Stages of Change for Increasing Fruit and Vegetable Intake in a Japanese Population
Bibliographic record
Abstract
OBJECTIVE: Thhis study aimed to investigate the reason why people choose to consume less vegetable and fruit through examining how the stage of change and psycho-social parameters relate to vegetable and fruit intake. METHODS: We carried out a cross-sectional study in 4 regions of Japan in which 2308 individuals (1012 men and 1296 women) aged 18 years or older who completed the questionnaires were included in the study. RESULTS: The results showed 56% of the participants were in the precontemplation stage (not thinking about consuming recommended amount of fruit and vegetable) and their average amounts of vegetable and fruit intake were far below the level of current recommendations, and subjects in the precontemplation stage showed lower scores of attitude and self efficacy. Men were more likely to be in precontemplation (67.7%) and less likely to be in action/maintenance stage (7.9%) than women (46.9%, 12.1%, respectively) (p < 0.001). We also observed the scores of attitude (p = 0.06) and self-efficacy (p < 0.01) rose as the stage went up from the precontemplation to action/maintenance for increasing vegetable and fruit intake. Moreover, a linear trend was found toward higher vegetable (p < 0.05) and fruit (p = 0.121) intake from precontemplation to action/maintenance stage. CONCLUSION: The present evidence suggests more attention should be focused on strategy for perceptions of personal need for recommended amount of vegetable and fruit intake for those who are in the precontemplation stage. Moreover, effective programs on enhancement of self-efficacy and attitude toward vegetable and fruit consumption are needed for increasing the vegetable and fruit intake.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".