Association of dietary patterns and food groups intake with multimorbidity: A prospective cohort study

Yue Zhang; Hui Chen; Rodrigo M Carrillo-Larco; Carmen C W Lim; Shiva Raj Mishra; Changzheng Yuan; Xiaolin Xu

doi:10.1016/j.clnesp.2022.07.019

Association of dietary patterns and food groups intake with multimorbidity: A prospective cohort study

Clin Nutr ESPEN. 2022 Oct:51:359-366. doi: 10.1016/j.clnesp.2022.07.019. Epub 2022 Aug 7.

Authors

Yue Zhang¹, Hui Chen², Rodrigo M Carrillo-Larco³, Carmen C W Lim⁴, Shiva Raj Mishra⁵, Changzheng Yuan⁶, Xiaolin Xu⁷

Affiliations

¹ School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
² School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
³ Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
⁴ National Centre for Youth Substance Use Research, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia; School of Psychology, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
⁵ Melbourne School of Population and Global Health, University of Melbourne, Australia; Academy for Data Sciences and Global Health, Kathmandu, Nepal.
⁶ School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: chy478@zju.edu.cn.
⁷ School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia. Electronic address: xiaolin.xu@zju.edu.cn.

PMID: 36184228
DOI: 10.1016/j.clnesp.2022.07.019

Abstract

Background: Although diet has been extensively studied in relation to individual chronic conditions, studies linking diet with multiple chronic conditions (multimorbidity) remained scarce. We aimed to undertake a comprehensive analysis evaluating associations of overall dietary patterns and specific food groups with long-term risk of multimorbidity.

Methods: The study included 348,290 participants from UK Biobank who completed eligible food frequency questionnaires (FFQ) and were not diagnosed with any of the 38 chronic or mental health conditions of interest at baseline (2006-2010). Dietary patterns were identified using exploratory factor analysis. Cox regression models were used to estimate corresponding hazard ratios (HRs) and 95% confidence intervals (CIs).

Results: The median follow-up was 8.01 years, and 50,837 (14.60%) participants developed multimorbidity. Among the three identified dietary patterns, the Western Pattern was associated with an increased risk of multimorbidity (HR_{Q5 vs Q1} = 1.06, 95% CI: 1.03-1.09), while inverse associations were observed for moderate adherence to the White Meat Pattern (HR_Q3_{vs Q1} = 0.97, 95% CI: 0.94-0.99) and highest adherence to the Prudent Pattern (HR_{Q5 vs Q1} = 0.92, 95% CI: 0.90-0.95). For specific food groups, more frequent intakes of processed meat and poultry were associated with higher risks of multimorbidity, whereas higher intake frequency of fish and more intakes of fruits and cereal were associated with decreased risks.

Conclusion: Dietary patterns and specific food groups are associated with the risk of multimorbidity. These findings suggest the importance of considering dietary interventions in the prevention and management of multimorbidity.

Keywords: Chronic condition; Dietary pattern; Food group; Multimorbidity.

MeSH terms

Animals
Diet*
Fruit
Meat
Multimorbidity*
Prospective Studies

Abstract

MeSH terms

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