Literature DB >> 9312398

Bone mineral density of the skull in premenopausal women.

A S Turner1, J M Maillet, C Mallinckrodt, L Cordain.   

Abstract

Dual-energy X-ray absorptiometry (DXA) of the head has received little attention. We used DXA to measure bone mineral density (BMD) of the entire skull including the mandible (BMDHead) and BMD of the cranial vault (BMDVault) in 91 normal young women. We also measured BMD of the total body (BMDTotal body), proximal femur ("total femur"), and lumbar vertebrae (L1-L4). BMD (g/cm2; mean +/- SE) was 1.032 +/- 0.011 for L1-L4, 0.995 +/- 0.011 for total femur, and 2.283 +/- 0.028 for BMDVault (cranial vault) and the mean body weight of all subjects was 59.8 kg. Correlation between BMD Vault and BMDHead was -0.004 g/cm2 suggesting that these two measurements of bone mass of the skull were similar. To determine the correlation between the different variables after accounting for external sources of variation, partial correlation derived from multiple regression was determined. Correlations between BMD at the various locations and with BMDTotal body were moderate to strong. Although small in magnitude, the partial correlations of body weight with BMDTotal body, total femur, and L1-L4 were of equal value in predicting BMDTotal body and further, BMDVault was not influenced by body weight. Including body weight in multiple regression in addition to total femur or L1-L4 removed the extraneous variation due to body weight, and predictions of MBDTotal body were as reliable as when BMDVault was based on goodness of fit tests (P = 0.314). The techniques used to measure BMD of the cranial vault is a relatively new variation of DXA technology. The precision was as good as other measurements of bone mass of the entire skull (including the mandible). Because the cranial vault is less sensitive to mechanical influences, it may be a region where response to therapy could be evaluated. The cranial vault may be a useful area to study certain heritable diseases that affect the skeleton, skeletal artifact, or evaluation of oral bone loss.

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Year:  1997        PMID: 9312398     DOI: 10.1007/s002239900305

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  6 in total

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Journal:  PLoS One       Date:  2009-12-21       Impact factor: 3.240

2.  Similarities and Differences in Bone Mineral Density between Multiple Sites in the Same Individual: An Elderly Cadaveric Study.

Authors:  Keita Nishi; Daisuke Endo; Takashi Hasegawa; Takefumi Moriuchi; Keiko Ogami-Takamura; Kazunobu Saiki; Kiyohito Murai; Toshio Higashi; Toshiyuki Tsurumoto; Yoshitaka Manabe; Joichi Oyamada
Journal:  Biomed Res Int       Date:  2022-06-07       Impact factor: 3.246

3.  Associations between endogenous sex hormone levels and mammographic and bone densities in premenopausal women.

Authors:  Mellissa Yong; Charlotte Atkinson; Katherine M Newton; Erin J Aiello Bowles; Frank Z Stanczyk; Kim C Westerlind; Victoria L Holt; Stephen M Schwartz; Wendy M Leisenring; Johanna W Lampe
Journal:  Cancer Causes Control       Date:  2009-03-12       Impact factor: 2.506

4.  Are body circumferences able to predict strength, muscle mass and bone characteristics in obesity? A preliminary study in women.

Authors:  Valentina Cavedon; Chiara Milanese; Carlo Zancanaro
Journal:  Int J Med Sci       Date:  2020-03-15       Impact factor: 3.738

5.  Computed Tomography Osteodensitometry for Assessment of Bone Mineral Density of the Canine Head-Preliminary Results.

Authors:  Glynn Woods; Nicolas Israeliantz Gunz; Ian Handel; Tiziana Liuti; Richard J Mellanby; Tobias Schwarz
Journal:  Animals (Basel)       Date:  2021-05-14       Impact factor: 2.752

6.  Phenotypic dissection of bone mineral density reveals skeletal site specificity and facilitates the identification of novel loci in the genetic regulation of bone mass attainment.

Authors:  John P Kemp; Carolina Medina-Gomez; Karol Estrada; Beate St Pourcain; Denise H M Heppe; Nicole M Warrington; Ling Oei; Susan M Ring; Claudia J Kruithof; Nicholas J Timpson; Lisa E Wolber; Sjur Reppe; Kaare Gautvik; Elin Grundberg; Bing Ge; Bram van der Eerden; Jeroen van de Peppel; Matthew A Hibbs; Cheryl L Ackert-Bicknell; Kwangbom Choi; Daniel L Koller; Michael J Econs; Frances M K Williams; Tatiana Foroud; M Carola Zillikens; Claes Ohlsson; Albert Hofman; André G Uitterlinden; George Davey Smith; Vincent W V Jaddoe; Jonathan H Tobias; Fernando Rivadeneira; David M Evans
Journal:  PLoS Genet       Date:  2014-06-19       Impact factor: 5.917

  6 in total

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