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Cited by 117Nutritional Studies and DietDiabetes, Cardiovascular Risks, and LipoproteinsDiet, Metabolism, and Disease

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Frequent Salad Vegetable Consumption Is Associated with A Reduction in the Risk of Diabetes Mellitus

Williams, Desmond E.M, Wareham, Nicholas J, Cox, Brian D, Byrne, Christopher D, Hales, C.Nicholas, Day, Nicholas E·1999·Journal of Clinical Epidemiology
DOI 10.1016/s0895-4356(99)00006-2
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Abstract

This cross-sectional study was undertaken to investigate the association between the reported frequency of consumption of vegetables and fruits, the choice of staple carbohydrate, and glucose intolerance. One thousand one hundred twenty-two subjects aged 40-64 years in a population-based study underwent an oral glucose tolerance test, and their food consumption was assessed using a food-frequency questionnaire. The crude prevalence of undiagnosed non-insulin-dependent diabetes mellitus (NIDDM) was 4.5%, and that of impaired glucose tolerance (IGT) 16.8%. The age-standardized prevalence rates were 2.3 and 11.2%, respectively. Frequent consumption of vegetables throughout the year was inversely associated with the risk of having NIDDM (odds ratio [OR] = 0.16; 95% confidence interval [CI] = 0.04-0.69). This association was maintained after adjustment for age, gender, and family history. Vegetable consumption during the summer months had a much weaker inverse association with the risk of having NIDDM that failed to reach statistical significance. A nonsignificant inverse association between frequent consumption of fruits and NIDDM was observed. Frequent self-reported pasta and rice consumption was associated with a reduction in the risk of having IGT and NIDDM. (OR = 0.62, 95% CI = 0.44-0.87, and OR = 0.51, 95% CI = 0.27-0.99, respectively) but this relationship was not independent of age. Whether these associations reflect specific effects of particular nutrients or are a reflection of the patterning of lifestyle factors remains to be determined.

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Crossref · 10.1016/s0895-4356(99)00006-2

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Research works printed but not linked: 3

  1. Himsworth, 1949, Diet in the aetiology of human diabetes in the cause of diabetes, Proc R Soc Med, 42, 323
  2. Cox BD, Blaxter M, Buckle ALJ, Fenner NP, Golding JF, Gore M, et al., Eds. The Health and Lifestyle Survey: Preliminary Report. Cambridge, UK: Health Promotion Research Trust; 1987.
  3. Yarnell, 1983, A short dietary questionnaire for use in an epidemiological survey, Hum Nutr Appl Nutr, 37A, 103

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Metadata

Authors
Williams, D. E. M., Wareham, N. J., Cox, B. D., Byrne, C. D., Hales, C. N., & Day, N. E.
Affiliations
University of Cambridge (GB)
Corresponding author
Wareham, Nicholas J
ORCID
Venue
Journal of Clinical Epidemiology
Publisher
Elsevier BV
Published
1999-04
Volume
52
Issue
4
Pages
329-335
ISSN
0895-4356 (ISSN-L)
DOI
10.1016/s0895-4356(99)00006-2
OpenAlex
W2029700760
Cited by
117
References
29
Citations by year
2024: 3 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 2 · 2017: 5 · 2016: 2 · 2015: 3 · 2014: 3 · 2013: 6 · 2012: 3
FWCI
6.33
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Journal of Clinical Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • 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
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
Keywords
diabetes mellitus, type 2 diabetes, impaired glucose tolerance, fruit consumption, pasta, rice, oral glucose tolerance test, seasonal diet variation, undiagnosed diabetes, middle-aged adults
MeSH terms
Adult, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Diet, Diet Surveys, Female, Fruit, Glucose Tolerance Test, United Kingdom, Humans, Male, Middle Aged, Surveys and Questionnaires, Seasons, Vegetables, Body Mass Index, Prevalence, Logistic Models

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