ArticleRheumatology international2023
Effect of the body mass index, basal metabolic rate, and body fat on the radiofrequency echographic multi-spectrometry (REMS)-based bone mineral density and fracture risk: a cross-sectional study.
Article in Rheumatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Basal metabolic rate as a protective factor against osteoporosis: a multi-cohort longitudinal study from three international aging databases.Frontiers in nutrition · 2026Article
- Association of serum urea-to-creatinine and creatinine-to-cystatin C ratios with bone mineral density and osteoporosis: a cross-sectional study.Scientific reports · 2025Article
- Machine learning-based survival models for predicting rehospitalization of older hip fracture patients: a retrospective cohort study.BMC musculoskeletal disorders · 2025Article
- Combining OSTA and BMR to predict osteoporosis in Chinese population.Journal of orthopaedic surgery and research · 2024Article
- Causal association of basal metabolic rate on systemic sclerosis: a bidirectional mendelian randomization study.Archives of dermatological research · 2024Article
- "Silent Bone-loss": Estimating Osteoporosis Risk among Postmenopausal Indian Women using a Self-assessment Tool.Journal of mid-life healthArticle
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6 authors at 4 institutions in 1 country.
Funding
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Abstract
Radiofrequency echographic multi-spectrometry (REMS) is a method to assess bone mineral density (BMD) of the axial skeleton, fragility score (FS), body mass index (BMI), basal metabolic rate (BMR), and body fat (BF) in %. The aim of the study was to investigate the influence of the BMI, BMR, and BF on the BMD and fracture risk with REMS. We conducted a cross-sectional study among 313 women, aged 20-90 years who underwent a screening for osteoporosis with REMS. Kruskal-Wallis was used to analyze the differences in BMI, BMR, and BF between the groups according to the BMD: normal BMD, osteopenia and osteoporosis and differences in the FS, fracture risk assessment (FRAX) for major osteoporotic fractures and for hip fractures (HF) according to the BMI groups: underweight, normal weight, overweight, obese, and extreme obese. Linear regression was used to assess the correlations BMI-BMD, BMR-BMD, and BF-BMD. BMI, BMR, and BF differed significantly between the groups according to the BMD (p < 0.001, p = 0.028, and p < 0.001, respectively). BMR showed high positive correlation to BMD (R = 0.765) with 95% confidence interval (CI) [0.715, 0.807] and significance of p < 0.001. BMI correlated significantly to BMD (p < 0.001), the correlation was low positive (R = 0.362) with 95% CI [0.262, 0.455]. In the BMI groups, there was significant difference in FRAX for HF and FS with p value 0.014 and < 0.001, respectively. Subjects with low BMI, BMR, and BF are at high risk for osteoporosis. Underweight women show significantly high fracture risk, assessed with FRAX and FS.
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