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

Authors :
Page, Joe
Scott, Georgia A.
Aggett, James N.
Stebbings, Georgina K.
Kilduff, Liam P.
Murphy, Caoileann H.
Waldron, Mark
Heffernan, Shane M.
Source :
Applied Physiology, Nutrition & Metabolism. 2024, Vol. 49 Issue 12, p1666-1677. 12p.
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17155312
Volume :
49
Issue :
12
Database :
Academic Search Index
Journal :
Applied Physiology, Nutrition & Metabolism
Publication Type :
Academic Journal
Accession number :
181231555
Full Text :
https://doi.org/10.1139/apnm-2024-0256