J Korean Med Sci.  2011 Dec;26(12):1599-1605. 10.3346/jkms.2011.26.12.1599.

Characteristics of Body Fat, Body Fat Percentage and Other Body Composition for Koreans from KNHANES IV

Affiliations
  • 1Division of Endocrinology, Department of Internal Medicine, College of Medicine, Hanyang University, Seoul, Korea. whchoi@hanyang.ac.kr
  • 2Department of Family Medicine, College of Medicine, Kwandong University, Cheil General Hospital, Seoul, Korea.
  • 3Department of Gynecology, Inje University Sanggye Paik Hospital, Seoul, Korea.
  • 4Department of Obstetrics and Gynecology, College of Medicine, Seoul National University, Seoul, Korea.
  • 5Division of Endocrinology and Endocrine Research Institute, Department of Internal Medicine, College of Medicine, Yonsei University, Seoul, Korea.
  • 6Division of Chronic Disease Surveillance, Korea Centers for Disease Control and Prevention, Cheongwon, Korea.
  • 7Hologic, Inc., Bedford, Massachusetts, United States of America.

Abstract

Accurate measurement of fat mass has become increasingly important with the increasing incidence of obesity. We assessed fat and muscle mass of Koreans with the Korea National Health and Nutrition Examination Survey IV (KNHANES IV). We studied 10,456 subjects (aged 20 to 85 yr; 4,476 men, 5,980 women). Fat and muscle mass were measured by dual-energy x-ray absorptiometry. Reference values of body compositions were obtained using the LMS method. The fat mass index (FMI, body fat mass/height2; kg/m2) of Korean men did not correlate with age (P = 0.452), but those of Korean women (P < 0.001) did. The ratio of percentage of fat in the trunk and legs was positively related with age in both the genders. The appendicular lean mass/height2 (kg/m2) of Korean men was negatively related to age (P < 0.001). In women, this ratio increased with age (P < 0.001). When we defined obesity according to the FMI classification, the rates of obesity were 6.1% (FMI > 9 kg/m2) in men and 2.7% (FMI > 13 kg/m2) in women. It is concluded that the muscle mass decreases and obesity increases with aging in Korean men, whereas both fat mass and obesity increase with aging in Korean women.

Keyword

Obesity; Sarcopenia; Body composition; Korea; NHANES; DXA

MeSH Terms

Absorptiometry, Photon
Adipose Tissue
Age Factors
*Body Composition
*Body Fat Distribution
*Body Mass Index
Body Weight
Female
Humans
Male
Nutrition Surveys
*Obesity
Republic of Korea

Figure

  • Fig. 1 Percentile curves; the mean, 3rd, 10th, 25th, 75th, 90th, and 97th percentiles superimposed on raw data values. BMI (kg/m2), waist circumference (cm), FMI (kg/m2), fat percentage (%), trunk/legs fat percentage ratio, trunk/limb fat mass ratio, appendicular lean mass/height2, and appendicular/trunk lean mass ratio are considered. BMI, body mass index; FMI, fat mass index.

  • Fig. 2 Prevalence of overweightness and obesity in Korea, based on FMI as a function of age (A, men; B, women). FMI values are listed in Table 4. FMI, fat mass index.


Cited by  3 articles

Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus
Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes Metab J. 2021;45(2):183-194.    doi: 10.4093/dmj.2019.0171.

Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men
Sun Min Oh, Bo Mi Song, Byung-Ho Nam, Yumie Rhee, Seong-Hwan Moon, Deog Young Kim, Dae Ryong Kang, Hyeon Chang Kim
Yonsei Med J. 2016;57(1):187-196.    doi: 10.3349/ymj.2016.57.1.187.

Association of Shift Work with Normal-Weight Obesity in Community-Dwelling Adults
Chul Woo Ahn, Sungjae Shin, Seunghyun Lee, Hye-Sun Park, Namki Hong, Yumie Rhee
Endocrinol Metab. 2022;37(5):781-790.    doi: 10.3803/EnM.2022.1532.


