Heart Rate Monitoring Among Breast Cancer Survivors: Quantitative Study of Device Agreement in a Community-Based Exercise Program.

BACKGROUND: Exercise intensity (eg, target heart rate [HR]) is a fundamental component of exercise prescription to elicit health benefits in cancer survivors. Despite the validity of chest-worn monitors, their feasibility in community and unsupervised exercise settings may be challenging. As wearable technology continues to improve, consumer-based wearable sensors may represent an accessible alternative to traditional monitoring, offering additional advantages. OBJECTIVE: The purpose of this study was to examine the agreement between the Polar H10 chest monitor and Fitbit Inspire HR for HR measurement in breast cancer survivors enrolled in the intervention arm of a randomized, pilot exercise trial. METHODS: Participants included breast cancer survivors (N=14; aged 38-72 years) randomized to a 12-week aerobic exercise program. This program consisted of three 60-minute, moderate-intensity walking sessions per week, either in small groups or one-on-one, facilitated by a certified exercise physiologist and held at local community fitness centers. As originally designed, the exercise prescription included 36 supervised sessions at a fitness center. However, due to the COVID-19 pandemic, the number of supervised sessions varied depending on whether participants enrolled before or after March 2020. During each exercise session, HR (in beats per minute) was concurrently measured via a Polar H10 chest monitor and a wrist-worn Fitbit Inspire HR at 5 stages: pre-exercise rest; midpoint of warm-up; midpoint of exercise session; midpoint of cool-down; and postexercise recovery. The exercise physiologist recorded the participant's HR from each device at the midpoint of each stage. HR agreement between the Polar H10 and Fitbit Inspire HR was assessed using Lin concordance correlation coefficient (rc) with a 95% CI. Lin rc ranges from 0 to 1.00, with 0 indicating no concordance and 1.00 indicating perfect concordance. Relative error rates were calculated to examine differences across exercise session stages. RESULTS: Data were available for 200 supervised sessions across the sample (session per participant: mean 13.33, SD 13.7). By exercise session stage, agreement between the Polar H10 monitor and the Fitbit was highest during pre-exercise seated rest (rc=0.76, 95% CI 0.70-0.81) and postexercise seated recovery (rc=0.89, 95% CI 0.86-0.92), followed by the midpoint of exercise (rc=0.63, 95% CI 0.55-0.70) and cool-down (rc=0.68, 95% CI 0.60-0.74). The agreement was lowest during warm-up (rc=0.39, 95% CI 0.27-0.49). Relative error rates ranged from -3.91% to 3.09% and were greatest during warm-up (relative error rate: mean -3.91, SD 11.92%). CONCLUSIONS: The Fitbit overestimated HR during peak exercise intensity, posing risks for overexercising, which may not be safe for breast cancer survivors' fitness levels. While the Fitbit Inspire HR may be used to estimate exercise HR, precautions are needed when considering participant safety and data interpretation. TRIAL REGISTRATION: Clinicaltrials.gov NCT03980626; https://clinicaltrials.gov/study/NCT03980626?term=NCT03980626&rank=1.

Updated systematic review of the effects of exercise on understudied health outcomes in cancer survivors.

INTRODUCTION: The American College of Sports Medicine provided guidelines for exercise prescriptions in cancer survivors for specific cancer- and treatment-related health outcomes. However, there was insufficient evidence to generate exercise prescriptions for 10 health outcomes of cancer treatment. We sought to update the state of evidence. METHODS: We conducted a systematic review of these 10 understudied health outcomes (bone health, sleep, cardiovascular function, chemotherapy-induced peripheral neuropathy (CIPN), cognitive function, falls and balance, nausea, pain, sexual function, and treatment tolerance) and provided an update of evidence. RESULTS: While the evidence base for each outcome has increased, there remains insufficient evidence to generate exercise prescriptions. Common limitations observed across outcomes included: variability in type and quality of outcome measurement tools, variability in definitions of the health outcomes, a lack of phase III trials, and a majority of trials investigating breast or prostate cancer survivors only. CONCLUSION: We identified progress in the field of exercise oncology for several understudied cancer- and treatment-related health outcomes. However, we were not able to generate exercise prescriptions due to continued insufficient evidence base. More work is needed to prescribe exercise as medicine for these understudied health outcomes, and our review highlights several strategies to aid in research acceleration within these areas of exercise oncology.

