{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T01:10:30Z","timestamp":1790039430687,"version":"4.0.1"},"reference-count":34,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>The fourth round of National Family Health Survey (2015\u20132016) measured blood pressure for the first time and provided a unique opportunity of exploring trends in hypertension prevalence across states and districts for the first time.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim:<\/jats:title>\n                    <jats:p>This study will be the first in India to estimate the geospatial variation of hypertension among those in the 15\u201349 years age group in India.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>Out of a total of 616,346 selected occupied households, 601,509 were successfully interviewed, giving a response rate of 98%. We adjusted the proportion of hypertension obtained by using national sample weights. We built a multivariable logistic regression model to assess the determinants of hypertension.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The overall weighted prevalence of hypertension was 11.7%, and the prevalence was 11.1% in females and 11.0% in males. Urban areas had a higher prevalence (13.0%) compared to rural areas (11.0%). Those with no education (14.4%) and those who reported smoking (16.5%) had hypertension. Consumption of alcohol, fruits, and eggs was also found to be significantly related to hypertension.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Hypertension epidemic is spreading alarmingly in India across rural and urban populations. Disturbingly, the hypertension prevalence is now becoming more concentrated among the poor. This phenomenon has serious implications for the country\u2019s social and economic well-being. Urgent preventive measures need to be taken at a multidisciplinary level.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jfmpc.jfmpc_174_22","type":"journal-article","created":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T07:34:07Z","timestamp":1666164847000},"page":"5730-5737","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":3,"title":["Geospatial epidemiology of hypertension and its risk factors in India: Findings from National Family Health Survey (2015\u20132016)"],"prefix":"10.4103","volume":"11","author":[{"given":"Sheikh Mohd","family":"Saleem","sequence":"first","affiliation":[{"name":"Independent Public Health Researcher, Jammu and Kashmir, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gurpreet","family":"Singh","sequence":"additional","affiliation":[{"name":"Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and 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