Silar Gardy , Ada Sevinc , Jennifer Levee , Sofia V Ferreira , Julia-Rose Linardatos , Andrea R Josse , Tyler A Churchward-Venne , Jenna C Gibbs
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Studies of associations between dietary protein intake and advanced imaging-based measures of bone and muscle health in endurance athletes are limited.</div></div><div><h3>Objectives</h3><div>To examine the relationships between dietary protein intake and volumetric bone mineral density (vBMD), estimated bone strength (SSI<sub>p</sub> and BSI), areal BMD (aBMD), and muscle density, cross-sectional area (CSA), and strength in male and female endurance-trained individuals.</div></div><div><h3>Methods</h3><div>Fifty healthy young endurance-trained adults completed one-time measures. Peripheral quantitative computed tomography (pQCT) scans assessed tibial trabecular and cortical vBMD, BSI, SSI<sub>p</sub>, and calf muscle density and CSA. Dual-energy X-ray absorptiometry scans measured aBMD at the lumbar spine (LS) and proximal femur. Dietary protein intake (grams per kilogram of body mass per day) was calculated from 3-day 24-h dietary recalls.</div></div><div><h3>Results</h3><div>Bivariate analyses found no correlations between total dietary protein intake and pQCT-derived bone and muscle measures. However, protein intake from animal products was correlated with SSI<sub>p</sub> at the 38% (r = 0.39, <em>P</em> = 0.008) and 66% site (r = 0.44, <em>P</em> = 0.002), cortical vBMD (r = −0.34, <em>P</em> = 0.02) at the 66% site, and calf muscle CSA (r = 0.57, <em>P</em> <.001). Adjusted regression analyses revealed that higher total dietary protein intake was associated with higher LS aBMD (β = 0.398, <em>P</em> = 0.009).</div></div><div><h3>Conclusions</h3><div>Our findings suggest that there are no relationships between total dietary protein intake and pQCT measures in endurance-trained individuals. However, positive relationships were found with protein intake from animal products and tibial SSI<sub>p</sub> and muscle CSA. Additionally, our results suggest total dietary protein intake explains a small variance in LS aBMD. A future larger-scale analysis would benefit from stratifying associations by sex.</div></div>","PeriodicalId":10756,"journal":{"name":"Current Developments in Nutrition","volume":"9 6","pages":"Article 107459"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dietary Protein Intake and Its Associations With Bone Properties Using Peripheral Quantitative Computed Tomography and Dual-Energy X-Ray Absorptiometry in Endurance-Trained Individuals\",\"authors\":\"Silar Gardy , Ada Sevinc , Jennifer Levee , Sofia V Ferreira , Julia-Rose Linardatos , Andrea R Josse , Tyler A Churchward-Venne , Jenna C Gibbs\",\"doi\":\"10.1016/j.cdnut.2025.107459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Endurance athletes are at greater risk of compromised bone health due to elevated nutritional demands and high-volume training. Optimal nutritional intake is fundamental to support athlete bone health, and dietary protein is an essential nutrient for the maintenance of bone and muscle tissue. Studies of associations between dietary protein intake and advanced imaging-based measures of bone and muscle health in endurance athletes are limited.</div></div><div><h3>Objectives</h3><div>To examine the relationships between dietary protein intake and volumetric bone mineral density (vBMD), estimated bone strength (SSI<sub>p</sub> and BSI), areal BMD (aBMD), and muscle density, cross-sectional area (CSA), and strength in male and female endurance-trained individuals.</div></div><div><h3>Methods</h3><div>Fifty healthy young endurance-trained adults completed one-time measures. Peripheral quantitative computed tomography (pQCT) scans assessed tibial trabecular and cortical vBMD, BSI, SSI<sub>p</sub>, and calf muscle density and CSA. Dual-energy X-ray absorptiometry scans measured aBMD at the lumbar spine (LS) and proximal femur. Dietary protein intake (grams per kilogram of body mass per day) was calculated from 3-day 24-h dietary recalls.