Associations between Symptoms and Exercise Barriers in Breast Cancer Survivors.

Despite exercise benefits for cancer survivor health, most breast cancer survivors do not meet exercise recommendations. Few studies have examined associations between psychosocial symptoms and exercise barriers in this population. To improve physician exercise counseling by identifying survivors with high barriers in a clinical setting, associations between breast cancer symptoms (fatigue, mood, sleep quality) and exercise barriers were investigated. Physically inactive survivors (N = 320; average age 55 ± 8 years, 81% White, 77% cancer stage I or II) completed a baseline survey for a randomized physical activity trial and secondary analyses were performed. Potential covariates, exercise barriers interference score, Fatigue Symptom Inventory, Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index were assessed. Based on multiple linear regression analyses, only HADS Global (B = 0.463, p < 0.001) and number of comorbidities (B = 0.992, p = 0.01) were independently associated with total exercise barriers interference score, explaining 8.8% of the variance (R2 = 0.088, F(2,317) = 15.286, p < 0.001). The most frequent barriers to exercise for survivors above the HADS clinically important cut point included procrastination, routine, and self-discipline. These results indicate greater anxiety levels, depression levels, and comorbidities may be independently associated with specific exercise barriers. Health professionals should consider mood and comorbidities when evaluating survivors for exercise barriers, and tailoring exercise counseling.

Changes in amount and intensity of physical activity over time in breast cancer survivors.

BACKGROUND: Physical activity is associated with decreased breast cancer recurrence and mortality, as well as fewer treatment-related symptoms. Nevertheless, most breast cancer survivors do not meet physical activity guidelines. The purpose of this manuscript is to characterize physical activity trends over time in breast cancer survivors. METHODS: Mayo Clinic Breast Disease Registry participants received surveys at baseline and at 1 and 4 years after diagnosis; breast cancer recurrence and/or metastatic disease were exclusion criteria. Participants were considered to be meeting guidelines if they self-reported at least 150 minutes of moderate-intensity (eg, fast walking) and/or strenuous (eg, jogging) physical activity per week. Statistical analyses include analysis of covariance methods, paired t tests, conditional logistic regression models, and McNemar tests of homogeneity. RESULTS: A total of 171 participants were included in the analysis. The amount of total physical activity decreased over time (P = .07). Mild-intensity physical activity (eg, easy walking) decreased most over time (P = .05). Among participants aged 18-49 years, mild-intensity (P = .05) and moderate-intensity (P = .02) physical activity decreased over time. Strenuous-intensity physical activity levels decreased over time among participants with a normal body mass index (P = .002) and with obesity (P = .01). CONCLUSIONS: We found a trend-level decrease in total physical activity over time, driven mostly by a decrease in mild-intensity physical activity. Young breast cancer survivors are especially likely to reduce their physical activity over time. Further research on implementing physical activity guidelines in clinical practice is warranted.

Physical activity and cognitive function: A comparison of rural and urban breast cancer survivors.

PURPOSE: Increasing evidence suggests rural breast cancer survivors (BCS) may experience greater burden in symptoms known to be associated with cancer-associated cognitive decline (CACD). Yet, little is known about CACD in rural BCS. This study (1) examined differences in cognitive function, moderate-to-vigorous physical activity (MVPA), and other CACD correlates and (2) tested the effects of MVPA on cognitive function in rural versus urban BCS. METHODS: Rural and urban BCS (N = 80), matched on age, education, and time since diagnosis from a larger study, completed cognitive tasks assessing processing speed (Trails-B, Mazes, Task-Switch) and working memory (spatial working memory) and questionnaires assessing subjective memory impairment (SMI), MVPA, and CACD correlates (i.e., sleep quality, fatigue, anxiety/depression). Some participants (n = 62) wore an accelerometer to objectively estimate MVPA. Multiple linear regression and multivariate analysis of covariance were used to test study aims. RESULTS: Rural BCS (n = 40, M = 61.1±8.4 years-old) performed significantly slower on Trails-B (p<0.01) compared with urban BCS (n = 40, M = 61.0±8.2 years-old) and engaged in less objectively-estimated daily MVPA (mean difference = 13.83±4.73 minutes; p = 0.01). No significant differences in SMI, self-reported MVPA, or CACD correlates were observed (all p>0.28). Regression models did not reveal a significant interaction between MVPA and cognitive performance (all p>0.1); however, estimated marginal means models indicated that the effect of MVPA on processing speed was evident only among rural BCS (Trails-B, p = 0.04; Mazes, p = 0.03). CONCLUSIONS: Findings suggest rural BCS may suffer greater CACD and engage in less MVPA. Additional research is warranted to further examine CACD and more effectively promote MVPA in rural BCS.

