Small Monetary Incentives Lead to Greater Adherence in a Weight Loss Program.

PURPOSE: Understand how weekly monetary incentives for dietary tracking and/or weight loss impact 6-month weight loss behavioral adherence. DESIGN: Secondary analysis of participants randomized to one of four conditions in a behavioral weight loss intervention: incentives for dietary tracking, incentives for weight loss, both, or none. SETTING: Participants were asked to self-weigh at least twice weekly, log food and drink in a mobile application five days weekly, and attend bi-weekly, group-based classes. SAMPLE: Data from (n = 91) adults with obesity who completed a 24-week behavioral weight loss intervention of whom 88% were female and 74% Non-Hispanic White, were analyzed. MEASURES: Non-adherence to weight and dietary self-monitoring was defined as the second week of not meeting criteria. Class attendance was also tracked. ANALYSIS: Kaplan-Meier analyses were used to examine differences across the four conditions. RESULTS: Participants incentivized for dietary self-monitoring had an average 15.8 weeks (SE:1.2) until the first non-adherent week compared to 5.9 weeks (SE:0.8) for those not incentivized for dietary self-monitoring (P < .01). Those incentivized for weight loss had an average 18.0 weeks (SE:1.02) of self-weighing until the first non-adherent week compared to 13.5 weeks (SE:1.3) for those not incentivized for weight loss (P = .02). No difference in class attendance was observed. CONCLUSIONS: Incentivizing behaviors associated with weight loss improved adherence to those behaviors and does not appear to spill over to non-incentivized behaviors.

Patient Perspectives of Barriers and Facilitators for the Uptake of Pharmacogenomic Testing in Veterans Affairs' Pharmacogenomic Testing for the Veterans (PHASER) Program.

We applied implementation science frameworks to identify barriers and facilitators to veterans' acceptance of pharmacogenomic testing (PGx), which was made available as a part of clinical care at 25 VA medical centers. We conducted 30 min interviews with veterans who accepted (n = 14), declined (n = 9), or were contemplating (n = 8) PGx testing. Six team members coded one transcript from each participant group to develop the codebook and finalize definitions. Three team members coded the remaining 28 transcripts and met regularly with the larger team to reach a consensus. The coders generated a matrix of implementation constructs by testing status to identify the similarities and differences between accepters, decliners, and contemplators. All groups understood the PGx testing procedures and possible benefits. In the decision-making, accepters prioritized the potential health benefits of PGx testing, such as reducing side effects or the number of medications. In contrast, decliners prioritized the possibilities of data breach or the negative impact on healthcare insurance or Veterans Affairs benefits. Contemplators desired to speak to a provider to learn more before making a decision. Efforts to improve the clarity of data security and the impact on benefits may improve veterans' abilities to make more informed decisions about whether to undergo PGx testing.

Comparison of weight captured via electronic health record and cellular scales to the gold-standard clinical method.

Introduction: Obtaining body weights remotely could improve feasibility of pragmatic trials. This investigation examined whether weights collected via cellular scale or electronic health record (EHR) correspond to gold standard in-person study weights. Methods: The agreement of paired weight measurements from cellular scales were compared to study scales from a weight loss intervention and EHR-collected weights were compared to study scales from a weight loss maintenance intervention. Differential weight change estimates between intervention and control groups using both pragmatic methods were compared to study collected weight. In the Log2Lose feasibility weight loss trial, in-person weights were collected bi-weekly and compared to weights collected via cellular scales throughout the study period. In the MAINTAIN weight loss maintenance trial, in-person weights were collected at baseline, 14, 26, 42 and 56 weeks. All available weights from the EHR during the study period were obtained. Results: On average, in Log2Lose cellular scale weights were 0.6 kg (95% CI: -2.9, 2.2) lower than in-person weights; in MAINTAIN, EHR weights were 2.8 kg (SE: -0.5, 6.0) higher than in-person weights. Estimated weight change using pragmatic methods and study scales in both studies were in the same direction and of similar magnitude. Conclusion: Both methods can be used as cost-effective and real-world surrogates within a tolerable variability for the gold-standard. Trial registration: NCT02691260; NCT01357551.

Validating a Self-Reported Medication Nonadherence Measure in the Context of Multiple Chronic Diseases and Routes of Medication Administration Among Patients with Type 2 Diabetes.

Introduction: Patients with diabetes may take oral and injectable medications and often have comorbid chronic diseases. It is unclear whether to assess nonadherence for oral and injectable medications separately or combined and for comorbid conditions separately or combined. Research Design and Methods: We conducted two cognitive interview studies among patients with type 2 diabetes who were prescribed medications for oral or injectable diabetes medications (Study 1) or at least one diabetes, blood pressure, and cholesterol medication (Study 2). Participants completed the two-domain DOSE-Nonadherence measure, which assesses extent of nonadherence and reasons for nonadherence. We asked about interpretation of instructions and items, recall period, ability to respond accurately with separate versus combined versions, and comprehensiveness of reasons for nonadherence to injectable medications. Results: Based on Study 1 (n=14), nonadherence to injectable and oral medications should be assessed separately. Participants believe they can respond accurately to 7-day recall period for daily medications and a one-month recall period for weekly injectable medications. New reasons for nonadherence to injectable medications were perceived as relevant. Based on Study 2 (n-12), nonadherence to medications for diabetes, blood pressure, and cholesterol should be assessed separately. Conclusion: Although separate versions increase response time, it may improve accuracy. Responses to the measure can facilitate conversations about nonadherence between providers and patients to inform clinical decision-making.

