Related Experiment Video
Updated: Aug 7, 2025
Screening of Axonal Degeneration in Carpal Tunnel Syndrome Using Ultrasonography and Nerve Conduction Studies
Published on: January 11, 2019
The effect of anthropometric characteristics and electronic device use on median nerve cross-sectional area: A
Kylie Scott1, Jeff Nelson2, Daniel Shamir2
1Physical Therapy Department, College of Health Sciences, Midwestern University, Glendale, AZ, USA.
Introduction:
This study aimed to identify the relationship between age, body mass index (BMI), weight, height, and wrist circumference and median nerve cross-sectional area (CSA). The study also aimed to examine the difference between CSA in individuals reporting a high amount (>4 hours per day) of electronic device use compared to those reporting a low amount (≤4 hours per day).
Materials/Methods:
One hundred twelve healthy individuals volunteered to participate in the study. Anthropometric, demographic, and self-reported electronic device usage data were collected. A transverse image of the median nerve was captured using ultrasonography from the dominant wrist at the carpal tunnel inlet . A Spearman's rho correlation coefficient was used to examine correlations between participant characteristics (age, BMI, weight, height, and wrist circumference) and CSA. Separate Mann-Whitney U tests were used to examine differences in CSA in those younger and older than age 40, in those with BMI <25 kg/m2 and BMI ≥25 kg/m2, and in high and low-frequency device users.
Results:
BMI, weight, and wrist circumference showed fair correlations with CSA. There were significant differences in CSA between individuals younger than 40 and those older than 40 and between individuals with BMI <25kg/m2 and those with BMI ≥25kg/m2. There were no statistically significant differences in CSA in the low- and high-use electronic device groups.
Discussion:
Anthropometric and demographic characteristics including age and BMI or weight should be considered when examining the CSA of the median nerve, especially when determining cut-off points for establishing a diagnosis of carpal tunnel syndrome.
