Literature DB >> 1466605

Use of a risk factor and dietary calcium questionnaire in predicting bone density and subsequent bone loss at the menopause.

T D Spector1, A C Edwards, P W Thompson.   

Abstract

One hundred and thirty six healthy white females within 30 months of their last menstrual period (mean age 52 years) were examined to determine the usefulness of a risk factor questionnaire in predicting bone density and subsequent loss. Bone density was assessed at baseline and at 12 monthly intervals. None of the proposed risk factor variables with the exception of nulliparity correlated with the baseline spinal or femoral bone density. As a predictor of bone loss only drinking alcohol (more than four units/day) was significant. A risk factor score derived from the questionnaire before its administration did not correlate with baseline bone density or subsequent bone loss. In most normal women questioned soon after a natural menopause, an estimate of bone density and subsequent bone loss and hence osteoporotic risk cannot be reliably made using a simple risk factor questionnaire.

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Year:  1992        PMID: 1466605      PMCID: PMC1012467          DOI: 10.1136/ard.51.11.1252

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  6 in total

1.  Perimenopausal bone mass and risk factors.

Authors:  P J Elders; J C Netelenbos; P Lips; E Khoe; F C van Ginkel; K F Hulshof; P F van der Stelt
Journal:  Bone Miner       Date:  1989-11

2.  Prediction of osteoporotic fractures in the general population by a fracture risk score. A 9-year follow-up among middle-aged women.

Authors:  A M van Hemert; J P Vandenbroucke; J C Birkenhäger; H A Valkenburg
Journal:  Am J Epidemiol       Date:  1990-07       Impact factor: 4.897

3.  Determinants of bone density in normal women: risk factors for future osteoporosis?

Authors:  J C Stevenson; B Lees; M Devenport; M P Cust; K F Ganger
Journal:  BMJ       Date:  1989-04-08

4.  Prevention of spinal osteoporosis in oophorectomised women.

Authors:  R Lindsay; D M Hart; C Forrest; C Baird
Journal:  Lancet       Date:  1980-11-29       Impact factor: 79.321

5.  Screening for vertebral osteoporosis using individual risk factors. The Multicentre Vertebral Fracture Study Group.

Authors:  C Cooper; S Shah; D J Hand; J Adams; J Compston; M Davie; A Woolf
Journal:  Osteoporos Int       Date:  1991-10       Impact factor: 4.507

6.  Rising incidence of fracture of the proximal femur.

Authors:  W J Boyce; M P Vessey
Journal:  Lancet       Date:  1985-01-19       Impact factor: 79.321

  6 in total
  5 in total

1.  Different rates of forearm bone loss in healthy women with early or late menopause.

Authors:  G Luisetto; M Zangari; F Bottega; F Peccolo; P Galuppo; A Nardi; D Ziliotto
Journal:  Osteoporos Int       Date:  1995-01       Impact factor: 4.507

2.  Appendicular bone density, biochemical markers of bone turnover and lifestyle factors in female teachers of Southern Italy.

Authors:  M Mariconda; M Pavia; A Colonna; I F Angelillo; O Marsico; F Sanzo; C Mancuso; C Milano
Journal:  Eur J Epidemiol       Date:  1997-12       Impact factor: 8.082

3.  Utilizing a Digital Multi-Language Patient Questionnaire for Diagnostic Imaging Examinations.

Authors:  Nick N Maizlin; Nina P Singh; Sat Somers
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

4.  Bone mineral density and risk factors for osteoporosis--a population-based study of 1600 perimenopausal women.

Authors:  H Kröger; M Tuppurainen; R Honkanen; E Alhava; S Saarikoski
Journal:  Calcif Tissue Int       Date:  1994-07       Impact factor: 4.333

Review 5.  Dietary calcium intake and change in bone mineral density in older adults: a systematic review of longitudinal cohort studies.

Authors:  Sarah M Bristow; Mark J Bolland; Greg D Gamble; William Leung; Ian R Reid
Journal:  Eur J Clin Nutr       Date:  2021-06-15       Impact factor: 4.016

  5 in total

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