Body Mass Index and Waist Circumference in Patients with HIV in South Africa and Associated Socio-demographic, Health Related and Psychosocial Factors.
Identifieur interne : 000820 ( PubMed/Curation ); précédent : 000819; suivant : 000821Body Mass Index and Waist Circumference in Patients with HIV in South Africa and Associated Socio-demographic, Health Related and Psychosocial Factors.
Auteurs : Diana Huis In T Veld [Belgique] ; Supa Pengpid [Thaïlande] ; Robert Colebunders [Belgique] ; Karl Peltzer [Thaïlande]Source :
- AIDS and behavior [ 1573-3254 ] ; 2017.
Abstract
A high body mass index (BMI) and high waist circumference are important health risk factors predisposing for cardiovascular and metabolic diseases and certain cancers. Historically, underweight was a diagnostic criterion of HIV-infection. In a cross-sectional study the prevalence of BMI-categories and high waist circumference and its associated factors in patients visiting three outpatient HIV clinics in South Africa were measured with anthropometric measurements and structured questionnaires regarding socio-demographic information, quality of life (QoL), AIDS-related stigma, symptoms of depression, alcohol use, HIV related information and level of adherence to ART. The median age of the 2230 included patients was 37 years, 66.5% were women and 88.6% received antiretroviral therapy. The prevalences of overweight, obesity and high waist circumference were 29.2, 21.9 and 44.6% respectively in women and 12.4, 4.0 and 3.9% respectively in men. Underweight was found in 18.2% of men and 6.3% of women. In multinomial regression analysis compared to a normal BMI, both overweight and obesity were associated with female gender, with being married or cohabiting and with a higher QoL score. Underweight was associated with male gender and tobacco use and negatively associated with being married or cohabiting and the physical domain of the QoL measure. A high waist circumference in men was associated with higher age and negatively associated with tobacco use and stigma score. In women it was negatively associated with never being married. A high prevalence of overweight and obesity was observed in HIV-clinics in South Africa, mainly in women. Since overweight and obesity are important health risk factors, effective weight reduction interventions are desirable.
DOI: 10.1007/s10461-017-1737-2
PubMed: 28243935
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type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A high body mass index (BMI) and high waist circumference are important health risk factors predisposing for cardiovascular and metabolic diseases and certain cancers. Historically, underweight was a diagnostic criterion of HIV-infection. In a cross-sectional study the prevalence of BMI-categories and high waist circumference and its associated factors in patients visiting three outpatient HIV clinics in South Africa were measured with anthropometric measurements and structured questionnaires regarding socio-demographic information, quality of life (QoL), AIDS-related stigma, symptoms of depression, alcohol use, HIV related information and level of adherence to ART. The median age of the 2230 included patients was 37 years, 66.5% were women and 88.6% received antiretroviral therapy. The prevalences of overweight, obesity and high waist circumference were 29.2, 21.9 and 44.6% respectively in women and 12.4, 4.0 and 3.9% respectively in men. Underweight was found in 18.2% of men and 6.3% of women. In multinomial regression analysis compared to a normal BMI, both overweight and obesity were associated with female gender, with being married or cohabiting and with a higher QoL score. Underweight was associated with male gender and tobacco use and negatively associated with being married or cohabiting and the physical domain of the QoL measure. A high waist circumference in men was associated with higher age and negatively associated with tobacco use and stigma score. In women it was negatively associated with never being married. A high prevalence of overweight and obesity was observed in HIV-clinics in South Africa, mainly in women. Since overweight and obesity are important health risk factors, effective weight reduction interventions are desirable.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">28243935</PMID><DateCreated><Year>2017</Year><Month>02</Month><Day>28</Day></DateCreated><DateRevised><Year>2017</Year><Month>02</Month><Day>28</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1573-3254</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2017</Year><Month>Feb</Month><Day>27</Day></PubDate></JournalIssue><Title>AIDS and behavior</Title><ISOAbbreviation>AIDS Behav</ISOAbbreviation></Journal><ArticleTitle>Body Mass Index and Waist Circumference in Patients with HIV in South Africa and Associated Socio-demographic, Health Related and Psychosocial Factors.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1007/s10461-017-1737-2</ELocationID><Abstract><AbstractText>A high body mass index (BMI) and high waist circumference are important health risk factors predisposing for cardiovascular and metabolic diseases and certain cancers. Historically, underweight was a diagnostic criterion of HIV-infection. In a cross-sectional study the prevalence of BMI-categories and high waist circumference and its associated factors in patients visiting three outpatient HIV clinics in South Africa were measured with anthropometric measurements and structured questionnaires regarding socio-demographic information, quality of life (QoL), AIDS-related stigma, symptoms of depression, alcohol use, HIV related information and level of adherence to ART. The median age of the 2230 included patients was 37 years, 66.5% were women and 88.6% received antiretroviral therapy. The prevalences of overweight, obesity and high waist circumference were 29.2, 21.9 and 44.6% respectively in women and 12.4, 4.0 and 3.9% respectively in men. Underweight was found in 18.2% of men and 6.3% of women. In multinomial regression analysis compared to a normal BMI, both overweight and obesity were associated with female gender, with being married or cohabiting and with a higher QoL score. Underweight was associated with male gender and tobacco use and negatively associated with being married or cohabiting and the physical domain of the QoL measure. A high waist circumference in men was associated with higher age and negatively associated with tobacco use and stigma score. In women it was negatively associated with never being married. A high prevalence of overweight and obesity was observed in HIV-clinics in South Africa, mainly in women. Since overweight and obesity are important health risk factors, effective weight reduction interventions are desirable.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Huis In 't Veld</LastName><ForeName>Diana</ForeName><Initials>D</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-5806-4352</Identifier><AffiliationInfo><Affiliation>Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium. diana.huisintveld@uzgent.be.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>FWO Research Foundation Flanders, Brussels, Belgium. diana.huisintveld@uzgent.be.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium. diana.huisintveld@uzgent.be.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Algemeen inwendige geneeskunde, De Pintelaan 185, 9000, Ghent, Belgium. diana.huisintveld@uzgent.be.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pengpid</LastName><ForeName>Supa</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>ASEAN Institute for Health Development, Mahidol University, Nakhonpathom, Thailand.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Research and Innovation, University of Limpopo, Sovenga, South Africa.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Colebunders</LastName><ForeName>Robert</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Peltzer</LastName><ForeName>Karl</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>ASEAN Institute for Health Development, Mahidol University, Nakhonpathom, Thailand.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>HIV/AIDS, STIs & TB (HAST) Research Programme, Human Sciences Research Council, Pretoria, South Africa.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Psychology, University of Limpopo, Sovenga, South Africa.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>02</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>AIDS Behav</MedlineTA><NlmUniqueID>9712133</NlmUniqueID><ISSNLinking>1090-7165</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">BMI</Keyword><Keyword MajorTopicYN="N">HIV</Keyword><Keyword MajorTopicYN="N">Psychosocial socio-demographic health related factors</Keyword><Keyword MajorTopicYN="N">South Africa</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>3</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>3</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>3</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28243935</ArticleId><ArticleId IdType="doi">10.1007/s10461-017-1737-2</ArticleId><ArticleId IdType="pii">10.1007/s10461-017-1737-2</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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