Temporal Dietary Patterns Derived among the Adult Participants of the National Health and Nutrition Examination Survey 1999-2004 Are Associated with Diet Quality

Journal of the Academy of Nutrition and Dietetics

Volumn 116, Issue 2, 2016, Pages 283-291

  Eicher Miller, Heather A ^a   Khanna, Nitin ^b   Boushey, Carol J ^c   Gelfand, Saul B ^d   Delp, Edward J ^a  

^a PURDUE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

^c GRAPHIC ERA UNIVERSITY   (India)

^d UNIVERSITY OF HAWAII CANCER CENTER   (United States)

Author keywords

Diet quality; Dietary intake; Dietary patterns; Healthy Eating Index; Temporal dietary patterns

Indexed keywords

ADULT; ADVERSE EFFECTS; AGED; BODY MASS; CALORIC INTAKE; CLUSTER ANALYSIS; CROSS-SECTIONAL STUDY; DAILY LIFE ACTIVITY; DIET; FAST FOOD; FEEDING BEHAVIOR; HUMAN; MEAL; MIDDLE AGED; NUTRITION; NUTRITION POLICY; OVERWEIGHT; PATIENT COMPLIANCE; STATISTICAL MODEL; TRENDS; UNITED STATES; YOUNG ADULT;

ACTIVITIES OF DAILY LIVING; ADULT; AGED; BODY MASS INDEX; CLUSTER ANALYSIS; CROSS-SECTIONAL STUDIES; DIET; ENERGY INTAKE; FEEDING BEHAVIOR; HUMANS; LINEAR MODELS; MEALS; MIDDLE AGED; NUTRITION POLICY; NUTRITION SURVEYS; OVERWEIGHT; PATIENT COMPLIANCE; SNACKS; UNITED STATES; YOUNG ADULT;

EID: 84959136560     PISSN: 22122672     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jand.2015.05.014     Document Type: Article

References (50)

