Differing statistical approaches affect the relation between egg consumption, adiposity, and cardiovascular risk factors in adults

Journal of Nutrition

Volumn 145, Issue 1, 2015, Pages 170S-176S

  Nicklas, Theresa A ^a   O'Neil, Carol E ^b   Fulgoni, Victor L ^c  

^a CHILDREN S NUTRITION RESEARCH CENTER   (United States)

^b LOUISIANA STATE UNIVERSITY AGRICULTURAL CENTER   (United States)

^c Nutrition Impact LLC   (United States)

Author keywords

Adults; Cardiovascular risk factors; Egg consumption; Food patterns; Statistical approaches

Indexed keywords

GLUCOSE; INSULIN; LIPID; LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ADULT; ARTICLE; BEVERAGE; BLOOD PRESSURE; BODY MASS; CARDIOVASCULAR RISK; CONTROLLED STUDY; DIABETES MELLITUS; DIASTOLIC BLOOD PRESSURE; EGG; ENERGY; FAST FOOD; FEMALE; GRAIN; HUMAN; MALE; OBESITY; WAIST CIRCUMFERENCE; ANIMAL; BLOOD; CARDIOVASCULAR DISEASE; CEREAL; DIET; ETHNIC GROUP; FEEDING BEHAVIOR; FISH; MEAT; NUTRITION; POULTRY; RISK FACTOR; STATISTICAL ANALYSIS; YOUNG ADULT;

ADIPOSITY; ADULT; ANIMALS; BLOOD PRESSURE; BODY MASS INDEX; CARDIOVASCULAR DISEASES; CEREALS; CHOLESTEROL, LDL; DATA INTERPRETATION, STATISTICAL; DIET; EGGS; ETHNIC GROUPS; FEMALE; FISHES; FOOD HABITS; HUMANS; MALE; MEAT; NUTRITION SURVEYS; POULTRY; RISK FACTORS; WAIST CIRCUMFERENCE; YOUNG ADULT;

EID: 84919772205     PISSN: 00223166     EISSN: 15416100     Source Type: Journal    
DOI: 10.3945/jn.114.194068     Document Type: Article

References (47)

