Effects of a combined exercise and dietary intervention on body composition, physical functioning and fatigue in patients with ovarian cancer: results of the PADOVA trial.

BACKGROUND: Guidelines recommend to include exercise and dietary advice in standard care for patients with cancer, based on evidence primarily derived from patients with breast cancer. Its applicability to patients with ovarian cancer is uncertain due to differences in patient characteristics and treatments. The PADOVA trial examined the effectiveness of a combined exercise and dietary intervention on fat-free mass (FFM), physical functioning, and fatigue. METHODS: In total, 81 patients with ovarian cancer were randomised to the exercise and dietary intervention (n = 40) or control (n = 41) group. Measurements were performed before chemotherapy, after chemotherapy, and 12 weeks later. FFM was assessed by bioelectrical impedance analysis, and physical functioning and fatigue were assessed using questionnaires. Intervention effects were assessed on an intention-to-treat basis using linear mixed models. RESULTS: FFM and physical functioning increased, and fatigue decreased significantly over time in both groups. No significant difference between the groups were found for FFM (ß = -0.5 kg; 95% CI = -3.2; 2.1), physical functioning (ß = 1.4; 95% CI = -5.4; 8.3) and fatigue (ß = 0.7; 95% CI = -1.5; 2.8). CONCLUSIONS: During treatment, both groups improved in FFM, physical functioning, and fatigue. The intervention group, however, did not demonstrate additional benefits compared to the control group. This highlights the need for caution when extrapolating findings from different cancer populations to patients with ovarian cancer.

Demographic, clinical, and sociocognitive determinants related to physical activity and dietary intake in patients with ovarian cancer: A cross-sectional study.

OBJECTIVE: To study physical activity and dietary intake among patients with ovarian cancer and to examine which demographic, clinical, and sociocognitive determinants are associated with these behaviours. METHODS: This cross-sectional study included 139 patients with ovarian cancer scheduled for (neo)adjuvant chemotherapy. Physical activity was measured with the Physical Activity Scale for the Elderly questionnaire (PASE). Dietary intake was measured with a questionnaire assessing energy and protein intake and a questionnaire assessing adherence to the World Cancer Research Fund (WCRF) lifestyle recommendations. Demographic, clinical, and sociocognitive (e.g., self-efficacy) determinants of physical activity and dietary intake were examined using backward linear regression analyses. RESULTS: Patients reported a median PASE score of 50 (IQR 24-94), a mean ± SD dietary intake of 1831 ± 604 kcal/day and 76 ± 27 g protein/day. Patients adhered to 3 out of 5 WCRF lifestyle recommendations. The absence of comorbidities, lower physical outcome expectations, and higher cancer specific outcome expectations were independently associated with higher physical activity levels. Higher age, lower cancer specific outcome expectations, and higher diet-related self-efficacy were significantly associated with adhering to more WCRF lifestyle recommendations, whilst no variables associated with total caloric or protein intake were identified. CONCLUSIONS: Patients with ovarian cancer have low physical activity levels and a suboptimal diet, particularly low fruit and vegetable consumption and dietary fibre intake. Interventions aiming to improve physical activity and dietary intake could focus on increasing self-efficacy and outcome expectations, and should consider age and comorbidity as factors that may impact behaviour. TRIAL REGISTRATION: Netherlands Trial Registry NTR6300.

Decline in Smartphone-Assessed Physical Activity Level is Associated With Clinical Outcomes in Phase I/II Clinical Cancer Trials.

