New Obesity Index Associated with Fitness Among Korean Adults

Nam Lyong Kang

doi:doi:10.11648/j.ijcems.20210701.12

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New Obesity Index Associated with Fitness Among Korean Adults

Nam Lyong Kang

Published in International Journal of Clinical and Experimental Medical Sciences (Volume 7, Issue 1)

Received: 21 December 2020 Accepted: 29 December 2020 Published: 15 January 2021

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Abstract

Background: The aim of this paper was to introduce a new obesity index associated with fitness and determine effective exercises for reducing the obesity in common Korean adults using a new kind of waist-to-height ratio (WHT2R). Objectives: This cross-sectional study was performed using the public-use releases of the 2017 survey of national physical fitness by the Korea Institute of Sport Science of the Korea Sports Promotion Foundation. Method: The correlation coefficients were calculated by correlation analyses between the obesity indices and four fitness tests for comparison. The lump mean values (LMVs) were introduced to find the association between the WHT2R and fitness tests using a linear regression method and to use as an indicator for the effective control of obesity. Result: The WHT2R is more associated with the fitness than the other indices and the correlation with fitness tests was interpreted more simply using the LMV of the WHT2R rather than that of the body mass index. Setting the goal of exercise using the WHT2R was easier and more convenient than using the body mass index. Conclusion: The WHT2R can be used as a possible contender for predicting fitness and is an effective indicator for the reduction of abdominal obesity.

Published in	International Journal of Clinical and Experimental Medical Sciences (Volume 7, Issue 1)
DOI	10.11648/j.ijcems.20210701.12
Page(s)	5-12
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Waist-to-Height Ratio, Abdominal Obesity, Fitness, Correlation Coefficient, Lump Mean Value, Body Mass Index