A Method to Deliver Automated and Tailored Intervention Content: 24-month Clinical Trial.

BACKGROUND: The use of digital technologies and software allows for new opportunities to communicate and engage with research participants over time. When software is coupled with automation, we can engage with research participants in a reliable and affordable manner. Research Electronic Data Capture (REDCap), a browser-based software, has the capability to send automated text messages. This feature can be used to automate delivery of tailored intervention content to research participants in interventions, offering the potential to reduce costs and improve accessibility and scalability. OBJECTIVE: This study aimed to describe the development and use of 2 REDCap databases to deliver automated intervention content and communication to index participants and their partners (dyads) in a 2-arm, 24-month weight management trial, Partner2Lose. METHODS: Partner2Lose randomized individuals with overweight or obesity and cohabitating with a partner to a weight management intervention alone or with their partner. Two databases were developed to correspond to 2 study phases: one for weight loss initiation and one for weight loss maintenance and reminders. The weight loss initiation database was programmed to send participants (in both arms) and their partners (partner-assisted arm) tailored text messages during months 1-6 of the intervention to reinforce class content and support goal achievement. The weight maintenance and reminder database was programmed to send maintenance-related text messages to each participant (both arms) and their partners (partner-assisted arm) during months 7-18. It was also programmed to send text messages to all participants and partners over the course of the 24-month trial to remind them of group classes, dietary recall and physical activity tracking for assessments, and measurement visits. All text messages were delivered via Twilio and were unidirectional. RESULTS: Five cohorts, comprising 231 couples, were consented and randomized in the Partner2Lose trial. The databases will send 53,518 automated, tailored text messages during the trial, significantly reducing the need for staff to send and manage intervention content over 24 months. The cost of text messaging will be approximately US $450. Thus far, there is a 0.004% known error rate in text message delivery. CONCLUSIONS: Our trial automated the delivery of tailored intervention content and communication using REDCap. The approach described provides a framework that can be used in future behavioral health interventions to create an accessible, reliable, and affordable method for intervention delivery and engagement that requires minimal trial-specific resources and personnel time. TRIAL REGISTRATION: ClinicalTrials.gov NCT03801174; https://clinicaltrials.gov/ct2/show/NCT03801174?term=NCT03801174.

Correlates of Early Prenatal Care Access among U.S. Women: Data from the Pregnancy Risk Assessment Monitoring System (PRAMS).

OBJECTIVES: Early first trimester prenatal counseling could reduce adverse maternal and child health outcomes. Existing literature does not identify the length of time between suspecting pregnancy and attending their first prenatal visit. Identifying this potential window for change is critical for clinical practice, intervention programming and policy change. METHODS: The study sample was composed of women in the United States who responded to the Pregnancy Risk Assessment Monitoring Systems survey in 2016, for the following questions-when they first suspected pregnancy, when they attended their first prenatal visit, were they able to receive prenatal care as early as they wished, and perceived barriers to receiving prenatal care. RESULTS: On average, participants became certain they were pregnant at 6.0 (SE = 0.1) weeks gestation, while participants reported having their first prenatal care visit at 9.3 (SE = 0.1) weeks, with clear health disparities by race, age, WIC participation, education level, and marital status. About 15% of women reported not receiving prenatal care as early as they wished. Structural or financial barriers in the health care system were common: 38.1% reported that no appointments available, 28.2% reported not having money or insurance to pay for the visit, 27.3% reported that the doctor or health plan would not start care, and 22.5% reported not having a Medicaid card. CONCLUSIONS FOR PRACTICE: This study illustrates a window for opportunity to provide earlier prenatal care, which would facilitate earlier implementation of prenatal counseling. Strategies to address barriers to care on the patient, provider and systemic levels, particularly among vulnerable population groups, are warranted. WHAT IS ALREADY KNOWN ON THIS SUBJECT?: Seeking prenatal care early is associated with better health outcomes for women and infants. A window of opportunity exists between suspecting pregnancy and attending a first prenatal visit. WHAT THIS STUDY ADDS?: Clear health disparities were apparent in both recognizing their pregnancies, and receiving early prenatal care by race, age, WIC participation, education level, and marital status. About 15% of women reported not receiving prenatal care as early as they wished, and many attributed this later care to structural or financial barriers in the health care system.

Social cognitive variables and physical activity during chemotherapy for breast cancer: An intensive longitudinal examination.

