Distress and mental health care and medication use among survivors of multiple primary cancer diagnoses:Findings from the 2016 National Health Interview Survey

Objective: Over 1 million survivors of multiple primary cancer (MPC) diagnoses reside in the USA. Information regarding their physical and mental health status is limited. This study examined distress and mental health care use among MPC survivors relative to survivors of a single primary cancer (SPC) diagnosis. Methods: Using the 2016 National Health Information Survey, MPC survivors (n = 265), SPC survivors (n = 2103), and no cancer controls (NCC; n = 28,320) were identified. The MPC group was compared to the SPC and NCC groups with regard to multiple distress indices and use of mental health care and anxiety and depression medication. Results: Relative to the SPC group, the MPC group reported more Total Distress (M = 9.59 vs. 8.84; p < .001), and were more likely to report daily or weekly anxiety feelings (OR = 2.07; p < .001), meet criteria for serious psychological distress (OR = 1.49; p = .02) and have talked to a mental health professional (OR = 1.75; p = .01). Comparison of MPC and NweCC groups yielded similar results. The MPC group did not differ from the SPC or NCC groups in severity of anxiety or depression feelings, distress interference, or anxiety and depression medication use. Conclusions: MPC survivors reported greater distress relative to SPC survivors. The clinical significance of this greater distress is unclear, however. While MPC survivors were more likely to have talked to a mental health professional, uptake of mental health care appeared to be suboptimal. MPC and SPC survivors might be considered distinct subgroups and increased attention devoted to potentially unique mental and physical health needs of MPC survivors

Psychosocial interventions for reducing fatigue during cancer treatment in adults

BACKGROUND: Fatigue is a common symptom in cancer patients receiving active treatment. There are a limited number of reviews evaluating interventions for fatigue during active treatment, and they are restricted to patients with advanced cancer, or to patients during radiotherapy. To date there is no systematic review on psychosocial interventions for fatigue during cancer treatment.OBJECTIVES: To evaluate if psychosocial interventions are effective in reducing fatigue in cancer patients receiving active treatment for cancer, and which types of psychosocial interventions are the most effective.SEARCH STRATEGY: In September 2008 we searched the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library), PUBMED, MEDLINE, EMBASE, CINAHL and PsycINFO, and checked the reference lists.SELECTION CRITERIA: Randomised controlled trials (RCTs) were included which evaluated psychosocial interventions in adult cancer patients during treatment, with fatigue as an outcome measure.DATA COLLECTION AND ANALYSIS: Three review authors independently extracted data from the selected studies, and assessed the methodological quality using several quality rating scales and additional criteria.MAIN RESULTS: Twenty-seven studies met the inclusion criteria with a total of 3324 participants, and seven studies reported significant effects of the psychosocial intervention on fatigue. In three studies the effect was maintained at follow-up. The quality of the studies was generally moderate. Effect sizes varied between 0.17 to 1.07.The effectiveness of interventions specific for fatigue was significantly higher (80%) compared to interventions not specific for fatigue (14%). In five studies the interventions were specifically focused on fatigue, with four being effective. The five interventions were brief, consisting of three individual sessions, provided by (oncology) nurses. In general, during these interventions participants were educated about fatigue, were taught in self-care or coping techniques, and learned activity management.Of the remaining 22 studies only three were effective in reducing fatigue, and these interventions had a more general approach. These interventions were aimed at psychological distress, mood and physical symptoms, and varied strongly in duration and content.AUTHORS' CONCLUSIONS: There is limited evidence that psychosocial interventions during cancer treatment are effective in reducing fatigue. At present, psychosocial interventions specifically for fatigue are a promising type of intervention. However, there is no solid evidence for the effectiveness of interventions not specific for fatigue. Most aspects of the included studies were heterogeneous, and therefore it could not be established which other types of interventions, or elements were essential in reducing fatigue