BACKGROUND: A decline in physical function may be an early predictor for complications of cancer treatment. This study examined whether repeated objective smartphone measurements of physical activity and exercise capacity in patients with cancer are feasible during early-phase clinical trials (EPCTs) and whether a decline in physical function is associated with clinical outcomes. METHODS: Physical activity (steps/day) and exercise capacity (6-minute walk test [6MWT]) were measured with a smartphone before EPCT start (T0) and after 4 weeks (T1) and 8 weeks (T2). Univariable logistic regression analyzed associations between a decline in step count (≥20%), 6MWT distance (≥10%), or deterioration of ECOG performance status (PS) and trial discontinuation at 8 weeks and 90 days. Cox proportional hazards models were used to examine associations with progression-free survival (PFS) and overall survival (OS), adjusting for trial phase (I vs II), cancer type (hematologic malignancy vs solid tumor), and PS (0 vs ≥1). RESULTS: Among 117 included patients, valid step count and 6MWT measurements were available for 96.6% and 76.7% of patients at T0, 74.4% and 53.3% at T1, and 89.7% and 54.4% at T2, respectively. Patients experiencing step count decline between T0 and T1 had higher odds of trial discontinuation at 8 weeks (odds ratio, 8.67; 95% CI, 1.94-61.43), and decline between T1 and T2 was associated with discontinuation at 90 days (odds ratio, 5.20; 95% CI, 1.43-21.14). Step count decline was significantly associated with shorter PFS (hazard ratio, 3.54; 95% CI, 2.06-6.08) and OS (hazard ratio, 2.31; 95% CI, 1.26-4.23). Declines in 6MWT distance or deterioration in ECOG PS were not associated with trial discontinuation or survival. CONCLUSIONS: Repeated smartphone measurements of physical activity are feasible in patients participating in EPCTs. Additionally, physical activity decline is significantly associated with trial discontinuation, PFS, and OS. Hence, we envision that objective smartphone measurements of physical activity will contribute to optimal treatment development for patients with cancer.

Longitudinal associations of diurnal rest-activity rhythms with fatigue, insomnia, and health-related quality of life in survivors of colorectal cancer up to 5 years post-treatment.

BACKGROUND: There is a growing population of survivors of colorectal cancer (CRC). Fatigue and insomnia are common symptoms after CRC, negatively influencing health-related quality of life (HRQoL). Besides increasing physical activity and decreasing sedentary behavior, the timing and patterns of physical activity and rest over the 24-h day (i.e. diurnal rest-activity rhythms) could also play a role in alleviating these symptoms and improving HRQoL. We investigated longitudinal associations of the diurnal rest-activity rhythm (RAR) with fatigue, insomnia, and HRQoL in survivors of CRC. METHODS: In a prospective cohort study among survivors of stage I-III CRC, 5 repeated measurements were performed from 6 weeks up to 5 years post-treatment. Parameters of RAR, including mesor, amplitude, acrophase, circadian quotient, dichotomy index, and 24-h autocorrelation coefficient, were assessed by a custom MATLAB program using data from tri-axial accelerometers worn on the upper thigh for 7 consecutive days. Fatigue, insomnia, and HRQoL were measured by validated questionnaires. Confounder-adjusted linear mixed models were applied to analyze longitudinal associations of RAR with fatigue, insomnia, and HRQoL from 6 weeks until 5 years post-treatment. Additionally, intra-individual and inter-individual associations over time were separated. RESULTS: Data were available from 289 survivors of CRC. All RAR parameters except for 24-h autocorrelation increased from 6 weeks to 6 months post-treatment, after which they remained relatively stable. A higher mesor, amplitude, circadian quotient, dichotomy index, and 24-h autocorrelation were statistically significantly associated with less fatigue and better HRQoL over time. A higher amplitude and circadian quotient were associated with lower insomnia. Most of these associations appeared driven by both within-person changes over time and between-person differences in RAR parameters. No significant associations were observed for acrophase. CONCLUSIONS: In the first five years after CRC treatment, adhering to a generally more active (mesor) and consistent (24-h autocorrelation) RAR, with a pronounced peak activity (amplitude) and a marked difference between daytime and nighttime activity (dichotomy index) was found to be associated with lower fatigue, lower insomnia, and a better HRQoL. Future intervention studies are needed to investigate if restoring RAR among survivors of CRC could help to alleviate symptoms of fatigue and insomnia while enhancing their HRQoL. TRIAL REGISTRATION: EnCoRe study NL6904 ( https://www.onderzoekmetmensen.nl/ ).

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 >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 >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.

Health-Related Quality of Life in Patients With Metastatic Colorectal Cancer Undergoing Systemic Therapy With or Without Maximal Tumor Debulking.

