Journal Article
|Research

Predictors of cervicogenic headache in patients with chronic neck pain: a prospective study of 6-month follow-up


Abstract

BACKGROUND

Cervicogenic headache is a common condition frequently associated with cervical spine disorders. It significantly impairs physical and psychological well-being. To date, no study has prospectively investigated the predictors of Cervicogenic headache. Identifying these predictors is essential for early intervention and the development of targeted management strategies.


PURPOSE

To examine the predictors of cervicogenic headache in patients with chronic neck pain at the 6-month follow-up period.


METHODS

A prospective study was conducted. A total of 321 patients with chronic neck pain were selected for this study. Data were collected at baseline and at the 6-month follow‐up. Cervical X-rays were taken to assess the Cervical Cobb angle, and self-reported questionnaires were used to assess sleep quality, pain intensity, depression, anxiety, fatigue, and disability in patients with chronic neck pain. Binary logistic regression and Mann–Whitney U test were employed for the analysis.


RESULTS

The study found that cervical Cobb angle 95% CI (.85, .96), p = .001, sleep quality 95% CI (1.32, 1.81), p < .001, depression 95% CI (1.09, 1.55), p = .003 and anxiety 95% CI (1.15, 1.59), p < .001 were significant predictors of cervicogenic headache in patients with chronic neck pain at 6-month follow-up period.


CONCLUSION

Our results suggest that altered cervical Cobb angle, poor sleep quality, and psychological status may serve as potential predictors of cervicogenic headache in patients with chronic neck pain. These findings highlight the importance of a comprehensive approach to managing cervicogenic headache and neck pain that addresses both physical and psychological factors. By targeting these comorbidities, health-care providers may be able to improve outcomes and prevent the development of cervicogenic headache in patients with chronic neck pain.

Subject Area

Languages

English