Trajectories of fatigue in cancer patients during psychological care

OBJECTIVE: Psycho-oncological institutions offer specialized care for cancer patients. Little is known how this care might impact fatigue. This study aimed to identify fatigue trajectories during psychological care, examined factors distinguishing these trajectories and predicted fatigue severity after nine months of psychological care. DESIGN: Naturalistic, longitudinal study of 238 cancer patients receiving psycho-oncological care in the Netherlands. Data were collected before initiation of psychological care (T1) and three (T2) and nine months (T3) afterwards. Latent class growth analysis, repeated measure analyses (RMA) and linear regression analysis were performed. MAIN OUTCOME MEASURES: Fatigue severity: Checklist Individual Strength. RESULTS: Three fatigue trajectories were identified: high- (30%), moderate- (62%) and low-level fatigue (8%). While statistically significant decreases in fatigue were found, this decrease was not clinically relevant. RMA showed main effects for time for fatigue trajectories on depression, anxiety, personal control and illness cognitions. Fatigue severity and physical symptoms at T1, but not demographic or clinical factors, were predictive of fatigue severity at T3. CONCLUSIONS: Fatigue is very common during psycho-oncological care, and notably not clinically improving. As symptoms of fatigue, depression, anxiety and physical symptoms often cluster, supplementary fatigue treatment should be considered when it is decided to treat other symptoms first

Fatigue and its associated psychosocial factors in cancer patients on active palliative treatment measured over time

PURPOSE: Fatigue is a frequently reported symptom by patients with advanced cancer, but hardly any prospective information is available about fatigue while on treatment in the palliative setting. In a previous cross-sectional study, we found several factors contributing to fatigue in these patients. In this study, we investigated the course of fatigue over time and if psychosocial factors were associated with fatigue over time. METHODS: Patients on cancer treatment for incurable solid tumors were observed over 6 months. Patients filled in the Checklist Individual Strength monthly to measure the course of fatigue. Baseline questionnaires were used to measure disease acceptance, anxiety, depressive mood, fatigue catastrophizing, sleeping problems, discrepancies in social support, and self-reported physical activity for their relation with fatigue over time. RESULTS: At baseline 137 patients and after 6 months 89 patients participated. The mean duration of participation was 4.9 months. At most time points, fatigue scores were significantly higher in the group dropouts in comparison with the group participating 6 months (completers). Overall fatigue levels remained stable over time for the majority of participants. In the completers, 42 % never experienced severe fatigue, 29 % persisted being severely fatigued, and others had either an increasing or decreasing level. Of the investigated factors, low reported physical activity and non-acceptance of cancer were associated significantly to fatigue. CONCLUSION: A substantial number of participants never experienced severe fatigue and fatigue levels remained stable over time. For those who do experience severe fatigue, non-acceptance of having incurable cancer and low self-reported physical activity may be fatigue-perpetuating factors

Study protocol of the TIRED study:A randomised controlled trial comparing either graded exercise therapy for severe fatigue or cognitive behaviour therapy with usual care in patients with incurable cancer

Background: Fatigue is a common and debilitating symptom for patients with incurable cancer receiving systemic treatment with palliative intent. There is evidence that non-pharmacological interventions such as graded exercise therapy (GET) or cognitive behaviour therapy (CBT) reduce cancer-related fatigue in disease-free cancer patients and in patients receiving treatment with curative intent. These interventions may also result in a reduction of fatigue in patients receiving treatment with palliative intent, by improving physical fitness (GET) or changing fatigue-related cognitions and behaviour (CBT). The primary aim of our study is to assess the efficacy of GET or CBT compared to usual care (UC) in reducing fatigue in patients with incurable cancer. Methods: The TIRED study is a multicentre three-armed randomised controlled trial (RCT) for incurable cancer patients receiving systemic treatment with palliative intent. Participants will be randomised to GET, CBT, or UC. In addition to UC, the GET group will participate in a 12-week supervised exercise programme. The CBT group will receive a 12-week CBT intervention in addition to UC. Primary and secondary outcome measures will be assessed at baseline, post-intervention (14 weeks), and at follow-up assessments (18 and 26 weeks post-randomisation). The primary outcome measure is fatigue severity (Checklist Individual Strength subscale fatigue severity). Secondary outcome measures are fatigue (EORTC-QLQ-C30 subscale fatigue), functional impairments (Sickness Impact Profile total score, EORTC-QLQ-C30 subscale emotional functioning, subscale physical functioning) and quality of life (EORTC-QLQ-C30 subscale QoL). Outcomes at 14 weeks (primary endpoint) of either treatment arm will be compared to those of UC participants. In addition, outcomes at 18 and 26 weeks (follow-up assessments) of either treatment arm will be compared to those of UC participants. Discussion: To our knowledge, the TIRED study is the first RCT investigating the efficacy of GET and CBT on reducing fatigue during treatment with palliative intent in incurable cancer patients. The results of this study will provide information about the possibility and efficacy of GET and CBT for severely fatigued incurable cancer patients

