Anthropometric traits and risk of multiple myeloma: differences by race, sex and diagnostic clinical features.

BACKGROUND: Obesity is an established modifiable risk factor for multiple myeloma (MM). However, associations of obesity and MM risk in Black populations, for whom obesity and MM are more common, is less clear. METHODS: Using participants enrolled in the Integrative Molecular And Genetic Epidemiology study, we evaluated the association of anthropometric traits with MM risk overall, stratified by race and sex. Among cases, we assessed the association of BMI with the presence of myeloma-defining events. RESULTS: We observed an 18% increase in MM risk for every 5 kg/m2 increase in usual adult BMI. Participants with severe obesity (BMI ≥ 40 kg/m2) had the highest risk compared to those with a normal usual adult BMI (18.5-24.9 kg/m2; OR = 1.87, 95% CI 1.25-2.80), particularly among Black men (OR = 3.94, 95% CI 0.90-17.36). Furthermore, MM cases with overweight/obesity (BMI ≥ 25 kg/m2) were more likely to present at diagnosis with low renal function (OR = 1.62, 95% CI 1.09-2.40), deletion 13q (OR = 1.73, 95% CI 1.08-2.76) and lytic lesions or compression fractures (OR = 2.39, 95% CI 0.82-7.01) and less likely to present with severe diffuse osteopenia (OR = 0.51, 95% CI 0.31-0.81). CONCLUSIONS: Findings underscore the importance of obesity as a modifiable risk factor for MM, particularly in high-risk populations, and for the clinical presentation of disease.

Living together-does it help or hinder the pursuit of a healthful diet, physical activity, and weight loss among cancer survivors and their chosen partners?

PURPOSE: Parental or spousal cohabitating relationships are often targeted in behavioral interventions, but the contribution of cohabitation is poorly understood. This study explored whether cohabitation status moderated the impact of social cognitive theory constructs on adiposity, diet, and exercise in a dyadic, web-based weight loss intervention among cancer survivors and their chosen partners. METHODS: The 24-week weight loss intervention was conducted among 56 dyads, comprised of a cancer survivor and their chosen partner (n = 112). Baseline and 6-month data on social cognitive theory constructs (self-efficacy, social support, and perceived barriers), and study outcomes of adiposity (weight and waist circumference), diet (calories and diet quality), and moderate-to-vigorous physical activity (MVPA) were used to perform moderated-mediation analyses among cohabitating (n = 25) versus non-cohabitating (n = 31) dyads. RESULTS: The intervention was positively associated with dietary social support (path a1: 0.36, 95% CI [0.083, 0.659]) and inversely associated with perceived dietary barriers (path a1: - 10.57, 95% CI [- 19.109, - 3.091]) and perceived exercise barriers (path a1: - 11.29, 95% CI [- 22.098, - 3.500]) among those who did not cohabitate (effects not observed among cohabitating pairs). The intervention's mediating effects through perceived barriers on weight (indirect effect (ab): - 2.21, 95% CI [- 4.794, - 0.548]), waist circumference (ab: - 1.13, 95% CI [- 2.452, - 0.171]), caloric intake (ab: - 5.09 (2.86), 95% CI [- 12.602, - 0.709]), and self-reported MVPA (ab: 0.29 (0.18), 95% CI [0.019, 0.754]) also were stronger among non-cohabitating pairs. CONCLUSIONS: These findings suggest that social support partners outside the home substantially enhance intervention impact, though relationship quality and gender dynamics warrant further exploration. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04132219.

Cancer disparities in the context of rurality: risk factors and screening across various U.S. rural classification codes.

PURPOSE: Prior cancer research is limited by inconsistencies in defining rurality. The purpose of this study was to describe the prevalence of cancer risk factors and cancer screening behaviors across various county-based rural classification codes, including measures reflecting a continuum, to inform our understanding of cancer disparities according to the extent of rurality. METHODS: Using an ecological cross-sectional design, we examined differences in cancer risk factors and cancer screening behaviors from the Behavioral Risk Factor Surveillance System and National Health Interview Survey (2008-2013) across rural counties and between rural and urban counties using four rural-urban classification codes for counties and county-equivalents in 2013: U.S. Office of Management and Budget, National Center for Health Statistics, USDA Economic Research Service's rural-urban continuum codes, and Urban Influence Codes. RESULTS: Although a rural-to-urban gradient was not consistently evident across all classification codes, the prevalence of smoking, obesity, physical inactivity, and binge alcohol use increased (all ptrend < 0.03), while colorectal, cervical and breast cancer screening decreased (all ptrend < 0.001) with increasing rurality. Differences in the prevalence of risk factors and screening behaviors across rural areas were greater than differences between rural and urban counties for obesity (2.4% vs. 1.5%), physical activity (2.9% vs. 2.5%), binge alcohol use (3.4% vs. 0.4%), cervical cancer screening (6.8% vs. 4.0%), and colorectal cancer screening (4.4% vs. 3.8%). CONCLUSIONS: Rural cancer disparities persist across multiple rural-urban classification codes, with marked variation in cancer risk factors and screening evident within rural regions. Focusing only on a rural-urban dichotomy may not sufficiently capture subpopulations of rural residents at greater risk for cancer and cancer-related mortality.

