Pulmonary dysfunction and risk factors in residents of a rural community
10.3760/cma.issn1008-6706.2022.03.012
- VernacularTitle:乡镇社区常住居民肺功能改变及其相关因素研究
- Author:
Jie LIU
1
;
Peihai ZHANG
;
Yangyang XU
;
Xinjuan YU
;
Weiqin WANG
;
Wei HAN
Author Information
1. 青岛大学附属青岛市市立医院东院呼吸与危重症医学科，青岛 266071
- Keywords:
Respiratory function tests;
Hospitals,community;
Risk factors;
Age factors;
Body weight;
Smoking;
Pulmonary disease,chronic obstructive;
Factor analysis,stat
- From:
Chinese Journal of Primary Medicine and Pharmacy
2022;29(3):373-377
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To observe the changes of pulmonary function and its influential factors in residents of a rural community and investigate the prevention and control measures.Methods:A survey was made in residents from a rural community in Qingdao who received public health services from September 2017 to December 2019. The demographic data, behavioral and medical history information were collected. Forced vital capacity and forced expiratory volume in one second were measured. The factors that affect lung function were analyzed using univariate analysis and multivariate analysis.Results:This survey involved 5184 residents consisting of 2199 (42.4%) males and 2985 (57.6%) females. 1322 (25.5%) residents had pulmonary dysfunction. Univariate analysis showed that residents aged ≥ 60 years had a higher risk for developing pulmonary dysfunction than residents aged < 60 years (26.1% vs. 14.3%, χ2 = 19.34, P < 0.001), and male residents had a higher risk for developing pulmonary dysfunction than female residents (32.9% vs. 20.0%, χ2 = 110.74, P < 0.001). With the increase in body mass, the incidence of pulmonary dysfunction gradually decreased. The proportion of residents with pulmonary dysfunction with low body mass was higher than that in residents with normal body mass and high body mass (43.4% vs. 27.8% or 22.8%, χ2 = 8.86, 17.63, P = 0.003, < 0.001). The proportion of residents with pulmonary dysfunction was higher in those with a history of chronic bronchitis, bronchial asthma, or obstructive pulmonary disease than in those without such a history (68.3% vs. 23.2%) χ2 = 263.33, P < 0.001). The proportion of residents with pulmonary dysfunction was significantly higher in smokers, whether or not had quit smoking than in non-smokers (35.1%, 36.3% vs. 22.8%, χ2 = 48.83, 86.46, both P < 0.001). The proportion of residents with the normal pulmonary function was not related to the exposure history of dust and chemical poisons and the family history of respiratory diseases ( χ2 = 0.38, 2.29, P = 0.535, 0.130). Multivariate analysis showed that age ≥ 60 years, male sex, low body mass, smoking, and a history of respiratory system diseases were the independent risk factors for pulmonary dysfunction. Among smokers, the number of cigarettes smoked was higher in smokers with pulmonary dysfunction than those with normal pulmonary function ( t = -2.39, P = 0.009). Conclusion:There are many risk factors for pulmonary dysfunction. Primary medical service institutes should carry out pulmonary function testing and formulate targeted prevention strategies, which help realize early detection and treatment of chronic obstructive pulmonary disease.
