Table 1 Characteristics of included studies
First author, year | Study location | study period | Study design | Study participants | Sample size | Incidence of CHE | Quality assessment of included studies |
|---|---|---|---|---|---|---|---|
He 2006 [19] | Shanxi | 2006 | cross-sectional study | Families of farmers in poor counties | 607 | 13.34% | 5 |
Jia 2006 [20] | Shanghai | 2006 | cross-sectional study | Rural residents | 3494 | 5.20% | 3 |
Sun 2008 [21] | Qinghai | 2008 | cross-sectional study | Poor families (low-insured households) and non-poor families | 1605 | 38.44% | 5 |
Cui 2011 [22] | China | 2011 | cross-sectional study | Rural patients with primary hypertension, stroke or coronary heart disease | 1189 | 19.20% | 5 |
Wan 2011 [23] | Sichuan | 2011 | cross-sectional study | Low-income families | 1980 | 19.90% | 5 |
Chen 2012 [24] | Shanghai | 2012 | cross-sectional study | Active tuberculosis patients | 97 | 34.02% | 4 |
Chen 2012 [25] | Shandong | 2012 | cross-sectional study | Rural residents | 179 | 26.51% | 8 |
Yan 2012 [12] | Shaanxi | 2012 | cross-sectional study | Urban residents | 800 | 5.38% | 6 |
Ye 2012 [26] | China | 2012 | cross-sectional study | Urban residents | 55,556 | 13% | 10 |
Wang 2012 [27] | Hebei | 2012 | cross-sectional study | Town family | 305 | 8.90% | 5 |
He 2013 [28] | China | 2013 | cross-sectional study | Residents | 2931 | 13.99% | 4 |
Li 2013 [29] | China | 2013 | cross-sectional study | Residents | 11,577 | 15.40% | 7 |
Qin 2013 [30] | China | 2013 | cross-sectional study | Urban residents | 4915 | 16.89% | 5 |
Shi 2013 [31] | Yunnan | 2013 | cross-sectional study | Rural residents | 300 | 4.67% | 4 |
Ye 2013 [32] | China | 2013 | cross-sectional study | Families of maternal deaths in rural areas | 195 | 56.92% | 4 |
Fu 2014 [33] | Heilongjiang | 2014 | cross-sectional study | Residents | 3098 | 23.79% | 3 |
Liu 2014 [34] | Jiangsu | 2014 | cross-sectional study | Rural residents | 1960 | 3.00% | 6 |
Su 2014 [35] | Shandong | 2014 | cross-sectional study | Rural residents | 2180 | 22.10% | 4 |
Xu 2014 [36] | Guangdong | 2014 | cross-sectional study | Patients with stroke | 300 | 35.33% | 5 |
Yin 2014 [37] | Yunnan | 2014 | cross-sectional study | Rural residents | 1140 | 11.19% | 5 |
Li 2015 [38] | Xinjiang | 2015 | cross-sectional study | Residents | 1845 | 6.97% | 5 |
Che 2016 [39] | Yunnan | 2016 | cross-sectional study | Patients with chronic HBV without complications and indemnifying HBV cirrhosis over 20 years of age | 940 | 41.70% | 6 |
Gao 2016 [40] | Hubei | 2016 | cross-sectional study | Rural families | 7202 | 9.71% | 5 |
Li 2016 [41] | Chongqing | 2016 | cross-sectional study | Rural chronic disease residents | 921 | 18.46% | 5 |
Luo 2016 [42] | Hubei | 2016 | cross-sectional study | Rural residents | 441 | 31.30% | 6 |
Wang 2016 [43] | Hebei | 2016 | cross-sectional study | Rural residents | 1581 | 10.37% | 5 |
Wang 2016 [44] | Jiangsu | 2016 | cross-sectional study | Elderly residents in rural areas | 1588 | 27.13% | 5 |
Wu 2016 [45] | Jiangxi | 2016 | cross-sectional study | Lung cancer patients | 203 | 47.30% | 7 |
Xiao 2016 [46] | Chongqing | 2016 | cross-sectional study | People with high blood pressure in rural areas | 1200 | 27.92% | 5 |
Zang 2016 [47] | Gansu | 2016 | cross-sectional study | Urban residents | 7500 | 15.40% | 8 |
Zhang 2016 [48] | China | 2016 | cross-sectional study | Rural families | 3012 | 29.71% | 5 |
Zhou 2016 [49] | Sichuan | 2016 | cross-sectional study | Rural families | 2244 | 6.37% | 6 |
Feng 2017 [50] | Hubei | 2017 | cross-sectional study | Residents | 604 | 26.99% | 4 |
Gao 2017 [51] | China | 2017 | cross-sectional study | Patients with the disease | 497 | 73.44% | 3 |
Li 2017 [52] | Shanxi | 2017 | cross-sectional study | Urban residents | 455 | 13.41% | 5 |
Li 2017 [53] | Gansu | 2017 | cross-sectional study | Rural residents | 373 | 31.09% | 4 |
Niu 2017 [54] | Shandong | 2017 | cross-sectional study | Diabetes patients | 2183 | 13.70% | 5 |
Yu 2017 [55] | Shaanxi | 2017 | cross-sectional study | Farmers | 250 | 76.80% | 4 |
Duan 2018 [56] | Hebei | 2018 | cross-sectional study | Rural residents | 1083 | 35.84% | 3 |
Huang 2018 [57] | Yunnan | 2018 | cross-sectional study | Elderly diabetics | 162 | 26.37% | 6 |
Huang 2018 [58] | Shandong | 2018 | cross-sectional study | Rural families | 754 | 19.73% | 6 |
Li 2018 [59] | Yunnan | 2018 | cross-sectional study | Urban residents | 1510 | 30.46% | 5 |
Li 2018 [60] | Jiangsu | 2018 | cross-sectional study | Group of middle-aged and elderly people | 1080 | 31.20% | 4 |
Wang 2018 [61] | Sichuan | 2018 | cross-sectional study | Rural families | 999 | 18.02% | 9 |
Zeng 2018 [62] | China | 2018 | cross-sectional study | Urban residents | 13,602 | 12.47% | 5 |
Zheng 2018 [63] | Liaoning | 2018 | cross-sectional study | Cancer patients | 1344 | 42.78% | 6 |
Yu 2019 [64] | Yunnan | 2019 | cross-sectional study | Urban residents | 3930 | 14.02% | 8 |