Publication:
Neck circumference as a predictor of metabolic syndrome: A cross-sectional study

dc.contributor.authorIssarayus Laohabuten_US
dc.contributor.authorKamol Udolen_US
dc.contributor.authorPochamana Phisalprapaen_US
dc.contributor.authorWeerachai Srivanichakornen_US
dc.contributor.authorThanet Chaisathapholen_US
dc.contributor.authorChaiwat Washirasaksirien_US
dc.contributor.authorTullaya Sitasuwanen_US
dc.contributor.authorCharoen Chouriyaguneen_US
dc.contributor.authorChonticha Auesomwangen_US
dc.contributor.otherFaculty of Medicine, Siriraj Hospital, Mahidol Universityen_US
dc.date.accessioned2020-01-27T10:25:02Z
dc.date.available2020-01-27T10:25:02Z
dc.date.issued2019-01-01en_US
dc.description.abstract© 2019 Primary Care Diabetes Europe Background: Data relating to the association between neck circumference (NC) and metabolic syndrome (MetS) in Southeast Asian population are scarce. Aims: We aimed to investigate association between NC and MetS in Thai adults, and to determine gender-specific NC cutoff values for predicting MetS. Methods: This cross-sectional study enrolled patients aged ≥18 years that attended the health examination center at Siriraj Hospital (Bangkok, Thailand) during February 2016 to January 2017. Demographic, clinical, anthropometric data, and biochemical investigations for diagnosing MetS were collected. Results: 390 patients (age 35.5 ± 9.7 years with range 20–73 years; 81.3% women) were included. Mean NC was significantly higher in MetS than in non-MetS (p < 0.001). Receiver operating characteristic curve analysis revealed NC ≥38 cm and ≥33 cm to be the optimal cutoff points for MetS in men and women, respectively. Body mass index and anthropometric indices were positively correlated with NC in both men and women. Among women, all components of MetS were significantly associated with NC. Conclusions: Using the identified gender-specific cutoff values, NC is a useful tool for predicting MetS in Thais. NC was found to be well-correlated with almost all of the metabolic risk factors, anthropometric indices, and MetS components evaluated in this study.en_US
dc.identifier.citationPrimary Care Diabetes. (2019)en_US
dc.identifier.doi10.1016/j.pcd.2019.08.007en_US
dc.identifier.issn18780210en_US
dc.identifier.issn17519918en_US
dc.identifier.other2-s2.0-85072182453en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/52173
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072182453&origin=inwarden_US
dc.subjectMedicineen_US
dc.subjectNursingen_US
dc.titleNeck circumference as a predictor of metabolic syndrome: A cross-sectional studyen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072182453&origin=inwarden_US

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