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

  • Angela D. Liese (a1), Mandy Schulz (a1) (a2), Charity G. Moore (a1) and Elizabeth J. Mayer-Davis (a1) (a3)
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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Corresponding author
*Corresponding author: Dr Angela D. Liese, fax +1 803 777 2524, email, Liese@sc.edu
References
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Akin JS, Guilkey DK, Popkin BM & Fanelli MT (1986) Cluster analysis of food consumption patterns of older Americans. J Am Diet Assoc 86, 616624.
Bergman RN, Finegood DT & Ader M (1985) Assessment of insulin sensitivity in vivo. Endocr Rev 6, 4586.
Borrud LG, McPherson RS, Nichaman MZ, Pillow PC & Newell GR (1989) Development of a food frequency instrument: ethnic differences in food sources. Nutr Cancer 12, 201211.
Coates RJ & Monteilh CP (1997) Assessments of food-frequency questionnaires in minority populations. Am J Clin Nutr 65, 1108S1115S.
Dallongeville J, Marecaux N, Ducimetiere P, Ferrieres J, Arveiler D, Bingham A, Ruidavets JB, Simon C & Amouyel P (1998) Influence of alcohol consumption and various beverages on waist girth and waist-to-hip ratio in a sample of French men and women. Int J Obes Relat Metab Disord 22, 11781183.
Duncan BB, Chambless LE, Schmidt MI, Folsom AR, Szklo M, Crouse JR, III Carpenter MA (1995) Association of the waist-to-hip ratio is different with wine than with beer or hard liquor consumption. Atherosclerosis Risk in Communities Study Investigators. Am J Epidemiol 142, 10341038.
Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC & Hu FB (2001) Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr 73, 6167.
Herbert V, Lau KS, Gottlieb CW & Bleicher SJ (1965) Coated charcoal immunoassay of insulin. J Clin Endocrinol Metab 25, 13751384.
Hu FB, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, Sampson L & Willett WC (1999) Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 69, 243249.
Hu FB, Rimm EB, Stampfer MJ, Ascherio A, Spiegelman D & Willett WC (2000) Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 72, 912921.
Hu FB & Willett WC (2001) Diet and coronary heart disease: findings from the Nurses' Health Study and Health Professionals' Follow-up Study. J Nutr Health Aging 5, 132138.
Jacobs DR, Jr Steffen LM (2003) Nutrients, foods, and dietary patterns as exposures in research: a framework for food synergy. Am J Clin Nutr 78, 508S513S.
Kleinbaum D, Kupper LL & Muller KE (1988) Applied Regression Analysis and Other Multivariable Methods. Boston, MA: PWS-KENT Publishing Company.
Liese AD, Roach AK, Sparks KC, Marquart L, D'Agostino RB Jr & Mayer-Davis EJ (2003) Whole-grain intake and insulin sensitivity: the Insulin Resistance Atherosclerosis Study. Am J Clin Nutr 78, 965971.
Manson JE, Nathan DM, Krolewski AS, Stampfer MJ, Willett WC & Hennekens CH (1992) A prospective study of exercise and incidence of diabetes among US male physicians. JAMA 268, 6367.
Maskarinec G, Novotny R & Tasaki K (2000) Dietary patterns are associated with body mass index in multiethnic women. J Nutr 130, 30683072.
Mayer-Davis EJ, D'Agostino R Jr, Karter AJ, Haffner SM, Rewers MJ, Saad M, Bergman RN (1998) Intensity and amount of physical activity in relation to insulin sensitivity: the Insulin Resistance Atherosclerosis Study. JAMA 279, 669674.
Mayer-Davis EJ, Vitolins MZ, Carmichael SL, Hemphill S, Tsaroucha G, Rushing J & Levin S (1999) Validity and reproducibility of a food frequency interview in a Multi-Cultural Epidemiology Study. Ann Epidemiol 9, 314324.
Millen BE, Quatromoni PA, Copenhafer DL, Demissie S, O'Horo CE, D'Agostino RB (2001) Validation of a dietary pattern approach for evaluating nutritional risk: the Framingham Nutrition Studies. J Am Diet Assoc 101, 187194.
Morrison DF (1990) Multivariate Statistical Methods, 3rd ed. New York: McGraw-Hill
Newby PK, Muller D, Hallfrisch J, Qiao N, Andres R & Tucker KL (2003) Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr 77, 14171425.
Pacini G & Bergman RN (1986) MINMOD: a computer program to calculate insulin sensitivity and pancreatic responsivity from the frequently sampled intravenous glucose tolerance test. Comput Methods Programs Biomed 23, 113122.
Pryer JA, Nichols R, Elliot P, Thakrar B, Brunner E & Marmot M (2001) Dietary patterns among a national random sample of British adults. J Epidemiol Community Health 55, 2937.
Romesburg HC (1984) Cluster Analysis for Researchers. Belmont, CA Lifetime Learning Publications
Rosner B (2000) Fundamentals of Biostatistics 5th ed. Pacific Grove, CA Duxbury Press
Saad MF, Anderson RL, Laws A, Watanabe RM, Kades WW, Chen YD, Sands RE, Pei D, Savage PJ & Bergman RN (1994) A comparison between the minimal model and the glucose clamp in the assessment of insulin sensitivity across the spectrum of glucose tolerance. Insulin Resistance Atherosclerosis Study. Diabetes 43, 11141121.
Togo P, Osler M, Sorensen TI & Heitmann BL (2001) Food intake patterns and body mass index in observational studies. Int J Obes Relat Metab Disord 25, 17411751.
Tseng M & DeVellis RF (2001) Fundamental dietary patterns and their correlates among US whites. J Am Diet Assoc 101, 929932.
Tseng M, DeVellis RF, Maurer KR, Khare M, Kohlmeier L, Everhart JE & Sandler RS (2000) Food intake patterns and gallbladder disease in Mexican Americans. Public Health Nutr 3, 233243.
Vadstrup ES, Petersen L, Sorensen TI & Gronbaek M (2003) Waist circumference in relation to history of amount and type of alcohol: results from the Copenhagen City Heart Study. Int J Obes Relat Metab Disord 27, 238246.
van Dam RM, Grievink L, Ocke MC & Feskens EJ (2003) Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am J Clin Nutr 77, 11561163.
van Dam RM, Rimm EB, Willett WC, Stampfer MJ & Hu FB (2002) Dietary patterns and risk for type 2 diabetes mellitus in U. S. men. Ann Intern Med 136, 201209.
Wagenknecht LE, Mayer EJ & Rewers M (1995) The Insulin Resistance Atherosclerosis Study (IRAS) objectives, design, and recruitment results. Ann Epidemiol 5, 464472.
Wirfält E, Mattisson I, Gullberg B & Berglund G (2000) Food patterns defined by cluster analysis and their utility as dietary exposure variables: a report from the Malmo Diet and Cancer Study. Public Health Nutr 3, 159173.
Wirfält E, Hedblad B, Gullberg B, Mattisson I, Andren C, Rosander U, Janzon L & Berglund G (2001) Food patterns and components of the metabolic syndrome in men and women: a cross-sectional study within the Malmo Diet and Cancer cohort. Am J Epidemiol 154, 11501159.
World Health Organization (1985) Diabetes Mellitus. Technical Report Series no. 727 Geneva: WHO.
Yang YJ, Youn JH & Bergman RN (1987) Modified protocols improve insulin sensitivity estimation using the minimal model. Am J Physiol 253, E595E602.
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British Journal of Nutrition
  • ISSN: 0007-1145
  • EISSN: 1475-2662
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