The Relationship Between Diet Quality and Adult Obesity: Evidence from Canada
Bibliographic record
Abstract
OBJECTIVE: To assess the relationship between diet quality and body mass index (BMI) in Canadian adults. METHODS: We used confidential, individual-level data on 6325 adult men and 7211 nonpregnant adult women from the 2004 Canadian Community Health Survey to construct 2 diet quality indices (the Diet Quality Index [DQI] and and the Healthy Eating Index [HEI]) and BMI. After adjusting for known observable confounders, a latent class modeling analysis was conducted to account for unobservable confounders. RESULTS: We found that there were 2 latent classes (low-BMI and high-BMI components), and that DQI and HEI indices were negatively associated with BMI in the high-BMI component. In the high-BMI component, a one-unit increase in DQI score is associated with a 0.053 kg/m(2) decrease in BMI, whereas a one-unit increase in HEI score is associated with a 0.095 kg/m(2) decrease in BMI. Subgroup analyses revealed that the association between diet quality and obesity was stronger in women. CONCLUSIONS: Diet quality is associated with lower BMI in high-BMI individuals in Canada. Diet quality exhibits a distinct association in each latent class; this association is stronger in women. Latent class analysis offers a superior methodological framework in understanding the modifiable risk factors for obesity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".