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http://dx.doi.org/10.5352/JLS.2009.19.10.1403

The Development of Obesity Age (OA) for Health Index of Middle Aged Obese Women  

Lee, Dong-Jun (Department of Physical education, Sport and Leisure Studies, Myongji University)
Park, Tae-Seop (Department of Physical education, Sport and Leisure Studies, Myongji University)
Publication Information
Journal of Life Science / v.19, no.10, 2009 , pp. 1403-1409 More about this Journal
Abstract
The purpose of this study was to compare Obesity Age (OA) and chronological age, to calculate Obesity Age (OA), which gauges the state of obesity, and to analyze presented factors of obesity using expectant factors on middle-aged obese women. The subjects were one hundred twenty seven middle-aged obese women ($49.6\pm7.3$ yr, BMI $29.41\pm2.9$, fat $36.8\pm4.6%$) who participated in different weight loss programs three times. The body composition, physical fitness, blood pressure and blood were measured before the weight loss programs. Informed consent was obtained from all subjects before enrollment in the study. The regression equation is as follows: (1) OAS (Obesity Age Score)=$0.106*X_1+0.035*X_2+0.048*X_3+0.041*X_4+0.003*X_5-0.037*X_6-10.667$ ($X_1$: BMI, $X_2$: weight, $X_3$: %fat, $X_4$: WC, $X_5$: TG, $X_6$: $VO_{2max}$), (2) OA (Obesity Age)=7.3*OAS+49.6*(-1), (3) Z (correction factor)=(CA-49.6)(1-0.03), (4) OAc (corrected Obesity Age)=1.03*CA-7.3*OAS+1.47. The comparison of corrected Obesity Age (OAc) and chronological age did not have any differences, and the average of the OAc was close to chronological age. The correlation coefficient between the OAc and chronological age was r=0.724 (p<0.05). The equation can be utilized for middle-aged obese women, because it could evaluate the obesity-related factors by including BMI, body weight, %fat, waist circumference, triglycerides and $VO_{2max}$.
Keywords
Obesity age(OA); obese women; health index;
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1 Hortobagyi, T., R G. Israel, and K. F. O'Brien. 1994 . Eensitivity and specificity of the Quetelet index to assess obesity in men and women. Eur. J. Clin. Nutr. 48, 769-7755
2 Wellens, R. I., A. F. Roche, H J. Khamis, A. S. Jackson, M. 1. Pollock, and R. M. Siervogel. 1996. Relationship between the body mass index and body composition. Obes. Res. 4, 35-44   DOI   ScienceOn
3 WHO. 1995. Physical status: The use and interpretation of anthropometry. Technical report series 854, WHO, Geneva
4 World Health Organization. 2000. The Asia-Pacific Perspectiii: Redefining Obesity and its Treatment. West Pacific Region
5 Yi, S. M. 2005. To create a regression equation for health physical fitness age in the older women. Journal of Physical Growth and Motor Development 13, 123-132
6 Nakhostin-Roohi, B. and Z. Niknam. 2008. BMI, fat percentage and V02max in college staff. The Journal of Sports Medicine and Physical Fitness 48, 211-216
7 Park, H R, I. Y. Paik, H. E. Jin, Y. I. Kim, Y. S. Kwak, and J. H Woo. 2008. Effects of regular exercise and diet on RMR and hormonal changes in obese women. J. Life Science 18, 865-870
8 Park, T. G. 2008. Effects of aerobic training plus diet on blood lipids and apolipoproteins in obese children. J. Life Science 18, 1384-1389
9 Sim, S. J. and H S. Park. 2004. The cut-off values of body fat to identify cardiovascular risk among Korean adults. The Korean Journal of Obesity 13, 14-21
10 Sung, E. J. and T. S. Shin. 2003. The Effect of Overweight to Cardiovascular Risk Factors among Korean Adolescents. The korean academy of family medicine 24, 1017-1025
11 Tanaka, K, F. Nakadomo, K Watanabe, A. Inagaki, HK Kim, and Y. Matsuura. 1992. Body composition prediction equations based on bioelectrical impedance and anthropometric variables for Japanese obese women. Am. J. Hum. BioI. 4, 739-745   DOI