Adapting MultiPLe behavior Interventions that eFfectively Improve (AMPLIFI) cancer survivor health: program project protocols for remote lifestyle intervention and assessment in 3 inter-related randomized controlled trials among survivors of obesity-related cancers.

BACKGROUND: Scalable, multiple behavior change interventions are needed to address poor diet, inactivity, and excess adiposity among the rising number of cancer survivors. Efficacy-tested diet (RENEW) and exercise (BEAT Cancer) programs were adapted for web delivery among middle-aged and older cancer survivors for the AMPLIFI study, a National Cancer Institute-funded, multi-site, program project. METHODS: Throughout the continental U.S., survivors of several obesity-related cancers are being recruited for three interconnected randomized controlled trials (RCTs). Projects 1 and 2 test 6-month diet or exercise interventions versus a wait-list control condition. Upon completion of the 6-month study period, the intervention participants receive the next behavior change sequence (i.e., diet receives exercise, exercise receives diet) and the wait-list control arm initiates a 12-month combined diet and exercise intervention. Project 3 tests the efficacy of the sequential versus simultaneous interventions. Assessments occur at baseline and semi-annually for up to 2-years and include: body mass index, health behaviors (diet quality, accelerometry-assessed physical activity/sleep), waist circumference, D3 creatine-assessed muscle mass, physical performance, potential mediators/moderators of treatment efficacy, biomarkers of inflammation and metabolic regulation, health care utilization, cost, and overall health. Four shared resources support AMPLIFI RCTs: 1) Administrative; 2) Adaptation, Dissemination and Implementation; 3) Recruitment and Retention; and 4) Assessment and Analysis. DISCUSSION: Representing a new generation of RCTs, AMPLIFI will exclusively use remote technologies to recruit, intervene and assess the efficacy of the newly-adapted, web-based diet and exercise interventions and determine whether sequential or combined delivery works best for at-risk (older, rural, racial minority) cancer survivors. TRIAL REGISTRATION: ClinicalTrials.gov , NCT04000880 . Registered 27 June 2019.

Practical clinical interventions for diet, physical activity, and weight control in cancer survivors.

Answer questions and earn CME/CNE The importance of expanding cancer treatment to include the promotion of overall long-term health is emphasized in the Institute of Medicine report on delivering quality oncology care. Weight management, physical activity, and a healthy diet are key components of tertiary prevention but may be areas in which the oncologist and/or the oncology care team may be less familiar. This article reviews current diet and physical activity guidelines, the evidence supporting those recommendations, and provides an overview of practical interventions that have resulted in favorable improvements in lifestyle behavior change in cancer survivors. It also describes current lifestyle practices among cancer survivors and the role of the oncologist in helping cancer patients and survivors embark upon changes in lifestyle behaviors, and it calls for the development of partnerships between oncology providers, primary care providers, and experts in nutrition, exercise science, and behavior change to help positively orient cancer patients toward longer and healthier lives.

Moderators of physical activity and quality of life response to a physical activity intervention for breast cancer survivors.

