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Effect of Deep Neck Flexors Biofeedback Training and Post Isometric Relaxation in Chronic Mechanical Neck Pain

Cairo University (CU) logo

Cairo University (CU)

Status

Not yet enrolling

Conditions

Deep Neck Flexors Training
Post Isometric Relaxation

Treatments

Device: infra red radiation
Other: post isometric relaxation
Device: pressure biofeedback
Device: therapeutic ultra sound

Study type

Interventional

Funder types

Other

Identifiers

NCT06107270
DNFT+PIR technique

Details and patient eligibility

About

This study will be conducted to explore the superiority of effectiveness between Muscle energy technique combined with Deep Neck Flexors training, MET alone, or DNF training alone in terms of pain intensity, neck function, forward head posture, cervical range of motion and Deep Neck Flexors Muscles endurance in patients with chronic mechanical neck pain(CMNP).

Full description

Patients will be grouped into three groups; each group composed of 15 patients suffering from CMNP. The personal history of each patient who participated in the study will be collected, the patient will receive an oral explanation of the procedures and signed a consent form . The weight and height of each patient will be obtained using the standard weight scale. The pain intensity level will be assessed via a visual analogue scale (VAS). The disability level will be assessed via neck disability index (NDI). The forward head posture will be assessed via photographic method of Craniovertebral angle (CVA) and the angle will be calculated by using kinovea software. The range of motion will be assessed via universal goniometer (UG). The endurance of the neck muscles will be assessed via pressure biofeedback unit (PBU). Assessment will be done before treatment and after 12 treatment sessions.

Enrollment

45 estimated patients

Sex

All

Ages

20 to 40 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Age group 20-40 years of female and male patient.
  2. Patient with neck pain duration more than 3 months and less than one year.
  3. Subjects who could not maintain blood pressure at increments of 24 mmHg from the initial 20 mm Hg
  4. Patients who have moderate neck pain and disability scoring 15 to 24 from 50 on neck disability index. .
  5. Pain intensity more than 3 and less than 7 on visual analogue scale (VAS)
  6. CVA less than 49°

Exclusion criteria

  1. People with severe neck pain. (Disability scoring more than 25 on Neck Disability Index)
  2. If they are participated in a neck rehabilitation program over the last 6 months
  3. Major circulatory or respiratory disorder
  4. Pregnant women or 3 months postnatal
  5. Patient with structural instability and degenerative conditions of cervical spine.
  6. Body Mass Index more than 30.
  7. Post traumatic or infective conditions.
  8. Any surgeries around cervical spine
  9. Vertigo patient
  10. Un-cooperative patient (Gupta et al., 2022).

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

45 participants in 3 patient groups

Group A
Experimental group
Description:
(n=15) will be treated by Post Isometric Relaxation, infrared radiation and continuous ultrasound for 12 sessions (3 sessions per week for four weeks).
Treatment:
Device: infra red radiation
Other: post isometric relaxation
Device: therapeutic ultra sound
Group B
Experimental group
Description:
(n=15) will be treated by DNF training, infrared radiation and continuous ultrasound for 12 sessions (3 sessions per week for four weeks)
Treatment:
Device: infra red radiation
Device: therapeutic ultra sound
Device: pressure biofeedback
Group C
Experimental group
Description:
(n=15) will be treated by Post Isometric Relaxation combined DNF training, infrared radiation and continuous ultrasound for 12 sessions (3 sessions per week for four weeks)
Treatment:
Device: infra red radiation
Other: post isometric relaxation
Device: therapeutic ultra sound
Device: pressure biofeedback

Trial contacts and locations

0

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Central trial contact

Eman Sherif, Doctoral; Salwa Abdel-mageed, Doctoral

Data sourced from clinicaltrials.gov

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