ABSTRACT
BackgroundStress is closely related to migraine attacks， however， previous studies on stressors， stress responses and their impact on the daily life of college students with migraine remain unclear. ObjectiveTo explore the impact of stressors and stress responses on the daily life of college students with migraine， in order to provide references for improving daily life of this population. MethodsFrom August 2018 to August 2019， 458 students from North Sichuan Medical College who met the International Classification of Headache Diseases third edition （ICHD-3）， were selected using random sampling method. General data and headache characteristics were collected. The 6-item Headache Impact Test Questionnaire （HIT-6） was used to assess the impact of migraine on daily life. Student-Life Stress Inventory （SLSI） was used to assess the stressors and stress responses. Hamilton Anxiety Scale （HAMA） and Hamilton Depression Scale-24 item （HAMD-24） were used to assess anxiety and depressive symptoms. Pearson correlation analysis were used to examine the relationship between HIT-6 score and scores on various scales. Multiple linear regression was used to analyze the influencing factors on daily life in college students with migraine. ResultsIn the SLSI， stressors in the dimensions of frustration （r=0.138， P<0.01）， conflict （r=0.168， P<0.01）， pressure （r=0.157， P<0.01）， change （r=0.148， P<0.01）， self-imposed （r=0.158， P<0.01） ， as well as physiological response （r=0.256， P<0.01）， emotional response （r=0.241， P<0.01）， behavioral response （r=0.164， P<0.01）， HAMA total score （r=0.192， P<0.01）， dHAMD-24 total score （r=0.250， P<0.01）， and SLSI total score （r=0.250， P<0.01）， were positively correlated with HIT-6 score. Cognitive response （r=-0.104， P<0.05） was negatively correlated with HIT-6 score. Stepwise multiple linear regression revealed that physiological response （β=0.140， P<0.05）， anxiety （β=0.159， P<0.05）， and cognitive response （β=-0.091， P<0.05） could predict the impact on daily life of college students with migraine. ConclusionPhysiological response， cognitive response and anxiety may be the independent influencing factors on the daily life of college students with migraine. ［Funded by Nanchong City University Science and Technology Strategic Cooperation Project （number， NSMC20170420）］
ABSTRACT
ObjectiveTo assess the anxiety and depression symptoms and sleep quality in patients with menstrual migraine， so as to provide references for the prevention and treatment of menstrual migraine and its comorbidity. MethodsAccording to the diagnostic criteria of the International Classification of Headache Disorder， third edition （ICHD-3）， 501 female migraine patients， including 112 patients with menstrual migraine and 389 patients with non-menstrual migraine， who attended the outpatient clinic of the Affiliated Hospital of North Sichuan Medical College from February 2019 to February 2020， were selected for the study. The general and clinical data of the patients were collected， meantime， patients were assessed using Hamilton Anxiety Scale （HAMA）， Hamilton Depression Scale-24 item （HAMD-24）， 6-item Headache Impact Test （HIT-6） and Pittsburgh Sleep Quality Index （PSQI）. ResultsThe detection rates of pure anxiety， pure depression， comorbid anxiety-depression and sleep disorders in patients with menstrual migraine were higher than those in patients with non-menstrual migraine （χ2=4.198， 4.355， 5.236， 8.624， P<0.05 or 0.01）. Patients with menstrual migraine had higher scores of HAMA、HAMD-17、PSQI and HIT-6 than those of non-menstrual migraine patients （Z=-3.550、-2.723、-2.482、-4.717，P<0.05 or 0.01）. Correlation analysis showed that PSQI score of menstrual migraine patients was positively correlated with HAMA score （r=0.338， P<0.01）， HAMD-24 score （r=0.372， P<0.01） and HIT-6 score （r=0.192， P<0.05）. ConclusionCompared with non-menstrual migraine patients， patients with menstrual migraine experience more severe anxiety and depression symptoms and sleep problems and suffer greater negative life impacts. In addition， the influence of anxiety and depression symptoms and headache on daily life is associated with sleep quality.
ABSTRACT
ObjectiveTo investigate the prevalence rate and influencing factors of sleep insufficiency in medical students with migraine， and to provide a reference for alleviating the sleep problems in medical students. MethodsFrom July 2018 to July 2019， a random cluster sampling method was implemented to choose 546 medical students who met the diagnostic criteria of the International Classification of Headache Disorders， third edition （ICHD-3） for migraine in North Sichuan Medical College. Students were divided into sleep sufficiency group （n=367） and sleep insufficiency group （n=179） based on whether the nightly sleep duration was more than 6 hours. General demographic and clinical data of medical students were collected. Pittsburgh Sleep Quality Index （PSQI） was used to assess the sleep quality. Hamilton Anxiety Scale （HAMA） and Hamilton Depression Scale-24 item （HAMD-24） were used to evaluate the anxiety and depression states. Visual Analogue Scale （VAS） was adopted to assess the pain degree， and the 6-item Headache Impact Test Questionnaire （HIT-6） was applied to evaluate the impact of headache on daily life. Then Logistic regression analysis was conducted to screen the influencing factors of sleep insufficiency in medical students with migraine. ResultsAmong 546 medical students with migraine， 179（32.78%） had sleep insufficiency. There were significant differences in age （t=2.107）， frequency of headache attacks （Z=-2.972）， anxiety status （χ²=14.053）， depression status （χ²=10.773）， total score of PSQI （t=-13.247） and sleep quality （χ²=94.754） between sleep sufficiency group and sleep insufficiency group （P<0.05 or 0.01）. Correlation analysis showed that sleep duration in migraine patients was negatively correlated with age （r=-0.100， P<0.01）， and positively correlated with frequency of headache attacks， anxiety status， and depression status （r=0.135， 0.169， 0.139， P<0.01）. Multivariate Logistic regression analysis denoted that age （OR=0.860， 95% CI： 0.743~0.996， P=0.045）， frequency of headache attacks （OR=1.051， 95% CI： 1.006~1.098， P=0.026） and depression status （OR=1.712， 95% CI： 1.024~2.861， P=0.040） were influencing factors of sleep insufficiency in medical students with migraine. ConclusionMedical students with migraine suffer a high prevalence rate of sleep insufficiency， moreover， the frequency of headache attack and depression status are risk factors， and age is a protective factor for sleep insufficiency in medical students with migraine.