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

Publication: Applied Physiology, Nutrition, and Metabolism
29 October 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.

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Published In

cover image Applied Physiology, Nutrition, and Metabolism
Applied Physiology, Nutrition, and Metabolism
Volume 49Number 12December 2024
Pages: 1666 - 1677

History

Received: 4 June 2024
Accepted: 19 August 2024
Accepted manuscript online: 23 August 2024
Version of record online: 29 October 2024

Data Availability Statement

Data generated or analysed during this study are available from the corresponding author upon reasonable request.

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Key Words

  1. skeletal muscle
  2. muscle quality
  3. intramuscular fat
  4. habitual diet
  5. sarcopenia
  6. ageing

Authors

Affiliations

Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, United Kingdom
Author Contributions: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, and Writing – review & editing.
Georgia A. Scott
Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, United Kingdom
Author Contributions: Formal analysis, Software, Writing – original draft, and Writing – review & editing.
James N. Aggett
Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, United Kingdom
Author Contributions: Data curation, Formal analysis, Writing – original draft, and Writing – review & editing.
Georgina K. Stebbings
Manchester Metropolitan University Institute of Sport, Department of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, United Kingdom
Author Contributions: Methodology, Supervision, and Writing – review & editing.
Liam P. Kilduff
Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, United Kingdom
Welsh Institute of Performance Science, Swansea University, Swansea, United Kingdom
Author Contributions: Supervision, Writing – original draft, and Writing – review & editing.
Caoileann H. Murphy
Agrifood Business and Spatial Analysis, Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland
Author Contributions: Methodology, Supervision, Writing – original draft, and Writing – review & editing.
Mark Waldron
Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, United Kingdom
Welsh Institute of Performance Science, Swansea University, Swansea, United Kingdom
School of Health and Behavioural Sciences, University of the Sunshine Coast, Queensland, Australia
Author Contributions: Conceptualization, Formal analysis, Methodology, Supervision, Writing – original draft, and Writing – review & editing.
Shane M. Heffernan
Applied Sports, Technology, Exercise and Medicine Research Centre (A-STEM), Faculty of Science and Engineering, Swansea University, United Kingdom
Author Contributions: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, and Writing – review & editing.

Author Contributions

Conceptualization: JP, MW, SMH
Data curation: JP, JNA
Formal analysis: JP, GAS, JNA, MW, SMH
Investigation: JP, SMH
Methodology: JP, GKS, CHM, MW, SMH
Project administration: JP, SMH
Software: GAS
Supervision: GKS, LPK, CHM, MW, SMH
Writing – original draft: JP, GAS, JNA, LPK, CHM, MW, SMH
Writing – review & editing: JP, GAS, JNA, GKS, LPK, CHM, MW, SMH

Competing Interests

No potential conflict of interest was reported by the author(s).

Funding Information

No external funding was obtained for this study.

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