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Application of Anderson model to analyze the influencing factors of lung function test behavior in middle-aged and elderly people in China
- Source :
- Dialogues in Health, Vol 2, Iss , Pp 100138- (2023)
- Publication Year :
- 2023
- Publisher :
- Elsevier, 2023.
-
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, 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
Details
- Language :
- English
- ISSN :
- 27726533
- Volume :
- 2
- Issue :
- 100138-
- Database :
- Directory of Open Access Journals
- Journal :
- Dialogues in Health
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f5bc4d949184fb7bb9fd274198c1a9c
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.dialog.2023.100138