Enculturation, perceived stress, and physical activity: implications for metabolic risk among the Yup'ik – The Center for Alaska Native Health Research Study
Bibliographic record
Abstract
OBJECTIVES: American Indians and Alaska Natives (ANs) report among the lowest levels of physical activity in the USA, but there is very little systematic research examining the determinants of physical activity patterns in these populations. This study investigated the relationships between enculturation (or cultural traditionality), psychosocial stress, and physical activity in a community-based sample of Yup'ik women and men living in rural AN communities. Associations between these variables and several metabolic risk factors were also examined. DESIGN: A sample of 488 Yup'ik participants (284 women and 204 men) from six villages in the Yukon-Kuskokwim Delta region completed a wellness survey and an array of physiological assessments [e.g., body mass index (BMI), blood pressure]. A subset of 179 participants also completed a 3-day pedometer assessment of physical activity. RESULTS: Multivariate linear regression models indicated that participants who were more enculturated (i.e., living more of a traditional lifestyle) and who experienced lower levels of psychosocial stress were significantly more physically active. In turn, both lower levels of psychosocial stress and higher levels of physical activity were associated with lower BMI, lower percent body fat, and lower waist circumference. CONCLUSIONS: Findings underscore the importance of gaining a culturally specific understanding of physical activity patterns in indigenous groups in order to inform effective health promotion strategies.
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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 | 0.001 | 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 | 0.001 | 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) | 0.001 | 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".