</div></div><div><h3>Results</h3><div>Bivariate analyses found no correlations between total dietary protein intake and pQCT-derived bone and muscle measures. However, protein intake from animal products was correlated with SSI<sub>p</sub> at the 38% (r = 0.39, <em>P</em> = 0.008) and 66% site (r = 0.44, <em>P</em> = 0.002), cortical vBMD (r = −0.34, <em>P</em> = 0.02) at the 66% site, and calf muscle CSA (r = 0.57, <em>P</em> <.001). Adjusted regression analyses revealed that higher total dietary protein intake was associated with higher LS aBMD (β = 0.398, <em>P</em> = 0.009).</div></div><div><h3>Conclusions</h3><div>Our findings suggest that there are no relationships between total dietary protein intake and pQCT measures in endurance-trained individuals. However, positive relationships were found with protein intake from animal products and tibial SSI<sub>p</sub> and muscle CSA. Additionally, our results suggest total dietary protein intake explains a small variance in LS aBMD. 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引用次数: 0
摘要
背景:由于高营养需求和高强度训练,耐力运动员骨骼健康受损的风险更大。最佳营养摄入是支持运动员骨骼健康的基础,膳食蛋白质是维持骨骼和肌肉组织的必需营养素。关于膳食蛋白质摄入量与耐力运动员骨骼和肌肉健康的高级成像测量之间关系的研究是有限的。目的探讨膳食蛋白质摄入量与男性和女性耐力训练个体的体积骨密度(vBMD)、估计骨强度(SSIp和BSI)、面积骨密度(aBMD)、肌肉密度、横截面积(CSA)和力量之间的关系。方法50例健康青年耐力训练成人完成一次性测量。外周定量计算机断层扫描(pQCT)评估胫骨小梁和皮质vBMD、BSI、SSIp和小腿肌肉密度和CSA。双能x线吸收仪扫描测量腰椎(LS)和股骨近端aBMD。膳食蛋白质摄入量(每天每公斤体重克数)是根据3天24小时饮食回顾计算的。结果双变量分析发现总膳食蛋白质摄入量与pqct衍生的骨骼和肌肉测量之间没有相关性。然而,动物产品蛋白质摄入量与38% (r = 0.39, P = 0.008)和66% (r = 0.44, P = 0.002)部位的SSIp、66%部位的皮质vBMD (r = - 0.34, P = 0.02)和小腿肌肉CSA (r = 0.57, P < 001)相关。校正回归分析显示,饲粮总蛋白质摄入量越高,LS aBMD越高(β = 0.398, P = 0.009)。结论我们的研究结果表明,在耐力训练个体中,总膳食蛋白质摄入量与pQCT值之间没有关系。然而,动物产品蛋白质摄入量与胫骨SSIp和肌肉CSA呈正相关。此外,我们的研究结果表明,总膳食蛋白质摄入量可以解释LS aBMD的小差异。未来更大规模的分析将受益于按性别分层的关联。
Dietary Protein Intake and Its Associations With Bone Properties Using Peripheral Quantitative Computed Tomography and Dual-Energy X-Ray Absorptiometry in Endurance-Trained Individuals
Background
Endurance athletes are at greater risk of compromised bone health due to elevated nutritional demands and high-volume training. Optimal nutritional intake is fundamental to support athlete bone health, and dietary protein is an essential nutrient for the maintenance of bone and muscle tissue. Studies of associations between dietary protein intake and advanced imaging-based measures of bone and muscle health in endurance athletes are limited.
Objectives
To examine the relationships between dietary protein intake and volumetric bone mineral density (vBMD), estimated bone strength (SSIp and BSI), areal BMD (aBMD), and muscle density, cross-sectional area (CSA), and strength in male and female endurance-trained individuals.
Methods
Fifty healthy young endurance-trained adults completed one-time measures. Peripheral quantitative computed tomography (pQCT) scans assessed tibial trabecular and cortical vBMD, BSI, SSIp, and calf muscle density and CSA. Dual-energy X-ray absorptiometry scans measured aBMD at the lumbar spine (LS) and proximal femur. Dietary protein intake (grams per kilogram of body mass per day) was calculated from 3-day 24-h dietary recalls.
Results
Bivariate analyses found no correlations between total dietary protein intake and pQCT-derived bone and muscle measures. However, protein intake from animal products was correlated with SSIp at the 38% (r = 0.39, P = 0.008) and 66% site (r = 0.44, P = 0.002), cortical vBMD (r = −0.34, P = 0.02) at the 66% site, and calf muscle CSA (r = 0.57, P <.001). Adjusted regression analyses revealed that higher total dietary protein intake was associated with higher LS aBMD (β = 0.398, P = 0.009).
Conclusions
Our findings suggest that there are no relationships between total dietary protein intake and pQCT measures in endurance-trained individuals. However, positive relationships were found with protein intake from animal products and tibial SSIp and muscle CSA. Additionally, our results suggest total dietary protein intake explains a small variance in LS aBMD. A future larger-scale analysis would benefit from stratifying associations by sex.