DOI QR코드

DOI QR Code

An association between diet quality index for Koreans (DQI-K) and total mortality in Health Examinees Gem (HEXA-G) study

  • Lim, Jiyeon (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Lee, Yunhee (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Shin, Sangah (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Lee, Hwi-Won (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Kim, Claire E (Department of Preventive Medicine, Seoul National University College of Medicine) ;
  • Lee, Jong-koo (JW Lee Center for Global Medicine, Seoul National University College of Medicine) ;
  • Lee, Sang-Ah (Department of Preventive Medicine, Kangwon National University Scool of Medicine) ;
  • Kang, Daehee (Department of Preventive Medicine, Seoul National University College of Medicine)
  • 투고 : 2018.01.04
  • 심사 : 2018.05.03
  • 발행 : 2018.06.01

초록

BACKGROUND/OBJECTIVES: Diet quality scores or indices, based on dietary guidelines, are used to summarize dietary intake into a single numeric variable. The aim of this study was to examine the association between the modified diet quality index for Koreans (DQI-K) and mortality among Health Examinees-Gem (HEXA-G) study participants. SUBJECTS/METHODS: The DQI-K was modified from the original diet quality index. A total of 134,547 participants (45,207 men and 89,340 women) from the HEXA-G study (2004 and 2013) were included. The DQI-K is based on eight components: 1) daily protein intake, 2) percent of energy from fat, 3) percent of energy from saturated fat, 4) daily cholesterol intake, 5) daily whole-grain intake, 6) daily fruit intake, 7) daily vegetable intake, and 8) daily sodium intake. The association between all-cause mortality and the DQI-K was examined using Cox proportional hazard regression models. Hazard ratios and confidence intervals were estimated after adjusting for age, gender, income, smoking status, alcohol drinking, body mass index, and total energy intake. RESULTS: The total DQI-K score was calculated by summing the scores of the eight components (range 0-9). In the multivariable adjusted models, with good diet quality (score 0-4) as a reference, poor diet quality (score 5-9) was associated with an increased risk of all-cause mortality (hazard ratios = 1.23, 95% confidence intervals = 1.06-1.43). Moreover, a one-unit increase in DQI-K score resulted in a 6% higher mortality risk. CONCLUSIONS: A poor diet quality DQI-K score was associated with an increased risk of mortality. The DQI-K in the present study may be used to assess the diet quality of Korean adults.

