Dietary factors may be associated with measures of ultrasound-derived skeletal muscle echo intensity.

Joe Page, Georgia A Scott, James N Aggett, Georgina K Stebbings, Liam P Kilduff, Caoileann H Murphy, Mark Waldron, Shane M Heffernan
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Abstract

Skeletal muscle echo intensity (EI) is affected by ageing and physical activity; however, the effects of nutrition are less understood. The aim of this study was to explore whether habitual nutrient intake may be associated with ultrasound-derived EI. Partial least squares regression (PLSR) models were trained on an initial sample (n = 100, M = 45; F = 55; 38 ± 15 years) to predict EI of two quadriceps muscles from 19 variables, using the "jack-knife" function within the "pls" package (RStudio), which was then tested in an additional dataset (n = 30, M = 13; F = 17; 38 ± 16 years). EI was determined using B-mode ultrasonography of the rectus femoris (RF) and vastus lateralis (VL) and nutritional intake determined via 3-day weighed food diaries. Mean daily intake of specific nutrients were included as predictor variables with age, sex, and self-reported physical activity. PLSR training model 1 explained ∼52% and model 2 ∼46% of the variance in RF and VL EI, respectively. Model 1 also explained ∼35% and model 2 ∼30% of the variance in RF and VL EI in the additional testing dataset. Age and biological sex were associated with EI in both models (P < 0.025). Dietary protein (RF: β = -7.617, VL: β = -7.480), and selenium (RF: β = -7.144, VL: β = -4.775) were associated with EI in both muscles (P < 0.05), whereas fibre intake (RF: β = -5.215) was associated with RF EI only and omega-3 fatty acids (n-3/ω-3 FAs, RF: β = 3.145) with VL EI only (P < 0.05). Therefore, absolute protein, selenium, fibre, and n-3 FAs may be associated with skeletal muscle EI, although further mechanistic work is required before claiming causal inference.

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饮食因素可能与骨骼肌超声回波强度测量有关
骨骼肌回声强度(EI)会受到年龄增长和体力活动的影响;然而,人们对营养的影响却知之甚少。本研究旨在探讨习惯性营养摄入是否与超声波得出的 EI 相关。使用 "pls "软件包(RStudio)中的 "jack-knife "功能,在初始样本(n=100,男=45;女=55;38±15岁)上训练了偏最小二乘回归(PLSR)模型,以从19个变量中预测两块股四头肌的EI,然后在额外的数据集(n=30,男=13;女=17;38±16岁)中进行了测试。通过对股直肌 (RF) 和股外侧肌 (VL) 进行 B 型超声波检查确定 EI,并通过三天称重食物日记确定营养摄入量。特定营养素的日平均摄入量与年龄、性别和自我报告的体力活动一起被列为预测变量。PLSR训练模型1和模型2分别解释了RF和VL EI方差的约52%和约46%。在附加测试数据集中,模型 1 还能解释 RF 和 VL EI 变异的 ~35%,模型 2 能解释 ~30%。在两个模型中,年龄和生理性别都与 EI 有关(P
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