2 + 2 (+ 2) = 4: A new approach for appendicular muscle mass assessment by ultrasound

2 + 2 (+ 2) = 4: A new approach for appendicular muscle mass assessment by ultrasound

The aim of this study was to develop new appendicular lean mass (ALM) prediction models based on ultrasound and anthropometric measurements. This was a cross-sectional assessment of a subsample from a population-based study (COMO VAI?), conducted with community-dwelling individuals ≥60 y of age livi...

Full description

Saved in:
Bibliographic Details
Published in:Nutrition (Burbank, Los Angeles County, Calif.) Vol. 83; p. 111056
Main Authors: Barbosa-Silva, Thiago G., Gonzalez, Maria Cristina, Bielemann, Renata M., Santos, Leonardo P., Costa, Caroline dos S., Menezes, Ana Maria B.
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-03-2021
Elsevier Limited
Subjects:
Anthropometry
Body composition
Body mass index
Body measurements
Circumferences
Data collection
Dual energy X-ray absorptiometry
Estimates
Geriatric assessment
Limbs
Magnetic resonance imaging
Mathematical models
Methods
Muscle mass
Muscles
Performance prediction
Population studies
Prediction models
Questionnaires
Regression analysis
Sarcopenia
Socioeconomic factors
Thigh
Ultrasonic imaging
Ultrasonic testing
Ultrasound
United Kingdom > UK
Brazil
Japan
Sarcopenia
Geriatric assessment
Ultrasound
Anthropometry
Muscle mass
Body composition
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The aim of this study was to develop new appendicular lean mass (ALM) prediction models based on ultrasound and anthropometric measurements. This was a cross-sectional assessment of a subsample from a population-based study (COMO VAI?), conducted with community-dwelling individuals ≥60 y of age living in a southern Brazilian city. ALM was measured by dual-energy x-ray absorptiometry (DXA). Muscle thickness (MT) from supine participants was assessed by ultrasound on the anterior aspect of both upper and lower limbs. Such measures, along with anthropometric data, were used to develop prediction models (multivariable linear regression) through the backward stepwise method. The study included 190 participants composed mainly of women, white, and middle-class individuals. The best ALM predictive performance was achieved by a model based on two “lengths” (height and arm length), two circumferences (dominant arm and thigh), and two ultrasound-measured MTs (dominant arm and thigh): R2 = 0.90, limits of agreement: ±2.36 kg. Closely satisfactory results were also achieved by an “abbreviated” model composed by the two aforementioned “lengths” and MTs (R2 = 0.89, limits of agreement: ±2.51 kg). ALM estimates from both equations were unbiased and similar to DXA measurements (P = 0.13 and 0.09, respectively). Bootstrap analysis favorably suggested the validity of the models. Based on two ultrasound assessments and a few anthropometric measurements, the developed equations produced accurate and unbiased ALM estimates in the sample. Hence: 2 MTs + 2 lengths (+ 2 circumferences) = 4 limbs' muscle mass. Such models might represent promising alternatives for muscle assessment among older individuals. •Ultrasound is a promising tool for assessing muscle, particularly in the setting of sarcopenia.•Prediction equations may be able to bypass the scarcity of ultrasound normative data.•Associating anthropometric measurements to ultrasound assessments may improve results.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0899-9007
1873-1244
DOI:10.1016/j.nut.2020.111056