Socio-demographic characteristics, diet and health among food insecure UK adults: cross-sectional analysis of the International Food Policy Study
Bibliographic record
Abstract
OBJECTIVE: To estimate food insecurity (FI) prevalence among UK adults and investigate associations with socio-demographic characteristics, diet and health. DESIGN: Weighted cross-sectional survey data. FI was measured using the USDA Adult Food Security Survey Module. Data were analysed using adjusted logistic regression models. SETTING: United Kingdom. PARTICIPANTS: 2551 participants (aged 18-64 years); sub-sample (n 1949) used to investigate association between FI and overweight. RESULTS: FI prevalence was 24·3 %. Higher odds of FI were observed among participants who reported that making ends meet was difficult v. easy (OR 19·76, 95 % CI 13·78, 28·34), were full-time students v. non-students (OR 3·23, 95 % CI 2·01, 5·18), had low v. high education (OR 2·30, 95 % CI 1·66, 3·17), were male v. female (OR 1·36, 95 % CI 1·01, 1·83) and reported their ethnicity as mixed (OR 2·32, 95 % CI 1·02, 5·27) and white other (OR 2·04, 95 % CI 1·04, 3·99) v. white British. Odds of FI were higher in participants living with children v. alone, especially in single-parent households (OR 2·10, 95 % CI 1·19, 3·70). Odds of FI decreased per year of increase in age (OR 0·95, 95 % CI 0·94, 0·96) and were lower in participants not looking for work v. full-time employed (OR 0·60, 95 % CI 0·42, 0·87). Food insecure v. food secure adults had lower odds of consuming fruits (OR 0·59, 95 % CI 0·47, 0·74) and vegetables (OR 0·68, 95 % CI 0·54, 0·86) above the median frequency, and higher odds for fruit juice (OR 1·39, 95 % CI 1·10, 1·75). Food insecure v. food secure adults had higher odds of reporting unhealthy diets (OR 1·65, 95 % CI 1·31, 2·10), poor general health, (OR 1·90, 95 % CI 1·50, 2·41), poor mental health (OR 2·10, 95 % CI 1·64, 2·69), high stress (OR 3·15, 95 % CI 2·42, 4·11) and overweight (OR 1·32, 95 % CI 1·00, 1·75). CONCLUSIONS: FI prevalence was high and varied by socio-demographic characteristics. FI was associated with poorer diet and health.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 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 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".