ArticleJournal of orthopaedic surgery and research2021
Predicting osteoporosis with body compositions in postmenopausal women: a non-invasive method.
Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02936336 (The Effect of Exercise Intervention on the Physical Fitness, Bone Mineral Density and Health-related Quality of Life in the Community's Older Adults), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Effect of Exercise Intervention on the Physical Fitness, Bone Mineral Density and Health-related Quality of Life in the Community's Older Adults
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mendelian randomization studies of risk and protective factors for osteoporosis: a systematic review and meta-analysis.Frontiers in endocrinology · 2024Pooled it
- The association between personal-social characteristics with bone mineral density in postmenopausal women with primary osteoporosis.Scientific reports · 2025Article
- The mediating role of body surface area-adjusted basal metabolic rate: effects of low muscle mass and central obesity on cognitive impairment in Chinese patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2024Article
- Current Status of the Diagnosis and Management of Osteoporosis.International journal of molecular sciences · 2022Review
- Effects of testosterone and exercise training on bone microstructure of rats.Veterinary world · 2022Article
- 12-week curcumin supplementation may relieve postexercise muscle fatigue in adolescent athletes.Frontiers in nutrition · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is a golden standard to establish the diagnosis of osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested.
methodsA total of 363 postmenopausal women over the age of 50 were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson's correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted, and the area under ROC curves (AUC) was determined to obtain the optimal cutoff values of the body composition variables for osteoporosis prediction.
resultsThe correlation coefficient of FFM, FM, FM ratio, and BMR with femur neck T-score was 0.373, 0.266, 0.165, and 0.369, respectively, while with spine T-score was 0.350, 0.251, 0.166, and 0.352, respectively (p < 0.01 for all). FFM, FM, and BMR showed an optimal cutoff value of 37.9 kg, 18.6 kg, and 1187.5 kcal, respectively, for detecting osteoporosis.
conclusionsThe present study provided a model to predict osteoporosis in postmenopausal women, and the optimal cutoff value of FFM, FM, and BMR could be calculated in the Asian population. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD.
trial registrationClinicalTrials.gov , NCT02936336 . Retrospectively registered on13 October 2016.
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