키워드

참고문헌

  1. Lachat C, Otchere S, Roberfroid D, Abdulai A, Seret FM, Milesevic J, Xuereb G, Candeias V, Kolsteren P. Diet and physical activity for the prevention of noncommunicable diseases in low- and middleincome countries: a systematic policy review. PLoS Med 2013;10: e1001465. https://doi.org/10.1371/journal.pmed.1001465
  2. Basiotis PP, Guthrie JF, Bowman SA, Welsh SO. Construction and evaluation of a diet status index. Fam Econ Rev 1995;8:2-13.
  3. Jacobs DR Jr, Steffen LM. Nutrients, foods, and dietary patterns as exposures in research: a framework for food synergy. Am J Clin Nutr 2003;78 Suppl:508S-513S. https://doi.org/10.1093/ajcn/78.3.508S
  4. Willett W. Nutritional epidemiology. Third edition. Oxford: Oxford University Press; 2013. p.ix, 529.
  5. Patterson RE, Haines PS, Popkin BM. Diet quality index: capturing a multidimensional behavior. J Am Diet Assoc 1994;94:57-64. https://doi.org/10.1016/0002-8223(94)92042-7
  6. Gil A, Martinez de Victoria E, Olza J. Indicators for the evaluation of diet quality. Nutr Hosp 2015;31 Suppl 3:128-44.
  7. McCullough ML, Feskanich D, Stampfer MJ, Giovannucci EL, Rimm EB, Hu FB, Spiegelman D, Hunter DJ, Colditz GA, Willett WC. Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance. Am J Clin Nutr 2002;76: 1261-71. https://doi.org/10.1093/ajcn/76.6.1261
  8. Wrobleski MM, Parker EA, Hurley KM, Oberlander S, Merry BC, Black MM. Comparison of the HEI and HEI-2010 diet quality measures in association with chronic disease risk among low-income, African American urban youth in Baltimore, Maryland. J Am Coll Nutr 2018;37:201-8. https://doi.org/10.1080/07315724.2017.1376297
  9. Osler M, Schroll M. Diet and mortality in a cohort of elderly people in a north European community. Int J Epidemiol 1997;26:155-9. https://doi.org/10.1093/ije/26.1.155
  10. Trichopoulou A, Kouris-Blazos A, Wahlqvist ML, Gnardellis C, Lagiou P, Polychronopoulos E, Vassilakou T, Lipworth L, Trichopoulos D. Diet and overall survival in elderly people. BMJ 1995;311:1457-60. https://doi.org/10.1136/bmj.311.7018.1457
  11. Russell J, Flood V, Rochtchina E, Gopinath B, Allman-Farinelli M, Bauman A, Mitchell P. Adherence to dietary guidelines and 15-year risk of all-cause mortality. Br J Nutr 2013;109:547-55. https://doi.org/10.1017/S0007114512001377
  12. Huijbregts P, Feskens E, Rasanen L, Fidanza F, Nissinen A, Menotti A, Kromhout D. Dietary pattern and 20 year mortality in elderly men in Finland, Italy, and The Netherlands: longitudinal cohort study. BMJ 1997;315:13-7. https://doi.org/10.1136/bmj.315.7099.13
  13. Knoops KT, Groot de LC, Fidanza F, Alberti-Fidanza A, Kromhout D, van Staveren WA. Comparison of three different dietary scores in relation to 10-year mortality in elderly European subjects: the HALE project. Eur J Clin Nutr 2006;60:746-55. https://doi.org/10.1038/sj.ejcn.1602378
  14. Reedy J, Krebs-Smith SM, Miller PE, Liese AD, Kahle LL, Park Y, Subar AF. Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr 2014;144:881-9. https://doi.org/10.3945/jn.113.189407
  15. Buckland G, Agudo A, Travier N, Huerta JM, Cirera L, Tormo MJ, Navarro C, Chirlaque MD, Moreno-Iribas C, Ardanaz E, Barricarte A, Etxeberria J, Marin P, Quiros JR, Redondo ML, Larranaga N, Amiano P, Dorronsoro M, Arriola L, Basterretxea M, Sanchez MJ, Molina E, Gonzalez CA. Adherence to the Mediterranean diet reduces mortality in the Spanish cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Spain). Br J Nutr 2011;106:1581-91. https://doi.org/10.1017/S0007114511002078
  16. Schwingshackl L, Bogensberger B, Hoffmann G. Diet quality as assessed by the healthy eating index, alternate healthy eating index, dietary approaches to stop hypertension score, and health outcomes: an updated systematic review and meta-analysis of cohort studies. J Acad Nutr Diet 2018;118:74-100.e11. https://doi.org/10.1016/j.jand.2017.08.024
  17. Yun S, Kim HJ, Oh K. Trends in energy intake among Korean adults, 1998-2015: results from the Korea National Health and Nutrition Examination Survey. Nutr Res Pract 2017;11:147-54. https://doi.org/10.4162/nrp.2017.11.2.147
  18. Health Examinees Study Group. The Health Examinees (HEXA) study: rationale, study design and baseline characteristics. Asian Pac J Cancer Prev 2015;16:1591-7. https://doi.org/10.7314/APJCP.2015.16.4.1591
  19. Kim Y, Han BG; KoGES group. Cohort profile: The Korean Genome and Epidemiology Study (KoGES) consortium. Int J Epidemiol 2016;46:1350.
  20. Shin S, Lee HW, Kim CE, Lim J, Lee JK, Lee SA, Kang D. Egg consumption and risk of metabolic syndrome in Korean adults: results from the Health Examinees Study. Nutrients 2017;9:E687. https://doi.org/10.3390/nu9070687
  21. Kom EL, Graubard BI, Midthune D. Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale. Am J Epidemiol 1997;145:72-80. https://doi.org/10.1093/oxfordjournals.aje.a009034
  22. Hess KR. Graphical methods for assessing violations of the proportional hazards assumption in Cox regression. Stat Med 1995;14: 1707-23. https://doi.org/10.1002/sim.4780141510
  23. McNaughton SA, Ball K, Crawford D, Mishra GD. An index of diet and eating patterns is a valid measure of diet quality in an Australian population. J Nutr 2008;138:86-93. https://doi.org/10.1093/jn/138.1.86