BACKGROUND: Maintaining a sufficient health-related quality of life (HRQoL) is important in the palliative treatment of patients with metastatic colorectal cancer (mCRC). The ORCHESTRA trial (ClinicalTrials.gov identifier: NCT01792934) is designed to prospectively evaluate overall survival benefit and impact on HRQoL of tumor debulking when added to first-line palliative systemic therapy in patients with multiorgan mCRC. In the present study, we report the HRQoL associated with this combination treatment compared with standard systemic therapy. METHODS: Patients included in the ORCHESTRA trial with clinical benefit after 3 or 4 cycles of first-line palliative systemic therapy with fluoropyrimidines and oxaliplatin with or without bevacizumab were randomly assigned to maximal tumor debulking followed by systemic therapy versus systemic therapy alone. Patients completed the EORTC Quality of Life Questionnaire-Core 30 and the Multidimensional Fatigue Inventory questionnaire at prespecified time points during treatment. Between-group differences in HRQoL over time were evaluated with linear mixed model analyses. A pattern mixture approach was applied to correct for missing questionnaires due to progressive disease. RESULTS: A total of 300 patients were randomized to the intervention arm (n=148) or the standard arm (n=152). No statistically significant or clinically relevant differences in HRQoL and fatigue were observed when tumor debulking was added to systemic therapy. In patients of both study arms, HRQoL after 1 year of treatment was not significantly different from HRQoL at the time of randomization. Patients in the intervention arm experienced serious adverse events (SAEs) twice as often as patients in the standard arm (P≤.001). CONCLUSIONS: Maximal tumor debulking in combination with palliative systemic therapy in patients with multiorgan mCRC was significantly associated with more SAEs resulting from local therapy but no difference in HRQoL compared with palliative systemic therapy alone. There is a remarkable lack of association between the occurrence of SAEs and impact on HRQoL.

Exercise and the gut microbiome: implications for supportive care in cancer.

PURPOSE: Growing recognition of the gut microbiome as an influential modulator of cancer treatment efficacy and toxicity has led to the emergence of clinical interventions targeting the microbiome to enhance cancer and health outcomes. The highly modifiable nature of microbiota to endogenous, exogenous, and environmental inputs enables interventions to promote resilience of the gut microbiome that have rapid effects on host health, or response to cancer treatment. While diet, probiotics, and faecal microbiota transplant are primary avenues of therapy focused on restoring or protecting gut function in people undergoing cancer treatment, the role of physical activity and exercise has scarcely been examined in this population. METHODS: A narrative review was conducted to explore the nexus between cancer care and the gut microbiome in the context of physical activity and exercise as a widely available and clinically effective supportive care strategy used by cancer survivors. RESULTS: Exercise can facilitate a more diverse gut microbiome and functional metabolome in humans; however, most physical activity and exercise studies have been conducted in healthy or athletic populations, primarily using aerobic exercise modalities. A scarcity of exercise and microbiome studies in cancer exists. CONCLUSIONS: Exercise remains an attractive avenue to promote microbiome health in cancer survivors. Future research should elucidate the various influences of exercise modalities, intensities, frequencies, durations, and volumes to explore dose-response relationships between exercise and the gut microbiome among cancer survivors, as well as multifaceted approaches (such as diet and probiotics), and examine the influences of exercise on the gut microbiome and associated symptom burden prior to, during, and following cancer treatment.

The course of health-related quality of life in the first 2 years after a diagnosis of head and neck cancer: the role of personal, clinical, psychological, physical, social, lifestyle, disease-related, and biological factors.

PURPOSE: The aim of this prospective cohort study was to estimate the relationship between the course of HRQOL in the first 2 years after diagnosis and treatment of head and neck cancer (HNC) and personal, clinical, psychological, physical, social, lifestyle, HNC-related, and biological factors. METHODS: Data were used from 638 HNC patients of the NETherlands QUality of life and BIomedical Cohort study (NET-QUBIC). Linear mixed models were used to investigate factors associated with the course of HRQOL (EORTC QLQ-C30 global quality of life (QL) and summary score (SumSc)) from baseline to 3, 6, 12, and 24 months after treatment. RESULTS: Baseline depressive symptoms, social contacts, and oral pain were significantly associated with the course of QL from baseline to 24 months. Tumor subsite and baseline social eating, stress (hyperarousal), coughing, feeling ill, and IL-10 were associated with the course of SumSc. Post-treatment social contacts and stress (avoidance) were significantly associated with the course of QL from 6 to 24 months, and social contacts and weight loss with the course of SumSc. The course of SumSc from 6 to 24 months was also significantly associated with a change in financial problems, speech problems, weight loss, and shoulder problems between baseline and 6 months. CONCLUSION: Baseline clinical, psychological, social, lifestyle, HNC-related, and biological factors are associated with the course of HRQOL from baseline to 24 months after treatment. Post-treatment social, lifestyle, and HNC-related factors are associated with the course of HRQOL from 6 to 24 months after treatment.

