Multidimensional Analysis of Differences in Pulmonary Function Indexes among Grassroots Hospitals in Corps—Combining Population Characteristics and Quality Control Results

Corresponding author: Huang Yurong, 18999190129@qq.com

DOI: 10.12201/bmr.202601.00061

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  Abstract: 【Abstract】Objective Investigate the characteristics of pulmonary function indicators among different levels of medical institutions (division-affiliated hospitals, regimental branch hospitals) and regions (Hami, Northern Xinjiang) in the grassroots units, analyze the quality control status and demographic factors: the impact of body mass index (BMI), age, and gender on pulmonary function, to provide a basis for early screening and quality control management of respiratory diseases at the grassroots level.Methods A total of 23 primary healthcare institutions in the Corps were selected to collect core pulmonary function indicators, quality control results of pulmonary function tests, as well as demographic data such as BMI, age, and gender from 5,596 subjects. Methods including independent samples t-test, Pearson correlation analysis, and multivariate analysis of variance were employed to compare pulmonary function differences among groups, analyze the correlation of indicators, and explore the sources and mechanisms of these differences in conjunction with literature.Results ① Between-group differences: The abnormal rate of small airway indicators in the regimental branch hospitals (25% Pred: 73.7%,50% Pred: 55.1%,75% Pred: 53.4%) was significantly higher than that in the division-affiliated hospitals (P<0.001). The ventilation function (FEV?, FEV?/FVC) in the Northern Xinjiang region was superior to that in the Hami region, while the Hami region exhibited higher lung volume (FVC) (P<0.001). ② Indicator associations: Lung volume-related indicators (FVC and VC) and ventilation dynamic indicators (PEF and MEP) showed a strong positive correlation (r>0.95), whereas the association between FEV?/FVC and lung volume indicators was weak (r≈0). ③ Influencing factors: Age was significantly negatively correlated with FEV? (β=-0.109, P<0.001), and BMI had no significant independent effect on lung function. The mean values of FVC, FEV?, and other indicators in the non-compliant quality control group were significantly higher than those in the compliant group (P<0.001).Conclusion There are significant differences in pulmonary function indicators and small airway abnormalities among different levels and regions within the grassroots units of the regiment. Quality control status and age are key influencing factors for pulmonary function. Grassroots units need to strengthen the quality control management of pulmonary function for regimental farms and special populations, and develop stratified screening strategies based on regional and age characteristics to improve the efficiency of early prevention and control of respiratory diseases.

  Key words: Grassroots medical institutions of the corps; pulmonary function; quality control; small airway function; population stratification

  Submit time: 20 January 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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