Correlates of interictal burden in episodic and chronic migraine: associations with disability, sleep quality, anxiety, and depression

This study aimed to evaluate clinical and psychometric correlates of interictal burden measured by The Migraine Interictal Burden Scale-4 (MIBS-4) in prophylaxis-free, first-admission migraine patients using a two-model comparative regression strategy. Two hundred patients diagnosed according to ICHD-3 (The International Classification of Headache Disorders, 3rd edition) criteria were included (CM: n = 100, EM: n = 100; age: 27.67 ± 8.18 years; female: 72.5%); this 1:1 artificial balance was intentionally established for comparative analysis rather than reflecting true outpatient prevalence. MIBS-4, Headache Impact Test-6 (HIT-6), Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) were administered. The frequency variable was reported strictly as monthly headache days (MHDs); the absence of monthly migraine days (MMD) data limits direct generalizability. PSQI scores were operationally categorized as normal sleep quality (≤ 5), poor sleep quality (6–10), and severe sleep disturbance (≥ 11). Sensitivity analyses were performed using HC3 robust standard errors. MIBS-4, HIT-6, GAD-7, PHQ-9, PSQI, and MHDs were significantly higher in CM than in EM. Among the entire cohort, 14 patients had normal sleep quality (7%), 104 had poor sleep quality (52%), and 82 had severe sleep disturbance (41%). Severe sleep disturbance was more frequent in CM than EM (48/100 [48%] vs. 34/100 [34%]; dichotomous comparison p = 0.044; three-tier distribution p = 0.062). Migraine type was the strongest independent correlate in Model A (B = 3.000, 95% CI [2.041, 3.960], β = 0.559, p < 0.001), whereas MHDs showed a comparable association in Model B (B = 0.206, 95% CI [0.132, 0.279], β = 0.463, p < 0.001). The models explained approximately one-third of MIBS-4 variance (R²: 0.334 and 0.312). Psychometric variables were associated with MIBS-4 in bivariate analyses (though relatively weakly for PHQ-9 and PSQI) but did not retain independent associations in multivariable models. In this prophylaxis-free first-admission cohort, MIBS-4 burden was most consistently associated with the migraine type/MHDs severity axis. However, the unexplained variance suggests that additional unmeasured factors, such as stigma, interictal sensory symptoms, general well-being, socioeconomic factors, access to care, and medication overuse, may contribute to interictal burden. Crucially, medication overuse headache (MOH) status was not assessed, precluding any causal attribution; thus, the observed effect of MHDs may be partially attributable to unmeasured medication overuse.

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Journal
BMC Neurology
Published
2026-09-15
DOI
https://doi.org/10.1186/s12883-026-05373-8
Primary Topic
Migraine and Headache Studies
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article
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article

Correlates of interictal burden in episodic and chronic migraine: associations with disability, sleep quality, anxiety, and depression

Vasfiye Sezer, ORKUN ZORSU
BMC Neurology
Migraine and Headache Studies
article

Correlates of interictal burden in episodic and chronic migraine: associations with disability, sleep quality, anxiety, and depression

Vasfiye Sezer, ORKUN ZORSU
article en

Abstract

This study aimed to evaluate clinical and psychometric correlates of interictal burden measured by The Migraine Interictal Burden Scale-4 (MIBS-4) in prophylaxis-free, first-admission migraine patients using a two-model comparative regression strategy. Two hundred patients diagnosed according to ICHD-3 (The International Classification of Headache Disorders, 3rd edition) criteria were included (CM: n = 100, EM: n = 100; age: 27.67 ± 8.18 years; female: 72.5%); this 1:1 artificial balance was intentionally established for comparative analysis rather than reflecting true outpatient prevalence. MIBS-4, Headache Impact Test-6 (HIT-6), Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) were administered. The frequency variable was reported strictly as monthly headache days (MHDs); the absence of monthly migraine days (MMD) data limits direct generalizability. PSQI scores were operationally categorized as normal sleep quality (≤ 5), poor sleep quality (6–10), and severe sleep disturbance (≥ 11). Sensitivity analyses were performed using HC3 robust standard errors. MIBS-4, HIT-6, GAD-7, PHQ-9, PSQI, and MHDs were significantly higher in CM than in EM. Among the entire cohort, 14 patients had normal sleep quality (7%), 104 had poor sleep quality (52%), and 82 had severe sleep disturbance (41%). Severe sleep disturbance was more frequent in CM than EM (48/100 [48%] vs. 34/100 [34%]; dichotomous comparison p = 0.044; three-tier distribution p = 0.062). Migraine type was the strongest independent correlate in Model A (B = 3.000, 95% CI [2.041, 3.960], β = 0.559, p < 0.001), whereas MHDs showed a comparable association in Model B (B = 0.206, 95% CI [0.132, 0.279], β = 0.463, p < 0.001). The models explained approximately one-third of MIBS-4 variance (R²: 0.334 and 0.312). Psychometric variables were associated with MIBS-4 in bivariate analyses (though relatively weakly for PHQ-9 and PSQI) but did not retain independent associations in multivariable models. In this prophylaxis-free first-admission cohort, MIBS-4 burden was most consistently associated with the migraine type/MHDs severity axis. However, the unexplained variance suggests that additional unmeasured factors, such as stigma, interictal sensory symptoms, general well-being, socioeconomic factors, access to care, and medication overuse, may contribute to interictal burden. Crucially, medication overuse headache (MOH) status was not assessed, precluding any causal attribution; thus, the observed effect of MHDs may be partially attributable to unmeasured medication overuse.

BMC Neurology
Sakarya Eğitim ve Araştırma Hastanesi (TR)
No poverty
Openalex Percentile: Top 10%
Migraine and Headache Studies
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