Reference

1. Prentice AM. The emerging epidemic of obesity in developing countries. Int J Epidemiol. 2006. 35:93–99.
2. WHO. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000. 894:i–xii. 1–253.
3. Cho M, Park JS, Nam J, Kim CS, Nam JH, Kim HJ, Ahn CW, Cha BS, Lim SK, Kim KR, Lee HC, Huh KB. Association of abdominal obesity with atherosclerosis in type 2 diabetes mellitus (T2DM) in Korea. J Korean Med Sci. 2008. 23:781–788.
4. Kim JY, Chang HM, Cho JJ, Yoo SH, Kim SY. Relationship between obesity and depression in the Korean working population. J Korean Med Sci. 2010. 25:1560–1567.
5. Kennedy AP, Shea JL, Sun G. Comparison of the classification of obesity by BMI vs. dual-energy X-ray absorptiometry in the Newfoundland population. Obesity (Silver Spring). 2009. 17:2094–2099.
6. Heymsfield SB, Gallagher D, Mayer L, Beetsch J, Pietrobelli A. Scaling of human body composition to stature: new insights into body mass index. Am J Clin Nutr. 2007. 86:82–91.
7. Prior BM, Cureton KJ, Modlesky CM, Evans EM, Sloniger MA, Saunders M, Lewis RD. In vivo validation of whole body composition estimates from dual-energy X-ray absorptiometry. J Appl Physiol. 1997. 83:623–630.
8. Yoon KH, Lee JH, Kim JW, Cho JH, Choi YH, Ko SH, Zimmet P, Son HY. Epidemic obesity and type 2 diabetes in Asia. Lancet. 2006. 368:1681–1688.
9. Wulan SN, Westerterp KR, Plasqui G. Ethnic differences in body composition and the associated metabolic profile: a comparative study between Asians and Caucasians. Maturitas. 2010. 65:315–319.
10. Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS One. 2009. 4:e7038.
11. Schoeller DA, Tylavsky FA, Baer DJ, Chumlea WC, Earthman CP, Fuerst T, Harris TB, Heymsfield SB, Horlick M, Lohman TG, Lukaski HC, Shepherd J, Siervogel RM, Borrud LG. QDR 4500A dual-energy X-ray absorptiometer underestimates fat mass in comparison with criterion methods in adults. Am J Clin Nutr. 2005. 81:1018–1025.
12. Bonnet E, Delpierre C, Sommet A, Marion-Latard F, Hervé R, Aquilina C, Labau E, Obadia M, Marchou B, Massip P, Perret B, Bernard J. Total body composition by DXA of 241 HIV-negative men and 162 HIV-infected men: proposal of reference values for defining lipodystrophy. J Clin Densitom. 2005. 8:287–292.
13. Law M, Puls R, Cheng AK, Cooper DA, Carr A. Evaluation of the HIV lipodystrophy case definition in a placebo-controlled, 144-week study in antiretroviral-naive adults. Antivir Ther. 2006. 11:179–186.
14. Pan H, Cole TJ. A comparison of goodness of fit tests for age-related reference ranges. Stat Med. 2004. 23:1749–1765.
15. WHO. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser. 1995. 854:1–452.
16. Rush EC, Freitas I, Plank LD. Body size, body composition and fat distribution: comparative analysis of European, Maori, Pacific Island and Asian Indian adults. Br J Nutr. 2009. 102:632–641.
17. Gallagher D, Heymsfield SB, Heo M, Jebb SA, Murgatroyd PR, Sakamoto Y. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr. 2000. 72:694–701.
18. Wulan SN, Westerterp KR, Plasqui G. Ethnic differences in body composition and the associated metabolic profile: a comparative study between Asians and Caucasians. Maturitas. 2010. 65:315–319.
19. Chung S, Song MY, Shin HD, Kim DY, He Q, Heshka S, Wang J, Thornton J, Laferrère B, Pi-Sunyer FX, Gallagher D. Korean and Caucasian overweight premenopausal women have different relationship of body mass index to percent body fat with age. J Appl Physiol. 2005. 99:103–107.
Full Text Links
  • JKMS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr