Objective
Psychological distress is common in cancer patients, and awareness of its indicators is essential. We aimed to assess the prevalence of psychological distress and to identify problems ...indicative of high distress.
Methods
We used the distress thermometer (DT) and its 34‐item problem list to measure psychological distress in 3724 cancer patients (mean age 58 years; 57% women) across major tumor entities, enrolled in an epidemiological multicenter study. To identify distress‐related problems, we conducted monothetic analyses.
Results
We found high levels of psychological distress (DT ≥ 5) in 52% of patients. The most prevalent problems were fatigue (56%), sleep problems (51%), and problems getting around (47%). Sadness, fatigue, and sleep problems were most strongly associated with the presence of other problems. High distress was present in 81.4% of patients reporting all 3 of these problems (DT M = 6.4). When analyzing only the subset of physical problems, fatigue, problems getting around, and indigestion showed the strongest association with the remaining problems and 76.3% of patients with all 3 problems were highly distressed (DT M = 6.1).
Conclusions
Our results show a high prevalence of psychological distress in cancer patients, as well as a set of problems that indicate the likely presence of other problems and high distress and can help clinicians identify distressed patients even if no routine distress screening is available.
To date, research on stigmatization among cancer patients and related psychosocial consequences has been scarce and mostly based on small and highly selected samples. We investigated stigmatization ...and its impact on quality of life among a large sample including four major tumor entities.
We assessed 858 patients with breast, colon, lung or prostate cancer from two cancer registries. Stigmatization and quality of life (QoL) was assessed with the Social Impact Scale (SIS-D) and the EORTC Quality of Life Questionnaire (European Organization for Research and Treatment of Cancer), respectively. Group effects were analyzed via analyses of variance, relationships were investigated via Pearson's r and stepwise regression analyses.
The mean age was 60.7 years, 54% were male. Across cancer sites, the dimensions of stigmatization (isolation, social rejection, financial insecurity and internalized shame) were in the lower and middle range, with the highest values found for isolation. Stigmatization was lowest among prostate cancer patients. Stigmatization predicted all five areas of QoL among breast cancer patients (p < .05), but only affected emotional functioning (p < .01) among lung cancer patients.
We found an inverse relationship between perceived cancer-related stigmatization and various dimensions of QoL, with variation between cancer sites. Breast cancer patients should be focused in individual therapies regarding the negative consequences accompanied by perceived stigmatization.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Abstract Background Depression is a common co-morbidity of cancer that has a detrimental effect on quality of life, treatment adherence and potentially survival. We conducted an epidemiological ...multi-center study including a population-based random comparison sample and estimated the prevalence of depressive symptoms by cancer site, thereby identifying cancer patients with the highest prevalence of depression. Patients and methods We included 4020 adult cancer inpatients and outpatients from five distinct regions across Germany in a proportional stratified random sample based on the nationwide cancer incidence and a comparison group consisting of 5018 participants. Both groups reported depressive symptoms by filling in the Patient Health Questionnaire (PHQ-9). In multivariate analyses adjusted for age and sex, we calculated the odds of being depressed. Results Out of 5818 eligible patients, 69% participated (51% women, mean age = 58 years). We estimated that one in four cancer patients (24%) is depressed (PHQ-9 ≥ 10). The odds of being depressed among cancer patients were more than five times higher than in the general population (OR, 5.4; 95% CI, 4.6–6.2). Patients with pancreatic (M = 8.0, SD = 5.0), thyroid (M = 7.8, SD = 6.3) and brain tumours (M = 7.6, SD = 4.9) showed the highest prevalence, whereas patients with prostate cancer (M = 4.3, SD = 3.8) and malignant melanoma (M = 5.3, SD = 4.3) had the lowest levels of depressive symptoms. Conclusion Our results help clinicians identify cancer patients in need of psychosocial support when navigating in the growing survivor population.
Treatment of head and neck cancer (HNC) often leads to visible and severe functional impairments. In addition, patients often suffer from a variety of psychosocial problems, significantly associated ...with a decreased quality of life. We aimed to compare depression, anxiety, fatigue and quality of life (QoL) between HNC patients and a large sample of the general population in Germany and to examine the impact of sociodemographic, behavioral and clinical factors on these symptoms.
We assessed data of HNC patients during the aftercare consultation at the Leipzig University Medical Center with a patient reported outcome (PRO) tool named "OncoFunction". Depression, anxiety, fatigue and QoL were assessed using validated outcome measures including the PHQ-9, the GAD-2, and the EORTC QLQ-C30 questionnaire.
A total of 817 HNC patients were included in our study and compared to a sample of 5018 individuals of the general German population. HNC patients showed significantly higher levels of impairment in all dimensions assessed. Examination of association between depression, anxiety, fatigue and QoL and clinical as well as sociodemographic variables showed significant relationships between occupational status, ECOG-state, body mass index and time since diagnosis.
HNC patients suffer significantly from psychological distress. The used questionnaires are suitable for the use in daily routine practice and can be helpful to increase the detection of depression, anxiety and fatigue and therefore can improve HNC aftercare.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Abstract Objective Despite a good prognosis, the typically young age at diagnosis and physical sequelae may cause psychological distress in germ cell tumor survivors. We aimed to determine the ...frequency of anxiety and depression and analyze the impact of demographic and disease-related factors. Method We enrolled N = 164 testicular germ cell tumor survivors receiving routine follow-up care at the University Cancer Center Hamburg and a specialized private practice (mean, 11.6 years after diagnosis). Patients completed the Generalized Anxiety Disorder Screener-7, the Patient Health Questionnaire-9 and the Memorial Symptom Assessment Scale-Short Form. Results We found clinically significant anxiety present in 6.1% and depression present in 7.9% of survivors. A higher number of physical symptoms and having children were significantly associated with higher levels of both anxiety and depression in multivariate regression analyses controlling for age at diagnosis, cohabitation, socioeconomic status, time since diagnosis, metastatic disease and relapse. Younger age at diagnosis and shorter time since diagnosis were significantly associated with higher anxiety. Conclusion Although rates of clinically relevant anxiety and depression were comparably low, attention toward persisting physical symptoms and psychosocial needs related to a young age at diagnosis and having children will contribute to address potential long-term psychological distress in germ cell tumor survivors.
Objectives
Demoralization as a form of existential distress involves poor coping, low morale, hopelessness, helplessness, and meaninglessness. In a secondary analysis of a cohort of German cancer ...patients, we aimed to explore latent class structure to assess the contribution that symptoms of demoralization make to anhedonic depression, anxiety, adjustment, and somatic disorders.
Methods
Measures of demoralization, depression, anxiety, physical symptoms, and functional impairment had been completed cross‐sectionally by 1527 patients with early or advanced cancer. Latent class analysis used maximum likelihood techniques to define the unobserved latent constructs that can be predicted as symptom clusters. Individual patients were assigned to the most probable class. Classes were compared on demographics, and logistic regression assessed the odds of individual items predicting each class.
Results
A 4‐class model provided the best fit. Class 1 (n = 829, 54.3%) was defined by the absence of distress; Classes 2 to 4 all carried functional impairment. Class 2 (n = 333, 21.8%) was differentiated by somatic symptoms (sleep, tiredness, and appetite); Class 3 (n = 163, 10.7%) by anhedonia, anxiety, and severe demoralization; and Class 4 (n = 202, 13.2%) by adjustment and moderate demoralization. Members of Class 3 were more likely to be younger, female, anhedonic, depressed, and anxious. In both Classes 3 and 4, functional impairment, physical symptom burden, and suicidal ideation were present.
Conclusions
In contrast with the severe symptom cluster carrying anhedonia, anxiety, and demoralization, the moderate symptom cluster was formed by patients with demoralization and impaired functioning, a clinical picture consistent with a unidimensional model of adjustment disorder.
MEHNERT A., LEHMANN C., GRAEFEN M., HULAND H. & KOCH U. (2010) European Journal of Cancer Care19, 736–745 Depression, anxiety, post‐traumatic stress disorder and health‐related quality of life and ...its association with social support in ambulatory prostate cancer patients
The aim of this study is to identify anxiety, depression and post‐traumatic stress disorder in prostate cancer patients and to investigate the association with social support and health‐related quality of life. A total of 511 men who had undergone prostatectomy were surveyed during ambulatory follow‐up care for an average of 27 months after surgery using standardised self‐report measures (e.g. Hospital Anxiety and Depression Scale, Posttraumatic Stress Disorder Checklist – Civilian Version, Illness‐Specific Social Support Scale, Short‐Form Health Survey). Seventy‐six per cent of patients evaluated their disease as ‘not’ or a ‘little threatening’. The cancer diagnosis and uncertainty were most frequently reported as ‘distressing’, while medical treatment and doctor–patient interaction were most frequently evaluated as ‘most helpful’. The number of patients reporting increased levels of psychological distress was 16%, with 6% demonstrating signs of having severe mental health problems'. No higher levels of anxiety and depression were observed in cancer patients compared with age‐adjusted normative comparison groups. Lack of positive support, detrimental interactions and perceived threat of cancer were found to be predictors of psychological co‐morbidity (P < 0.001). Lack of positive support, detrimental interactions, threat of cancer, disease stage and age significantly predicted mental health (P < 0.001), whereas the impact of social support on physical health was rather weak. Findings emphasise the need for routine psychosocial screening.