PURPOSE: Moderate-to-vigorous physical activity (MVPA) can improve the quality of life (QoL) for breast cancer survivors (BCS), yet, most do not achieve 150 + weekly minutes of MVPA. This study investigated moderators of response to a physical activity (PA) behavior change intervention for BCS. METHODS: BCS (N = 222) were randomized to the 3-month intervention (BEAT Cancer) or usual care. Measurements occurred at baseline, post-intervention, and 3 months post-intervention. Measures included accelerometry, self-reported MVPA, and Functional Assessment of Cancer Therapy (FACT-General, FACT-Breast, physical well-being (PWB), social well-being (SWB), emotional well-being (EWB), functional well-being (FWB), additional concerns (AC), and Trial Outcome Index (TOI)). RESULTS: Adjusted linear mixed-model analyses indicated individuals ≤ 24 months post-diagnosis and who were single reported smaller increases in weekly self-reported MVPA than those > 24 months (44.07 vs 111.93) and partnered (- 16.24 vs. 49.16 min), all p < 0.05. As for QoL, participants < 12 months post-diagnosis who received chemotherapy experienced smaller improvements than those ≥ 12 months in FACT-General, FACT-Breast, PWB, and SWB scores. Survivors with a history of chemotherapy had smaller improvements in FACT-General, FACT-Breast, PWB, SWB, TOI, and AC scores, all p < 0.05. CONCLUSION: These findings indicate that being < 2 years post-diagnosis, single, and prior chemotherapy may limit MVPA and QOL responses to a PA intervention. Further studies are needed to determine if and/or what additional PA supports and resources these subgroups of BCS might find beneficial and effective. TRIAL REGISTRATION: ClinicalTrials.gov number: NCT00929617.

Determining patient needs to enhance exercise program implementation and uptake in rural settings for women after a cancer diagnosis.

PURPOSE: To qualitatively explore exercise barriers and facilitators experienced by rural female cancer survivors from the program interventionist and recipient perspective for the purpose of enhancing exercise program implementation and uptake in rural settings. METHODS: A descriptive qualitative study design was utilized. Focus groups were conducted prior to implementation of an evidence-based exercise program by a rural non-research cancer clinical site. Nineteen rural female cancer survivors (mean age = 61.7 ± 10.9 years) and 11 potential interventionists (mean age = 42.3 ± 15.3 years) completed focus groups (stratified by participant role). Focus groups were audio recorded, transcribed, coded, and analyzed using inductive thematic analysis with NVivo 11. RESULTS: Cancer survivors identified 12 barrier themes (cancer specific adverse effects, lack of support, lack of knowledge, perceived negative aspects of exercise, cost, lack of resources, motivation, inconvenience, lack of program flexibility, time, weather, safety) and eight facilitator themes (knowledge, ease of access, resources, awareness, cost, options, organized, fun) related to exercise. Interventionists identified seven barrier themes (cost, transportation, lack of cancer survivor and interventionist knowledge, fear, motivation, lack of support, lack of resources) and four facilitator themes (resources, support, knowledge, motivation). Narratives revealed differing role-specific perspectives on shared themes between survivors and interventionists as well as potential implementation strategies for enhancing exercise participation and exercise program uptake among rural female cancer survivors. CONCLUSION: Exploring multi-level stakeholder perspectives on cancer survivors' exercise needs and related strategies yields important information for organizations to consider when implementing exercise programs in rural contexts.

Randomized trial of weight loss in primary breast cancer: Impact on body composition, circulating biomarkers and tumor characteristics.

Obesity adversely impacts overall and cancer-specific survival among breast cancer patients. Preclinical studies demonstrate negative energy balance inhibits cancer progression; however, feasibility and effects in patients are unknown. A two-arm, single-blinded, randomized controlled weight-loss trial was undertaken presurgery among 32 overweight/obese, Stage 0-II breast cancer patients. The attention control arm (AC) received basic nutritional counseling and upper-body progressive resistance training whereas the weight loss intervention (WLI) arm received identical guidance, plus counseling on caloric restriction and aerobic exercise to promote 0.68-0.92 kg/week weight loss. Anthropometrics, body composition, blood and survey data were collected at baseline and presurgery ∼30 days later. Tumor markers (e.g., Ki67) and gene expression were assessed on biopsy and surgical specimens; sera were analyzed for cytokines, growth and metabolic factors. Significant WLI vs. AC differences were seen in baseline-to-follow-up changes in weight (-3.62 vs. -0.52 kg), %body fat (-1.3 vs. 0%), moderate-to-vigorous physical activity (+224 vs. +115 min/week), caloric density (-0.3 vs. 0 kcal/g), serum leptin (-12.3 vs. -4.0 ng/dl) and upregulation of tumor PI3Kinase signaling and cell cycle-apoptosis related genes (CC-ARG; all p-values <0.05). Cytolytic CD56dim NK cell expression was positively associated with weight loss; CC-ARG increased with physical activity. Increased tumor (nuclear) TNFα and IL-1ß, CX3CL1 and CXCL1 gene expression was observed in the WLI. Tumor Ki67 did not differ between arms. Feasibility benchmarks included 80% accrual, 100% retention, no adverse effects and excellent adherence. Short-term weight loss interventions are feasible; however, mixed effects on tumor biology suggest unclear benefit to presurgical caloric restriction, but possible benefits of physical activity.

