Literature DB >> 20499378

Peak bone mass from longitudinal data: implications for the prevalence, pathophysiology, and diagnosis of osteoporosis.

Claudie Berger1, David Goltzman, Lisa Langsetmo, Lawrence Joseph, Stuart Jackson, Nancy Kreiger, Alan Tenenhouse, K Shawn Davison, Robert G Josse, Jerilynn C Prior, David A Hanley.   

Abstract

We estimated peak bone mass (PBM) in 615 women and 527 men aged 16 to 40 years using longitudinal data from the Canadian Multicentre Osteoporosis Study (CaMos). Individual rates of change were averaged to find the mean rate of change for each baseline age. The age range for PBM was defined as the period during which bone mineral density (BMD) was stable. PBM was estimated via hierarchical models, weighted according to 2006 Canadian Census data. Lumbar spine PBM (1.046 ± 0.123 g/cm(2)) occurred at ages 33 to 40 years in women and at 19 to 33 years in men (1.066 ± 0.129 g/cm(2)). Total hip PBM (0.981 ± 0.122 g/cm(2)) occurred at ages 16 to 19 years in women and 19 to 21 years in men (1.093 ± 0.169 g/cm(2)). Analysis of Canadian geographic variation revealed that the levels of PBM and of mean BMD in those over age 65 sometimes were discordant, suggesting that PBM and subsequent rates of bone loss may be subject to different genetic and/or environmental influences. Based on our longitudinally estimated PBM values, the estimated Canadian prevalences of osteoporosis (T-score < -2.5) were 12.0% (L(1)-L(4)) and 9.1% (total hip) in women aged 50 years and older and 2.9% (L(1)-L(4)) and 0.9% (total hip) in men aged 50 years and older. These were higher than prevalences using cross-sectional PBM data. In summary, we found that the age at which PBM is achieved varies by sex and skeletal site, and different reference values for PBM lead to different estimates of the prevalence of osteoporosis. Furthermore, lack of concordance of PBM and BMD over age 65 suggests different determinants of PBM and subsequent bone loss.
© 2010 American Society for Bone and Mineral Research.

Entities:  

Mesh:

Year:  2010        PMID: 20499378      PMCID: PMC5101070          DOI: 10.1002/jbmr.95

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  33 in total

1.  Bone mineral acquisition in healthy Asian, Hispanic, black, and Caucasian youth: a longitudinal study.

Authors:  L K Bachrach; T Hastie; M C Wang; B Narasimhan; R Marcus
Journal:  J Clin Endocrinol Metab       Date:  1999-12       Impact factor: 5.958

2.  Definition of a population-specific DXA reference standard in Italian women: the Densitometric Italian Normative Study (DINS).

Authors:  M Pedrazzoni; G Girasole; F Bertoldo; G Bianchi; C Cepollaro; A Del Puente; S Giannini; S Gonnelli; D Maggio; C Marcocci; S Minisola; E Palummeri; M Rossini; L Sartori; L Sinigaglia
Journal:  Osteoporos Int       Date:  2003-10-03       Impact factor: 4.507

3.  Bone mineral acquisition during adolescence and early adulthood: a study in 574 healthy females 10-24 years of age.

Authors:  J P Sabatier; G Guaydier-Souquières; D Laroche; A Benmalek; L Fournier; F Guillon-Metz; J Delavenne; A Y Denis
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

4.  Pubertal bone growth in the femoral neck is predominantly characterized by increased bone size and not by increased bone density--a 4-year longitudinal study.

Authors:  M Sundberg; P Gärdsell; O Johnell; E Ornstein; M K Karlsson; I Sernbo
Journal:  Osteoporos Int       Date:  2003-04-29       Impact factor: 4.507

5.  Peak bone mineral density, lean body mass and fractures.

Authors:  Annemieke M Boot; Maria A J de Ridder; Inge M van der Sluis; Ingrid van Slobbe; Eric P Krenning; Sabine M P F de Muinck Keizer-Schrama
Journal:  Bone       Date:  2009-10-13       Impact factor: 4.398

6.  Geographical variation in DXA bone mineral density in young European men and women. Results from the Network in Europe on Male Osteoporosis (NEMO) study.

Authors:  Stephen Kaptoge; Jose A da Silva; Kim Brixen; David M Reid; Heikki Kröger; Torben L Nielsen; Marianne Andersen; Claus Hagen; Roman Lorenc; Steven Boonen; Marie-Christine de Vernejoul; Jan J Stepan; Judith Adams; Jean-Marc Kaufman; Jonathan Reeve
Journal:  Bone       Date:  2008-04-16       Impact factor: 4.398

7.  A population-based assessment of rates of bone loss at multiple skeletal sites: evidence for substantial trabecular bone loss in young adult women and men.

Authors:  B Lawrence Riggs; L Joseph Melton; Richard A Robb; Jon J Camp; Elizabeth J Atkinson; Lisa McDaniel; Shreyasee Amin; Peggy A Rouleau; Sundeep Khosla
Journal:  J Bone Miner Res       Date:  2008-02       Impact factor: 6.741

8.  Change in bone mineral density as a function of age in women and men and association with the use of antiresorptive agents.