References

[1]	Lakka TA, Venalainen JM, Rauramaa R, Salonen R, Tuomilehto J, Salonen JT. Relation of leisure-time physical activity and cardiorespiratory fitness to the risk of acute myocardial infraction in Men. New Engl J Med. 1994; 330 (22): 1549-54.
[2]	Dubbert PM, Carithers T, Sumner AE, Barbour KA, Clark BL, Hall JE, Crook ED. Obesity, physical activity, and risk for cardiovascular disease. Am J Med Sci. 2002; 324 (3): 116-26.
[3]	Carr MC, Brunzell JD. Abdominal obesity and dyslipidemia in the metabolic syndrome: importance of type 2 diabetes and familial combined hyperlipidemia in coronary artery disease risk. J Clin Endocr Metab. 2004; 89 (6): 2601-7.
[4]	Matsuzawa Y. Establishment of a concept of visceral fat syndrome and discovery of adiponectin. P Jap Acad B-Phys. 2010; 86 (2): 131-41.
[5]	Lavie CJ, Ozemek C, Carbone S, Katzmarzyk PT, Blair SN. Sedentary behavior, exercise, and cardiovascular health. Circ Res. 2019; 124 (5): 799-815.
[6]	Hu G, Barengo NC, Tuomilehto J, Lakka TA, Nissinen A, Jousilahti P. Relationship of Physical Activity and Body Mass Index to the Risk of Hypertension: A Prospective Study in Finland. Hypertension. 2004; 43 (1): 25-30.
[7]	Raustorp A, Pangrazi RP, Stähle A. Physical activity level and body mass index among schoolchildren in south-eastern Sweden. Acta Paediatr. 2004; 93 (3): 400-04.
[8]	Pasco JA, Holloway KL, Dobbins AG, Kotowicz MA, Williams LJ, Brennan SL. Body mass index and measures of body fat for defining obesity and underweight: a cross-sectional, population-based study. BMC Obesity. 2014; 23: 1-9.
[9]	Kawai VK, Nwosu SK, Kurnik D, Harrell FE, Stein CM. Variants in BMI-associated genes and adrenergic genes are not associated with gestational weight trajectory. Obesity. 2019; 27 (7): 1184-9.
[10]	Blair D, Habicht JP, Sims EA, Sylwester D, Abraham S. Evidence for an increased risk for hypertension with centrally located body fat and the effect of race and sex on this risk. Am J Epidemiol. 1984; 119 (4): 526-39.
[11]	Kaplan NM. The deadly quartet. Upper-body obesity, glucose intolerance, hypertriglyceridemia, and hypertension. Arch Intern Med. 1989; 149 (7): 1514-20.
[12]	Smalley KJ, Knerr AN, Kendrick ZV, Colliver JA, Owen OE. Reassessment of body mass indices. Am J Clin Nutr. 190; 52 (3): 405-8.
[13]	Hsieh SD, Yoshinaga H. Waist/height ratio as a simple and useful predictor of coronary heart disease risk factors in women. Internal Med. 1995; 34 (12): 1147-52.
[14]	Lee JS, Aoki K, Kawakubo K, Gunji A. A study on indices of body fat distribution for screening for obesity. J Occup Health. 1995; 37 (1): 9-18.
[15]	Hsieh SD, Yoshinaga H, Muto T. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obesity. 2003; 27 (5): 610-6.
[16]	Shen S, Lu Y, Qi H, Li F, Shen Z, Wu L, Yang C, Wang L, Shui K, Yao W, Qiang D, Yun J, Zhou L. Waist-to-height ratio is an effective indicator for comprehensive cardiovascular health. Sci Rep-UK. 2017; 7: 43046.
[17]	Choi JR, Koh SB, Choi E. Waist-to-height ratio index for predicting incidences of hypertension: the ARIRANG study. BMC Public Health. 2018; 18 (1): 767.
[18]	Vasquez F, Correa-Burrows P, Blanco E, Gahagan S, Burrows R. A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents. Pedia Res. 2019; 85 (3): 269-74.
[19]	Nevill AM, Duncan MJ, Lahart IM, Scandercock GR. Scaling waist girth for differences in body size reveals a new improved index associated with cardiometabolic risk. Scan J Med Sci Spor. 2017; 27 (11): 1470-6.
[20]	Valdivia AB, Maia J, Nevill A. Identifying the ideal body size and shape characteristics associated with children’s physical performance tests in Peru. Scan J Med Sci Spor. 2015; 25 (2): e155-65.
[21]	Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS ONE. 2012; 7 (7): e39504.
[22]	Zhu S, Wang Z, Heshka S, Heo M, Faith MS, Heymsfield SB. Waist circumference and obesity-associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds. Am J Clin Nutr 2002; 76 (4): 743-9.
[23]	Taylor RW, Keil D, Gold EJ, Goulding A. Body mass index, waist circumference girth, and waist-to hip circumference ratio as indexes of total and regional adiposity in women: evaluation using receiver operating characteristic curve. Am J Clin Nutr. 1998; 67 (1): 44-9.
[24]	Lu M, Ye W, Adami HO, Weiderpass E. Prospective study of body size and risk for stroke amongst women below age 60. J Intern Med. 2006; 260 (5): 442-50.
[25]	Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev. 2012; 13 (3): 275-86.
[26]	Hwang S, Cho YS, Kang NL. Association between body mass index and fitness in Korean adults according to the lump mean value and Gaussian fitting. Med Hypotheses. 2020; 135: 109471.
[27]	Langenberg C, Shipley MJ, Batty GD, Marmot MG. Adult socioeconomic position and the association between height and coronary heart disease mortality: findings from 33 years of follow-up in the Whitehall Study. Am J Public Health. 2005; 95 (4): 628-32.
[28]	Seidell JC. Waist circumference and waist/hip ratio in relation to all-cause mortality, cancer and sleep apnea. Eur J Clin Nutr 2010; 64 (1): 35-41.
[29]	Petursson H, Sigurdsson JA, Bengtsson C, Nilson TIL, Getz L. Body configuration as a predictor of mortality: comparison of five anthropometric measures in a 12 year follow-up of the Norwegian HUNT 2 study. PLoS ONE 2011; 6 (10): e26621.
[30]	Sloan RA, Haaland BA, Sawada SS, Lee IM, Sui X, Lee DC, Ridouane Y, Müller-Riemenschneider F, Blair SN. A Fit-Fat Index for Predicting Incident Diabetes in Apparently Healthy Men: A Prospective Cohort Study. PLoS ONE 2016; 11 (6): e0157703.

