| Literature DB >> 35066364 |
Hatice Yuksel1, Safiye Gul Kenar2, Gorkem Tutal Gursoy2, Hesna Bektas2.
Abstract
Since the onset of the COVID-19 pandemic, the use of personal protective equipment (PPE) and disinfectants has become necessary to prevent transmission of the virus. However, the effects of such pandemic obligations on chronic diseases such as migraine have not been fully elucidated. We aimed to investigate the effects of the COVID-19 pandemic, as well as the use of masks and disinfectants, on migraine patients. A total of 310 migraine patients were included. Demographic data, migraine characteristics, and mask and disinfectant use were obtained through a face-to-face survey. Patients were grouped as worsening, stable, or improving according to pre-pandemic and pandemic migraine characteristics. Migraine worsening was found in 177 (57.1%) patients, stable course in 96 (31%) patients, and improvement in 37 (11.9%) patients. The use of scalp contact masks and double masks and daily mask duration were higher in the worsening group (p:0.005, p:0.005 and p:0.001). In addition, the frequency of personal disinfectant use was higher in this group (p:0.011). In regression analysis, mask type, daily mask duration, presence of allodynia, being a health worker, depression score, and odor were determined as independent risk factors for migraine worsening. We found a worsening of migraines in more than half of patients during the COVID-19 pandemic. We also demonstrated a relationship between migraine worsening and mask type, number of masks, and intensive disinfectant use. Migraine patients should be advised of optimal prevention methods based on individual social and working conditions rather than exaggerated preventative measures.Entities:
Keywords: COVID-19; Disinfectant; Mask; Migraine; Personal protective equipment
Mesh:
Substances:
Year: 2022 PMID: 35066364 PMCID: PMC8755428 DOI: 10.1016/j.jocn.2022.01.006
Source DB: PubMed Journal: J Clin Neurosci ISSN: 0967-5868 Impact factor: 1.961
Migraine characteristics at pre-pandemic and pandemic periods.
| Pre-pandemic period | Pandemic period | p | |
|---|---|---|---|
| Attack frequency (per month) | 3.92±3.39 | 5.11±4.20 | 0.001 |
| Migraine days (per month) | 5.37±4.42 | 7.52±5.75 | 0.001 |
| Attack duration (hours) | 31.50±20.80 | 35.36±22.65 | 0.001 |
| ≤12 h | 94 (30.6%) | 79 (25.7%) | |
| 13–24 h | 116 (37.8%) | 105 (34.2%) | |
| 25–48 h | 51 (16.6%) | 57 (18.6%) | |
| 48–72 h | 36 (11.7%) | 46 (15.0%) | |
| >72 h | 10 (3.3%) | 20 (6.5%) | |
| Headache severity | 7.44±1.74 | 8.01±1.78 | 0.001 |
Migraine state by difference between pandemic and pre-pandemic periods.
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Demographic and clinical parameters in migraine groups.
| Improving group | Stable group | Worsening group | p | |
|---|---|---|---|---|
| Age | 40.43±11.88 | 39.79±10.99 | 37.50±10.51 | 0.132 |
| Gender | ||||
| Female | 33 (89.25%) | 88 (91.7%) | 159 (89.8%) | 0.860 |
| Male | 4 (10.8%) | 8 (8.3%) | 18 (10.2%) | |
| Education | ||||
| Elementary school | 8 (21.6%) | 28 (29.2%) | 33 (18.6%) | |
| Middle school | 3 (8.1%) | 7 (7.3%) | 14 7.9%) | 0.634 |
| High school | 10 (27.0%) | 24 (25.0%) | 46 (26.0%) | |
| University | 16 (43.2%) | 37 (38.5%) | 84 (47.5%) | |
| Occupation type | ||||
| Unemployed | 22 (59.5%) | 65 (67.7%) | 97 (52.7%) | |
| Work from home | 1 (2.7%) | 2 (2.1%) | 2 (1.1%) | 0.475 |
| Part-time | 2 (5.4%) | 5 (5.2%) | 12 (6.8%) | |
| Full-time | 12 (32.4%) | 24 (25.0%) | 66 (37.3%) | |
| Health workers | 6 (16.2%) | 15 (15.6%) | 32 (18.1%) | 0.656 |
| Alcohol | 1 (2.7%) | 3 (3.1%) | 8 (4.5%) | 0.787 |
| Smoking | 9 (24.3%) | 23 (24.0%) | 36 (20.3%) | 0.735 |
