Time Need to Detect Mobile Phone Use to Prevent Muscle Fatigue
Relation Between Muscle Fatigue And Time Use Of Smartphone In School Age Children
1 other identifier
observational
150
1 country
1
Brief Summary
Using a smart phone while adopting a poor posture can cause various physical problems. The neck and shoulders are particularly vulnerable to pain due to smart phone use, with the muscles showing a high level of muscle fatigue, resulting in exhaustion and pain, Therefore, determining the durable time to use the smart phone will protect us from abnormal posture and protect our muscle and ligaments. Furthermore avoid the incorrect position of use smartphone position.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Feb 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 10, 2020
CompletedFirst Submitted
Initial submission to the registry
September 20, 2020
CompletedFirst Posted
Study publicly available on registry
November 23, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 10, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
March 10, 2021
CompletedNovember 23, 2020
November 1, 2020
1 year
September 20, 2020
November 20, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Maximum voluntary contraction and Root main square
Maximum voluntary contraction and Root main square by using electromyography (EMG) of the upper trapezius (UT), brachioradialis (BR), flexor carpi ulnaris (FCU), and abductor pollicis brevis (APB) during phone operation
1 day
Interventions
The root mean square (RMS) of the signal will be calculated by using electromyography, and were normalized to the EMG data maximum voluntary isometric contraction (MVIC)
Eligibility Criteria
All subjects shouldn't use the phone for an hour before the measurement Each child setting in a chair with their feet on the floor and the elbow slight flexion, holding a smartphone in favorite position of used smart phone using EMG surface electrode to record the muscle activity of the upper trapezius (UT), brachioradialis (BR), flexor carpi ulnaris (FCU), and abductor pollicis brevis (APB) during phone operation EMG signals are detected and the motor unite potential are measured until detecting changes in motor action potential. The root mean square (RMS) of the signal will be calculated, and were normalized to the EMG data maximum voluntary isometric contraction (MVIC)
You may qualify if:
- Their ages ranges from 12-14 years.
- Subjects of school age childhood.
- Not rolled on any regular athletic activity.
- Children should be at the same socioeconomic level
You may not qualify if:
- Individual with neck pain
- Any upper limb and spinal deviation.
- Worker children.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- MTI Universitylead
Study Sites (1)
Faculty of Pysical Therapy, 6 Oct University
Giza, Egypt
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- principal investigator
Study Record Dates
First Submitted
September 20, 2020
First Posted
November 23, 2020
Study Start
February 10, 2020
Primary Completion
February 10, 2021
Study Completion
March 10, 2021
Last Updated
November 23, 2020
Record last verified: 2020-11
Data Sharing
- IPD Sharing
- Will not share