Research Article
Ethnicity Disparities in the Prevalence, Awareness, Treatment, and Control Rates of Hypertension in China
Table 3
Meta-regression analysis of the Mongolian group to explore potential sources of heterogeneity, prevalence, awareness, treatment, and control.
| Variable | N | Coefficient | Tau2 | Adj. R2(%) | I2 | |
| Prevalence | Block 0 | 10 | 0.3981608 | 0.00907 | | 99.01 | <0.001 | Age (mean) | 9 | 0.0114007 | 0.00228 | 69.12 | 97.12 | 0.004 | BMI (mean) | 7 | 0.0111736 | 0.00661 | −9.59 | 98.93 | 0.523 | Tobacco use (%) | 9 | 0.0015801 | 0.00820 | −11.13 | 99.11 | 0.658 | Alcohol use (%) | 9 | −0.0000628 | 0.00844 | −14.36 | 99.10 | 0.987 | Gender (women %) | 10 | 0.0073648 | 0.00914 | −0.77 | 98.91 | 0.365 | Education (primary %) | 8 | 0.0033455 | 0.00737 | 3.84 | 99.01 | 0.300 | Residence (urban %) | 9 | 0.0027103 | 0.00866 | 14.78 | 99.07 | 0.167 | Study year | | | 0.00911 | −4.64 | 97.63 | | ≥2010 | 6 | −0.0520017 | | | | 0.430 | <2010 (ref) | 4 | | | | | |
| Awareness | Block 0 | 9 | 0.5795011 | 0.02745 | | 99.68 | <0.001 | Age (mean) | 8 | 0.0071019 | 0.03356 | −7.80 | 99.62 | 0.513 | BMI (mean) | 6 | 0.0420745 | 0.02073 | 16.46 | 99.38 | 0.232 | Tobacco use (%) | 8 | −0.0040465 | 0.03478 | −11.71 | 99.75 | 0.623 | Alcohol use (%) | 8 | −0.0001928 | 0.03628 | −16.52 | 99.75 | 0.980 | Gender (women %) | 9 | 0.0145477 | 0.02756 | −0.40 | 99.64 | 0.360 | Education (primary %) | 8 | −0.0037034 | 0.03433 | −10.26 | 99.71 | 0.580 | Residence (urban %) | 8 | 0.0018788 | 0.01985 | −7.70 | 99.22 | 0.509 | Study year | | | 0.02878 | −4.87 | 99.71 | | <2010 | 3 | −0.0957634 | | | | 0.453 | ≥2010 (ref) | 6 | | | | | |
| Treatment | Block 0 | 9 | 0.5063089 | 0.04006 | | 99.65 | <0.001 | Age(mean) | 8 | 0.0001872 | 0.05213 | −16.74 | 99.72 | 0.989 | BMI (mean) | 6 | 0.0373971 | 0.01717 | 15.08 | 99.30 | 0.242 | Tobacco use (%) | 8 | −0.0017870 | 0.05182 | −16.06 | 99.71 | 0.857 | Alcohol use (%) | 8 | 0.0112595 | 0.03857 | 13.63 | 99.71 | 0.197 | Gender (women %) | 9 | 0.0318632 | 0.02748 | 31.40 | 99.43 | 0.068 | Education (primary %) | 8 | −0.0118833 | 0.03174 | 28.92 | 99.57 | 0.098 | Residence (urban %) | 8 | 0.0031071 | 0.03512 | −3.48 | 99.42 | 0.414 | Study year | | | 0.04137 | −3.26 | 99.65 | | <2010 | 3 | −0.1244581 | | | | 0.417 | ≥2010 (ref) | 6 | | | | | |
| Control | Block 0 | 9 | 0.1601280 | 0.01308 | | 99.45 | 0.003 | Age (mean) | 8 | −0.0037464 | 0.01698 | −13.03 | 99.51 | 0.628 | BMI (mean) | 6 | 0.0239634 | 0.00244 | 47.00 | 99.30 | 0.081 | Tobacco use (%) | 8 | −0.0023905 | 0.01709 | −13.79 | 98.79 | 0.681 | Alcohol use (%) | 8 | 0.0066254 | 0.01318 | 12.24 | 99.45 | 0.202 | Gender (women %) | 9 | 0.0164198 | 0.01016 | 22.37 | 98.30 | 0.117 | Education (primary %) | 8 | −0.0083389 | 0.00806 | 46.36 | 99.44 | 0.039 | Residence (urban %) | 8 | 0.0129200 | 0.00062 | −16.83 | 97.71 | 0.788 | Study year | | | 0.01045 | 20.09 | 98.45 | | <2010 | 3 | −0.1244728 | | | | 0.136 | ≥2010 (ref) | 6 | | | | | |
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