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Dietary patterns associated with metabolic syndrome, sociodemographic and lifestyle factors in young adults: the Bogalusa Heart Study

  • Priya R Deshmukh-Taskar (a1), Carol E O’Neil (a2), Theresa A Nicklas (a1), Su-Jau Yang (a1), Yan Liu (a1), Jeanette Gustat (a3) and Gerald S Berenson (a3)...

To examine the association between dietary patterns (DP) and risk for metabolic syndrome (MetS); and to identify differences in DP by socio-economic, demographic and lifestyle factors.


Dietary intake (from an FFQ), anthropometric/biochemical parameters and sociodemographic/lifestyle information (from a self-reported questionnaire) were evaluated, using a cross-sectional design. Statistical methods included principal component factor analysis, analysis of covariance and linear regression. All analyses were covariate-adjusted.


The Bogalusa Heart Study (1995–1996), USA.


Young adults (19–39 years; n 995; 61 % females/39 % males; 80 % whites/20 % blacks) from a semi-rural southern US community were examined.


The ‘Western Dietary Pattern’ (WDP) consisted of refined grains, French fries, high-fat dairy foods, cheese dishes, red meats, processed meats, eggs, snacks, sweets/desserts, sweetened beverages and condiments. The ‘Prudent Dietary Pattern’ (PDP) consisted of whole grains, legumes, vegetables, fruits, 100 % fruit juices, low-fat dairy products, poultry, clear soups and low-fat salad dressings. The DP explained 31 % of the dietary intake variance. Waist circumference (P = 0·02), triceps skinfold (P = 0·01), plasma insulin (P = 0·03), serum TAG (P = 0·05), and the occurrence of MetS (P = 0·03) were all inversely associated with PDP. Insulin sensitivity (P < 0·0005) was positively associated with PDP. Serum HDL cholesterol (P = 0·05) was inversely associated with WDP. Blacks consumed more servings from WDP than whites (P = 0·02). Females consumed more servings from PDP than males (P = 0·002). Those with >12 years of education consumed more servings from PDP than their counterparts (P < 0·0001). Current smokers consumed more servings from WDP than current non-smokers (P < 0·0001). Physically very active young adults consumed fewer servings from WDP than their sedentary counterparts (P = 0·02).


More studies are warranted to confirm these findings in other populations.

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1. FB Hu (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.

3. J Freeland-Graves & S Nitzke (2002) Position of the American Dietetic Association: total diet approach to communicating food and nutrition information. J Am Diet Assoc 102, 100108.

5. SM Grundy , JI Cleeman , SR Daniels (2006) Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Curr Opin Cardiol 21, 16.

6. AJ Hanley , AJ Karter , K Williams , A Festa , RB D’Agostino Jr, LE Wagenknecht & SM Haffner (2005) Prediction of type 2 diabetes mellitus with alternative definitions of the metabolic syndrome: the Insulin Resistance Atherosclerosis Study. Circulation 112, 37133721.

7. SM Grundy (2008) Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol 28, 629636.

9. ES Ford , WH Giles & AH Mokdad (2004) Increasing prevalence of the metabolic syndrome among US adults. Diabetes Care 27, 24442449.

10. TA Nicklas , L Myers , C Reger , B Beech & GS Berenson (1998) Impact of breakfast consumption on nutritional adequacy of the diets of young adults in Bogalusa, Louisiana: ethnic and gender contrasts. J Am Diet Assoc 98, 14321438.

11. MA Pereira , AI Kartashov , CB Ebbeling , L Van Horn , ML Slattery , Dr Jacobs Jr & DS Ludwig (2005) Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 365, 3642.

12. LH Clemens , DL Slawson & RC Klesges (1999) The effect of eating out on quality of diet in premenopausal women. J Am Diet Assoc 99, 442444.

13. P Deshmukh-Taskar , TA Nicklas , SJ Yang & GS Berenson (2007) Does food group consumption vary by differences in socioeconomic status, demographics and lifestyle factors in young adults? The Bogalusa Heart Study. J Am Diet Assoc 107, 223234.

14. CM Champagne , ML Bogle , BB McGee , K Yadrick , HR Allen , TR Kramer , P Simpson , J Gossett & J Weber (2004) Dietary intake in the lower Mississippi delta region: results from the Foods of our Delta Study. J Am Diet Assoc 104, 199207.

15. J Smith , S Lensing , JA Horton , J Lovejoy , S Zaghloul , I Forrester , BB McGee & ML Bogle (1999) Prevalence of self-reported nutrition-related health problems in the Lower Mississippi Delta. Am J Pub Health 89, 14181421.

16. PL Lutsey , LM Steffen & J Stevens (2008) Dietary intake and the development of the metabolic syndrome: the Atherosclerosis Risk in Communities study. Circulation 117, 754761.

17. DB Panagiotakos , C Pitsavos , Y Skoumas & C Stefanadis (2007) The association between food patterns and the metabolic syndrome using principal components analysis: The ATTICA Study. J Am Diet Assoc 107, 979987.

20. L Sonnenberg , M Pencina , R Kimokoti , P Quatromoni , BH Nam , R D’Agostino , JB Meigs , J Ordovas , M Cobain & B Millen (2005) Dietary patterns and the metabolic syndrome in obese and non-obese Framingham women. Obes Res 13, 153162.