Gut microbiota diversity is associated with cardiorespiratory fitness in post-primary treatment breast cancer survivors.

NEW FINDINGS: What is the central question of this study? Does the link between cardiorespiratory fitness and gut microbiota diversity persist after adjusting for the potential effects of percentage body fat and activity-related energy expenditure (AEE)? What is the main finding and its importance? This is the first study to examine the link between cardiorespiratory fitness and gut microbiota diversity while accounting for the underlying effects of percentage body fat and free-living AEE. Results from the present work suggest that cardiorespiratory fitness, not physical activity, is a superior correlate of gut microbiota diversity among post-primary treatment, non-metastatic breast cancer survivors. ABSTRACT: Cancer treatment uniquely triggers multiple physiological shifts detrimental to overall health. Although previous research indicates a link between the gut microbiota and cardiorespiratory fitness, it is unclear whether these findings are attributable to potential underlying effects of percentage body fat or free-living activity energy expenditure (AEE). The microbe composition of faecal specimens from 37 breast cancer survivors was determined using 16S microbiome analyses. Individual-sample microbiota diversity (α-diversity) and between-sample community differences (ß-diversity) were examined. Peak oxygen uptake ( V̇O2peak ) was estimated from a graded exercise test consistent with the modified Naughton protocol, in which exercise terminates at 85% of age-predicted maximal heart rate. The AEE was measured over 10 days using doubly labelled water, wherein the percentage body fat was calculated from total body water. Pearson correlations revealed α-diversity indices (Chao1, observed species, PD whole tree and Shannon) to be positively associated with V̇O2peak (r = 0.34-0.51; P < 0.05), whereas the percentage of maximal heart rate during stages 1-4 of the graded exercise test (r = -0.34 to -0.50; P < 0.05) and percentage body fat (r = -0.32 to -0.41; P < 0.05) were negatively associated with the same α-diversity indices. Multiple linear regression models showed that V̇O2peak accounted for 22 and 26% of the variance in taxonomic richness (observed species) and phylogenic diversity after adjustment for percentage body fat and menopausal status. Unweighted UniFrac (ß-diversity) was significant for several outcomes involving cardiorespiratory fitness, and significant taxa comparisons were found. Associations between gut microbiota and free-living AEE were not found. Results from the present work suggest that cardiorespiratory fitness, not physical activity, is a superior correlate of gut microbiota diversity.

Head and neck cancer survivors' preferences for and evaluations of a post-treatment dietary intervention.

BACKGROUND: Dietary preferences vary depending on cancer type. The purpose of this study was to report dietary intervention preferences and a study program evaluation from post-treatment head and neck cancer survivors participating in a dietary intervention. METHODS: Between January 2015 and August 2016, 24 head and neck cancer survivors participated in a 12-week randomized clinical dietary intervention trial that promoted weekly consumption of 2.5 cups of cruciferous vegetables and 3.5 cups of green leafy vegetables. At study completion, survivors completed a preferences survey and a study program evaluation to probe interests and improvement aspects for planning future dietary intervention trials. Descriptive statistics (means and frequencies) were generated for multiple choice question responses. Responses to open-ended questions were recorded and grouped based on themes, and verified by quality assurance checks by a second study team member. RESULTS: Twenty-three survivors completed the preferences and evaluation surveys (response rate 96%). Overall, most participants reported a preference for one-on-one telephone counseling from a registered dietitian nutritionist before beginning treatment. Ninety-six percent of participants ranked the overall study program as "very good" to "excellent," and all agreed the objectives of the study were clear, the study staff was helpful and easy to contact, and the registered dietitian nutritionist was knowledgeable. CONCLUSIONS: Future research and dietary intervention planning for head and neck cancer survivors should focus on strategies to promote one-on-one telephone or other distance-based counseling combined with face-to-face visits, according to survivor preference.

Inverse association between changes in energetic cost of walking and vertical accelerations in non-metastatic breast cancer survivors.

