Associations between anxiety, depression with migraine, and migraine-related burdens

Duan, Shaojie; Ren, Zhiying; Xia, Hui; Wang, Ziyao; Zheng, Tao; Li, Guanglu; Liu, Lei; Liu, Zunjing

doi:10.3389/fneur.2023.1090878

Cited by 13 publications

(7 citation statements)

References 56 publications

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“…Finally, PSQI score and Qi depression score were demonstrated as significant independent risk factors of migraine. Two of our previous studies found that the PSQI score, SAS score, and SDS score were all significantly and positively associated with the risk of migraine, with the PSQI score having the relatively best predictive power for migraine [ 23 , 24 ]. The results of this study showed that the AUCs of PSQI score, SAS score, and SDS score for migraine were 0.83 (95% CI: 0.77–0.89), 0.75 (95% CI: 0.68–0.83), and 0.61 (95% CI: 0.52–0.69), respectively, which were similar to our previous studies and further demonstrated that the PSQI score had the relatively best predictive ability for migraine.…”

Section: Discussionmentioning

confidence: 99%

“…Migraine is known to be associated with a variety of sleep disorders and psychiatric disorders, such as anxiety and depression, and the bidirectional relationship between migraine and these disorders is of increasing interest to researchers [ 7 , 18 – 22 ]. Our previous studies showed that poor sleep quality, anxiety, and depression were significantly and positively associated with increased risk of migraine and migraine burdens, and that Pittsburgh Sleep Quality Index (PSQI) score, Zung's Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) scores had good predictive value for migraine and could be used as potential predictors for migraine [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

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Development and validation of non-invasive prediction models for migraine in Chinese adults

Duan,

Xia,

Zheng

et al. 2023

J Headache Pain

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Background Migraine is a common disabling neurological disorder with severe physical and psychological damage, but there is a lack of convenient and effective non-invasive early prediction methods. This study aimed to develop a new series of non-invasive prediction models for migraine with external validation. Methods A total of 188 and 94 subjects were included in the training and validation sets, respectively. A standardized professional questionnaire was used to collect the subjects' 9-item traditional Chinese medicine constitution (TCMC) scores, Pittsburgh Sleep Quality Index (PSQI) score, Zung's Self-rating Anxiety Scale and Self-rating Depression Scale scores. Logistic regression was used to analyze the risk predictors of migraine, and a series of prediction models for migraine were developed. Receiver operating characteristic (ROC) curve and calibration curve were used to assess the discrimination and calibration of the models. The predictive performance of the models were further validated using external datasets and subgroup analyses were conducted. Results PSQI score and Qi-depression score were significantly and positively associated with the risk of migraine, with the area of the ROC curves (AUCs) predicting migraine of 0.83 (95% CI:0.77–0.89) and 0.76 (95% CI:0.68–0.84), respectively. Eight non-invasive predictive models for migraine containing one to eight variables were developed using logistic regression, with AUCs ranging from 0.83 (95% CI: 0.77–0.89) to 0.92 (95% CI: 0.89–0.96) for the training set and from 0.76 (95% CI: 0.66–0.85) to 0.83 (95% CI: 0.75–0.91) for the validation set. Subgroup analyses showed that the AUCs of the eight prediction models for predicting migraine in the training and validation sets of different gender and age subgroups ranged from 0.80 (95% CI: 0.63–0.97) to 0.95 (95% CI: 0.91–1.00) and 0.73 (95% CI: 0.64–0.84) to 0.93 (95% CI: 0.82–1.00), respectively. Conclusions This study developed and validated a series of convenient and novel non-invasive prediction models for migraine, which have good predictive ability for migraine in Chinese adults of different genders and ages. It is of great significance for the early prevention, screening, and diagnosis of migraine.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development and validation of non-invasive prediction models for migraine in Chinese adults

Duan,

Xia,

Zheng

et al. 2023

J Headache Pain

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“…Hala ere badakigu, estres kronikoa antsietatearekin eta depresioarekin gehien lotzen den faktorea dela [2]. Ikerketa berri baten arabera, antsietatea eta depresioa, eta nahasmendu hauek eragin dezaketen estresa, migraina pairatzeko arrisku altuagoarekin eta migrainarekin lotutako kargekin (loaren kalitate eskasa, ezgaitasun edota buruko min larriak) modu independentean erlazionaturik daude [3]. Are gehiago, bi fenomeno hauen arteko bi noranzkoetako harremana definitu dute.…”

