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MeSH:(Spirometry/*statistics )

1.Predictive equations of lung function for adults in north China urban areas.

Chunyan KANG ; Changting LIU ; Ting LI ; Ying ZHANG ; Hongxia LI ; Qinghui LIU ; Yansong ZHENG

Journal of Southern Medical University 2013;33(11):1590-1595

2.Feasibility and predicted equations of spirometry in Shenzhen preschool children.

Qing-ling ZHANG ; Jin-ping ZHENG ; Ben-tong YUAN ; Hua HE ; Jian WANG ; Jia-ying AN ; Min ZHANG ; Ding-fen LUO ; Gui-lian CHEN

Chinese Journal of Pediatrics 2005;43(11):843-848

3.Association of Time to First Morning Cigarette and Chronic Obstructive Pulmonary Disease Measured by Spirometry in Current Smokers.

Geonhyeok KIM ; Hongji SONG ; Kyunghee PARK ; Hyemi NOH ; Eunyoung LEE ; Hyoeun LEE ; Hayoon KIM ; Yujin PAEK

Korean Journal of Family Medicine 2018;39(2):67-73

4.Importance for surveillance on chronic obstructive pulmonary disease among Chinese adults.

L W FANG ; L H WANG

Chinese Journal of Epidemiology 2018;39(5):541-545

5.Prevalence of Spirometrically-defined Restrictive Ventilatory Defect in Korea: The Fourth-2, 3, and Fifth Korean National Health and Nutrition Examination Survey, 2008-2012.

Jung Yeon LEE ; Yong Il HWANG ; Yong Bum PARK ; Jae Yong PARK ; Ki Uk KIM ; Yeon Mok OH ; Hyoung Kyu YOON ; Ho Il YOON ; Sueng Su SHEEN ; Sang Yeub LEE ; Chang Hoon LEE ; Heung Bum LEE ; Sung Chul LIM ; Sung Soo JUNG ; Kyungwon OH ; Yuna KIM ; Chaemin CHUN ; Kwang Ha YOO

Journal of Korean Medical Science 2015;30(6):725-732

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