DOI QR코드

DOI QR Code

The Effect of Body Composition on Pulmonary Function

  • Park, Jung-Eun (Department of Internal Medicine, Regional Center for Respiratory Disease, Yeungnam University Medical Center, Yeungnam University College of Medicine) ;
  • Chung, Jin-Hong (Department of Internal Medicine, Regional Center for Respiratory Disease, Yeungnam University Medical Center, Yeungnam University College of Medicine) ;
  • Lee, Kwan-Ho (Department of Internal Medicine, Regional Center for Respiratory Disease, Yeungnam University Medical Center, Yeungnam University College of Medicine) ;
  • Shin, Kyeong-Cheol (Department of Internal Medicine, Regional Center for Respiratory Disease, Yeungnam University Medical Center, Yeungnam University College of Medicine)
  • 투고 : 2012.01.10
  • 심사 : 2012.03.29
  • 발행 : 2012.05.30

초록

Background: The pulmonary function test is the most basic test method to diagnosis lung disease. The purpose of this study was to research the correlation of the body mass index (BMI), the fat percentage of the body mass (fat%), the muscle mass, the fat-free mass (FFM) and the fat-free mass index (FFMI), waist-hip ratio (WHR), on the forced expiratory volume curve. Methods: Between March and April 2009, a total of 291 subjects were enrolled. There were 152 men and 139 female (mean age, $46.3{\pm}9.92$ years), and they were measured for the following: forced vital capacity (FVC), forced expiratory volume at 1 second ($FEV_1$), and forced expiratory flow during the middle half of the FVC ($FEF_{25-75}$) from the forced expiratory volume curve by the spirometry, and the body composition by the bioelectrical impedance method. Correlation and a multiple linear regression, between the body composition and pulmonary function, were used. Results: BMI and fat% had no correlation with FVC, $FEV_1$ in male, but FFMI showed a positive correlation. In contrast, BMI and fat% had correlation with FVC, $FEV_1$ in female, but FFMI showed no correlation. Both male and female, FVC and $FEV_1$ had a negative correlation with WHR (male, FVC r=-0.327, $FEV_1$ r=-0.36; p<0.05; female, FVC r=-0.175, $FEV_1$ r=-0.213; p<0.05). In a multiple linear regression of considering the body composition of the total group, FVC explained FFM, BMI, and FFMI in order ($r^2$=0.579, 0.657, 0.663). $FEV_1$ was explained only fat% ($r^2$=0.011), and $FEF_{25-75}$ was explained muscle mass, FFMI, FFM ($r^2$=0.126, 0.138, 0.148). Conclusion: The BMI, fat%, muscle mass, FFM, FFMI, WHR have significant association with pulmonary function but $r^2$ (adjusted coefficient of determination) were not high enough for explaining lung function.

