Epidemiology and awareness of hypertension in a rural Ugandan community: a cross-sectional study.
Identifieur interne : 001730 ( PubMed/Corpus ); précédent : 001729; suivant : 001731Epidemiology and awareness of hypertension in a rural Ugandan community: a cross-sectional study.
Auteurs : Prashant Kotwani ; Dalsone Kwarisiima ; Tamara D. Clark ; Jane Kabami ; Elvin H. Geng ; Vivek Jain ; Gabriel Chamie ; Maya L. Petersen ; Harsha Thirumurthy ; Moses R. Kamya ; Edwin D. Charlebois ; Diane V. HavlirSource :
- BMC public health [ 1471-2458 ] ; 2013.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Distribution, Cross-Sectional Studies, Female, Health Knowledge, Attitudes, Practice, Humans, Hypertension (epidemiology), Hypertension (therapy), Male, Middle Aged, Models, Statistical, Patient Acceptance of Health Care (statistics & numerical data), Poisson Distribution, Prevalence, Regression Analysis, Risk Factors, Rural Health (statistics & numerical data), Sex Distribution, Uganda (epidemiology), Young Adult.
- MESH :
- geographic , epidemiology : Uganda.
- epidemiology : Hypertension.
- statistics & numerical data : Patient Acceptance of Health Care, Rural Health.
- therapy : Hypertension.
- Adolescent, Adult, Age Distribution, Cross-Sectional Studies, Female, Health Knowledge, Attitudes, Practice, Humans, Male, Middle Aged, Models, Statistical, Poisson Distribution, Prevalence, Regression Analysis, Risk Factors, Sex Distribution, Young Adult.
Abstract
Hypertension is one of the largest causes of preventable morbidity and mortality worldwide. There are few population-based studies on hypertension epidemiology to guide public health strategies in sub-Saharan Africa. Using a community-based strategy that integrated screening for HIV and non-communicable diseases, we determined the prevalence, awareness, treatment rates, and sociodemographic factors associated with hypertension in rural Uganda.
DOI: 10.1186/1471-2458-13-1151
PubMed: 24321133
Links to Exploration step
pubmed:24321133Le document en format XML
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Geng</name></author><author><name sortKey="Jain, Vivek" sort="Jain, Vivek" uniqKey="Jain V" first="Vivek" last="Jain">Vivek Jain</name></author><author><name sortKey="Chamie, Gabriel" sort="Chamie, Gabriel" uniqKey="Chamie G" first="Gabriel" last="Chamie">Gabriel Chamie</name></author><author><name sortKey="Petersen, Maya L" sort="Petersen, Maya L" uniqKey="Petersen M" first="Maya L" last="Petersen">Maya L. Petersen</name></author><author><name sortKey="Thirumurthy, Harsha" sort="Thirumurthy, Harsha" uniqKey="Thirumurthy H" first="Harsha" last="Thirumurthy">Harsha Thirumurthy</name></author><author><name sortKey="Kamya, Moses R" sort="Kamya, Moses R" uniqKey="Kamya M" first="Moses R" last="Kamya">Moses R. Kamya</name></author><author><name sortKey="Charlebois, Edwin D" sort="Charlebois, Edwin D" uniqKey="Charlebois E" first="Edwin D" last="Charlebois">Edwin D. 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Clark</name></author><author><name sortKey="Kabami, Jane" sort="Kabami, Jane" uniqKey="Kabami J" first="Jane" last="Kabami">Jane Kabami</name></author><author><name sortKey="Geng, Elvin H" sort="Geng, Elvin H" uniqKey="Geng E" first="Elvin H" last="Geng">Elvin H. Geng</name></author><author><name sortKey="Jain, Vivek" sort="Jain, Vivek" uniqKey="Jain V" first="Vivek" last="Jain">Vivek Jain</name></author><author><name sortKey="Chamie, Gabriel" sort="Chamie, Gabriel" uniqKey="Chamie G" first="Gabriel" last="Chamie">Gabriel Chamie</name></author><author><name sortKey="Petersen, Maya L" sort="Petersen, Maya L" uniqKey="Petersen M" first="Maya L" last="Petersen">Maya L. Petersen</name></author><author><name sortKey="Thirumurthy, Harsha" sort="Thirumurthy, Harsha" uniqKey="Thirumurthy H" first="Harsha" last="Thirumurthy">Harsha Thirumurthy</name></author><author><name sortKey="Kamya, Moses R" sort="Kamya, Moses R" uniqKey="Kamya M" first="Moses R" last="Kamya">Moses R. Kamya</name></author><author><name sortKey="Charlebois, Edwin D" sort="Charlebois, Edwin D" uniqKey="Charlebois E" first="Edwin D" last="Charlebois">Edwin D. Charlebois</name></author><author><name sortKey="Havlir, Diane V" sort="Havlir, Diane V" uniqKey="Havlir D" first="Diane V" last="Havlir">Diane V. Havlir</name><affiliation><nlm:affiliation>HIV/AIDS Division, Department of Medicine, San Francisco General Hospital, University of California San Francisco, 995 Potrero Avenue, UCSF Box 0874, San Francisco, California 94110, USA. dhavlir@php.ucsf.edu.</nlm:affiliation></affiliation></author></analytic><series><title level="j">BMC public health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Cross-Sectional Studies</term><term>Female</term><term>Health Knowledge, Attitudes, Practice</term><term>Humans</term><term>Hypertension (epidemiology)</term><term>Hypertension (therapy)</term><term>Male</term><term>Middle Aged</term><term>Models, Statistical</term><term>Patient Acceptance of Health Care (statistics & numerical data)</term><term>Poisson Distribution</term><term>Prevalence</term><term>Regression Analysis</term><term>Risk Factors</term><term>Rural Health (statistics & numerical data)</term><term>Sex Distribution</term><term>Uganda (epidemiology)</term><term>Young Adult</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Uganda</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Hypertension</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Patient Acceptance of Health Care</term><term>Rural Health</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Hypertension</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Cross-Sectional Studies</term><term>Female</term><term>Health Knowledge, Attitudes, Practice</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Models, Statistical</term><term>Poisson Distribution</term><term>Prevalence</term><term>Regression Analysis</term><term>Risk Factors</term><term>Sex Distribution</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Hypertension is one of the largest causes of preventable morbidity and mortality worldwide. There are few population-based studies on hypertension epidemiology to guide public health strategies in sub-Saharan Africa. Using a community-based strategy that integrated screening for HIV and non-communicable diseases, we determined the prevalence, awareness, treatment rates, and sociodemographic factors associated with hypertension in rural Uganda.