Section: Sarreraunclassified

Estresa, migraina eta hirugarren belaunaldiko terapiak

Egaña-Marcos,

Azkona Mendoza

2023

EKAIA

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Gaur egun, gero eta sarriagok dira inolako etiologia zehatz gabeko gaixotasun eta nahasmenduak. Eguneroko estresak min kronikoa garatzeko arrisku faktorea da. Migraina min kroniko posible horietako bat da. Badakigu, estres kronikoa antsietatearekin eta depresioarekin gehien lotzen den faktorea dela. Antsietatea eta depresioak eragin dezaketen estresak, migraina pairatzeko arrisku altuagoarekin erlazionatu berri da. Are gehiago, bi fenomeno hauen arteko bi noranzkoetako harremana definitu dute. Errebisio artikulu honek bi helburu nagusi ditu. Alde batetik, estresa eta migraina erlazionatzen dituen lanen errebisioa egitea, eta bestetik, tratamendu farmakologikoen gehiegizko erabilera eta terapia psikologiko indibidualizatuen beharra nabarmentzea. Oro har, estresoreek eragindako ardatz hipotalamiko-pituitario-adrenalaren aktibazioak aldaketak eragin ditzake serotoninaren sistema, zirkulazio kraniala eta minaren kontrola desorekatuz. Beraz, migraina nahaste neurobaskular gisa definitu daiteke, emakumeetan prebalenteagoa izanik. Migraina bi eratara aurkeztu daiteke; ohiko migraina edo auradun migraina. Azken honek, pazienteen % 30k pairatzen du eta aldez aurreko fase bat izaten dute, nahasmendu bisual, somatosentsorial eta/edo disfasikoekin. Tratamendu farmakologikoak minaren mekanismoak inhibituz eta garun-azaleko odol-hodietako hantura murriztuz egiten dute beren efektua. Hala ere, ez dute migrainen benetako zergatian efekturik egiten. Horregatik, gaur egun, ohizkoagoak dira hirugarren belaunaldiko terapiak. Terapia hauek, pazienteren jokabidea aldatzeko asmoz, pazientearen bizipenak eta testuinguru sozial eta kulturala kontutan hartzen dute. Migraina nahaste neurofisiologiko bat baino, beste faktoreen zergatia izan daiteke, hala nola estres kronikoaren eragina. Artikuluan, azken urteetan migraina tratatzeko erabili diren terapiak eta beren efektuak azaltzen dira.

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“…Recent evidence indicates a bidirectional relationship between migraine and mental health disorders [ 7 ]. Individuals experiencing depression and anxiety are noted to have an elevated likelihood of encountering migraine, underscoring the importance of gaining a comprehensive understanding of these concurrent conditions.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Anxiety and Depression and Their Association With Migraine Among PHC Center Visitors in Madina, Saudi Arabia

Qarah,

Alshammari,

Alsharif

et al. 2024

Cureus

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Introduction: This cross-sectional study addresses the global rise in mental health disorders, emphasizing the bidirectional relationship between migraines and conditions such as depression and anxiety. This study seeks to bridge a crucial gap by examining the prevalence of depression and anxiety and their potential role as predictors of migraine. Methods: This study included 407 participants aged 16 and above, attending one of the major PHC centers in Madinah city between August 1, 2023, and October 1, 2023. The study employed the Migraine Screening Questionnaire (MS-Q) for migraine screening and the Patient Health Questionnaire-4 (PHQ-4) for identifying anxiety and depression. Results: Among the 407 participants included in our study, the prevalence of anxiety and depression was 9.1% and 5.9%, respectively. The prevalence of individuals experiencing both anxiety and depression was 3.7%. Anxiety exhibited a robust and statistically significant prediction of having migraines (OR: 4, P<0.05), while depression showed no statistically significant association. Gender, working frequency, and a higher level of education emerged as significant predictors of anxiety. Conversely, working multiple shifts and increased coffee consumption were found to be protective against anxiety. Regarding depression, spending more screen time and a higher education level were identified as significant predictors, while higher coffee intake and current smoking status were protective against depression. Conclusions: This cross-sectional study concluded that anxiety significantly predicts having migraines, while depression did not emerge as a statistically significant predictor. The study's outcomes underscore the imperative for mental health screening and management in individuals with migraines in PHC settings. However, comprehensive efforts are warranted to be applied across diverse cities and demographics to attain a more nuanced understanding of this association.

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Associations between anxiety, depression with migraine, and migraine-related burdens

Cited by 13 publications

References 56 publications

Development and validation of non-invasive prediction models for migraine in Chinese adults

Development and validation of non-invasive prediction models for migraine in Chinese adults

Estresa, migraina eta hirugarren belaunaldiko terapiak

Prevalence of Anxiety and Depression and Their Association With Migraine Among PHC Center Visitors in Madina, Saudi Arabia

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