Altered brain perfusion and oxygen levels relate to sleepiness and attention in post-COVID syndrome.

OBJECTIVE: Persisting neurological symptoms after COVID-19 affect up to 10% of patients and can manifest in fatigue and cognitive complaints. Based on recent evidence, we evaluated whether cerebral hemodynamic changes contribute to post-COVID syndrome (PCS). METHODS: Using resting-state functional magnetic resonance imaging, we investigated brain perfusion and oxygen level estimates in 47 patients (44.4 ± 11.6 years; F:M = 38:9) and 47 individually matched healthy control participants. Group differences were calculated using two-sample t-tests. Multivariable linear regression was used for associations of each regional perfusion and oxygen level measure with cognition and sleepiness measures. Exploratory hazard ratios were calculated for each brain metric with clinical measures. RESULTS: Patients presented with high levels of fatigue (79%) and daytime sleepiness (45%). We found widespread decreased brain oxygen levels, most evident in the white matter (false discovery rate adjusted-p-value (p-FDR) = 0.038) and cortical grey matter (p-FDR = 0.015). Brain perfusion did not differ between patients and healthy participants. However, delayed patient caudate nucleus perfusion was associated with better executive function (p-FDR = 0.008). Delayed perfusion in the cortical grey matter and hippocampus were associated with a reduced risk of daytime sleepiness (hazard ratio (HR) = 0.07, p = 0.037 and HR = 0.06, p = 0.034). Decreased putamen oxygen levels were associated with a reduced risk of poor cognitive outcome (HR = 0.22, p = 0.019). Meanwhile, lower thalamic oxygen levels were associated with a higher risk of cognitive fatigue (HR = 6.29, p = 0.017). INTERPRETATION: Our findings of lower regional brain blood oxygen levels suggest increased cerebral metabolism in PCS, which potentially holds a compensatory function. These hemodynamic changes were related to symptom severity, possibly representing metabolic adaptations.

Predictors of non-recovery from fatigue and cognitive deficits after COVID-19: a prospective, longitudinal, population-based study.

Background: Despite the high prevalence and major disability associated with fatigue and cognitive deficits after SARS-CoV-2 infection, little is known about long-term trajectories of these sequelae. We aimed to assess long-term trajectories of these conditions and to identify risk factors for non-recovery. Methods: We analyzed longitudinal data from the population-based COVIDOM/NAPKON-POP cohort in Germany. Participants with confirmed SARS-CoV-2 infection were assessed at least 6 months (baseline) and again at least 18 months (follow-up) after infection using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue) Scale (cutoff ≤ 30) and the Montreal Cognitive Assessment (MoCA, cutoff ≤ 25). Predictors of recovery from fatigue or cognitive deficits between assessments were identified through univariate and multivariable logistic regression models. The COVIDOM study is registered at the German registry for clinical studies (DRKS00023742) and at ClinicalTrials.gov (NCT04679584). Findings: Between 15 November 2020 and 9 May 2023, a total of 3038 participants were assessed at baseline (median 9 months after infection) and 83% responded to invitations for follow-up (median 26 months after infection). At baseline, 21% (95% confidence interval (CI) [20%, 23%]) had fatigue and 23% (95% CI [22%, 25%]) had cognitive deficits according to cutoff scores on the FACIT-Fatigue or MoCA. Participants with clinically relevant fatigue (at baseline) showed significant improvement in fatigue scores at follow-up (Hedges' g [95% CI] = 0.73 [0.60, 0.87]) and 46% (95% CI [41%, 50%]) had recovered from fatigue. Participants with cognitive deficits showed a significant improvement in cognitive scores (g [95% CI] = 1.12 [0.90, 1.33]) and 57% (95% CI [50%, 64%]) had recovered from cognitive deficits. Patients with fatigue exhibiting a higher depressive symptom burden and/or headache at baseline were significantly less likely to recover. Significant risk factors for cognitive non-recovery were male sex, older age and <12 years of school education. Importantly, SARS-CoV-2 reinfection had no significant impact on recovery from fatigue or cognitive deficits. Interpretation: Fatigue and cognitive deficits are common sequelae after SARS-CoV-2 infection. These syndromes improved over time and about half of the patients recovered within two years. The identified risk factors for non-recovery from fatigue and cognitive deficits could play an important role in shaping targeted strategies for treatment and prevention. Funding: Funded by the German Federal Ministry of Education and Research (BMBF; grant number 01KX2121) and German Research Foundation (DFG) Excellence Cluster "Position Medicine in Information".

