Dietary energy density predicts the risk of incident type 2 diabetes the european prospective investigation of cancer (EPIC)-norfolk study

Diabetes Care

Volumn 31, Issue 11, 2008, Pages 2120-2125

  Wang, Jing ^a,b   Luben, Robert ^c   Khaw, Kay Tee ^c   Bingham, Sheila ^c   Wareham, Nicholas J ^a   Forouhi, Nita G ^a  

^a INSTITUTE OF METABOLIC SCIENCE   (United Kingdom)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; BODY MASS; CALORIC INTAKE; COHORT ANALYSIS; FEMALE; FLUID INTAKE; FOLLOW UP; FOOD FREQUENCY QUESTIONNAIRE; FOOD INTAKE; HUMAN; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; PROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; SEX DIFFERENCE; DIET; EUROPE; INCIDENCE; MIDDLE AGED; QUESTIONNAIRE;

ADULT; AGED; DIABETES MELLITUS, TYPE 2; DIET SURVEYS; ENERGY INTAKE; EUROPE; FOLLOW-UP STUDIES; HUMANS; INCIDENCE; MIDDLE AGED; PROSPECTIVE STUDIES; QUESTIONNAIRES; RISK FACTORS;

EID: 59249097665     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc08-1085     Document Type: Article

References (22)

1. Yao M, Roberts SB: Dietary energy density and weight regulation. Nutr Rev 59:247-258, 2001
2. Johnson L, Mander AP, Jones LR, Emmett PM, Jebb SA: A prospective analysis of dietary energy density at age 5 and 7 years and fatness at 9 years among UK children. Int J Obes (Lond) 32:586-592, 2008
3. Mendoza JA, Drewnowski A, Christakis DA: Dietary energy density is associated with obesity and the metabolic syndrome in U.S. adults. Diabetes Care 30:974-979, 2007
4. Lindstrom J, Peltonen M, Eriksson JG, Louheranta A, Fogelholm M, Uusitupa M, Tuomilehto J: High-fibre, low-fat diet predicts long-term weight loss and decreased type 2 diabetes risk: the Finnish Diabetes Prevention Study. Diabetologia 49:912-920, 2006
5. Day N, Oakes S, Luben R, Khaw KT, Bingham S, Welch A, Wareham N: EPIC-Norfolk: study design and characteristics of the cohort: European Prospective Investigation of Cancer. Br J Cancer 80 (Suppl. 1):95-103, 1999
6. Welch AA, Luben R, Khaw KT, Bingham SA: The CAFE computer program for nutritional analysis of the EPIC-Norfolk food frequency questionnaire and identification of extreme nutrient values. J Hum Nutr Diet 18:99-116, 2005
7. Bingham SA, Gill C, Welch A, Cassidy A, Runswick SA, Oakes S, Lubin R, Thurnham DI, Key TJ, Roe L, Khaw KT, Day NE: Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers. Int J Epidemiol 26 (Suppl. 1): S137-S151, 1997
8. Harding AH, Day NE, Khaw KT, Bingham S, Luben R, Welsh A, Wareham NJ: Dietary fat and the risk of clinical type 2 diabetes: the European prospective investigation of Cancer-Norfolk study. Am J Epidemiol 159:73-82, 2004
9. Wareham NJ, Jakes RW, Rennie KL, Schuit J, Mitchell J, Hennings S, Day NE: Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 6:407-413, 2003
10. Willett W, Stampfer MJ: Total energy intake: implications for epidemiologic analyses. Am J Epidemiol 124:17-27, 1986
11. Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA, Prentice AM: Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J ClinNutr 45:569-581, 1991
12. Schofield WN: Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39 (Suppl. 1):5-41, 1985
13. Rennie KL, Coward A, Jebb SA: Estimating under-reporting of energy intake in dietary surveys using an individualised method. Br J Nutr 97:1169-1176, 2007
14. Institute of Medicine of the National Academies: Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, DC, National Academies Press, 2008
15. Diet, Nutrition and the Prevention oj Chronic Diseases. World Health Org., 2003 (Tech. Rep. Ser., no. 916), p. i-149
16. van Dam RM, Willett WC, Rimm EB, Stampfer MJ, Hu FB: Dietary fat and meat intake in relation to risk of type 2 diabetes in men. Diabetes Care 25:417-424, 2002
17. Cox DN, Mela DJ: Determination of energy density of freely selected diets: methodological issues and implications. lnt J Obes Relat Metab Disord 24:49-54, 2000
18. Ledikwe JH, Blanck HM, Khan LK, Serdula MK, Seymour JD, Tohill BC, Rolls BJ: Dietary energy density determined by eight calculation methods in a nationally representative United States population. J Nutr 135:273-278, 2005
19. Kant AK, Graubard BI: Energy density of diets reported by American adults: association with food group intake, nutrient intake, and body weight. lnt J Obes (Lond) 29:950-956, 2005
20. McCaffrey TA, Rennie KL, Kerr MA, Wallace JM, Hannon-Fletcher MP, Coward WA, Jebb SA, Livingstone MB: Energy density of the diet and change in body fatness from childhood to adolescence; is there a relation? Am J Clin Nutr 87:1230-1237, 2008
21. Schulze MB, Manson JE, Ludwig DS, Colditz GA, Stampfer MJ, Willett WC, Hu FB: Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA 292:927-934, 2004
22. Voss S, Kroke A, Klipstein-Grobusch K, Boeing H: Is macronutrient composition of dietary intake data affected by underreporting? Results from the EPIC-Potsdam Study. European Prospective Investigation into Cancer and Nutrition. Eur J Clin Nutr 52: 119-126, 1998