Evidence map›Paper›PMID 32787771›Full record

ArticleThe journal of headache and pain2020

The status and high risk factors of severe psychological distress in migraine patients during nCOV-2019 outbreak in Southwest China: a cross-sectional study.

Mengmeng Ma, Jinghuan Fang, Changling Li, Jiajia Bao, Yang Zhang, Ning Chen, Jian Guo, Li He

Abstract read
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Article in The journal of headache and pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mengmeng MaDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Jinghuan FangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Changling LiDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Jiajia BaoDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Yang ZhangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Ning ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Jian GuoDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China. water-deep1983@163.com.
Li HeDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China. heli2003new@126.com.ORCID http://orcid.org/0000-0002-2034-1027

Funding

1·3·5 project for disciplines of excellence-Clinical Research Incubation Project, West China Hospital, Sichuan University 2018HXFH022Fundamental Research Funds for the Central Universities of Sichuan University (CN) 2020SCU12032National Key Research and Development Program of China 2018YFC1311400 and 2018YFC1311401
6 · The paper itself

Abstract

backgroundPsychological distress is highly prevalent among migraineurs during public health emergencies. The coronavirus disease 2019 (nCOV-2019) has created mass panic in China due to its highly contagious by contact and aerosols and lack of effective treatment. However, the emotion status of migraineurs stayed unclear during the nCOV-2019 outbreak.

objectiveTo understand psychological distress of migraineurs by comparing with common population and identify potential high-risk factors of severe psychological distress among migraine patients.

methodWe enrolled the migraineurs treated at the department of Neurology of West China Hospital and healthy controls with age- and sex-matched to migraineurs. Data on clinicodemographics and psychological distress in the month of February 2020 (during in the nCOV-2019 outbreak in China) were collected. We used the Kessler 6-item (K-6) scale to assess psychological distress. Potential risk factors of severe psychological distress were identified using univariate and multivariate logistic regression.

resultsThe 144 migraineurs and 150 controls were included in the study. Migraineurs showed significantly higher K-6 scores than controls (P < 0.001). Migraine attack frequency in previous 30 days and time spent paying attention to outbreak showed significant in multivariate logistic regression with respective odds ratios of 2.225 (95%CI 1.361-3.628, P = 0.001) and 1.589 (95% 1.117-2.26, P = 0.01).

conclusionDuring public health outbreaks, healthcare professionals should focus not only on controlling and reducing migraine attack but also on mental health of migraineurs, especially those with high frequency migraine attack.

Indexed as

BetacoronavirusCoronavirus InfectionsMigraine DisordersPandemicsPneumonia, ViralPsychological DistressChinaCOVID-19Cross-Sectional StudiesHealth PersonnelHumansPrevalenceRisk FactorsSARS-CoV-2COVID-19Kessler 6-item psychological distress scaleMigraineSevere psychological distress

Identifiers

PMID32787771
PMCPMC7422670

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.