Barriers to increasing fruit and vegetable intakes in the older population of Northern Ireland: low levels of liking and low awareness of current recommendations
Bibliographic record
Abstract
OBJECTIVE: To investigate barriers to increasing fruit and vegetable (f + v) intakes in a large sample of the older population of Northern Ireland (NI), in relation to current intakes. DESIGN: The study was conducted using a telephone survey assessing f + v intakes, barriers to increasing intakes and various demographic and lifestyle characteristics. Barriers to increasing intakes were investigated using twenty-two closed-response items and one open-response item. SETTING: NI. SUBJECTS: Four hundred and twenty-six older people from NI, representative of the older population of NI. RESULTS: Principal component analysis of the twenty-two closed-response items revealed five factors affecting f + v consumption. Significant associations with current intakes were found where greater f + v consumption was associated with greater 'liking' for f + v (B = 0.675, P < 0.01), greater 'awareness of current recommendations' for consumption (B = 0.197, P < 0.01) and greater 'willingness to change' (B = 0.281, P < 0.01). 'Ease of consumption' and 'difficulties in achieving consumption' were not associated with f + v intakes. Similar associations between f + v intakes and 'liking' and 'awareness' were also found in those consuming low intakes of f + v or those at risk of consuming low intakes. Low awareness and knowledge of recommendations were also found in response to the open-ended question in all groups, although some weight was also given here to environmental difficulties, such as cost and access. CONCLUSIONS: These findings suggest that interventions aiming to increase f + v intakes in the older population of NI should focus predominantly on improving liking and improving knowledge and awareness of current recommendations.
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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".