Prevalence and predictors of white-coat hypertension in a large database of ambulatory blood pressure monitoring.
Identifieur interne : 000737 ( PubMed/Corpus ); précédent : 000736; suivant : 000738Prevalence and predictors of white-coat hypertension in a large database of ambulatory blood pressure monitoring.
Auteurs : S. Abir-Khalil ; S. Zaîmi ; M A Tazi ; S. Bendahmane ; O. Bensaoud ; M. BenomarSource :
- Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit [ 1020-3397 ]
English descriptors
- KwdEn :
- Bias (MeSH), Blood Pressure Monitoring, Ambulatory (methods), Chi-Square Distribution (MeSH), Databases, Factual (MeSH), Female (MeSH), Hospitals, Teaching (MeSH), Humans (MeSH), Hypertension (diagnosis), Hypertension (epidemiology), Hypertension (etiology), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Morocco (epidemiology), Multivariate Analysis (MeSH), Office Visits (MeSH), Prevalence (MeSH), Risk Factors (MeSH), Severity of Illness Index (MeSH), Sex Distribution (MeSH).
- MESH :
- diagnosis : Hypertension.
- epidemiology : Hypertension, Morocco.
- etiology : Hypertension.
- methods : Blood Pressure Monitoring, Ambulatory.
- Bias, Chi-Square Distribution, Databases, Factual, Female, Hospitals, Teaching, Humans, Logistic Models, Male, Middle Aged, Multivariate Analysis, Office Visits, Prevalence, Risk Factors, Severity of Illness Index, Sex Distribution.
Abstract
The objective of this study was to determine both the prevalence of white-coat effect and white-coat hypertension (WCH) and which selected clinical variables were predictors of WCH. A total of 2462 patients underwent ambulatory blood pressure monitoring either in borderline hypertension (group 1) or for assessment of antihypertensive treatment (group 2) or for hypotension (group 3). In the overall population 33.0% of patients showed WCH, 32.8% in group 1 and 37.0% in group 2. In multivariate analysis, sex and grade of hypertension were independent predictors of WCH in groups 1 and 2.
PubMed: 19554987
Links to Exploration step
pubmed:19554987Le document en format XML
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Bendahmane</name></author><author><name sortKey="Bensaoud, O" sort="Bensaoud, O" uniqKey="Bensaoud O" first="O" last="Bensaoud">O. Bensaoud</name></author><author><name sortKey="Benomar, M" sort="Benomar, M" uniqKey="Benomar M" first="M" last="Benomar">M. Benomar</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2009">2009 Mar-Apr</date><idno type="RBID">pubmed:19554987</idno><idno type="pmid">19554987</idno><idno type="wicri:Area/PubMed/Corpus">000737</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000737</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Prevalence and predictors of white-coat hypertension in a large database of ambulatory blood pressure monitoring.</title><author><name sortKey="Abir Khalil, S" sort="Abir Khalil, S" uniqKey="Abir Khalil S" first="S" last="Abir-Khalil">S. Abir-Khalil</name><affiliation><nlm:affiliation>Moroccan League for the Control of Cardiovascular Diseases, Department of Cardiology, Avicenne Hospital, Rabat, Morocco. sadabir@hotmail.com</nlm:affiliation></affiliation></author><author><name sortKey="Zaimi, S" sort="Zaimi, S" uniqKey="Zaimi S" first="S" last="Zaîmi">S. Zaîmi</name></author><author><name sortKey="Tazi, M A" sort="Tazi, M A" uniqKey="Tazi M" first="M A" last="Tazi">M A Tazi</name></author><author><name sortKey="Bendahmane, S" sort="Bendahmane, S" uniqKey="Bendahmane S" first="S" last="Bendahmane">S. Bendahmane</name></author><author><name sortKey="Bensaoud, O" sort="Bensaoud, O" uniqKey="Bensaoud O" first="O" last="Bensaoud">O. Bensaoud</name></author><author><name sortKey="Benomar, M" sort="Benomar, M" uniqKey="Benomar M" first="M" last="Benomar">M. Benomar</name></author></analytic><series><title level="j">Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit</title><idno type="ISSN">1020-3397</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bias (MeSH)</term><term>Blood Pressure Monitoring, Ambulatory (methods)</term><term>Chi-Square Distribution (MeSH)</term><term>Databases, Factual (MeSH)</term><term>Female (MeSH)</term><term>Hospitals, Teaching (MeSH)</term><term>Humans (MeSH)</term><term>Hypertension (diagnosis)</term><term>Hypertension (epidemiology)</term><term>Hypertension (etiology)</term><term>Logistic Models (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Morocco (epidemiology)</term><term>Multivariate Analysis (MeSH)</term><term>Office Visits (MeSH)</term><term>Prevalence (MeSH)</term><term>Risk Factors (MeSH)</term><term>Severity of Illness Index (MeSH)</term><term>Sex Distribution (MeSH)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Hypertension</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Hypertension</term><term>Morocco</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Hypertension</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Blood Pressure Monitoring, Ambulatory</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Bias</term><term>Chi-Square Distribution</term><term>Databases, Factual</term><term>Female</term><term>Hospitals, Teaching</term><term>Humans</term><term>Logistic Models</term><term>Male</term><term>Middle Aged</term><term>Multivariate Analysis</term><term>Office Visits</term><term>Prevalence</term><term>Risk Factors</term><term>Severity of Illness Index</term><term>Sex Distribution</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The objective of this study was to determine both the prevalence of white-coat effect and white-coat hypertension (WCH) and which selected clinical variables were predictors of WCH. A total of 2462 patients underwent ambulatory blood pressure monitoring either in borderline hypertension (group 1) or for assessment of antihypertensive treatment (group 2) or for hypotension (group 3). In the overall population 33.0% of patients showed WCH, 32.8% in group 1 and 37.0% in group 2. In multivariate analysis, sex and grade of hypertension were independent predictors of WCH in groups 1 and 2.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">19554987</PMID><DateCompleted><Year>2009</Year><Month>08</Month><Day>07</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1020-3397</ISSN><JournalIssue CitedMedium="Print"><Volume>15</Volume><Issue>2</Issue><PubDate><MedlineDate>2009 Mar-Apr</MedlineDate></PubDate></JournalIssue><Title>Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit</Title><ISOAbbreviation>East Mediterr Health J</ISOAbbreviation></Journal><ArticleTitle>Prevalence and predictors of white-coat hypertension in a large database of ambulatory blood pressure monitoring.</ArticleTitle><Pagination><MedlinePgn>400-7</MedlinePgn></Pagination><Abstract><AbstractText>The objective of this study was to determine both the prevalence of white-coat effect and white-coat hypertension (WCH) and which selected clinical variables were predictors of WCH. A total of 2462 patients underwent ambulatory blood pressure monitoring either in borderline hypertension (group 1) or for assessment of antihypertensive treatment (group 2) or for hypotension (group 3). In the overall population 33.0% of patients showed WCH, 32.8% in group 1 and 37.0% in group 2. In multivariate analysis, sex and grade of hypertension were independent predictors of WCH in groups 1 and 2.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Abir-Khalil</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Moroccan League for the Control of Cardiovascular Diseases, Department of Cardiology, Avicenne Hospital, Rabat, Morocco. sadabir@hotmail.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zaîmi</LastName><ForeName>S</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Tazi</LastName><ForeName>M A</ForeName><Initials>MA</Initials></Author><Author ValidYN="Y"><LastName>Bendahmane</LastName><ForeName>S</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Bensaoud</LastName><ForeName>O</ForeName><Initials>O</Initials></Author><Author ValidYN="Y"><LastName>Benomar</LastName><ForeName>M</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Egypt</Country><MedlineTA>East Mediterr Health J</MedlineTA><NlmUniqueID>9608387</NlmUniqueID><ISSNLinking>1020-3397</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D015982" MajorTopicYN="N">Bias</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018660" MajorTopicYN="Y">Blood Pressure Monitoring, Ambulatory</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016009" MajorTopicYN="N">Chi-Square Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="N">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006784" MajorTopicYN="N">Hospitals, Teaching</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006973" MajorTopicYN="N">Hypertension</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009018" MajorTopicYN="N">Morocco</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009819" MajorTopicYN="Y">Office Visits</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012720" MajorTopicYN="N">Severity of Illness Index</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2009</Year><Month>6</Month><Day>27</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2009</Year><Month>6</Month><Day>27</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2009</Year><Month>8</Month><Day>8</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">19554987</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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