Breast cancer survivors' exercise preferences change during an exercise intervention are associated with post-intervention physical activity.

PURPOSE: Exercise program preferences are important for designing physical activity (PA) interventions; yet may change following an intervention. Further, the relationship between preferences and PA behavior change is unclear. This study evaluated exercise program preferences among breast cancer survivors (BCS) before and after a behavioral intervention and associations between program preferences and PA change. METHODS: BCS were randomized to the BEAT Cancer intervention (n = 110) or written materials (n = 112). Questionnaires assessed exercise program preferences. Minutes per week of moderate-to-vigorous PA (MVPA) were accelerometer-measured and self-reported at baseline (M0), post-intervention (M3), and 3-month follow-up (M6). RESULTS: At M0, the majority of intervention group participants preferred exercising with others (62%) yet shifted to preferring exercising alone (59%) at M3 (p < 0.001). Furthermore, preferring exercising with others at M0 was associated with greater increases in self-reported MVPA between M0 and M6 (124.2 ± 152 vs. 53.1 ± 113.8, p = 0.014). BCS preferring facility-based exercise decreased after the BEAT Cancer intervention (14% vs. 7%, p = 0.039) and preferring exercising at home/had no preference at M0 had greater improvements in accelerometer-measured MVPA from M0 to M3 (74.3 ± 118.8 vs. -2.3 ± 78.4, p = 0.033) and M0 to M6 (44.9 ± 112.8 vs. 9.3 ± 30.4, p = 0.021). Exercise program preferences regarding mode of counseling, training supervision, and type of exercise changed from M0 to M3 but were not associated with changes in MVPA. CONCLUSION: Findings suggest BCS exercise program preferences may change after an intervention and be associated with changes in MVPA. Understanding the role of PA preferences will better inform the design and success of PA behavior change interventions. ClinicTrials.gov, ClinicalTrials.gov number: NCT00929617.

Relationships between Obesity, Exercise Preferences, and Related Social Cognitive Theory Variables among Breast Cancer Survivors.

Breast cancer survivors with obesity have an increased risk of cancer recurrence, second malignancy, and comorbidities. Though physical activity (PA) interventions are needed, investigation of the relationships between obesity and factors influencing PA program aspects among cancer survivors remain understudied. Thus, we conducted a cross-sectional study examining associations amongst baseline body mass index (BMI), PA program preferences, PA, cardiorespiratory fitness, and related social cognitive theory variables (self-efficacy, exercise barriers interference, social support, positive and negative outcome expectations) from a randomized controlled PA trial with 320 post-treatment breast cancer survivors. BMI was significantly correlated with exercise barriers interference (r = 0.131, p = 0.019). Higher BMI was significantly associated with preference to exercise at a facility (p = 0.038), lower cardiorespiratory fitness (p < 0.001), lower walking self-efficacy (p < 0.001), and higher negative outcome expectations (p = 0.024), independent of covariates (comorbidity score, Western Ontario and McMaster Universities osteoarthritis index score, income, race, education). Those with class I/II obesity reported a higher negative outcome expectations score compared with class III. Location, walking self-efficacy, barriers, negative outcome expectations, and fitness should be considered when designing future PA programs among breast cancer survivors with obesity.

Physical activity intervention benefits persist months post-intervention: randomized trial in breast cancer survivors.

