Longitudinal changes in the dietary inflammatory index: An assessment of the inflammatory potential of diet over time in postmenopausal women

European Journal of Clinical Nutrition

Volumn 70, Issue 12, 2016, Pages 1374-1380

  Tabung, F K ^a   Steck, S E ^a,b   Zhang, J ^a   Ma, Y ^c   Liese, A D ^a,b   Tylavsky, F A ^d   Vitolins, M Z ^d   Ockene, J K ^c   Hebert, J R ^a  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF TENNESSEE HEALTH SCIENCE CENTER   (United States)

^d WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BODY MASS; CHRONIC DISEASE; CONTROLLED STUDY; DIET; DIETARY INFLAMMATORY INDEX; EDUCATION; ETHNICITY; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; HUMAN; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MORBIDITY; MORTALITY; NUTRITIONAL ASSESSMENT; OBSERVATIONAL STUDY; OVERALL SURVIVAL; PATIENT EDUCATION; POSTMENOPAUSE; RACE; SCORING SYSTEM; COMPLICATION; EDUCATIONAL STATUS; HEALTH STATUS INDICATOR; IDEAL BODY WEIGHT; INFLAMMATION; LONGITUDINAL STUDY; MIDDLE AGED; PROCEDURES; PROSPECTIVE STUDY; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA;

CHRONIC DISEASE; DIET; DIET SURVEYS; EDUCATIONAL STATUS; FEMALE; HEALTH STATUS INDICATORS; HUMANS; IDEAL BODY WEIGHT; INFLAMMATION; LONGITUDINAL STUDIES; MIDDLE AGED; POSTMENOPAUSE; PROSPECTIVE STUDIES; RISK ASSESSMENT;

EID: 84978139002     PISSN: 09543007     EISSN: 14765640     Source Type: Journal    
DOI: 10.1038/ejcn.2016.116     Document Type: Article

References (37)

