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dc.contributor.authorLi, Xin
dc.contributor.authorZheng, Liang
dc.contributor.authorWu, Juanli
dc.contributor.authorMa, Yunsheng
dc.contributor.authorMasanori, Munakata
dc.contributor.authorOleski, Jessica L.
dc.contributor.authorZhang, Lijuan
dc.contributor.authorWo, Da
dc.contributor.authorWang, Jingsong
dc.contributor.authorJiang, Qiaoyu
dc.contributor.authorZou, Liling
dc.contributor.authorLiu, Xuebo
dc.contributor.authorLi, Jue
dc.date2022-08-11T08:10:21.000
dc.date.accessioned2022-08-23T17:05:37Z
dc.date.available2022-08-23T17:05:37Z
dc.date.issued2014-09-06
dc.date.submitted2015-02-23
dc.identifier.citationChin Med J (Engl). 2014;127(17):3116-20. <a href="http://www.ecmj.org.cn/ch/reader/view_abstract.aspx?file_no=20140839&flag=1" target="_blank">Link to article on publisher's website</a>
dc.identifier.issn0366-6999 (Linking)
dc.identifier.pmid25189956
dc.identifier.urihttp://hdl.handle.net/20.500.14038/44899
dc.description.abstractBACKGROUND: The prevalence of metabolic syndrome (MetS) increased recently and there was still not a screening index to predict MetS. The aim of this study was to estimate whether brachial-ankle pulse wave velocity (baPWV), a novel marker for systemic arterial stiffness, could predict MetS in Chinese community population. METHODS: A total of 2 191 participants were recruited and underwent medical examination including 1 455 men and 756 women from June 2011 to January 2012. MetS was diagnosed according to the criteria of the International Diabetes Federation (IDF). Multiple Logistic regressions were conducted to explore the risk factors of MetS. Receiver operating characteristic (ROC) curve was performed to estimate the ideal diagnostic cutoff point of baPWV to predict MetS. RESULTS: The mean age was (45.35+/-8.27) years old. In multiple Logistic regression analysis, the gender, baPWV and smoking status were risk factors to MetS after adjusting age, gender, baPWV, walk time and sleeping time. The prevalence of MetS was 17.48% in 30-year age population in Shanghai. There were significant differences (chi(2) = 96.46, P < 0.05) between male and female participants on MetS prevalence. According to the ROC analyses, the ideal cutoff point of baPWV was 1 358.50 cm/s (AUC = 60.20%) to predict MetS among male group and 1 350.00 cm/s (AUC = 70.90%) among female group. CONCLUSION: BaPWV may be considered as a screening marker to predict MetS in community Chinese population and the diagnostic value of 1 350.00 cm/s was more significant for the female group.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=25189956&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://www.ecmj.org.cn/ch/reader/view_abstract.aspx?file_no=20140839&flag=1
dc.rightsPublisher PDF posted as allowed by the publisher's author rights policy at http://www.medknow.com/policies.asp?sj=chinese+medical+journal&sin=Jonmoqdrq&subject=&index=.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subjectbrachial-ankle pulse wave velocity
dc.subjectmetabolic syndrome
dc.subjectreceiver operating characteristic curve
dc.subjectBehavioral Disciplines and Activities
dc.subjectBehavior and Behavior Mechanisms
dc.subjectCommunity Health and Preventive Medicine
dc.subjectDiagnosis
dc.subjectNutritional and Metabolic Diseases
dc.subjectPreventive Medicine
dc.titleCan we early diagnose metabolic syndrome using brachial-ankle pulse wave velocity in community population
dc.typeArticle
dc.source.journaltitleChinese medical journal
dc.source.volume127
dc.source.issue17
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1331&amp;context=prevbeh_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/prevbeh_pp/332
dc.identifier.contextkey6710808
refterms.dateFOA2022-08-23T17:05:37Z
html.description.abstract<p>BACKGROUND: The prevalence of metabolic syndrome (MetS) increased recently and there was still not a screening index to predict MetS. The aim of this study was to estimate whether brachial-ankle pulse wave velocity (baPWV), a novel marker for systemic arterial stiffness, could predict MetS in Chinese community population.</p> <p>METHODS: A total of 2 191 participants were recruited and underwent medical examination including 1 455 men and 756 women from June 2011 to January 2012. MetS was diagnosed according to the criteria of the International Diabetes Federation (IDF). Multiple Logistic regressions were conducted to explore the risk factors of MetS. Receiver operating characteristic (ROC) curve was performed to estimate the ideal diagnostic cutoff point of baPWV to predict MetS.</p> <p>RESULTS: The mean age was (45.35+/-8.27) years old. In multiple Logistic regression analysis, the gender, baPWV and smoking status were risk factors to MetS after adjusting age, gender, baPWV, walk time and sleeping time. The prevalence of MetS was 17.48% in 30-year age population in Shanghai. There were significant differences (chi(2) = 96.46, P < 0.05) between male and female participants on MetS prevalence. According to the ROC analyses, the ideal cutoff point of baPWV was 1 358.50 cm/s (AUC = 60.20%) to predict MetS among male group and 1 350.00 cm/s (AUC = 70.90%) among female group.</p> <p>CONCLUSION: BaPWV may be considered as a screening marker to predict MetS in community Chinese population and the diagnostic value of 1 350.00 cm/s was more significant for the female group.</p>
dc.identifier.submissionpathprevbeh_pp/332
dc.contributor.departmentDepartment of Medicine, Division of Preventive and Behavioral Medicine
dc.source.pages3116-20


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