ArticleNutrients2022
Associations between Dietary Patterns and Cardiometabolic Risk Factors-A Longitudinal Analysis among High-Risk Individuals for Diabetes in Kerala, India.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Association between dietary patterns and metabolic syndrome and its components in quilombola women: A population-based cross-sectional study in Alagoas, Northeast Brazil.BMC nutrition · 2026Article
- Associations of sociodemographic factors and lifestyle behaviors with the risk of cardiometabolic disease: a population-based study from the European health interview survey in Hungary.BMC public health · 2026Article
- Perceived barriers to healthy eating and self-efficacy among Indian adults at high risk of type 2 diabetes: a secondary analysis of the K-DPP study.Frontiers in nutrition · 2026Article
- Low diet quality increases the genetic risk of high blood cholesterol levels in Asian Indian adults [CURES - 165].PloS one · 2026Article
- Multi-organ multi-omic and gut microbiome markers of fat and sucrose dietary oversupply in cardiometabolic disease.iScience · 2025Article
- Prevalence and risk factors associated with undiagnosed diabetes in India: Insights from NFHS-5 national survey.Journal of global health · 2023Article
- Nutrients and Cardiometabolic Health in Type 2 Diabetes.Nutrients · 2023Article
- Prevalence of Obesity and the Factors Associated with Low Obesity Awareness among Urban Adolescents in Harare, Zimbabwe.Nutrients · 2023Article
- Comparison and recommendation of dietary patterns based on nutrients for Eastern and Western patients with inflammatory bowel disease.Frontiers in nutrition · 2022Review
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Authors and funding
8 authors at 4 institutions in 4 countries.
Funding
Abstract
The association between dietary patterns and cardiometabolic risk factors is not well understood among adults in India, particularly among those at high risk for diabetes. For this study, we analyzed the data of 1007 participants (age 30-60 years) from baseline and year one and two follow-ups from the Kerala Diabetes Prevention Program using multi-level mixed effects modelling. Dietary intake was measured using a quantitative food frequency questionnaire, and dietary patterns were identified using principal component analysis. Two dietary patterns were identified: a "snack-fruit" pattern (highly loaded with fats and oils, snacks, and fruits) and a "rice-meat-refined wheat" pattern (highly loaded with meat, rice, and refined wheat). The "snack-fruit" pattern was associated with increased triglycerides (mg/dL) (β = 6.76, 95% CI 2.63-10.89), while the "rice-meat-refined wheat" pattern was associated with elevated Hb1Ac (percentage) (β = 0.04, 95% CI 0.01, 0.07) and central obesity (OR 1.16, 95% CI 1.01, 1.34). These findings may help inform designing dietary interventions for the prevention of diabetes and improving cardiometabolic risk factors in high-diabetes-risk individuals in the Indian setting.
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