| Literature DB >> 29649883 |
Mathew Joseph Valamparampil1, Ananth Mohan1, Chinu Jose2, Deepthi Kottassery Sadheesan1, Jemin Jose Aby1, Prasannakumar Vasudevakaimal2, Sara Varghese3, Anish Tekkumkara Surendrannair1, Achu Laila Ashokan2, Resmi Santhakumari Madhusoodhanan4, Insija Selene Ilyas1, Amjith Rajeevan5, Sreekanth Balakrishnan Karthikeyan1, Krishna Sulochana Devadhas1, Rajesh Raghunath2, Sethulekshmi Surendran1, Harikrishnan Muraleedharanpillai1, Zinia Thajudeen Nujum3.
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.Entities:
Keywords: GIS; cardiovascular diseases; diabetes mellitus; hypothyroidism; pH
Mesh:
Year: 2018 PMID: 29649883 DOI: 10.1177/1010539518768333
Source DB: PubMed Journal: Asia Pac J Public Health ISSN: 1010-5395 Impact factor: 1.399