| Literature DB >> 34732679 |
Winsome Lam1, Doris Y P Leung, Su-Fang Li, Yan-Zhi Yi, Hai-Xia Wang, Li Zhou, Yan Yin, Stephen C W Chan, Kitty Y Y Chan, Jacqueline M C Ho, Frances K Y Wong.
Abstract
BACKGROUND: Because of their cancer and treatment adverse effects, most pediatric oncology patients will experience 1 or more symptoms at one time that can seriously affect their quality of life. Because these children are attached to parents, their symptom burden directly influences the parental stress level and parental interpretations of their children's quality of life.Entities:
Mesh:
Year: 2021 PMID: 34732679 PMCID: PMC9415217 DOI: 10.1097/NCC.0000000000001032
Source DB: PubMed Journal: Cancer Nurs ISSN: 0162-220X Impact factor: 2.760
Sociodemographics of Children
| N = 80 | |
|---|---|
| Gender | |
| Male | 44 (55.0%) |
| Female | 36 (45.0%) |
| Average age, y | 12.3 ± 2.1 |
| Average age of receiving diagnosis of the illness, y | 9.6 ± 2.5 |
| Treatment stage | |
| Initial treatment | 68 (85.0%) |
| Treatment for relapsed case | 12 (15.0%) |
| Diagnosis of case receiving initial treatment | |
| Hemopoietic malignancies | 41 (60.3%) |
| Tumor | 27 (39.7%) |
| Diagnosis of relapsed case | |
| Tumor | 12 (100%) |
| Stopped treatment and did not follow doctor’s prescription | |
| No | 78 (97.5%) |
| Yes | 2 (2.5%) |
| Medical expense supported by self-finance | |
| Yes | 47 (58.8%) |
| No | 33 (41.3%) |
| Medical expense supported by donation | |
| Yes | 5 (6.3%) |
| No | 75 (93.8%) |
| Medical expense supported by insurance | |
| Yes | 7 (8.8%) |
| No | 73 (91.3%) |
| Medical expense supported by Rural Cooperative Medical Care | |
| Yes | 14 (17.5%) |
| No | 66 (82.5%) |
| Medical expense supported by social insurance | |
| Yes | 52 (65.0%) |
| No | 28 (35.0%) |
| Medical expense subsidized by the government | |
| Yes | 5 (6.3%) |
| No | 75 (93.8%) |
| Average no. times of admissions in the past year | 3.0 ± 6.9 |
| Average no. days of hospitalization in the past year | 15.2 ± 37.8 |
| Deferred study because of the disease in the past year | |
| Yes | 46 (57.5%) |
| No | 34 (42.5%) |
Sociodemographics of Parents
| N = 80 | |
|---|---|
| Sex | |
| Male | 17 (21.3%) |
| Female | 63 (78.8%) |
| Age, y | 40.5 ± 4.7 |
| Employment status | |
| Full-time | 29 (36.3%) |
| Part-time | 16 (20.0%) |
| Unemployed | 35 (43.8%) |
| Educational level | |
| Primary school | 4 (5.0%) |
| Secondary school | 47 (58.8%) |
| Postsecondary/tertiary | 27 (33.8%) |
| Postgraduate | 2 (2.5%) |
| Religion | |
| No | 55 (68.8%) |
| Worshipping ancestors | 10 (12.5%) |
| Christianity | 5 (6.3%) |
| Buddhism | 10 (12.5%) |
| Marital status | |
| Married | 70 (87.5%) |
| Othersa | 10 (12.5%) |
| Family financial status | |
| Poor | |
| Good | 25 (31.3%) |
| Very good | 48 (60.0%) |
| 7 (8.8%) | |
| Average no. days left from work because of taking care of the child | 92.1 ± 142.5 |
aIncluding single, divorced, and widowed.
Descriptive Statistics of MSAS, PSS-10, Parent-Reported PedsQL, and Child-Reported PedsQL
| Mean ± SD | MSAS | PSS-10 | Parent-Reported PedsQL | Child-Reported PedsQL | |||||
|---|---|---|---|---|---|---|---|---|---|
|
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|
|
|
|
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| MSAS | 0.28 ± 0.28 | — | — | 0.376 | .001 | −0.293 | .008 | −0.474 | <.001 |
| PSS-10 | 17.8 ± 4.2 | 0.376 | .001 | — | — | −0.320 | .004 | −0.241 | .031 |
| Parent-reported PedsQL | 69.8 ± 17.9 | −0.293 | .008 | −0.320 | .004 | — | — | 0.681 | <.001 |
| Child-reported PedsQL | 75.9 ± 18.3 | −0.474 | <.001 | −0.241 | .031 | 0.681 | <.001 | — | — |
Abbreviations: MSAS, Memorial Symptom Assessment Scale; PedsQL, Pediatric Quality-of-Life Inventory; PSS-10, 10-item Perceived Stress Scale.
Figure 1Mediating effect of parents’ stress on the relationship of children’s symptom burden with children’s quality of life. (Covariates included relationship with child, parent’s employment status, family financial status, child’s gender, number of days of hospitalization, and deferment of study.)
Figure 2Mediating effect of parents’ stress on the relationship of children’s symptom burden with parent-report children’s quality of life. (Covariates included relationship with child, parent’s employment status, child’s gender, number of days of hospitalization, and deferment of study.)