Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Exercise impairment in patients with pectus excavatum? A scoping review of evidence and role of arterial content change during effort.

Physiological reports·2026
Same author

Evaluating the feasibility and preliminary effects of a group-based telerehabilitation program in individuals with persistent dyspnea after COVID-19 (TEPCO): a pilot randomized controlled study.

Pilot and feasibility studies·2026
Same author

Motor control exercise program versus standard care in the treatment of lumbopelvic pain in pregnant women: a randomized controlled pilot trial.

Chiropractic & manual therapies·2026
Same author

Associations Between Anthropometrics, Physical Determinants, and Batting Exit Speed in Elite Female Baseball Athletes.

Journal of strength and conditioning research·2026
Same author

Performance of exercise transcutaneous oximetry versus imaging at the buttock, thigh and calf level for the diagnosis of peripheral artery disease.

Clinical physiology and functional imaging·2026
Same author

Effects of 2 Interventions on the Acceptability and Usability of a Sensing Glove for Measuring Force-Time Characteristics of Chiropractic Spinal Manipulative Therapy: A Crossover Study.

Journal of chiropractic medicine·2026

Related Experiment Video

Updated: Dec 20, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.8K

Can Headache Profile Predict Future Disability: A Cohort Study.

Mariève Houle1, Andrée-Anne Marchand2, Martin Descarreaux1

  • 1Department of Human Kinetics, Université du Québec à Trois-Rivières, Trois-Rivières, QC.

The Clinical Journal of Pain
|May 27, 2020
PubMed
Summary

Headache frequency and intensity predict future disability in tension-type headache (TTH) patients. These factors, along with neck pain and anxiety, are key indicators for long-term TTH management.

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K
3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
10:39

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache

Published on: June 2, 2014

18.6K

Related Experiment Videos

Last Updated: Dec 20, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.8K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K
3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
10:39

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache

Published on: June 2, 2014

18.6K

Area of Science:

  • Neurology
  • Pain Management
  • Clinical Research

Background:

  • Tension-type headache (TTH) is a common neurological condition.
  • Predicting disability in TTH patients is crucial for effective management.
  • Headache profiles and associated factors may influence long-term outcomes.

Purpose of the Study:

  • To investigate if headache profiles can predict future disability in TTH patients.
  • To identify key clinical and physical factors associated with TTH-related disability.
  • To establish predictors for TTH disability over a 3-month period.

Main Methods:

  • Recruited 83 TTH patients meeting International Headache Society criteria.
  • Collected baseline data on disability, kinesiophobia, self-efficacy, and anxiety.
  • Prospective daily SMS/email data collection on headache intensity and frequency over 1 month.
  • Assessed headache-related disability at 3-month follow-up.

Main Results:

  • Headache frequency (r=0.60) and intensity (r=0.54) strongly correlated with 3-month disability.
  • Neck-related disability (r=0.64) was the strongest predictor.
  • Multiple regression indicated headache frequency as the best individual predictor (β=0.284).

Conclusions:

  • TTH frequency and intensity are significant predictors of future disability.
  • Concomitant infrequent migraine may also contribute to disability.
  • Further research is needed to explore other physical outcome contributions to TTH disability.