Self-performed Five Times Sit-To-Stand test at home as (pre-)screening tool for frailty in cancer survivors: Reliability and agreement assessment.

AIMS AND OBJECTIVES: The self-performance of a Five-Times-Sit-To-Stand (FTSTS)-test, without the usual supervision by a medical professional, provides valuable opportunities for clinical practice and research. This study aimed: (1) to determine the validity of the self-performed FTSTS test in comparison to a supervised reference test and (2) to determine the reliability of a self-performed FTSTS test by cancer survivors. BACKGROUND: Early detection of frailty in cancer survivors may enable prehabilitation interventions before surgery or intensive treatment, improving cancer outcomes. DESIGN: A repeated measures reliability and agreement study, with one week in between measures, was performed. METHODS: Cancer survivors (n = 151) performed two FTSTS tests themselves. One additional reference FTSTS test was supervised by a physical therapist. The intraclass correlation coefficient (ICC), structural error of measurement (SEM) and minimally important clinical difference (MID) were calculated comparing a self-performed FTSTS test to the reference test, and comparing two self-performed FTSTS tests. The Guidelines for Reporting Reliability and Agreement Studies (GRASS) have been used. RESULTS: Mean age of cancer survivors was 65.6 years (SD = 9.3), 54.6% were female, median time since diagnosis was 2 years [IQR = 1], and tumour type varied (e.g., breast cancer (31.8%), prostate cancer (17.2%), gastrointestinal cancer (11.9%) and haematological cancer (11.9%)). Validity of the self-performed FTSTS test at home was acceptable in comparison with the reference test (ICC = .74; SEM = 3.2; MID = 3.6) as was the reliability of the self-performed FTSTS test (ICC = .70; SEM = 2.2; MID = 3.8). CONCLUSIONS: The self-performed FTSTS test is a valid and reliable measure to assess lower body function and has potential to be used as objective (pre-)screening tool for frailty in cancer survivors. RELEVANCE TO CLINICAL PRACTICE: The self-performed FTSTS test at home may indicate the cancer survivors in need of prehabilitation in advance of surgery or intensive treatment. The feasibility, short amount of time needed and potential cost-effectiveness of the self-performed FTSTS test can make it a valuable contribution to personalised care and precision medicine.

Construct Validity of the Steep Ramp Test for Assessing Cardiorespiratory Fitness in Patients With Breast Cancer and the Effect of Chemotherapy-Related Symptom Burden.

OBJECTIVE: To investigate the construct validity of the Steep Ramp Test (SRT) by longitudinally comparing the correlation between maximum short exercise capacity of the SRT and direct measurements of peak oxygen consumption (Vo2peak) during or shortly after treatment in patients with breast cancer and the potential effect of chemotherapy-induced symptom burden. DESIGN: Cross-sectional. SETTING: Multicenter. PARTICIPANTS: We used data from 2 studies that included women with breast cancer treated with chemotherapy, resulting in 274 observations. A total of 161 patients (N=161) performed the cardiopulmonary exercise test and the SRT in 2 test sessions on different time points around chemotherapy treatment. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Fatigue was assessed with the Multidimensional Fatigue Inventory, and nausea and vomiting and pain by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30. The longitudinal correlation between the maximum short exercise capacity and Vo2peak was investigated using a linear mixed model. Interaction terms were added to the model to investigate whether the correlation varied by symptom burden. RESULTS: We found a statistically significant moderate correlation between Vo2peak and maximum short exercise capacity (0.61; 95% confidence interval, 0.51-0.70; P<.01) over time. This correlation was slightly attenuated (-0.07; 95% confidence interval, -0.13 to 0.00; P=.04) in patients with chemotherapy-related nausea and vomiting, indicating smaller correlations of Vo2peak with the maximum short exercise capacity with increasing symptom burden. Pain and fatigue did not significantly modify the correlation. CONCLUSIONS: The SRT can only be used as a proxy for changes in aerobic capacity with great caution and with attention for the level of nausea and vomiting.

