Somatoform dissociation, fatigue severity and pain behavior compared in patients with migraine headache and in healthy individuals

Fattahzadeh-Ardalani, Ghasem; Aghazadeh, Vida; Atalu, Abolfazl; Abbasi, Vahid

doi:10.4081/ni.2017.7015

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…We revealed that fatigue intensity in episodic migraineurs did not differ significantly from fatigue intensity in healthy individuals. Whereas in other similar studies levels of fatigue (including measured by FSS) were significantly higher in EM patients compared to healthy subjects [12,14]. Perhaps this difference is the result of social, demographic, comorbid and other characteristics of patients.…”

Section: Discussionmentioning

confidence: 61%

“…In particular, we have demonstrated that post-stroke fatigue has specific qualitative and quantitative characteristics and specific predictors even depending on the timing after stroke [7][8][9]. In recent years, evidence has emerged that fatigue in migraine patients is different from fatigue in healthy people [10][11][12][13][14][15][16]. Moreover, fatigue prevalence and fatigue intensity in episodic migraine (EM) patients were significantly higher compared to patients with chronic migraine [15].…”

Section: Introductionmentioning

confidence: 99%

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Prevalence and Predictors of Fatigue in Patients With Episodic Migraine

Delva

Pinchuk

et al. 2022

Wiad Lek

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The aim: We studied prevalence, intensity and predictors of fatigue in patient with episodic migraine (EM). Materials and methods: We enrolled in the study 85 patients with EM and 88 healthy subjects. Fatigue was identified according to Fatigue Severity Scale. We recorded socio-demographic factors: gender, age, marital status, formal education level, employment status, smoking. Anxiety and depression symptoms were assessed by Hospital Anxiety and Depression Scale, daytime sleepiness was measured by Epworth scale. The co-morbidities included history of low back pain during last year, arterial hypertension, diabetes mellitus and abdominal obesity. It was analyzed usage of non-steroidal anti-inflammatory drugs, combined analgesics, triptans for abortive migraine treatment. Results: Fatigue prevalence in patients with EM was 41,2%, which was significantly higher than in healthy controls (11,4%). Fatigue intensity in episodic migraineurs was 5,7 (4,9-6,8) and did not differ significantly from fatigue intensity in healthy individuals – 4,9 (4,5-5,8). In multivariate logistic regression analysis independent predictors of fatigue were only migraine-related factors (number of migraine headache days per month, headache severity and migraine prodrome presence). There was weak direct correlation between the number of headache migraine days per month and fatigue intensity. Conclusions: 1. Fatigue prevalence in patients with EM is significantly higher than in healthy controls. 2. In patients with EM fatigue has migraine-related predictors.

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Section: Discussionmentioning

confidence: 61%

Section: Introductionmentioning

confidence: 99%

Prevalence and Predictors of Fatigue in Patients With Episodic Migraine

Delva

Pinchuk

et al. 2022

Wiad Lek

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“…Higher rates of at least one positive item under the PP domain of depression among CM than HS and among EM than HS. [59][60][61][62][63][64] These results are not new since the PP domain clusters with clinically relevant aspects, which are usually studied separately. However, the use of such domain might contribute in building a unitary disease concept 65 of migraine.…”

Section: Discussion Of the Results Based On The Literaturementioning

confidence: 99%

Mental pain and pain-proneness in patients with migraine: results from the PAINMIG cohort-study

et al. 2020

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Background. Pain has been qualified under four categories: nociception, perception of pain, suffering, and pain behaviors. Most of the literature on migraine has devoted attention to the first two. The aim of the present cohort study was to investigate patients with migraine enrolled at a tertiary care unit to study suffering and mental pain and identify potential risk factors for migraine. Methods. An observational cross-sectional study was carried out on patients with chronic migraine (CM) and episodic migraine (EM), and healthy subjects (HS). The three groups were matched for age and sex. A comprehensive assessment of migraine disability, pain, psychiatric disorders, psychosomatic syndromes, depressive and anxious symptoms, euthymia, psychosocial variables, mental pain, and pain-proneness (PP) was performed. Results. Three hundred subjects were enrolled (100 CM, 100 EM, and 100 HS). Based on the multiple regression analyses, those presenting PP (social impairment: odds ratio [OR] = 3.59, 95% confidence interval [CI] = 1.14-11.29; depressive symptoms: OR = 3.82, 95% CI = 1.74-8.41) were more likely to be CM than HS. Those with higher levels of PP (social impairment: OR = 4.04, 95% CI = 1.60-10.22; depressive symptoms: OR = 2.02, 95% CI = 1.26-3.24) were more likely to be EM than HS. Those presenting higher levels of mental pain were more likely to be CM than EM (OR = 1.45, 95% CI = 1.02-2.07). Conclusion. Migraine is an unpleasant sensory and emotional experience associated with psychosocial manifestations that might contribute to the level of suffering of the individuals. Mental pain resulted to be the variable that most differentiated patients with CM from EM.

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