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Socioeconomic status and risk factors for cardiovascular disease (CVD) among the residents of Jammu Division (J&K-India) - A Geo Medical Analysis
The main focus of this paper is to examine the relationship between CVD risk factors and socioeconomic variables in Jammu division of Jammu and Kashmir. Cardiovascular disease (CVD) related deaths is not only the prime cause of mortality in the world, it has also continued to increase in the low and...
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Published in: | Acta graphica 2021-04, Vol.30 (1), p.25-33 |
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description | The main focus of this paper is to examine the relationship between CVD risk factors and socioeconomic variables in Jammu division of Jammu and Kashmir. Cardiovascular disease (CVD) related deaths is not only the prime cause of mortality in the world, it has also continued to increase in the low and middle income countries. The study area was divided into ten districts (administrative units) in GIS environment. linear regression, binary logistic regression model, Kendal’s ranking coefficient method were employed to show the incidence, spatial variation and impact of different socioeconomic variables on CVD. The results reveals that the incidence of CVD has increased by 7.31 percent from 2008 to 2016. Samba district was having maximum change of incidence (33.24 percent), however, negative change in incidence rate was found in Udhampur district (-2.41 percent). Consumption of tobacco and alcohol are significant related to cardiovascular diseases. |
doi_str_mv | 10.25027/agj2017.28.v30i1.206 |
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Cardiovascular disease (CVD) related deaths is not only the prime cause of mortality in the world, it has also continued to increase in the low and middle income countries. The study area was divided into ten districts (administrative units) in GIS environment. linear regression, binary logistic regression model, Kendal’s ranking coefficient method were employed to show the incidence, spatial variation and impact of different socioeconomic variables on CVD. The results reveals that the incidence of CVD has increased by 7.31 percent from 2008 to 2016. Samba district was having maximum change of incidence (33.24 percent), however, negative change in incidence rate was found in Udhampur district (-2.41 percent). 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Cardiovascular disease (CVD) related deaths is not only the prime cause of mortality in the world, it has also continued to increase in the low and middle income countries. The study area was divided into ten districts (administrative units) in GIS environment. linear regression, binary logistic regression model, Kendal’s ranking coefficient method were employed to show the incidence, spatial variation and impact of different socioeconomic variables on CVD. The results reveals that the incidence of CVD has increased by 7.31 percent from 2008 to 2016. Samba district was having maximum change of incidence (33.24 percent), however, negative change in incidence rate was found in Udhampur district (-2.41 percent). 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Cardiovascular disease (CVD) related deaths is not only the prime cause of mortality in the world, it has also continued to increase in the low and middle income countries. The study area was divided into ten districts (administrative units) in GIS environment. linear regression, binary logistic regression model, Kendal’s ranking coefficient method were employed to show the incidence, spatial variation and impact of different socioeconomic variables on CVD. The results reveals that the incidence of CVD has increased by 7.31 percent from 2008 to 2016. Samba district was having maximum change of incidence (33.24 percent), however, negative change in incidence rate was found in Udhampur district (-2.41 percent). Consumption of tobacco and alcohol are significant related to cardiovascular diseases.</abstract><pub>Acta Graphica d.o.o</pub><doi>10.25027/agj2017.28.v30i1.206</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | CVD, Jammu, Socioeconomic, Vulnerability |
title | Socioeconomic status and risk factors for cardiovascular disease (CVD) among the residents of Jammu Division (J&K-India) - A Geo Medical Analysis |
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