  24. Shannon J, Shikany JM, Barrett-Connor E, Marshall LM, Bunker CH, Chan JM, Stone KL, Orwoll E; Osteoporotic Fractures in Men (MrOS) Research Group. Demographic factors associated with the diet quality of older US men: baseline data from the Osteoporotic Fractures in Men (MrOS) study. Public Health Nutr 2007;10:810-8.
  25. Reeves MM, Healy GN, Owen N, Shaw JE, Zimmet PZ, Dunstan DW. Joint associations of poor diet quality and prolonged television viewing time with abnormal glucose metabolism in Australian men and women. Prev Med 2013;57:471-6. https://doi.org/10.1016/j.ypmed.2013.06.023
  26. Tobias DK, Hu FB, Chavarro J, Rosner B, Mozaffarian D, Zhang C. Healthful dietary patterns and type 2 diabetes mellitus risk among women with a history of gestational diabetes mellitus. Arch Intern Med 2012;172:1566-72. https://doi.org/10.1001/archinternmed.2012.3747
  27. InterAct Consortium. Adherence to predefined dietary patterns and incident type 2 diabetes in European populations: EPIC-InterAct Study. Diabetologia 2014;57:321-33. https://doi.org/10.1007/s00125-013-3092-9
  28. Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi F. Dietary diversity score and cardiovascular risk factors in Tehranian adults. Public Health Nutr 2006;9:728-36.
  29. George SM, Ballard-Barbash R, Manson JE, Reedy J, Shikany JM, Subar AF, Tinker LF, Vitolins M, Neuhouser ML. Comparing indices of diet quality with chronic disease mortality risk in postmenopausal women in the Women's Health Initiative Observational Study: evidence to inform national dietary guidance. Am J Epidemiol 2014;180:616-25. https://doi.org/10.1093/aje/kwu173
  30. Fung TT, McCullough M, van Dam RM, Hu FB. A prospective study of overall diet quality and risk of type 2 diabetes in women. Diabetes Care 2007;30:1753-7. https://doi.org/10.2337/dc06-2581
  31. Verger EO, Mariotti F, Holmes BA, Paineau D, Huneau JF. Evaluation of a diet quality index based on the probability of adequate nutrient intake (PANDiet) using national French and US dietary surveys. PLoS One 2012;7:e42155. https://doi.org/10.1371/journal.pone.0042155
  32. Osler M, Heitmann BL, Gerdes LU, Jorgensen LM, Schroll M. Dietary patterns and mortality in Danish men and women: a prospective observational study. Br J Nutr 2001;85:219-25. https://doi.org/10.1079/BJN2000240
  33. Kant AK, Schatzkin A, Harris TB, Ziegler RG, Block G. Dietary diversity and subsequent mortality in the First National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. Am J Clin Nutr 1993;57:434-40. https://doi.org/10.1093/ajcn/57.3.434
  34. Kant AK, Schatzkin A, Graubard BI, Schairer C. A prospective study of diet quality and mortality in women. JAMA 2000;283:2109-15. https://doi.org/10.1001/jama.283.16.2109
  35. Seymour JD, Calle EE, Flagg EW, Coates RJ, Ford ES, Thun MJ. Diet quality index as a predictor of short-term mortality in the American Cancer Society Cancer Prevention Study II Nutrition Cohort. Am J Epidemiol 2003;157:980-8. https://doi.org/10.1093/aje/kwg077
  36. Sjogren P, Becker W, Warensjo E, Olsson E, Byberg L, Gustafsson IB, Karlstrom B, Cederholm T. Mediterranean and carbohydraterestricted diets and mortality among elderly men: a cohort study in Sweden. Am J Clin Nutr 2010;92:967-74. https://doi.org/10.3945/ajcn.2010.29345
  37. Jankovic N, Geelen A, Streppel MT, de Groot LC, Orfanos P, van den Hooven EH, Pikhart H, Boffetta P, Trichopoulou A, Bobak M, Bueno-de-Mesquita HB, Kee F, Franco OH, Park Y, Hallmans G, Tjonneland A, May AM, Pajak A, Malyutina S, Kubinova R, Amiano P, Kampman E, Feskens EJ. 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 2014;180:978-88. https://doi.org/10.1093/aje/kwu229
  38. Jain M, Howe GR, Harrison L, Miller AB. A study of repeatability of dietary data over a seven-year period. Am J Epidemiol 1989;129: 422-9. https://doi.org/10.1093/oxfordjournals.aje.a115146
  39. Jensen OM, Wahrendorf J, Rosenqvist A, Geser A. The reliability of questionnaire-derived historical dietary information and temporal stability of food habits in individuals. Am J Epidemiol 1984;120: 281-90. https://doi.org/10.1093/oxfordjournals.aje.a113891
  40. Lindsted KD, Kuzma JW. Long-term (24-year) recall reliability in cancer cases and controls using a 21-item food frequency questionnaire. Nutr Cancer 1989;12:135-49. https://doi.org/10.1080/01635588909514012
  41. Mursu J, Steffen LM, Meyer KA, Duprez D, Jacobs DR Jr. Diet quality indexes and mortality in postmenopausal women: the Iowa Women's Health Study. Am J Clin Nutr 2013;98:444-53. https://doi.org/10.3945/ajcn.112.055681
  42. Sijtsma FP, Meyer KA, Steffen LM, Shikany JM, Van Horn L, Harnack L, Kromhout D, Jacobs DR Jr. 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;95:580-6. https://doi.org/10.3945/ajcn.111.020719
  43. Thompson FE, Metzner HL, Lamphiear DE, Hawthorne VM. Characteristics of individuals and long term reproducibility of dietary reports: the Tecumseh Diet Methodology Study. J Clin Epidemiol 1990;43:1169-78. https://doi.org/10.1016/0895-4356(90)90018-K
  44. Strazzullo P, D'Elia L, Kandala NB, Cappuccio FP. Salt intake, stroke, and cardiovascular disease: meta-analysis of prospective studies. BMJ 2009;339:b4567. https://doi.org/10.1136/bmj.b4567
  45. Ahn Y, Kwon E, Shim JE, Park MK, Joo Y, Kimm K, Park C, Kim DH. Validation and reproducibility of food frequency questionnaire for Korean genome epidemiologic study. Eur J Clin Nutr 2007;61: 1435-41. https://doi.org/10.1038/sj.ejcn.1602657