1. Hu FB. Dietary pattern analysis: A new direction in nutritional epidemiology. Curr Opin Lipidol 2002; 13: 3-9.
2. Randall E, Marshall JR, Graham S, Brasure J. Patterns in food use and their associations with nutrient intakes. Am J Clin Nutr 1990; 52: 739-745.
3. Chrysohoou C, Panagiotakos DB, Pitsavos C, Das UN, Stefanadis C. Adherence to the mediterranean diet attenuates inflammation and coagulation process in healthy adults: The ATTICA Study. J Am Coll Cardiol 2004; 44: 152-158.
4. Jacques PF, Tucker KL. Are dietary patterns useful for understanding the role of diet in chronic disease? Am J Clin Nutr 2001; 73: 1-2.
5. McCullough ML. Diet patterns and mortality: common threads and consistent results. J Nutr 2014; 144: 795-796.
6. Reedy J, Krebs-Smith SM, Miller PE, Liese AD, Kahle LL, Park Y et al. Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr 2014; 144: 881-889.
7. Miller PE, Cross AJ, Subar AF, Krebs-Smith SM, Park Y, Powell-Wiley T et al. Comparison of 4 established DASH diet indexes: examining associations of index scores and colorectal cancer. Am J Clin Nutr 2013; 98: 794-803.
8. Mulder M, Ranchor AV, Sanderman R, Bouma J, van den Heuvel WJ. The stability of lifestyle behaviour. Int J Epidemiol 1998; 27: 199-207.
9. Mishra GD, McNaughton SA, Bramwell GD, Wadsworth ME. Longitudinal changes in dietary patterns during adult life. Br J Nutr 2006; 96: 735-744.
10. Borland SE, Robinson SM, Crozier SR, Inskip HMSWS Study Group. Stability of dietary patterns in young women over a 2-year period. Br J Clin Nutr 2008; 62: 119-126.
11. Weismayer C, Anderson JG, Wolk A. Changes in the stability of dietary patterns in a study of middle-aged Swedish women. J Nutr 2006; 136: 1582-1587.
12. Bertheke PG, de Vente W, Kemper HC, Twisk JW. Longitudinal trends in and tracking of energy and nutrient intake over 20 years in a Dutch cohort of men and women between 13 and 33 years of age: the Amsterdam growth and health longitudinal study. Br J Nutr 2001; 85: 375-385.
13. Newby PK, Weismayer C, Akesson A, Tucker KL, Wolk A. Long-term stability of food patterns identified by use of factor analysis among Swedish women. J Nutr 2006; 136: 626-633.
14. Northstone K, Emmett PM. Are dietary patterns stable throughout early and midchildhood? a birth cohort study. Br J Nutr 2008; 100: 1069-1076.
15. Tinker LF, Rosal MC, Young AF, Perri MG, Patterson RE, Van Horn L et al. Predictors of dietary change and maintenance in the Women's Health Initiative Dietary Modification Trial. J Am Diet Assoc 2007; 107: 1155-1165.
16. Davis NJ, Ma Y, Delahanty LM, Hoffman HJ, Mayer-Davis E, Franks PW et al. Diabetes Prevention Program Research Group. Predictors of sustained reduction in energy and fat intake in the Diabetes Prevention Program Outcomes Study Intensive Lifestyle Intervention. J Acad Nutr Diet 2013; 113: 1455-1464.
17. Hébert JR, Wirth M, Davis L, Davis B, Harmon BE, Hurley TG et al. C-reactive protein levels in African Americans: A diet and lifestyle randomized community trial. Am J Prev Med 2013; 45: 430-440.
18. Shivappa N, Steck SE, Hurley TG, Hussey JR, Hebert JR. Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr 2013; 17: 1689-1696.
19. Shivappa N, Steck SE, Hurley TG, Hussey JR, Ma Y, Ockene IS et al. A populationbased dietary inflammatory index predicts levels of C-reactive protein in the Seasonal Variation of Blood Cholesterol Study (SEASONS). Public Health Nutr 2013; 17: 1825-1833.
20. Tabung FK, Steck SE, Zhang J, Ma Y, Liese AD, Agalliu I et al. Construct validation of the dietary inflammatory index among postmenopausal women. Ann Epidemiol 2015; 25: 398-405.
21. Patterson RE, Kristal AR, Tinker LF, Carter RA, Bolton MP, Agurs-Collins T. Measurement characteristics of the Women's Health Initiative food frequency questionnaire. Ann Epidemiol 1999; 9: 178-187.
22. Women's Health Initiative Study Group. Design of the Women's Health Initiative clinical trial and observational study. Control Clin Trials 1998; 19: 61-109.
23. Prentice RL, Mossavar-Rahmani Y, Huang Y, Van Horn L, Beresford SA, Caan B et al. Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. Am J Epidemiol 2011; 174: 591-603.
24. Neuhouser ML, Tinker L, Shaw PA, Schoeller D, Bingham SA, Horn LV et al. Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. Am J Epidemiol 2008; 167: 1247-1259.
25. Ritenbaugh C, Patterson RE, Chlebowski RT, Caan B, Fels-Tinker L, Howard B et al. The Women's Health Initiative Dietary Modification trial: overview and baseline characteristics of participants. Ann Epidemiol 2003; 13: S87-S97.
26. Patterson RE, Neuhouser ML, Hedderson MM, Schwartz SM, Standish LJ, Bowen DJ. Changes in diet, physical activity, and supplement use among adults diagnosed with cancer. J Am Diet Assoc 2003; 103: 323-328.
27. Nutrition Coordinating Center at the University of Minnesota M MN Nutrition Data System for Research (NDSR). University of Minnesota: Minneapolis, MN, 2013.
28. Sijtsma FP, Meyer KA, Steffen LM, Shikany JM, Van Horn L, Harnack L et al. Longitudinal trends in diet and effects of sex, race, and education on dietary quality score change: the Coronary Artery Risk Development in Young Adults study. Am J Clin Nutr 2012; 95: 580-586.
29. Chaix B, Bean K, Daniel M, Zenk SN, Kestens Y, Charreire H et al. Associations of supermarket characteristics with weight status and body fat: A multilevel analysis of individuals within supermarkets (RECORD Study). PLoS One 2012; 7: e32908.
30. Drewnowski AMA, Jiao J, Aggarwal A, Charreire H, Chaix B. Food environment and socioeconomic status influence obesity rates in Seattle and in Paris. Int J Obes (Lond) 2014; 38: 306-314.
31. Brenner DR, Boucher BA, Kreiger N, Jenkins D, El-Sohemy A. Dietary patterns in an ethnoculturally diverse population of young Canadian adults. Can J Diet Pract Res 2011; 72: e161-e168.
32. Garduño-Diaz SD, Khokhar S. South Asian dietary patterns and their association with risk factors for the metabolic syndrome. J Hum Nutr Diet 2013; 26: 145-155.
33. Hays J, Hunt JR, Hubbell FA, Anderson GL, Limacher M, Allen C et al. The Women's Health Initiative recruitment methods and results. Ann Epidemiol 2003; 13: S18-S77.
34. Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol 1995; 24: 389-398.
35. Hebert JR, Ma Y, Clemow L, Ockene IS, Saperia G, Stanek EJ 3rd et al. Gender differences in social desirability and social approval bias in dietary self-report. Am J Epidemiol 1997; 146: 1046-1055.
36. Wirth MD, Burch J, Shivappa N, Steck SE, Hurley TG, Vena JE et al. Dietary inflammatory index scores differ by shift work status: NHANES 2005 to 2010. J Occup Environ Med 2014; 56: 145-148.
37. Snedecor GW, Cochran WG. Statistical Methods, 8th edn. Iowa State University Press: Ames, IA, 1989; Vol. 276.