Prevalence of hypertension and associated factors among adult residents in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia
Hypertension is the leading risk factor for mortality and it is also one of the major risk factors for other non-communicable diseases (NCDs). The objective of the study was to assess the prevalence of hypertension and its associated factors among adults residing in Arba Minch health and demographic...
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description | Hypertension is the leading risk factor for mortality and it is also one of the major risk factors for other non-communicable diseases (NCDs). The objective of the study was to assess the prevalence of hypertension and its associated factors among adults residing in Arba Minch health and demographic surveillance site (HDSS), Southern Ethiopia. A community-based cross-sectional survey was conducted in 2017 on the estimated sample size of 3,368 adults at Arba Minch Health and Demographic Surveillance site (HDSS). Data were collected using the WHO STEPS survey tools. Bivariate analysis was done to detect candidate variables at P-value less than 0.25 and entered into the final model to identify the independent predictors of hypertension. The prevalence of hypertension was 18.92% (95% CI: 17.63-20.28). The magnitude increase among respondents in the older age group [AOR 1.39 (95%CI: 1.05-1.84), 1.68 (95% CI: 1.26-2.23) and 2.67 (95%CI: 2.01-3.56) for age group 35-44, 45-54 and 55-64, respectively, compared to 25-34 years old group] and those with the higher wealth index [AOR 1.86 (95%CI: 1.33-2.59), 2.68 (95% CI: 1.91-3.75) and 2.97 (95%CI: 2.08-4.25) for 3rd quantile, 4th quantile and 5th quantile, respectively, compared to 1st quantile]. The odds of hypertension reduce among married participants (AOR 0.66, 95%CI: 0.51-0.85). Respondents with overweight (AOR 1.44, 95%CI: 1.02-2.02), khat chewing (AOR3.31, 95%CI: 1.94-5.64), low fruit and/or vegetable consumption (AOR 1.27, 95%CI: 1.05-1.53) and those who do not use coffee and tea (AOR 1.52, 95%CI: 1.03-2.24) had significantly higher likelihood of hypertension. Nearly one out of five participants have hypertension in this population. As hypertension is one of the silent killers, it is advisable to develop a system for enabling early detection and monitoring in the older age groups and overweight individuals. |
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The objective of the study was to assess the prevalence of hypertension and its associated factors among adults residing in Arba Minch health and demographic surveillance site (HDSS), Southern Ethiopia. A community-based cross-sectional survey was conducted in 2017 on the estimated sample size of 3,368 adults at Arba Minch Health and Demographic Surveillance site (HDSS). Data were collected using the WHO STEPS survey tools. Bivariate analysis was done to detect candidate variables at P-value less than 0.25 and entered into the final model to identify the independent predictors of hypertension. The prevalence of hypertension was 18.92% (95% CI: 17.63-20.28). The magnitude increase among respondents in the older age group [AOR 1.39 (95%CI: 1.05-1.84), 1.68 (95% CI: 1.26-2.23) and 2.67 (95%CI: 2.01-3.56) for age group 35-44, 45-54 and 55-64, respectively, compared to 25-34 years old group] and those with the higher wealth index [AOR 1.86 (95%CI: 1.33-2.59), 2.68 (95% CI: 1.91-3.75) and 2.97 (95%CI: 2.08-4.25) for 3rd quantile, 4th quantile and 5th quantile, respectively, compared to 1st quantile]. The odds of hypertension reduce among married participants (AOR 0.66, 95%CI: 0.51-0.85). Respondents with overweight (AOR 1.44, 95%CI: 1.02-2.02), khat chewing (AOR3.31, 95%CI: 1.94-5.64), low fruit and/or vegetable consumption (AOR 1.27, 95%CI: 1.05-1.53) and those who do not use coffee and tea (AOR 1.52, 95%CI: 1.03-2.24) had significantly higher likelihood of hypertension. Nearly one out of five participants have hypertension in this population. As hypertension is one of the silent killers, it is advisable to develop a system for enabling early detection and monitoring in the older age groups and overweight individuals.