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Cited by 27Food composition and propertiesNutritional Studies and DietDiabetes, Cardiovascular Risks, and Lipoproteins

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Association of dietary fiber intake with newly-diagnosed type 2 diabetes mellitus in middle-aged Chinese population

Open access
Jin, Fubi, Zhang, Jinghong, Shu, Long, Han, Wei·2021·Nutrition Journal
DOI 10.1186/s12937-021-00740-2PMC PMC8477519
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Abstract

Background: Epidemiological evidence concerning dietary fiber on newly-diagnosed type 2 diabetes mellitus (T2DM) is sparse. Therefore, the purpose of this study was to investigate the relationship between dietary fiber intake and newly-diagnosed T2DM in a middle-aged Chinese population. Methods: Using data from the Hangzhou Nutrition and Health Survey collected between June 2015 and December 2016, we investigated the associations between dietary patterns and the risk of chronic non- communicable diseases. Anthropometric measurements and samples collection for biochemical assays are conducted by the well-trained staff and nurse, respectively. Multivariable logistic regression analysis was used to analyze the effect of dietary fiber intake on the risk of newly-diagnosed T2DM in crude and adjusted models. Results: Among 3250 participants, 182 (5.6%) people were identified as newly-diagnosed T2DM. Pearson correlation coefficients revealed a significant inverse association of total dietary fiber with BMI, SBP, DBP, HbA1c and LDL-C in all participants, participants with and without T2DM ( P < 0.05). Compared with the study participants in the first quartile (Q1, the lowest consumption)of dietary fiber intake, participants in the fourth quartile (Q4) had a lower prevalence of newly-diagnosed T2DM(OR = 0.70; 95%CI:0.49-1.00; P < 0.05), after adjustment for potential confounders. Conclusions: In this middle-aged Chinese population, higher intake of dietary fiber was significantly associated with lower risk of newly-diagnosed T2DM. However, our findings need to be confirmed in future large-scale prospective studies.

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Research works printed but not linked: 27

