Associations Between Divorce Histories and Unhealthy Alcohol Use Among Middle Aged and Older Adults
Bibliographic record
Abstract
Background: Unhealthy alcohol use has been considered a coping strategy related to stressful and traumatic life events such as relationship loss. Yet, the effects of marital status on health behaviors are generally studied cross-sectionally or over one transition. We explored associations between the frequency and quantity of alcohol use with the number of episodes and duration of separation/divorce events across adulthood among English adults in mid to later life. Methods: This study used life history data from wave 3 (2006/07) of the English Longitudinal Study of Aging to compute marital sequences based on marital status at each year of age from 18 years of 6,355 adults aged 50–80 years. These sequences were used to compute the portion of adulthood spent separated/divorced and the number of episodes of divorce. These variables were used as predictors in logistic regressions predicting unhealthy alcohol use, while also controlling for current marital status. Results: We found that the number of episodes of separation/divorce increased the odds of drinking ≥5 days/week and binge drinking (≥6 drinks/occasion for women; ≥8 drinks/occasion for men), whereas the portion of adulthood spent divorced was not associated with drinking frequency or binge drinking. Some nuances by gender were also noted. Conclusions: Recurrent transitions into separation/divorce over adulthood appears to increase risk of unhealthy alcohol use in mid to later life beyond the risks associated with current marital status.
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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 | 0.001 | 0.001 |
| 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".