Prediction model for the risk of neck/shoulder pain based on data mining techniques
- Conditions
- Not Applicable
- Registration Number
- KCT0003591
- Lead Sponsor
- Yonsei University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot yet recruiting
- Sex
- All
- Target Recruitment
- 320
Male/Female 20-55 years old
Experimental group : Shoulder or Neck pain for more than 2 months, Experience of tenderness of UT more than twice over the past week, Numeric pain rating scale(NPRS) > 3, Pressure Pain Threshold (UT)- male : <2.9?/?- female : <2.0?/?
Control group : participant without upper trapezius myofascial trigger points
Any systemic disease
a history of fracture or surgery in the shoulder
Neurological diseases, internal diseases
Psychiatric disorders
Age > 55 or Age < 20
Study & Design
- Study Type
- Observational Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method flexibility of glenohumeral joint and neck;strength of scpular protractor and elbow flexor;postrue of neck and shoulder
- Secondary Outcome Measures
Name Time Method Questionnaire (Activity related to lift heavy thing, overhead activity)