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Nam Lyong Kang. (2021). New Obesity Index Associated with Fitness Among Korean Adults. International Journal of Clinical and Experimental Medical Sciences, 7(1), 5-12. https://doi.org/10.11648/j.ijcems.20210701.12

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ACS Style

Nam Lyong Kang. New Obesity Index Associated with Fitness Among Korean Adults. Int. J. Clin. Exp. Med. Sci. 2021, 7(1), 5-12. doi: 10.11648/j.ijcems.20210701.12

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AMA Style

Nam Lyong Kang. New Obesity Index Associated with Fitness Among Korean Adults. Int J Clin Exp Med Sci. 2021;7(1):5-12. doi: 10.11648/j.ijcems.20210701.12

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@article{10.11648/j.ijcems.20210701.12,
  author = {Nam Lyong Kang},
  title = {New Obesity Index Associated with Fitness Among Korean Adults},
  journal = {International Journal of Clinical and Experimental Medical Sciences},
  volume = {7},
  number = {1},
  pages = {5-12},
  doi = {10.11648/j.ijcems.20210701.12},
  url = {https://doi.org/10.11648/j.ijcems.20210701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijcems.20210701.12},
  abstract = {Background: The aim of this paper was to introduce a new obesity index associated with fitness and determine effective exercises for reducing the obesity in common Korean adults using a new kind of waist-to-height ratio (WHT2R). Objectives: This cross-sectional study was performed using the public-use releases of the 2017 survey of national physical fitness by the Korea Institute of Sport Science of the Korea Sports Promotion Foundation. Method: The correlation coefficients were calculated by correlation analyses between the obesity indices and four fitness tests for comparison. The lump mean values (LMVs) were introduced to find the association between the WHT2R and fitness tests using a linear regression method and to use as an indicator for the effective control of obesity. Result: The WHT2R is more associated with the fitness than the other indices and the correlation with fitness tests was interpreted more simply using the LMV of the WHT2R rather than that of the body mass index. Setting the goal of exercise using the WHT2R was easier and more convenient than using the body mass index. Conclusion: The WHT2R can be used as a possible contender for predicting fitness and is an effective indicator for the reduction of abdominal obesity.},
 year = {2021}
}

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TY  - JOUR
T1  - New Obesity Index Associated with Fitness Among Korean Adults
AU  - Nam Lyong Kang
Y1  - 2021/01/15
PY  - 2021
N1  - https://doi.org/10.11648/j.ijcems.20210701.12
DO  - 10.11648/j.ijcems.20210701.12
T2  - International Journal of Clinical and Experimental Medical Sciences
JF  - International Journal of Clinical and Experimental Medical Sciences
JO  - International Journal of Clinical and Experimental Medical Sciences
SP  - 5
EP  - 12
PB  - Science Publishing Group
SN  - 2469-8032
UR  - https://doi.org/10.11648/j.ijcems.20210701.12
AB  - Background: The aim of this paper was to introduce a new obesity index associated with fitness and determine effective exercises for reducing the obesity in common Korean adults using a new kind of waist-to-height ratio (WHT2R). Objectives: This cross-sectional study was performed using the public-use releases of the 2017 survey of national physical fitness by the Korea Institute of Sport Science of the Korea Sports Promotion Foundation. Method: The correlation coefficients were calculated by correlation analyses between the obesity indices and four fitness tests for comparison. The lump mean values (LMVs) were introduced to find the association between the WHT2R and fitness tests using a linear regression method and to use as an indicator for the effective control of obesity. Result: The WHT2R is more associated with the fitness than the other indices and the correlation with fitness tests was interpreted more simply using the LMV of the WHT2R rather than that of the body mass index. Setting the goal of exercise using the WHT2R was easier and more convenient than using the body mass index. Conclusion: The WHT2R can be used as a possible contender for predicting fitness and is an effective indicator for the reduction of abdominal obesity.
VL  - 7
IS  - 1
ER  -