This study aims to resolve one of the longest-standing problems in mass spectrometry, which is how to accurately identify an organic substance from its mass spectrum when a spectrum of the suspected ...substance has not been analyzed contemporaneously on the same instrument. Part one of this two-part report describes how Rice–Ramsperger–Kassel–Marcus (RRKM) theory predicts that many branching ratios in replicate electron–ionization mass spectra will provide approximately linear correlations when analysis conditions change within or between instruments. Here, proof-of-concept general linear modeling is based on the 20 most abundant fragments in a database of 128 training spectra of cocaine collected over 6 months in an operational crime laboratory. The statistical validity of the approach is confirmed through both analysis of variance (ANOVA) of the regression models and assessment of the distributions of the residuals of the models. General linear modeling models typically explain more than 90% of the variance in normalized abundances. When the linear models from the training set are applied to 175 additional known positive cocaine spectra from more than 20 different laboratories, the linear models enabled ion abundances to be predicted with an accuracy of <2% relative to the base peak, even though the measured abundances vary by more than 30%. The same models were also applied to 716 known negative spectra, including the diastereomers of cocaine: allococaine, pseudococaine, and pseudoallococaine, and the residual errors were larger for the known negatives than for known positives. The second part of the manuscript describes how general linear regression modeling can serve as the basis for binary classification and reliable identification of cocaine from its diastereomers and all other known negatives.
In different cancer entities, several studies have shown the adverse effects of cancer on mental health, psychological well-being and the increased risk of high emotional distress in cancer patients. ...This study aims to analyze psychosocial distress levels and their relationship between sociodemographic parameters and selected items on the Distress Thermometer (DT) Problem List in head and neck squamous cell carcinoma (HNSCC) patients.
We assessed a total of 120 HNSCC patients using the Distress Thermometer (DT) Problem List. Distress scores (DTS) of 90 patients were available. A DTS of ≥ 5 on the visual analogue scale represents clinically relevant distress. Data analysis consisted of descriptive statistics, comparison of mean values for different DTS subcategories and correlation between DTS scores and parameters of tumor classification, sociodemographic variables and selected problems.
Distress was present in 57.7% of the sample, with a total of 52 patients with a DTS ≥ 5. The mean DTS was 4.7 (SD 2.4). Patients with newly diagnosed HNSCC had significantly higher DTS. Distress levels were significantly associated with sadness, general worries, anxiety, nervousness, sleeping disorders, mouth sores and fever. Out of the total sample, 6 patients and out of these 6 individuals, 5 patients with a DTS ≥ 5 requested referrals to psycho-oncological service.
High distress levels were common in HNSCC patients but only few patients desired psycho-oncological care. Addressing patients' supportive care needs in routine clinical practice is essential to meet unmet needs of HNSCC patients and thus improve cancer care.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Detrital zircon studies can suffer from selective loss of provenance information due to U‐Pb age discordance, metamictization, metamorphic overprinting and fluviatile transport processes. The ...relationship between isotopic composition and zircon grain shape, and how grain shape is modified during transport, is largely unknown. We combine X‐ray tomography with U‐Pb geochronology to quantify how fluvial transport affects 3‐D zircon shape, detrital age signature, and grain density along the Murchison River, whose catchment comprises Eoarchean to Early Paleozoic source rocks in Western Australia. We acquired tomographic volumes and isotopic data from 373 detrital zircons to document changes in size, shape and density in transport direction, and explore how grain shape, age spectra and the proportion of discordant material vary along the channel. Results show that shape characteristics are sensitive to transport distance, stream gradient, proximity to source material, and whether the source consists of primary or recycled zircons. With increasing transport distance, grain lengths decrease more than their widths. Furthermore, the loss of metamict grains occurs at a near constant rate, resulting in a linear increase of mean calculated zircon density by ca. 0.03 g/cm3 per 100 km transport distance. 3‐D grain shape is therefore strongly linked to detrital age signature, and mean grain density is a function of the absolute transport distance. 3‐D shape characteristics provide valuable information on detrital zircon populations, including the interaction between source materials with fluvial transport processes, which significantly affects preservation bias and, by inference, the representativeness of the sampled data.
Key Points
First application of X‐ray tomography to analyze zircon grain shape
3‐D quantification of grain surface roughness and sphericity
3‐D grain shape relates to source proximity, channel gradient and transport distance