Effect of Yoga and Mediational Influence of Fatigue on Walking, Physical Activity, and Quality of Life Among Cancer Survivors.

BACKGROUND: Cancer-related fatigue (CRF) negatively affects survivors' walking, engagement in physical activity (PA), and quality of life (QoL). Yoga is an effective therapy for treating CRF; however, evidence from large clinical trials regarding how reducing CRF through yoga influences CRF's interference with survivors' walking, engagement in PA, and QoL is not available. We examined the effects of yoga and the mediational influence of CRF on CRF's interference with walking, PA, and QoL among cancer survivors in a multicenter phase III randomized controlled trial. PATIENTS AND METHODS: Cancer survivors (n=410) with insomnia 2 to 24 months posttreatment were randomized to a 4-week yoga intervention-Yoga for Cancer Survivors (YOCAS)-or standard care. A symptom inventory was used to assess how much CRF interfered with survivors' walking, PA, and QoL. The Multidimensional Fatigue Symptom Inventory-Short Form was used to assess CRF. Two-tailed t tests and analyses of covariance were used to examine within-group and between-group differences. Path analysis was used to evaluate mediational relationships between CRF and changes in CRF's interference with walking, PA, and QoL among survivors. RESULTS: Compared with standard care controls, YOCAS participants reported significant improvements in CRF's interference with walking, PA, and QoL at postintervention (all effect size = -0.33; all P≤.05). Improvements in CRF resulting from yoga accounted for significant proportions of the improvements in walking (44%), PA (53%), and QoL (45%; all P≤.05). CONCLUSIONS: A significant proportion (44%-53%) of the YOCAS effect on CRF's interference with walking, PA, and QoL was due to improvements in CRF among cancer survivors. Yoga should be introduced and included as a treatment option for survivors experiencing fatigue. By reducing fatigue, survivors further improve their walking, engagement in PA, and QoL.

Inflammation, Attention, and Processing Speed in Patients With Breast Cancer Before and After Chemotherapy.

BACKGROUND: Inflammation may contribute to cognitive difficulties in patients with breast cancer. We tested 2 hypotheses: inflammation is elevated in patients with breast cancer vs noncancer control participants and inflammation in patients is associated with worse attention and processing speed over the course of chemotherapy. METHODS: Serum cytokines (interleukin [IL]-4, 6, 8, 10; tumor necrosis factor [TNF]-α) and soluble receptors [sTNFRI, II]) were measured in 519 females with breast cancer before and after chemotherapy and 338 females without cancer serving as control participants. Attention and processing speed were measured by Rapid Visual Processing (RVP), Backward Counting (BCT), and Trail Making-A (TMT-A) tests. Linear regression models examined patient vs control cytokines and receptor levels, adjusting for covariates. Linear regression models also examined relationships between patient cytokines and receptor levels and test performance, adjusting for age, body mass index, anxiety, depression, cognitive reserve, and chemotherapy duration. Statistical tests were 2-sided (α = .05). RESULTS: sTNFRI and sTNFRII increased over time in patients relative to controls, whereas IL-4, IL-6, and IL-10 decreased. Prechemotherapy, higher IL-8 associated with worse BCT (ß = 0.610, SE = 0.241, P = .01); higher IL-4 (ß = -1.098, SE = 0.516, P = .03) and IL-10 (ß = -0.835, SE = 0.414, P = .04) associated with better TMT-A. Postchemotherapy, higher IL-8 (ß = 0.841, SE = 0.260, P = .001), sTNFRI (ß = 6.638, SE = 2.208, P = .003), and sTNFRII (ß = 0.913, SE = 0.455, P = .045) associated with worse BCT; higher sTNFRII also associated with worse RVP (ß = -1.316, SE = 0.587, P = .03). At prechemotherapy, higher IL-4 predicted RVP improvement over time (ß = 0.820, SE = 0.336, P = .02); higher sTNFRI predicted worse BCT over time (ß = 5.566, SE = 2.367, P = .02). Longitudinally, increases in IL-4 associated with BCT improvement (ß = -0.564, SE = 0.253, P = .03). CONCLUSIONS: Generally, worse attention and processing speed were associated with higher inflammatory cytokines and receptors and lower anti-inflammatory cytokines in patients; future confirmatory studies are needed.

Using Geriatric Assessment to Guide Conversations Regarding Comorbidities Among Older Patients With Advanced Cancer.

PURPOSE: Older patients with advanced cancer often have comorbidities that can worsen their cancer and treatment outcomes. We assessed how a geriatric assessment (GA)-guided intervention can guide conversations about comorbidities among patients, oncologists, and caregivers. METHODS: This secondary analysis arose from a nationwide, multisite cluster-randomized trial (ClinicalTrials.gov identifier: NCT02107443). Eligible patients were ≥ 70 years, had advanced cancer (solid tumors or lymphoma), and had impairment in at least one GA domain (not including polypharmacy). Oncology practices (n = 30) were randomly assigned to usual care or intervention. All patients completed a GA; in the intervention arm, a GA summary with recommendations was provided to their oncologist. Patients completed an Older Americans Resources and Services Comorbidity questionnaire at screening. The clinical encounter following GA was audio-recorded, transcribed, and coded for topics related to comorbidities. Linear mixed models examined the effect of the intervention on the outcomes adjusting for practice site as a random effect. RESULTS: Patients (N = 541) were 76.6 ± 5.2 years old; 94.6% of patients had at least one comorbidity with an average of 3.2 ± 1.9. The intervention increased the average number of conversations regarding comorbidities per patient from 0.52 to 0.99 (P < .01). Moreover, there were a greater number of concerns acknowledged (0.52 v 0.32; P = .03) and there was a 2.4-times higher odds of having comorbidity concerns addressed via referral, handout, or other modes (95% CI, 1.3 to 4.3; P = .004). Most oncologists in the intervention arm (76%) discussed comorbidities in light of the treatment plan, and 41% tailored treatment plans. CONCLUSION: Providing oncologists with a GA-guided intervention enhanced communication regarding comorbidities.

