ArticleScientific reports2025
Relationship between metabolic syndrome and dietary diversity in the Rafsanjan cohort study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Food literacy as a moderator in the relationship between food security and dietary diversity among adults in Seoul: based on the 2021-2023 Seoul Food Survey.Nutrition research and practice · 2026Article
- Associations Between Dietary Diversity Score and Adiposity Indexes in Obese AdolescentsJournal of clinical research in pediatric endocrinology · 2026Article
- A study on dietary diversification intervention for elderly patients with chronic heart failure who can eat by mouth.Frontiers in nutrition · 2026Article
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Authors and funding
6 authors.
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Abstract
The rapid increase in metabolic syndrome (MetS) as a major public health problem may be attributed to changes in population behavior patterns in modern society, including nutritional habits and physical activity. Therefore, this study investigated the association between dietary diversity score (DDS) and adult metabolic syndrome. In this cross-sectional study, 9715 participants aged 35-70 years from the Rafsanjan Cohort Study (RCS) were included. Demographic, medical, and habitual histories were collected. DDS was calculated using a food frequency questionnaire (FFQ). All analyses were performed using Stata 14, with p-values < 0.05. Based on the DDS, subjects were divided into four groups (quartiles). The multivariate-adjusted model showed that the risk of MetS increased by 18% in the third quartile and by 25% in the fourth quartile (OR: 1.18; 98% CI: 1.02-1.36 and OR: 1.25; 98% CI: 1.06-1.48, respectively). Additionally, an increased risk of high serum triglyceride levels was observed in the third quartile (OR: 1.19; 98% CI: 1.05-1.35). The results suggest that there is a relationship between DDS and metabolic syndrome, although this relationship changed after adjusting for confounders.
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