22. S Zhu , MP St-Onge , S Heshka & SB Heymsfield (2004) Lifestyle behaviors associated with lower risk of having the metabolic syndrome. Metabolism 53, 15031511.

23. GS Berenson & the Bogalusa Heart Study Investigators (2001) Bogalusa Heart Study: a long-term community study of a rural biracial (black/white) population. Am J Med Sci 322, 293300.

24. HR Rockett , M Breitenbach , AL Frazier , J Witschi , AM Wolf , AE Field & GA Colditz (1997) Validation of a youth/adolescent food frequency questionnaire. Prev Med 26, 808816.

25. HRH Rockett , AM Wolf & GA Colditz (1995) Development and reproducibility of a food frequency questionnaire to assess diets of older children and adolescents. J Am Diet Assoc 95, 336340.

27. A Katz , SS Nambi , K Mather , AD Baron , DA Follmann , G Sullivan & MJ Quon (2000) Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 85, 24022410.

28. DR Mathews , JP Hosker , AS Rudenski , BA Naylor , DF Treacher & RC Turner (1985) Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28, 412419.

30. G Assmann , R Guerra , G Fox , P Cullen , H Schulte , D Willett & SM Grundy (2007) Harmonizing the definition of the metabolic syndrome: comparison of the criteria of the Adult Treatment Panel III and the International Diabetes Federation in United States American and European populations. Am J Cardiol 99, 541548.

31. BE Ainsworth , DR Jacobs Jr & AS Leon (1993) Validity and reliability of self-reported physical activity status: the Lipid Research Clinics questionnaire. Med Sci Sports Exerc 25, 9298.

36. DE Williams , NJ Wareham , BD Cox , CD Byrne , CN Hales & NE Day (1999) Frequent salad vegetable consumption is associated with a reduction in the risk of diabetes mellitus. J Clin Epidemiol 52, 329335.

37. BJ Rolls , JA Ello-Martin & BC Tohill (2004) What can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management? Nutr Rev 62, 117.

38. L Qi , RM van Dam , S Liu , M Franz , C Mantzoros & FB Hu (2006) Whole-grain, bran, and cereal fiber intakes and markers of systemic inflammation in diabetic women. Diabetes Care 29, 207211.

39. MB Zemel , J Richards , A Milstead & P Campbell (2005) Effects of calcium and dairy on body composition and weight loss in African-American adults. Obes Res 13, 12181225.

41. KL Tucker (2004) Dietary intake and coronary heart disease: a variety of nutrients and phytochemicals are important. Curr Treat Opt Cardiovasc Med 6, 291302.

42. J Hallfrisch & KM Behall (2000) Mechanisms of the effects of grains on insulin and glucose responses. J Am Coll Nutr 19, S320S325.

43. LM Steffen , DR Jacobs Jr, MA Murtaugh , A Moran , J Steinberger , CP Hong & AR Sinaiko (2003) Whole grain intake is associated with lower body mass and greater insulin sensitivity among adolescents. Am J Epidemiol 158, 243250.

44. M Yannakoulia , N Yiannakouris , L Melistas , MD Kontogianni , I Malagaris & CS Mantzoros (2008) A dietary pattern characterized by high consumption of whole-grain cereals and low-fat dairy products and low consumption of refined cereals is positively associated with plasma adiponectin levels in healthy women. Metabolism 57, 824830.

45. MA Pereira , DR Jacobs Jr, L Van Horn , ML Slattery , AI Kartashov & DS Ludwig (2002) Dairy consumption, obesity, and the insulin resistance syndrome in young adults: the CARDIA Study. JAMA 287, 20812089.

47. FF Samaha (2005) Effect of very high-fat diets on body weight, lipoproteins, and glycemic status in the obese. Curr Atheroscler Rep 7, 412420.

49. KM Gans , GJ Burkholder , PM Risica & TM Lasater (2003) Baseline fat-related dietary behaviors of white, Hispanic, and black participants in a cholesterol screening and education project in New England. J Am Diet Assoc 103, 699706.

50. E Goodman , NE Adler , SR Daniels , JA Morrison , GB Slap & LM Dolan (2003) Impact of objective and subjective social status on obesity in a biracial cohort of adolescents. Obes Res 11, 10181026.

51. A Drewnowski (2004) Obesity and the food environment: dietary energy density and diet costs. Am J Prev Med 27, S154S162.

54. GE Duncan , SD Anton , RL Newton Jr & MG Perri (2003) Comparison of perceived health to physiological measures of health in black and white women. Prev Med 36, 624628.

55. JC Delahanty , CC DiClemente , S Havas & P Langenberg (2008) Smoking status and stages of change for dietary behaviors among WIC women. Am J Health Behav 32, 583593.

56. ME Martinez , JR Marshall & L Sechrest (1998) Invited commentary: factor analysis and the search for objectivity. Am J Epidemiol 148, 1719.

58. TA Nicklas (1995) Dietary studies of children and young adults (1973–1988): the Bogalusa Heart Study. Am J Med Sci 310, S101S108.

59. F Imamura , AH Lichtenstein , GE Dallal , JB Meigs & PF Jacques (2009) Confounding by dietary patterns of the inverse association between alcohol consumption and type 2 diabetes risk. Am J Epidemiol ; Epublication 8 May 2009.

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