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Associations of evolutionary-concordance diet, Mediterranean diet and evolutionary-concordance lifestyle pattern scores with all-cause and cause-specific mortality

Published online by Cambridge University Press:  18 December 2018

En Cheng Open the ORCID record for En Cheng [Opens in a new window] ,
Caroline Y. Um Open the ORCID record for Caroline Y. Um [Opens in a new window] ,
Anna Prizment ,
DeAnn Lazovich  and
Roberd M. Bostick
En Cheng
Affiliation:
Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
Caroline Y. Um
Affiliation:
Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
Anna Prizment
Affiliation:
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
DeAnn Lazovich
Affiliation:
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
Roberd M. Bostick*
Affiliation:
Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA Winship Cancer Institute, Emory University, Atlanta, GA, USA
*
*Corresponding author: R. M. Bostick, fax +1 404 727 8737, email rmbosti@emory.edu
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Abstract

Various individual diet and lifestyle factors are associated with mortality. Investigating these factors collectively may help clarify whether dietary and lifestyle patterns contribute to life expectancy. We investigated the association of previously described evolutionary-concordance and Mediterranean diet pattern scores and a novel evolutionary-concordance lifestyle pattern score with all-cause and cause-specific mortality in the prospective Iowa Women’s Health Study (1986–2012). We created the diet pattern scores from Willett FFQ responses, and the lifestyle pattern score from self-reported physical activity, BMI and smoking status, and assessed their associations with mortality, using multivariable Cox proportional hazards regression. Of the 35 221 55- to 69-year-old cancer-free women at baseline, 18 687 died during follow-up. The adjusted hazard ratios (HR) and 95 % CI for all-cause, all CVD, and all-cancer mortality among participants in the highest relative to the lowest quintile of the evolutionary-concordance lifestyle score were, respectively, 0·52 (95 % CI 0·50, 0·55), 0·53 (95 % CI 0·49, 0·57) and 0·51 (95 % CI 0·46, 0·57). The corresponding findings for the Mediterranean diet score were HR 0·85 (95 % CI 0·82, 0·90), 0·83 (95 % CI 0·76, 0·90) and 0·93 (95 % CI 0·84, 1·03), and for the evolutionary-concordance diet score they were close to null and not statistically significant. The lowest estimated risk was among those in the highest joint quintile of the lifestyle score and either diet score (both Pinteraction <0·01). Our findings suggest that (1) a more Mediterranean-like diet pattern and (2) a more evolutionary-concordant lifestyle pattern, alone and in interaction with a more evolutionary-concordant or Mediterranean diet pattern, may be inversely associated with mortality.

Keywords

MortalityLifestylePaleolithic dietMediterranean dietCohort studies
Type
Full Papers
Information
British Journal of Nutrition , First View , pp. 1 - 10
Copyright
© The Authors 2018 

