| Literature DB >> 31327817 |
Yang Zhao1,2, Brian Oldenburg1,2, Siqi Zhao3,4, Tilahun Nigatu Haregu1, Luwen Zhang5.
Abstract
BACKGROUND: This study examines trends and geographic disparities in the diagnosis, treatment, and control of hypertension in China and investigates the association between regional factors and hypertension care.Entities:
Keywords: China; geographic disparities; hypertension care; trends
Mesh:
Year: 2019 PMID: 31327817 PMCID: PMC7348077 DOI: 10.2188/jea.JE20190029
Source DB: PubMed Journal: J Epidemiol ISSN: 0917-5040 Impact factor: 3.211
Figure 1. Five classes of the region based on GDP per capita in China in 2015
Hypertension prevalence and health care among Chinese adults from 2011 to 2015, by place of residence
| 2011 | 2013 | 2015 | ||||||||||
| Unweighted | Weighted | Unweighted | Weighted | Unweighted | Weighted | |||||||
| Sample size | 13,725 | — | — | 10,893 | — | — | 11,675 | — | — | |||
| Prevalence | ||||||||||||
| Urban | 1,070 | 45.6 | 46.3 | 0.012 | 911 | 48.9 | 50.1 | 0.009 | 828 | 45.8 | 45.0 | 0.053 |
| Rural | 3,122 | 36.1 | 36.9 | 2,889 | 41.0 | 41.0 | 3,104 | 40.5 | 40.2 | |||
| Rural-to-urban | 1,093 | 40.0 | 43.1 | 866 | 43.5 | 40.4 | 942 | 42.8 | 42.5 | |||
| All | 5,285 | 38.5 | 40.8 | 4,666 | 42.8 | 43.3 | 4,874 | 41.8 | 41.8 | |||
| Undiagnosed | ||||||||||||
| Urban | 354 | 33.1 | 35.3 | 0.005 | 306 | 33.6 | 35.9 | 0.216 | 205 | 24.8 | 23.8 | <0.001 |
| Rural | 1,439 | 46.1 | 46.2 | 1,133 | 39.2 | 39.9 | 1,036 | 33.4 | 34.1 | |||
| Rural-to-urban | 516 | 47.2 | 50.7 | 351 | 40.5 | 46.5 | 317 | 33.7 | 35.3 | |||
| All | 2,309 | 43.7 | 44.1 | 1,790 | 38.4 | 40.0 | 1,558 | 32.0 | 31.7 | |||
| Untreated | ||||||||||||
| Urban | 411 | 38.4 | 42.0 | 0.003 | 375 | 41.2 | 42.4 | 0.114 | 264 | 31.9 | 29.9 | <0.001 |
| Rural | 1,685 | 54.0 | 53.6 | 1,382 | 47.8 | 48.0 | 1,239 | 39.9 | 40.6 | |||
| Rural-to-urban | 610 | 55.8 | 59.2 | 424 | 49.0 | 53.8 | 391 | 41.5 | 41.7 | |||
| All | 2,706 | 51.2 | 51.6 | 2,181 | 46.7 | 47.4 | 1,894 | 38.9 | 38.0 | |||
| Uncontrolled | 1 | 1 | 1 | |||||||||
| Urban | 773 | 72.2 | 75.6 | 0.003 | 685 | 75.2 | 77.0 | 0.504 | 537 | 64.9 | 63.6 | <0.001 |
| Rural | 2,529 | 81.0 | 80.6 | 2,234 | 77.3 | 77.0 | 2,299 | 74.1 | 73.8 | |||