PURPOSE: Determine durable effects of the 3-month Better Exercise Adherence after Treatment for Cancer (BEAT Cancer) physical activity (PA) behavior change intervention 12 months post-baseline (i.e., 9 months after intervention completion). METHODS: This 2-arm multicenter trial randomized 222 post-primary treatment breast cancer survivors to BEAT Cancer (individualized exercise and group education) vs. usual care (written materials). Assessments occurred at baseline, 3, 6, and 12 months, with the 12 months assessment reported here. Measures included PA (accelerometer, self-report), cardiorespiratory fitness, muscle strength, body mass index, Functional Assessment of Cancer Therapy (FACT), SF-36, fatigue, depression, anxiety, satisfaction with life, Pittsburgh Sleep Quality Index (PSQI), lower extremity joint dysfunction, and perceived memory. RESULTS: Adjusted linear mixed-model analyses demonstrated statistically significant month 12 between-group differences favoring BEAT Cancer for weekly minutes of moderate-to-vigorous self-report PA (mean between-group difference (M) = 44; 95% confidence interval (CI) = 12 to 76; p = .001), fitness (M = 1.5 ml/kg/min; CI = 0.4 to 2.6; p = .01), FACT-General (M = 3.5; CI = 0.7 to 6.3; p = .014), FACT-Breast (M = 3.6; CI = 0.1 to 7.1; p = .044), social well-being (M = 1.3; CI = 0.1 to 2.5; p = .037), functional well-being (M = 1.2; CI = 0.2 to 2.3; p = .023), SF-36 vitality (M = 6.1; CI = 1.4 to 10.8; p = .011), fatigue (M = - 0.7; CI = - 1.1 to - 0.2; p = .004), satisfaction with life (M = 1.9; CI = 0.3 to 3.5; p = .019), sleep duration (M = - 0.2; CI = - 0.4 to - 0.03, p = .028), and memory (M = 1.1; CI = 0.2 to 2.1; p = .024). CONCLUSIONS: A 3-month PA intervention resulted in statistically significant and clinically important benefits compared to usual care at 12 months. IMPLICATIONS FOR CANCER SURVIVORS: Three months of individualized and group PA counseling causes benefits detectable 9 months later. TRIAL REGISTRATION: ClinicalTrials.gov NCT00929617 ( https://clinicaltrials.gov/ct2/show/NCT00929617 ; registered June 29, 2009).

Breast Cancer Survivors' Exercise Preferences Change During an Exercise Intervention and are associated with Post-Intervention Physical Activity.

Purpose Exercise program preferences are important for designing physical activity (PA) interventions; yet may change following an intervention. Further, the relationship between preferences and PA behavior change is unclear. This study evaluated exercise program preferences among breast cancer survivors (BCS) before and after a behavioral intervention and associations between program preferences and PA change. Methods BCS were randomized to the BEAT Cancer intervention (n = 110) or written materials (n = 112). Questionnaires assessed exercise program preferences. Minutes per week of moderate-to-vigorous PA (MVPA) were accelerometer-measured and self-reported at baseline (M0), post-intervention (M3), and 3-month follow-up (M6). Results At M0, the majority of intervention group participants preferred exercising with others (62%) yet shifted to preferring exercising alone (59%) at M3 ( p < 0.001). Furthermore, preferring exercising with others at M0 was associated with greater increases in self-reported MVPA between M0 and M6 (124.2 ± 152 vs. 53.1 ± 113.8, p = 0.014). BCS preferring facility-based exercise decreased after the BEAT Cancer intervention (14% vs. 7%, p = 0.039) and preferring exercising at home/had no preference at M0 had greater improvements in accelerometer-measured MVPA from M0 to M3 (74.3 ± 118.8 vs. -2.3 ± 78.4, p = 0.033) and M0 to M6 (44.9 ± 112.8 vs. 9.3 ± 30.4, p = 0.021). Exercise program preferences regarding mode of counseling, training supervision, and type of exercise changed from M0 to M3 but were not associated with changes in MVPA. Conclusion Findings suggest BCS exercise program preferences may change after an intervention and be associated with changes in MVPA. Understanding the role of PA preferences will better inform the design and success of PA behavior change interventions. ClinicTrials.gov, ClinicalTrials.gov number: NCT00929617.

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.

A Mobile App for Stress Management in Middle-Aged Men and Women (Calm): Feasibility Randomized Controlled Trial.