Structural brain changes in patients with post-COVID fatigue: a prospective observational study.

Background: Post-COVID syndrome is a severe long-term complication of COVID-19. Although fatigue and cognitive complaints are the most prominent symptoms, it is unclear whether they have structural correlates in the brain. We therefore explored the clinical characteristics of post-COVID fatigue, describe associated structural imaging changes, and determine what influences fatigue severity. Methods: We prospectively recruited 50 patients from neurological post-COVID outpatient clinics (age 18-69 years, 39f/8m) and matched non-COVID healthy controls between April 15 and December 31, 2021. Assessments included diffusion and volumetric MR imaging, neuropsychiatric, and cognitive testing. At 7.5 months (median, IQR 6.5-9.2) after the acute SARS-CoV-2 infection, moderate or severe fatigue was identified in 47/50 patients with post-COVID syndrome who were included in the analyses. As a clinical control group, we included 47 matched multiple sclerosis patients with fatigue. Findings: Our diffusion imaging analyses revealed aberrant fractional anisotropy of the thalamus. Diffusion markers correlated with fatigue severity, such as physical fatigue, fatigue-related impairment in everyday life (Bell score) and daytime sleepiness. Moreover, we observed shape deformations and decreased volumes of the left thalamus, putamen, and pallidum. These overlapped with the more extensive subcortical changes in MS and were associated with impaired short-term memory. While fatigue severity was not related to COVID-19 disease courses (6/47 hospitalised, 2/47 with ICU treatment), post-acute sleep quality and depressiveness emerged as associated factors and were accompanied by increased levels of anxiety and daytime sleepiness. Interpretation: Characteristic structural imaging changes of the thalamus and basal ganglia underlie the persistent fatigue experienced by patients with post-COVID syndrome. Evidence for pathological changes to these subcortical motor and cognitive hubs provides a key to the understanding of post-COVID fatigue and related neuropsychiatric complications. Funding: Deutsche Forschungsgemeinschaft (DFG) and German Ministry of Education and Research (BMBF).

The German version of the body image scale: Validation and item response analysis in cancer patients.

OBJECTIVE: To translate the cancer-specific Body Image Scale (BIS) into German and assess its psychometric properties. METHODS: The BIS was translated in accordance with current guidelines. In a prospective, cross-sectional two center study (psychosocial counselling center for cancer patients Leipzig, oncological inpatient ward Berlin), we assessed composite reliability and factor structure using confirmatory factor analysis. Additional item response theory (IRT) modelling was performed. Convergent validity was assessed via correlation with the Body Appreciation Scale (BAS) as well as psychological symptom burden (PHQ-9, GAD-2 and Distress Thermometer). Discriminant validity was assessed via demographic and clinical group comparisons. RESULTS: 677 patients participated (response rate 78%). Composite reliability was 0.95 and the one-factor structure was confirmed (standardized root mean square residual = 0.051, average variance extracted ≥50%, no indications of local dependence). In IRT models, all items had a discriminating power above the established threshold of b = 0.5 and relatively high "difficulty" parameters (b = 0.89-2.06). The BIS was negatively correlated with the BAS (rho = -0.62, p < 0.001) and positively with psychological symptom burden (e.g. PHQ-9: rho = 0.49, p < 0.001). Patients who were younger, female, had undergone chemotherapy, radiotherapy or surgery and those who were distressed by fatigue, their appearance or sexual problems had significantly higher BIS scores. CONCLUSION: The German version of the BIS is a valid tool to assess BID in patients with cancer that is now available for clinical or research contexts.

Fatigue and cognitive impairment after COVID-19: A prospective multicentre study.