Moderators of the effect of psychosocial interventions on fatigue in women with breast cancer and men with prostate cancer:Individual patient data meta-analyses

Objective Psychosocial interventions can reduce cancer-related fatigue effectively. However, it is still unclear if intervention effects differ across subgroups of patients. These meta-analyses aimed at evaluating moderator effects of (a) sociodemographic characteristics, (b) clinical characteristics, (c) baseline levels of fatigue and other symptoms, and (d) intervention-related characteristics on the effect of psychosocial interventions on cancer-related fatigue in patients with non-metastatic breast and prostate cancer. Methods Data were retrieved from the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) consortium. Potential moderators were studied with meta-analyses of pooled individual patient data from 14 randomized controlled trials through linear mixed-effects models with interaction tests. The analyses were conducted separately in patients with breast (n = 1091) and prostate cancer (n = 1008). Results Statistically significant, small overall effects of psychosocial interventions on fatigue were found (breast cancer: beta = -0.19 [95% confidence interval (95%CI) = -0.30; -0.08]; prostate cancer: beta = -0.11 [95%CI = -0.21; -0.00]). In both patient groups, intervention effects did not differ significantly by sociodemographic or clinical characteristics, nor by baseline levels of fatigue or pain. For intervention-related moderators (only tested among women with breast cancer), statistically significant larger effects were found for cognitive behavioral therapy as intervention strategy (beta = -0.27 [95%CI = -0.40; -0.15]), fatigue-specific interventions (beta = -0.48 [95%CI = -0.79; -0.18]), and interventions that only targeted patients with clinically relevant fatigue (beta = -0.85 [95%CI = -1.40; -0.30]). Conclusions Our findings did not provide evidence that any selected demographic or clinical characteristic, or baseline levels of fatigue or pain, moderated effects of psychosocial interventions on fatigue. A specific focus on decreasing fatigue seems beneficial for patients with breast cancer with clinically relevant fatigue

Moderators of Exercise Effects on Cancer-related Fatigue:A Meta-analysis of Individual Patient Data

PURPOSE: Fatigue is a common and potentially disabling symptom in patients with cancer. It can often be effectively reduced by exercise. Yet, effects of exercise interventions might differ across subgroups. We conducted a meta-analysis using individual patient data of randomized controlled trials (RCT) to investigate moderators of exercise intervention effects on cancer-related fatigue. METHODS: We used individual patient data from 31 exercise RCT worldwide, representing 4366 patients, of whom 3846 had complete fatigue data. We performed a one-step individual patient data meta-analysis, using linear mixed-effect models to analyze the effects of exercise interventions on fatigue (z score) and to identify demographic, clinical, intervention- and exercise-related moderators. Models were adjusted for baseline fatigue and included a random intercept on study level to account for clustering of patients within studies. We identified potential moderators by testing their interaction with group allocation, using a likelihood ratio test. RESULTS: Exercise interventions had statistically significant beneficial effects on fatigue (β = -0.17; 95% confidence interval [CI], -0.22 to -0.12). There was no evidence of moderation by demographic or clinical characteristics. Supervised exercise interventions had significantly larger effects on fatigue than unsupervised exercise interventions (βdifference = -0.18; 95% CI -0.28 to -0.08). Supervised interventions with a duration ≤12 wk showed larger effects on fatigue (β = -0.29; 95% CI, -0.39 to -0.20) than supervised interventions with a longer duration. CONCLUSIONS: In this individual patient data meta-analysis, we found statistically significant beneficial effects of exercise interventions on fatigue, irrespective of demographic and clinical characteristics. These findings support a role for exercise, preferably supervised exercise interventions, in clinical practice. Reasons for differential effects in duration require further exploration

Dropout from exercise trials among cancer survivors—An individual patient data meta-analysis from the POLARIS study

