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Related Experiment Videos

Bone density, biochemistry and life-style

S L Allaway1, D Robinson, A R Bailey

  • 1BUPA Medical Research and Development Ltd., London, U.K.

Methods of Information in Medicine
|April 1, 1993
PubMed
Summary
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This study identified key predictors for low bone density in postmenopausal women, including age and specific biochemical markers. A screening model achieved 73% sensitivity and 95% specificity for identifying osteoporosis risk.

Area of Science:

  • Endocrinology and Metabolism
  • Bone Biology and Osteoporosis Research

Background:

  • Osteoporosis is a significant public health concern, particularly in postmenopausal women.
  • Early identification of individuals at risk for low bone density is crucial for timely intervention.

Purpose of the Study:

  • To assess the relationship between bone density, biochemical markers, and lifestyle factors.
  • To develop a predictive model for identifying women at risk of low bone density.

Main Methods:

  • Cross-sectional study involving 434 premenopausal and 357 postmenopausal women.
  • Bone mineral content (BMC) measured by single-photon densitometry; bone mass corrected for bone size (BMC2).
  • Multiple regression and logistic regression analyses used to identify predictors of bone density and women at risk.

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Main Results:

  • A predictive model for postmenopausal women, using BMC2, age, creatinine, alkaline phosphatase, thyroxine treatment, and calcium supplementation, achieved 73% sensitivity and 95% specificity.
  • Identified key biochemical and lifestyle factors associated with bone density.

Conclusions:

  • A screening model incorporating specific predictors can effectively identify postmenopausal women at risk of low bone density.
  • This model may serve as a valuable initial screening tool for osteoporosis.