Nutrition risk prevalence and associated health and social risk factors in Māori and non‐Māori: Results from the New Zealand Health, Work and Retirement Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To determine the nutrition risk prevalence and associated health and social risk factors amongst community-living Māori and non-Māori older adults in New Zealand. METHODS: As part of the 2014 Health, Work and Retirement postal survey, 2914 community-living older adults (749 Māori) aged 49-87 years completed the Seniors in the Community: Risk Evaluation for Eating and Nutrition (SCREEN II-AB) to determine nutrition risk status and sociodemographic and health measures. RESULTS: Half (50.2%) of Māori and 32.7% of non-Māori were at nutrition risk. Independent risk factors were as follows: for Māori, being unpartnered and rating general health as fair, and for non-Māori, being unpartnered and rating general health as fair or poor, lower life satisfaction, higher number of health conditions and emotional loneliness. CONCLUSIONS: Findings highlight the need for culturally appropriate intervention strategies, which provide opportunity for older adults to eat with others, especially for those who are unpartnered and lonely.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it