Research Article
Ethnicity Disparities in the Prevalence, Awareness, Treatment, and Control Rates of Hypertension in China
Table 2
Meta-regression analysis of the Han group to explore potential sources of heterogeneity, prevalence, awareness, treatment, and control.
| Variable | N | Coefficient | Tau2 | Adj. R2(%) | I2 | |
| Prevalence | Block 0 | 14 | 0.2702878 | 0.01206 | | 99.93 | <0.001 | Age (mean) | 12 | 0.0127801 | 0.00726 | 40.96 | 99.90 | 0.015 | BMI (mean) | 11 | 0.0617196 | 0.00876 | 35.16 | 99.89 | 0.032 | Tobacco use (%) | 13 | 0.0003943 | 0.01286 | −9.08 | 99.94 | 0.937 | Alcohol use (%) | 13 | −0.0016196 | 0.01241 | −5.27 | 99.94 | 0.545 | Gender (women%) | 12 | 0.0143087 | 0.00880 | 23.25 | 99.89 | 0.065 | Education (primary %) | 9 | 0.0005281 | 0.01571 | −14.09 | 99.96 | 0.909 | Residence (urban%) | 6 | 0.0014385 | 0.01998 | −23.07 | 99.97 | 0.814 | Study year | 14 | | 0.01178 | 2.31 | 99.94 | | <2010 (ref) | 9 | 0.0693379 | | | | 0.275 | ≥2010 | 5 | | | | | |
| Awareness | Block 0 | 13 | 0.4096955 | 0.02899 | | 99.73 | <0.001 | Age (mean) | 11 | 0.0048229 | 0.03635 | −7.20 | 99.78 | 0.572 | BMI (mean) | 11 | 0.1053923 | 0.01553 | 54.21 | 99.75 | 0.006 | Tobacco use (%) | 12 | −0.0157154 | 0.02349 | 23.61 | 98.68 | 0.065 | Alcohol use (%) | 12 | −0.0119039 | 0.01020 | 66.83 | 99.63 | 0.001 | Gender (women %) | 11 | −0.0092420 | 0.03079 | −5.51 | 99.79 | 0.501 | Education (primary %) | 9 | 0.0071913 | 0.01629 | −4.04 | 99.78 | 0.418 | Residence (urban %) | 6 | −0.0048421 | 0.00487 | 19.24 | 98.83 | 0.222 | Study year | 13 | | 0.01328 | 54.20 | 99.58 | | <2010 | 8 | −0.2562017 | | | | 0.003 | ≥2010 (ref) | 5 | | | | | |
| Treatment | Block 0 | 14 | 0.3145307 | 0.02357 | | 99.71 | <0.001 | Age (mean) | 12 | 0.0053511 | 0.02558 | −3.53 | 99.76 | 0.445 | BMI (mean) | 11 | 0.0902302 | 0.01404 | 48.44 | 99.75 | 0.011 | Tobacco use (%) | 13 | −0.0116078 | 0.01952 | 13.93 | 99.21 | 0.117 | Alcohol use (%) | 13 | −0.0091629 | 0.01062 | 53.19 | 99.61 | 0.003 | Gender (women %) | 12 | −0.0065091 | 0.02323 | −6.64 | 99.76 | 0.576 | Education (primary %) | 10 | 0.0012871 | 0.01655 | −11.78 | 99.76 | 0.785 | Residence (urban %) | 7 | −0.0029320 | 0.00320 | 10.91 | 98.87 | 0.262 | Study year | 14 | | 0.01410 | 40.19 | 99.55 | | <2010 | 8 | −0.2010464 | | | | 0.009 | ≥2010 (ref) | 6 | | | | | |
| Control | Block 0 | 14 | 0.1274783 | 0.00518 | | 99.91 | <0.001 | Age (mean) | 12 | 0.0016195 | 0.00547 | −7.16 | 99.93 | 0.618 | BMI (mean) | 11 | 0.0285270 | 0.00440 | 17.78 | 99.87 | 0.106 | Tobacco use (%) | 13 | −0.0066053 | 0.00343 | 26.99 | 99.18 | 0.041 | Alcohol use (%) | 13 | −0.0024945 | 0.00413 | 12.04 | 99.86 | 0.132 | Gender (women %) | 12 | −0.0026796 | 0.00538 | −7.47 | 99.90 | 0.634 | Education (primary %) | 10 | 0.0000799 | 0.00740 | −12.56 | 99.93 | 0.980 | Residence (urban %) | 7 | −0.0018121 | 0.00193 | 2.33 | 98.12 | 0.359 | Study year | 14 | | 0.00443 | 14.41 | 99.65 | | <2010 | 8 | −0.0654570 | | | | 0.098 | ≥2010 (ref) | 6 | | | | | |
|
|