BACKGROUND: Middle-aged adults (40-65 years) report higher stress levels than most other age groups. There is a need to determine the feasibility of using a meditation app to reduce stress and improve stress-related outcomes in middle-aged adults with a focus on men, as previous meditation app-based studies have reported a low proportion of or even no male participants. OBJECTIVE: This study aims to (1) determine the feasibility (ie, acceptability and demand with a focus on men) of a consumer-based meditation app (Calm), to reduce stress among middle-aged adults reporting elevated stress levels, and (2) explore the preliminary effects of Calm on perceived stress, psychological outcomes (anxiety, depressive symptoms, mindfulness, and general coping), health behaviors (physical activity and eating habits), and COVID-19 perceptions. METHODS: This feasibility randomized controlled trial evaluated an app-based meditation intervention in middle-aged adults (N=83) with elevated stress levels (ie, Perceived Stress Scale score ≥15) and limited or no previous experience with meditation. Participants were randomized to the intervention group (Calm app) or a control (educational podcasts; POD) group. Participants completed self-report assessments at baseline and postintervention (week 4). Feasibility was measured as acceptability and demand using Bowen framework. Feasibility and COVID-19 perceptions data were examined using descriptive statistics, and preliminary effects were evaluated using repeated measures analysis of variance. RESULTS: Participants were satisfied with Calm (27/28, 96%) and found it appropriate or useful (26/28, 93%). Most reported they would likely continue using the Calm app (18/28, 64%). More Calm users reported satisfaction, appropriateness or usefulness, and intent to continue app use than POD users. Calm users (n=33) completed a mean of 20 (SD 31.1) minutes of meditation on the days they meditated and 103 (SD 109.1) minutes of meditation per week. The average adherence rate to the prescribed meditation was 71% among Calm app users, compared to 62% among POD users. Recruitment rate of men was 35% (29/83). Of those randomized to Calm, 55% (15/29) were men, and retention among them was higher (14/15, 93%) than that among women (12/20, 60%). No significant within or between group differences were observed. CONCLUSIONS: A 4-week, app-based mindfulness meditation intervention (Calm) may be feasible for middle-aged adults and a useful stress-management tool. Calm users expressed satisfaction with the app and felt it was appropriate and useful. Significant improvements in perceived stress and psychological outcomes or stress-related health behaviors were not observed. Even though men spent less time in meditation than women did and completed fewer weekly sessions, they were more likely to adhere to the prescription. Further research is needed for improving stress and stress-related outcomes among middle-aged adults with emphasis on the effects of mindfulness meditation apps for men. TRIAL REGISTRATION: ClinicalTrials.gov NCT04272138; https://clinicaltrials.gov/ct2/show/NCT04272138.

"It's having something that you've done it for": Applying Self-Determination Theory to participants' motivations in a for-cause physical activity event.

For-cause physical activity events reach many people. Little research has applied Self-Determination Theory to participants' experiences in for-cause physical activity events. This qualitative study explored participants' (n = 18) experiences in 5K for-cause physical activity events and intention to complete future events. Interviews were recorded and transcribed verbatim. Emergent coding assessed responses for themes. Constructs of competence and relatedness were most prevalent and an altruistic desire to support the cause. Participants highlighted feelings of community supporting their intention to complete future events. Overall, experiences aligned with Self-Determination Theory. Future studies may include altruism to understand leveraging opportunities for promoting physical activity.

The Impact of a Telehealth Intervention on Activity Profiles in Older Adults during the COVID-19 Pandemic: A Pilot Study.

BACKGROUND: Physical inactivity during the COVID-19 pandemic is a public health concern for older adults. Telehealth presents a safe platform for conducting health-related interventions that may have additional benefits such as widespread reach. Our pilot study sought to examine how a telehealth intervention changed activity profiles in older adults during the COVID-19 pandemic. METHODS: There were n =13 adults aged 70.6 ± 4.5 years that participated in a 6 week telehealth intervention during the COVID-19 pandemic. The didactic intervention contents were shared online, and participants worked with trained interviewers over the telephone to discuss physical activity. At baseline and post-intervention, the Multimedia Activity Recall for Children and Adults examined activity profiles, while accelerometry estimated time spent sedentary and in physical activity. RESULTS: Relative to the baseline measures, there was an 88 min/day (95% confidence interval (CI): 39, 137) increase in computer time and 36 min/day (CI: 10, 62) reduction in time spent in active transport at post-intervention. Moderate-to-vigorous physical activity participation also increased by an estimated 2 min/day (CI: -21, 26) and 12 min/week (CI: -154, 180), but this trend was not statistically significant. CONCLUSION: We recommend that support be provided to older adults transitioning to telehealth, especially as migration to telehealth progresses.

Provider Discussion about Lifestyle by Cancer History: A Nationally Representative Survey.

