Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009
Abstract Background In China, the spatiotemporal variations in cardiovascular disease (CVD) mortality are seldom characterized to understand their epidemiological features. It would be helpful to evaluate the performance of CVD-related interventions for subsequent adjustments. Methods The 2010 Censu...
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doaj-5e0e909639894ef1a8e69696c78973712020-11-25T03:37:06ZengBMCBMC Cardiovascular Disorders1471-22612019-07-0119111010.1186/s12872-019-1128-xSpatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009Hongyan Ren0Xia Wan1Cao Wei2Gonghuan Yang3State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical CollegeState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical CollegeAbstract Background In China, the spatiotemporal variations in cardiovascular disease (CVD) mortality are seldom characterized to understand their epidemiological features. It would be helpful to evaluate the performance of CVD-related interventions for subsequent adjustments. Methods The 2010 Census data as well as the coronary heart disease (CHD) and stroke mortality data from the Disease Surveillance Points (DSPs) were used to calculate the age standardized death rates (ASDRs) of CVD in the DSP counties during 1991–1995, 1996–2000, 2004–2005, and 2006–2009. The ordinary kriging (OK) method was used to estimate the county-level death rates of CHD and stroke and achieved satisfactory results. Results The goodness-of-fit between measured and estimated values of CVD mortality was significant at the 0.01 level (0.34 < R2 < 0.98). The counties with high CHD death rates (> 75 per 105) were located in the Northwest, North, and Northeast in 1991–2000 and then extended toward the North, Central, and South, yielding an inverted-triangle-shaped area in 2004–2009. The counties with a CHD death rate increase greater than 100% were concentrated in the Northeast and South. The Northeast-Southwest regions with a high stroke death rate gradient (> 150 per 105) narrowed in1991–2000, was followed by a slight expansion during 2004–2005, finally reducing in 2006–2009. The counties with a stroke mortality increase greater than 100% were scattered across the Northeast, Northwest, Central, and South. Conclusion The epidemiological characteristics of both CHD and stroke mortality in China was spatiotemporally featured on the county level during 1991–2009.http://link.springer.com/article/10.1186/s12872-019-1128-xCoronary heart diseaseStrokeSpatiotemporal variationOrdinary krigingEpidemiological changes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongyan Ren Xia Wan Cao Wei Gonghuan Yang |
spellingShingle |
Hongyan Ren Xia Wan Cao Wei Gonghuan Yang Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009 BMC Cardiovascular Disorders Coronary heart disease Stroke Spatiotemporal variation Ordinary kriging Epidemiological changes |
author_facet |
Hongyan Ren Xia Wan Cao Wei Gonghuan Yang |
author_sort |
Hongyan Ren |
title |
Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009 |
title_short |
Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009 |
title_full |
Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009 |
title_fullStr |
Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009 |
title_full_unstemmed |
Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009 |
title_sort |
spatiotemporal variations in cardiovascular disease mortality in china from 1991 to 2009 |
publisher |
BMC |
series |
BMC Cardiovascular Disorders |
issn |
1471-2261 |
publishDate |
2019-07-01 |
description |
Abstract Background In China, the spatiotemporal variations in cardiovascular disease (CVD) mortality are seldom characterized to understand their epidemiological features. It would be helpful to evaluate the performance of CVD-related interventions for subsequent adjustments. Methods The 2010 Census data as well as the coronary heart disease (CHD) and stroke mortality data from the Disease Surveillance Points (DSPs) were used to calculate the age standardized death rates (ASDRs) of CVD in the DSP counties during 1991–1995, 1996–2000, 2004–2005, and 2006–2009. The ordinary kriging (OK) method was used to estimate the county-level death rates of CHD and stroke and achieved satisfactory results. Results The goodness-of-fit between measured and estimated values of CVD mortality was significant at the 0.01 level (0.34 < R2 < 0.98). The counties with high CHD death rates (> 75 per 105) were located in the Northwest, North, and Northeast in 1991–2000 and then extended toward the North, Central, and South, yielding an inverted-triangle-shaped area in 2004–2009. The counties with a CHD death rate increase greater than 100% were concentrated in the Northeast and South. The Northeast-Southwest regions with a high stroke death rate gradient (> 150 per 105) narrowed in1991–2000, was followed by a slight expansion during 2004–2005, finally reducing in 2006–2009. The counties with a stroke mortality increase greater than 100% were scattered across the Northeast, Northwest, Central, and South. Conclusion The epidemiological characteristics of both CHD and stroke mortality in China was spatiotemporally featured on the county level during 1991–2009. |
topic |
Coronary heart disease Stroke Spatiotemporal variation Ordinary kriging Epidemiological changes |
url |
http://link.springer.com/article/10.1186/s12872-019-1128-x |
work_keys_str_mv |
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