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Article: Bone mineral density in elderly Chinese: Effects of age, sex, weight, height, and body mass index

TitleBone mineral density in elderly Chinese: Effects of age, sex, weight, height, and body mass index
Authors
KeywordsBody mass index
Bone mineral density
Height, principal component analysis
Weight
Issue Date2004
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, 2004, v. 22 n. 1, p. 71-78 How to Cite?
AbstractTo enhance our understanding of the relationship between bone mineral density (BMD) and sex, age, body mass index (BMI), weight, and height in elderly Chinese, we studied 258 males aged 50-80 years (mean ± SD, 62.9 ± 6.2 years) and 193 females aged 46-75 years (59.0 ± 6.2 years). We measured BMD at the lumbar spine (L1-L4), hip (femoral neck, trochanter, and intertrochanter), and Ward's triangle. A significant difference of age-adjusted BMD among male-female groups (P < 0.0001) was observed. After adjustment for weight, the magnitude of the sex difference in BMD was reduced at all studied skeletal sites; for example, the difference declined from 18.3% to 5.5% at the spine. There were significant differences in BMD among age-stratified groups at all the sites in both sexes (P < 0.01), except for spine BMD in males (P = 0.928). Regression analysis suggested that, with aging, greater differences of BMD distribution exist in elderly females than in males. Weight accounted for the greatest proportion of age-adjusted BMD variation (e.g., at femoral neck, R 2 = 0.17 in males) among four variables: weight, height, BMI, and a principal component formed from weight and height. These results suggested that weight decreased the sex difference in BMD in elderly Chinese. Patterns of age-related BMD distribution and BMD change among different age groups differed between the sexes and between the studied sites. Weight accounted for most of the effect of two correlated variables (weight and height) on BMD in our sample.
Persistent Identifierhttp://hdl.handle.net/10722/178845
ISSN
2015 Impact Factor: 2.312
2015 SCImago Journal Rankings: 0.775
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLei, SFen_HK
dc.contributor.authorDeng, FYen_HK
dc.contributor.authorLi, MXen_HK
dc.contributor.authorDvornyk, Ven_HK
dc.contributor.authorDeng, HWen_HK
dc.date.accessioned2012-12-19T09:50:05Z-
dc.date.available2012-12-19T09:50:05Z-
dc.date.issued2004en_HK
dc.identifier.citationJournal Of Bone And Mineral Metabolism, 2004, v. 22 n. 1, p. 71-78en_HK
dc.identifier.issn0914-8779en_HK
dc.identifier.urihttp://hdl.handle.net/10722/178845-
dc.description.abstractTo enhance our understanding of the relationship between bone mineral density (BMD) and sex, age, body mass index (BMI), weight, and height in elderly Chinese, we studied 258 males aged 50-80 years (mean ± SD, 62.9 ± 6.2 years) and 193 females aged 46-75 years (59.0 ± 6.2 years). We measured BMD at the lumbar spine (L1-L4), hip (femoral neck, trochanter, and intertrochanter), and Ward's triangle. A significant difference of age-adjusted BMD among male-female groups (P < 0.0001) was observed. After adjustment for weight, the magnitude of the sex difference in BMD was reduced at all studied skeletal sites; for example, the difference declined from 18.3% to 5.5% at the spine. There were significant differences in BMD among age-stratified groups at all the sites in both sexes (P < 0.01), except for spine BMD in males (P = 0.928). Regression analysis suggested that, with aging, greater differences of BMD distribution exist in elderly females than in males. Weight accounted for the greatest proportion of age-adjusted BMD variation (e.g., at femoral neck, R 2 = 0.17 in males) among four variables: weight, height, BMI, and a principal component formed from weight and height. These results suggested that weight decreased the sex difference in BMD in elderly Chinese. Patterns of age-related BMD distribution and BMD change among different age groups differed between the sexes and between the studied sites. Weight accounted for most of the effect of two correlated variables (weight and height) on BMD in our sample.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.subjectBody mass indexen_HK
dc.subjectBone mineral densityen_HK
dc.subjectHeight, principal component analysisen_HK
dc.subjectWeighten_HK
dc.subject.meshAbsorptiometry, Photonen_US
dc.subject.meshAge Factorsen_US
dc.subject.meshAgeden_US
dc.subject.meshAnalysis Of Varianceen_US
dc.subject.meshBody Height - Physiologyen_US
dc.subject.meshBody Mass Indexen_US
dc.subject.meshBody Weight - Physiologyen_US
dc.subject.meshBone Density - Physiologyen_US
dc.subject.meshChinaen_US
dc.subject.meshFemaleen_US
dc.subject.meshFemur - Chemistryen_US
dc.subject.meshFemur Neck - Chemistryen_US
dc.subject.meshHipen_US
dc.subject.meshHumansen_US
dc.subject.meshLumbar Vertebrae - Chemistryen_US
dc.subject.meshMaleen_US
dc.subject.meshMiddle Ageden_US
dc.subject.meshPrincipal Component Analysisen_US
dc.subject.meshRegression Analysisen_US
dc.subject.meshSex Factorsen_US
dc.titleBone mineral density in elderly Chinese: Effects of age, sex, weight, height, and body mass indexen_HK
dc.typeArticleen_HK
dc.identifier.emailLi, MX: mxli@hku.hken_HK
dc.identifier.emailDvornyk, V: dvornyk@hku.hken_HK
dc.identifier.authorityLi, MX=rp01722en_HK
dc.identifier.authorityDvornyk, V=rp00693en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s00774-003-0452-4en_HK
dc.identifier.pmid14691691en_HK
dc.identifier.scopuseid_2-s2.0-0942298629en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0942298629&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume22en_HK
dc.identifier.issue1en_HK
dc.identifier.spage71en_HK
dc.identifier.epage78en_HK
dc.identifier.isiWOS:000187548700012-
dc.publisher.placeJapanen_HK
dc.identifier.scopusauthoridLei, SF=7102453442en_HK
dc.identifier.scopusauthoridDeng, FY=19640145800en_HK
dc.identifier.scopusauthoridLi, MX=17135391100en_HK
dc.identifier.scopusauthoridDvornyk, V=6701789786en_HK
dc.identifier.scopusauthoridDeng, HW=34568563000en_HK

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