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0237333</identifier><identifier>PMID: 32776993</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adults ; Age ; Age Factors ; Biology and Life Sciences ; Bivariate analysis ; Blood pressure ; Body weight ; Cardiovascular disease ; Catha - adverse effects ; Chewing ; Coffee ; Collectors ; Cross-Sectional Studies ; Data collection ; Demographic aspects ; Demographics ; Disease prevention ; Distribution ; Ethiopia - epidemiology ; Feeding Behavior ; Female ; Health surveillance ; Households ; Humans ; Hypertension ; Hypertension - epidemiology ; Hypertension - prevention & control ; Male ; Marital Status - statistics & numerical data ; Measurement techniques ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Nursing schools ; Overweight ; Overweight - epidemiology ; Polls & surveys ; Population ; Population Surveillance ; Prevalence ; Public health ; Questionnaires ; Response rates ; Risk analysis ; Risk Factors ; Sample size ; Sociodemographics ; Supervisors ; Surveillance ; Surveys ; Tea ; Vegetables</subject><ispartof>PloS one, 2020-08, Vol.15 (8), p.e0237333-e0237333</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Chuka et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Chuka et al 2020 Chuka et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-9ca53f994f536f215ea2236afeeeac920b41f60400e3259beefe41c122b4697a3</citedby><cites>FETCH-LOGICAL-c692t-9ca53f994f536f215ea2236afeeeac920b41f60400e3259beefe41c122b4697a3</cites><orcidid>0000-0003-0574-6074</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416932/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416932/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32776993$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Nyarko, Samuel H.</contributor><creatorcontrib>Chuka, Adefris</creatorcontrib><creatorcontrib>Gutema, Befikadu Tariku</creatorcontrib><creatorcontrib>Ayele, Gistane</creatorcontrib><creatorcontrib>Megersa, Nega Degefa</creatorcontrib><creatorcontrib>Melketsedik, Zeleke Aschalew</creatorcontrib><creatorcontrib>Zewdie, Tadiwos Hailu</creatorcontrib><title>Prevalence of hypertension and associated factors among adult residents in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Hypertension is the leading risk factor for mortality and it is also one of the major risk factors for other non-communicable diseases (NCDs). The objective of the study was to assess the prevalence of hypertension and its associated factors among adults residing in Arba Minch health and demographic surveillance site (HDSS), Southern Ethiopia. A community-based cross-sectional survey was conducted in 2017 on the estimated sample size of 3,368 adults at Arba Minch Health and Demographic Surveillance site (HDSS). Data were collected using the WHO STEPS survey tools. Bivariate analysis was done to detect candidate variables at P-value less than 0.25 and entered into the final model to identify the independent predictors of hypertension. The prevalence of hypertension was 18.92% (95% CI: 17.63-20.28). The magnitude increase among respondents in the older age group [AOR 1.39 (95%CI: 1.05-1.84), 1.68 (95% CI: 1.26-2.23) and 2.67 (95%CI: 2.01-3.56) for age group 35-44, 45-54 and 55-64, respectively, compared to 25-34 years old group] and those with the higher wealth index [AOR 1.86 (95%CI: 1.33-2.59), 2.68 (95% CI: 1.91-3.75) and 2.97 (95%CI: 2.08-4.25) for 3rd quantile, 4th quantile and 5th quantile, respectively, compared to 1st quantile]. The odds of hypertension reduce among married participants (AOR 0.66, 95%CI: 0.51-0.85). Respondents with overweight (AOR 1.44, 95%CI: 1.02-2.02), khat chewing (AOR3.31, 95%CI: 1.94-5.64), low fruit and/or vegetable consumption (AOR 1.27, 95%CI: 1.05-1.53) and those who do not use coffee and tea (AOR 1.52, 95%CI: 1.03-2.24) had significantly higher likelihood of hypertension. Nearly one out of five participants have hypertension in this population. As hypertension is one of the silent killers, it is advisable to develop a system for enabling early detection and monitoring in the older age groups and overweight individuals.