Literature DB >> 20053386

Socioeconomic status and bone mineral density in a population-based sample of men.

Sharon L Brennan1, Margaret J Henry, Anita E Wluka, Geoffrey C Nicholson, Mark A Kotowicz, Julie A Pasco.   

Abstract

Overall, socioeconomic status (SES) is inversely associated with poorer health outcomes. However, current literature provides conflicting data of the relationship between SES and bone mineral density (BMD) in men. In an age-stratified population-based randomly selected cross-sectional study of men (n=1467) we assessed the association between SES and lifestyle exposures in relation to BMD. SES was determined by matching the residential address for each subject with Australian Bureau of Statistics 2006 census data for the study region. BMD was measured at the spine and femoral neck by dual energy X-ray absorptiometry. Lifestyle variables were collected by self-report. Regression models were age-stratified into younger and older groups and adjusted for age, weight, dietary calcium, physical activity, and medications known to affect bone. Subjects with spinal abnormalities were excluded from analyses of BMD at the spine. In younger men, BMD was highest at the spine in the mid quintiles of SES, where differences were observed compared to quintile 1 (1-7%, p<0.05). In older men, the pattern of BMD across SES quintiles was reversed, and subjects from mid quintiles had the lowest BMD, with differences observed compared to quintile 5 (1-7%, p<0.05). Differences in BMD at the spine across SES quintiles represent a potential 1.5-fold increase in fracture risk for those with the lowest BMD. There were no differences in BMD at the femoral neck. Further research is warranted which examines the mechanisms that may underpin differences in BMD across SES quintiles and to address the current paucity of data in this field of enquiry. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20053386     DOI: 10.1016/j.bone.2009.12.029

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  12 in total

1.  Social disadvantage, bone mineral density and vertebral wedge deformities in the Tasmanian Older Adult Cohort.

Authors:  S L Brennan; T M Winzenberg; J A Pasco; A E Wluka; A G Dobbins; G Jones
Journal:  Osteoporos Int       Date:  2012-11-15       Impact factor: 4.507

2.  Socioeconomic status and bone health in community-dwelling older men: the CHAMP Study.

Authors:  I Nabipour; R Cumming; D J Handelsman; M Litchfield; V Naganathan; L Waite; H Creasey; M Janu; D Le Couteur; P N Sambrook; M J Seibel
Journal:  Osteoporos Int       Date:  2010-06-23       Impact factor: 4.507

3.  Evaluation of bone mineral density (BMD) and indicators of bone turnover in patients with hemophilia.

Authors:  Mehmet Dagli; Ali Kutlucan; Sedat Abusoglu; Abdulkadir Basturk; Mehmet Sozen; Leyla Kutlucan; Ali Unlu; Farise Yilmaz
Journal:  Bosn J Basic Med Sci       Date:  2018-05-20       Impact factor: 3.363

4.  Pattern of use of DXA scans in men: a cross-sectional, population-based study.

Authors:  M Frost; C Gudex; K H Rubin; K Brixen; B Abrahamsen
Journal:  Osteoporos Int       Date:  2011-02-26       Impact factor: 4.507

5.  Socioeconomic status and bone mineral density in adults by race/ethnicity and gender: the Louisiana osteoporosis study.

Authors:  Y Du; L-J Zhao; Q Xu; K-H Wu; H-W Deng
Journal:  Osteoporos Int       Date:  2017-02-24       Impact factor: 4.507

6.  Childhood socioeconomic status and adult femoral neck bone strength: findings from the Midlife in the United States Study.

Authors:  Arun S Karlamangla; Takahiro Mori; Sharon S Merkin; Teresa E Seeman; Gail A Greendale; Neil Binkley; Carolyn J Crandall
Journal:  Bone       Date:  2013-06-28       Impact factor: 4.398

7.  Socioeconomic disparities in osteoporosis prevalence: different results in the overall Korean adult population and single-person households.

Authors:  Jungmee Kim; Joongyub Lee; Ju-Young Shin; Byung-Joo Park
Journal:  J Prev Med Public Health       Date:  2015-03-06

8.  Associations between socioeconomic factors and proinflammatory cytokines in children, adolescents and young adults: a systematic review protocol.

Authors:  Nick John Fredman; Gustavo Duque; Rachel Louise Duckham; Darci Green; Sharon Lee Brennan-Olsen
Journal:  BMJ Open       Date:  2018-02-28       Impact factor: 2.692

9.  Physical comorbidities in men with mood and anxiety disorders: a population-based study.

Authors:  Livia Sanna; Amanda L Stuart; Julie A Pasco; Mark A Kotowicz; Michael Berk; Paolo Girardi; Sharon L Brennan; Lana J Williams
Journal:  BMC Med       Date:  2013-04-24       Impact factor: 8.775

Review 10.  Factors influencing peak bone mass gain.

Authors:  Xiaowei Zhu; Houfeng Zheng
Journal:  Front Med       Date:  2020-06-09       Impact factor: 4.592

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