Interventions based on self-management of well-being theory:Pooling data to demonstrate mediation and ceiling effects, and to compare formats

Objectives: Interventions based on self-management of well-being (SMW) theory have shown positive effects, but additional questions remain: (1) Are improvements in well-being, as induced by the interventions, mediated by improved self-management ability (SMA)? (2) Do the interventions show ceiling effects? (3) Is a particular format of SMW intervention (individual, group, or self-help) more effective?Method: Data of three randomized controlled trials were pooled. The greater part of the sample (N = 445) consisted of single older females. A bootstrap analysis was performed to test for mediation. Regression analyses with interaction effects were performed to test for ceiling effects. Controlled and transformed effect sizes (proportion of maximum change) were calculated to compare formats.Results: There was a full significant mediation of well-being by SMA. A significant interaction (ceiling) effect was found on well-being, but not on SMA. The controlled effect sizes of the raw scores were small to medium (.04-.49), and were small to large after transformation (.41-.73). None of the intervention formats was more effective.Conclusion: Support for SMW theory was found, i.e. increasing self-management ability lead to improved well-being. Some ceiling effect was found. We conclude that various SMW interventions formats can improve self-management abilities and well-being with medium effects

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

Severe fatigue and related factors in cancer patients before the initiation of treatment

It is generally known that fatigue is a common symptom during cancer treatment, and in cancer survivors. However, fatigue was never studied after diagnosis, before cancer treatment was initiated. This study investigated the prevalence of severe fatigue, and related factors, in cancer patients before the initiation of treatment. One hundred and seventy-nine patients with various malignancies were assessed before start of treatment with curative intention, including the Checklist Individual Strength, Sickness Impact Profile, Beck Depression Inventory Primary Care, Symptom Checklist-90, and six Numeric Rating Scales to measure fatigue, pain and physical activity. To test which factors contributed to severe fatigue a logistic regression analysis was performed. In total 23.5% patients were severely fatigued, varying between diagnoses; prostate cancer (14.3%), breast cancer (20.3%), and gastrointestinal cancer (28.1%). Currently lower physical activity (P=0.013), more depressive mood (P=0.014), impaired sleep and rest during the day and night (P=0.045), and fatigue 1 year before diagnosis (P=0.005) contributed to severe fatigue. Relatively large numbers of cancer patients already experience severe fatigue before initiation of treatment, varying between 14–28%. The factors that contributed to severe fatigue at this stage were physical activity, depressive mood, impaired sleep and rest, and fatigue 1 year before diagnosis

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

Oral Glucose Tolerance Test for the Screening of Glucose Intolerance Long Term Post‐Heart Transplantation

Post-transplant diabetes mellitus (PTDM) is a frequent complication post-heart transplantation (HT), however long-term prevalence studies are missing. The aim of this study was to determine the prevalence and determinants of PTDM as well as prediabetes long-term post-HT using oral glucose tolerance tests (OGTT). Also, the additional value of OGTT compared to fasting glucose and glycated hemoglobin (HbA1c) was investigated. All patients > 1 year post-HT seen at the outpatient clinic between August 2018 and April 2021 were screened with an OGTT. Patients with known diabetes, an active infection/rejection/malignancy or patients unwilling or unable to undergo OGTT were excluded. In total, 263 patients were screened, 108 were excluded. The included 155 patients had a median age of 54.3 [42.2–64.3] years, and 63 (41%) were female. Median time since HT was 8.5 [4.8–14.5] years. Overall, 51 (33%) had a normal range, 85 (55%) had a prediabetes range and 19 (12%) had a PTDM range test. OGTT identified prediabetes and PTDM in more patients (18% and 50%, respectively), than fasting glucose levels and HbA1c. Age at HT (OR 1.03 (1.00–1.06), p = 0.044) was a significant determinant of an abnormal OGTT. Prediabetes as well as PTDM are frequently seen long-term post-HT. OGTT is the preferred screening method