Issue 18, 2023

Healthy dietary patterns and risk of cardiovascular disease in diabetic patients: a prospective cohort study

Abstract

Purpose: Evidence is limited regarding the associations of different dietary patterns with cardiovascular disease (CVD) risk among the population with diabetes. Thus, we aimed to explore the associations between three dietary patterns and CVD incidence among the population with diabetes. Materials and methods: We prospectively followed 22 473 diabetic patients from the UK Biobank at the baseline. The healthy dietary pattern was derived from a food frequency questionnaire; meanwhile, the Alternate Mediterranean Diet (AMED) and the Dietary Approaches to Stop Hypertension (DASH) diet were assessed based on the Oxford WebQ online 24 h dietary questionnaire. Results: During an average of 10.8 years of follow-up, 5209 incident CVD cases, including 3552 coronary heart disease (CHD) events and 881 strokes, were documented. After multivariate adjustment, a higher healthy diet score was negatively associated with CVD, CHD, and stroke incidence. The hazard ratios and 95% confidence intervals across increasing quintiles of healthy diet score were 0.86 (0.79–0.95), 0.83 (0.75–0.93), and 0.71 (0.57–0.88) for CVD, CHD, and stroke, respectively. A similar protective association with CVD incidence was found for the AMED but not the DASH diet. Conclusions: Adherence to healthy dietary patterns is related to a lower risk of developing CVD among diabetic patients. Our findings further provide vigorous evidence for formulating dietary adherence guidelines for diabetic patients to reduce the burden of CVD complications.

Graphical abstract: Healthy dietary patterns and risk of cardiovascular disease in diabetic patients: a prospective cohort study

Supplementary files

Article information

Article type
Paper
Submitted
17 Apr 2023
Accepted
13 Aug 2023
First published
14 Aug 2023

Food Funct., 2023,14, 8604-8614

Healthy dietary patterns and risk of cardiovascular disease in diabetic patients: a prospective cohort study

X. Liu, Y. Li, Y. Ao, L. Zhang, P. Zhuang, X. Wan, Y. Wu, Y. Zhang and J. Jiao, Food Funct., 2023, 14, 8604 DOI: 10.1039/D3FO01541F

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