Literature DB >> 19936871

Bone loss and the risk of non-vertebral fractures in women and men: the Tromsø study.

L A Ahmed1, N Emaus, G K Berntsen, A Bjørnerem, V Fønnebø, L Jørgensen, H Schirmer, J Størmer, R M Joakimsen.   

Abstract

SUMMARY: We assessed the association between the rate of forearm bone loss and non-vertebral fracture. Bone loss at the distal forearm predicted fractures, independently of baseline BMD, but not independently of follow-up BMD in women. The BMD level where an individual ends up is the significant predictor of fracture risk.
INTRODUCTION: Bone loss may predict fracture risk independently of baseline BMD. The influence of follow-up BMD on this prediction is unknown. The aim of this study was to assess the association between bone loss and fracture risk in both sexes in a prospective population-based study.
METHODS: We included 1,208 postmenopausal women (50 to 74 years), and 1,336 men (55 to 74 years) from the Tromsø Study, who had repeated distal and ultra-distal forearm BMD measurements. Non-vertebral fractures were registered from 2001 to 2005.
RESULTS: A total of 100 women and 46 men sustained fractures during the follow-up time. Independent of baseline BMD, the RR associated with distal site bone loss of 1 SD %/year was 1.23 (1.01-1.50) for low-trauma fractures (excluding hand, foot, skull & high-trauma) and 1.32 (1.07-1.62) for osteoporotic fractures (hip, wrist and shoulder). However, bone loss did not predict fracture after adjusting for follow-up BMD. The BMD level where an individual ends up became the significant predictor of fracture risk and not the rate of bone loss. Follow-up BMD at ultra-distal site was associated with low-trauma fractures in both sexes. While ultra-distal site BMD changes were not associated with fracture risk in both sexes.
CONCLUSION: Bone loss at the distal forearm predicted non-vertebral fractures, independently of baseline BMD, but not independently of follow-up BMD, in women. The BMD level where an individual ends up is the significant predictor of fracture risk and not the rate of bone loss.

Entities:  

Mesh:

Year:  2009        PMID: 19936871     DOI: 10.1007/s00198-009-1102-z

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


  44 in total

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Authors:  Tuan V Nguyen; Jacqueline R Center; John A Eisman
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7.  Low bone mass and fast rate of bone loss at menopause: equal risk factors for future fracture: a 15-year follow-up study.

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Review 8.  Diagnosis of osteoporosis and assessment of fracture risk.

Authors:  John A Kanis
Journal:  Lancet       Date:  2002-06-01       Impact factor: 79.321

9.  BMD at multiple sites and risk of fracture of multiple types: long-term results from the Study of Osteoporotic Fractures.

Authors:  Katie L Stone; Dana G Seeley; Li-Yung Lui; Jane A Cauley; Kristine Ensrud; Warren S Browner; Michael C Nevitt; Steven R Cummings
Journal:  J Bone Miner Res       Date:  2003-11       Impact factor: 6.741

10.  Progressive loss of bone in the femoral neck in elderly people: longitudinal findings from the Dubbo osteoporosis epidemiology study.

Authors:  G Jones; T Nguyen; P Sambrook; P J Kelly; J A Eisman
Journal:  BMJ       Date:  1994-09-17
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  14 in total

1.  Low serum concentrations of alpha-tocopherol are associated with increased risk of hip fracture. A NOREPOS study.

Authors:  K Holvik; C G Gjesdal; G S Tell; G Grimnes; B Schei; E M Apalset; S O Samuelsen; R Blomhoff; K Michaëlsson; H E Meyer
Journal:  Osteoporos Int       Date:  2014-07-26       Impact factor: 4.507

2.  [Identification, diagnostics and guideline conform therapy of osteoporosis (DVO) in trauma patients : a treatment algorithm].

Authors:  C Neuerburg; R Schmidmaier; S Schilling; C Kammerlander; W Böcker; W Mutschler; U Stumpf
Journal:  Unfallchirurg       Date:  2015-11       Impact factor: 1.000

3.  Value of a coordinated management of osteoporosis via Fracture Liaison Service for the treatment of orthogeriatric patients.

Authors:  D Schray; C Neuerburg; J Stein; M Gosch; M Schieker; W Böcker; C Kammerlander
Journal:  Eur J Trauma Emerg Surg       Date:  2016-07-25       Impact factor: 3.693

4.  Bone Mineral Density as a Predictor of Subsequent Wrist Fractures: Findings From the Women's Health Initiative Study.

Authors:  Carolyn J Crandall; Kathleen M Hovey; Christopher A Andrews; Jane A Cauley; JoAnn E Manson; Jean Wactawski-Wende; Nicole C Wright; Wenjun Li; Kristen Beavers; Jeffrey R Curtis; Meryl S LeBoff
Journal:  J Clin Endocrinol Metab       Date:  2015-09-14       Impact factor: 5.958

5.  Association between a literature-based genetic risk score and bone mineral density of African American women in Women Health Initiative Study.

Authors:  X Xiao; Q Wu
Journal:  Osteoporos Int       Date:  2019-12-01       Impact factor: 4.507

6.  Fracture prediction from repeat BMD measurements in clinical practice.

Authors:  W D Leslie; S L Brennan-Olsen; S N Morin; L M Lix
Journal:  Osteoporos Int       Date:  2015-08-05       Impact factor: 4.507

7.  Faster Lumbar Spine Bone Loss in Midlife Predicts Subsequent Fracture Independent of Starting Bone Mineral Density.

Authors:  Albert Shieh; Arun S Karlamangla; Mei-Hua Huang; Weijuan Han; Gail A Greendale
Journal:  J Clin Endocrinol Metab       Date:  2021-06-16       Impact factor: 5.958

8.  Peak trabecular bone microstructure predicts rate of estrogen-deficiency-induced bone loss in rats.

Authors:  Yihan Li; Wei-Ju Tseng; Chantal M J de Bakker; Hongbo Zhao; Rebecca Chung; X Sherry Liu
Journal:  Bone       Date:  2021-01-22       Impact factor: 4.398

9.  A cohort study for the impact of activity-limiting injuries based on the Canadian National Population Health Survey 1994-2006.

Authors:  Frank Mo; Ineke C Neutel; Howard Morrison; Doug Hopkins; Caroline Da Silva; Ying Jiang
Journal:  BMJ Open       Date:  2013-03-13       Impact factor: 2.692

10.  Diabetes and change in bone mineral density at the hip, calcaneus, spine, and radius in older women.

Authors:  Ann V Schwartz; Susan K Ewing; Anne M Porzig; Charles E McCulloch; Helaine E Resnick; Teresa A Hillier; Kristine E Ensrud; Dennis M Black; Michael C Nevitt; Steven R Cummings; Deborah E Sellmeyer
Journal:  Front Endocrinol (Lausanne)       Date:  2013-05-30       Impact factor: 5.555

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