Application of Anderson model to analyze the influencing factors of lung function test behavior in middle-aged and elderly people in China.

Abstract

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. 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. 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, P=0.018; college and above OR=4.566, P=0.002), mode of health care affordability (relative to those who paid for the test, non-payers OR=2.205, P=0.004), dimensions of the European Five Dimensional Health Scale (mobility OR=4.571, P=0.006; pain or discomfort OR=0.397, P=0.003; anxiety or depression OR=0.511, P=0.028), and self-efficacy (medium group 0R=0.294, P<0.001; low group OR=0.162, P=0.003) had a significant impact on lung function testing behavior in our middle-aged and older adults. 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.