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Associations between Dietary Patterns and Cardiometabolic Risk Factors-A Longitudinal Analysis among High-Risk Individuals for Diabetes in Kerala, India.


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.

SUBMITTER: Cao Y 

PROVIDER: S-EPMC8838960 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Associations between Dietary Patterns and Cardiometabolic Risk Factors-A Longitudinal Analysis among High-Risk Individuals for Diabetes in Kerala, India.

Cao Yingting Y   Huynh Quan Q   Kapoor Nitin N   Jeemon Panniyammakal P   Mello Gabrielli Thais de GT   Oldenburg Brian B   Thankappan Kavumpurathu Raman KR   Sathish Thirunavukkarasu T  

Nutrients 20220204 3


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 usi  ...[more]

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2017-10-26 | GSE95279 | GEO