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临床试验/CTRI/2025/05/087415
CTRI/2025/05/087415已完成不适用

Impact Of Smartphone Usage While Walking on Dynamically Challenging Ground on the Gait and Posture in College Students

Nitte Deemed to be University1 个研究点 分布在 1 个国家目标入组 122 人开始时间: 2025年7月1日最近更新:

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
122
试验地点
1
主要终点
2-D Gait Analysis

研究概览

简要总结

This study investigates the impact of smartphone usage on gait and posture in college students while walking on dynamically challenging ground. The dual-task interference posed by smartphone use, which reduces situational awareness and affects gait and posture, increasing fall risk. This is a cross-sectional observational design study involving 122 university students selected through convenience sampling. Participants are assessed using the Smartphone Addiction Scale-Short Version (SAS-SV), and gait/posture parameters are measured via 2-D gait analysis using GaitON or Kinovea software. The walking tasks are conducted under three conditions: without smartphone, with smartphone, and on unimpeded ground, across dynamically challenging surfaces created using obstacles. Gait and Postural parameters will be analyzed at one-minute intervals over a three-minute trial. This approach aims to evaluate how smartphone distractions influence biomechanical and postural adaptations during multitasking in real-life walking scenarios.

研究设计

研究类型
Observational

入排标准

年龄范围
18.00 Year(s) 至 27.00 Year(s)(—)
性别
All

入选标准

  • University students of NITTE Deemed to be University Age 18–27-year old Using smartphone for minimum 1 year SAS-SV score more than 31 for boys and 33 for girls BMI ranging from 18.5 – 29.9 Kg/m2.

排除标准

  • Individuals with a history of ankle injury in the past 6 months.
  • Individuals with vestibular problems, visual problems.
  • Individuals with a history of spine or lower limb surgery in past 6 months.
  • Individuals with spinal deformity (e.g. scoliosis, kyphosis).

结局指标

主要结局

2-D Gait Analysis

时间窗: 2-D Gait Analysis will be assessed in one session on 1st week of recruitment.

次要结局

  • SAS-SV (Smartphone Addiction Scale-Short Version)(SAS-SV will be assessed at the baseline.)

研究者

发起方
Nitte Deemed to be University
申办方类型
Research institution and hospital
责任方
Principal Investigator
主要研究者

Aabha Ashok Singh

Nitte Institute of Physiotherapy

研究点 (1)

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