1. Hoffmann I. Transcending reductionism in nutrition research. Am J Clin Nutr 2003;78(Suppl):514S-6S.
2. Committee on Diet and Health, Food and Nutrition Board, Commission on Life Sciences, National Research Council. Diet and health: implications for reducing chronic disease risk. Washington (DC): National Academies Press; 1989.
3. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002;13:3-9.
4. Byers T. The role of epidemiology in developing nutritional recommendations: past, present, and future. Am J Clin Nutr 1999;69:1304S-8S.
5. Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 2004;62:177-203.
6. Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc 2004;104:615-35.
7. Jones-McLean EM, Shatenstein B, Whiting SJ. Dietary patterns research and its applications to nutrition policy for the prevention of chronic disease among diverse North American populations. Appl Physiol Nutr Metab 2010;35:195-8.
8. Tucker KL. Dietary patterns, approaches, and multicultural perspective. Appl Physiol Nutr Metab 2010;35:211-8.
9. Slattery ML. Analysis of dietary patterns in epidemiological research. Appl Physiol Nutr Metab 2010;35:207-10.
10. Kant AK. Dietary patterns: biomarkers and chronic disease risk. Appl Physiol Nutr Metab 2010;35:199-206.
11. McNamara DJ. Dietary cholesterol, heart disease risk and cognitive dissonance. Proc Nutr Soc 2014;73:161-6.
12. Shin JY, Xun P, Nakamura Y, He K. Egg consumption in relation to risk of cardiovascular disease and diabetes: a systematic review and metaanalysis. Am J Clin Nutr 2013;98:146-59.
13. McNamara DJ. The impact of egg limitations on coronary heart disease risk: do the numbers add up? J Am Coll Nutr 2000;19:540S-8S.
14. Gray J, Griffin B. Eggs and dietary cholesterol: dispelling the myth. Nutr Bull 2009;34:66-70.
15. KanterMMK-EP, FernandezML, Vickers KC, Katz DL. Exploring the factors that affect blood cholesterol and heart disease risk: is dietary cholesterol as bad for you as history leads us to believe? Adv Nutr 2012;3:711-7.
16. Tran NL, Barraj LM, Heilman JM, Scrafford CG. Egg consumption and cardiovascular disease among diabetic individuals: a systematic review of the literature. Diabetes Metab Syndr Obes 2014;98:146-59.
17. Blesso CN, Andersen CJ, Barona J, Volek JS, Fernandez ML. Whole egg consumption improves lipoprotein profiles and insulin sensitivity to a greater extent than yolk-free substitute in individuals with metabolic syndrome. Metabolism 2013;62:400-10.
18. National Center for Health Statistics. Analytic and reporting guidelines: the National Health and Nutrition Examination Survey (NHANES). 2006 [cited 2014 Mar 25]. Available from: http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/nhanes_analytic_guidelines_dec_2005.pdf.
19. National Center for Health Statistics; Centers for Disease Control and Prevention. Welcome NHANES participants: is my information confidential? [cited 2014 Mar 25]. Available from: http://www.cdc.gov/nchs/nhanes/participant.htm.
20. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey. Is my survey information confidential? April 2013 [cited 2014 Mar 25]. Available from: http://www.cdc.gov/nhanes/pQuestions.htm#.
21. U.S. Department of Health and Human Services; Office of Extramural Research; National Institutes of Health. NIH exploratory/developmental research grant award (R21). 2012 [cited 2014 Feb 5]. Available from: http://www.grants.nih.gov/grants/funding/r21.htm.
22. National Health and Nutrition Examination Survey. Physical activity and physical fitness. [cited 2014 Mar 12]. Available from: http://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/paq07_08_eng.pdf.
23. Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV, Paul DR, Sebastian RS, Kuczynski KJ, Ingwersen LA, et al. The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr 2008;88:324-32.
24. Moshfegh AJ, Raper N, Ingwersen I, Cleveland L, Anand J, Goldman J, LaComb R. An approved approach to 24-hour dietary recall methodology. Ann Nutr Metab 2001;45:156.
25. Conway JM, Ingwersen LA, Vinyard BT,Moshfegh AJ. Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr 2003;77:1171-8.
26. Centers for Disease Control and Prevention; National Center for Health Statistics. National Health and Nutrition Examination Survey (NHANES). NHANES dietary interview component. [cited 2014 Mar 11]. Available from: www.cdc.gov/nchs/data/nhanes/nhanes_09_10/dietaryrecall_f.pdf.
