| Literature DB >> 33725809 |
Chunsong Yang1,2, Tang Yao3, Yuanlong Huang4, Li Zhao5, Lingli Zhang1.
Abstract
ABSTRACT: This study investigated the epidemiological status of depression and its influencing factors among caregivers of children with epilepsy in southwestern China.This was a cross-sectional study. Caregivers of children with epilepsy were recruited from February to June 2018 at the Pediatric Neurology Department of the West China Second Hospital. Depression status was assessed using the Zung Self-Rating Depression Scale. Multiple linear regression analysis was used to assess correlations between depression status and its influencing factors.A total of 319 participants were included. The mean Zung Self-Rating Depression Scale score was 36.37 ± 10.178 and 5.3% (17/319) of participants were classified as depressed. Regression analysis showed that place of residence (B = 0.114; standard error = 0.643; P = .039), attitude towards seizures (B = -0.121; standard error = 1.215; P = .029), medical expenses payment (B = -0.111; standard error = 2.002; P = .044), and children's medication adherence (B = -0.124; standard error = 0.393; P = .025) were related to depression.Some caregivers of children with epilepsy in southwestern China experience depression. Health care providers should pay particular attention to caregivers who live in rural areas, who fear seizures, who experience difficulty paying medical expenses, and whose children show low medication adherence.Entities:
Mesh:
Substances:
Year: 2021 PMID: 33725809 PMCID: PMC7969277 DOI: 10.1097/MD.0000000000023571
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Characteristics of the study population.
| Variable | n | Depression score | F/Z/t | |
| Gender | ||||
| Male | 187 | 36.134 ± 10.193 | 0.236 | .627 |
| Female | 132 | 36.697 ± 10.185 | ||
| Age | −1.246 | .214 | ||
| Place of residence | ||||
| City | 111 | 34.991 ± 10.476 | 2.948 | .054 |
| Suburb county | 77 | 35.584 ± 8.705 | ||
| Rural | 131 | 37.992 ± 10.563 | ||
| Newly diagnosed patient | ||||
| No | 294 | 36.269 ± 10.171 | 0.348 | .556 |
| Yes | 25 | 37.520 ± 10.397 | ||
| Seizure type | ||||
| Generalized epilepsy | 177 | 35.763 ± 9.849 | 1.402 | .237 |
| Focal/partial epilepsy | 142 | 37.120 ± 10.560 | ||
| Epilepsy type | ||||
| Idiopathic | 34 | 38.471 ± 10.827 | 1.179 | .309 |
| Symptomatic | 136 | 36.654 ± 10.618 | ||
| Unknown reason | 149 | 35.624 ± 9.588 | ||
| Family history of epilepsy | ||||
| No | 293 | 36.314 ± 10.149 | 0.096 | .756 |
| Yes | 26 | 36.962 ± 10.679 | ||
| Comorbidity | ||||
| No | 199 | 35.794 ± 9.741 | 1.679 | .196 |
| Yes | 120 | 37.317 ± 10.838 | ||
| Seizure frequency | ||||
| No seizure | 121 | 35.479 ± 9.175 | 1.532 | .179 |
| Everyday | 37 | 36.757 ± 9.993 | ||
| Every week | 11 | 37.091 ± 9.082 | ||
| Every month | 52 | 39.750 ± 11.033 | ||
| Every year | 80 | 35.475 ± 10.766 | ||
| uncertain | 18 | 35.278 ± 11.549 | ||
| Quantity of medication | ||||
| 1 | 251 | 36.335 ± 10.112 | 0.012 | .914 |
| ≥2 | 68 | 36.485 ± 10.493 | ||
| Adverse reactions | ||||
| No | 286 | 36.238 ± 10.257 | 0.443 | .506 |
| Yes | 33 | 37.485 ± 9.537 | ||
| Time for medication use | ||||
| ≤6 month | 81 | 37.556 ± 11.307 | 1.483 | .224 |
| >6 month | 238 | 35.962 ± 9.756 | ||
| Medication adherence | -2.562 | .011 | ||
| Caregivers | ||||
| Parents | 296 | 36.487 ± 10.203 | 0.567 | .452 |
| Non-parents | 23 | 34.826 ± 9.930 | ||
| Caregivers’ age | ||||
| ≤30 years | 116 | 37.845 ± 10.506 | 1.404 | .242 |
| 31–44 years | 167 | 35.335 ± 9.682 | ||
| 45–59 years | 32 | 36.500 ± 10.680 | ||
| ≥60 years | 4 | 35.500 ± 15.438 | ||
| Working status | ||||
| Employed | 208 | 35.817 ± 10.060 | 1.746 | .187 |
| Unemployed | 111 | 37.396 ± 10.362 | ||
| Education level | ||||
| High school or below | 209 | 36.713 ± 10.208 | 0.847 | .430 |
| Specialist | 58 | 34.793 ± 9.729 | ||
| Bachelor degree or above | 52 | 36.731 ± 10.568 | ||
| Attitude towards seizures | ||||
| Fear | 98 | 38.561 ± 11.234 | 2.346 | .019 |
| Not fear | 221 | 35.394 ± 9.539 | ||
| Total household income | ||||
| ≧20000 | 27 | 34.704 ± 8.619 | 1.163 | .327 |
| 10000–20000 RMB | 37 | 34.730 ± 10.126 | ||
| 5000–10000 RMB | 83 | 35.711 ± 10.261 | ||
| 3000–5000 RMB | 112 | 36.679 ± 9.780 | ||
| ≦3000 RMB | 60 | 38.450 ± 11.340 | ||
| Medical expenses payment | ||||
| Difficult to pay | 27 | 40.556 ± 9.799 | 5.060 | .025 |
| Able to pay | 292 | 35.980 ± 10.141 | ||
| Parents marital status | ||||
| Married | 289 | 36.405 ± 10.183 | 0.043 | .836 |
| Non-married | 30 | 36.000 ± 10.292 | ||
Multiple linear regression analysis of factors influencing Depression of caregivers of children with epilepsy.
| Variable | Non-standardized coefficient | Standard error | Standard coefficient | ||
| Constant | 45.175 | 3.535 | 12.779 | .000 | |
| Place of residence | 1.330 | 0.643 | 0.114 | 2.069 | .039 |
| Attitude towards seizures | −2.669 | 1.215 | −0.121 | −2.197 | .029 |
| Medical expenses payment | −4.054 | 2.002 | −0.111 | −2.025 | .044 |
| Medication adherence | −0.885 | 0.393 | −0.124 | −2.253 | .025 |