1. Hoffmann K., Schulze M.B., Schienkiewitz A., et al. Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol 2004, 159(10):935-944.
2. Kroger J., Ferrari P., Jenab M., et al. Specific food group combinations explaining the variation in intakes of nutrients and other important food components in the European Prospective Investigation into Cancer and Nutrition: An application of the reduced rank regression method. Eur J Clin Nutr 2009, 63(suppl):263S-274S.
3. Jacobs D.R., Steffen L.M. Nutrients, foods, and dietary patterns as exposures in research: A framework for food synergy. Am J Clin Nutr 2003, 78(3 suppl):508S-513S.
4. Newby P.K., Tucker K.L. Empirically derived eating patterns using factor or cluster analysis: A review. Nutr Rev 2004, 62(5):177-203.
5. Reedy J., Wirfalt E., Flood A., et al. Comparing 3 dietary pattern methods-cluster analysis, factor analysis, and index analysis-with colorectal cancer risk: The NIH-AARP Diet and Health Study. Am J Epidemiol 2010, 171(4):479-487.
6. Khanna N., Eicher-Miller H.A., Boushey C.J., et al. Temporal dietary patterns using kernel k-means clustering. Proc IEEE Int Sympos Multimed 2011, 375-380.
7. Cassady B.A., Considine R.V., Mattes R.D. Beverage consumption, appetite, and energy intake: What did you expect?. Am J Clin Nutr 2012, 95(3):587-593.
8. Houchins J.A., Tan S.Y., Campbell W.W., et al. Effects of fruit and vegetable, consumed in solid vs beverage forms, on acute and chronic appetitive responses in lean and obese adults. Int J Obes 2013, 37(8):1109-1115.
9. Almoosawi S., Prynne C.J., Hardy R., et al. Time-of-day and nutrient composition of eating occasions: Prospective association with the metabolic syndrome in the 1946 British birth cohort. Int J Obes 2013, 37(5):725-731.
10. Almoosawi S., Winter J., Prynne C.J., et al. Daily profiles of energy and nutrient intakes: Are eating profiles changing over time?. Eur J Clin Nutr 2012, 66(6):678-686.
11. Burke S.J., McCarthy S.N., O'Dwyer N.A., et al. Analysis of the temporal intake of cereal and dairy products in Irish adults: Implications for developing food-based dietary guidelines. Public Health Nutr 2005, 8(3):238-248.
12. Sakoe H. Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans Acoustics Speech Signal Proc 1978, 26:43-49.
13. Warren Liao T. Clustering of time series data-a survey. Pattern Recog 2005, 38:1857-1874.
14. Guenther P.M., Reedy J., Krebs-Smith S.M. Development of the Healthy Eating Index-2005. J Am Diet Assoc 2008, 108(11):1896-1901.
15. Centers for Disease Control and Prevention, National Center for Health Statistics. NHANES dietary data. Updated April 16, 2015. Accessed May 6, 2015. http://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Dietary.
16. National Center for Health Statistics. National Health and Nutrition Examination Survey questionnaires, datasets, and related documentation. Updated February 3, 2014. Accessed May 6, 2015. http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm.
17. National Center for Health Statistics. Research Ethics Review Board (ERB) approval. Updated November 5, 2012. Accessed May 6, 2015. http://www.cdc.gov/nchs/nhanes/irba98.htm.
18. USDA automated multiple-pass method. Updated October 2, 2014. Accessed May 6, 2015. http://www.ars.usda.gov/Services/docs.htm?docid=7710.
19. Guenther P.M., Reedy J., Krebs-Smith S.M., et al. Evaluation of the Healthy Eating Index-2005. J Am Diet Assoc 2008, 108(11):1854-1864.
20. Child D. The Essentials of Factor Analysis 1973, Holt, Rinehart and Winston, London, UK.
21. Dhillon I.S., Guan Y., Kulis B. Kernal k-Means: Spectral Clustering and Normalized Cuts. Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2004, 551-565. ACM, New York, NY.
22. Duda R.O., Hart P.E., Stork D.G. Pattern Classification 2000, Wiley-Interscience, Philadelphia, PA. 2nd ed.
23. Everitt B. Cluster Analysis 1993, Edward Arnold, London, UK. 3rd ed.
24. Xie X., Yan Y., Kwok J., et al. Matrix-variate factor analysis and its applications. IEEE Trans on Neural Network 2008, 19(10):1821-1826.
25. Physical Status: The Use and Interpretation of Anthropometry. Report of a WHO Expert Committee 1995, World Health Organization, Geneva, Switzerland, WHO Technical Report Series 854.
26. Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation 2000, World Health Organization, Geneva, Switzerland, WHO Technical Report Series 894.
27. Centers for Disease Control and Prevention, Center for Health Statistics. Specifying weighting parameters. Updated May 10, 2013. Accessed May 6, 2015. http://www.cdc.gov/nchs/tutorials/nhanes/SurveyDesign/Weighting/intro.htm.
28. Fialkowski M.K., McCrory M.A., Roberts S.M., et al. Dietary patterns are associated with dietary recommendations but have limited relationship to BMI in the Communities Advancing the Studies of Tribal Nations Across the Lifespan (CoASTAL) cohort. Public Health Nutr 2012, 15(10):1948-1958.
29. Berkowitz SA, Gao X, Tucker KL. Food-insecure dietary patterns are associated with poor longitudinal glycemic control in diabetes: Results from the Boston Puerto Rican Health Study. 2014;37(9):2587-2592.
30. Satia J.A. Diet-related disparities: Understanding the problem and accelerating solutions. J Am Diet Assoc 2009, 109(4):610-615.
31. Kirkpatrick S.I., Dodd K.W., Reedy J., et al. Income and race/ethnicity are associated with adherence to food-based dietary guidance among US adults and children. J Acad Nutr Diet 2012, 112(5):624-635.e6.
32. Center for Nutrition Policy and Promotion, US Department of Agriculture. Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans, 2010. Updated March 7, 2013. Accessed May 6, 2015. http://www.cnpp.usda.gov/DietaryGuidelines.
33. Waterhouse J., Buckley P., Edwards B., et al. Measurement of and some reasons for, differences in eating habits between night and day workers. Chronobiol Int 2003, 20(6):1075-1092.
34. Lowden A., Moreno C., Holmback U., et al. Eating and shift work-effects on habits, metabolism and performance. Scand J Work Environ Health 2010, 36(2):150-162.
35. Knutson A., Andersson H., Berglund U. Serum lipoproteins in day and shift workers: A prospective study. Br J Ind Med 1990, 47(2):132-134.
36. Short sleep duration among workers-United States, 2010. MMWR Morb Mort Wkly Rep 2012, 61(16):281-285. Centers for Disease Control and Prevention.
37. Croce N., Bracci M., Ceccarelli G., et al. Body mass index in shift workers: Relation to diet and physical activity. G Ital Med Lav Ergon 2007, 29(3 suppl):488-489.
38. Garaulet M., Ordovas J.M., Madrid J.A. The chronobiology, etiology and pathophysiology of obesity. Int J Obes 2010, 34(12):1667-1683.
39. Taheri S., Lin L., Austin D., et al. Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index. PLoS Med 2004, 1(3):210-217.
40. Mokdad A.H., Bowman B.A., Ford E.S., et al. The continuing epidemics of obesity and diabetes in the United States. JAMA 2001, 286(10):1195-1200.
41. Hajjar I., Kotchen T.A. Trends in prevalence, awareness, treatment, and control of hypertension in the United States, 1988-2000. JAMA 2003, 290(2):199-206.
42. Barnett E., Halverson J. Local increases in coronary heart disease mortality among blacks and whites in the United States, 1985-1995. Am J Public Health 2001, 91(9):1499-1506.
43. Perez-Escamilla R. Acculturation, nutrition, and health disparities in Latinos. Am J Clin Nutr 2011, 93(5 suppl):1163S-1167S.
44. Doubeni C.A., Laiyemo A.O., Major J.M., et al. Socioeconomic status and the risk of colorectal cancer: An analysis of more than a half million adults in the National Institutes of Health-AARP Diet and Health Study. Cancer 2012, 118(14):3636-3644.
45. Major J.M., Norman Oliver M., Doubeni C.A., et al. Socioeconomic status, healthcare density, and risk of prostate cancer among African American and Caucasian men in a large prospective study. J Urol 2013, 23(7):1185-1191.
46. Braveman P.A., Cubbin C., Egerter S., et al. Socioeconomic disparities in health in the United States: What the patterns tell us. Am J Public Health 2010, 100(suppl):186S-196S.
47. Kearney J.M., Hulshof K.F., Gibney M.J. Eating patterns-temporal distribution, converging and diverging foods, meals eaten inside and outside of the home-implications for developing FBDG. Public Health Nutr 2001, 4(2B):693-698.
48. Subar A.F., Dodd K.W., Guenther P.M., et al. The food propensity questionnaire: Concept, development, and validation for use as a covariate in a model to estimate usual food intake. J Am Diet Assoc 2006, 106(10):1556-1563.
49. Deshmukh-Taskar P.R., Radcliffe J.D., Liu Y., et al. Do breakfast skipping and breakfast type affect energy intake, nutrient intake, nutrient adequacy, and diet quality in young adults? NHANES 1999-2002. J Am Coll Nutr 2010, 29(4):407-418.
50. Zizza C.A., Xu B. Snacking is associated with overall diet quality among adults. J Acad Nutr Diet 2012, 112(2):291-296.