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Dietary patterns, insulin sensitivity and adiposity in the multi-ethnic Insulin Resistance Atherosclerosis Study population.

Abstract

Epidemiological investigations increasingly employ dietary-pattern techniques to fully integrate dietary data. The present study evaluated the relationship of dietary patterns identified by cluster analysis with measures of insulin sensitivity (SI) and adiposity in the multi-ethnic, multi-centre Insulin Resistance Atherosclerosis Study (IRAS, 1992-94). Cross-sectional data from 980 middle-aged adults, of whom 67 % had normal and 33 % had impaired glucose tolerance, were analysed. Usual dietary intake was obtained by an interviewer-administered, validated food-frequency questionnaire. Outcomes included SI, fasting insulin (FI), BMI and waist circumference. The relationship of dietary patterns to log(SI+1), log(FI), BMI and waist circumference was modelled with multivariable linear regressions. Cluster analysis identified six distinct diet patterns--'dark bread', 'wine', 'fruits', 'low-frequency eaters', 'fries' and 'white bread'. The 'white bread' and the 'fries' patterns over-represented the Hispanic IRAS population predominantly from two centres, while the 'wine' and 'dark bread' groups were dominated by non-Hispanic whites. The dietary patterns were associated significantly with each of the outcomes first at the crude, clinical level (P<0.001). Furthermore, they were significantly associated with FI, BMI and waist circumference independent of age, sex, race or ethnicity, clinic, family history of diabetes, smoking and activity (P<0.004), whereas significance was lost for SI. Studying the total dietary behaviour via a pattern approach allowed us to focus both on the qualitative and quantitative dimensions of diet. The present study identified highly consistent associations of distinct dietary patterns with measures of insulin resistance and adiposity, which are risk factors for diabetes and heart disease.

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  • Authors+Show Affiliations

    ,

    Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia 29208, USA. Liese@sc.edu

    , ,

    Source

    The British journal of nutrition 92:6 2004 Dec pg 973-84

    MeSH

    Adipose Tissue
    Adult
    Aged
    Arteriosclerosis
    Body Mass Index
    Bread
    Cluster Analysis
    Cross-Sectional Studies
    Dairy Products
    Diabetes Mellitus, Type 2
    Diet
    Energy Intake
    Female
    Fruit
    Glucose
    Humans
    Insulin
    Insulin Resistance
    Male
    Middle Aged
    Obesity
    Vegetables
    Wine

    Pub Type(s)

    Journal Article
    Multicenter Study
    Research Support, Non-U.S. Gov't
    Research Support, U.S. Gov't, P.H.S.

    Language

    eng

    PubMed ID

    15613260

    Citation

    Liese, Angela D., et al. "Dietary Patterns, Insulin Sensitivity and Adiposity in the Multi-ethnic Insulin Resistance Atherosclerosis Study Population." The British Journal of Nutrition, vol. 92, no. 6, 2004, pp. 973-84.
    Liese AD, Schulz M, Moore CG, et al. Dietary patterns, insulin sensitivity and adiposity in the multi-ethnic Insulin Resistance Atherosclerosis Study population. Br J Nutr. 2004;92(6):973-84.
    Liese, A. D., Schulz, M., Moore, C. G., & Mayer-Davis, E. J. (2004). Dietary patterns, insulin sensitivity and adiposity in the multi-ethnic Insulin Resistance Atherosclerosis Study population. The British Journal of Nutrition, 92(6), pp. 973-84.
    Liese AD, et al. Dietary Patterns, Insulin Sensitivity and Adiposity in the Multi-ethnic Insulin Resistance Atherosclerosis Study Population. Br J Nutr. 2004;92(6):973-84. PubMed PMID: 15613260.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - Dietary patterns, insulin sensitivity and adiposity in the multi-ethnic Insulin Resistance Atherosclerosis Study population. AU - Liese,Angela D, AU - Schulz,Mandy, AU - Moore,Charity G, AU - Mayer-Davis,Elizabeth J, PY - 2004/12/23/pubmed PY - 2005/2/4/medline PY - 2004/12/23/entrez SP - 973 EP - 84 JF - The British journal of nutrition JO - Br. J. Nutr. VL - 92 IS - 6 N2 - Epidemiological investigations increasingly employ dietary-pattern techniques to fully integrate dietary data. The present study evaluated the relationship of dietary patterns identified by cluster analysis with measures of insulin sensitivity (SI) and adiposity in the multi-ethnic, multi-centre Insulin Resistance Atherosclerosis Study (IRAS, 1992-94). Cross-sectional data from 980 middle-aged adults, of whom 67 % had normal and 33 % had impaired glucose tolerance, were analysed. Usual dietary intake was obtained by an interviewer-administered, validated food-frequency questionnaire. Outcomes included SI, fasting insulin (FI), BMI and waist circumference. The relationship of dietary patterns to log(SI+1), log(FI), BMI and waist circumference was modelled with multivariable linear regressions. Cluster analysis identified six distinct diet patterns--'dark bread', 'wine', 'fruits', 'low-frequency eaters', 'fries' and 'white bread'. The 'white bread' and the 'fries' patterns over-represented the Hispanic IRAS population predominantly from two centres, while the 'wine' and 'dark bread' groups were dominated by non-Hispanic whites. The dietary patterns were associated significantly with each of the outcomes first at the crude, clinical level (P<0.001). Furthermore, they were significantly associated with FI, BMI and waist circumference independent of age, sex, race or ethnicity, clinic, family history of diabetes, smoking and activity (P<0.004), whereas significance was lost for SI. Studying the total dietary behaviour via a pattern approach allowed us to focus both on the qualitative and quantitative dimensions of diet. The present study identified highly consistent associations of distinct dietary patterns with measures of insulin resistance and adiposity, which are risk factors for diabetes and heart disease. SN - 0007-1145 UR - https://www.unboundmedicine.com/medline/citation/15613260/full_citation L2 - https://www.cambridge.org/core/product/identifier/S0007114504002612/type/journal_article DB - PRIME DP - Unbound Medicine ER -