PURPOSE: With accelerometry, the utility to detect changes in physical activity are predicated on the assumption that walking energetics and gait mechanics do not change. The present work examined associations between changes (∆) in walking energetics, exercise self-efficacy, and several accelerometer-derived metrics. METHODS: Secondary analyses were performed among a sub-sample (n = 29) of breast cancer survivors participating in a larger randomized trial. During 4 min of treadmill walking (0.89 m s-1, 0% grade), indirect calorimetry quantified steady-state energy expenditure (EE), wherein, participants were fitted with a heart rate monitor and hip-worn triaxial accelerometer. Exercise self-efficacy was measured using a 9-item questionnaire, while vector magnitude (VM) and individual planes (e.g., mediolateral, vertical, and anteroposterior) of the movement were extracted for data analyses. Evaluations were made at baseline and after 3 months. RESULTS: From baseline to 3 months, the energetic cost of walking (kcals min-1) significantly decreased by an average of - 5.1% (p = 0.001; d = 0.46). Conversely, VM significantly increased (p = 0.007; d = 0.53), exclusively due to greater vertical accelerations (acc) (+ 5.7 ± 7.8 acc; p = 0.001; d = 0.69). Changes in vertical accelerations were inversely and positively associated with ∆walking EE (r = - 0.37; p = 0.047) and ∆exercise self-efficacy (r = 0.39; p = 0.034), respectively. CONCLUSION: Hip-worn accelerometers do not appear well-suited to correctly detect changes in ease of walking as evidenced by reduced energetic cost. Further research should determine if a divergence between measured EE and vertical accelerations could contribute to erroneous inferences in free-living physical activity.

Higher carbohydrate intake is associated with increased risk of all-cause and disease-specific mortality in head and neck cancer patients: results from a prospective cohort study.

No studies have evaluated associations between carbohydrate intake and head and neck squamous cell carcinoma (HNSCC) prognosis. We prospectively examined associations between pre- and post-treatment carbohydrate intake and recurrence, all-cause mortality, and HNSCC-specific mortality in a cohort of 414 newly diagnosed HNSCC patients. All participants completed pre- and post-treatment Food Frequency Questionnaires (FFQs) and epidemiologic surveys. Recurrence and mortality events were collected annually. Multivariable Cox Proportional Hazards models tested associations between carbohydrate intake (categorized into low, medium and high intake) and time to recurrence and mortality, adjusting for relevant covariates. During the study period, there were 70 deaths and 72 recurrences. In pretreatment analyses, high intakes of total carbohydrate (HR: 2.29; 95% CI: 1.23-4.25), total sugar (HR: 3.03; 95% CI: 1.12-3.68), glycemic load (HR: 2.10; 95% CI: 1.15-3.83) and simple carbohydrates (HR 2.26; 95% CI 1.19-4.32) were associated with significantly increased risk of all-cause mortality compared to low intake. High intakes of carbohydrate (HR 2.45; 95% CI: 1.23-4.25) and total sugar (HR 3.03; 95% CI 1.12-3.68) were associated with increased risk of HNSCC-specific mortality. In post-treatment analyses, medium fat intake was significantly associated with reduced risk of recurrence (HR 0.08; 95% CI 0.01-0.69) and all-cause mortality (HR 0.27; 95% CI 0.07-0.96). Stratification by tumor site and cancer stage in pretreatment analyses suggested effect modification by these factors. Our data suggest high pretreatment carbohydrate intake may be associated with adverse prognosis in HNSCC patients. Clinical intervention trials to further examine this hypothesis are warranted.

Changes in Body Mass Index and Physical Activity Predict Changes in Vitality During a Weight Loss Trial in Breast Cancer Survivors.

Background: Breast cancer survivors rank fatigue (e.g., decreased vitality) as their number one concern affecting quality of life. Excess adiposity is associated with decreased vitality in breast cancer survivors, yet weight loss intervention trials report inconsistent effects on this parameter. Methods: This is a secondary analysis of the Exercise and Nutrition to Enhance Recovery and Good Health for You trial, in which 692 overweight or obese breast cancer survivors ≤5 years from diagnosis, initiated weight loss interventions, and completed assessments semi-annually for 2 years. Assessments included the Godin Leisure-Time Exercise Questionnaire and the SF-36 MOS vitality subscale as an inverse measure of fatigue. Multilevel structural equation models estimated the direct effects of physical activity on vitality and indirect effects through body mass index (BMI) changes. Results: Within-person findings show that at assessments with greater physical activity, BMI was significantly lower (B = -0.07, p < 0.001) and vitality was higher (B = 0.22, p < 0.001). However, there was no direct relationship between lower BMI and higher vitality (B = -0.11, p = 0.262) after controlling for the relationship of physical activity with BMI and physical activity with vitality. The between-person indirect effect of physical activity change through BMI change to vitality was significant (B = 0.03, p < 0.001). Participants whose physical activity was above the mean (B = 0.37, p < 0.001) and whose BMI was below the mean (B = -1.05, p < 0.001) were more likely to report greater vitality. Conclusion: Improvements in vitality are primarily associated with increases in physical activity rather than BMI changes in this trial. Vitality was lower among survivors with higher BMI, although within-individual changes in BMI had no effect on vitality. Physical activity and weight loss share mechanistic links to vitality with physical activity potentially increasing (e.g., in an additive or synergistic manner) the effect of BMI reduction on vitality.