피인용 문헌

  1. Development of Nutrition Quotient for Korean adults: item selection and validation of factor structure vol.51, pp.4, 2018, https://doi.org/10.4163/jnh.2018.51.4.340
  2. Association of Smoking-Related Knowledge, Attitude, and Practices (KAP) with Nutritional Status and Diet Quality: A Cross-Sectional Study in China vol.2019, pp.None, 2019, https://doi.org/10.1155/2019/5897478
  3. Impact of handgrip strength on cardiovascular, cancer and all-cause mortality in the Korean longitudinal study of ageing vol.9, pp.5, 2018, https://doi.org/10.1136/bmjopen-2018-027019
  4. Association between family history of diabetes and clusters of adherence to healthy behaviors: cross-sectional results from the Health Examinees-Gem (HEXA-G) study vol.9, pp.6, 2018, https://doi.org/10.1136/bmjopen-2018-025477
  5. Factors Related to Efforts to Enhance Health Behavior Among Patients With Metabolic Disease vol.10, pp.10, 2018, https://doi.org/10.15207/jkcs.2019.10.10.337
  6. Relationship between diet quality and sarcopenia in elderly Koreans: 2008-2011 Korea National Health and Nutrition Examination Survey vol.14, pp.4, 2018, https://doi.org/10.4162/nrp.2020.14.4.352