Singh Rachna, Roy Shubhajeet, Ghildiyal Archna, Verma Shivam
Medicine, Faculty of Medical Sciences, King George's Medical University, Lucknow, IND.
Surgery, Faculty of Medical Sciences, King George's Medical University, Lucknow, IND.
Cureus. 2024 Jul 6;16(7):e63946. doi: 10.7759/cureus.63946. eCollection 2024 Jul.
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/m, 17.074 ± 0.794 kg/m and 26.595 ± 0.915 kg/m 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.
背景 神经传导研究有助于理解周围神经系统的各种病理状况。它有助于医生区分两种主要的周围病因类型：轴索性变性和脱髓鞘。以过度脂肪沉积或肥胖形式出现的体重增加可能会对神经传导产生令人担忧的影响。因此，为了找出各种人体测量参数（年龄、性别、身高、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、波幅和速度）之间的关联，开展了这项横断面研究。
材料与方法 共选取87名受试者，使用标准技术测量他们的身高、体重、腰臀比和体重指数。在肌电图仪上测量运动和感觉神经传导参数。数据进行存储、制表和分析。
结果 男性和女性受试者的平均身高±标准差分别为1.699±0.072米和1.589±0.067米。男性和女性受试者的平均体重±标准差分别为64.089±11.497千克和52.949±8.404千克。正常、体重过轻和超重受试者的平均体重指数±标准差分别为21.668±2.048千克/平方米、17.074±0.794千克/平方米和26.595±0.915千克/平方米。体重与运动正中神经传导潜伏期呈显著（p = 0.0025）相关。腰臀比在男性和女性受试者中分别与运动正中神经传导速度呈显著（p = 0.042和p = 0.036）相关。超重类别中的体重指数分别与运动正中神经传导研究的潜伏期和波幅呈显著（p = 0.0156和p = 0.0290）相关。
结论 本研究表明，身体体重指数的增加会影响神经传导。这可作为评估肥胖对周围神经传导影响的初步研究，尤其是在印度人群中。