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24321133</PMID><DateCreated><Year>2014</Year><Month>01</Month><Day>13</Day></DateCreated><DateCompleted><Year>2014</Year><Month>03</Month><Day>21</Day></DateCompleted><DateRevised><Year>2016</Year><Month>10</Month><Day>25</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>13</Volume><PubDate><Year>2013</Year><Month>Dec</Month><Day>09</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Epidemiology and awareness of hypertension in a rural Ugandan community: a cross-sectional study.</ArticleTitle><Pagination><MedlinePgn>1151</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2458-13-1151</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Hypertension is one of the largest causes of preventable morbidity and mortality worldwide. There are few population-based studies on hypertension epidemiology to guide public health strategies in sub-Saharan Africa. Using a community-based strategy that integrated screening for HIV and non-communicable diseases, we determined the prevalence, awareness, treatment rates, and sociodemographic factors associated with hypertension in rural Uganda.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A household census was performed to enumerate the population in Kakyerere parish in Mbarara district, Uganda. A multi-disease community-based screening campaign for hypertension, diabetes, and HIV was then conducted. During the campaign, all adults received a blood pressure (BP) measurement and completed a survey examining sociodemographic factors. Hypertension was defined as elevated BP (≥ 140/≥ 90 mmHg) on the lowest of three BP measurements or current use of antihypertensives. Prevalence was calculated and standardized to age distribution. Sociodemographic factors associated with hypertension were evaluated using a log-link Poisson regression model with robust standard errors.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Community participation in the screening campaign was 65%, including 1245 women and 1007 men. The prevalence of hypertension was 14.6%; awareness of diagnosis (38.1%) and current receipt of treatment (20.6%) were both low. Age-standardized to the WHO world standard population, hypertension prevalence was 19.8%, which is comparable to 21.6% in the US and 18.4% in the UK. Sociodemographic factors associated with hypertension included increasing age, male gender, overweight, obesity, diabetes, alcohol consumption, and family history. Prevalence of modifiable factors was high: 28.3% women were overweight/obese and 24.1% men consumed ≥ 10 alcoholic drinks per month.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">We found a substantial burden of hypertension in rural Uganda. Awareness and treatment of hypertension is low in this region. Enhanced community-based education and prevention efforts tailored to addressing modifiable factors are needed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kotwani</LastName><ForeName>Prashant</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Kwarisiima</LastName><ForeName>Dalsone</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Clark</LastName><ForeName>Tamara D</ForeName><Initials>TD</Initials></Author><Author ValidYN="Y"><LastName>Kabami</LastName><ForeName>Jane</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Geng</LastName><ForeName>Elvin H</ForeName><Initials>EH</Initials></Author><Author ValidYN="Y"><LastName>Jain</LastName><ForeName>Vivek</ForeName><Initials>V</Initials></Author><Author ValidYN="Y"><LastName>Chamie</LastName><ForeName>Gabriel</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Petersen</LastName><ForeName>Maya L</ForeName><Initials>ML</Initials></Author><Author ValidYN="Y"><LastName>Thirumurthy</LastName><ForeName>Harsha</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Kamya</LastName><ForeName>Moses R</ForeName><Initials>MR</Initials></Author><Author ValidYN="Y"><LastName>Charlebois</LastName><ForeName>Edwin D</ForeName><Initials>ED</Initials></Author><Author ValidYN="Y"><LastName>Havlir</LastName><ForeName>Diane V</ForeName><Initials>DV</Initials><AffiliationInfo><Affiliation>HIV/AIDS Division, Department of Medicine, San Francisco General Hospital, University of California San Francisco, 995 Potrero Avenue, UCSF Box 0874, San Francisco, California 94110, USA. dhavlir@php.ucsf.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>SEARCH Collaboration</CollectiveName></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>P30 AI027763</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R24 HD050924</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 AI069502</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 AI099959</GrantID><Acronym>AI</Acronym><Agency>NIAID NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>12</Month><Day>09</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Public Health</MedlineTA><NlmUniqueID>100968562</NlmUniqueID><ISSNLinking>1471-2458</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Lancet. 2002 Nov 2;360(9343):1347-60</RefSource><PMID 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MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010342" MajorTopicYN="N">Patient Acceptance of Health Care</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016012" MajorTopicYN="N">Poisson Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012423" MajorTopicYN="N">Rural Health</DescriptorName><QualifierName 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