ArticleFrontiers in nutrition2023
Dietary patterns derived using principal component analysis and associations with sociodemographic characteristics and overweight and obesity: A cross-sectional analysis of Iranian adults.
Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- The association between dominant food patterns and the intake of energy and macronutrients with endometriosis in women aged 15-45.BMC nutrition · 2026Article
- Gut microbe's consortium in pregnant women influenced by diet of North-east India: A metagenomic study.Journal of family medicine and primary care · 2025Article
- Adherence to planetary health diet index in relation to dietary diversity score and anthropometric indices among Iranian older adults.BMC public health · 2025Article
- What Factors Influence Obesity in Spain? A Multivariate Analysis of Sociodemographic, Nutritional, and Lifestyle Factors Affecting Body Mass Index in the Spanish Population.Healthcare (Basel, Switzerland) · 2025Article
- The association between nutrient patterns and hospital stay duration and symptoms in COVID-19 in Iranian patients: cross-sectional study.Frontiers in nutrition · 2025Article
- Adverse childhood experiences and subsequent experiences of intimate partner violence in adulthood: a gender perspective.Epidemiology and psychiatric sciences · 2024Article
- Sociodemographic differences in dietary trends among Iranian adults: findings from the 2005-2016 Iran-WHO STEPS survey.Public health nutrition · 2023Article
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6 authors.
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Abstract
Introduction: This study examined the cross-sectional association between household dietary patterns and sociodemographic characteristics and BMI in a nationally representative sample of Iranian adults. Methods: Data on 6,833 households ( Results: Three dietary patterns were identified: the first was characterized by high citrus fruit intake, the second by high hydrogenated fats intake and the third by high non-leafy vegetables intake. The first and third patterns were associated with household heads with higher education and living in urban areas, while the second was associated with household heads with lower education and living in rural areas. All dietary patterns were positively associated with BMI. The strongest association was found with the first dietary pattern (β: 0.49, 95% CI: 0.43, 0.55). Discussion: While all three dietary patterns were positively associated with BMI, the sociodemographic characteristics of Iranian adults who consumed them differed. These findings inform the design of population-level dietary interventions to address rising obesity rates in Iran.
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