PSYCHOSOCIAL CORRELATES OF BODY MASS INDEX IN FOUR GROUPS OF QUEBEC ADULTS
Bibliographic record
Abstract
The objective of the present analysis was to study the associations between body weight psychosocial correlates and body mass index (BMI) among four groups of adults in the Quebec population. Data were taken from the Social Lifestyles and Health 1998 Survey performed by the Institut de la Statistique du Québec (ISQ). The suggested guidelines of the ISQ were used to estimate the population's proportions and for statistical analysis. The groups studied were 25- to 44- and the 45- to 64-year-old men and women. In all groups, currently trying to lose weight increased the odds of reporting an excess weight. Better perceived eating habits was associated with lower BMI in most groups except in the 25- to 44-year-old women, where the trend was not significant. Higher number of physical activities related to transport and cigarette smoking were associated with lower BMI in both men groups. In both women groups, more frequent consumption of alcoholic beverages decreased significantly the odds of reporting excess body weight. A university degree was associated with a lower BMI only in the 25- to 44-year-old men. Regular practise of leisure time physical activity was associated with a lower BMI only in 45- to 64-year-old women. Opposite associations were observed between perceived health and BMI. In the 45- to 64-year-old men, better perceived health increased the odds of reporting an excess weight. Conversely, the odds of reporting excess weight decreased with better health in 25- to 44-year-old women. Many correlates differ between age group and sex. The identification of these factors illustrates the need to adapt obesity-related programmes toward specific sub-groups within the general population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".