Literature DB >> 20571771

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

I Nabipour1, R Cumming, D J Handelsman, M Litchfield, V Naganathan, L Waite, H Creasey, M Janu, D Le Couteur, P N Sambrook, M J Seibel.   

Abstract

SUMMARY: The association between socioeconomic status (SES) and bone health, specifically in men, is unclear. Based upon data from the large prospective Concord Health in Ageing Men Project (CHAMP) Study of community-dwelling men aged 70 years or over, we found that specific sub-characteristics of SES, namely, marital status, living circumstances, and acculturation, reflected bone health in older Australian men.
INTRODUCTION: Previous studies reported conflicting results regarding the relationship between SES and bone health, specifically in men. The main objective of this study was to investigate associations of SES with bone health in community-dwelling men aged 70 years or over who participated in the baseline phase of the CHAMP Study in Sydney, Australia.
METHODS: The Australian Socioeconomic Index 2006 (AUSEI06) based on the Australian and New Zealand Standard Classification of Occupations was used to determine SES in 1,705 men. Bone mineral density and bone mineral content (BMC) were determined by dual-energy X-ray absorptiometry. Bone-related biochemical and hormonal parameters, including markers of bone turnover, parathyroid hormone, and vitamin D, were measured in all men.
RESULTS: General linear models adjusted for age, weight, height, and bone area revealed no significant differences across crude AUSEI06 score quintiles for BMC at any skeletal site or for any of the bone-related biochemical measures. However, multivariate regression models revealed that in Australian-born men, marital status was a predictor of higher lumbar BMC (β = 0.07, p = 0.002), higher total body BMC (β = 0.05, p = 0.03), and lower urinary NTX-I levels (β=-0.08, p = 0.03), while living alone was associated with lower BMC at the lumbar spine (β=-0.05, p = 0.04) and higher urinary NTX-I levels (β=0.07, p = 0.04). Marital status was also a predictor of higher total body BMC (β = 0.14, p = 0.003) in immigrants from Eastern and South Eastern Europe. However, in immigrants from Southern Europe, living alone and acculturation were predictors of higher femoral neck BMC (β = 0.11, p = 0.03) and lumbar spine BMC (β = 0.10, p = 0.008), respectively.
CONCLUSIONS: Although crude occupation-based SES scores were not significantly associated with bone health in older Australian men, specific sub-characteristics of SES, namely, marital status, living circumstances, and acculturation, were predictors of bone health in both Australia-born men and European immigrants.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20571771     DOI: 10.1007/s00198-010-1332-0

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


  44 in total

1.  Race/ethnicity and the receipt of watchful waiting for the initial management of prostate cancer.

Authors:  Vickie L Shavers; Martin L Brown; Arnold L Potosky; Carrie N Klabunde; W W Davis; Judd W Moul; Angela Fahey
Journal:  J Gen Intern Med       Date:  2004-02       Impact factor: 5.128

2.  Socioeconomic influences on bone health in postmenopausal women: findings from NHANES III, 1988-1994.

Authors:  May-Choo Wang; L Beth Dixon
Journal:  Osteoporos Int       Date:  2005-05-10       Impact factor: 4.507

Review 3.  Biological impacts and context of network theory.

Authors:  Eivind Almaas
Journal:  J Exp Biol       Date:  2007-05       Impact factor: 3.312

Review 4.  The association between socioeconomic status and osteoporotic fracture in population-based adults: a systematic review.

Authors:  S L Brennan; J A Pasco; D M Urquhart; B Oldenburg; F Hanna; A E Wluka
Journal:  Osteoporos Int       Date:  2008-12-24       Impact factor: 4.507

5.  BMD in population-based adult women is associated with socioeconomic status.

Authors:  Sharon L Brennan; Margaret J Henry; Anita E Wluka; Geoffrey C Nicholson; Mark A Kotowicz; Joanne W Williams; Julie A Pasco
Journal:  J Bone Miner Res       Date:  2009-05       Impact factor: 6.741

6.  Current socio-economic measures, and not those measured during infancy, affect bone mass in poor urban South african children.

