and women. We conducted multiple regression analyses with a sample of 5,405 individuals (2,318 men; 3,087 women) from the Consumption and Activities Mail Survey, a supplementary sample of the Health and Retirement Study. We analysed activity engagement in each of four domains of leisure activities: mental, physical, social and religious. Retirement status was categorised into three groups: working (referent), completely retired and partly retired. Marital status was categorised into four groups: married (referent), divorced or separated, widowed and never married. We found an overall trend of a positive relationship between retirement and leisure activity engagement, which suggests that retirement provides a chance for older adults to participate in leisure activities after withdrawal from the labour force. The overall trend of a negative relationship between non-married status and leisure activity engagement suggests that the loss or absence of a spouse may serve as a barrier to participate in leisure activities. Nevertheless, variation among retirees and non-married individuals suggests future studies should compare completely and partly retired individuals or those who are widowed, divorced or separated, or never married to elucidate distinguishable leisure activity profiles.
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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 | 0.002 | 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 | 0.002 | 0.001 |
| 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".