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References

1. GBD 2013 Mortality and Causes of Death Collaborators (2015) Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 385, 117–171.Google Scholar
2. Behrens, G, Fischer, B, Kohler, S, et al. (2013) Healthy lifestyle behaviors and decreased risk of mortality in a large prospective study of U.S. women and men. Eur J Epidemiol 28, 361–372.Google Scholar
3. Ding, D, Rogers, K, van der Ploeg, H, et al. (2015) Traditional and emerging lifestyle risk behaviors and all-cause mortality in middle-aged and older adults: evidence from a large population-based Australian cohort. PLoS Med 12, e1001917.Google Scholar
4. Loef, M & Walach, H (2012) The combined effects of healthy lifestyle behaviors on all cause mortality: a systematic review and meta-analysis. Prev Med 55, 163–170.Google Scholar
5. Petersen, KE, Johnsen, NF, Olsen, A, et al. (2015) The combined impact of adherence to five lifestyle factors on all-cause, cancer and cardiovascular mortality: a prospective cohort study among Danish men and women. Br J Nutr 113, 849–858.Google Scholar
6. McCullough, ML (2014) Diet patterns and mortality: common threads and consistent results. J Nutr 144, 795–796.Google Scholar
7. Jankovic, N, Geelen, A, Streppel, MT, et al. (2014) Adherence to a healthy diet according to the World Health Organization guidelines and all-cause mortality in elderly adults from Europe and the United States. Am J Epidemiol 180, 978–988.Google Scholar
8. Knoops, KT, de Groot, LC, Kromhout, D, et al. (2004) Mediterranean diet, lifestyle factors, and 10-year mortality in elderly European men and women: the HALE project. JAMA 292, 1433–1439.Google Scholar
9. McNaughton, SA, Bates, CJ & Mishra, GD (2012) Diet quality is associated with all-cause mortality in adults aged 65 years and older. J Nutr 142, 320–325.Google Scholar
10. Mitrou, PN, Kipnis, V, Thiebaut, AC, et al. (2007) Mediterranean dietary pattern and prediction of all-cause mortality in a US population: results from the NIH-AARP Diet and Health Study. Arch Intern Med 167, 2461–2468.Google Scholar
11. Reedy, J, Krebs-Smith, SM, Miller, PE, et al. (2014) Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr 144, 881–889.Google Scholar
12. Sotos-Prieto, M, Bhupathiraju, SN, Mattei, J, et al. (2017) Association of changes in diet quality with total and cause-specific mortality. N Engl J Med 377, 143–153.Google Scholar
13. Tognon, G, Lissner, L, Saebye, D, et al. (2014) The Mediterranean diet in relation to mortality and CVD: a Danish cohort study. Br J Nutr 111, 151–159.Google Scholar
14. Tognon, G, Nilsson, LM, Lissner, L, et al. (2012) The Mediterranean diet score and mortality are inversely associated in adults living in the subarctic region. J Nutr 142, 1547–1553.Google Scholar
15. Tong, TY, Wareham, NJ, Khaw, KT, et al. (2016) Prospective association of the Mediterranean diet with cardiovascular disease incidence and mortality and its population impact in a non-Mediterranean population: the EPIC-Norfolk study. BMC Med 14, 135.Google Scholar
16. Vormund, K, Braun, J, Rohrmann, S, et al. (2015) Mediterranean diet and mortality in Switzerland: an alpine paradox? Eur J Nutr 54, 139–148.Google Scholar
17. Zazpe, I, Sanchez-Tainta, A, Toledo, E, et al. (2014) Dietary patterns and total mortality in a Mediterranean cohort: the SUN project. J Acad Nutr Diet 114, 37–47.Google Scholar
18. Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 3–9.Google Scholar
19. Gellert, C, Schottker, B & Brenner, H (2012) Smoking and all-cause mortality in older people: systematic review and meta-analysis. Arch Intern Med 172, 837–844.Google Scholar
20. Jones, MR, Tellez-Plaza, M & Navas-Acien, A (2013) Smoking, menthol cigarettes and all-cause, cancer and cardiovascular mortality: evidence from the National Health and Nutrition Examination Survey (NHANES) and a meta-analysis. PLOS ONE 8, e77941.Google Scholar
21. Li, Y, Gu, M, Jing, F, et al. (2016) Association between physical activity and all cancer mortality: dose–response meta-analysis of cohort studies. Int J Cancer 138, 818–832.Google Scholar
22. Lollgen, H, Bockenhoff, A & Knapp, G (2009) Physical activity and all-cause mortality: an updated meta-analysis with different intensity categories. Int J Sports Med 30, 213–224.Google Scholar
23. McGee, DL, Diverse Populations Collaboration (2005) Body mass index and mortality: a meta-analysis based on person-level data from twenty-six observational studies. Ann Epidemiol 15, 87–97.Google Scholar
24. Mons, U, Muezzinler, A, Gellert, C, et al. (2015) Impact of smoking and smoking cessation on cardiovascular events and mortality among older adults: meta-analysis of individual participant data from prospective cohort studies of the CHANCES consortium. BMJ 350, h1551.Google Scholar