Systematic adaptation of the adherence improving self-management strategy to support breast cancer survivors' adherence to adjuvant endocrine therapy: An intervention mapping approach.

OBJECTIVE: Non-adherence to adjuvant endocrine therapy (AET) for breast cancer leads to increased recurrence and mortality risk and healthcare costs. Evidence on feasible, effective AET adherence interventions is scarce. This paper describes the systematic adaptation of the cost-effective adherence improving self-management strategy (AIMS) for patients with HIV to AET for women after breast cancer treatment. METHODS: We followed the intervention mapping protocol for adapting interventions by conducting a needs assessment, reviewing target behaviours and determinants, reassessing behaviour change methods and adapting programme content. Therefore, we performed a literature review, consulted behavioural theory and organised nine advisory board meetings with patients and healthcare professionals. RESULTS: Non-adherence occurs frequently among AET users. Compared to HIV treatment, AET is less effective, and AET side effects are more burdensome. This drives AET treatment discontinuation. However, the key determinants of non-adherence are largely similar to HIV treatment (e.g. motivation, self-regulation and patient-provider relationship); therefore, most strategies in AIMS-HIV also seem suitable for AIMS-AET. Modifications were required, however, regarding supporting patients with coping with side effects and sustaining treatment motivation. CONCLUSION: AIMS seems to be a suitable framework for adherence self-management across conditions and treatments. Intervention mapping offered a transparent, systematic approach to adapting AIMS-HIV to AET.

Impact of Dutch COVID-19 restrictive policy measures on physical activity behavior and identification of correlates of physical activity changes: a cohort study.

BACKGROUND: Identification of characteristics of individuals that are related to decreases in physical activity (PA) levels during lockdown is needed to develop targeted-interventions. This study aims to evaluate changes in domain-specific (i.e. leisure time, transportation, occupational, and household) and total PA due to the Dutch COVID-19 lockdown, which started on March 15 2020. Furthermore, we aim to identify demographic, health-related, and psychological correlates of these changes. METHODS: Individuals who participated in the Nijmegen Exercise Study during 2017-2019 were invited to this study, which was conducted between April 16 and May 12 2020. Participant characteristics (i.e. age, sex, body mass index (BMI), marital status, education, household composition, and occupation status), living environment (i.e. housing type and degree of urbanization), psychological characteristics (i.e. resilience, outcome expectations, vitality, and mental health), and medical history were collected via an online questionnaire. Short Questionnaire to Assess Health-enhancing physical activity was used to assess PA behavior before and during lockdown. Wilcoxon signed-rank test was used to compare PA levels, in metabolic equivalent of task (MET)-minutes per week (min/wk), before and during lockdown. Multivariable linear regression analyses were performed to examine correlates of PA changes. RESULTS: 4033 participants (57% male; 59 ± 13 years) were included. PA decreased significantly during lockdown with mean ± SD changes of 393 ± 2735 MET-min/wk for total, 133 ± 785 MET-min/wk for transportation, 137 ± 1469 MET-min/wk for occupation, and 136 ± 1942 MET-min/wk for leisure time PA. Household PA did not change significantly. Unemployment, COVID-19-related occupational changes, higher BMI, and living in an apartment or semi-detached/terraced house were significantly related to larger decreases in total and domain-specific PA. Higher vitality was related to smaller decreases in total and domain-specific PA. Higher age was significantly associated with a larger decrease in leisure time PA. Lower education was associated with smaller decreases in transportation and occupational PA compared to higher education. CONCLUSION: PA levels significantly reduced during lockdown compared to before lockdown. Declines were observed during transportation and occupation, but were not compensated by an increase in leisure time PA. We identified subgroups that were more susceptible to reductions in domain-specific or total PA levels and should therefore be encouraged to increase their PA levels during lockdown.

