2019
DOI: 10.1123/ijatt.2018-0095
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Correlations Between Anthropometric Measures and Muscle Thickness Using Ultrasound Imaging

Abstract: Ultrasound imaging has been used to assess muscle function of deeper muscles and to compare individuals with and without low back pain. These measures may be influenced by numerous factors requiring normalization for these comparisons. The purpose of this study was to assess anthropometric normalization variables with muscle thickness of the transversus abdominis and lumbar multifidus across multiple ultrasound testing positions. Numerous anthropometric variables were correlated with muscle thickness. Mass, bo… Show more

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Cited by 3 publications
(3 citation statements)
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“…One explanation for this contrast may be different baseline characteristics of participants and the presentation of non-normalized data. A correlation has been found to exist between the muscle thickness and anthropometric data, so muscle thickness data are recommended to be normalized in future studies [23]. Accordingly, normalized thickness changes were analyzed in this study to address this issue.…”
Section: Discussionmentioning
confidence: 99%
“…One explanation for this contrast may be different baseline characteristics of participants and the presentation of non-normalized data. A correlation has been found to exist between the muscle thickness and anthropometric data, so muscle thickness data are recommended to be normalized in future studies [23]. Accordingly, normalized thickness changes were analyzed in this study to address this issue.…”
Section: Discussionmentioning
confidence: 99%
“…As muscle morphology is in uenced by age, sex, physical activity levels and body composition, (21,22) adjusting for such anthropometric factors is critical when assessing the relation between LM morphology and lumbar pathology. Body mass index (BMI) is most frequently used to adjust for inter-subject variability; however, it remains a poor indicator of body composition, especially in athletic populations.…”
Section: Introductionmentioning
confidence: 99%
“…Body mass index (BMI) is most frequently used to adjust for inter-subject variability; however, it remains a poor indicator of body composition, especially in athletic populations. (22) While dual energy X-ray absorptiometry is the gold standard to assess body composition, it is costly and not readily accessible. Multi-frequency Bioimpedance Analysis (MF-BIA) is an accurate, quick, noninvasive, portable and affordable alternative.…”
Section: Introductionmentioning
confidence: 99%