A longitudinal study evaluating adverse childhood experiences and obesity in adulthood using the Canadian Longitudinal Study on Aging (CLSA)
Bibliographic record
Abstract
BACKGROUND: Adverse childhood experiences (ACEs) are a risk factor for obesity; however, the causal mechanisms are not well understood. Objectives were to measure the impact of ACEs on adulthood obesity and to investigate whether the association was mediated by nutrition and stress. METHODS: A longitudinal study was conducted using adults aged 46-90 years (n = 26 615) from the Canadian Longitudinal Study on Aging. Participants were asked to recall ACEs from <18 years of age. Body mass index (BMI), waist circumference and per cent body fat were measured (2015-18) and obesity was defined using standard cut points. Nutrition was measured using data from the Short Diet Questionnaire and stress was measured using allostatic load. Multinomial logistic regression was used to estimate odds ratios (ORs) and 95% CIs for each obesity measure. Causal mediation methods were used to determine whether nutrition and stress were mediators. RESULTS: There were 66% of adults who had experienced one or more ACE. The odds of obesity defined by BMI and waist circumference increased in a dose-response manner with increasing number of ACEs (P trend <0.001). For instance, adults with four to eight ACEs, compared with none, had greater odds of obesity, defined by BMI (adjusted OR: 1.54; 95% CI: 1.28-1.75) and waist circumference (adjusted OR: 1.30; 95% CI: 1.15-1.47). There was no evidence of mediation by stress or nutrition. CONCLUSIONS: Adversity experienced in early life is strongly associated with obesity among Canadian adults. Further research is needed to identify other mechanisms for this association to inform obesity prevention strategies.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".