Table 4.
Binary logistic regression analysis for BP control associated with community-based BP monitoring service utilisation (Model 2), China Health and Retirement Longitudinal Study 2015
| Variable | Category | % | β | P | OR | 95% CI | |
|---|---|---|---|---|---|---|---|
| Upper | Lower | ||||||
| BP monitoring | 0.020* | ||||||
| No(ref) | 67.89 | 1 | 1 | ||||
| Yes | 32.11 | 0.220 | 1.246 | 1.035 | 1.499 | ||
| Education | 0.029* | ||||||
| Uneducated(ref) | 27.92 | 1 | 1 | ||||
| Primary school | 38.96 | 0.334 | 1.397 | 1.085 | 1.800 | ||
| Middle school | 20.52 | 0.452 | 1.571 | 1.145 | 2.157 | ||
| High school and above | 12.60 | 0.363 | 1.438 | 0.969 | 2.133 | ||
| Gender | 0.034** | ||||||
| Male(ref) | 42.78 | 1 | 1 | ||||
| Female | 57.22 | 0.251 | 1.285 | 1.019 | 1.620 | ||
OR = Odds Ratio. 95% CI = 95% Confidence interval for odds ratio
Adjusted for age, gender, educational attainment, household income, cohabitation status, residential region, working status, insurance status, BMI, and chronic diseases diagnosis. Wald F = 1.916, P < 0.01
*P < 0.05, **P < 0.01