Relationship Between Dietary Self-Efficacy and Religiosity Among Seventh-Day Adventists in Peru
Bibliographic record
Abstract
BACKGROUND: Most of the studies involving members of the Seventh-Day Adventist Church (SDA) have been conducted in the United States and Canada. AIM: The purpose of the study was to explore the relationship between dietary self-efficacy and religiosity among SDA members in Peru. METHODS: In this online cross-sectional study, 403 participants aged 18 to 59 years selected by convenience were included. The data collected included sociodemographic information. In addition, the Dietary Self-Efficacy Scale (DIET-SE) and the Duke University Index of Religion (DUREL) were administered. A correlation analysis was performed and multiple linear regression was used to examine the association between religiosity, dietary self-efficacy, and sociodemographic variables. RESULTS: Dietary self-efficacy was significantly negatively correlated with all dimensions of religiosity, ie, organized religious activities (ORA), non-organized religious activities (NORA), and intrinsic religiosity (IR). In addition, participants had high dietary self-efficacy and religiosity. CONCLUSION: Although religiosity dimensions did not significantly predict dietary self-efficacy, however, the non-organized religious activities dimension was the strongest predictor of dietary self-efficacy among Adventists in Peru. The present study will serve as a basis for future research to further investigate the potential positive effect of religiosity on the improvement a healthy diet and possible changes in the physical and mental health of the population.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".