Authors:  Claudie Berger; Lisa Langsetmo; Lawrence Joseph; David A Hanley; K Shawn Davison; Robert Josse; Nancy Kreiger; Alan Tenenhouse; David Goltzman
Journal:  CMAJ       Date:  2008-06-17       Impact factor: 8.262

Review 9.  Prenatal and childhood influences on osteoporosis.

Authors:  M K Javaid; Cyrus Cooper
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2002-06       Impact factor: 4.690

10.  Bone mineral density in diagnosis of osteoporosis: reference population, definition of peak bone mass, and measured site determine prevalence.

Authors:  O Löfman; L Larsson; G Toss
Journal:  J Clin Densitom       Date:  2000       Impact factor: 2.963

View more
  71 in total

Review 1.  Endochondral bone growth, bone calcium accretion, and bone mineral density: how are they related?

Authors:  Kannikar Wongdee; Nateetip Krishnamra; Narattaphol Charoenphandhu
Journal:  J Physiol Sci       Date:  2012-05-25       Impact factor: 2.781

2.  Differential skeletal impact of tenofovir disoproxil fumarate in young versus old HIV-infected adults.

Authors:  Philip M Grant; Douglas Kitch; Grace A McComsey; Camlin Tierney; Belinda Ha; Todd T Brown
Journal:  HIV Clin Trials       Date:  2015-04-15

3.  Exploratory analysis of the potential relationship between urinary molybdenum and bone mineral density among adult men and women from NHANES 2007-2010.

Authors:  Ryan C Lewis; Lauren E Johns; John D Meeker
Journal:  Chemosphere       Date:  2016-09-16       Impact factor: 7.086

4.  Determinants of bone mineral density, bone mineral content, and body composition in a cohort of healthy children: influence of sex, age, puberty, and physical activity.

Authors:  Emanuele Ausili; Donato Rigante; Elio Salvaggio; Benedetta Focarelli; Claudia Rendeli; Valentina Ansuini; Valentina Paolucci; Silvia Triarico; Lucilla Martini; Paolo Caradonna
Journal:  Rheumatol Int       Date:  2011-08-02       Impact factor: 2.631

5.  Antidepressant use and 10-year incident fracture risk: the population-based Canadian Multicentre Osteoporosis Study (CaMoS).

Authors:  C Moura; S Bernatsky; M Abrahamowicz; A Papaioannou; L Bessette; J Adachi; D Goltzman; J Prior; N Kreiger; T Towheed; W D Leslie; S Kaiser; G Ioannidis; L Pickard; L-A Fraser; E Rahme
Journal:  Osteoporos Int       Date:  2014-02-25       Impact factor: 4.507

6.  Consensus statement on the use of HRT in postmenopausal women in the management of osteoporosis by SIE, SIOMMMS and SIGO.

Authors:  L Vignozzi; N Malavolta; P Villa; G Mangili; S Migliaccio; S Lello
Journal:  J Endocrinol Invest       Date:  2018-11-19       Impact factor: 4.256

7.  A Genomewide Association Study Identifies Two Sex-Specific Loci, at SPTB and IZUMO3, Influencing Pediatric Bone Mineral Density at Multiple Skeletal Sites.

Authors:  Alessandra Chesi; Jonathan A Mitchell; Heidi J Kalkwarf; Jonathan P Bradfield; Joan M Lappe; Diana L Cousminer; Sani M Roy; Shana E McCormack; Vicente Gilsanz; Sharon E Oberfield; Hakon Hakonarson; John A Shepherd; Andrea Kelly; Babette S Zemel; Struan Fa Grant
Journal:  J Bone Miner Res       Date:  2017-03-02       Impact factor: 6.741

8.  Birth weight is more important for peak bone mineral content than for bone density: the PEAK-25 study of 1,061 young adult women.

Authors:  M Callréus; F McGuigan; K Åkesson
Journal:  Osteoporos Int       Date:  2012-07-18       Impact factor: 4.507

9.  Peak-bone-mass development in young adults: effects of study program related levels of occupational and leisure time physical activity and exercise. A prospective 5-year study.

Authors:  W Kemmler; M Bebenek; S von Stengel; J Bauer
Journal:  Osteoporos Int       Date:  2014-10-07       Impact factor: 4.507

10.  Longitudinal changes in calcium and vitamin D intakes and relationship to bone mineral density in a prospective population-based study: the Canadian Multicentre Osteoporosis Study (CaMos).

Authors:  W Zhou; L Langsetmo; C Berger; S Poliquin; N Kreiger; S I Barr; S M Kaiser; R G Josse; J C Prior; T E Towheed; T Anastassiades; K S Davison; C S Kovacs; D A Hanley; E A Papadimitropoulos; D Goltzman
Journal:  J Musculoskelet Neuronal Interact       Date:  2013-12       Impact factor: 2.041

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.