  1. Horlyck-Romanovsky MF, Sumner AE. Treating T2DM by ensuring insulin access is a global challenge. Nat Rev Endocrinol. 2019;15:135–7. · DOI
  2. International Diabetes Federation. IDF Diabetes Atlas-8th edition. Diabetes Atlas. 2017. http://diabetesatlas.org/resources/2017-atlas.html.
  3. Yang SH, Dou KF, Song WJ. Prevalence of diabetes among men and women in China. N Engl J Med. 2010;362:1090–101. · DOI · Paper page
  4. Zimmet P, Shi Z, El-Osta A, Ji L. Epidemic T2DM, early development and epigenetics: implications of the Chinese famine. Nat Rev Endocrinol. 2018;14:738–46. · DOI
  5. Zhang N, Du SM, Ma GS. Current lifestyle factors that increase risk of T2DM in China. Eur J Clin Nutr. 2017;71:832–8. · DOI
  6. Shu L, Shen XM, Li C, Zhang XY, Zheng PF. Dietary patterns are associated with type 2 diabetes mellitus among middle-aged adults in Zhejiang Province, China. Nutr J. 2017;16:81. · DOI
  7. Yao B, Fang H, Xu W, et al. Dietary fiber intake and risk of type 2 diabetes: a dose-response analysis of prospective studies. Eur J Epidemiol. 2014;29:79–88. · DOI · Paper page
  8. Kyrø C, Tjønneland A, Overvad K, et al. Higher Whole-Grain Intake Is Associated with Lower Risk of Type 2 Diabetes among Middle-Aged Men and Women: The Danish Diet, Cancer, and Health Cohort. J Nutr. 2018;148:1434–44. · DOI
  9. Wannamethee SG, Whincup PH, Thomas MC, Sattar N. Associations between dietary fiber and inflammation, hepatic function, and risk of type 2 diabetes in older men: potential mechanisms for the benefits of fiber on diabetes risk. Diabetes Care. 2009;32:1823–5. · DOI
  10. Hindy G, Sonestedt E, Ericson U, Jing XJ, Zhou Y, Hansson O, et al. Role of TCF7L2 risk variant and dietary fibre intake on incident type 2 diabetes. Diabetologia. 2012;55:2646–54. · DOI
  11. Hopping BN, Erber E, Grandinetti A, et al. Dietary fiber, magnesium, and glycemic load alter risk of type 2 diabetes in a multiethnic cohort in Hawaii. J Nutr. 2010;140:68–74. · DOI
  12. Lindström J, Peltonen M, Eriksson JG, Louheranta A, Fogelholm M, Uusitupa M, et al. High-fibre, low-fat diet predicts long term weight loss and decreased type 2 diabetes risk: the Finnish diabetes prevention study. Diabetologia. 2006;49:912–20. · DOI · Paper page
  13. Montonen J, Knekt P, Järvinen R, Aromaa A, Reunanen A. Whole-grain and fiber intake and the incidence of type 2 diabetes. Am J Clin Nutr. 2003;77:622–9. · DOI
  14. Zheng PF, Shu L, Zhang XY, et al. Association between dietary patterns and the risk of hypertension among Chinese: a cross-sectional study. Nutrients. 2016;8:239. · DOI
  15. Institute of Nutrition and Food Safety, China CDC. China Food Composition 2002. Beijing: Peking University Medical Press; 2002.
  16. Esmaillzadeh A, Kimiaqar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC. Dietary patterns, insulin resistance, and prevalence of the metabolic syndrome in women. Am J Clin Nutr. 2007;85:910–8. · DOI
  17. Yu XL, Shu L, Shen XM, Zhang XY, Zheng PF. Gender difference on the relationship between hyperuricemia and nonalcoholic fatty liver disease among Chinese: An observational study. Medicine (Baltimore). 2017;96:e8164. · DOI
  18. Zhai F, Wang H, Du S, He Y, Wang Z, Ge K, et al. Prospective study on nutrition transition in China. Nutr Rev. 2009;67(Suppl 1):S56–61. · DOI
  19. McGill CR, Fulgoni VL 3rd, Devareddy L. Ten-year trends in fiber and whole grain intakes and food sources for the United States population: national health and nutrition examination survey 2001-2010. Nutrients. 2015;7(2):1119–30. · DOI · Paper page
  20. US Department of Agriculture and US Department of Health and Human Services. Dietary guidelines for Americans, 2010 7th Edition.
  21. Wen W, Shu XO, Li H, Yang G, Ji BT, Cai H, et al. Dietary carbohydrates, fiber, and breast cancer risk in Chinese women. Am J Clin Nutr. 2009;89:283–9. · DOI
  22. Silva FM, Kramer CK, de Almeida JC, et al. Fiber intake and glycemic control in patients with type 2 diabetes mellitus: a systematic review with metaanalysis of randomized controlled trials. Nutr Rev. 2013;71:790–801. · DOI
  23. Jiang J, Qiu H, Zhao G, et al. Dietary fiber intake is associated with HbA1c level among prevalent patients with type 2 diabetes in Pudong New Area of Shanghai, China. PLoS One. 2012;7:e46552. · DOI
  24. Francelino Andrade E, Vieira Lobato R, Vasques Araujo T, et al. Effect of beta-glucans in the control of blood glucose levels of diabetic patients: a systematic review. Nutr Hosp. 2014;31:170–7.
  25. Liu S, Willett WC, Manson JE, Hu FB, Rosner B, Colditz G. Relation between changes in intakes of dietary fiber and grainproducts and changes in weight and development of obesityamong middle-aged women. Am J Clin Nutr. 2003;78:920–7. · DOI · Paper page
  26. Musso G, Gambino R, De Michieli F, Cassader M, Rizzetto M, Durazzo M, et al. Dietary habits and their relations to insulin resistance and postprandial lipemia in nonalcoholic steatohepatitis. Hepatology. 2003;37:909–16. · DOI
  27. Liese AD, Roach AK, Sparks KC, et al. Whole-grain intakeand insulin sensitivity: the insulin resistance AtherosclerosisStudy. Am J Clin Nutr. 2003;78:965–71. · DOI

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Metadata

Authors
Jin, F., Zhang, J., Shu, L., & Han, W.
Affiliations
Zhejiang Hospital (CN)
Corresponding author
Han, Wei
ORCID
Venue
Nutrition Journal
Publisher
Springer Science and Business Media LLC
Published
2021-09-27
Volume
20
Issue
1
Pages
81-81
ISSN
1475-2891 (ISSN-L)
DOI
10.1186/s12937-021-00740-2
PMC
PMC8477519
OpenAlex
W3204465957
Cited by
27
References
4
Citations by year
2026: 5 · 2025: 5 · 2024: 8 · 2023: 7 · 2022: 2
FWCI
2.63
Type
journal article
Language
en
Open access
Licence
Locations
  • Nutrition Journal (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • the joint construction of projects by provinces and the ministry of education (2014PYA002)
  • Traditional Chinese Medicine Research Project of Zhejiang (2020ZB009)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
dietary fiber intake, type 2 diabetes, newly diagnosed diabetes, middle-aged adults, Chinese population, diabetes risk, dietary habits, glycemic control, HbA1c, LDL cholesterol, blood pressure, body mass index
MeSH terms
China, Diabetes Mellitus, Type 2, Dietary Fiber, Humans, Middle Aged, Prospective Studies, Risk Factors

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