Impact of modernization on adult body composition on five islands of varying economic development in vanuatu
Bibliographic record
Abstract
OBJECTIVE: The Republic of Vanuatu, similar to other South Pacific island nations, is undergoing a rapid health transition as a consequence of modernization. The pace of modernization is uneven across Vanuatu's 63 inhabited islands, resulting in differential impacts on overall body composition and prevalence of obesity among islands, and between men and women. In this study, we investigated (1) how modernization impacts body composition between adult male and female Melanesians living on four islands of varying economic development in Vanuatu, and (2) how body composition differs between adult Melanesians and Polynesians living on rural islands in Vanuatu. METHODS: Anthropometric measurements were taken on adult male and female Melanesians aged 18 years and older (n = 839) on the islands of Ambae (rural), Aneityum (rural with tourism), Nguna (rural with urban access), and Efate (urban) in Vanuatu, in addition to Polynesian adults on Futuna (rural). RESULTS: Mean measurements of body mass and fatness, and prevalence of obesity, were greatest on the most modernized islands in our sample, particularly among women. Additionally, differences between men and women became more pronounced on islands that were more modernized. Rural Polynesians on Futuna exhibited greater body mass, adiposity, and prevalence of obesity than rural Melanesians on Ambae. CONCLUSIONS: We conclude that Vanuatu is undergoing an uneven and rapid health transition resulting in increased prevalence of obesity, and that women are at greatest risk for developing obesity-related chronic diseases in urbanized areas in Vanuatu.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".