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Article: Bioimpedance: Can its addition to simple clinical criteria enhance the diagnosis of osteoporosis?

TitleBioimpedance: Can its addition to simple clinical criteria enhance the diagnosis of osteoporosis?
Authors
KeywordsBioimpedance
Bone mass density
Dual-energy X-ray absorptiometry
Osteoporosis
Issue Date2009
PublisherSpringer Japan. The Journal's web site is located at http://link.springer.de/link/service/journals/00774/index.htm
Citation
Journal Of Bone And Mineral Metabolism, 2009, v. 27 n. 3, p. 372-378 How to Cite?
AbstractThere is a great need for a simple means to identify individuals at risk of osteoporosis. Because bioimpedance (BI) estimates body composition, which is highly related to bone mineral density (BMD), we aimed to define the usefulness of BI to assess BMD. The relationships between BI and BMD were quantified using partial correlations. Multiple linear regression with a forward selection method was used to examine the predictive abilities of various body measurements on BMD at lumbar spine, femoral neck, and total hip. The abilities of BI to discriminate low BMD or to discriminate osteoporosis were evaluated using receiver operating characteristic (ROC) curve analysis. The relationships between BI and BMD at the spine and hip were evaluated in 345 Southern Chinese postmenopausal women and 390 men. After adjusting for age and weight, BI was inversely associated with BMD in both sexes (r = -0.053 to -0.195). Multiple linear regression analysis revealed that BI is a significant independent predictor of BMD in men. This finding was not confirmed in women. The area under the ROC curves (AUC) for BI as a single predictor to diagnose osteoporosis was 0.658 and 0.655 in women and men, respectively. The AUC was improved slightly with the addition of BI in the model that consisted of age and weight alone. Although BI was significantly associated with BMD, addition of BI did not enhance the ability to diagnose osteoporosis significantly compared with simple clinical criteria such as age and weight. © 2009 The Japanese Society for Bone and Mineral Research and Springer.
Persistent Identifierhttp://hdl.handle.net/10722/163241
ISSN
2023 Impact Factor: 2.4
2023 SCImago Journal Rankings: 0.766
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorNgai, HHYen_HK
dc.contributor.authorCheung, CLen_HK
dc.contributor.authorYao, TJen_HK
dc.contributor.authorKung, AWCen_HK
dc.date.accessioned2012-09-05T05:29:04Z-
dc.date.available2012-09-05T05:29:04Z-
dc.date.issued2009en_HK
dc.identifier.citationJournal Of Bone And Mineral Metabolism, 2009, v. 27 n. 3, p. 372-378en_HK
dc.identifier.issn0914-8779en_HK
dc.identifier.urihttp://hdl.handle.net/10722/163241-
dc.description.abstractThere is a great need for a simple means to identify individuals at risk of osteoporosis. Because bioimpedance (BI) estimates body composition, which is highly related to bone mineral density (BMD), we aimed to define the usefulness of BI to assess BMD. The relationships between BI and BMD were quantified using partial correlations. Multiple linear regression with a forward selection method was used to examine the predictive abilities of various body measurements on BMD at lumbar spine, femoral neck, and total hip. The abilities of BI to discriminate low BMD or to discriminate osteoporosis were evaluated using receiver operating characteristic (ROC) curve analysis. The relationships between BI and BMD at the spine and hip were evaluated in 345 Southern Chinese postmenopausal women and 390 men. After adjusting for age and weight, BI was inversely associated with BMD in both sexes (r = -0.053 to -0.195). Multiple linear regression analysis revealed that BI is a significant independent predictor of BMD in men. This finding was not confirmed in women. The area under the ROC curves (AUC) for BI as a single predictor to diagnose osteoporosis was 0.658 and 0.655 in women and men, respectively. The AUC was improved slightly with the addition of BI in the model that consisted of age and weight alone. Although BI was significantly associated with BMD, addition of BI did not enhance the ability to diagnose osteoporosis significantly compared with simple clinical criteria such as age and weight. © 2009 The Japanese Society for Bone and Mineral Research and Springer.en_HK
dc.languageengen_US
dc.publisherSpringer Japan. The Journal's web site is located at http://link.springer.de/link/service/journals/00774/index.htmen_HK
dc.relation.ispartofJournal of Bone and Mineral Metabolismen_HK
dc.subjectBioimpedanceen_HK
dc.subjectBone mass densityen_HK
dc.subjectDual-energy X-ray absorptiometryen_HK
dc.subjectOsteoporosisen_HK
dc.subject.meshAdulten_US
dc.subject.meshAgeden_US
dc.subject.meshAged, 80 And Overen_US
dc.subject.meshArea Under Curveen_US
dc.subject.meshBone Density - Physiologyen_US
dc.subject.meshElectric Impedanceen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshMaleen_US
dc.subject.meshMiddle Ageden_US
dc.subject.meshOrgan Sizeen_US
dc.subject.meshOsteoporosis - Diagnosis - Physiopathologyen_US
dc.subject.meshPostmenopause - Physiologyen_US
dc.subject.meshRoc Curveen_US
dc.subject.meshRegression Analysisen_US
dc.titleBioimpedance: Can its addition to simple clinical criteria enhance the diagnosis of osteoporosis?en_HK
dc.typeArticleen_HK
dc.identifier.emailCheung, CL: lung1212@hku.hken_HK
dc.identifier.emailYao, TJ: tjyao@hku.hken_HK
dc.identifier.emailKung, AWC: awckung@hku.hken_HK
dc.identifier.authorityCheung, CL=rp01749en_HK
dc.identifier.authorityYao, TJ=rp00284en_HK
dc.identifier.authorityKung, AWC=rp00368en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s00774-009-0043-0en_HK
dc.identifier.pmid19240971-
dc.identifier.scopuseid_2-s2.0-64949114703en_HK
dc.identifier.hkuros152577-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-64949114703&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume27en_HK
dc.identifier.issue3en_HK
dc.identifier.spage372en_HK
dc.identifier.epage378en_HK
dc.identifier.isiWOS:000265246800014-
dc.publisher.placeJapanen_HK
dc.identifier.scopusauthoridNgai, HHY=8528923200en_HK
dc.identifier.scopusauthoridCheung, CL=14520953400en_HK
dc.identifier.scopusauthoridYao, TJ=7401886444en_HK
dc.identifier.scopusauthoridKung, AWC=7102322339en_HK
dc.identifier.citeulike4112536-
dc.identifier.issnl0914-8779-

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