Scott Kylie, Nelson Jeff, Shamir Daniel, Wamsley Christa, Wood Ben, Erickson Mia
Physical Therapy Department, College of Health Sciences, Midwestern University, Glendale, AZ, USA.
Physical Therapy Department, College of Health Sciences, Midwestern University, Glendale, AZ, USA; DPT Student, Physical Therapy Department, College of Health Sciences, Midwestern University, Glendale, AZ, USA.
J Hand Ther. 2023 Oct-Dec;36(4):956-961. doi: 10.1016/j.jht.2022.10.009. Epub 2023 Mar 12.
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.
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/m and those with BMI ≥25kg/m. There were no statistically significant differences in CSA in the low- and high-use electronic device groups.
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.
本研究旨在确定年龄、体重指数（BMI）、体重、身高和腕围与正中神经横截面积（CSA）之间的关系。该研究还旨在检查报告电子设备使用量高（每天>4小时）的个体与报告使用量低（每天≤4小时）的个体之间CSA的差异。
材料/方法：112名健康个体自愿参与本研究。收集了人体测量学、人口统计学和自我报告的电子设备使用数据。使用超声从优势手腕的腕管入口处获取正中神经的横向图像。采用Spearman等级相关系数检验参与者特征（年龄、BMI、体重、身高和腕围）与CSA之间的相关性。分别使用Mann-Whitney U检验来检查40岁以下和40岁以上个体、BMI<25kg/m²和BMI≥25kg/m²个体以及高频和低频设备使用者之间CSA的差异。
BMI、体重和腕围与CSA显示出中等程度的相关性。40岁以下和40岁以上个体之间以及BMI<25kg/m和BMI≥25kg/m个体之间的CSA存在显著差异。低使用量和高使用量电子设备组之间的CSA没有统计学上的显著差异。
在检查正中神经的CSA时，应考虑包括年龄和BMI或体重在内的人体测量学和人口统计学特征，尤其是在确定诊断腕管综合征的切点时。