Ease of walking associates with greater free-living physical activity and reduced depressive symptomology in breast cancer survivors: pilot randomized trial.

PURPOSE: We hypothesized exercise training-induced improvements in ease of walking would associate with favorable changes in objectively measured physical activity (PA) and self-reported depressive symptoms following a PA behavior-change intervention in non-metastatic breast cancer survivors (BCS). METHODS: Twenty-seven BCS received random assignment to an intervention (INT) or control group (CON). INT included counseling/group discussions coupled with supervised exercise tapered to unsupervised exercise. PA, depressive symptoms, and ease of walking were evaluated pre-/post-intervention using 10-day accelerometry, HADS depression subscale, and indirect calorimetry during a standardized treadmill test, respectively. PA composite score was calculated by converting weekly minutes of moderate-to-vigorous PA and average steps/day to z-scores then dividing the sum by 2. Cardiac efficiency was determined by dividing steady-state oxygen uptake by heart rate to evaluate the volume of oxygen consumed per heartbeat. RESULTS: ANCOVA revealed a significant time by group interaction showing the INT group exhibited greater positive changes in the PA composite compared to the CON (INT, + 0.14 ± 0.66 au vs. CON, - 0.48 ± 0.49 au; p = 0.019; η p2 = 0.21). Changes occurring from baseline to follow-up, among all participants, revealed improved ease of walking (less oxygen uptake) associated with increased PA composite (r = - 0.52; p = 0.010) and lower depressive symptomology (r = 0.50; p = 0.012) adjusted for age, race, and months since cancer diagnosis. Increased cardiac efficiency during the standardized treadmill test also associated with less daily sedentary time (r = - 0.52; p = 0.021). CONCLUSIONS: These data support the assertion that reducing the physiological difficulty of walking may contribute to greater engagement in free-living PA, less sedentary time, and decreased psychosocial distress among BCS.

Effects of a multicomponent physical activity behavior change intervention on fatigue, anxiety, and depressive symptomatology in breast cancer survivors: randomized trial.

OBJECTIVES: To determine the effects of the 3-month multicomponent Better Exercise Adherence after Treatment for Cancer (BEAT Cancer) physical activity behavior change intervention on fatigue, depressive symptomatology, and anxiety. METHODS: Postprimary treatment breast cancer survivors (n = 222) were randomized to BEAT Cancer or usual care. Fatigue Symptom Inventory and Hospital Anxiety and Depression Scale were assessed at baseline, postintervention (month 3; M3), and follow-up (month 6; M6). RESULTS: Adjusted linear mixed-model analyses demonstrated significant effects of BEAT Cancer vs usual care on fatigue intensity (M3 mean between group difference [M] = -0.6; 95% confidence interval [CI] = -1.0 to -0.2; effect size [d] = -0.32; P = .004), fatigue interference (M3 M = -0.8; CI = -1.3 to -0.4; d = -0.40; P < .001), depressive symptomatology (M3 M = -1.3; CI = -2.0 to -0.6; d = -0.38; P < .001), and anxiety (M3 M = -1.3; CI = -2.0 to -0.5; d = -0.33; P < .001). BEAT Cancer effects remained significant at M6 for all outcomes (all P values <.05; d = -0.21 to -.35). Clinically meaningful effects were noted for fatigue intensity, fatigue interference, and depressive symptomatology. CONCLUSIONS: BEAT Cancer reduces fatigue, depressive symptomatology, and anxiety up to 3 months postintervention in postprimary treatment breast cancer survivors. Further study is needed to determine sustainable methods for disseminating and implementing the beneficial intervention components.

Social Cognitive Constructs Did Not Mediate the BEAT Cancer Intervention Effects on Objective Physical Activity Behavior Based on Multivariable Path Analysis.

