Literature DB >> 1954420

Role of peak bone mass and bone loss in postmenopausal osteoporosis: 12 year study.

M A Hansen1, K Overgaard, B J Riis, C Christiansen.   

Abstract

OBJECTIVE: To examine the role of peak bone mass and subsequent postmenopausal bone loss in the development of osteoporosis and the reliability of identifying women at risk from one bone mass measurement and one biochemical assessment of the future bone loss.
DESIGN: Population based study.
SETTING: Outpatient clinic for research into osteoporosis.
SUBJECTS: 178 healthy early postmenopausal women who had participated in a two year study in 1977. 154 of the women underwent follow up examination in 1989, of whom 33 were excluded because of diseases or taking drugs known to affect calcium metabolism. MAIN OUTCOME MEASURES: Bone mineral content of the forearm and values of biochemical markers of bone turnover.
RESULTS: The average reduction in bone mineral content during 1977-89 was 20%, but the fast losers had lost 10.0% more than had the slow loser group (mean loss 26.6% in fast losers and 16.6% in slow losers; p less than 0.001). Prediction of future bone mineral content using baseline bone mineral content and estimated rate of loss gave results almost identical with the actual bone mineral content measured in 1989. Seven women had had a Colles' fracture and 20 a spinal compression fracture. The group with Colles' fracture had low baseline bone mineral content (34.7 (95% confidence interval 31.3 to 38.1) units v 39.4 (38.1 to 40.8) units in women with no fracture) whereas the group with spinal fracture had a normal baseline bone mineral content (38.1 (35.0 to 41.1) units) but an increased rate of loss (-2.4 (-3.5 to -1.3)%/year v -1.8 (-2.1 to -1.5)%/year in women with no fracture).
CONCLUSIONS: One baseline measurement of bone mass combined with a single estimation of the rate of bone loss can reliably identify the women at menopause who are at highest risk of developing osteoporosis later in life. The rate of loss may have an independent role in likelihood of vertebral fracture.

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Year:  1991        PMID: 1954420      PMCID: PMC1671323          DOI: 10.1136/bmj.303.6808.961

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  13 in total

1.  Epidemiology of vertebral fractures in women.

Authors:  L J Melton; S H Kan; M A Frye; H W Wahner; W M O'Fallon; B L Riggs
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2.  Prediction of rapid bone loss in postmenopausal women.

Authors:  C Christiansen; B J Riis; P Rødbro
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3.  Appendicular bone density and age predict hip fracture in women. The Study of Osteoporotic Fractures Research Group.

Authors:  S R Cummings; D M Black; M C Nevitt; W S Browner; J A Cauley; H K Genant; S R Mascioli; J C Scott; D G Seeley; P Steiger
Journal:  JAMA       Date:  1990-02-02       Impact factor: 56.272

4.  Comparison of single- and dual-photon absorptiometry in postmenopausal bone mineral loss.

Authors:  L Nilas; J Borg; A Gotfredsen; C Christiansen
Journal:  J Nucl Med       Date:  1985-11       Impact factor: 10.057

5.  Age-, sex-, and menopause-related changes of vertebral and peripheral bone: population study using dual and single photon absorptiometry and radiogrammetry.

Authors:  P Geusens; J Dequeker; A Verstraeten; J Nijs
Journal:  J Nucl Med       Date:  1986-10       Impact factor: 10.057

6.  Serum bone Gla-protein: a specific marker for bone formation in postmenopausal osteoporosis.

Authors:  J P Brown; P D Delmas; L Malaval; C Edouard; M C Chapuy; P J Meunier
Journal:  Lancet       Date:  1984-05-19       Impact factor: 79.321

7.  Usefulness of regional bone measurements in patients with osteoporotic fractures of the spine and distal forearm.

Authors:  L Nilas; J Pødenphant; B J Riis; A Gotfredsen; C Christiansen
Journal:  J Nucl Med       Date:  1987-06       Impact factor: 10.057

8.  Baseline measurement of bone mass predicts fracture in white women.

Authors:  S L Hui; C W Slemenda; C C Johnston
Journal:  Ann Intern Med       Date:  1989-09-01       Impact factor: 25.391

9.  Detection of prefracture spinal osteoporosis using bone mineral absorptiometry.

Authors:  P D Ross; R D Wasnich; J M Vogel
Journal:  J Bone Miner Res       Date:  1988-02       Impact factor: 6.741

10.  Ability of four different techniques of measuring bone mass to diagnose vertebral fractures in postmenopausal women.

Authors:  S M Ott; R F Kilcoyne; C H Chesnut
Journal:  J Bone Miner Res       Date:  1987-06       Impact factor: 6.741

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  121 in total

1.  The assembly of the adult skeleton during growth and maturation: implications for senile osteoporosis.

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2.  Low-magnitude mechanical loading becomes osteogenic when rest is inserted between each load cycle.

Authors:  Sundar Srinivasan; David A Weimer; Steven C Agans; Steven D Bain; Ted S Gross
Journal:  J Bone Miner Res       Date:  2002-09       Impact factor: 6.741

Review 3.  Population screening for osteoporosis to prevent fractures.

Authors:  T A Sheldon; N Freemantle; S Ibbotson; C Pollock; J Mason; A F Long
Journal:  Qual Health Care       Date:  1992-03

4.  Familial correlation of bone mineral density, birth data and lifestyle factors among adolescent daughters, mothers and grandmothers.

Authors:  Hiroaki Ohta; Tatsuhiko Kuroda; Yoshiko Onoe; Chie Nakano; Remi Yoshikata; Ken Ishitani; Kazunori Hashimoto; Miyoko Kume
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6.  Bone mineral density in children with chronic renal failure.

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7.  Outcome of muscle and bone development in congenital heart disease.

Authors:  Cordelia Witzel; Narayanswami Sreeram; Silke Coburger; Sabine Schickendantz; Konrad Brockmeier; Eckhard Schoenau
Journal:  Eur J Pediatr       Date:  2005-12-01       Impact factor: 3.183

8.  Mutifactorial analysis of risk factors for reduced bone mineral density in patients with Crohn's disease.

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Review 9.  Assessment of fracture risk.

Authors:  John A Kanis; Frederik Borgstrom; Chris De Laet; Helena Johansson; Olof Johnell; Bengt Jonsson; Anders Oden; Niklas Zethraeus; Bruce Pfleger; Nikolai Khaltaev
Journal:  Osteoporos Int       Date:  2004-12-23       Impact factor: 4.507

10.  The effect of age, weight, and lifestyle factors on calcaneal quantitative ultrasound: the ESOPO study.

Authors:  Silvano Adami; Sandro Giannini; Ruben Giorgino; GianCarlo Isaia; Stefania Maggi; Luigi Sinigaglia; Paolo Filipponi; Gaetano Crepaldi; Ombretta Di Munno
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