키워드

참고문헌

  1. Miller A. Lung function testing: selection of reference values and interpretative strategies. Am Rev Respir Dis 1992;146(5 Pt 1):1368-9.
  2. Kim SR, Choi US, Choi JH, Koh HJ. Association of body fat and body mass index with pulmonary function in women in their forties. J Korean Acad Fam Med 2003;24:827-32.
  3. Park JY, Pack JH, Park HJ, Bae SW, Shin KC, Chung JH, et al. The effect of body mass index, fat percentage, and fat-free mass index on pulmonary function test: with particular reference to parameters derived from forced expiratory volume curve. Tuberc Respir Dis 2003;54:210-8. https://doi.org/10.4046/trd.2003.54.2.210
  4. Maiolo C, Mohamed EI, Carbonelli MG. Body composition and respiratory function. Acta Diabetol 2003;40 Suppl 1:S32-8.
  5. Wannamethee SG, Shaper AG, Whincup PH. Body fat distribution, body composition, and respiratory function in elderly men. Am J Clin Nutr 2005;82:996-1003. https://doi.org/10.1093/ajcn/82.5.996
  6. Chen Y, Horne SL, Dosman JA. Body weight and weight gain related to pulmonary function decline in adults: a six year follow up study. Thorax 1993;48: 375-80. https://doi.org/10.1136/thx.48.4.375
  7. Amara CE, Koval JJ, Paterson DH, Cunningham DA. Lung function in older humans: the contribution of body composition, physical activity and smoking. Ann Hum Biol 2001;28:522-36. https://doi.org/10.1080/03014460010029758
  8. Burchfiel CM, Enright PL, Sharp DS, Chyou PH, Rodriguez BL, Curb JD. Factors associated with variations in pulmonary function among elderly Japanese- American men. Chest 1997;112:87-97. https://doi.org/10.1378/chest.112.1.87
  9. Chen Y, Rennie D, Cormier YF, Dosman J. Waist circumference is associated with pulmonary function in normal-weight, overweight, and obese subjects. Am J Clin Nutr 2007;85:35-9. https://doi.org/10.1093/ajcn/85.1.35
  10. Mengesha YA, Mekonnen Y. Spirometric lung function tests in normal non-smoking Ethiopian men and women. Thorax 1985;40:465-8. https://doi.org/10.1136/thx.40.6.465
  11. Cotes JE, Chinn DJ, Reed JW. Body mass, fat percentage, and fat free mass as reference variables for lung function: effects on terms for age and sex. Thorax 2001;56:839-44. https://doi.org/10.1136/thorax.56.11.839
  12. Santana H, Zoico E, Turcato E, Tosoni P, Bissoli L, Olivieri M, et al. Relation between body composition, fat distribution, and lung function in elderly men. Am J Clin Nutr 2001;73:827-31. https://doi.org/10.1093/ajcn/73.4.827
  13. Harik-Khan RI, Wise RA, Fleg JL. The effect of gender on the relationship between body fat distribution and lung function. J Clin Epidemiol 2001;54:399-406. https://doi.org/10.1016/S0895-4356(00)00318-8
  14. Ochs-Balcom HM, Grant BJ, Muti P, Sempos CT, Freudenheim JL, Trevisan M, et al. Pulmonary function and abdominal adiposity in the general population. Chest 2006;129:853-62. https://doi.org/10.1378/chest.129.4.853

피인용 문헌

  1. Obesity and Asthma: Physiological Perspective vol.2013, pp.None, 2012, https://doi.org/10.1155/2013/198068
  2. BMI and an Anthropometry-Based Estimate of Fat Mass Percentage Are Both Valid Discriminators of Cardiometabolic Risk: A Comparison with DXA and Bioimpedance vol.2013, pp.None, 2013, https://doi.org/10.1155/2013/862514
  3. Determinants of Sensorimotor Function and Blood Glucose Among Chinese People Aged 50-74 Years vol.8, pp.2, 2014, https://doi.org/10.1016/j.ijge.2013.05.004
  4. Relationship between Body Composition and Pulmonary Function in Early Adult Life: A Cross-Sectional Analysis Nested in Two Birth Cohort Studies vol.11, pp.9, 2012, https://doi.org/10.1371/journal.pone.0163428
  5. The training type influence on male elite athletes’ ventilatory function vol.3, pp.1, 2017, https://doi.org/10.1136/bmjsem-2017-000240
  6. Relationship between body fat percentage and forced vital capacity in adults with normal body mass index vol.1073, pp.None, 2012, https://doi.org/10.1088/1742-6596/1073/4/042031
  7. Effects of fat distribution on lung function in young adults vol.38, pp.1, 2012, https://doi.org/10.1186/s40101-019-0198-x
  8. The effect of changes in total body fat amount and abdominal fat ratio on lung function decline in healthy adults vol.9, pp.3, 2021, https://doi.org/10.4168/aard.2021.9.3.171
  9. Association Between Body Composition and Pulmonary Function Tests Among Health Care Workers in Iran vol.17, pp.None, 2021, https://doi.org/10.2174/1573398x17666210311143728
  10. 25-Hydroxy vitamin D and body composition are associated with pulmonary function in non-cystic fibrosis bronchiectasis: A cross-sectional study vol.46, pp.None, 2021, https://doi.org/10.1016/j.clnesp.2021.08.009