25. Nocon, M, Hiemann, T, Muller-Riemenschneider, F, et al. (2008) Association of physical activity with all-cause and cardiovascular mortality: a systematic review and meta-analysis. Eur J Cardiovasc Prev Rehabil 15, 239–246.Google Scholar
26. Ford, ES, Bergmann, MM, Boeing, H, et al. (2012) Healthy lifestyle behaviors and all-cause mortality among adults in the United States. Prev Med 55, 23–27.Google Scholar
27. Hulsegge, G, Looman, M, Smit, HA, et al. (2016) Lifestyle changes in young adulthood and middle age and risk of cardiovascular disease and all-cause mortality: the Doetinchem Cohort Study. J Am Heart Assoc 5, e002432.Google Scholar
28. Prinelli, F, Yannakoulia, M, Anastasiou, CA, et al. (2015) Mediterranean diet and other lifestyle factors in relation to 20-year all-cause mortality: a cohort study in an Italian population. Br J Nutr 113, 1003–1011.Google Scholar
29. Yun, JE, Won, S, Kimm, H, et al. (2012) Effects of a combined lifestyle score on 10-year mortality in Korean men and women: a prospective cohort study. BMC Public Health 12, 673.Google Scholar
30. Whalen, KA, McCullough, ML, Flanders, WD, et al. (2016) Paleolithic and Mediterranean diet pattern scores are inversely associated with biomarkers of inflammation and oxidative balance in adults. J Nutr 146, 1217–1226.Google Scholar
31. Whalen, KA, McCullough, M, Flanders, WD, et al. (2014) Paleolithic and Mediterranean diet pattern scores and risk of incident, sporadic colorectal adenomas. Am J Epidemiol 180, 1088–1097.Google Scholar
32. Whalen, KA, Judd, S, McCullough, ML, et al. (2017) Paleolithic and Mediterranean diet pattern scores are inversely associated with all-cause and cause-specific mortality in adults. J Nutr 147, 612–620.Google Scholar
33. Konner, M & Eaton, SB (2010) Paleolithic nutrition: twenty-five years later. Nutr Clin Pract 25, 594–602.Google Scholar
34. Eaton, SB & Konner, M (1985) Paleolithic nutrition. A consideration of its nature and current implications. N Engl J Med 312, 283–289.Google Scholar
35. Eaton, SB, Konner, M & Shostak, M (1988) Stone agers in the fast lane: chronic degenerative diseases in evolutionary perspective. Am J Med 84, 739–749.Google Scholar
36. Trichopoulou, A (2004) Traditional Mediterranean diet and longevity in the elderly: a review. Public Health Nutr 7, 943–947.Google Scholar
37. Garcia-Fernandez, E, Rico-Cabanas, L, Rosgaard, N, et al. (2014) Mediterranean diet and cardiodiabesity: a review. Nutrients 6, 3474–3500.Google Scholar
38. Willett, WC, Sacks, F, Trichopoulou, A, et al. (1995) Mediterranean diet pyramid: a cultural model for healthy eating. Am J Clin Nutr 61, 1402S–1406S.Google Scholar
39. Trichopoulou, A, Costacou, T, Bamia, C, et al. (2003) Adherence to a Mediterranean diet and survival in a Greek population. N Engl J Med 348, 2599–2608.Google Scholar
40. Dinu, M, Pagliai, G, Casini, A, et al. (2018) Mediterranean diet and multiple health outcomes: an umbrella review of meta-analyses of observational studies and randomised trials. Eur J Clin Nutr 72, 30–43.Google Scholar
41. Folsom, AR, Kaye, SA, Prineas, RJ, et al. (1990) Increased incidence of carcinoma of the breast associated with abdominal adiposity in postmenopausal women. Am J Epidemiol 131, 794–803.Google Scholar
42. Munger, RG, Folsom, AR, Kushi, LH, et al. (1992) Dietary assessment of older Iowa women with a food frequency questionnaire: nutrient intake, reproducibility, and comparison with 24-hour dietary recall interviews. Am J Epidemiol 136, 192–200.Google Scholar
43. Willett, WC, Sampson, L, Browne, ML, et al. (1988) The use of a self-administered questionnaire to assess diet four years in the past. Am J Epidemiol 127, 188–199.Google Scholar
44. Kushi, LH, Fee, RM, Folsom, AR, et al. (1997) Physical activity and mortality in postmenopausal women. JAMA 277, 1287–1292.Google Scholar
45. Klein, JP & Moeschberger, ML (2005) Survival Analysis: Techniques for Censored and Truncated Data. New York: Springer Science & Business Media.Google Scholar
46. Fung, TT, McCullough, ML, Newby, PK, et al. (2005) Diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction. Am J Clin Nutr 82, 163–173.Google Scholar
47. Reedy, J, Mitrou, PN, Krebs-Smith, SM, et al. (2008) Index-based dietary patterns and risk of colorectal cancer: the NIH-AARP Diet and Health Study. Am J Epidemiol 168, 38–48.Google Scholar
48. Dash, C, Bostick, RM, Goodman, M, et al. (2015) Oxidative balance scores and risk of incident colorectal cancer in a US prospective cohort study. Am J Epidemiol 181, 584–594.Google Scholar
49. Dash, C, Goodman, M, Flanders, WD, et al. (2013) Using pathway-specific comprehensive exposure scores in epidemiology: application to oxidative balance in a pooled case–control study of incident, sporadic colorectal adenomas. Am J Epidemiol 178, 610–624.Google Scholar
50. Cheng, E, Um, CY, Prizment, AE, et al. (2018) Evolutionary-concordance lifestyle and diet and Mediterranean diet pattern scores and risk of incident colorectal cancer in Iowa women. Cancer Epidemiol Biomarkers Prev 27, 1195–1202.Google Scholar