| Comorbidities | ||||
| Neurological comorbidity | 3 (8.1%) | 6 (6.3%) | 6 (3.4%) | 0.353 |
| Psychological comorbidity | 7 (18.9%) | 5 (5.2%) | 13 (7.3%) | 0.057 |
| Hypertension | 4 (10.8%) | 12 (12.5%) | 17 (9.6%) | 0.760 |
| Hyperlipidemia | 4 (10.8%) | 5 (5.2%) | 11 (6.2%) | 0.490 |
| Cardiovascular diseases | 1 (2.7%) | 7 (7.3%) | 3 (1.7%) | 0.070 |
| Diabetes mellitus | 3 (8.1%) | 4 (4.2%) | 10 (5.6%) | 0.663 |
| Chronic pulmonary disease | 1 (2.7%) | 2 (2.1%) | 5 (2.8%) | 0.933 |
| Thyroid disease | 2 (5.4%) | 5 (5.2%) | 5 (2.8%) | 0.544 |
| Miscellaneous | 2 (5.4%) | 4 (4.2%) | 8 (4.5%) | 0.954 |
| COVID-19 diagnosis | 8 (21.6%) | 19 (26.4%) | 45 (25.4%) | 0.558 |
| BDI score | 13.51±9.07 | 12.64±9.11 | 15.06±9.62 | 0.086 |
| BAI score | 16.92±10.62 | 15.91±13.33 | 19.15±12.78 | |
| Allodynia (ASC-12) | 19 (51.4%) | 47 (49.0%) | 117 (66.1%) |
ASC-12:12-item allodynia symptom checklist, BDI: Beck Depression Inventory, BAI: Beck Anxiety Inventory, *significant difference between worsening group and stable group, significant difference between worsening group and improving group, significant difference between stable and improving group
Use of masks and disinfectants in migraine groups and characteristics of migraine.
| Improving group | Stable group | Worsening group | p | |
|---|---|---|---|---|
| Migraine type | ||||
| with aura | 24 (64.9%) | 72 (75.0%) | 125 (70.6%) | 0.489 |
| without aura | 13 (35.1%) | 24 (25.0%) | 52 (29.4%) | |
| Diagnosis age of migraine | 27.97±4.57 | 27.45±8.55 | 26.56±4.60 | 0.654 |
| Duration of migraine (years) | 11.08±8.81 | 12.37±9.42 | 11.07±8.85 | 0.650 |
| Migraine preventive treatment | ||||
| Absent | 19 (51.4%) | 73 (76.0%) | 131(74.0%) | 0.011 |
| Present | 18 (48.6%) | 23 (24.0%) | 46 (26.0%) | |
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| Odor as a migraine trigger | 18 (48.6%) | 51 (53.1%) | 118 (66.7%) | 0.028* |
| Type of mask | ||||
| Surgical mask with pre-auricular strip | 32 (86.5%) | 72 (75.0%) | 110 (62.1%) | 0.005* |
| Scalp contact masks | 5 (13.5%) | 24 (25.0%) | 67 (37.9%) | |
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| Mask number | ||||
| One mask | 29 (78.4%) | 71 (74.0%) | 102 (57.6%) | 0.005* |
| Double mask | 8 (21.6%) | 25 (26.0%) | 75 (42.4%) | |
| Duration of mask (per day) | 3.81±2.44 | 3.46±2.69 | 5.017±3.12 | 0.001* |
| < 4 h | 19 (51.4%) | 67 (69.8%) | 67 (37.9%) | |
| ≥ 4 h | 18 (48.6%) | 29 (30.2%) | 110 (62.1%) | |
| Frequency of use of disinfectants | ||||
| No/Moderate | 15 (40.5%) | 47 (49.0%) | 59 (33.3%) | 0.040* |
| Excessive | 22 (59.5%) | 49 (51.0%) | 118 (66.7%) | |
| Excessive use of disinfectant at home | 16 (43.2%) | 25 (26.0%) | 65 (36.7%) | 0.096 |
| Excessive use of disinfectant at work | 9 (56.3%) | 16 (41.0%) | 56 (64.4%) | 0.050 |
*Significant difference between worsening group and stable group, : Significant difference between worsening group and improving group, : Significant difference between stable and improving group.
Independent factors associated with migraine worsening in binary logistic regression analysis.
| p | Exp(B) | %95 CI | |
|---|---|---|---|
| Migraine type | 0.972 | 1.010 | 0.570–1.790 |
| Health worker | 4.222 | 1.571–11.345 | |
| Occupation type | 0.912 | 1.015 | 0.784–1.314 |
| Odor as a migraine trigger | 1.718 | 1.029–2.871 | |
| Frequency of disinfectant usage | 0.157 | 1.459 | 0.8652.462 |
| Allodynia (ASC-12) | 1.750 | 1.038–2.950 | |
| Mask type | 2.278 | 1.280–4.057 | |
| Duration of mask use per day | 1.334 | 1.165–1.527 | |
| Preventive treatment | 0.715 | 0.715 | 0.407–1.255 |
| Beck depression inventory score | 1.035 | 1.000–1.070 | |
| Beck anxiety inventory score | 0.689 | 1.005 | 0.979–1.032 |