Introduction: The number of randomized controlled trials (RCTs) investigating the effects of exercise among cancer survivors has increased in recent years; however, participants dropping out of the trials are rarely described. The objective of the present study was to assess which combinations of participant and exercise program characteristics were associated with dropout from the exercise arms of RCTs among cancer survivors. Methods: This study used data collected in the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) study, an international database of RCTs investigating the effects of exercise among cancer survivors. Thirty-four exercise trials, with a total of 2467 patients without metastatic disease randomized to an exercise arm were included. Harmonized studies included a pre and a posttest, and participants were classified as dropouts when missing all assessments at the post-intervention test. Subgroups were identified with a conditional inference tree. Results: Overall, 9.6% of the participants dropped out. Five subgroups were identified in the conditional inference tree based on four significant associations with dropout. Most dropout was observed for participants with BMI &gt;28.4 kg/m2, performing supervised resistance or unsupervised mixed exercise (19.8% dropout) or had low-medium education and performed aerobic or supervised mixed exercise (13.5%). The lowest dropout was found for participants with BMI &gt;28.4 kg/m2 and high education performing aerobic or supervised mixed exercise (5.1%), and participants with BMI ≤28.4 kg/m2 exercising during (5.2%) or post (9.5%) treatment. Conclusions: There are several systematic differences between cancer survivors completing and dropping out from exercise trials, possibly affecting the external validity of exercise effects.</p

Effects and moderators of psychosocial interventions on quality of life, and emotional and social function in patients with cancer : an individual patient data meta-analysis of 21 RCTs

Objective: This individual patient data (IPD) meta‐analysis aimed to evaluate the effects of psychosocial interventions (PSI) on quality of life (QoL), emotional function (EF), and social function (SF) in patients with cancer, and to study moderator effects of demographic, clinical, personal, and intervention‐related characteristics. Methods: Relevant studies were identified via literature searches in 4 databases. We pooled IPD from 22 (n = 4217) of 61 eligible randomized controlled trials. Linear mixed‐effect model analyses were used to study intervention effects on the post‐intervention values of QoL, EF, and SF (z‐scores), adjusting for baseline values, age, and cancer type. We studied moderator effects by testing interactions with the intervention for demographic, clinical, personal, and intervention‐related characteristics, and conducted subsequent stratified analyses for significant moderator variables.Results: PSI significantly improved QoL (β = 0.14,95%CI = 0.06;0.21), EF (β = 0.13,95%CI = 0.05;0.20), and SF (β = 0.10,95%CI = 0.03;0.18). Significant differences in effects of different types of PSI were found, with largest effects of psychotherapy. The effects of coping skills training were moderated by age, treatment type, and targeted interventions. Effects of psychotherapy on EF may be moderated by cancer type, but these analyses were based on 2 randomized controlled trials with small sample sizes of some cancer types. Conclusions: PSI significantly improved QoL, EF, and SF, with small overall effects. However, the effects differed by several demographic, clinical, personal, and intervention‐related characteristics. Our study highlights the beneficial effects of coping skills training in patients treated with chemotherapy, the importance of targeted interventions, and the need of developing interventions tailored to the specific needs of elderly patients

Targeting exercise interventions to patients with cancer in need:An individual patient data meta-analysis

Background: Exercise effects in cancer patients often appear modest, possibly because interventions rarely target patients most in need. This study investigated the moderator effects of baseline values on the exercise outcomes of fatigue, aerobic fitness, muscle strength, quality of life (QoL), and self-reported physical function (PF) in cancer patients during and post-treatment. Methods: Individual patient data from 34 randomized exercise trials (n = 4519) were pooled. Linear mixed-effect models were used to study moderator effects of baseline values on exercise intervention outcomes and to determine whether these moderator effects differed by intervention timing (during vs post-treatment). All statistical tests were two-sided. Results: Moderator effects of baseline fatigue and PF were consistent across intervention timing, with greater effects in patients with worse fatigue (Pinteraction = .05) and worse PF (Pinteraction = .003). Moderator effects of baseline aerobic fitness, muscle strength, and QoL differed by intervention timing. During treatment, effects on aerobic fitness were greater for patients with better baseline aerobic fitness (Pinteraction = .002). Post-treatment, effects on upper (Pinteraction &lt; .001) and lower (Pinteraction = .01) body muscle strength and QoL (Pinteraction &lt; .001) were greater in patients with worse baseline values. Conclusion: Although exercise should be encouraged for most cancer patients during and post-treatments, targeting specific subgroups may be especially beneficial and cost effective. For fatigue and PF, interventions during and post-treatment should target patients with high fatigue and low PF. During treatment, patients experience benefit for muscle strength and QoL regardless of baseline values; however, only patients with low baseline values benefit post-treatment. For aerobic fitness, patients with low baseline values do not appear to benefit from exercise during treatment