Background: Reliable estimates of frequency, severity and associated factors of both fatigue and cognitive impairment after COVID-19 are needed. Also, it is not clear whether the two are distinct sequelae of COVID-19 or part of the same syndrome." Methods: In this prospective multicentre study, frequency of post-COVID fatigue and cognitive impairment were assessed in n = 969 patients (535 [55%] female) ≥6 months after SARS-CoV-2 infection with the FACIT-Fatigue scale (cut-off ≤30) and Montreal Cognitive Assessment (≤25 mild, ≤17 moderate impairment) between November 15, 2020 and September 29, 2021 at University Medical Center Schleswig-Holstein, Campus Kiel and University Hospital Würzburg in Germany. 969 matched non-COVID controls were drawn from a pre-pandemic, randomised, Germany-wide population survey which also included the FACIT-Fatigue scale. Associated sociodemographic, comorbid, clinical, psychosocial factors and laboratory markers were identified with univariate and multivariable linear regression models. Findings: On average 9 months after infection, 19% of patients had clinically relevant fatigue, compared to 8% of matched non-COVID controls (p < 0.001). Factors associated with fatigue were female gender, younger age, history of depression and the number of acute COVID symptoms. Among acute COVID symptoms, altered consciousness, dizziness and myalgia were most strongly associated with long-term fatigue. Moreover, 26% of patients had mild and 1% had moderate cognitive impairment. Factors associated with cognitive impairment were older age, male gender, shorter education and a history of neuropsychiatric disease. There was no significant correlation between fatigue and cognitive impairment and only 5% of patients suffered from both conditions. Interpretation: Fatigue and cognitive impairment are two common, but distinct sequelae of COVID-19 with potentially separate pathophysiological pathways. Funding: German Federal Ministry of Education and Research (BMBF).

Psychometric Evaluation of the German Version of the Demoralization Scale-II and the Association Between Demoralization, Sociodemographic, Disease- and Treatment-Related Factors in Patients With Cancer.

Objective: To test the psychometric properties, internal consistency, dimensional structure, and convergent validity of the German version of the Demoralization Scale-II (DS-II), and to examine the association between demoralization, sociodemographic, disease- and treatment-related variables in patients with cancer. Methods: We recruited adult patients with cancer at a Psychosocial Counseling Center and at oncological wards. Participants completed the 16-item DS-II, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Screener-2 (GAD-2), Distress Thermometer (DT), and Body Image Scale (BIS). We analyzed internal consistency of the DS-II using Cronbach's Alpha (α). We tested the dimensional structure of the DS-II with Confirmatory Factor Analyses (CFA). Convergent validity was expressed through correlation coefficients with established measures of psychological distress. The associations between demoralization, sociodemographic, disease- and treatment-related variables were examined with ANOVAs. Results: Out of 942 eligible patients, 620 participated. The average DS-II total score was M = 5.78, SD = 6.34, the Meaning and Purpose subscale M = 2.20, SD = 3.20, and the Distress and Coping Ability subscale M = 3.58, SD = 3.45. Internal consistency ranged from high to excellent with α = 0.93 for the DS-II total scale, α = 0.90 for the Meaning and Purpose subscale, and α = 0.87 for the Distress and Coping Ability subscale. The one-factor and the two-factor model yielded similar model fits, with CFI and TLI ranging between 0.910 and 0.933, SRMR < 0.05. The DS-II correlated significantly with depression (PHQ-9: r = 0.69), anxiety (GAD-2: r = 0.72), mental distress (DT: r = 0.36), and body image disturbance (BIS: r = 0.58). High levels of demoralization were reported by patients aged between 18 and 49 years (M = 7.77, SD = 6.26), patients who were divorced/separated (M = 7.64, SD = 7.29), lung cancer patients (M = 9.29, SD = 8.20), and those receiving no radiotherapy (M = 7.46, SD = 6.60). Conclusion: The DS-II has very good psychometric properties and can be recommended as a reliable tool for assessing demoralization in patients with cancer. The results support the implementation of a screening for demoralization in specific risk groups due to significantly increased demoralization scores.

Antidepressant prescriptions and associated factors in men with prostate cancer and their female partners.

