Literature DB >> 16010446

A method for determining the grade of osteoporosis based on risk factors in postmenopausal women.

Demet Ofluoglu1, Osman Hakan Gunduz, Nural Bekirolu, Evren Kul-Panza, Gulseren Akyuz.   

Abstract

The aim of this study was to determine whether the probability of osteoporosis and osteopenia was affected by the risk factors, physical examination findings, or radiological investigations such as spinal X-rays in postmenopausal women. We assessed risk factors such as use of hormone replacement therapy, physical activity level, calcium intake, smoking, caffeine consumption, long-term immobilization, previous history of fracture, family history of fracture, presence of certain systemic diseases (hyperthyroidism or hyperparathyroidism), or use of medications (corticosteroids or others), physical examinations, and presence of vertebral fractures on spinal X-rays. Patients' bone mineral density (BMD) was evaluated using dual energy X-ray absorptiometry (DXA) in the lumbar spine, and we compared the risk factors between osteopenic and osteoporotic women according to DXA. We evaluated 235 postmenopausal women who attended our osteoporosis outpatient clinic. Those patients were divided into two groups as either osteopenic (n = 67, mean age: 63.1 years) or osteoporotic (n = 168, mean age: 66.2 years) according to WHO criteria. The lumbar spinal (L1-L2) T-score values were -1.5 +/- 0.6 and -3.1 +/- 0.6 in osteopenic and osteoporotic groups, respectively. There were significant differences between the two groups in terms of mean age and lumbar BMD (p = 0.009 and p < 0.001, respectively). We also observed that vertebral tenderness on palpation, back pain, and existing vertebral fracture (fx) were significantly different between the osteopenic and osteoporotic groups (p < 0.05). As a result of the statistical analysis, we found an equation to determine osteopenic and osteoporotic women by using those four factors (age, vertebral tenderness on palpation, back pain, and existing vertebral fx) in multivariate stepwise logistic regression. The equation is as follows: Y (DXA) = -2.9024 + 0.044 (age in year) + 0.819 (vertebral fx) + 0.877 (pain) + 1.136 (vertebral tenderness). We can estimate whether a postmenopausal woman is osteopenic or osteoporotic based on these risk factors by using the stepwise logistic regression equation.

Entities:  

Mesh:

Year:  2005        PMID: 16010446     DOI: 10.1007/s10067-005-1110-0

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  17 in total

1.  Prevalence of osteoporosis by educational level in a cohort of postmenopausal women.

Authors:  M Varenna; L Binelli; F Zucchi; D Ghiringhelli; M Gallazzi; L Sinigaglia
Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

2.  Interim report and recommendations of the World Health Organization Task-Force for Osteoporosis.

Authors:  H K Genant; C Cooper; G Poor; I Reid; G Ehrlich; J Kanis; B E Nordin; E Barrett-Connor; D Black; J P Bonjour; B Dawson-Hughes; P D Delmas; J Dequeker; S Ragi Eis; C Gennari; O Johnell; C C Johnston; E M Lau; U A Liberman; R Lindsay; T J Martin; B Masri; C A Mautalen; P J Meunier; N Khaltaev
Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

3.  Determinants of bone mineral density in middle aged men: a population-based study.

Authors:  J Huuskonen; S B Väisänen; H Kröger; C Jurvelin; C Bouchard; E Alhava; R Rauramaa
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

4.  Reference database for bone speed of sound measurement by a novel quantitative multi-site ultrasound device.

Authors:  M Weiss; A B Ben-Shlomo; P Hagag; M Rapoport
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

5.  Long-term risk of osteoporotic fracture in Malmö.

Authors:  J A Kanis; O Johnell; A Oden; I Sembo; I Redlund-Johnell; A Dawson; C De Laet; B Jonsson
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

6.  Visual assessment of vertebral deformity by X-ray absorptiometry: a highly predictive method to exclude vertebral deformity.

Authors:  J A Rea; J Li; G M Blake; P Steiger; H K Genant; I Fogelman
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

7.  Practical application of risk assessment.

Authors:  C Christiansen
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

8.  Guidelines for diagnosis and management of osteoporosis. The European Foundation for Osteoporosis and Bone Disease.

Authors:  J A Kanis; P Delmas; P Burckhardt; C Cooper; D Torgerson
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

9.  Monitoring osteoporosis therapy with bone densitometry: misleading changes and regression to the mean. Fracture Intervention Trial Research Group.

Authors:  S R Cummings; L Palermo; W Browner; R Marcus; R Wallace; J Pearson; T Blackwell; S Eckert; D Black
Journal:  JAMA       Date:  2000-03-08       Impact factor: 56.272

10.  Predicting fractures using bone mineral density: a prospective study of long-term care residents.

Authors:  K E Broe; M T Hannan; D K Kiely; C M Cali; L A Cupples; D P Kiel
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

View more
  1 in total

1.  Associations of Bone Mineral Density with Lean Mass, Fat Mass, and Dietary Patterns in Postmenopausal Chinese Women: A 2-Year Prospective Study.

Authors:  Yongjie Chen; Jing Xiang; Zhiqiang Wang; Yaming Xiao; Dongmei Zhang; Xia Chen; Huiting Li; Meina Liu; Qiuju Zhang
Journal:  PLoS One       Date:  2015-09-03       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.