51. Lampe, JW (1999) Health effects of vegetables and fruit: assessing mechanisms of action in human experimental studies. Am J Clin Nutr 70, 475S–490S.Google Scholar
52. Bao, Y, Han, J, Hu, FB, et al. (2013) Association of nut consumption with total and cause-specific mortality. N Engl J Med 369, 2001–2011.Google Scholar
53. Santarelli, RL, Pierre, F & Corpet, DE (2008) Processed meat and colorectal cancer: a review of epidemiologic and experimental evidence. Nutr Cancer 60, 131–144.Google Scholar
54. Ward, MH, Cross, AJ, Divan, H, et al. (2007) Processed meat intake, CYP2A6 activity and risk of colorectal adenoma. Carcinogenesis 28, 1210–1216.Google Scholar
55. McAfee, AJ, McSorley, EM, Cuskelly, GJ, et al. (2010) Red meat consumption: an overview of the risks and benefits. Meat Sci 84, 1–13.Google Scholar
56. Micha, R, Wallace, SK & Mozaffarian, D (2010) Red and processed meat consumption and risk of incident coronary heart disease, stroke, and diabetes mellitus: a systematic review and meta-analysis. Circulation 121, 2271–2283.Google Scholar
57. Koeth, RA, Wang, Z, Levison, BS, et al. (2013) Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis. Nat Med 19, 576–585.Google Scholar
58. Cross, AJ, Leitzmann, MF, Gail, MH, et al. (2007) A prospective study of red and processed meat intake in relation to cancer risk. PLoS Med 4, e325.Google Scholar
59. Warburton, DE, Glendhill, N & Quinney, A (2001) The effects of changes in musculoskeletal fitness on health. Can J Appl Physiol 26, 161–216.Google Scholar
60. Barness, LA, Opitz, JM & Gilbert-Barness, E (2007) Obesity: genetic, molecular, and environmental aspects. Am J Med Genet A 143A, 3016–3034.Google Scholar
61. BMIMC, Global, Di Angelantonio, E, Bhupathiraju, Sh N, et al. (2016) Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet 388, 776–786.Google Scholar
62. Solomon, CG & Manson, JE (1997) Obesity and mortality: a review of the epidemiologic data. Am J Clin Nutr 66, 1044S–1050S.Google Scholar
63. Doll, R (1999) Risk from tobacco and potentials for health gain. Int J Tuberc Lung Dis 3, 90–99.Google Scholar
64. Tsiara, S, Elisaf, M & Mikhailidis, DP (2003) Influence of smoking on predictors of vascular disease. Angiology 54, 507–530.Google Scholar
65. Genoni, A, Lyons-Wall, P, Lo, J, et al. (2016) Cardiovascular, metabolic effects and dietary composition of ad-libitum Paleolithic v. Australian guide to healthy eating diets: a 4-week randomised trial. Nutrients 8, 314.Google Scholar
66. Lindeberg, S, Jonsson, T, Granfeldt, Y, et al. (2007) A Palaeolithic diet improves glucose tolerance more than a Mediterranean-like diet in individuals with ischaemic heart disease. Diabetologia 50, 1795–1807.Google Scholar
67. Mellberg, C, Sandberg, S, Ryberg, M, et al. (2014) Long-term effects of a Palaeolithic-type diet in obese postmenopausal women: a 2-year randomized trial. Eur J Clin Nutr 68, 350–357.Google Scholar
68. Osterdahl, M, Kocturk, T, Koochek, A, et al. (2008) Effects of a short-term intervention with a Paleolithic diet in healthy volunteers. Eur J Clin Nutr 62, 682–685.Google Scholar
69. Otten, J, Stomby, A, Waling, M, et al. (2017) Benefits of a Paleolithic diet with and without supervised exercise on fat mass, insulin sensitivity, and glycemic control: a randomized controlled trial in individuals with type 2 diabetes. Diabetes Metab Res Rev 33, e2828.Google Scholar
70. Bligh, HF, Godsland, IF, Frost, G, et al. (2015) Plant-rich mixed meals based on Palaeolithic diet principles have a dramatic impact on incretin, peptide YY and satiety response, but show little effect on glucose and insulin homeostasis: an acute-effects randomised study. Br J Nutr 113, 574–584.Google Scholar
71. Boers, I, Muskiet, FA, Berkelaar, E, et al. (2014) Favourable effects of consuming a Palaeolithic-type diet on characteristics of the metabolic syndrome: a randomized controlled pilot-study. Lipids Health Dis 13, 160.Google Scholar
72. Frassetto, LA, Schloetter, M, Mietus-Synder, M, et al. (2009) Metabolic and physiologic improvements from consuming a Paleolithic, hunter–gatherer type diet. Eur J Clin Nutr 63, 947–955.Google Scholar
73. Jonsson, T, Granfeldt, Y, Ahren, B, et al. (2009) Beneficial effects of a Paleolithic diet on cardiovascular risk factors in type 2 diabetes: a randomized cross-over pilot study. Cardiovasc Diabetol 8, 35.Google Scholar
74. Masharani, U, Sherchan, P, Schloetter, M, et al. (2015) Metabolic and physiologic effects from consuming a hunter–gatherer (Paleolithic)-type diet in type 2 diabetes. Eur J Clin Nutr 69, 944–948.Google Scholar
75. World Health Organization & World Health Organization/Tufts University Consultation on Nutritional Guidelines for the Elderly (2002) Keep Fit for Life: Meeting the Nutritional Needs of Older Persons. Geneva: World Health Organization.Google Scholar
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