PURPOSE: To estimate the risk of first-time antidepressant prescriptions as a proxy for depression or anxiety and associated risk factors in patients with prostate cancer and their female partners. METHODS: We followed all men (n = 25,126) and their female cohabiting partners (n = 8785) without a history of cancer or antidepressants from the Danish Diet, Cancer and Health cohort from 1997 to 2014 or 2010, respectively. We estimated the cumulative incidence of first-time antidepressant prescriptions in men with prostate cancer compared with cancer-free men and their respective female partners, using the Danish National Prescription Registry. Sociodemographic, lifestyle-related, and clinical risk factors were assessed using Cox regression models. RESULTS: A total of 1828 men were diagnosed with prostate cancer of whom 15% received antidepressants. The unadjusted hazard ratio of antidepressant prescription was 2.18 (95%CI, 1.92, 2.48) for men with prostate cancer and 1.27 (95%CI, 0.87, 1.85) for their partners, compared with cancer-free men and their partners, respectively. After adjusting for sociodemographic, lifestyle-related, and comorbidity factors, this risk was 2-fold to 4-fold increased among patients, but not significantly increased among partners. Significant risk factors among patients were curative and palliative treatment (vs. active surveillance and watchful waiting), nonlocalized disease, and short education. CONCLUSIONS: Men with prostate cancer have a higher risk of receiving antidepressant medication than cancer-free men. Clinical characteristics can help clinicians in identifying patients at a high risk of depression or anxiety. IMPLICATIONS FOR CANCER SURVIVORS: Men with prostate cancer who experience symptoms of depression or anxiety should seek professional help early on. Patient education could aid in raising awareness and reducing the stigma associated with mental disorders.

Frequency and network analysis of depressive symptoms in patients with cancer compared to the general population.

BACKGROUND: The use of sum scores of depressive symptoms has been increasingly criticized and may be particularly problematic in oncological settings. Frameworks analyzing individual symptoms and their interrelationships such as network analysis represent an emerging alternative. METHODS: We aimed to assess frequencies and interrelationships of 9 DSM-5 symptom criteria of major depression reported in the PHQ-9 questionnaire by 4020 patients with cancer and 4020 controls from the general population. We estimated unregularized Gaussian graphical models for both samples and compared network structures as well as predictability and centrality of individual symptoms. RESULTS: Depressive symptoms were more frequent, but less strongly intercorrelated in patients with cancer than in the general population. The overall network structure differed significantly between samples (correlation of adjacency matrices: rho=0.73, largest between-group difference in any edge weight: 0.20, p < 0.0001). Post-hoc tests showed significant differences in interrelationships for four symptom pairs. The mean variance of symptoms explained by all other symptoms in the same network was lower among cancer patients than in the general population (29% vs. 43%). LIMITATIONS: Cross-sectional data do not allow for temporal or causal inferences about the directions of associations and results from population-based samples may not apply to clinical psychiatric populations. CONCLUSIONS: In patients with cancer, both somatic and cognitive/affective depression symptoms are less likely to be explained by other depressive symptoms than in the general population. Rather than assuming a consistent depression construct, future research should study individual depressive symptom patterns and their potential causes in patients with cancer.

Return to Work in Patients with Hematological Cancers 1 Year after Treatment: A Prospective Longitudinal Study.

BACKGROUND: Although hematological cancer survivors have a high risk of disability, data on work-related issues are scarce for this population. METHODS: We investigated return to work (RTW) and work ability (Work Ability Index, WAI) in hematological cancer patients 6 months and 1 year after cancer treatment. We explored associations between baseline sociodemographic and medical characteristics and RTW as well as work ability at follow-up. RESULTS: The participation rate was 42% (baseline n = 91, after 12 months n = 40 (44%)). 6 months after cancer treatment, 33% (95% confidence interval 21%-46%) of the remaining patients had returned to work. After 12 months, the RTW rate was 58% (42%-73%). Mean WAI sum score ± SD significantly increased from 18.5 ± 7.3 at baseline to 28.3 ± 8.3 after 12 months (p = 0.001). Patients with lymphoma (r = 0.31, p = 0.02) and patients who received radiation therapy (r = 0.29, p = 0.04) were significantly more likely to return to work. Work ability after 6 months was most strongly associated with higher education (r = 0.60, p < 0.01). Patients' subjective prognosis of gainful employment before cancer treatment predicted work ability after 6 (r = 0.62, p < 0.01) and 12 months (r = 0.51, p < 0.01). CONCLUSION: The chance of returning to work of hematological malignancy survivors is similar to that of other cancer patients.

The Generalized Anxiety Disorder Screener (GAD-7) and the anxiety module of the Hospital and Depression Scale (HADS-A) as screening tools for generalized anxiety disorder among cancer patients.

