The Association between Dietary Diversity Score and Somatoform Complaints Profile among Iranian Adults
Bibliographic record
Abstract
Abstract Background: The present study aimed to investigate the association between dietary diversity score (DDS) and somatoform complaints profile.Methods: The current cross-sectional study was conducted on 2818 adults aged 19-65 years working in Isfahan province, Iran. A Dish-based 106-item Semi-quantitative Food Frequency Questionnaire (DS-FFQ) was used to collect dietary intake of participants. Somatoform symptoms were assessed using a validated comprehensive 31-items questionnaire.Results: After adjusting for the impacts of various confounders it was revealed that lower DDS is associated with higher risk of experiencing greater scores of psychological (OR=1.44, 95% CI: 1.06, 1.95; P=0.029) and pharyngeal-respiratory (OR=1.54, 95% CI: 1.17, 2.04; P=0.009) somatoform complaints. No significant association was found between DDS and neuro-skeletal and gastrointestinal somatoform complaints. In addition, stratified analysis by sex indicated that the lower DDS increased the risk of higher scores of psychological (OR = 1.73, 95% CI = 1.17, 2.56; P = 0.02) and pharyngeal-respiratory (OR = 1.75, 95% CI = 1.22, 2.49, P = 0.007) somatic complaints in women, but not in men.Conclusion: Present study indicated that the lower DDS is associated with higher risk of psychological and pharyngeal-respiratory somatoform complaints. Future prospective studies and particularly clinical trials are warranted to confirm these findings.
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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 | 0.001 | 0.001 |
| 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".