Effects of Mood Induction on the Pain Responses in Patients with Migraine and the Role of Pain Catastrophizing
Abstract
UNLABELLED: Migraine has close associations with depression and anxiety. Catastrophizing, an alarmist reaction to pain, has been proposed as one of the mediators in the relationship between headache and emotional distress. However, much experimental evidence is needed to make such a view more validated. The aims of this study are to examine the effects of mood induction on the pain responses and to investigate the role of pain catastrophizing in the relationship between pain and mood amongst a sample of patients with migraine. For this purpose, 60 patients with migraine were recruited from a headache clinic in Tehran-Iran and were randomly assigned into one of three groups: negative mood induced group, positive mood induced group and control group. The following instruments and measures were used in this study: mood induction by presenting different types of films (positive, negative), a computerized cognitive task to elicit pain, Beck Depression Inventory and Pain Catastrophizing Scale. The results showed that while the induction of depressed mood increased the pain intensity, the induction of positive mood reduced it significantly (p < 0.05). Further analyses revealed that catastrophizing is as a confounding factor in the relationship between pain and mood. Once catastrophizing scores were entered into the analyses as a covariate, the significant effect of mood on the pain intensity reduced. In conclusion, both mood and catastrophizing are important factors in…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 60 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.