12 Tanaka, K, Y. Matsuura, F. Nakadomo, and E. Nakamura. 1990. Assessment of vital age of Japanese women by principal component analysis. Japan Journal of Physical Education Health and Sport Science 35, 121-131
13 Turcato, E., O. Bosello, V. Di Francesco, T, B. Harris, E. Zoico, 1. Bissoli, E. racassi, and M. Zamboni. 2000. Waist circumference and abdominal sagittal diameter as surrogates of body fat distributionin the elderly: their relation with cardiovascular risk factors. Int. J. Obes. 24, 1005-1010   DOI   ScienceOn
14 Webster, I. and A. R. Logie. 1976. A relationship between functional age and health status in female subjects. J. Gerontol. 31, 546-550   DOI
15 Kim, K. H, J. H Park, J. H Choi, Y. S. Kang, H. M. Park, Y. M. Kim, and J. S. Kim. 1995. Development of evaluation criterion on physical fitness for healthy adults. The Korean Journal of Physical Education 34, 3373-3390
16 Im, G. W., H S. Noh, S. N. Lee, S. G. Choe, and K. Tanaka. 2002. Development of the health index for middle-aged women-The estimation of the health age according to the increase of age-. The Korean Journal of Exercise Nutrition 6, 247-252
17 Jeong, D. S. and K. H Kim. 1998. The Assessment of activity fitness age in elderly men. The Korean Journal of Physical Education 37, 547-559
18 Jeong, S. B. and S. I. Park. 2000. A study on the specification of the estimated formula for physical age of the aged. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science 2, 91-106
19 Lee, M. G., H D. Kim, J. K. Song, S. A Kong, and S. C. Sung. 2005. Comparison of vital age between sports club participants and general individuals. Korean Journal of Sport Science 16, 85-98
20 Lee, M. S. 1999. Estimation of physical fitness age of daily living in older Women. The Korean Journal of Physical Education 38, 678-688
21 Lee, M. S., Y. Mastuura, and K. Tanaka. 1993. Assessment of physical fitness age in middle-aged and elderly men. J. Sports. Med. Phys. Fitness 42, 59-68
22 Lim, B. K. 1999. The effects of regularly exercise on health - related physical fitness age and physiology age in adult women. Journal of Physical Growth and Motor Development 7, 11-20
23 Ministry for health welfare and family affairs. 2005. National health insurance corporation, http://www.nhic.or.kr/eng/
24 Brozek, J. F., J. T. Grande, Anderson, and A Keys. 1963. Densitometric analysis of body composition: revision of some quantitative assumptions. Ann. N. Y. Acad. Sci. 110, 113-140   DOI   ScienceOn
25 Austin, M. A, J. E. Hokanson, and K. L. Edwards. 1998. Hypertriglyceridemia as a cardiovascular risk factor. Am. J. Cardiol. 81, 7B-12B   DOI   ScienceOn
26 Beaver, W. L., K. Wasserman, and B. J. Whipp. 1985. Improved detection of lactate threshold during exercise using a log-log transformation. J. Appl. Physiol. 59, 1936-1940   DOI   ScienceOn
27 Bray, G. A 1989. Classification and evaluation of the obesity. Med. Clin. North Am. 73, 161-184
28 Deurenberg, P., M. Yap, and W. A Van Staveren. 1998. Body mass index and percent body fat: a meta analysis among different ethnic group. Int. J. Obes. 22, 1164-1171   DOI   ScienceOn
29 Dubina, T. 1., A Y. Mints, and E. V. Zhuk. 1984. Biology age and its estimation. III. Introduction of a correction to the multiple regression model of biological age in cross-sectional and longitudinal studies. Exp. Gerontol. 19, 133-143   DOI   ScienceOn
30 Friedman, J. M., R M. Leibel, and N. Bahary. 1991. Molecular mapping of obesity genes. Mamm. Genome 1, 130-144   DOI   ScienceOn
31 Furukawa, T., M. Inoue, F. Kajiya, H Inada, S. Takasugi, S. Fukui, and H Takeda. 1975. Assessment of biological age by multiple regression analysis. J. Gerontol. 30, 422-434