Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China
Background. Accurate interpretation of lung function tests requires appropriate spirometry reference values derived from large-scale population-specific epidemiological surveys. The aim of this cross-sectional study was to establish normal spirometric values for the population of healthy, nonsmoking...
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ftdoajarticles:oai:doaj.org/article:6195a14064ed461fad84e09c10f57179 2024-09-09T19:26:30+00:00 Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China Li Dong Chengshui Chen Qi Yang Yanwen Zheng Xueren Feng Fang Chen Gang Huang Yuanrong Dai Zhijie Pan Huiqing Ge Tian Zhao Guangyue Qin Zhijun Li 2022-01-01T00:00:00Z https://doi.org/10.1155/2022/5500899 https://doaj.org/article/6195a14064ed461fad84e09c10f57179 EN eng Wiley http://dx.doi.org/10.1155/2022/5500899 https://doaj.org/toc/1687-9694 1687-9694 doi:10.1155/2022/5500899 https://doaj.org/article/6195a14064ed461fad84e09c10f57179 Journal of Tropical Medicine, Vol 2022 (2022) Arctic medicine. Tropical medicine RC955-962 article 2022 ftdoajarticles https://doi.org/10.1155/2022/5500899 2024-08-05T17:48:39Z Background. Accurate interpretation of lung function tests requires appropriate spirometry reference values derived from large-scale population-specific epidemiological surveys. The aim of this cross-sectional study was to establish normal spirometric values for the population of healthy, nonsmoking Han Chinese adults residing in Zhejiang province, China. Methods. We measured lung function parameters such as forced expiratory volume in 1 s, forced vital capacity, peak expiratory flow, maximal midexpiratory flow, and diffusion capacity for carbon monoxide and considered age, height, and weight as independent factors that may modify these parameters. The clinical data were divided into the study arm and validation group. The study arms were used to construct predictive equations using stepwise multiple linear regression, and data from the validation group were used to assess the robustness of the equations. Results. The 3866 participants were randomized into a study arm (n = 1,949) and a validation arm (n = 1,917). Lung function parameters had a negative association with age and a positive association with height. Data from the two groups were similar. Predictive equations were constructed from the study arm, and the validation group was used to test the feasibility of the reference equations. Conclusions. The reference values we derived can be used to evaluate lung function in this cohort in both epidemiological studies and clinical practice. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Journal of Tropical Medicine 2022 1 7 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
topic |
Arctic medicine. Tropical medicine RC955-962 |
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Arctic medicine. Tropical medicine RC955-962 Li Dong Chengshui Chen Qi Yang Yanwen Zheng Xueren Feng Fang Chen Gang Huang Yuanrong Dai Zhijie Pan Huiqing Ge Tian Zhao Guangyue Qin Zhijun Li Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 |
description |
Background. Accurate interpretation of lung function tests requires appropriate spirometry reference values derived from large-scale population-specific epidemiological surveys. The aim of this cross-sectional study was to establish normal spirometric values for the population of healthy, nonsmoking Han Chinese adults residing in Zhejiang province, China. Methods. We measured lung function parameters such as forced expiratory volume in 1 s, forced vital capacity, peak expiratory flow, maximal midexpiratory flow, and diffusion capacity for carbon monoxide and considered age, height, and weight as independent factors that may modify these parameters. The clinical data were divided into the study arm and validation group. The study arms were used to construct predictive equations using stepwise multiple linear regression, and data from the validation group were used to assess the robustness of the equations. Results. The 3866 participants were randomized into a study arm (n = 1,949) and a validation arm (n = 1,917). Lung function parameters had a negative association with age and a positive association with height. Data from the two groups were similar. Predictive equations were constructed from the study arm, and the validation group was used to test the feasibility of the reference equations. Conclusions. The reference values we derived can be used to evaluate lung function in this cohort in both epidemiological studies and clinical practice. |
format |
Article in Journal/Newspaper |
author |
Li Dong Chengshui Chen Qi Yang Yanwen Zheng Xueren Feng Fang Chen Gang Huang Yuanrong Dai Zhijie Pan Huiqing Ge Tian Zhao Guangyue Qin Zhijun Li |
author_facet |
Li Dong Chengshui Chen Qi Yang Yanwen Zheng Xueren Feng Fang Chen Gang Huang Yuanrong Dai Zhijie Pan Huiqing Ge Tian Zhao Guangyue Qin Zhijun Li |
author_sort |
Li Dong |
title |
Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China |
title_short |
Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China |
title_full |
Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China |
title_fullStr |
Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China |
title_full_unstemmed |
Predictive Equations for Adult Pulmonary Function in Zhejiang Province, China |
title_sort |
predictive equations for adult pulmonary function in zhejiang province, china |
publisher |
Wiley |
publishDate |
2022 |
url |
https://doi.org/10.1155/2022/5500899 https://doaj.org/article/6195a14064ed461fad84e09c10f57179 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Journal of Tropical Medicine, Vol 2022 (2022) |
op_relation |
http://dx.doi.org/10.1155/2022/5500899 https://doaj.org/toc/1687-9694 1687-9694 doi:10.1155/2022/5500899 https://doaj.org/article/6195a14064ed461fad84e09c10f57179 |
op_doi |
https://doi.org/10.1155/2022/5500899 |
container_title |
Journal of Tropical Medicine |
container_volume |
2022 |
container_start_page |
1 |
op_container_end_page |
7 |
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1809896099611148288 |