Health related quality of life in adult cancer survivors: Importance of social and emotional support.

BACKGROUND: Adult cancer survivors (ACS) are at increased risk for developing various comorbid conditions and having poor health-related quality of life (HRQOL) when compared to adults with no history of cancer. The effect of social and emotional support on HRQOL among ACS is not fully elucidated. The purpose of this study was to understand the role of social and emotional support on HRQOL in ACS and to examine if the association between social and emotional support and HRQOL is modified by gender, time since cancer diagnosis, or marital status. METHODS: Data for this study were obtained from the 2009 Behavioral Risk Factor Surveillance System. Statistical analysis was based on ACS with complete data (n = 23,939) on all variables considered. Multivariable logistic regression models were used to model the association between social and emotional support and indicators of HRQOL (i.e., general health, physical health, mental health, and activity limitation). To examine if gender, marital status, or the number of years since cancer diagnosis modify the association, separate stratified analyses were conducted. RESULTS: When compared to ACS who reported that they Rarely/Never received social and emotional support, those who reported that they Always received were 32 % less likely to report Fair/Poor General health, 23 % less likely to report frequent unhealthy days of Physical health, 73 % less likely to report frequent unhealthy days of Mental health and 38 % less likely to report frequent unhealthy days of Activity limitation. Social and emotional support was positively associated with all four domains of HRQOL among ACS who were female, unmarried, or greater than 5 years since cancer diagnosis, while this positive association was evident only with one or two domains of HRQOL among their corresponding counterparts (i.e., male, married, less than 5 years since diagnosis). CONCLUSIONS: Social and emotional support is an important factor directly related to a better HRQOL, but it is modified by gender, marital status, and time since diagnosis. Findings from this study should inform health care providers about the importance of a support system for ACS in improving their overall quality of life.

Caregiving burden of informal caregivers of older adults with advanced cancer: The effects of rurality and education.

OBJECTIVES: Rural-urban disparities in the experiences of caregivers of older adults with advanced cancer may exist. This study examined factors associated with caregiver mastery and burden and explored whether rural-urban disparities in caregiver outcomes differed by education. MATERIALS AND METHODS: Longitudinal data (baseline, 4-6 weeks, and 3 months) on caregivers of older adults (≥ 70) with advanced cancer were obtained from a multicenter geriatric assessment (GA) trial (ClinicalTrials.gov: NCT02107443). Rurality was determined based on 2010 Rural-Urban Commuting Area codes. Caregivers' education was categorized as ≥ some college vs ≤ high school. Caregiver outcomes included Ryff Environmental Mastery (scored 7-35) and Caregiver Reaction Assessment (including self-esteem, disrupted schedules, financial problems, lack of social support, and health problems; each scored 1-5). Separate linear mixed models with interaction term of education and rurality were performed. RESULTS: Of 414 caregivers, 64 (15.5%) were from rural areas and 263 (63.5%) completed ≥ some college. Rurality was significantly associated with more disrupted schedules (ß = 0.21), financial problems (ß = 0.17), and lack of social support (ß = 0.11). A significant interaction between education and rurality was found, with rurality associated with lower mastery (ß = -1.27) and more disrupted schedule (ß = 0.25), financial problems (ß = 0.33), and lack of social support (ß = 0.32) among caregivers with education ≤ high school. CONCLUSION: Our study identifies subgroups of caregivers who are vulnerable to caregiving burden, specifically those from rural areas and with lower education. Multifaceted interventions are needed to improve caregivers' competency and reduce caregiving burden.

Excess Body Weight and Cancer-Related Fatigue, Systemic Inflammation, and Serum Lipids in Breast Cancer Survivors.

BACKGROUND: Cancer-related fatigue (CRF) is a common side effect impacting breast cancer survivors. Research points to a relationship between obesity and CRF in breast cancer survivors related to elevated systemic inflammation and metabolic alterations. METHODS: This cross-sectional study examined the relationship of obesity to CRF, inflammatory markers and serum lipids through a secondary analysis of a nationwide randomized controlled trial. Breast cancer survivors with CRF were categorized based on BMI category. Symptoms of CRF, inflammatory markers and serum fatty acids were assessed among groups. RESULTS: There were 105 breast cancer survivors in the analysis. BMI was positively associated with CRF based on MFSI General (p = 0.020; 95% C.I. 0.024, 0.273) and MFSI Physical (p = 0.013; 95% C.I. 0.035, 0.298) subscales. TNF-α (p = 0.007; 95% C.I. 0.007, 0.044), and IL-6 (p = 0.020; 95% C.I. 0.006, 0.073) were elevated in the obese. Monounsaturated fatty acid levels (p = 0.047; 95% C.I. 0.000, 0.053) and the omega-6 to omega-3 fatty acid ratio were associated with obesity (p = 0.047; 95% C.I. 0.002, 0.322). CONCLUSIONS: Obese breast cancer survivors had greater levels of CRF, inflammatory markers and certain fatty acids. Inflammatory markers and fatty acids were not found to have any mediating or positive association with CRF variables in this analysis. NCT02352779.