Objective To investigate the differences between six parts of China in prediction models of lung function.
Methods The predicted values of 360 healthy volunteers underwent pulmonary function
test in east China were compared with that of north China, northeast China, northwest China, southwest China, south China and Asian American.
Results In the male group, the prediction values of east China were as follows: VC ( 4. 19 ±0. 33) L, coefficient correlation( r) to the other five regions were 0. 803-0. 983,the differences to the other five regions were 1. 90% -4. 30% ; FVC ( 4. 06 ±0. 35) L, r to the others were 0. 912-0. 981, the differences to the other four regions were 0-2. 46% except for south China of 8. 10% , to Asian American ×0. 88 and Asian American ×0. 94 were 1. 97% and 4. 68% ; FEV1 ( 3. 34 ±0. 40) L, r to the others were 0. 963-0. 992, the differences to north China and east China were 0. 9% and 3. 59% , to southwest China and south China were gt;5% , to Asian American ×0. 88 and Asian American×0. 94 were 6. 89% and 0. 6% ; FEV1 /FVC ( 80. 87 ±3. 84) % , r to the others were 0. 989-0. 999, the differences to north China, northeast China and south China were 0. 42% -3. 04% , to the others were gt;5% . In the female group, the prediction values of east China were as follows: VC ( 3. 00 ±0. 33) L, r to the other five regions were 0. 899-0. 993, the differences to the other five regions were 0. 33% -3. 67% ; FVC( 2. 92 ±0. 34) L, r to the other five regions were 0. 929-0. 990, the differences to the other five regions were 1. 02% -2. 40%, to Asian American ×0. 88 and Asian American ×0. 94 were 4. 79% and 6. 16% ; FEV1 ( 2. 38 ±0. 39) L, r to the other five regions were 0. 958-0. 994, the differences to northeast China, southwest China, south China were 0. 84% -3. 36% , to north china was 7. 19% , to Asian American ×0. 88 and Asian American ×0. 94 were 2. 10% and 4. 62% ; FEV1 /FVC ( 82. 04 ±3. 94) % , r to the others were 0. 991-1. 000, the differences to the other four regions were 1. 34% -4. 55% except for southwest China was 7. 59% .
Conclusions VC and FVC predicted values are coincident between six parts of China. FEV1 /FVC predicted values are coincident in the four parts of China except for westnorth and westsouth China. FEV1 predicted values are different. The oversea predicted values should be used with appropriate conversion factors.
Citation:
LIAN Ningfang,ZHU Lei,LI Li. Regional Differences in Prediction Models of Lung Function in China. Chinese Journal of Respiratory and Critical Care Medicine, 2013, 12(5): 489-493. doi: DOI: 10 . 7507 /1671 -6205 . 20130118
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Copyright © the editorial department of Chinese Journal of Respiratory and Critical Care Medicine of West China Medical Publisher. All rights reserved
1. |
穆魁津, 刘世琬. 全国肺功能正常值汇编. 北京: 北京医科大学中国协和医科大学联合出版社, 1990.
|
2. |
郑劲平. 我国肺功能检测应用现状的调查和分析. 中华结核和呼吸杂志, 2002, 25 : 69-73.
|
3. |
赵蓉雅, 朱蕾, 李丽, 等. 1988 年上海地区成人肺功能正常预计值公式的适用性检验. 中华结核和呼吸杂志, 2011, 31: 586 -589.
|
4. |
Standardization of Spirometry, 1994 Update. American Thomcic Society. Am J Respir Crit eare Med, 1995, 152: 1107-1136.
|
5. |
Hankinson JL, Odencratz JR, Fedan KB. Spirometric reference values from a sample of the general US population. Am J Respir Crit Care Med, 1999 , 159: 179-187 .
|
6. |
Hankinson JL, Kawut SM, Shahar E, et al. Performance of American Thoracic Society-recommended spirometry reference values in a multiethnic sample of adults: the multi-ethnic study of atherosclerosis ( MESA) lung study. Chest, 2010, 137 : 138-145.
|
7. |
Pellegrino R, Viegi G, Brusasco V, et al. Interpretative strategies for lung function tests. Eur Respir J, 2005, 26: 948-968.
|
8. |
葛淼, 闫燕春, 王欣, 等. 中年男性用力肺活量正常参考值的地理分布规律. 地理研究, 2009 , 28: 1227-1233.
|
9. |
Wilk JB, Chen TH, Gottlieb DJ, et al. A genome-wide association study of pulmonary function measures in the Framingham Heart Study. PLoS Genet, 2009, 5: e1000429.
|
10. |
Gotschi T, Heinrich J, Sunyer J, et al. Long-term effects of ambient air pollution on lung function: a review. Epidemiology 2008, 19 : 690-701.
|
11. |
Pillai SG, Ge D, Zhu G, et al. A genome-wide association study in chronic obstructive pulmonary disease ( COPD) : identification of two major susceptibility loci. PLoS Genet, 2009, 5: e1000421 .
|
12. |
Schnabel E, Chen CM, Koch B, et al. Regional differences in prediction models of lung function in Germany. Respir Res, 2010 ,11: 40 .
|
- 1. 穆魁津, 刘世琬. 全国肺功能正常值汇编. 北京: 北京医科大学中国协和医科大学联合出版社, 1990.
- 2. 郑劲平. 我国肺功能检测应用现状的调查和分析. 中华结核和呼吸杂志, 2002, 25 : 69-73.
- 3. 赵蓉雅, 朱蕾, 李丽, 等. 1988 年上海地区成人肺功能正常预计值公式的适用性检验. 中华结核和呼吸杂志, 2011, 31: 586 -589.
- 4. Standardization of Spirometry, 1994 Update. American Thomcic Society. Am J Respir Crit eare Med, 1995, 152: 1107-1136.
- 5. Hankinson JL, Odencratz JR, Fedan KB. Spirometric reference values from a sample of the general US population. Am J Respir Crit Care Med, 1999 , 159: 179-187 .
- 6. Hankinson JL, Kawut SM, Shahar E, et al. Performance of American Thoracic Society-recommended spirometry reference values in a multiethnic sample of adults: the multi-ethnic study of atherosclerosis ( MESA) lung study. Chest, 2010, 137 : 138-145.
- 7. Pellegrino R, Viegi G, Brusasco V, et al. Interpretative strategies for lung function tests. Eur Respir J, 2005, 26: 948-968.
- 8. 葛淼, 闫燕春, 王欣, 等. 中年男性用力肺活量正常参考值的地理分布规律. 地理研究, 2009 , 28: 1227-1233.
- 9. Wilk JB, Chen TH, Gottlieb DJ, et al. A genome-wide association study of pulmonary function measures in the Framingham Heart Study. PLoS Genet, 2009, 5: e1000429.
- 10. Gotschi T, Heinrich J, Sunyer J, et al. Long-term effects of ambient air pollution on lung function: a review. Epidemiology 2008, 19 : 690-701.
- 11. Pillai SG, Ge D, Zhu G, et al. A genome-wide association study in chronic obstructive pulmonary disease ( COPD) : identification of two major susceptibility loci. PLoS Genet, 2009, 5: e1000421 .
- 12. Schnabel E, Chen CM, Koch B, et al. Regional differences in prediction models of lung function in Germany. Respir Res, 2010 ,11: 40 .