BACKGROUND: Most breast cancer survivors do not meet physical activity recommendations. Understanding mediators of physical activity behavior change can improve interventions designed to increase physical activity in this at-risk population. PURPOSE: Study aims were to determine the 3-month Better Exercise Adherence after Treatment for Cancer (BEAT Cancer) behavior change intervention effects on social cognitive theory constructs and the mediating role of any changes on the increase in accelerometer-measured physical activity previously reported. METHODS: Post-treatment breast cancer survivors (N = 222) were randomized to BEAT Cancer or usual care. Assessments occurred at baseline, 3 months (M3), and 6 months (M6). Adjusted linear mixed model analysis of variance determined intervention effects on walking self-efficacy, outcome expectations, goal setting, and perceived barrier interference at M3. Path analysis determined mediation of intervention effects on physical activity at M6 by changes in social cognitive constructs during the intervention (i.e., baseline to M3). RESULTS: BEAT Cancer significantly improved self-efficacy, goals, negative outcome expectations, and barriers. Total path analysis model explained 24 % of the variance in M6 physical activity. There were significant paths from randomized intervention group to self-efficacy (ß = 0.15, p < .05) and barriers (ß = -0.22, p < .01). Barriers demonstrated a borderline significant association with M6 physical activity (ß = -0.24, p = .05). No statistically significant indirect effects were found. CONCLUSIONS: Although BEAT Cancer significantly improved social cognitive constructs, no significant indirect effects on physical activity improvements 3 months post-intervention were observed (NCT00929617).

Gut microbiota composition associated with alterations in cardiorespiratory fitness and psychosocial outcomes among breast cancer survivors.

PURPOSE: In this proof-of-concept pilot study, our purpose was to determine correlations between gut microbiota composition and alterations in cardiorespiratory fitness and psychosocial outcomes among post-primary treatment breast cancer survivors (BCS). METHODS: Composition of the gut microbiota in BCS (n = 12) was assessed at baseline (M0) and at the end of 3 months (M3) using Illumina MiSeq DNA Sequencing of the 16S rRNA gene. Gut microbiota composition was analyzed using the QIIME bioinformatics software and represented through diversity metrics and taxa analyses. Cardiorespiratory fitness, fatigue, anxiety, depression, and sleep dysfunction were assessed at M0 and M3 via the submaximal treadmill test, Fatigue Symptom Inventory, Hospital Anxiety and Depression Scale, and Pittsburgh Sleep Quality Index, respectively. RESULTS: Increased fatigue interference in BCS was associated with increased mean within-sample Shannon diversity (organism richness and evenness) (p = 0.009). Weighted UniFrac analysis (shifts in taxa relative abundance) revealed significant differences in between-sample (beta) diversity for changes in fatigue interference (p = 0.01) and anxiety (p = 0.022), with a trend observed for fatigue intensity and sleep dysfunction (p < 0.1). Unweighted UniFrac analysis (shifts in taxa types) found significant beta diversity differences for cardiorespiratory fitness (p = 0.026). Prior to false discovery correction (FDR), changes in fitness, fatigue, anxiety, and sleep dysfunction were associated with the frequency of certain gut bacteria genera (e.g., Faecalibacterium, Prevotella, Bacteroides) (p < 0.05). CONCLUSIONS: Correlations may exist between alterations in gut microbiota composition and longitudinal changes in cardiorespiratory fitness, fatigue, and anxiety in BCS. Further research examining the role of the microbiota-gut-brain axis in exercise-induced effects on psychosocial outcomes in BCS is warranted.

Effects of a multicomponent physical activity behavior change intervention on breast cancer survivor health status outcomes in a randomized controlled trial.

Little is known about the effects of physical activity behavior change interventions on health outcomes such as lower extremity dysfunction and SF-36 physical health (predictor of mortality) in breast cancer survivors. Furthermore, effect moderators are rarely reported. Therefore, we report the effects of the 3-month BEAT Cancer physical activity behavior change intervention on global health status and health indicators along with moderators of intervention outcomes. Postprimary treatment breast cancer survivors (n = 222) were randomized to BEAT Cancer or usual care (UC). SF-36, muscle strength, body mass index, lower extremity dysfunction (WOMAC), and life satisfaction were measured at 3 months (M3) and 6 months (M6). At M3, adjusted linear mixed-model analyses demonstrated statistically significant effects of BEAT Cancer versus UC on SF-36 physical health [mean between-group difference (M) = 2.1; 95 % confidence interval (CI) 0.3-3.9; p = 0.023], SF-36 mental health (M = 5.2; CI 2.8-7.6; p < 0.001), and all SF-36 subscores. Intervention benefits occurred for lower extremity physical dysfunction (M = -2.7; CI -5.0 to -0.5; p = 0.018), WOMAC total (M = -3.7; CI -6.7 to -0.6; p = 0.018), and life satisfaction (M = 2.4; CI 0.9-3.9; p = 0.001). Statistically significant effects persisted at M6 for mental health and vitality. Baseline value, income, marital status, cancer treatment, cancer stage, and months since diagnosis moderated one or more outcomes. BEAT Cancer improves SF-36, WOMAC, and life satisfaction outcomes with improvements in vitality and mental well-being continuing 3 months postintervention. Several moderators with potential to guide targeting individuals for optimal intervention benefit warrant further study.

