Effect of lockdown during COVID-19 on migraine: A longitudinal cohort study
The objective of this study was to assess whether migraine-related outcomes changed during intelligent lockdown when compared with the prior period. This was a cohort study evaluating the first month of intelligent lockdown in the Netherlands (12 March to 8 April 2020) compared with one baseline mon...
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| Vydáno v: | Cephalalgia Ročník 41; číslo 7; s. 333102420981739 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
England
01.06.2021
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| Témata: | |
| ISSN: | 1468-2982, 1468-2982 |
| On-line přístup: | Zjistit podrobnosti o přístupu |
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| Shrnutí: | The objective of this study was to assess whether migraine-related outcomes changed during intelligent lockdown when compared with the prior period.
This was a cohort study evaluating the first month of intelligent lockdown in the Netherlands (12 March to 8 April 2020) compared with one baseline month (13 February to 11 March 2020). We identified 870 migraine patients treated at the Leiden Headache Center with headache e-diaries during the period of interest. Adherence to the e-diary had to be ≥80%, yielding 592 enrolled patients.
Intelligent lockdown led to a decrease in monthly migraine days (-0.48; 95% CI: -0.78 to -0.18,
= 0.002) and acute medication days (-0.48; 95% CI: -0.76 to -0.20,
< 0.001), and an increase in general well-being (0.11; 95% CI: 0.06 to 0.17,
< 0.001). No differences in non-migrainous headache days and pain coping were observed. Consistent results were found in a subset that was followed for 4 months.
Our findings imply that intelligent lockdown measures can improve migraine disability despite of the potential negative effects of COVID-19 and lockdown. We hypothesise that this effect is a combined result of working from home, scaling down demanding social lives, and freedom to choose how to organise one's time. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1468-2982 1468-2982 |
| DOI: | 10.1177/0333102420981739 |