Table 3.
Non-conditional multivariate logistic regression analysis for the association between socio-demographic and air pollution knowledge levels.
| Variable(s) | β | OR | OR 95%CI * | p-value |
|---|---|---|---|---|
| Respondents’ age (age ≥ 40 control group) | ||||
| 18–29 years | 0.35 | 1.42 | 0.65~3.10 | ＞0.05 |
| 30–39 years | 0.01 | 1.01 | 0.56~1.83 | ＞0.05 |
| Respondents’ Educational Level (≤Junior high school control group) | ||||
| Middle (High School-College) | 0.64 | 1.89 | 1.10~3.25 | ＜0.05 |
| High (≥College) | 0.91 | 2.48 | 1.18~5.17 | ＜0.05 |
| AAHI (RMB) (income ＜ 20,000 control group) | ||||
| 20,000–50,000 | 0.86 | 2.37 | 1.28~4.38 | ＜0.05 |
| 50,000–100,000 | 0.87 | 2.40 | 1.24~4.65 | ＜0.05 |
| ＞100,000 | 0.79 | 2.12 | 1.04~4.64 | ＜0.05 |
| Child’s Health Status (Ill control group） | ||||
| Healthy | 0.21 | 1.23 | 0.50~3.03 | ＞0.05 |
| Fair | 0.81 | 2.26 | 0.86~5.90 | ＞0.05 |
* CI = confidence interval; OR = odds ratio. Note: assigned “the score of knowledge ≥ 5.4” to 1, others to 0; Assigned “age ≥ 40” to 0 (control group), “18–29” = 1, “30–39” = 2; Assigned “parents educational level ≤ Junior high school” to 0(control group), “High school and College” = 1, “≥Undergraduate school” = 2; Assigned “income＜RMB 20,000” to 0(control group), “RMB 20,000–50,000” = 1, “RMB 50,000–100,000” = 2, “＞RMB 100,000” = 3; Assigned “Ill” to 0(control group), “Healthy” = 1, “Fair” = 2.