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The association between dietary patterns with type 2 diabetes mellitus and pre-diabetes in the Henan rural cohort study

Bibliographic Data

ID15097048
AuthorsYuan Xue (0000-0002-1442-2058, Zhengzhou University), Chang Liu (0000-0002-1198-6990, Fifth Affiliated Hospital of Zhengzhou University), Bingya Wang (Zhengzhou University), Zhenxing Mao (0000-0002-0327-1696, Zhengzhou University), Songcheng Yu (0000-0002-4486-3962, Zhengzhou University), Yan Wang (0009-0009-9633-0023, Zhengzhou University), Dongdong Zhang (0000-0003-0519-0985, Zhengzhou University), Chongjian Wang (0000-0001-5091-6621, Zhengzhou University), Wenjie Li (0000-0003-4413-5612, Zhengzhou University, corresponding author), Xing Li (0000-0001-5578-3901, Zhengzhou University, corresponding author)
Year2021
Volume24
Issue16
Pages5443-5452
Publication date2021-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980021000227
PMID33472711
OpenAlexW3121292676
LanguageEN
Citations received1
References cited41

Objective: We aimed to investigate whether dietary patterns were associated with the risk of type 2 diabetes mellitus (T2DM) or pre-diabetes in adults of rural area in Henan. Design: Cross-sectional study. Principal component analysis was used to identify dietary patterns, while multivariate logistic regression analysis and restricted cubic spline regression models were used to analyse the association between dietary patterns and both pre-diabetes and T2DM. Setting: Rural area of Henan province, China. Participants: A total of 38 779 adults aged 18–79 years were recruited from the Henan rural cohort study as the subjects. Results: The prevalence of pre-diabetes and T2DM in rural Henan was 6·8 % and 9·4 %, respectively. A total of three dietary patterns were assessed in the present study. Dietary pattern I with a high intake of red meat and white meat; dietary pattern II with a high intake of grains, nuts, milk and eggs and dietary pattern III with a high intake of vegetables, staple food and fruits. The highest quintile (Q5) of pattern III could reduce 32·7 % risk of pre-diabetes. The Q5 of pattern II showed a 15·5 % decreased risk of T2DM, in a U-shaped dose–response manner; meanwhile, the Q5 of pattern III was significantly associated with reduced risks of T2DM (OR: 0·582, 95 % CI (0·497, 0·682)). Conclusions: Pattern III is beneficial for reducing risk of pre-diabetes or T2DM. Though a higher consumption of ‘grains-nuts-egg’ may associate with a reduced risk of T2DM, excessive intakes should be avoided. This study may provide a reference for the prevention of diabetes on dietary precautions

Cohort · Cohort study · Diabetes mellitus · Environmental health · Food group · Logistic regression · Type 2 diabetes · Type 2 Diabetes Mellitus · Demography · Diet and metabolism studies · Medicine · Nutrition, Health and Food Behavior · Nutritional Studies and Diet · Endocrinology · Internal Medicine

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  • Global estimates of the prevalence of diabetes for 2010 and 2030

    Open Access•Jonathan E Shaw, Richard Sicree et al.•Diabetes Research and Clinical…•2010

  • Dose‐response analyses using restricted cubic spline functions in public health research

    Open Access•Loic Desquilbet, François Mariotti•Statistics in Medicine•2010

  • IDF Diabetes Atlas

    Open Access•N H Cho, Jonathan E Shaw et al.•Diabetes Research and Clinical…•2018

  • Classification and Diagnosis of Diabetes

    Open Access•American Diabetes Association•Diabetes Care•2018

  • IDF Diabetes Atlas

    Open Access•David R Whiting, David Whiting et al.•Diabetes Research and Clinical…•2011

  • Prevalence and Control of Diabetes in Chinese Adults

    Yu Xu•JAMA•2013

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  • Vegetarian diets, low-meat diets and health

    Open Access•Claire T McEvoy, Norman Temple et al.•Public Health Nutrition•2012

  • Empirically derived dietary patterns and incident type 2 diabetes mellitus

    Open Access•Zahra Maghsoudi, Reza Ghiasvand et al.•Public Health Nutrition•2016

Unique citing works1
Citations per year0,25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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