Impact of a COVID-19 infection on exercise levels of recreational athletes one- and three-months post-infection.

We examined the effect of a COVID-19 infection on changes in exercise levels in recreational athletes in the first three months after infection, and identified personal factors associated with a larger change in exercise level and recovery time. Recreational athletes (n=4360) completed an online questionnaire on health and exercise levels. 601 Athletes have had a diagnostically confirmed COVID-19 infection, while 3479 athletes did not (non-COVID-19 group). Exercise levels (in MET-min/week) were examined prior to (2019) and during the COVID-19 pandemic (2020) for the non-COVID-19 group, and in 2019, 1-month pre-COVID-19 infection, 1-month post-COVID-19 infection and 3 months post-COVID-19 infection in the COVID-19 group. Median exercise level at baseline in the COVID-19 group was 3528 (IQR=1488-5760) MET-min/week. One-month post-COVID-19 infection, exercise level dropped 58% (2038 MET-min/week), which partly stabilized to 36% (1256 MET-min/week) below baseline values 3 months post-COVID-19 infection. Moreover, in both the COVID-19 (pre-COVID-19 infection) and non-COVID-19 group exercise levels during the pandemic decreased with ~260 MET-min/week. These results illustrate that even a relatively physically active population of recreational athletes is significantly affected by a COVID-19 infection, particularly those athletes who are overweight. COVID-19 disease burden, age, sex, comorbidities and smoking were not associated with reduced exercise levels.

The association between wearable activity monitor metrics and performance status in oncology: a systematic review.

PURPOSE: The expanding armamentarium of wearable activity monitors (WAMs) offers new opportunities to supplement physician-assessed performance status (PS) with real-life patient activity data. These data could guide clinical decision making or serve as a measure of treatment outcome. However, information on the association between physical activity (PA) and sedentary behavior (SB) monitored with wearables (i.e., WAM metrics) and PS in patients with cancer is needed. Therefore, we conducted a systematic review to examine the association between WAM metrics and PS in patients with cancer. METHODS: We searched MEDLINE and Embase for studies that assessed the association between WAM metrics and performance status among adults with cancer. We extracted information on study design and population, WAM type and different activity metrics, outcome definitions, and results. Included studies were subjected to risk of bias assessment and subsequent best evidence synthesis. RESULTS: Fourteen studies were included in this review. All studies reported on different combinations of WAM metrics including: daily steps (n = 8), SB (n = 5), mean activity counts (n = 4), dichotomous circadian rest-activity index (n = 3), and time spent in moderate-to-vigorous PA (MVPA) (n = 3). Much heterogeneity was observed regarding study population, WAM used, and reporting of results. We found moderate evidence for a positive weak-to-moderate association between WAM-assessed PA and PS and a weak-to-moderate negative association between WAM-assessed SB metrics and PS. CONCLUSION: Weak-to-moderate associations between WAM metrics and PS suggest that WAM data and physician-assessed PS cannot be used interchangeably. Instead, WAM data could serve as a dynamic and objective supplement measurement of patients' physical performance.

Smartphone measurements of physical activity and fitness are associated with early trial discontinuation of patients in (hemato)oncology phase I/II clinical trials.

BACKGROUND: Patients, who discontinue early, do not benefit from phase I/II clinical trials (early-phase clinical trials (EPCT)). In this study, associations between objective smartphone measurements of physical activity and fitness and early trial discontinuation in patients with cancer participating in EPCT were investigated. METHODS: Before start of treatment, physical activity (steps/day) and physical fitness (meters walked in 6 min) were measured with a smartphone, and patient-reported physical function (PRO-PF) was assessed (EORTC QLQ-C30-PF). Early trial discontinuation was defined as discontinuation ≤ 28 days. Univariable logistic regression analyses were performed to study associations of physical activity, fitness, and function with early trial discontinuation. Optimal cutoff values of physical activity and fitness were assessed with ROCs, based on positive predictive values (PPV). RESULTS: Median (interquartile range (IQR)) step count was 4263 (2548-6897) steps/day, mean ± standard deviation 6-min walking distance was 477 ± 120 m and median (IQR) PRO-PF score was 83 (67-95) points. Fourteen patients (12%) discontinued the trial early. Smartphone measurements of physical activity in units of 100 steps per day (odds ratio (OR) = 0.96, 95% CI = 0.94-0.99, p = 0.01), physical fitness (OR = 0.99, 95% CI = 0.98-0.99, p < 0.01), and PRO-PF (OR = 0.97, 95% CI = 0.94-1.00, p = 0.03) were associated with early trial discontinuation. Optimal cutoff values were < 900 steps for physical activity and < 285 m for physical fitness. PPV for early trial discontinuation was 100% in patients who walked both < 1500 steps per day and < 300 m in 6 min. CONCLUSIONS: Objective smartphone measurements of physical activity and fitness are associated with early trial discontinuation. However, cutoff values should be externally validated in a larger cohort before implementation in clinical practice.

