Electronic Devices May Contribute to Carpal Tunnel Syndrome
|
By HospiMedica International staff writers Posted on 05 Jul 2017 |
Intensive users of handheld electronic devices suffer more wrist and hand pain than non-intensive users, according to a new study.
Researches at Hong Kong Polytechnic University (Kowloon, China) conducted a study among 48 university students, half of them intensive users (over five hours a day of interaction with electronic devices), and half of them non-intensive users (less than five hours a day of electronic devices usage). Study participants filled in a questionnaire, completed provocative tests, and underwent ultrasonic measurement of carpal tunnel morphological parameters. All participants were right-handed.
The results showed that intensive users had significantly more positive results in Phalen's and Durkan's tests and reported more wrist and hand pain than non-intensive users. They also had significantly larger median nerve cross-sectional areas, flattening ratios, and perimeters, as well as greater bowing of the transverse carpal ligament compared with non-intensive users, resulting in numbness, tingling, and pain in the hand. The study was published on June 21, 2017, in Muscle & Nerve.
“Our prior work identified that out of 500 students, 54% of intensive users and 12% non-intensive users reported musculoskeletal symptoms in relation to use of electronic devices. We randomly selected 48 students for further investigation, and our results showed that excessive use of electronic devices may be linked to a greater risk of developing carpal tunnel syndrome,” said study author Peter White, PhD. “Therefore, vigilance in educating and monitoring young people using electronic devices is important, especially children and adolescents, as they are less capable of self-regulating.”
Carpal tunnel syndrome is a median entrapment neuropathy that causes paresthesia, pain, numbness, and other symptoms in the distribution of the median nerve. It appears to be caused by a combination of genetic and environmental factors, including diabetes, pregnancy, obesity, hypothyroidism, and heavy manual work or work with vibrating tools. Other disorders such as bursitis and tendinitis have been associated with repeated motions performed in the course of normal work or other activities.
Related Links:
Hong Kong Polytechnic University
Researches at Hong Kong Polytechnic University (Kowloon, China) conducted a study among 48 university students, half of them intensive users (over five hours a day of interaction with electronic devices), and half of them non-intensive users (less than five hours a day of electronic devices usage). Study participants filled in a questionnaire, completed provocative tests, and underwent ultrasonic measurement of carpal tunnel morphological parameters. All participants were right-handed.
The results showed that intensive users had significantly more positive results in Phalen's and Durkan's tests and reported more wrist and hand pain than non-intensive users. They also had significantly larger median nerve cross-sectional areas, flattening ratios, and perimeters, as well as greater bowing of the transverse carpal ligament compared with non-intensive users, resulting in numbness, tingling, and pain in the hand. The study was published on June 21, 2017, in Muscle & Nerve.
“Our prior work identified that out of 500 students, 54% of intensive users and 12% non-intensive users reported musculoskeletal symptoms in relation to use of electronic devices. We randomly selected 48 students for further investigation, and our results showed that excessive use of electronic devices may be linked to a greater risk of developing carpal tunnel syndrome,” said study author Peter White, PhD. “Therefore, vigilance in educating and monitoring young people using electronic devices is important, especially children and adolescents, as they are less capable of self-regulating.”
Carpal tunnel syndrome is a median entrapment neuropathy that causes paresthesia, pain, numbness, and other symptoms in the distribution of the median nerve. It appears to be caused by a combination of genetic and environmental factors, including diabetes, pregnancy, obesity, hypothyroidism, and heavy manual work or work with vibrating tools. Other disorders such as bursitis and tendinitis have been associated with repeated motions performed in the course of normal work or other activities.
Related Links:
Hong Kong Polytechnic University
Latest Critical Care News
- Inhaled Analgesic Matches Morphine for Prehospital Trauma Pain
- FDA Clears Tongue-Applied Neuromodulation System for Stroke Gait Rehabilitation
- Eye Test May Predict Return of Consciousness After Severe Brain Injury
- Medical Drone Program Improves Blood Access and Patient Survival
- AI System Enables Real-Time Sepsis Quality Assessment and Improves Adherence
- AI Detects Hidden ECG Marker of Sudden Cardiac Death
- FDA-Cleared AI Wearable Monitor Detects Opioid-Related Respiratory Risk in Hospitals
- Mitral Valve Repair Device Receives EU Approval for Functional Regurgitation
- AI Risk Score Reveals Hidden Hypertension-Related Organ Damage
- AI Tool Predicts Bronchopulmonary Dysplasia Risk in Preterm Infants
- Optical Brain Monitoring Predicts Neurodevelopmental Outcomes in Preterm Infants
- AI Tool Identifies Children With Pneumonia Requiring Hospital Care
- AI Ultrasound System Improves Safety of Blood–Brain Barrier Opening
- CE-Marked Smartphone AI Enables Autonomous Skin Cancer Assessment at Point of Care
- Handheld Optical Device Screens for Early Necrotizing Enterocolitis in Preterm Infants
- Home Blood Pressure Telemonitoring Linked to Fewer Cardiovascular Events
Channels
Artificial Intelligence
view channel
AI Trends Report Guides Responsible, Effective Healthcare Deployment
Hospitals are under growing pressure to adopt artificial intelligence tools that improve safety, efficiency, and continuity of care without compromising quality. At the same time, clinicians need clearer... Read more
Privacy-Preserving AI Protects Sensitive Information in ECG Data
Artificial intelligence applied to electrocardiography can extract more than cardiac rhythm. Algorithms can infer age, sex, race, and even identity from electrocardiogram (ECG) signals, creating privacy... Read moreSurgical Techniques
view channel
Aortic Arch Remodeling Device Improves Type I Dissection Repair
Acute DeBakey Type I aortic dissection is an emergent tear of the ascending aorta that can extend into the arch and descending thoracic aorta. Rapid ischemic complications and high early mortality make... Read more
Intravesical CAR T Therapy Shows Promise for Bladder Cancer Treatment
Bladder cancer is common and frequently recurs after initial therapy, exposing patients to repeated procedures and cumulative toxicity. High‑risk disease often progresses despite intravesical drugs or... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read moreHealth IT
view channel
Digital Heart Model Supports Targeted Ablation in Atrial Fibrillation
Atrial fibrillation is an erratic, quivering heartbeat and a leading cause of stroke. Catheter ablation is widely used to interrupt arrhythmogenic tissue, yet many patients—especially with persistent ... Read moreAI Framework Helps Clinicians Create Trustworthy Risk Prediction Tools
Artificial intelligence (AI) is increasingly used to estimate risks for conditions such as sepsis, heart disease, and cancer, yet many models remain difficult for clinicians to interpret or trust.... Read morePoint of Care
view channel
AI Dermatology Platform Targets Early Detection of Non-Melanoma Skin Cancer
Keratinocyte skin cancers, including basal cell and squamous cell carcinoma, account for a substantial share of dermatology workload in the United States and require accurate triage to guide biopsy decisions.... Read more







