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CN 34-1304/RISSN 1674-3679

Volume 20 Issue 2
Feb.  2016
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LIN Jian-wei, LI Chun-ling, CUI Xu-chu, JIN Gui-cai, PANG Zeng-chang. Analysis on pulmonary ventilation function and its influencing factors in the elderly population[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2016, 20(2): 173-176. doi: 10.16462/j.cnki.zhjbkz.2016.02.017
Citation: LIN Jian-wei, LI Chun-ling, CUI Xu-chu, JIN Gui-cai, PANG Zeng-chang. Analysis on pulmonary ventilation function and its influencing factors in the elderly population[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2016, 20(2): 173-176. doi: 10.16462/j.cnki.zhjbkz.2016.02.017

Analysis on pulmonary ventilation function and its influencing factors in the elderly population

doi: 10.16462/j.cnki.zhjbkz.2016.02.017
  • Received Date: 2015-10-14
  • Rev Recd Date: 2015-12-15
  • Objective To investigate the effect of socio-demographic and blood biochemical indicators on forced expiratory volumne in1second (FEV1) and the largest force vital capacity(FVC) of 50-74 year-old residents in Qingdao. Methods 2 476 Qingdao rural and urban residents who aged 50-74 years were sampled through stratified cluster sampling method in 2009. Homemade scale was adopted to interview the elderly, meanwhile, FEV1, FVC and blood biochemical indicators were measured. Multiple linear regression analysis was used to investigate the effect of age, gender, income, education, body mass index, glycosylated hemoglobin (HbA1C), blood lipids (TC/HDL-C) and uric acid (UA) on pulmonary ventilation function. Results Males were better than females in FEV1 and FVC. With increasing age, FEV1 and FVC were both declined, and the descend was larger in 65-69 group. With increasing education(β=0.433,P=0.042) and BMI(β=0.776,P<0.001), FEV1 showed a rising trend. With increasing HbA1c, FEV1 (β=-0.254,P<0.001)and FVC(β=-0.298,P=0.046) were decreased, while with increasing TC/HDL-C, FEV1 and FVC showed a rising trend. There were no significant correlation between UA with FEV1 and FVC. Conclusions The decrease of FEV1 and FVC are the result of interactions of multiple factors, age and HbA1c are risk factors, while income, education, BMI and blood lipids are protective factors.
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