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Time Need to Detect Mobile Phone Use to Prevent Muscle Fatigue

Relation Between Muscle Fatigue And Time Use Of Smartphone In School Age Children

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04641208
Enrollment
150
Registered
2020-11-23
Start date
2020-02-10
Completion date
2021-03-10
Last updated
2020-11-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Mobile Phone Use

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.

Detailed description

-Purpose of the study: To investigate the electrical muscle activity during used mobile phone -Back ground : 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. -Hypotheses: There are no statistical significant relation between time of used smart phone and muscle fatigue. -Subjects: One hundred fifty healthy children of both genders will participate in this study. * Inclusion criteria: 1. Their ages ranges from 12-14 years. 2. Subjects of school age childhood. 3. Not rolled on any regular athletic activity. 4. Children should be at the same socioeconomic level. * Exclusion criteria: 1. Individual with neck pain 2. Any upper limb and spinal deviation. 3. Worker children. * Instrumentation: •Surface Electromyography (EMG) * Design of the study: 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.

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)

Sponsors

MTI University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
12 Years to 14 Years
Healthy volunteers
Yes

Inclusion criteria

1. Their ages ranges from 12-14 years. 2. Subjects of school age childhood. 3. Not rolled on any regular athletic activity. 4. Children should be at the same socioeconomic level

Exclusion criteria

1. Individual with neck pain 2. Any upper limb and spinal deviation. 3. Worker children.

Design outcomes

Primary

MeasureTime frameDescription
Maximum voluntary contraction and Root main square1 dayMaximum 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

Countries

Egypt

Contacts

Primary ContactRana N Hussien, MSc
rana.nabil.hussien@pt.mti.edu.eg01061164676

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026