The Korean Journal of Food And Nutrition (한국식품영양학회지)

The Korean Society of Food and Nutrition (한국식품영양학회)
권호 표지
DOI QR코드

DOI QR Code

Comparison of Risk Factors for Inducing Aging-Related Diseases according to Single and Multi-Person Households among Young Adults using the 2016-2019 Korea National Health and Nutrition Survey

젊은 성인층의 단독가구와 다인가구에서 고령호발질환유발 위험요인 비교 연구 - 2016~2019년 국민건강영양조사 활용 -

  • 박은빈 (을지대학교 식품영양학과) ;
  • 이주연 (을지대학교 식품영양학과) ;
  • 김명철 (을지대학교 물리치료학과) ;
  • 박항식 (을지대학교 교양학부) ;
  • 백진경 (을지대학교 식품영양학과)
  • Received : 2021.03.27
  • Accepted : 2021.08.04
  • Published : 2021.08.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, data from the 7th (2016~2018) and 8th (2019) Korea National Health and Nutrition Examination Surveys were used, which included 5,325 subjects. Health behavior, dietary and nutrient intake status, physical measurement and biochemical characteristics, and risk factors for elderly related chronic diseases were classified and analyzed according to the changing composition of single households and other households in the current society. As a result, the ratio of current smokers and drinkers in young adult single households, walking less than 30 minutes per day, subjective health status was poor, breakfast rate less than three times per week, eating out frequency more than once a day, lipid intake ratio to total calories, saturation fatty acid intake were significantly higher. In addition, waist circumference, and diastolic blood pressure were significantly higher. However, dietary fiber intake level was significantly lower. The results for hypertension, which is the representative chronic disease that causes old age-related chronic diseases, were significantly higher in single households (ORs=1.400 (95% CI: 1.095, 1.791), p=0.007). Although young adults may not have showed particularly serious health problems yet, education is believed as important to recognize and prevent age-related disease risk factors.

Keywords

Acknowledgement

본 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단(NRF-2016M3A9B6904246) 지원을 받아 수행된 연구임.

