背景神经传导研究有助于理解周围神经系统的各种病理。它有助于医生区分两种主要类型的外周病因:轴突变性和脱髓鞘。以过度脂肪沉积或肥胖形式的体重增加可能对神经传导产生令人担忧的影响。所以,找到各种人体测量参数(年龄,性别,高度,体重,腰臀比和体重指数)与运动和感觉正中神经传导参数(潜伏期,振幅和速度)进行了这项横断面研究。材料与方法共选取87名受试者及其身高,体重,使用标准技术测量腰臀比和体重指数.在肌电图机上测量运动和感觉神经传导参数。数据被存储,列表和分析。结果男性和女性受试者的平均身高±SD分别为1.699±0.072m和1.589±0.067m。男性和女性受试者的平均体重±SD分别为64.089±11.497kg和52.949±8.404kg,分别。正常的平均BMI,体重不足和超重受试者的±SD分别为21.668±2.048kg/m2,17.074±0.794kg/m2和26.595±0.915kg/m2。体重与运动正中神经传导的潜伏期具有显着相关性(p=0.0025)。在男性和女性受试者中,腰臀比与运动正中神经传导速度显着相关(p=0.042和p=0.036)。分别。超重类别的BMI与运动正中神经传导研究的潜伏期和波幅有显著的相关性(p=0.0156和p=0.0290),分别。结论本研究表明,身体BMI的增加会影响神经传导。这可以作为评估肥胖对周围神经传导影响的初步研究,尤其是在印度人口中。
Background Nerve conduction studies ease the understanding of the various pathologies of the peripheral nervous system. It helps physicians to delineate between the two principal types of peripheral etiologies: axonal degeneration and demyelination. An increase in weight in the form of excessive fat deposition or obesity could have a worrisome effect on nerve conduction. So, to find the association of various anthropometric parameters (age, gender, height, weight, waist-hip ratio and body mass index) with motor and
sensory median nerve conduction parameters (latency, amplitude and velocity) this cross-sectional
study was conducted. Materials and method A total of 87 subjects were taken and their height, weight, waist-hip ratio and body mass index were measured using standard techniques. Motor and
sensory nerve conduction parameters were measured on an electromyography machine. Data was stored, tabulated and analyzed. Results The average height of male and female subjects ± SD was 1.699 ± 0.072 m and 1.589 ± 0.067 m respectively. The average weight of male and female subjects ± SD was 64.089 ± 11.497 kg and 52.949 ± 8.404 kg, respectively. The average BMI of normal, underweight and overweight subjects ± SD was 21.668 ± 2.048 kg/m2, 17.074 ± 0.794 kg/m2 and 26.595 ± 0.915 kg/m2 respectively. Weight showed a significant (p = 0.0025) correlation with the latency of motor median nerve conduction. Waist-hip ratio showed a significant (p = 0.042 and p = 0.036) correlation with motor median nerve conduction velocity in both male and female subjects, respectively. BMI in the overweight category showed a significant (p = 0.0156 and p = 0.0290) correlation with latency and amplitude of motor median nerve conduction study, respectively. Conclusions This
study exemplifies that an increase in BMI of our body can affect nerve conduction. This could serve as a preliminary
study to assess the effect of obesity on peripheral nerve conduction, especially in the Indian population.