</description><subject>Adult</subject><subject>Adults</subject><subject>Age</subject><subject>Age Factors</subject><subject>Biology and Life Sciences</subject><subject>Bivariate analysis</subject><subject>Blood pressure</subject><subject>Body weight</subject><subject>Cardiovascular disease</subject><subject>Catha - adverse effects</subject><subject>Chewing</subject><subject>Coffee</subject><subject>Collectors</subject><subject>Cross-Sectional Studies</subject><subject>Data collection</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Disease prevention</subject><subject>Distribution</subject><subject>Ethiopia - epidemiology</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Health surveillance</subject><subject>Households</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - prevention & control</subject><subject>Male</subject><subject>Marital Status - statistics & numerical data</subject><subject>Measurement techniques</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nursing schools</subject><subject>Overweight</subject><subject>Overweight - epidemiology</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Population Surveillance</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Response rates</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Sample size</subject><subject>Sociodemographics</subject><subject>Supervisors</subject><subject>Surveillance</subject><subject>Surveys</subject><subject>Tea</subject><subject>Vegetables</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk29v0zAQxiMEYmPwDRBYQkIg0eI_iVO_QZrGYJWGhijw1ro6l8ZTahfbmdjH4Bvjrt3Uor1AeZHo8rvn7OfuiuI5o2Mmavb-0g_BQT9eeYdjykUthHhQHDIl-EhyKh7ufB8UT2K8pLQSEykfFweC17VUShwWf74GvIIenUHiW9JdrzAkdNF6R8A1BGL0xkLChrRgkg-RwNK7BYFm6BMJGG2DLkViHTkOcyBfrDMdOUPoU3ej8BGXfhFg1VlDZkO4Qtv3sC43swnfkZkfUofBkdPUWb-y8LR41EIf8dn2fVT8-HT6_eRsdH7xeXpyfD4yUvE0UgYq0SpVtpWQLWcVAudCQouIYBSn85K1kpaUouCVmiO2WDLDOJ-XUtUgjoqXG91V76Peuhk1LwUvmaoUz8R0QzQeLvUq2CWEa-3B6puADwsNIVnToxaMl5QrI6umKieqVoCGC2MYqyktm3W1D9tqw3yJjcmeBej3RPf_ONvphb_SdclkbmMWeLMVCP7XgDHppY0G116iHzbnnkhRTWhGX_2D3n-7LbXI7dfWtT7XNWtRfSwFZ4yrWmZqfA-VnwaX1uTRa22O7yW83UvITMLfaQFDjHo6-_b_7MXPffb1DtvdzFf0_ZDypMZ9sNyAJvgYA7Z3JjOq15tz64Zeb47ebk5Oe7HboLuk21URfwFzpRS1</recordid><startdate>20200810</startdate><enddate>20200810</enddate><creator>Chuka, Adefris</creator><creator>Gutema, Befikadu Tariku</creator><creator>Ayele, Gistane</creator><creator>Megersa, Nega Degefa</creator><creator>Melketsedik, Zeleke Aschalew</creator><creator>Zewdie, Tadiwos Hailu</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0574-6074</orcidid></search><sort><creationdate>20200810</creationdate><title>Prevalence of hypertension and associated factors among adult residents in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia</title><author>Chuka, Adefris ; Gutema, Befikadu Tariku ; Ayele, Gistane ; Megersa, Nega Degefa ; Melketsedik, Zeleke Aschalew ; Zewdie, Tadiwos Hailu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-9ca53f994f536f215ea2236afeeeac920b41f60400e3259beefe41c122b4697a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Age</topic><topic>Age Factors</topic><topic>Biology and Life Sciences</topic><topic>Bivariate analysis</topic><topic>Blood pressure</topic><topic>Body weight</topic><topic>Cardiovascular disease</topic><topic>Catha - adverse effects</topic><topic>Chewing</topic><topic>Coffee</topic><topic>Collectors</topic><topic>Cross-Sectional Studies</topic><topic>Data collection</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Disease prevention</topic><topic>Distribution</topic><topic>Ethiopia - epidemiology</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Health surveillance</topic><topic>Households</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - epidemiology</topic><topic>Hypertension - prevention & control</topic><topic>Male</topic><topic>Marital Status - statistics & numerical data</topic><topic>Measurement techniques</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Nursing schools</topic><topic>Overweight</topic><topic>Overweight - epidemiology</topic><topic>Polls & surveys</topic><topic>Population</topic><topic>Population Surveillance</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Response rates</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Sample