BACKGROUND: Providers are uniquely positioned to encourage health-promoting behaviors, particularly among cancer survivors where patients develop trust in providers. METHODS: We utilized the National Health Interview Survey to identify adults who reported a visit to a provider in the prior year (44,385 individuals with no cancer history and 4,792 cancer survivors), and reported prevalence of provider discussions on weight loss, physical activity, diet, and smoking. We used generalized linear mixed models to examine predicted prevalence of provider lifestyle discussions by cancer history overall, and among those who do not meet body mass index (BMI), activity, or smoking guidelines. RESULTS: Among those with a BMI of 25-<60 kg/m2, 9.2% of those with a cancer history and 11.6% of those without a cancer history reported being told to participate in a weight loss program (P < 0.001). Overall, 31.7% of cancer survivors and 35.3% of those with no cancer history were told to increase their physical activity (P < 0.001). Only 27.6% of cancer survivors and 32.2% of those with no cancer history reported having a general discussion of diet (P < 0.001). Among smokers, 67.3% of cancer survivors and 69.9% of those with no cancer history reported counseling on smoking (P = 0.309). CONCLUSIONS: Fewer cancer survivors, who are at increased risk for health complications, are reporting provider discussions about critical lifestyle issues than those with no cancer history. IMPACT: Our nationally representative results suggest that providers are missing an opportunity for influencing patient lifestyle factors, which could lead to mitigation of late and long-term effects of treatment.

The effects of exercise on cancer-related fatigue in breast cancer patients during primary treatment: a meta-analysis and systematic review.

INTRODUCTION: Cancer-related fatigue is one of the most prevalent symptoms reported by breast cancer survivors. Despite a corpus of literature dedicated to understanding and identifying evidence-based treatments for cancer-related fatigue, gaps in the literature remain, particularly for breast cancer survivors during their primary treatment. Exercise training may represent an efficacious behavioral modality for mitigating fatigue symptoms in cancer survivors; yet, the effects of exercise during adjuvant therapy is an understudied area. AREAS COVERED: In this review, we synthesize the most recent evidence of exercise's effects on cancer-related fatigue during active treatment for breast cancer. We summarize the overall effects of exercise, moderators of these effects, and areas requiring further research. EXPERT OPINION: Strong evidence supports at least modest effects of exercise on cancer-related fatigue during breast cancer treatment. However, several knowledge gaps persist, including the need to: risk stratify patients to tailor exercise promotion strategies; implement higher-quality studies and translate this evidence to clinical practice; adopt biobehavioral models to better understand exercise's effects on cancer-related fatigue; evaluate the effects of exercise modes besides aerobic and combined training; and integrate technology to better understand and promote fatigue-reducing behaviors, such as exercise, across cancer care.

Prevalence of Healthy Behaviors among Cancer Survivors in the United States: How Far Have We Come?

BACKGROUND: The 16.9 million cancer survivors in the United States are at increased risk for comorbidities and recurrence. However, this risk may be attenuated by a healthy lifestyle. This study describes health behaviors by cancer history to inform behavior change priorities. METHODS: We analyzed 2013-2017 data from the National Health Interview Survey. There were 164,692 adults, of whom 12,648 reported a cancer history. We calculated prevalence of smoking, physical activity, alcohol consumption, body mass index (BMI), and sleep duration by cancer history, age, and cancer site. We conducted logistic regression to determine odds of meeting lifestyle recommendations by cancer history. RESULTS: Overall, those with a cancer history were less likely to report current smoking (14.1% vs. 16.8%) and moderate/heavy drinking (18.8% vs. 21.9%) than those without a cancer history. However, a lower percentage of cancer survivors met physical activity guidelines (14.2% vs. 21.1%) or reported a healthy BMI (31.6% vs. 34.7%) compared with those without a cancer history. Cancer survivors were more likely to report excessive sleep (6.8% vs. 3.6%). In adjusted logistic regression, survivors were more likely to meet recommendations on smoking, physical activity, and BMI but were less likely to meet alcohol recommendations; meeting sleep recommendations did not differ by cancer history. CONCLUSIONS: While cancer survivors had lower prevalence of smoking and moderate/heavy drinking, they also had lower prevalence of physical activity and healthy BMI, and reported longer sleep duration. Regression analyses suggested survivors only showed poorer behaviors for alcohol. IMPACT: Targeted health promotion interventions among cancer survivors are needed.

Knowledge evaluation instruments for dementia caregiver education programs: A scoping review.

