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Prediction model for the risk of neck/shoulder pain based on data mining techniques

Prediction model for the risk of upper trapezius pain with myofascial trigger points based on data mining techniques

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0003591
Enrollment
320
Registered
2019-03-06
Start date
2019-03-01
Completion date
Unknown
Last updated
2019-03-25

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

Conditions

None listed

Interventions

None listed

Sponsors

Yonsei University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 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

Exclusion criteria

Exclusion criteria: Any systemic disease a history of fracture or surgery in the shoulder Neurological diseases, internal diseases Psychiatric disorders Age > 55 or Age < 20

Design outcomes

Primary

MeasureTime frame
flexibility of glenohumeral joint and neck;strength of scpular protractor and elbow flexor;postrue of neck and shoulder—

Secondary

MeasureTime frame
Questionnaire (Activity related to lift heavy thing, overhead activity)—

Countries

Korea, Republic of

Contacts

Public ContactGyeong-tae Gwak

Yonsei University

tytyte@naver.com+82-33-760-2971

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026