OBJECTIVE: Anxiety in cancer patients may represent a normal psychological reaction. To detect patients with pathological levels, appropriate screeners with established cut-offs are needed. Given that previous research is sparse, we investigated the diagnostic accuracy of 2 frequently used screening tools in detecting generalized anxiety disorder (GAD). METHODS: We used data of a multicenter study including 2141 cancer patients. Diagnostic accuracy was investigated for the Generalized Anxiety Disorder Screener (GAD-7) and the anxiety module of the Hospital Anxiety and Depression Scale (HADS-A). GAD, assessed with the Composite International Diagnostic Interview for Oncology, served as a reference standard. Overall accuracy was measured with the area under the receiver operating characteristics curve (AUC). The AUC of the 2 screeners were statistically compared. We also calculated accuracy measures for selected cut-offs. RESULTS: Diagnostic accuracy could be interpreted as adequate for both screeners, with an identical AUC of .81 (95% CI: .79-.82). Consequently, the 2 screeners did not differ in their performance (P = .86). The best balance between sensitivity and specificity was found for cut-offs ≥7 (GAD-7) and ≥8 (HADS-A). The officially recommended thresholds for the GAD-7 (≥ 10) and the HADS-A (≥11) showed low sensitivities of 55% and 48%, respectively. CONCLUSIONS: The GAD-7 and HADS-A showed AUC of adequate diagnostic accuracy and hence are applicable for GAD screening in cancer patients. Nevertheless, the choice of optimal cut-offs should be carefully evaluated.

COMSKIL Communication Training in Oncology-Adaptation to German Cancer Care Settings.

Medical communication is a skill which can be learned and taught and which can substantially improve treatment outcomes, especially if patients' communication preferences are taken into account. Here, we give an overview of communication training research and outline the COMSKIL program as a state-of-the-art communication skills training in oncology. COMSKIL has a solid theoretical foundation and teaches core elements of medical communication in up to ten fully operationalized modules. These address typical situations ranging from breaking bad news to responding to difficult emotions, shared decision-making, and communicating via interpreters.

The Hospital Anxiety and Depression Scale (HADS) and the 9-item Patient Health Questionnaire (PHQ-9) as screening instruments for depression in patients with cancer.

BACKGROUND: Depression screening in patients with cancer is recommended by major clinical guidelines, although the evidence on individual screening tools is limited for this population. Here, the authors assess and compare the diagnostic accuracy of 2 established screening instruments: the depression modules of the 9-item Patient Health Questionnaire (PHQ-9) and the Hospital Anxiety and Depression Scale (HADS-D), in a representative sample of patients with cancer. METHODS: This multicenter study was conducted with a proportional, stratified, random sample of 2141 patients with cancer across all major tumor sites and treatment settings. The PHQ-9 and HADS-D were assessed and compared in terms of diagnostic accuracy and receiver operating characteristic (ROC) curves for Diagnostic and Statistical Manual of Mental Disorders, 4th edition diagnosis of major depressive disorder using the Composite International Diagnostic Interview for Oncology as the criterion standard. RESULTS: The diagnostic accuracy of the PHQ-9 and HADS-D was fair for diagnosing major depressive disorder, with areas under the ROC curves of 0.78 (95% confidence interval, 0.76-0.79) and 0.75 (95% confidence interval, 0.74-0.77), respectively. The 2 questionnaires did not differ significantly in their areas under the ROC curves (P = .15). The PHQ-9 with a cutoff score ≥7 had the best screening performance, with a sensitivity of 83% (95% confidence interval, 78%-89%) and a specificity of 61% (95% confidence interval, 59%-63%). The American Society of Clinical Oncology guideline screening algorithm had a sensitivity of 44% (95% confidence interval, 36%-51%) and a specificity of 84% (95% confidence interval, 83%-85%). CONCLUSIONS: In patients with cancer, the screening performance of both the PHQ-9 and the HADS-D was limited compared with a standardized diagnostic interview. Costs and benefits of routinely screening all patients with cancer should be weighed carefully. Cancer 2017;123:4236-4243. © 2017 American Cancer Society.

The association of demoralization with mental disorders and suicidal ideation in patients with cancer.

