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地理信息系统在评估心血管疾病决定因素中的作用:来自一个中低收入国家的经验。

Role of Geographic Information System in Assessing Determinants of Cardiovascular Disease: An Experience From a Low- and Middle-Income Country.

机构信息

1 Government Medical College Hospital, Thiruvananthapuram, Kerala, India.

2 University of Kerala, Thiruvananthapuram, Kerala, India.

出版信息

Asia Pac J Public Health. 2018 May;30(4):351-360. doi: 10.1177/1010539518768333. Epub 2018 Apr 12.

Abstract

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the world. The determinants of CVD in an urban population using conventional and geographic information system techniques were attempted as a community-based census-type cross-sectional study in Kerala, India, among 1649 individuals residing in 452 households. Sociodemographic details, risk factor exposures, and self-reported disease prevalence were determined. Location of houses, wells from which subjects drew drinking water, and distances of the house from the outer road (proxy for air pollution) were mapped using differential global positioning system and pH of water samples determined. Prevalence of CVD was 5.8%. Significant predictors of CVD were male gender, diabetes mellitus, hypertension, and hypothyroidism. Statistically significant spatial association was found between CVD and groundwater pH. Geographic information system technology is useful in identification of spatial clustering and disease hotspots for designing preventive strategies targeting CVD.

摘要

心血管疾病(CVD)是世界上发病率和死亡率的主要原因。本研究采用基于社区的普查型横断面研究,在印度喀拉拉邦的 1649 名个体的 452 户家庭中,利用常规和地理信息系统技术来研究城市人群中 CVD 的决定因素。确定了社会人口统计学细节、危险因素暴露和自我报告的疾病流行情况。使用差分全球定位系统绘制了房屋的位置、居民从中汲取饮用水的水井以及房屋距外路的距离(空气污染的替代指标),并测定了水样的 pH 值。CVD 的患病率为 5.8%。CVD 的显著预测因素为男性、糖尿病、高血压和甲状腺功能减退症。还发现 CVD 与地下水 pH 值之间存在统计学显著的空间关联。地理信息系统技术可用于识别空间聚类和疾病热点,以制定针对 CVD 的预防策略。

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