References

  1. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WPT, Loria CM, Smith SC Jr. 2009. Harmonizing the metabolic syndrome: A joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American heart association; world heart federation; international atherosclerosis society; and international association for the study of obesity. Circulation 120:1640-1645 https://doi.org/10.1161/CIRCULATIONAHA.109.192644
  2. An B, Son J. 2018. Analysis of metabolic syndrome in Korean adult one-person households. J Korean Pubilc Health Nurs 32:30-43
  3. Anderson SA. 1990. Core indicators of nutritional state for difficult-to-sample populations. J Nutr 120:1555-1600 https://doi.org/10.1093/jn/120.suppl_11.1555
  4. Bae YJ. 2016. Evaluation of dietary intake in Korean adults according to energy intake from eating-out: Based on 2013~2014 Korea national health and nutrition examination survey. J Nutr Health 49:482-494 https://doi.org/10.4163/jnh.2016.49.6.482
  5. Choi SB, Kwak JH, Chung HK, Kang HJ, Paik JK. 2020. Comparison of nutrient intake and metabolic syndrome between single person households and non-single person households in elderly subjects - From the sixth Korea national health and nutrition examination survey (KNHANES, 2013~2015). Korean J Food Nutr 33:322-330 https://doi.org/10.9799/KSFAN.2020.33.3.322
  6. Deshmukh-Taskar P, Nicklas TA, Radcliffe JD, O'Neil CE, Liu Y. 2013. The relationship of breakfast skipping and type of breakfast consumed with overweight/obesity, abdominal obesity, other cardiometabolic risk factors and the metabolic syndrome in young adults. The National Health and Nutrition Examination Survey (NHANES): 1999-2006. Public Health Nutr 16:2073-2082 https://doi.org/10.1017/S1368980012004296
  7. Devaraj S, Wang-Polagruto J, Polagruto J, Keen CL, Jialal I. 2008. High-fat, energy-dense, fast-food-style breakfast results in an increase in oxidative stress in metabolic syndrome. Metabolism 57:867-870 https://doi.org/10.1016/j.metabol.2008.02.016
  8. Eckel RH, Grundy SM, Zimmet PZ. 2005. The metabolic syndrome. Lancet 365:1415-1428 https://doi.org/10.1016/S0140-6736(05)66378-7
  9. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F. 2005. Diagnosis and management of the metabolic syndrome: An American heart association/national heart, lung, and blood institute scientific statement. Circulation 112:2735-2752 https://doi.org/10.1161/CIRCULATIONAHA.105.169404
  10. Ha JK, Lee S. 2017. The effect of health-related habitual consumption and lifetime on subjective health of one person households: Focusing on comparison between non-one person households and generations. Fam Environ Res 55:141-152 https://doi.org/10.6115/fer.2017.011
  11. Han JH, Cheong SY, Kim HJ. 2016. The housing development directions based on the housing needs of middle-aged single-person households. J Archit Inst Korea Plann Des 32:3-12
  12. Hanson RL, Imperatore G, Bennett PH, Knowler WC. 2002. Components of the "metabolic syndrome" and incidence of type 2 diabetes. Diabetes 51:3120-3127 https://doi.org/10.2337/diabetes.51.10.3120
  13. Hsu PF, Chuang SY, Cheng HM, Tsai ST, Chou P, Chen CH. 2008. Clinical significance of the metabolic syndrome in the absence of established hypertension and diabetes: A community-based study. Diabetes Res Clin Pract 79:461-467 https://doi.org/10.1016/j.diabres.2007.09.021
  14. Hu G, Qiao Q, Tuomilehto J, Balkau B, Borch-Johnsen K, Pyorala K, DECODE Study Group. 2004. Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med 164:1066-1076 https://doi.org/10.1001/archinte.164.10.1066
  15. Hudson JI, Lalonde JK, Coit CE, Tsuang MT, McElroy SL, Crow SJ, Bulik CM, Hudson MS, Yanovski JA, Rosenthal NR, Pope HG Jr. 2010. Longitudinal study of the diagnosis of components of the metabolic syndrome in individuals with binge-eating disorder. Am J Clin Nutr 91:1568-1573 https://doi.org/10.3945/ajcn.2010.29203
  16. Kang NY, Jung BM. 2019. Analysis of the difference in nutrients intake, dietary behaviors and food intake frequency of single- and non single-person households: The Korea national health and nutrition examination survey (KNHANES), 2014-2016. Korean J Community Nutr 24:1-17 https://doi.org/10.5720/kjcn.2019.24.1.1
  17. Kharicha K, Iliffe S, Harari D, Swift C, Gillmann G, Stuck AE. 2007. Health risk appraisal in older people 1: Are older people living alone an "at-risk" group? Br J Gen Pract 57:271-276
  18. Kim A. 2018. Effect of health behaviors, dietary habits, and psychological health on metabolic syndrome in one-person households among Korean young adults. J Digital Convertgence 16:493-509
  19. Kim HK, Kim JH, Jung HK. 2012. A comparison of health related habits, nutrition knowledge, dietary habits, and blood composition according to gender and weight status of college students in Ulsan. Korean J Nutr 45:336-346 https://doi.org/10.4163/kjn.2012.45.4.336
  20. Korean Statistical Information Service [KOSIS]. 2019. Health checkup statistics: Current status by age and gender by number of risk factors for metabolic syndrome. Available from https://kosis.kr/statHtml/statHtml.do?orgId=350&tblId=DT_35007_N136&vw_cd=MT_ZTITLE&list_id=350_35007_BC&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE [cited 3 May 2021]
  21. Korean Statistical Information Service [KOSIS]. 2020. Population trend survey: Statistical office of marriage rates by province/gender/age (1990~2020) - population>population trend survey>marriage>marriage rate by age, number of marriages. Available from https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B83A15&vw_cd=MT_ZTITLE&list_id=A23_1&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE [cited 3 May 2021]
  22. Lee JY, Choi SK, Seo JS. 2019. Evaluation of the nutrition status and metabolic syndrome prevalence of the members according to the number of household members based on the Korea national health and nutrition examination survey (2013-2014). Korean J Community Nutr 24:232-244 https://doi.org/10.5720/kjcn.2019.24.3.232
  23. Lee MS. 2016. Analysis on the factors affecting housing tenure of single-person households of young generation employing the multinomial logit model. J Korean Acad Ind Coop Soc 17:469-481
  24. Lee S, Park HS, Kim SM, Kwon HS, Kim DY, Kim DJ, Cho GJ, Han JH, Kim SR, Park CY, Oh SJ, Lee CB, Kim KS, Oh SW, Kim YS, Choi WH, Yoo HJ. 2006. Cut-off points of waist circumference for defining abdominal obesity in the Korean population. Korean J Obes 15:1-9
  25. Lee Y, Cho W, Oh Y. 2012. Comparison of eating behavior between commensality and solo-eating of university students by BMI. Korean J Community Nutr 17:280-289 https://doi.org/10.5720/kjcn.2012.17.3.280
  26. Lee YS. 2009. A study on fitness, health behaviors, body composition, risk factors for metabolic syndrome of adults. Ph.D. Thesis, Sungkyunkwan Univ. Seoul. Korea
  27. Lim JY, Song YK, Lim HH. 2011. The association between prevalence of metabolic syndrome and nutritional status on university student medical examination in Sungnam metropolitan city. J Korean Med Obes Res 11:1-14
  28. Lin YC, Hsiao TJ, Chen PC. 2009. Persistent rotating shift-work exposure accelerates development of metabolic syndrome among middle-aged female employees: A five-year follow-up. Chronobiol Int 26:740-755 https://doi.org/10.1080/07420520902929029
  29. McNeill AM, Rosamond WD, Girman CJ, Golden SH, Schmidt MI, East HE, Ballantyne CM, Heiss G. 2005. The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities study. Diabetes Care 28:385-390 https://doi.org/10.2337/diacare.28.2.385
  30. Ministry of Science and ICT [MSIT]. 2018. Clinical reseach for disease biomarker development of advanced orphan diseases by OMICS. Available from https://scienceon.kisti.re.kr/srch/selectPORSrchReport.do?cn=TRKO202000006456 [cited 25 June 2021]
  31. Park HA, Kim YS, Sun WS. 2006. Risk factors of hypertension among Korean adults. J Korean Acad Fam Med 27:917-926
  32. Rha YA, Kang MJ, Lee SH, Kim JY. 2015. Nutrition intake according to food and exercise habits in female college students of Yang-Ju Si. Korean J Culin Res 21:284-293
  33. Shin KA. 2018. Assessing a body shape index and waist to height ratio as a risk predictor for insulin resistance and metabolic syndrome among Korean adults. Korean J Clin Lab Sci 50:44-53 https://doi.org/10.15324/kjcls.2018.50.1.44
  34. Son SM, Huh GY. 2006. Dietary risk factors associated with hypertension in patients. Korean J Community Nutr 11:661-672
  35. Zhu B, Haruyama Y, Muto T, Yamazaki T. 2015. Association between eating speed and metabolic syndrome in a three-year population-based cohort study. J Epidemiol 25:332-336 https://doi.org/10.2188/jea.JE20140131