Towards OPtimal TIming and Method for promoting sUstained adherence to lifestyle and body weight recommendations in postMenopausal breast cancer survivors (the OPTIMUM-study): protocol for a longitudinal mixed-method study.

BACKGROUND: The majority of postmenopausal breast cancer (PMBC) survivors do not adhere to lifestyle recommendations and have excess body weight. In this group, this is associated with poorer health-related quality of life and an increased risk of type II diabetes mellitus, cardiovascular disease, second primary cancers, cancer recurrences, and mortality. Gaining and maintaining a healthy lifestyle and body composition is therefore important. It is unknown when and how sustained adherence to these recommendations can be promoted optimally in PMBC survivors. Therefore, the OPTIMUM study aims to identify the optimal timing and method for promoting sustained adherence to lifestyle and body weight recommendations in PMBC survivors. METHODS: The OPTIMUM-study has a mixed-methods design. To assess optimal timing, a longitudinal observational study will be conducted among approximately 1000 PMBC survivors. The primary outcomes are adherence to lifestyle and body weight recommendations, readiness for change, and need for support. Questionnaires will be administered at 4-6 months after cancer diagnosis (wave 1: during treatment and retrospectively before diagnosis), 1 year after diagnosis (wave 2: after completion of initial treatment), and 1.5 years after diagnosis (wave 3: during follow-up). Wave 2 and 3 include blood sampling, and either wearing an accelerometer for 7 days or completing a 3-day online food diary (randomly assigned at hospital level). To assess the optimal method, behavioural determinants of the primary outcomes will be matched with Behavior Change Techniques using the Behaviour Change Technique Taxonomy. Qualitative research methods will be used to explore perceptions, needs and preferences of PMBC survivors (semi-structured interviews, focus groups) and health care providers (Delphi study). Topics include perceptions on optimal timing to promote adherence; facilitators and motivators of, and barriers towards (sustained) adherence to recommendations; and acceptability of the selected methods. DISCUSSION: The OPTIMUM study aims to gain scientific knowledge on when and how to promote sustained adherence to lifestyle and body weight recommendations among PBMC survivors. This knowledge can be incorporated into guidelines for tailored promotion in clinical practice to improve health outcomes.

Does exercise intensity matter for fatigue during (neo-)adjuvant cancer treatment? The Phys-Can randomized clinical trial.

Exercise during cancer treatment improves cancer-related fatigue (CRF), but the importance of exercise intensity for CRF is unclear. We compared the effects of high- vs low-to-moderate-intensity exercise with or without additional behavior change support (BCS) on CRF in patients undergoing (neo-)adjuvant cancer treatment. This was a multicenter, 2x2 factorial design randomized controlled trial (Clinical Trials NCT02473003) in Sweden. Participants recently diagnosed with breast (n = 457), prostate (n = 97) or colorectal (n = 23) cancer undergoing (neo-)adjuvant treatment were randomized to high intensity (n = 144), low-to-moderate intensity (n = 144), high intensity with BCS (n = 144) or low-to-moderate intensity with BCS (n = 145). The 6-month exercise intervention included supervised resistance training and home-based endurance training. CRF was assessed by Multidimensional Fatigue Inventory (MFI, five subscales score range 4-20), and Functional Assessment of Chronic Illness Therapy-Fatigue scale (FACIT-F, score range 0-52). Multiple linear regression for main factorial effects was performed according to intention-to-treat, with post-intervention CRF as primary endpoint. Overall, 577 participants (mean age 58.7 years) were randomized. Participants randomized to high- vs low-to-moderate-intensity exercise had lower physical fatigue (MFI Physical Fatigue subscale; mean difference -1.05 [95% CI: -1.85, -0.25]), but the difference was not clinically important (ie <2). We found no differences in other CRF dimensions and no effect of additional BCS. There were few minor adverse events. For CRF, patients undergoing (neo-)adjuvant treatment for breast, prostate or colorectal cancer can safely exercise at high- or low-to-moderate intensity, according to their own preferences. Additional BCS does not provide extra benefit for CRF in supervised, well-controlled exercise interventions.

