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Geospatial Analysis of Risk Factors ...
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Mendoza, Grant Anthony,
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Geospatial Analysis of Risk Factors Associated With Hypertension in California /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Geospatial Analysis of Risk Factors Associated With Hypertension in California // Grant Anthony Mendoza.
Author:
Mendoza, Grant Anthony,
Description:
1 electronic resource (67 pages)
Notes:
Source: Masters Abstracts International, Volume: 85-11.
Contained By:
Masters Abstracts International85-11.
Subject:
Public health. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31298678
ISBN:
9798382602875
Geospatial Analysis of Risk Factors Associated With Hypertension in California /
Mendoza, Grant Anthony,
Geospatial Analysis of Risk Factors Associated With Hypertension in California /
Grant Anthony Mendoza. - 1 electronic resource (67 pages)
Source: Masters Abstracts International, Volume: 85-11.
Background. Hypertension is the leading contributing cause of premature death worldwide (World Health Organization [WHO], 2023). In California, hypertension prevalence is 27.9% (United Health Foundation, 2021), and the mortality rate for hypertension is 14.7 per 100,000, ranking the third highest state (CDC, 2022). Currently, there is a significant gap in research in understanding the association of geospatial factors with hypertension prevalence in California at the census tract level. Objective. The objective of this study was to assess the geospatial association between food deserts, transportation, and hypertension prevalence at the community level, including known risk factors. Methods. Secondary data was collected from CDC PLACES, Healthy Places Index 3.0, USDA's Food Access Research Atlas, American Community Survey, and the National Walkability Index. Multiple linear regression modeling was used for significance testing. Results. Once the data were merged there were 7,743 observations(census tracts) included in the final analysis. An increased risk of hypertension was found in food deserts lacking transportation (b = 1.96; 95% CI 1.72, 2.20). Discussion. To my knowledge, this is the first study to examine access to supermarkets and modes of transportation while including known geospatial risk factors. This study suggests that communities in food deserts lacking transportation are more likely to have an increased hypertension prevalence than non-food desert communities.
English
ISBN: 9798382602875Subjects--Topical Terms:
534748
Public health.
Subjects--Index Terms:
Food access
Geospatial Analysis of Risk Factors Associated With Hypertension in California /
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Background. Hypertension is the leading contributing cause of premature death worldwide (World Health Organization [WHO], 2023). In California, hypertension prevalence is 27.9% (United Health Foundation, 2021), and the mortality rate for hypertension is 14.7 per 100,000, ranking the third highest state (CDC, 2022). Currently, there is a significant gap in research in understanding the association of geospatial factors with hypertension prevalence in California at the census tract level. Objective. The objective of this study was to assess the geospatial association between food deserts, transportation, and hypertension prevalence at the community level, including known risk factors. Methods. Secondary data was collected from CDC PLACES, Healthy Places Index 3.0, USDA's Food Access Research Atlas, American Community Survey, and the National Walkability Index. Multiple linear regression modeling was used for significance testing. Results. Once the data were merged there were 7,743 observations(census tracts) included in the final analysis. An increased risk of hypertension was found in food deserts lacking transportation (b = 1.96; 95% CI 1.72, 2.20). Discussion. To my knowledge, this is the first study to examine access to supermarkets and modes of transportation while including known geospatial risk factors. This study suggests that communities in food deserts lacking transportation are more likely to have an increased hypertension prevalence than non-food desert communities.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31298678
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