| Rural-to-urban | 911 | 83.4 | 86.7 | 683 | 78.9 | 81.1 | 712 | 75.6 | 75.1 | |||
| All | 4,213 | 79.7 | 80.7 | 3,602 | 77.2 | 77.8 | 3,548 | 72.8 | 71.4 | |||
Prevalence, undiagnosed, untreated and uncontrolled hypertension in China from 2011 to 2015, by region based on economic statusa
| 2011 | 2013 | 2015 | ||||||||||
| Unweighted | Weighted | Unweighted | Weighted | Unweighted | Weighted | |||||||
| Prevalence | — | |||||||||||
| Class 1 | 120 | 46.7 | 54.3 | 0.052 | 69 | 51.9 | 56.0 | 0.105 | 58 | 53.7 | 52.1 | 0.266 |
| Class 2 | 1,614 | 40.6 | 43.2 | 1,420 | 43.7 | 41.5 | 1,519 | 43.4 | 41.5 | |||
| Class 3 | 702 | 36.8 | 40.9 | 604 | 42.1 | 43.9 | 601 | 40.3 | 42.2 | |||
| Class 4 | 2,052 | 36.7 | 37.5 | 1,929 | 42.8 | 43.8 | 1,966 | 40.9 | 41.6 | |||
| Class 5 | 797 | 39.9 | 40.8 | 644 | 41.1 | 42.9 | 730 | 41.2 | 41.3 | |||
| Undiagnosed | ||||||||||||
| Class 1 | 24 | 20.0 | 14.4 | <0.001 | 18 | 26.1 | 12.6 | 0.017 | 9 | 15.5 | 11.1 | 0.068 |
| Class 2 | 707 | 43.8 | 47.7 | 528 | 37.2 | 42.2 | 507 | 33.4 | 33.4 | |||
| Class 3 | 306 | 43.6 | 40.0 | 248 | 41.1 | 38.4 | 193 | 32.1 | 33.1 | |||
| Class 4 | 867 | 42.3 | 42.3 | 744 | 38.6 | 40.4 | 596 | 30.3 | 30.2 | |||
| Class 5 | 405 | 50.8 | 50.9 | 252 | 39.1 | 42.3 | 253 | 34.7 | 34.8 | |||
| Untreated | ||||||||||||
| Class 1 | 31 | 25.8 | 21.0 | <0.001 | 21 | 30.4 | 22.3 | 0.030 | 10 | 17.2 | 11.7 | 0.014 |
| Class 2 | 801 | 49.6 | 53.7 | 640 | 45.1 | 48.5 | 628 | 41.3 | 40.7 | |||
| Class 3 | 357 | 50.9 | 46.4 | 302 | 50.0 | 47.2 | 227 | 37.8 | 39.2 | |||
| Class 4 | 1,044 | 50.9 | 51.0 | 899 | 46.6 | 47.3 | 729 | 37.1 | 36.2 | |||
| Class 5 | 473 | 59.4 | 60.2 | 319 | 49.5 | 52.1 | 300 | 41.1 | 41.1 | |||
| Uncontrolled | ||||||||||||
| Class 1 | 75 | 62.5 | 75.0 | 0.260 | 43 | 62.3 | 56.2 | 0.062 | 38 | 65.5 | 59.5 | 0.335 |
| Class 2 | 1,274 | 78.9 | 82.1 | 1,079 | 76.0 | 79.3 | 1,112 | 73.2 | 71.3 | |||
| Class 3 | 575 | 81.9 | 79.1 | 487 | 80.6 | 79.9 | 440 | 73.2 | 72.6 | |||
| Class 4 | 1,617 | 78.8 | 78.4 | 1,480 | 76.7 | 76.4 | 1,416 | 72.0 | 71.0 | |||
| Class 5 | 672 | 84.3 | 85.1 | 513 | 79.7 | 81.9 | 542 | 74.3 | 74.4 | |||
aClass 1 is the richest region and Class 5 the poorest region.