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: ß = -0.19 [95% confidence interval (95%CI) = -0.30; -0.08]; prostate cancer: ß = -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 (ß = -0.27 [95%CI = -0.40; -0.15]), fatigue-specific interventions (ß = -0.48 [95%CI = -0.79; -0.18]), and interventions that only targeted patients with clinically relevant fatigue (ß = -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.

Adherence to and satisfaction with low-intensity physical activity and supervised moderate-high intensity exercise during chemotherapy for breast cancer.

PURPOSE: In this study, we investigated factors associated with program adherence and patient satisfaction with a home-based physical activity program (Onco-Move, N = 77) and a supervised exercise program with a home-based component (OnTrack, N = 76). METHODS: We assessed adherence via self-report (home-based program) and attendance records (supervised program). We used logistic regression analysis to identify sociodemographic, clinical and behavioural variables associated with program adherence. Patient satisfaction was assessed with self-report and is reported descriptively. RESULTS: Fifty-one percent of Onco-Move and 62% of OnTrack participants were adherent to the home-based program, while 59% of OnTrack participants were adherent to the supervised sessions. Higher baseline physical fitness was associated with higher adherence to home-based components. Higher disease stage and having a partner were associated with adherence to OnTrack supervised sessions. Overall satisfaction with the exercise programs was high, but ratings of coaching provided by professionals for the home-based components were low. Patients offered suggestions for improving delivery of the programs. CONCLUSIONS: These findings point to factors relevant to program adherence and suggest ways in which such programs can be improved. Providing additional time and training for health care professionals could improve the quality and hopefully the effectiveness of the interventions. The use of online diaries and smartphone apps may provide additional encouragement to participants. Finally, allowing greater flexibility in the planning and availability of supervised exercise training in order to accommodate the variability in cancer treatment schedules and the (acute) side effects of the treatments could also enhance program adherence. TRIAL REGISTRATION: Netherlands Trial Register, NTR2159. http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2159.

Physical activity in patients with cancer: self-report versus accelerometer assessments.

PURPOSE: The level of daily physical activity in patients with cancer is frequently assessed by questionnaires, such as the Physical Activity Scale for the Elderly (PASE). Objective assessments, with for example accelerometers, may be a good alternative. The aim of this study was to investigate the agreement between the PASE questionnaire and accelerometer-assessed physical activity in a large group of patients with different types of cancer. METHODS: Baseline accelerometer and PASE questionnaire data of 403 participants from the REACT (Resistance and Endurance Exercise After Chemotherapy, n = 227), the EXIST (Exercise Intervention After Stem-Cell Transplantation, n = 74), and NET-QUBIC (NEtherlands QUality of Life And Biomedical Cohort Studies In Cancer, n = 102) studies were available for the current analyses. Physical activity was assessed by the PASE questionnaire (total score) and accelerometers (total minutes per day > 100 counts). Linear mixed models regression analysis was used to assess the agreement between the PASE questionnaire and accelerometer-assessed physical activity. RESULTS: The mean (SD) PASE score was 95.9 (75.1) points and mean (SD) time in physical activity measured with the accelerometer was 256.6 (78.8) min per day. The agreement between the PASE score and the accelerometer data was significant, but poor (standardized regression coefficient (B) = 0.36, 95%CI = 0.27; 0.44, p < 0.01). CONCLUSION: Agreement between the PASE questionnaire and accelerometer-assessed physical activity was poor. The poor agreement indicates that they measure different physical activity constructs and cannot be used interchangeably to assess the level of daily physical activity in patients with cancer.