Cited by 186Food composition and propertiesNutritional Studies and DietDiet, Metabolism, and Disease

Glycemic index, glycemic load, and cereal fiber intake and risk of type 2 diabetes in US black women

Krishnan, Supriya, Rosenberg, Lynn, Singer, Martha, Hu, Frank B., Djoussé, Luc, Cupples, L. Adrienne, Palmer, Julie R.·2007·Archives of Internal Medicine

Abstract

BACKGROUND: Previous studies of carbohydrate quality and risk of type 2 diabetes mellitus have yielded inconsistent findings. Because diet is in part culturally determined, a study of dietary factors in US black women is of interest. METHODS: We used data from the Black Women's Health Study, a prospective cohort study of 59,000 US black women, to examine the association of glycemic load, glycemic index, and cereal fiber with risk of type 2 diabetes. Diet was assessed at baseline in 1995 with a modified version of the National Cancer Institute-Block food frequency questionnaire. RESULTS: During 8 years of follow-up, there were 1,938 incident cases of diabetes. Cox proportional hazards models were used to estimate incidence rate ratios (IRRs) for quintiles of dietary factors, while controlling for lifestyle and dietary factors. Glycemic index was positively associated with the risk of diabetes: the IRR for the highest quintile relative to the lowest was 1.23 (95% confidence interval [CI], 1.05-1.44). Cereal fiber intake was inversely associated with risk of diabetes, with an IRR of 0.82 (95% CI, 0.70-0.96) for the highest vs lowest quintiles of intake. Stronger associations were seen among women with a body mass index (calculated as weight in kilograms divided by height in meters squared) lower than 25: IRRs for the highest vs lowest quintile were 1.91 (95% CI, 1.16-3.16) for glycemic index (P value for interaction, .12) and 0.41 (95% CI, 0.24-0.72) for cereal fiber intake (P value for interaction, .05). CONCLUSION: Increasing cereal fiber in the diet may be an effective means of reducing the risk of type 2 diabetes, a disease that has reached epidemic proportions in black women.

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Crossref · 10.1001/archinte.167.21.2304

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  • Several studies suggest that diets high in foods with a high glycemic index or load are associated with an increased risk of type 2 diabetes.

    “Several studies suggest that diets high in foods with a high glycemic index or load are associated with an increased risk of type 2 diabetes (28,33).”

    From Diabetes and Cancer (2010) · cites this paper as [33]

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References 26 · Cited by 186

Authors
Krishnan, S., Rosenberg, L., Singer, M., Hu, F. B., Djoussé, L., Cupples, L. A., & Palmer, J. R.
Venue
Archives of Internal Medicine
Published
2007-11-26
Volume
167
Issue
21
Pages
2304
ISSN
0003-9926 (ISSN-L)
OpenAlex
W2018680950
Cited by
186
References
26
Citations by year
2026: 3 · 2025: 3 · 2024: 4 · 2023: 5 · 2022: 2 · 2021: 6 · 2020: 11 · 2019: 10 · 2018: 9 · 2017: 4 · 2016: 6 · 2015: 8 · 2014: 16 · 2013: 18 · 2012: 22
FWCI
11.76
Type
journal article
Language
en
Open access
closed
Locations
  • Archives of Internal Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (5r01dk068738-04)
  • National Cancer Institute (CA 58420)
  • National Institute of Diabetes and Digestive and Kidney Diseases (1R01DK068738)
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 › Diet, Metabolism, and Disease
Keywords
type 2 diabetes, glycemic index, glycemic load, cereal fiber, carbohydrate quality, Black women, body mass index, dietary risk factors, Black Women's Health Study
MeSH terms
Adult, Aged, Black or African American, Blood Glucose, Edible Grain, Diabetes Mellitus, Type 2, Dietary Carbohydrates, Dietary Fiber, Female, Follow-Up Studies, Humans, Middle Aged, Prospective Studies, Surveys and Questionnaires, Risk Factors, United States, Cohort Studies, Body Mass Index, Incidence, Multivariate Analysis, Proportional Hazards Models, Glycemic Index

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