The Associations Between Individual Anthropometric Measurements and Fracture Risk: A Mendelian Randomization Study

Abstract

Background The primary objective of this study was to investigate and substantiate the possible causal connections between measurements of body dimensions and the likelihood of experiencing fractures. Materials and Methods We employed a two-sample Mendelian randomization (MR) analysis to examine the associations between anthropometric measurements and two specific traits—bone mineral density and fracture risk. To ensure the credibility of our causal conclusions, we used the inverse variance weighted (IVW) method along with various sensitivity analyses. Results Our findings suggest a notable link between increased height and the likelihood of fractures. Specifically, employing the IVW method revealed that for every 10-cm increase in height, there was a 6.0% rise in fracture risk (odds ratio [OR], 1.06; 95% CI, 1.06–1.13; P =.0001). This outcome was further supported by both the weighted-median method and the MR-Egger method, with an OR of 1.10 (95% CI, 1.03–1.16; P =.0003) and an OR of 1.11 (95% CI, 1.08–1.17; P =.0020), respectively. No statistically significant associations were observed between other measurements, such as body mass index (BMI), waist-to-hip ratio adjusted for BMI, hip circumference adjusted for BMI, and waist circumference adjusted for BMI, and fracture risk. Sensitivity analyses, including MR-Egger regression's intercept test and multivariate testing, indicated no substantial presence of directional pleiotropy in instrumental variables, ensuring the stability and reliability of our analysis results. Conclusion Our study used MR to present genetic evidence supporting height as a distinct causal factor in fracture susceptibility. Our findings underscore the importance of incorporating anthropometric measurements into the development of strategies for preventing and treating osteoporosis. [ Orthopedics . 202x;4x(x):xx–xx.]