3. Demographic characteristics.
| Characteristics of study | Risk factors | Associated factors | ||||||
| Study ID | Tumour type | Dependent factor | Gender | Ethnicity | Age at assessment | Education | Marital status | Employment |
| Barrera 2012 | Bone tumour | Fatigue (continuous) | S (female mean 26.19 vs male mean 11.11) | ‐ | NS (age ≤ 25 yrs mean 14.07 vs age ≥ 26 yrs mean 23.93) | ‐ | ‐ | ‐ |
| Cheung 2017 | ALL | Fatigue (continuous) | NS (no further information) | ‐ | ‐ | ‐ | ‐ | ‐ |
| Hamre 2013a | ALL, NHL, HL | Severe fatigue | NSa (female; OR = 0.8) | ‐ | NSa (OR = 1.05) | NS (≥ 11 yrs; OR = 1.6) | NS (not in a partnership; OR = 0.7) | ‐ |
| Ho 2019b | Mix | Fatigue (continuous) | NSa (7 ‐ 12 yrs b = −0.03; 13 ‐ 18 yrs; b = 0.06) | ‐ | NSa (7 ‐ 12 yrs b = −0.09; 13 ‐ 18 yrs b = 0.01) | ‐ | ‐ | ‐ |
| Johannsdottir 2012 | AML, IA, WT | Severe fatigue | NSa (female; OR = 1.54) | ‐ | Sa (OR = 1.08) | NSa (academic education; OR = 0.63) | NSa (married/cohabiting; OR = 1.09) | NSa (gainfully employed; OR = 1.18) |
| Langeveld 2003 | Mix | Fatigue (continuous) | Sa (female; b = 0.19) | ‐ | NSa (b = 0.01) | NSa (higher level; b = 0.03) | NSa (married; b = 0.04) | Sa (ref = unemployed; student/homemaker b = −0.12; employed b = −0.20) |
| Meeske 2005 | ALL | Moderate to severe fatigue | S (female; OR = 2.11) | S (ref = white; Hispanic OR = 2.56; other OR = 1.30) | NS (ref = 18 ‐ 19 yrs; 20 ‐ 24 yrs OR = 0.74; 25 ‐ 29 yrs OR = 1.93; 30 ‐ 41 yrs OR = 1.53) | NS (ref ≤ high school graduate; some college OR = 0.84; college graduate OR = 0.84) | Sa (married; OR = 0.11) | S (ref = work full‐time; work part‐time OR = 1.88; student OR = 1.25; student and working OR = 0.64; unemployed OR = 6.00) |
| Mört 2011 | Mix | Fatigue (continuous) | NSa (female; b = 2.99) | ‐ | Sa (b = −1.87) | ‐ | ‐ | ‐ |
| Mulrooney 2008 | Mix | Fatigued | Sa (female; OR = 1.9) | ‐ | ‐ | ‐ | Sa (not married; OR = 2.7) | NSa (not working full‐time; OR = 1.2) |
| Pemberger 2005 | Mix | Fatigue (continuous) | S (female, no further information) | ‐ | ‐ | ‐ | ‐ | ‐ |
| Puhr 2019 | CNS | Severe fatigue | NS (no further information) | ‐ | NS (no further information) | ‐ | ‐ | ‐ |
| Tremolada 2018 | Mix | Fatigue (continuous) | NS (r = −0.150) | ‐ | NS (r = 0.081) | NS (no further information) | ‐ | ‐ |
| Zeller 2014a# | ALL, NHL, HL | Persistent severe fatigue | ‐ | ‐ | ‐ | NS (higher level education ≥ 12 yrs; cases n = 11 vs controls n = 21) | ‐ | NS (at present in paid work; cases n = 17 vs controls n = 21) |
Demographic risk and associated factors for fatigue. Presented results are from univariable analyses, unless multivariable analyses were available. In that case, we present only the results of the multivariable analyses in this table. For Pemberger 2005, it was unclear if analysis was univariable or multivariable. More detailed information about the effect estimates can be found in the Characteristics of included studies tables.
ALL: acute lymphoblastoma leukaemia; AML: acute myeloid leukaemia; b: beta coefficient regression; CNS: central nervous system tumour; HL: Hodgkins lymphoma; IA: infratentorial astrocytoma; MD: mean difference; Mix: covering a broad range of childhood cancer diagnoses; NHL: non‐Hodgkins lymphoma; NS: non‐significant; OR: odds ratio; r: correlation coefficient; S: Significant; WT: Wilms tumour
aresults of multivariable analyses. bHo 2019 performed separate analysis for survivors aged 7 ‐ 12 years and 13 ‐ 18 years at the time of fatigue assessment. cZeller 2014a is a longitudinal study. The investigated factors can therefore be interpreted as risk factors instead of associated factors.