Effects of the BEAT Cancer physical activity behavior change intervention on physical activity, aerobic fitness, and quality of life in breast cancer survivors: a multicenter randomized controlled trial.

Most breast cancer survivors (BCS) are not meeting recommended physical activity guidelines. Here, we report the effects of the Better Exercise Adherence after Treatment for Cancer (BEAT Cancer) behavior change intervention on physical activity, aerobic fitness, and quality of life (QoL). We randomized 222 post-primary treatment BCS to the 3-month intervention (BEAT Cancer) or usual care (UC). BEAT Cancer combined supervised exercise, face-to-face counseling, and group discussions with tapering to home-based exercise. Assessments at baseline, immediately post-intervention (month 3; M3), and 3 months post-intervention (month 6; M6) included accelerometer and self-reported physical activity, submaximal treadmill test, and QoL [Functional Assessment of Cancer Therapy (FACT)-Breast scale]. Adjusted linear mixed-model analyses demonstrated significant effects of BEAT Cancer compared to UC on weekly minutes of ≥ moderate intensity physical activity at M3 by accelerometer [mean between group difference (M) = +41; 95 % confidence interval (CI) = 10-73; p = 0.010] and self-report (M = +93; CI = 62-123; p < 0.001). Statistical significance remained at M6 for self-reported physical activity (M = +74; CI = 43-105; p < 0.001). BEAT Cancer participants were significantly more likely to meet physical activity recommendations at both time points [accelerometer M3 adjusted odds ratio (OR) = 2.2; CI = 1.0-4.8 and M6 adjusted OR = 2.4; CI = 1.1-5.3; self-report M3 adjusted OR = 5.2; CI = 2.6-10.4 and M6 adjusted OR = 4.8; CI = 2.3-10.0]. BEAT Cancer significantly improved fitness at M6 (M = +1.8 ml/kg/min; CI = 0.8-2.8; p = 0.001) and QoL at M3 and M6 (M = +6.4; CI = 3.1-9.7; p < 0.001 and M = +3.8; CI = 0.5-7.2; p = 0.025, respectively). The BEAT Cancer intervention significantly improved physical activity, fitness, and QoL with benefits continuing 3 months post-intervention.

Inflammation and psychosocial factors mediate exercise effects on sleep quality in breast cancer survivors: pilot randomized controlled trial.

OBJECTIVE: To improve mechanistic understanding, this pilot randomized controlled trial examined mediators of an exercise intervention effects on sleep in breast cancer survivors (BCS). METHODS: Forty-six postmenopausal BCS (≤Stage II, off primary treatment) were randomized to a 3-month exercise intervention or control group. Intervention included 160 min/week of moderate intensity aerobic walking, twice weekly resistance training (resistance bands), and six discussion groups (to improve adherence). Blinded assessments at baseline and post-intervention included sleep disturbance (PSQI and PROMIS®), objective sleep quality (accelerometer), serum cytokines, accelerometer physical activity, cardiorespiratory fitness, body composition, fatigue, and psychosocial factors. Mediation was tested using Freedman-Schatzkin difference-in-coefficients tests. RESULTS: When compared with control, the intervention group demonstrated a significant increase in PSQI sleep duration (i.e., fewer hours of sleep/night) (d = 0.73, p = .03). Medium to large but non-significant standardized effect sizes were noted for PSQI daytime somnolence (d = -0.63, p = .05) and accelerometer latency (d = -0.49, p = .14). No statistically significant mediators were detected for PSQI sleep duration score or accelerometer latency. Daytime somnolence was mediated by tumor necrosis factor-alpha (mediated 23% of intervention effect, p < .05), interleukin (IL)-6:IL-10 (16%, p < .01), IL-8:IL-10 (26%, p < .01), and fatigue (38%, p < .05). Mediating or enhancing relationships for several of the sleep outcomes were noted for accelerometer physical activity, PROMIS® fatigue, exercise social support, and/or physical activity enjoyment. CONCLUSIONS: Inflammation and psychosocial factors may mediate or enhance sleep response to our exercise intervention. Further study is warranted to confirm our results and translate our findings into more effective interventions aimed at improving sleep quality in BCS.