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| Pulmonary ventilation function among the high-risk population for chronic obstructive pulmonary disease in Baoshan District |
| WU Jing1, WAN Jinbao1, WU Cui1, LIU Fanghua1, CHEN Qiuyan1, DING Chenghui1, WU Han2
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1. Baoshan District Center for Disease Control and Prevention (Baoshan District Institute of Public Health Supervision), Shanghai 201901, China;
2. Shanghai Center for Disease Control and Prevention, Shanghai 201107, China |
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Abstract Objective To investigate the current status of pulmonary ventilation function and its influencing factors among the population aged ≥35 years at high risk for chronic obstructive pulmonary disease (COPD) in Baoshan District, Shanghai Municipality, so as to provide the evidence for formulating regional COPD prevention and control strategies. Methods From January 2023 to July 2025, a convenience sampling method was used to recruit COPD high-risk individuals among permanent residents aged ≥35 years in Baoshan District. Demographic information including gender and age was collected through the Shanghai New Chronic Disease Integrated Information System. Height, weight, and waist circumference were measured. Pulmonary ventilation function was assessed by measuring forced expiratory volume in one second (FEV1), forced vital capacity (FVC), peak expiratory flow (PEF), peak inspiratory flow (PIF), and instantaneous forced expiratory flow at 50% of FVC (FEF50). Multivariable logistic regression model was used to analyze influencing factors for pulmonary ventilation function abnormalities among COPD high-risk population. Results A total of 5 763 COPD high-risk individuals were surveyed, including 2 970 males (51.54%) and 2 793 females (48.46%). The values of FEV1, FVC, FEV1/FVC, PEF, PIF, and FEF50 were (2.12±0.68) L, (2.83±0.85) L, (75.33±12.77)%, (4.58±1.93) L/s, (2.62±1.23) L/s, and (2.54±1.26) L/s, respectively. A total of 1 399 individuals (24.28%) were identified with pulmonary ventilation function abnormalities. Multivariable logistic regression analysis showed that female (OR=0.612, 95%CI: 0.526-0.713), junior college or above (OR=0.705, 95%CI: 0.516-0.962), urban residence (OR=0.477, 95%CI: 0.401-0.568), regular physical activity (OR=0.655, 95%CI: 0.575-0.745), and higher body mass index (OR=0.946, 95%CI: 0.926-0.967) were associated with a lower risk of pulmonary ventilation function abnormalities among COPD high-risk individuals. Conversely, current smoking (OR=1.356, 95%CI: 1.075-1.709), exposure to secondhand smoke (OR=1.493, 95%CI: 1.259-1.770), and exposure to famine during adolescence (OR=1.958, 95%CI: 1.046-3.665) were associated with a higher risk. Conclusion The overall status of pulmonary ventilation function among COPD high-risk population in Baoshan District is moderate, with a relatively high abnormality rate, which is mainly influenced by gender, educational level, region, regular physical activity, body mass index, tobacco exposure, and famine exposure.
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Received: 18 November 2025
Revised: 25 February 2026
Published: 21 April 2026
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[1] CAI M Q,CUI M L,NONG Y,et al.A longitudinal study of trajectories and factors influencing patient-reported outcomes in chronic obstructive pulmonary disease[J].Int J Chron Obstruct Pulmon Dis,2022,17:2945-2956.
[2] LEI J P,HUANG K,WU S N,et al.Heterogeneities and impact profiles of early chronic obstructive pulmonary disease status:findings from the China Pulmonary Health Study[J/OL].Lancet Reg Health West Pac,2024,45[2026-02-25].http://doi.org/10.1016/j.lanwpc.2024.101021.
[3] 中国疾病预防控制中心慢性非传染性疾病预防控制中心,国家卫生和计划生育委员会统计信息中心.中国死因监测数据集2016[M].北京:中国科学技术出版社,2017.
[4] 季鹏,沈先标,袁震,等.2015—2019年上海市某区大气污染物与医院门诊量的时间序列分析[J].上海预防医学,2023,35(10):970-975.
