Literature DB >> 15838718

Gender differences in relationships between body composition components, their distribution and bone mineral density: a cross-sectional opposite sex twin study.

Joanna Makovey1, Vasi Naganathan, Philip Sambrook.   

Abstract

Numerous studies indicate that bone mineral density (BMD) is closely related to body mass and its components. Most studies have examined these relationships in women with little attention given to how these relationships differ by gender. The aims of the present study were to use the opposite sex twin model to determine if there were gender differences in the relationship between body composition and its relation to BMD and how any such differences were influenced by age. We measured body composition and bone mass by dual energy X-ray absorptiometry in 93 pairs of opposite sex twins. To examine the effect of age, they were divided into two age groups: under 50 years old (45 pairs) and over 50 years old (48 pairs). Lean mass (LM) had stronger positive relationships with the most bone variables than fat mass in both genders at all ages. Fat mass (FM) had positive relationships with total body and hip BMD in women under age 50, but not over 50. There was no significant relationship between FM and total or regional BMD in men under age 50, but men over 50 showed positive relationships between FM measures and total and some regional BMD measures. Central adiposity showed a positive relationship with BMD in men over 50 and women under 50. Fat mass (FM) and lean mass (LM) and their distribution in the body have different relationships with regional BMD in men and women that differ by age.

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Year:  2005        PMID: 15838718     DOI: 10.1007/s00198-005-1841-4

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  46 in total

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2.  Changes in body composition as determinants of longitudinal changes in bone mineral measures in 8 to 26-year-old female twins.

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Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

Review 3.  Relationships among body mass, its components, and bone.

Authors:  I R Reid
Journal:  Bone       Date:  2002-11       Impact factor: 4.398

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Authors:  S Khosla; E J Atkinson; B L Riggs; L J Melton
Journal:  J Bone Miner Res       Date:  1996-06       Impact factor: 6.741

5.  Fat or lean tissue mass: which one is the major determinant of bone mineral mass in healthy postmenopausal women?

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Journal:  J Bone Miner Res       Date:  1997-01       Impact factor: 6.741

6.  Role of serum leptin, insulin, and estrogen levels as potential mediators of the relationship between fat mass and bone mineral density in men versus women.

Authors:  T Thomas; B Burguera; L J Melton; E J Atkinson; W M O'Fallon; B L Riggs; S Khosla
Journal:  Bone       Date:  2001-08       Impact factor: 4.398

7.  Gender differences in volumetric bone density: a study of opposite-sex twins.

Authors:  Vasi Naganathan; Philip Sambrook
Journal:  Osteoporos Int       Date:  2003-06-26       Impact factor: 4.507

8.  Relation between body size and bone mineral density in elderly men and women.

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Journal:  Am J Epidemiol       Date:  1993-08-01       Impact factor: 4.897

9.  Fat mass is an important determinant of whole body bone density in premenopausal women but not in men.

Authors:  I R Reid; L D Plank; M C Evans
Journal:  J Clin Endocrinol Metab       Date:  1992-09       Impact factor: 5.958

10.  Body composition and bone mass in post-menopausal women.

Authors:  J E Compston; M Bhambhani; M A Laskey; S Murphy; K T Khaw
Journal:  Clin Endocrinol (Oxf)       Date:  1992-11       Impact factor: 3.478

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  24 in total

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Review 2.  Bone metabolism in obesity and weight loss.

Authors:  Sue A Shapses; Deeptha Sukumar
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Journal:  J Bone Miner Metab       Date:  2015-06-09       Impact factor: 2.626

4.  The association between bone mineral density and metabolic syndrome: a Korean population-based study.

Authors:  Hoon Kim; Han Jin Oh; Hoon Choi; Woong Hwan Choi; Sung-Kil Lim; Jung Gu Kim
Journal:  J Bone Miner Metab       Date:  2013-03-26       Impact factor: 2.626

5.  Bone mass of overweight affluent Indian youth and its sex-specific association with body composition.

Authors:  G Amarendra Reddy; Bharati Kulkarni; Veena Shatrugna; P Thilak Ravindra Reddy; Balakrishna Nagalla; P Ajeya Kumar; K Usha Rani
Journal:  Arch Osteoporos       Date:  2009-05-29       Impact factor: 2.617

6.  Association between myostatin gene polymorphisms and peak BMD variation in Chinese nuclear families.

Authors:  Z-L Zhang; J-W He; Y-J Qin; Y-Q Hu; M Li; H Zhang; W-W Hu; Y-J Liu; J-M Gu
Journal:  Osteoporos Int       Date:  2007-08-17       Impact factor: 4.507

7.  Relative contribution of body composition to bone mineral density at different sites in men and women of South Korea.

Authors:  Lian-Hua Cui; Min-Ho Shin; Sun-Seog Kweon; Kyeong-Soo Park; Young-Hoon Lee; Eun-Kyung Chung; Hae-Sung Nam; Jin-Su Choi
Journal:  J Bone Miner Metab       Date:  2007-04-20       Impact factor: 2.626

8.  Gender differences in the relationships between lean body mass, fat mass and peak bone mass in young adults.

Authors:  K Zhu; K Briffa; A Smith; J Mountain; A M Briggs; S Lye; C Pennell; L Straker; J P Walsh
Journal:  Osteoporos Int       Date:  2014-03-20       Impact factor: 4.507

9.  Dual-Energy X-Ray Absorptiometry Body Composition in NCAA Division I Athletes: Exploration of Mass Distribution.

Authors:  Jennifer Sanfilippo; Diane Krueger; Bryan Heiderscheit; Neil Binkley
Journal:  Sports Health       Date:  2019-07-26       Impact factor: 3.843

10.  The role of body mass index, insulin, and adiponectin in the relation between fat distribution and bone mineral density.

Authors:  M Carola Zillikens; André G Uitterlinden; Johannes P T M van Leeuwen; Anne L Berends; Peter Henneman; Ko Willems van Dijk; Ben A Oostra; Cornelia M van Duijn; Huibert A P Pols; Fernando Rivadeneira
Journal:  Calcif Tissue Int       Date:  2009-12-03       Impact factor: 4.333

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