Authors:  Shane A Norris; Zoë A Sheppard; Paula L Griffiths; Noël Cameron; John M Pettifor
Journal:  J Bone Miner Res       Date:  2008-09       Impact factor: 6.741

7.  Social position affects bone mass in childhood through opposing actions on height and weight.

Authors:  Emma M Clark; Andy Ness; Jon H Tobias
Journal:  J Bone Miner Res       Date:  2005-08-08       Impact factor: 6.741

8.  Educational level and osteoporosis risk in postmenopausal Chinese women.

Authors:  Suzanne C Ho; Yu-ming Chen; Jean L F Woo
Journal:  Am J Epidemiol       Date:  2005-04-01       Impact factor: 4.897

Review 9.  Coupled human and natural systems.

Authors:  Jianguo Liu; Thomas Dietz; Stephen R Carpenter; Carl Folke; Marina Alberti; Charles L Redman; Stephen H Schneider; Elinor Ostrom; Alice N Pell; Jane Lubchenco; William W Taylor; Zhiyun Ouyang; Peter Deadman; Timothy Kratz; William Provencher
Journal:  Ambio       Date:  2007-12       Impact factor: 5.129

10.  The relationship between educational level and bone mineral density in postmenopausal women.

Authors:  Ali Gur; Aysegül Jale Sarac; Kemal Nas; Remzi Cevik
Journal:  BMC Fam Pract       Date:  2004-09-06       Impact factor: 2.497

View more
  9 in total

1.  Marital histories, marital support, and bone density: findings from the Midlife in the United States Study.

Authors:  D Miller-Martinez; T Seeman; A S Karlamangla; G A Greendale; N Binkley; C J Crandall
Journal:  Osteoporos Int       Date:  2014-01-15       Impact factor: 4.507

2.  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

3.  Influence of education, marital status, occupation, and the place of living on skeletal status, fracture prevalence, and the course and effectiveness of osteoporotic therapy in women in the RAC-OST-POL Study.

Authors:  Wojciech Pluskiewicz; Piotr Adamczyk; Aleksandra Czekajło; Władysław Grzeszczak; Bogna Drozdzowska
Journal:  J Bone Miner Metab       Date:  2013-05-21       Impact factor: 2.626

4.  Acculturation and biological stress markers: A systematic review.

Authors:  Laura Scholaske; Pathik D Wadhwa; Sonja Entringer
Journal:  Psychoneuroendocrinology       Date:  2021-07-01       Impact factor: 4.693

5.  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

6.  Contingent association between the size of the social support network and osteoporosis among Korean elderly women.

Authors:  Seungwon Lee; Da Hea Seo; Kyoung Min Kim; Eun Young Lee; Hyeon Chang Kim; Chang Oh Kim; Yoosik Youm; Yumie Rhee
Journal:  PLoS One       Date:  2017-07-12       Impact factor: 3.240

7.  Socioeconomic status, health-related behaviours, and death among older people: the Concord health and aging in men project prospective cohort study.

Authors:  Saman Khalatbari-Soltani; Fiona M Blyth; Vasi Naganathan; David J Handelsman; David G Le Couteur; Markus J Seibel; Louise M Waite; Erin Cvejic; Robert G Cumming
Journal:  BMC Geriatr       Date:  2020-07-29       Impact factor: 3.921

8.  Estimation of Prevalence of Osteoporosis Using OSTA and Its Correlation with Sociodemographic Factors, Disability and Comorbidities.

Authors:  Peizhi Wang; Edimansyah Abdin; Saleha Shafie; Siow Ann Chong; Janhavi Ajit Vaingankar; Mythily Subramaniam
Journal:  Int J Environ Res Public Health       Date:  2019-07-02       Impact factor: 3.390

9.  Engagement in Primary Prevention Program among Rural Veterans With Osteoporosis Risk.

Authors:  Karla L Miller; Kimberly Mccoy; Chris Richards; Aaron Seaman; Samantha L Solimeo
Journal:  JBMR Plus       Date:  2022-10-03
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.