With the increase in our older adult population, there is a need for dementia training for informal and formal dementia caregivers. The objective of this scoping study is to assess dementia knowledge instruments utilized in educational programs and interventions intended for formal and informal dementia caregivers. Scoping review methodology was used to search PubMed, PsycInfo, CINAHL and Web of Science with tailored database search terms. The search yielded 8101 results, with 35 studies meeting inclusion. Studies were conducted in eight countries, had varying study designs (randomized controlled trials [RCTs] = 9, non-RCTs = 6, one-group study design = 20) and utilized previously published (19) and author developed (16) instruments. Furthermore, the studies were internationally diverse, conducted in the United States (n = 18), Australia (n = 7), UK (n = 3), China (n = 2), Canada (n = 2), Taiwan (n = 1), Brazil (n = 1) and multi-country (n = 1). Only two studies focused on minority populations. While author-developed instruments may be more relevant and timesaving, studies should strive to validate instruments or use previously published instruments to help standardize findings across studies and understand better the effects of educational programs on caregiver knowledge. Geriatr Gerontol Int 2020; 20: 397-413.

Influence of sitting behaviors on sleep disturbance and memory impairment in breast cancer survivors.

BACKGROUND: The purpose was to prospectively examine the effects of sedentary behaviors on subjective memory impairment in breast cancer survivors (BCS) and the extent to which sleep disturbances mediated this pathway. METHODS: BCS (N = 380; Mage  = 57.38 ± 9.25 years) completed questionnaires assessing demographics, health history, sitting behaviors, sleep disturbance, subjective memory impairment, and moderate-to-vigorous physical activity (MVPA) at baseline and 6-month follow-up. A subsample (N = 300) wore an accelerometer to objectively estimate sedentary time and MVPA. Structural equation modeling was used to test direct and indirect effects of self-reported and objectively estimated sedentary behaviors on memory impairment (through sleep disturbance) across time. Models were adjusted for demographic, clinical, and MVPA covariates. RESULTS: At baseline, more total daily sitting (γ = 0.23), occupational sitting (γ = 0.11), television viewing (γ = 0.15), and computer use (γ = 0.22) were associated with greater sleep disturbance, which was associated with greater memory impairment (γ = -0.22). Indirect effects of self-reported sitting on memory were significant. At follow-up, increased total daily sitting (γ = 0.08) and computer use (γ = 0.14) predicted increased sleep disturbance, which predicted increased memory impairment (γ = -0.09). The indirect path from increased computer use to memory impairment was significant (ß = -0.01). In the accelerometer subsample, greater daily sedentary time at baseline was associated with less sleep disturbance (γ = -0.14) and memory impairment (indirect effect: ß = 0.03). CONCLUSIONS: Findings provide early evidence that sedentary contexts may differentially influence sleep disturbance and memory impairment in BCS. Computer use and television viewing may pose the strongest risks to cognitive health. Disparate findings between objective and subjective sedentary measures warrant further research.

Weakness and cognitive impairment are independently and jointly associated with functional decline in aging Americans.

BACKGROUND: Discovering how certain health factors contribute to functional declines may help to promote successful aging. AIMS: To determine the independent and joint associations of handgrip strength (HGS) and cognitive function with instrumental activities of daily living (IADL) and activities of daily living (ADL) disability decline in aging Americans. METHODS: Data from 18,391 adults aged 50 years and over who participated in at least one wave of the 2006-2014 waves of the Health and Retirement Study were analyzed. A hand-held dynamometer assessed HGS and cognitive functioning was examined with a modified version of the Telephone Interview of Cognitive Status. IADL and ADL abilities were self-reported. Participants were stratified into four distinct groups based on their HGS and cognitive function status. Separate covariate-adjusted multilevel models were conducted for the analyses. RESULTS: Participants who were weak, had a cognitive impairment, and had both weakness and a cognitive impairment had 1.70 (95% confidence interval (CI) 1.57-1.84), 1.97 (CI 1.74-2.23), and 3.13 (CI 2.73-3.59) greater odds for IADL disability decline, respectively, and 2.26 (CI 2.03-2.51), 1.26 (CI 1.05-1.51), and 4.48 (CI 3.72-5.39) greater odds for ADL disability decline, respectively. DISCUSSION: HGS and cognitive functioning were independently and jointly associated with IADL and ADL disability declines. Individuals with both weakness and cognitive impairment demonstrated substantially higher odds for functional decline than those with either risk factor alone. CONCLUSIONS: Including measures of both HGS and cognitive functioning in routine geriatric assessments may help to identify those at greatest risk for declining functional capacity.