DOI QR코드

DOI QR Code

Dietary Reference Intakes for Koreans with special consideration to older adults

  • Kim, Hyesook (Department of Nutritional Science and Food Management, Graduate Program in System Health Science and Engineering, Ewha Womans University) ;
  • Hwang, Ji-Yun (Major of Foodservice Management and Nutrition, Sangmyung University) ;
  • Kwon, Oran (Department of Nutritional Science and Food Management, Graduate Program in System Health Science and Engineering, Ewha Womans University)
  • Received : 2021.10.26
  • Accepted : 2022.03.28
  • Published : 2022.05.20

Abstract

BACKGROUND/OBJECTIVES: The Dietary Reference Intakes for Koreans (KDRIs) were revised in 2020. Due to the rapidly aging Korean population, special consideration was given to reclassify the KDRI age group categories of older adults. This article examines the evidence for modifying the current KDRI age group ranges of older adults (65-74 and ≥ 75 yrs). SUBJECTS/METHODS: We first reviewed the domestic and international data on the elderly, following which we received expert opinions on age classification from the KDRI Advisory Committee. Finally, the 6th and 7th (2013-2017) Korea National Health and Nutrition Examination Survey (KNHANES) data were used to analyze the nutritional intake statuses by considering the age of older adults. RESULTS: According to the review results of domestic and international data and the inputs received from the expert advisory committee, the minimum age considered for the elderly was maintained at 65 yrs. However, the KNHANES data was analyzed to review whether there was a need to subdivide the later periods. Examining the differences in nutrient intakes by age group through the interaction effect term of the piecewise linear regression model revealed the interaction effect was maximum in the groups divided by 65 yrs (50-64 and 65-80), as compared to the groups divided by 70 yrs (50-69 and 70-80) and 75 yrs (50-74 and 75-80). The mean adequacy ratio was calculated per 1 yr of age, and a 3-yr (age) moving average analysis was performed to examine the change in the trends of overall nutrient intake. However, it was challenging to secure a scientific basis for subdivision into age groups in older adults from the results obtained. CONCLUSIONS: This study could not find any scientific evidence for modifying the KDRI age groups for older adults.

Keywords

Acknowledgement

This research was supported by the Policy Research Program for Project No. 20180415A13-00, 25193068200, 25203084501 from the Ministry of Health and Welfare in 2018-2020.

References

  1. The Korean Nutrition Society. Dietary Reference Intakes for Koreans 2010. Seoul: The Korean Nutrition Society; 2010.
  2. The Korean Nutrition Society. Dietary Reference Intakes for Koreans 2005. Seoul: The Korean Nutrition Society; 2005.
  3. Ministry of Health and Welfare (KR); The Korean Nutrition Society. Dietary Reference Intakes for Koreans 2015. Seoul: The Korean Nutrition Society; 2015.
  4. World Health Organization. World report on ageing and health [Internet]. Geneva: World Health Organization; 2015 [cited 2021 September 20]. Available from: https://apps.who.int/iris/handle/10665/186463.
  5. Statistics Korea. Population projections for Korea [Internet]. Daejeon: Statistics Korea; 2015 [cited 2021 December 9]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1BPA001&vw_cd=MT_ZTITLE&list_id=A41_10&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE.
  6. Ministry of the Interior and Safety (KR). Population Statistics of Resident Registration 2017. Sejong: Ministry of the Interior and Safety; 2017.
  7. Statistics Korea. Population and housing census [Internet]. Daejeon: Statistics Korea; 2015 [cited 2021 July 29]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1IN1503&vw_cd=MT_ZTITLE&list_id=A11_2015_1_10_10&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE.
  8. Statistics Korea. e-National indicators: population structure by age [Internet]. Daejeon: Statistics Korea; 2016 [cited 2021 December 9]. Available from: http://www.index.go.kr.
  9. Statistics Korea. Statistics of Aged People 2016. Sejong: Statistics Korea; 2016.
  10. Statistics Korea. Projected population by major age group [Internet]. Daejeon: Statistics Korea; 2017 [cited 2021 December 9]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1BPA001.
  11. Ministry of Education (KR). Brief Statistics on Korean Education 2016. Sejong: Ministry of Education; 2016.
  12. Korea Institute for Health and Social Affairs. Korean National Survey on Elderly 2017. Sejong: Korea Institute for Health and Social Affairs; 2017.
  13. Korea Centers for Disease Control and Prevention. Korea Community Health Survey 2018. Sejong: Korea Centers for Disease Control and Prevention; 2018.
  14. Korea Centers for Disease Control and Prevention. Korea National Health and Nutrition Examination Survey 2018. Sejong: Korea Centers for Disease Control and Prevention; 2018.
  15. Ministry of Health, Labour and Welfare (JP). Dietary Reference Intakes for Japanese 2015. Tokyo: Ministry of Health, Labour and Welfare; 2015.
  16. Food and Nutrition Board (US); Institute of Medicine. Dietary Reference Intakes for Calcium and Vitamin D. Washington, D.C.: National Academy Press, 2011.
  17. Department of Health and Ageing, New Zealand Ministry of Health. Nutrient Reference Values for Australia and New Zealand. Canberra: National Health and Medical Research Council; 2017.
  18. Committee on Medical Aspects of Food Policy. Dietary Reference Values for Food Energy and Nutrients in the United Kingdom. Report of the Panel on Dietary Reference Values of the Committee on Medical Aspects of the Food Policy. London: HMSO, 2011.
  19. Chinese Nutrition Society. Chinese Dietary Reference Intakes Handbook 2013. Beijing: China Standard Press; 2014.
  20. Guthrie HA, Scheer JC. Validity of a dietary score for assessing nutrient adequacy. J Am Diet Assoc 1981;78:240-5. https://doi.org/10.1016/S0002-8223(21)04795-7
  21. Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 2000;19:335-51. https://doi.org/10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z
  22. Pickle LW, Hao Y, Jemal A, Zou Z, Tiwari RC, Ward E, Hachey M, Howe HL, Feuer EJ. A new method of estimating United States and state-level cancer incidence counts for the current calendar year. CA Cancer J Clin 2007;57:30-42. https://doi.org/10.3322/canjclin.57.1.30
  23. Hatloy A, Torheim LE, Oshaug A. Food variety--a good indicator of nutritional adequacy of the diet? A case study from an urban area in Mali, West Africa. Eur J Clin Nutr 1998;52:891-8. https://doi.org/10.1038/sj/ejcn/1600662