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Author Information

Nam Lyong Kang

Department of Nanomechatronics Engineering, Pusan National University, Miryang, Republic of Korea

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APA Style

Nam Lyong Kang. (2021). New Obesity Index Associated with Fitness Among Korean Adults. International Journal of Clinical and Experimental Medical Sciences, 7(1), 5-12. https://doi.org/10.11648/j.ijcems.20210701.12

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ACS Style

Nam Lyong Kang. New Obesity Index Associated with Fitness Among Korean Adults. Int. J. Clin. Exp. Med. Sci. 2021, 7(1), 5-12. doi: 10.11648/j.ijcems.20210701.12

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AMA Style

Nam Lyong Kang. New Obesity Index Associated with Fitness Among Korean Adults. Int J Clin Exp Med Sci. 2021;7(1):5-12. doi: 10.11648/j.ijcems.20210701.12

Copy | Download

@article{10.11648/j.ijcems.20210701.12,
  author = {Nam Lyong Kang},
  title = {New Obesity Index Associated with Fitness Among Korean Adults},
  journal = {International Journal of Clinical and Experimental Medical Sciences},
  volume = {7},
  number = {1},
  pages = {5-12},
  doi = {10.11648/j.ijcems.20210701.12},
  url = {https://doi.org/10.11648/j.ijcems.20210701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijcems.20210701.12},
  abstract = {Background: The aim of this paper was to introduce a new obesity index associated with fitness and determine effective exercises for reducing the obesity in common Korean adults using a new kind of waist-to-height ratio (WHT2R). Objectives: This cross-sectional study was performed using the public-use releases of the 2017 survey of national physical fitness by the Korea Institute of Sport Science of the Korea Sports Promotion Foundation. Method: The correlation coefficients were calculated by correlation analyses between the obesity indices and four fitness tests for comparison. The lump mean values (LMVs) were introduced to find the association between the WHT2R and fitness tests using a linear regression method and to use as an indicator for the effective control of obesity. Result: The WHT2R is more associated with the fitness than the other indices and the correlation with fitness tests was interpreted more simply using the LMV of the WHT2R rather than that of the body mass index. Setting the goal of exercise using the WHT2R was easier and more convenient than using the body mass index. Conclusion: The WHT2R can be used as a possible contender for predicting fitness and is an effective indicator for the reduction of abdominal obesity.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - New Obesity Index Associated with Fitness Among Korean Adults
AU  - Nam Lyong Kang
Y1  - 2021/01/15
PY  - 2021
N1  - https://doi.org/10.11648/j.ijcems.20210701.12
DO  - 10.11648/j.ijcems.20210701.12
T2  - International Journal of Clinical and Experimental Medical Sciences
JF  - International Journal of Clinical and Experimental Medical Sciences
JO  - International Journal of Clinical and Experimental Medical Sciences
SP  - 5
EP  - 12
PB  - Science Publishing Group
SN  - 2469-8032
UR  - https://doi.org/10.11648/j.ijcems.20210701.12
AB  - Background: The aim of this paper was to introduce a new obesity index associated with fitness and determine effective exercises for reducing the obesity in common Korean adults using a new kind of waist-to-height ratio (WHT2R). Objectives: This cross-sectional study was performed using the public-use releases of the 2017 survey of national physical fitness by the Korea Institute of Sport Science of the Korea Sports Promotion Foundation. Method: The correlation coefficients were calculated by correlation analyses between the obesity indices and four fitness tests for comparison. The lump mean values (LMVs) were introduced to find the association between the WHT2R and fitness tests using a linear regression method and to use as an indicator for the effective control of obesity. Result: The WHT2R is more associated with the fitness than the other indices and the correlation with fitness tests was interpreted more simply using the LMV of the WHT2R rather than that of the body mass index. Setting the goal of exercise using the WHT2R was easier and more convenient than using the body mass index. Conclusion: The WHT2R can be used as a possible contender for predicting fitness and is an effective indicator for the reduction of abdominal obesity.
VL  - 7
IS  - 1
ER  -

Copy | Download