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

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journal contribution
posted on 2024-07-12, 02:03 authored by Yingting CaoYingting Cao, Quan HuynhQuan Huynh, N Kapoor, Jeemon PanniyammakalJeemon Panniyammakal, GT de Mello, Brian OldenburgBrian Oldenburg, KR Thankappan, T Sathish
The association between dietary patterns and cardiometabolic risk factors is not well un-derstood 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.

Funding

This research was supported by funding from the National Health and Medical Research Council, Australia for the original (ID 1005324) and follow-up study (ID 1160283) of the K-DPP study, respectively.

History

Publication Date

2022-02-04

Journal

Nutrients

Volume

14

Issue

3

Article Number

662

Pagination

13p.

Publisher

MDPI

ISSN

2072-6643

Rights Statement

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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