ReviewOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2003
Superiority of age and weight as variables in predicting osteoporosis in postmenopausal white women.
Review in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Osteoporosis Self-Assessment Tool versus alternative tests for selecting postmenopausal women for bone mineral density assessment: a comparative systematic review of accuracy.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2009Pooled it
- Effects of D-003 (10 mg/day) on bone mineral density of the lumbar spine and femoral neck in postmenopausal women: a randomized, double-blinded study.The Korean journal of internal medicine · 2011Trial
- How prevalent is osteoporosis in a high-risk subgroup? A multicenter study of postmenopausal women hospitalized for fractures in China.BMC musculoskeletal disorders · 2026Article
- Genetic Perspective on the Relationship between Female Reproductive Traits, Exercise, and Bone Health Outcomes: Evidence from a National Database.Lifestyle genomics · 2026Article
- FAERS-based pharmacovigilance and network toxicology analysis of esomeprazole-associated osteoporosis.PloS one · 2026Article
- Identifying modifiable factors and their causal effects on osteoporosis risk.Scientific reports · 2025Article
- Association of obstructive sleep apnea with bone metabolism in older adults: a hospital-based study.BMC musculoskeletal disorders · 2024Article
- Article
- Higher weight in partially leptin-resistant db/+ mice is associated with positive effects on bone.The Journal of endocrinology · 2023Article
- Association between BMI variability and risk of fracture among Korean men and women: a population based study.Archives of osteoporosis · 2021Article
- Femoral neck and spine bone mineral density-Surrogate marker of aortic calcification in postmenopausal women.Anatolian journal of cardiology · 2016Article
- Paradoxical effects of partial leptin deficiency on bone in growing female mice.Anatomical record (Hoboken, N.J. : 2007) · 2015Article
- The impact of obesity on the presentation of primary hyperparathyroidism.The Journal of clinical endocrinology and metabolism · 2014Article
- A correlation exists between subchondral bone mineral density of the distal radius and systemic bone mineral density.Clinical orthopaedics and related research · 2012Article
- Inverse relationship between body mass index and coronary artery calcification in patients with clinically significant coronary lesions.Atherosclerosis · 2012Article
- Article
- Follicle-stimulating hormone and bioavailable estradiol are less important than weight and race in determining bone density in younger postmenopausal women.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2011Article
- Adipose tissue and volumetric bone mineral density of older Afro-Caribbean men.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2010Article
- Could martial arts fall training be safe for persons with osteoporosis?: a feasibility study.BMC research notes · 2010Article
- Quantitative heel ultrasonography, 25-hydroxyvitamin D, and urine amino-terminal cross-linking telopeptide of type I collagen in patients with a recent hip fracture.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2009Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledIdentification of women at risk for osteoporosis is of great importance for the prevention of osteoporotic fractures. Routine BMD measurement of all women is not feasible for most populations, hence identification of a high-risk subset of women is an important element of effective preventive strategies.
methodsWe identified 959 postmenopausal non-Hispanic women aged 51 years and above from the NHANES III study to assess the relative contribution of risk predictors for low BMD at the whole proximal femur and the femoral neck regions. Based on recognized risk factors for osteoporosis identified by a systematic literature search, we ran several multiple linear regression models based on the results of preceding bivariate analyses. We show several models based on their explanatory ability assessed by adjusted r(2), ROC, and C-value analyses rather than on the coefficients and P values. We furthermore examined the sensitivity, specificity, and predictive values of our preferred models for various cutoff T-scores-the choice of which will vary depending on different study goals and population characteristics.
resultsAge and weight were by far the most informative predictors for low bone mineral density out of a list of 20 candidate risk predictors. Our preferred prediction models for the two regions hence contained only two variables: i.e., age and measured weight. The resulting parsimonious model to predict BMD at whole proximal femur had an adjusted r(2) of 0.43, an area under the ROC curve of 0.85, and a C-value of 0.70. Similarly, prediction for BMD at the femoral neck had adjusted r(2), area under the curve, and C-value of 0.39, 0.83, and 0.66, respectively.
conclusionsThe model equations, predicted T-score = -1.332-0.0404 x (age) + 0.0386 x (measured weight) and predicted T-score = -1.318-0.0360 x (age) + 0.0314 x (measured weight) for whole proximal femur and femoral neck, respectively, can be used in field conditions for screening purposes. More complex prediction equations add little explanatory power. Based on the study goals and the population characteristics, specific cutoff T-scores have to be decided before using these equations.
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