Inuvialuit adults in the Canadian Arctic have a high body mass index and self‐reported physical activity
Bibliographic record
Abstract
BACKGROUND: Inuvialuit in Arctic Canada are undergoing nutrition and lifestyle transitions that encourage decreased physical activity (PA) and increased body mass index (BMI), although data specific to PA and BMI within this unique population are not currently available. The present study aimed to characterise current PA and BMI levels in a sample of Inuvialuit adults. METHODS: Inuvialuit adults randomly selected from a cross-sectional survey of three communities in the Northwest Territories, Canada, completed an adapted International Physical Activity Questionnaire (IPAQ) and an anthropometric questionnaire to obtain height and weight. Data were analysed using the standardised IPAQ protocol, and the results are presented by gender and age group (≤50 and >50 years). RESULTS: One hundred and ninety-six Inuvialuit adults [148 women, 48 men; mean (standard deviation (SD)) ages 45 (14) and 41 (14) years, respectively; age range 19-84 years] completed the IPAQ (response rates 65-85%). Seventy-one percent of men and 74% of women allowed height measurements, whilst 81% and 84% allowed weight measurements, respectively; the remainder provided self-reported anthropometrics. Mean (SD) BMIs were 28.6 (7.7) kg/m(2) for males and 30.5 (8.8) kg/m(2) for females. The greatest percentage of participants in both gender and age groups fell into the obese BMI category. Self-reported PA was high, with means for men and participants ≤50 years in the high category of PA and means for women and participants >50 years in the medium category. Almost two-thirds (65%) of participants were classified as being overweight or obese, although 89% reported medium or high levels of PA. CONCLUSIONS: The results obtained in the present study indicate widespread overweight/obesity accompanying high levels of self-reported PA.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".