ArticleDialogues in health2023
Application of Anderson model to analyze the influencing factors of lung function test behavior in middle-aged and elderly people in China.
Article in Dialogues in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Public distrust in physicians and healthcare utilization: a nationwide study in China.BMC health services research · 2026Article
- Comparative Performance of 3 Analytical Models in Identifying Associated Factors of Pulmonary Dysfunction-Depression Comorbidity: China Health and Retirement Longitudinal Study-Based Nationwide Cross-Sectional Study.JMIR medical informatics · 2026Article
- Acceptance of advance care planning among older adults in Mainland China: a national cross-sectional study.BMC public health · 2025Article
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Authors and funding
7 authors at 5 institutions in 2 countries.
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Abstract
Introduction: Lung function tests are valuable in assessing respiratory health and disease, and the Healthy China Initiative clearly states that people over 40 years of age should have a lung function test once a year. To explore the influence of propensity factors, ability factors, and need factors on lung function detection behaviors of middle-aged and elderly Chinese, the following studies are conducted. Method: A questionnaire was designed using Anderson's model, and multi-stage sampling was used to conduct a nationwide questionnaire survey based on geographical subdivisions and population distribution. Frequency and percentages were used for descriptive statistical analysis of lung function testing among middle-aged and elderly people in China, and chi-square tests and binary logistic regression analyses were used to investigate the factors influencing lung function testing behavior among middle-aged and elderly people in China. Result: A total of 404 study participants were included in this study. Education level (relative to primary school and below, middle school and high school and secondary school OR = 2.652, Conclusion: This study found that there is still room for improvement in the participation of middle-aged and elderly people in lung function testing. Among the propensity factors, the factor that affects the rate of lung function tests is the highest degree of education, which determines the degree of patients' attention to lung function tests. Among the need factors, the factors affecting the rate of lung function detection are the physical conditions of middle-aged and elderly people, and those with poor physical conditions need medical detection. Among the ability factors, the factor that affects the rate of lung function tests is the way of bearing medical expenses, and economic status is the key factor that determines whether patients can accept lung function tests.
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