| Literature DB >> 32920373 |
Stijn Van Hees1, Joseph Nelson Siewe Fodjo2, Veerle Wijtvliet3, Rafael Van den Bergh2, Edlaine Faria de Moura Villela4, Carolina Ferreira da Silva4, Sarah Weckhuysen5, Robert Colebunders6.
Abstract
OBJECTIVE: The objective of this study was to assess access to healthcare and to estimate the prevalence of depression and anxiety among persons with epilepsy (PWE) during the ongoing coronavirus disease 2019 (COVID-19) pandemic.Entities:
Keywords: COVID-19; Epilepsy; HADS; Mental health; PHQ-9
Mesh:
Substances:
Year: 2020 PMID: 32920373 PMCID: PMC7481834 DOI: 10.1016/j.yebeh.2020.107350
Source DB: PubMed Journal: Epilepsy Behav ISSN: 1525-5050 Impact factor: 2.937
Characteristics of the persons with epilepsy (PWE).
| Total n = 399 | ||
|---|---|---|
| Demographic data | ||
| Age | In years (mean ± standard deviation) | 38.22 ± 12.09 |
| Gender | Male; n (%) | 79 (19.8%) |
| Country of residence | Low- to middle-income country; n (%) | 67 (16.8%) |
| High-income country; n (%) | 332 (83.2%) | |
| Marital status | Single; n (%) | 133 (33.3%) |
| Highest educational level | Primary school; n (%) | 16 (4.0%) |
| Secondary school; n (%) | 158 (39.6%) | |
| University undergraduate degree; n (%) | 159 (39.8%) | |
| University postgraduate degree; n (%) | 53 (13.3%) | |
| None; n (%) | 13 (3.3%) | |
| Who do you live with? (housemates) | With parents; n (%) | 78 (19.5%) |
| With spouse/partner; n (%) | 221 (55.4%) | |
| With child(ren); n (%) | 160 (40.1%) | |
| With siblings or other family relatives; n (%) | 30 (7.5%) | |
| With friend(s); n (%) | 12 (3.0%) | |
| Alone; n (%) | 58 (14.5%) | |
| Epilepsy data | ||
| Seizure-free during the last three months before COVID | Yes; n (%) | 238 (59.6%) |
| If not seizure-free, number of seizures over the last three months; median (IQR) | 3 (1–9) | |
| On antiseizure medication | Yes; n (%) | 368 (92.2%) |
| If yes, number of antiseizure medications | 1; n (%) | 199 (54.1%) |
| 2; n (%) | 100 (27.2%) | |
| 3; n (%) | 47 (12.8%) | |
| 4; n (%) | 18 (4.9%) | |
| 5; n (%) | 4 (1.1%) | |
| On antidepressants or anxiolytics | No; n (%) | 313 (78.4%) |
| Yes, since a long time; n (%) | 77 (19.3%) | |
| Yes, since the start of COVID-19; n (%) | 7 (1.8%) | |
| No answer reported; n (%) | 2 (0.5%) | |
| Belongs to an association that supports PWE | Yes; n (%) | 69 (17.3%) |
| FU consultation with neurologist planned before onset of corona | Yes; n (%) | 137 (34.3%) |
| If yes, what happened to the consultation | Canceled; n (%) | 65 (47.4%) |
| Changed to telephone or online consult; n (%) | 45 (32.8%) | |
| Took place as planned; n (%) | 27 (19.7%) | |
FU: follow-up.
Fig. 1Overview of the reported cold symptoms.
Multiple logistic regression analysis to investigate factors associated with depression and anxiety.
| Factors associated with anxiety according to HADS screening tool | ||||||
|---|---|---|---|---|---|---|
| Factor | No anxiety (n = 165) | Anxiety (n = 177) | Crude OR (95% C.I.) | Adjusted OR (95% C.I.) | p | |
| Gender | Female; n (%) | 114 (69.1%) | 156 (88.1%) | 3.489 (1.972–6.175) | 3.691 (2.022–6.740) | < 0.001 |
| Financial problems | Yes; n (%) | 22 (13.3%) | 56 (31.6%) | 3.008 (1.737–5.211) | 2.270 (1.256–4.103) | 0.007 |
| Country of residence | High-income; n (%) | 147 (89.1%) | 128 (72.3%) | 0.320 (0.177–0.577) | 0.360 (0.191–0.682) | 0.002 |
| Problems to obtain ASM | Yes; n (%) | 119 (72.1%) | 58 (64.4%) | 2.206 (1.232–3.331) | 1.605 (0.929–2.771) | 0.090 |
OR: odds ratio. C.I.: confidence interval. FU: follow-up. ASM: antiseizure medication. Only persons with epilepsy who answered the question on financial difficulties were included (n = 342).