Investigating the interplay of chronotypes, neuropsychiatric dimensions, demographic and clinical characteristics and disability in migraine patients: A cross-sectional assessment.
Yasemin Ekmekyapar FiratBarış YılbaşEmine Kilicparlar CengizSüleyman DönmezlerPublished in: Chronobiology international (2024)
The study investigated associations between chronotypes (Morning [M], Neither [N], Evening [E]), sociodemographic characteristics, body mass index (BMI), smoking habits, years with migraines, sleep quality (PSQI), anxiety (HADS-A), depression (HADS-D), migraine disability (MIDAS), headache frequency, and pain intensity (VAS) in 80 individuals with migraine. Significant age differences emerged ( p < 0.001), with M-types being the oldest. BMI also varied, with M-types presenting the highest median BMI ( p = 0.005). While migraine duration and headache frequency showed no significant variance, sleep quality did, with E-types reporting the poorest sleep ( p = 0.030). Anxiety and depression were significantly worse in E-types (HADS-A: p = 0.002; HADS-D: p = 0.010). Differences in MIDAS levels were notable ( p = 0.038); however, differences in MIDAS scores were not significant (p = 0.115). Pain intensity varied, with E-types experiencing the most severe pain (p = 0.009). Post-hoc analysis showed higher MIDAS scores in E-types compared to N-types (χ 2 = 6.56, p = 0.038, ε 2 = 0.0831). The findings highlight the need for thorough patient evaluations and tailored care, considering the complex interplay of factors affecting migraine severity, particularly among different chronotypes.
Keyphrases
- sleep quality
- body mass index
- depressive symptoms
- chronic pain
- pain management
- physical activity
- multiple sclerosis
- weight gain
- neuropathic pain
- healthcare
- palliative care
- end stage renal disease
- case report
- prognostic factors
- smoking cessation
- emergency department
- newly diagnosed
- high resolution
- peritoneal dialysis
- high speed
- patient reported
- atomic force microscopy