Gender diversity in developing overweight over 35 years of Westernization in an Inuit hunter cohort and ethno-specific body mass index for evaluation of body-weight abnormalities
Bibliographic record
Abstract
OBJECTIVE: To establish an Inuit body mass index (BMI) norm from a healthy, not malnourished, pure Inuit population and to investigate the development of overweight in the Inuit in Greenland. DESIGN: Longitudinal study with 35 years follow-up on overweight among Inuit in Greenland. METHODS: The heights and weights of 97% of all inhabitants in Eastgreenland in 1963 (n=1852) were recovered recently and BMI calculated. We obtained similar data in 96% of the 50-69-year-old population in Eastgreenland in 1998 and in a random sample of 25% of individuals aged 50-69 years in the capital Nuuk (n=535). RESULTS: Overweight or obesity, as defined by the World Health Organization (WHO), was found in 30% of all men and 22% of all women in Eastgreenland in 1963, and in 31% of young Inuit hunters in 1963. Such high rates were incompatible with a hunter's way of living. Inuit-specific BMI norms from data on healthy Inuit aged 20-29 years in 1963 were computed: men, 20.2-27.9; women, 17.9-27.7. These differed from the WHO classification (P<0.001). Using the Inuit-specific BMI norm for the classification of 50-69-year-old Inuit in 1963 and 1998, the fraction of overweight men increased by over six times (4.0 to 25.6%; P<0.001), and overweight increased with Westernization (P=0.001). The fraction of overweight women by the Inuit BMI norm doubled from 1963 to 1998 (14.0 to 30.7%; P<0.001) while median BMI remained unaltered (P=0.22) because the fraction of slim women more than doubled (3.5 to 9.0%; P<0.001). CONCLUSION: A steep increase in the fraction of overweight Inuit men and women calls for intervention. Westernization predicted increased BMI. In women the increased number of obese people was accompanied by an increased fraction of slim people. This illustrates that transition can be modified and indicates that monitoring of populations in transition should observe gender differences. Finally, the historical data argue against the global applicability of the WHO delineation of normal BMI.
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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 | 0.002 | 0.000 |
| 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".