Spatiotemporal trends and ecological determinants of cardiovascular mortality among 2844 counties in mainland China, 2006-2020: a Bayesian modeling study of national mortality registries
文献类型：期刊论文
| 作者 | Wang, Wei2; Li, Junming5; Liu, Yunning2; Ye, Pengpeng1,2; Xu, Chengdong4; Yin, Peng2; Liu, Jiangmei2; Qi, Jinlei2; You, Jinling2; Lin, Lin2 |
| 刊名 | BMC MEDICINE
 |
| 出版日期 | 2022-11-30 |
| 卷号 | 20期号:1页码:15 |
| ISSN号 | 1741-7015 |
| 关键词 | Cardiovascular mortality China Spatiotemporal characteristics nonmedical ecological determinants Hierarchical Bayesian model Population-based strategy |
| DOI | 10.1186/s12916-022-02613-9 |
| 通讯作者 | Huo, Yong(huoyong@263.net.cn) ; Zhou, Maigeng(zhoumaigeng@ncncd.chinacdc.cn) |
| 英文摘要 | Background: Cardiovascular disease (CVD) is the leading cause of death in China. No previous study has reported CVD mortality at county-level, and little was known about the nonmedical ecological factors of CVD mortality at such small scale in mainland China. Understanding the spatiotemporal variations of CVD mortality and examining its non-medical ecological factors would be of great importance to tailor local public health policies. Methods: By using national mortality registration data in China, this study used hierarchical spatiotemporal Bayesian model to demonstrate spatiotemporal distribution of CVD mortality in 2844 counties during 2006 to 2020 and investigate how nonmedical ecological determinants have affected CVD mortality inequities from the spatial perspectives. Results: During 2006-2020, the age-standardized mortality rate (ASMR) of CVD decreased from 284.77 per 100,000 in 2006 to 241.34 per 100,000 in 2020. Among 2844 counties, 1144 (40.22%) were hot spots counties with a higher CVD mortality risk compared to the national average and located mostly in northeast, north central, and westernmost regions; on the contrary, 1551 (54.53%) were cold spots counties and located mostly in south and southeast coastal counties. CVD mortality risk decreased from 2006 to 2020 was larger in counties where CVD mortality rate had been higher in 2006 in most of the counties, vice versa. Nationwide, nighttime light intensity (NTL) was the major influencing factor of CVD mortality, a higher NTL appeared to be negatively associated with a lower CVD mortality, with one unit increase in NTL, and the CVD mortality risk will decrease 11% (relative risk of NTL was estimated as 0.89 with 95% confidence interval of 0.83-0.94). Conclusions: Substantial between-county discrepancies of CVD mortality distribution were observed during past 15 years in mainland China. Nonmedical ecological determinants were estimated to significantly explain the overall and local spatiotemporal patterns of this CVD mortality risk. Targeted considerations are needed to integrate primary care with clinical care through intensifying further strategies to narrow unequally distribution of CVD mortality at local scale. The approach to county-level analysis with small area models has the potential to provide novel insights into Chinese disease-specific mortality burden. |
| WOS关键词 | SPACE-TIME VARIATION ; PRIMARY-HEALTH-CARE ; SOCIAL DETERMINANTS ; EMPIRICAL-EVIDENCE ; DISEASE MORTALITY ; LIFE EXPECTANCY ; RISK-FACTORS ; SURVEILLANCE ; INEQUALITIES ; PROGRESS |
| 资助项目 | National Natural Science Foundation of China ; National Key Research & Development Program of China[81941025] ; [2018YFC1315301] |
| WOS研究方向 | General & Internal Medicine |
| 语种 | 英语 |
| 出版者 | BMC |
| WOS记录号 | WOS:000892990500001 |
| 资助机构 | National Natural Science Foundation of China ; National Key Research & Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188043]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huo, Yong; Zhou, Maigeng |
| 作者单位 | 1.Univ New South Wales, George Inst Global Hlth, Fac Med & Hlth, Sydney, Australia 2.Chinese Ctr Dis Control & Prevent, Natl Ctr Chron & Noncommunicable Dis Control & Pre, 27 Nanwei Rd, Beijing 100050, Peoples R China 3.Peking Univ First Hosp, Dept Cardiol, 8 Xishiku St, Beijing 100034, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.Shanxi Univ Finance & Econ, Sch Stat, Taiyuan, Shanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Wei,Li, Junming,Liu, Yunning,et al. Spatiotemporal trends and ecological determinants of cardiovascular mortality among 2844 counties in mainland China, 2006-2020: a Bayesian modeling study of national mortality registries[J]. BMC MEDICINE,2022,20(1):15. |
| APA | Wang, Wei.,Li, Junming.,Liu, Yunning.,Ye, Pengpeng.,Xu, Chengdong.,...&Zhou, Maigeng.(2022).Spatiotemporal trends and ecological determinants of cardiovascular mortality among 2844 counties in mainland China, 2006-2020: a Bayesian modeling study of national mortality registries.BMC MEDICINE,20(1),15. |
| MLA | Wang, Wei,et al."Spatiotemporal trends and ecological determinants of cardiovascular mortality among 2844 counties in mainland China, 2006-2020: a Bayesian modeling study of national mortality registries".BMC MEDICINE 20.1(2022):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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