Parental divorce’s long shadow: Elevated stroke risk among older Americans
Bibliographic record
Abstract
Although studies have investigated the association between adverse childhood experiences and chronic health outcomes including stroke, few studies have investigated the association between parental divorce and stroke among adults with no history of childhood abuse. The objectives of this study were to investigate the association between parental divorce in childhood and stroke in older adulthood among those who did not experience child abuse and to examine whether this association differs between men and women. This study utilized population-based data from the 2022 Behavioral Risk Factor Surveillance System. An analytic sample of 13,205 adults aged 65 and above (56.6% female) who have never experienced childhood physical nor sexual abuse were analyzed using binary logistic regression. The outcome variable investigated was self-report of a physician-diagnosis of stroke, and the main exposure of interest was parental divorce. In this sample of older adults, 7.3% reported having stroke, while 13.9% reported that their parents had divorced before the respondent was 18 years old. Controlling for the effects of other factors, respondents who experienced parental divorce had 1.61 times higher odds of having a stroke when compared to their counterparts who did not experience parental divorce (AOR = 1.61, 95% CI = 1.15-2.24). The association between parental divorce and stroke was not dependent on sex; however, compared to females, males had 1.47 times higher odds of having a stroke (AOR = 1.47, 95% CI = 1.11-1.93). The findings of this study suggest that individuals in this cohort whose parents divorced as children were at greater risk for stroke later in life. Potentially moderating variables were hypothesized, including childhood poverty, sleep hygiene, and hypertension.
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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 | 0.001 |
| 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) | 0.000 | 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".