27. Friday J, Bowman S. 2006. MyPyramid Equivalents Database for USDA survey food codes, 1994-2002. Version 1.0. [cited 2014 Mar 11]. Available from: http://www.barc.usda.gov/bhnrc/cnrg.
28. Bowman SA, Friday JE, Moshfegh A. 2006. MyPyramid Equivalents Database, 2.0 for USDA survey foods, 2003-2004 Food Surveys Research Group. 2006 [cited 2014 Mar 11]. Available from: http://www.ars.usda.gov/ba/bhnrc/fsrg.
29. USDA; Center for Nutrition Policy and Promotion. Healthy Eating Index-2005 development and evaluation technical report support files [cited 2014 Mar 11]. Available from: http://www.cnpp.usda.gov/HealthyEatingIndex-2005report.htm.
30. Kennedy ET, Ohls J, Carlson S, Fleming K. The Healthy Eating Index: design and applications. J Am Diet Assoc 1995;95:1103-8.
31. Guenther PM, Reedy J, Krebs-Smith SM, Reeve BB. Evaluation of the Healthy Eating Index-2005. J Am Diet Assoc 2008;108:1854-64.
32. USDA; Center for Nutrition Policy and Promotion. Calculation of the Healthy Eating Index-2005 component and total scores for a population, subpopulation, or group [cited 2013 Dec 20]. Available from: www.cnpp.usda.gov/Publications/HEI/HEI-2005/Readme_HEI2005_NHANES0102PopulationScore.doc.
33. Centers for Disease Control and Prevention; National Center for Health Statistics. National Health and Nutrition Examination Survey. Anthropometry manual [cited 2014 Mar 12]. Available from: http://www.cdc.gov/nchs/data/nhanes/bm.pdf.
34. National Cholesterol Education Program; National Heart, Lung, and Blood Institute; National Institutes of Health. 2002. Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) [cited 2014 Mar 12]. Available from: http://www.nhlbi.nih.gov/about/ncep/.
35. Centers for Disease Control and Prevention; National Center for Health Statistics. NHANES. Laboratory methods [cited 2014 Mar 12]. Available from: http://www.cdc.gov/nchs/nhanes/nhanes1999-2000/lab99_00.htm; http://www.cdc.gov/nchs/nhanes/nhanes2001-2002/lab01_02.htm; http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/lab03_04.htm; http://www. cdc.gov/nchs/nhanes/nhanes2005-2006/lab_methods_05_06.htm; http://www.cdc.gov/nchs/nhanes/nhanes2007-2008/lab_methods_07_08.htm; http://www.cdc.gov/nchs/nhanes/nhanes2009-2010/lab_methods_09_10.htm; http://www.cdc.gov/nchs/nhanes/nhanes2011-2012/lab_methods_11_12.htm.
36. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and betacell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412-9.
37. Menotti A, Keys A, Blackburn H, Kromhout D, Karvonen M, Nissinen A, Pekkanen J, Punsar S, Fidanza F, Giampaoli S, et al. Comparison of multivariate predictive power of major risk factors for coronary heart diseases in different countries: results from eight nations of the Seven Countries Study, 25-year follow-up. J Cardiovasc Risk 1996;3:69-75.
38. Jonas MA, Oates JA, Ockene JK, Hennekens CH. Statement on smoking and cardiovascular disease for health care professionals. American Heart Association. Circulation 1992;86:1664-9.
39. Kannel WB. Importance of hypertension as a major risk factor in cardiovascular disease. In: Genest J, Koiw E, Kuchel O, editors. Hypertension: physiopathology and treatment. New York: McGraw-Hill Book Company;1977:888-910.
40. U.S. Department of Health and Human Services. The health consequences of smoking: a report of the Surgeon General. Atlanta (GA): U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2004 [cited 2014 Mar 11]. Available from: http://www.ncbi.nlm.nih.gov/books/n/smokeuse/pdf/.
41. Bagnardi V, Zatonski W, Scotti L, La Vecchia C, Corrao G. Does drinking pattern modify the effect of alcohol on the risk of coronary heart disease? Evidence from a meta-analysis. J Epidemiol Community Health 2008;62:615-9.
42. Cleophas TJ.Wine, beer and spirits and the risk of myocardial infarction: a systematic review. Biomed Pharmacother 1999;53:417-23.
43. Djoussé L, Gaziano JM. Alcohol consumption and heart failure: a systematic review. Curr Atheroscler Rep 2008;10:117-20.
44. Di Castelnuovo A, Rotondo S, Iacoviello L, Donati MB, De Gaetano G. Meta-analysis of wine and beer consumption in relation to vascular risk. Circulation 2002;105:2836-44.
45. Greenland S, Robins JM. Identifiability, exchangeability, and epidemiologic confounding. Int J Epidemiol 1986;15:413-9.
46. Fraser GE. A search for truth in dietary epidemiology. Am J Clin Nutr 2003;78:521S-5S.
47. Flanders WD, Khoury MJ. Indirect assessment of confounding: graphic description and limits on effect of adjusting for covariates. Epidemiology 1990;1:239-46.