size</topic><topic>Sociodemographics</topic><topic>Supervisors</topic><topic>Surveillance</topic><topic>Surveys</topic><topic>Tea</topic><topic>Vegetables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chuka, Adefris</creatorcontrib><creatorcontrib>Gutema, Befikadu Tariku</creatorcontrib><creatorcontrib>Ayele, Gistane</creatorcontrib><creatorcontrib>Megersa, Nega Degefa</creatorcontrib><creatorcontrib>Melketsedik, Zeleke Aschalew</creatorcontrib><creatorcontrib>Zewdie, Tadiwos Hailu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chuka, Adefris</au><au>Gutema, Befikadu Tariku</au><au>Ayele, Gistane</au><au>Megersa, Nega Degefa</au><au>Melketsedik, Zeleke Aschalew</au><au>Zewdie, Tadiwos Hailu</au><au>Nyarko, Samuel H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of hypertension and associated factors among adult residents in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-08-10</date><risdate>2020</risdate><volume>15</volume><issue>8</issue><spage>e0237333</spage><epage>e0237333</epage><pages>e0237333-e0237333</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Hypertension is the leading risk factor for mortality and it is also one of the major risk factors for other non-communicable diseases (NCDs). The objective of the study was to assess the prevalence of hypertension and its associated factors among adults residing in Arba Minch health and demographic surveillance site (HDSS), Southern Ethiopia. A community-based cross-sectional survey was conducted in 2017 on the estimated sample size of 3,368 adults at Arba Minch Health and Demographic Surveillance site (HDSS). Data were collected using the WHO STEPS survey tools. Bivariate analysis was done to detect candidate variables at P-value less than 0.25 and entered into the final model to identify the independent predictors of hypertension. The prevalence of hypertension was 18.92% (95% CI: 17.63-20.28). The magnitude increase among respondents in the older age group [AOR 1.39 (95%CI: 1.05-1.84), 1.68 (95% CI: 1.26-2.23) and 2.67 (95%CI: 2.01-3.56) for age group 35-44, 45-54 and 55-64, respectively, compared to 25-34 years old group] and those with the higher wealth index [AOR 1.86 (95%CI: 1.33-2.59), 2.68 (95% CI: 1.91-3.75) and 2.97 (95%CI: 2.08-4.25) for 3rd quantile, 4th quantile and 5th quantile, respectively, compared to 1st quantile]. The odds of hypertension reduce among married participants (AOR 0.66, 95%CI: 0.51-0.85). Respondents with overweight (AOR 1.44, 95%CI: 1.02-2.02), khat chewing (AOR3.31, 95%CI: 1.94-5.64), low fruit and/or vegetable consumption (AOR 1.27, 95%CI: 1.05-1.53) and those who do not use coffee and tea (AOR 1.52, 95%CI: 1.03-2.24) had significantly higher likelihood of hypertension. Nearly one out of five participants have hypertension in this population. As hypertension is one of the silent killers, it is advisable to develop a system for enabling early detection and monitoring in the older age groups and overweight individuals.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32776993</pmid><doi>10.1371/journal.pone.0237333</doi><tpages>e0237333</tpages><orcidid>https://orcid.org/0000-0003-0574-6074</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1932-6203 |
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issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adult Adults Age Age Factors Biology and Life Sciences Bivariate analysis Blood pressure Body weight Cardiovascular disease Catha - adverse effects Chewing Coffee Collectors Cross-Sectional Studies Data collection Demographic aspects Demographics Disease prevention Distribution Ethiopia - epidemiology Feeding Behavior Female Health surveillance Households Humans Hypertension Hypertension - epidemiology Hypertension - prevention & control Male Marital Status - statistics & numerical data Measurement techniques Medicine and Health Sciences Middle Aged Mortality Nursing schools Overweight Overweight - epidemiology Polls & surveys Population Population Surveillance Prevalence Public health Questionnaires Response rates Risk analysis Risk Factors Sample size Sociodemographics Supervisors Surveillance Surveys Tea Vegetables |
title | Prevalence of hypertension and associated factors among adult residents in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia |
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