BACKGROUND: Demoralization refers to a state in which there is a perceived inability to cope, that is associated with a sense of disheartenment and a loss of hope and meaning. This study investigated the co-occurrence versus independence of demoralization with mental disorders and suicidal ideation to evaluate its features as a concept of distress in the context of severe illness. METHODS: In a cross-sectional sample of 430 mixed cancer patients, we assessed demoralization with the Demoralization Scale (DS); the 4-week prevalence of mood, anxiety, and adjustment disorders and suicidal ideation with the standardized Composite International Diagnostic Interview-Oncology (CIDI-O); and depressive symptoms with the Patient Health Questionnaire-9 (PHQ-9). We compared the relative risk (RR) for mental disorders associated with demoralization to that associated with self-reported depression. RESULTS: Clinically relevant levels of demoralization were present in 21% of the patients. Demoralization co-occurred with a mood/anxiety disorder in 7%; 14% were demoralized in absence of any mood/anxiety disorder. Demoralization and adjustment disorders co-occurred in 2%. The RR for any mood/anxiety disorder was 4.0 in patients with demoralization (95% confidence interval [CI], 2.5-6.2) and 3.0 in those with depression (95% CI, 1.9-4.6). Demoralization, but not depression, was associated with a significantly increased risk for suicidal ideation after controlling for mental disorders (RR, 2.0; 95% CI, 1.1-3.5). CONCLUSIONS: Clinically relevant demoralization frequently occurs independently of a mental disorder in patients with cancer and has a unique contribution to suicidal ideation. Demoralization is a useful concept to identify profiles of psychological distress symptoms amenable to interventions improving psychological well-being in this population. Cancer 2017;123:3394-401. © 2017 American Cancer Society.

Death-Related Anxiety in Patients With Advanced Cancer: Validation of the German Version of the Death and Dying Distress Scale.

CONTEXT: Distress and anxiety about issues related to death and dying is commonly experienced in patients with advanced disease and a limited life expectancy. OBJECTIVES: To evaluate the psychometric properties of the German version of the Death and Dying Distress Scale (DADDS-G) in advanced cancer patients. METHODS: We recruited advanced patients with mixed tumor entities (Union for International Cancer Control [UICC] Stage III/IV) treated in two German University Medical Centers during their outpatient treatment. After testing a preliminary version of the state-of-the-art translated original Death and Dying Distress Scale, we analyzed the psychometric properties of the shortened nine-item adapted DADDS-G using validated instruments measuring distress, anxiety, depression, fear of progression, and quality of life. RESULTS: We obtained complete questionnaires from 77 of 93 patients with advanced cancer (response rate: 83%). Participants were mostly married or cohabiting (75%), well-educated, and both sexes were almost equally represented (52% men; mean age 58 years, SD = 12). The total mean DADDS-G score was 13.3 (SD = 8.5). Patients reported to be most distressed by the feeling of being a burden to others. The exploratory factor analysis led to one factor that accounted for more than 59% of the variance. The DADDS-G's internal consistency was excellent with Cronbach alpha = 0.91. The confirmatory factor analysis demonstrated a very good model fit. Death-related anxiety was significantly associated with distress, depression, anxiety, fear of progression, and lower quality of life (P < 0.001). CONCLUSION: Results provide further evidence that the DADDS-G is a valid and reliable instrument of high clinical relevance for use in patients with advanced cancer.

Age-related variation and predictors of long-term quality of life in germ cell tumor survivors.

PURPOSE: To compare long-term health-related quality of life (QoL) in germ cell tumor survivors (GCTS) and age-adjusted men and to identify predictors of variation in long-term QoL in GCTS. METHODS: We used the Short-Form Health Survey to measure QoL in a cross-sectional sample of 164 survivors of germ cell tumors from Hamburg, Germany. QoL was compared with age-adjusted German norm data. Sociodemographic and medical data from questionnaires and medical records were used to find predictors of QoL. RESULTS: On average, patients were 44.4 years old (standard deviation = 9.6 y) and average time since first germ cell tumor diagnosis was 11.6 years (standard deviation = 7.3 y). We found significantly lower mental component scores in GCTS when compared with norm data (Hedges g =-0.44, P<0.001). An exploratory analysis by age group showed the largest difference in mental QoL in survivors aged 31 to 40 years (Hedges g =-0.67). Linear regression analysis revealed age (ß =-0.46, P<0.001), marital status (ß = 0.20, P = 0.024), advanced secondary qualifications (ß =-0.25, P = 0.001), time since diagnosis (ß = 0.17, P = 0.031), and tumor stage (ß = 0.17, P = 0.024) as statistically significant predictors of the physical component score, accounting for 22% of the variance. Statistically significant predictors of the mental component score were higher secondary qualifications (ß = 0.17, P = 0.033) and unemployment (ß =-0.21, P = 0.009), accounting for 6% of the variance. CONCLUSIONS: Survivors of germ cell tumors can expect an overall long-term QoL similar to that of other men of their age.