Figure 2. Geographic variation in hypertension prevalence and diagnosis in 2011, 2013, and 2015
Figure 3. Geographic variation in treatment and control of hypertension in 2011, 2013, and 2015
The random effects of region development on hypertension care in China from 2011 to 2015
| Variable (reference) | Undiagnosed | Untreated | Uncontrolled | ||||||
| AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | ||||
| Regiona (Class 1) | |||||||||
| Class 2 | 6.975*** | 3.266 | 14.895 | 2.384*** | 1.608 | 3.535 | 2.228*** | 1.700 | 2.920 |
| Class 3 | 6.651*** | 2.838 | 15.585 | 2.542*** | 1.652 | 3.911 | 2.651*** | 1.962 | 3.582 |
| Class 4 | 3.917*** | 1.951 | 7.866 | 2.072*** | 1.436 | 2.988 | 1.812*** | 1.414 | 2.320 |
| Class 5 | 8.489*** | 3.630 | 19.854 | 2.799*** | 1.827 | 4.290 | 2.559*** | 1.899 | 3.450 |
| Residence place (ref: urban) | |||||||||
| Rural | 1.030 | 0.541 | 1.960 | 1.354 | 0.972 | 1.885 | 1.068 | 0.840 | 1.359 |
| Rural-to-urban | 1.684 | 0.813 | 3.491 | 2.115*** | 1.448 | 3.088 | 1.494** | 1.133 | 1.970 |
| Age (ref: 45–60 years) | |||||||||
| 60–70 | 0.247*** | 0.165 | 0.371 | 0.467*** | 0.376 | 0.580 | 0.868 | 0.740 | 1.017 |
| 70–80 | 0.198*** | 0.114 | 0.345 | 0.456*** | 0.341 | 0.610 | 1.272* | 1.024 | 1.580 |
| ≥80 | 0.106*** | 0.041 | 0.275 | 0.487** | 0.296 | 0.804 | 1.420 | 0.948 | 2.125 |
| Gender (ref: male) | 0.390*** | 0.249 | 0.612 | 0.567*** | 0.454 | 0.707 | 0.777** | 0.664 | 0.908 |
| BMI | 0.666*** | 0.631 | 0.704 | 0.818*** | 0.796 | 0.841 | 0.951*** | 0.934 | 0.967 |
| Martial status (ref: married) | 1.361 | 0.786 | 2.357 | 1.183 | 0.893 | 1.569 | 1.237 | 0.998 | 1.534 |
| Education (ref: illiterate) | |||||||||
| Primary school | 0.819 | 0.481 | 1.395 | 0.903 | 0.696 | 1.170 | 0.752** | 0.623 | 0.908 |
| Middle school & above | 0.517** | 0.276 | 0.969 | 0.785 | 0.574 | 1.073 | 0.731** | 0.584 | 0.915 |
| Comorbidity (no) | 0.040*** | 0.025 | 0.064 | 0.234*** | 0.188 | 0.293 | 0.437*** | 0.370 | 0.515 |
| PCE, (ref: <10,000 RMB) | 0.357*** | 0.261 | 0.490 | 0.573*** | 0.476 | 0.689 | 0.717*** | 0.622 | 0.827 |
| Health insuranceb (ref: none) | |||||||||
| UEBMI | 0.321** | 0.139 | 0.737 | 0.713 | 0.444 | 1.144 | 0.611* | 0.420 | 0.890 |
| URBMI | 0.212** | 0.087 | 0.517 | 0.635 | 0.383 | 1.055 | 0.619* | 0.413 | 0.928 |
| NCMS | 0.471* | 0.255 | 0.869 | 0.647* | 0.451 | 0.928 | 0.673* | 0.494 | 0.918 |
| Others | 0.705 | 0.239 | 2.084 | 0.738 | 0.388 | 1.405 | 0.696 | 0.416 | 1.165 |
AOR, adjusted odds ratio; BMI, body mass index; PCE, per capita household annual consumption expenditure; UEBMI, Urban Employee Basic Medical Insurance; URBMI, Urban Resident Basic Medical Insurance; NCMS, New Rural Cooperative Medical Scheme.
***P < 0.001, **P < 0.01, *P < 0.05 significance test.
aClass 1 is the richest region and Class 5 the poorest region.
bOthers Government health care, private medical insurance and so on.