Diet-Wide Association Study for the Incidence of Type 2 Diabetes Mellitus in Community-Dwelling Adults Using the UK Biobank Data

Author:

Liu Jiahao12ORCID,Shang Xianwen23,Chen Yutong4,Tang Wentao5,Yusufu Mayinuer12,Chen Ziqi16,Chen Ruiye12,Hu Wenyi12,Jan Catherine12,Li Li12,He Mingguang278,Zhu Zhuoting2,Zhang Lei191011ORCID

Affiliation:

1. Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia

2. Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia

3. Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China

4. Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, VIC 3800, Australia

5. Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia

6. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3053, Australia

7. Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, VIC 3052, Australia

8. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China

9. Department of Nephrology, State Key Laboratory of Reproductive Medicine, Children’s Hospital of Nanjing Medical University, Nanjing 210008, China

10. Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia

11. Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC 3168, Australia

Abstract

This longitudinal study used diet-wide association studies (DWAS) to investigate the association between diverse dietary food and nutrient intakes and the onset of type 2 diabetes mellitus (T2DM). Out of 502,505 participants from the UK Biobank, 119,040 with dietary data free of T2DM at the baseline were included, and 3241 developed T2DM during a median follow-up of 11.7 years. The DWAS analysis, which is based on Cox regression models, was used to analyse the associations between dietary food or nutrient intake factors and T2DM risk. The study found that 10 out of 225 dietary factors were significantly associated with the T2DM risk. Total alcohol (HR = 0.86, 0.85–0.92, p = 1.26 × 10−32), red wine (HR = 0.89, 0.88–0.94, p = 7.95 × 10−19), and fresh tomatoes (HR = 0.92, 0.89–0.94, p = 2.3 × 10−11) showed a negative association with T2DM risk, whereas sliced buttered bread exhibited a positive association. Additionally, 5 out of 21 nutrient intake variables revealed significant associations with the T2DM risk, with iron having the highest protective effect and starch as a risk factor. In conclusion, DWAS is an effective method for discovering novel associations when exploring numerous dietary variables simultaneously and could provide valuable insight into future dietary guidance for T2DM.

Funder

Fundamental Research Funds of the State Key Laboratory of Ophthalmology, Project of Investigation on Health Status of Employees in Financial Industry in Guangzhou, China

Science and Technology Program of Guangzhou, China

University of Melbourne at Research Accelerator Program

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

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