[5] 陈婷,倪骋,蔡忠元,等.2021年上海市宝山区公共场所控烟环境监测结果分析[J].中国健康教育,2022,38(8):722-725.
[6] 薛天怡,刘世友,万金豹,等.2010—2019年上海市宝山区居民慢性阻塞性肺疾病死亡情况分析[J].上海预防医学,2022,34(3):256-259.
[7] BRÜNÉS N,LINDSTROEM M B,ULRIK C S,et al.Opportunistic screening for COPD among socially marginalized patients[J/OL].BMC Pulm Med,2024,24(1)[2026-02-25].http://doi.org/10.1186/s12890-024-02927-9.
[8] 高慧,万金豹,朱旭婷,等.生命早期饥荒暴露与成年后心血管代谢性疾病和共病的关联性研究[J].中国慢性病预防与控制,2023,31(2):86-89.
[9] 中国营养学会肥胖防控分会,中国营养学会临床营养分会,中华预防医学会行为健康分会,等.中国居民肥胖防治专家共识[J].中国预防医学杂志,2022,23(5):321-339.
[10] 中华医学会呼吸病学分会肺功能专业组.肺功能检查指南(第二部分)——肺量计检查[J].中华结核和呼吸杂志,2014,37(7):481-486.
[11] 连宁芳,朱蕾,李丽.中国各地区肺功能参数预计值的比较[J].中国呼吸与危重监护杂志,2013,12(5):489-493.
[12] 何虎鹏,徐晓程,陈丽娟,等.甘肃省农村居民吸烟、固体燃料使用与肺功能异常相关性研究[J].环境卫生学杂志,2021,11(5):425-430.
[13] 陈小良,程锦泉,曹勇,等.深圳市40岁以上常住居民肺通气功能减退情况及影响因素分析[J].中国慢性病预防与控制,2017,25(1):21-25.
[14] IVANOVA O,KHOSA C,BAKULI A,et al.Lung function testing and prediction equations in adult population from Maputo,Mozambique[J/OL].Int J Environ Res Public Health,2020,17(12)[2026-02-25].http://doi.org/10.3390/ijerph17124535.
[15] 史卫卫,杨妍鑫,曹亚景,等.河北省≥40岁居民慢性阻塞性肺疾病患病情况及其影响因素分析[J].中国公共卫生,2025,41(2):176-181.
[16] HUA G,CHEN S J,HU Y F,et al.Construction of a novel tool for predicting chronic obstructive pulmonary disease mortality in lung cancer patients[J/OL].Sci Rep,2025,15(1)[2026-02-25].http://doi.org/10.1038/s41598-025-21292-z.
[17] 唐雨萌,刘姗姗,张岚,等.2019—2020年湖北省监测地区慢性阻塞性肺疾病流行现状及影响因素分析[J].中国预防医学杂志,2024,25(8):996-1001.
[18] 嘎玛仓决,李亚杰,白国霞,等.2015年西藏≥40岁居民慢性阻塞性肺疾病流行病学调查[J].中国公共卫生,2019,35(1):104-106.
[19] BLEKER L S,DE ROOIJ S R,PAINTER R C,et al.Cohort profile:the Dutch famine birth cohort (DFBC)- a prospective birth cohort study in the Netherlands[J/OL].BMJ Open,2021,11(3)[2026-02-25].http://doi.org/10.1136/bmjopen-2020-042078.
[20] SINGH D,D'URZO A D,DONOHUE J F,et al.Weighing the evidence for pharmacological treatment interventions in mild COPD;a narrative perspective[J/OL].Respir Res,2019,20(1)[2026-02-25].http://doi.org/10.1186/s12931-019-1108-9.
[21] KIM N Y,KIM D K,PARK S,et al.Risk factors of FEV1/FVC decline in COPD patients[J/OL].J Korean Med Sci,2025,40(6)[2026-02-25].http://doi.org/10.3346/jkms.2025.40.e32. |
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