Unequal effects of adolescent health behaviors on adult cardiometabolic conditions: a cohort study
Bibliographic record
Abstract
Abstract Background Health behaviors in adolescence could have a life-long effect on cardiometabolic health and differ by parental socioeconomic conditions. Adopting a life course perspective and a causal inference framework, we aimed to quantify the differential effect of adolescent unhealthy behaviors on adult cardiometabolic conditions by parental financial situation. Methods Using the National Longitudinal Study of Adolescent to Adult Health in the United States (n = 3,772), we estimated conditional causal effect by parental financial situation through inverse probability-weighted marginal structural models. Exposures were adolescent health behaviors (dietary habits, cigarette smoking, alcohol consumption and physical activity) and the effect modifier was parental financial situation (difficulty paying bills vs. no difficulty), both measured at ages 12-19 (1994-1995). Outcomes were cardiometabolic conditions (hypertension, stroke, cardiac failure, diabetes, chronic kidney disease), measured at ages 33 - 43 (2016-2018) using biomarkers and self-reports. Results There were 1,206 participants with cardiometabolic conditions after 20 years of follow-up. Alcohol consumption among adolescents with parental financial difficulty led to 325 more cardiometabolic cases (95% confidence interval: 2 - 647) compared to alcohol consumption by their peers without financial difficulty. This differential effect is driven more by cardiovascular conditions (hypertension, stroke, or cardiac failure) than by metabolic conditions (diabetes or chronic kidney disease). There were no differential effects of dietary habits, cigarette smoking and physical inactivity on the occurrence of adult cardiometabolic conditions. Conclusions Public health initiatives targeting alcohol consumption during adolescence could mitigate socioeconomic inequalities in adult cardiometabolic conditions. Key messages • Socioeconomically disadvantaged adolescents are more susceptible to the long-term detrimental health effects of alcohol consumption. • These susceptible groups may need targeted interventions to mitigate the cardiometabolic effect of alcohol consumption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".