OBJECTIVE: Although physical activity is associated with better health outcomes in breast cancer survivors (BCS), activity often declines during cancer treatment. Social cognitive theory (SCT) constructs have been associated with physical activity in post-treatment BCS, but little is known about the relation between these constructs and physical activity during chemotherapy. METHODS: BCS (n = 67; Mage  = 48.6 [SD = 10.3]) undergoing chemotherapy wore accelerometers and completed prompts in the morning and at night assessing same-day and next-day exercise self-efficacy, physical and psychological outcome expectations, and goal-setting for 10 consecutive days (3 days pre-, day of, and 6 days post-chemotherapy dose) at three time points (beginning, middle, and end of chemotherapy). Separate mixed models assessed between- and within-person associations of each of the SCT constructs associations with same- and next-day moderate to vigorous physical activity (MVPA) and light physical activity (LPA), independently. RESULTS: Within-person differences in all SCT variables were statistically significantly related to same-day MVPA (p's < 0.001) and LPA (p's < 0.001). Every one-point increase in SCT construct related to an increase in MVPA ranging from (a) 3.70 (self-efficacy) to 8.02 (physical outcome expectations) minute increase in MVPA and (b) 12.72 (self-efficacy) to 20.38 (physical outcome expectations) increase in LPA that day. No same-day between-person effects nor any next-day effects were significant. CONCLUSION: MVPA and LPA were related to same-day within-person differences in SCT variables. Interventions targeted at increasing or mitigating chemotherapy-related declines in daily within-person changes in SCT constructs could help to increase physical activity among BCS during chemotherapy.

User-centered development of a smartphone application (Fit2Thrive) to promote physical activity in breast cancer survivors.

Increased moderate and vigorous physical activity (MVPA) is associated with better health outcomes in breast cancer survivors; yet, most are insufficiently active. Smartphone applications (apps) to promote MVPA have high scalability potential, but few evidence-based apps exist. The purpose is to describe the testing and usability of Fit2Thrive, a MVPA promotion app for breast cancer survivors. A user-centered, iterative design process was utilized on three independent groups of participants. Two groups of breast cancer survivors (group 1 n = 8; group 2: n = 14) performed app usability field testing by interacting with the app for ≥3 days in a free-living environment. App refinements occurred following each field test. The Post-Study System Usability Questionnaire (PSSUQ) and the User Version Mobile Application Rating Scale (uMARS) assessed app usability and quality on a 7- and 5-point scale, respectively, and women provided qualitative written feedback. A third group (n = 15) rated potential app notification content. Quantitative data were analyzed using descriptive statistics. Qualitative data were analyzed using a directed content analysis. The PSSUQ app usability score (M1= 3.8; SD = 1.4 vs. M2= 3.2; SD = 1.1; lower scores are better) and uMARS app quality score (M1 = 3.4; SD = 1.3 vs. M2= 3.4; SD = 0.6; higher scores are better) appeared to improve in Field Test 2. Group 1 participants identified app "clunkiness," whereas group 2 participants identified issues with error messaging/functionality. Group 3 "liked" 53% of the self-monitoring, 71% of the entry reminder, 60% of the motivational, and 70% of the goal accomplishment notifications. Breast cancer survivors indicated that the Fit2Thrive app was acceptable and participants were able to use the app. Future work will test the efficacy of this app to increase MVPA.

Evaluation of the Veterans Affairs Pharmacogenomic Testing for Veterans (PHASER) clinical program at initial test sites.

Aim: The first Plan-Do-Study-Act cycle for the Veterans Affairs Pharmacogenomic Testing for Veterans pharmacogenomic clinical testing program is described. Materials & methods: Surveys evaluating implementation resources and processes were distributed to implementation teams, providers, laboratory and health informatics staff. Survey responses were mapped to the Consolidated Framework for Implementation Research constructs to identify implementation barriers. The Expert Recommendation for Implementing Change strategies were used to address implementation barriers. Results: Survey response rate was 23-73% across personnel groups at six Veterans Affairs sites. Nine Consolidated Framework for Implementation Research constructs were most salient implementation barriers. Program revisions addressed these barriers using the Expert Recommendation for Implementing Change strategies related to three domains. Conclusion: Beyond providing free pharmacogenomic testing, additional implementation barriers need to be addressed for improved program uptake.

Behavioural interventions for CVD risk reduction for blue-collar workers: a systematic review.

OBJECTIVES: Individuals working in blue-collar occupations experience high rates of cardiovascular disease (CVD). The purpose of this systematic review is to describe the characteristics and efficacy of behavioural interventions that have targeted CVD risk factors in this high-risk group. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched seven databases to find interventions focused on changing the following: blood pressure, cholesterol, diet, physical activity, smoking or weight. Eligible studies tested a behavioural intervention (not exclusively policy, environmental, or pharmaceutical), in individuals working in blue-collar occupations using a randomised study design. Study quality was evaluated using the National Heart, Lung, and Blood Institute's study quality assessment tool. RESULTS: 22 studies evaluating 31 interventions were included: 11 were rated as 'good' or 'fair' quality. Intervention intensity ranged from a single contact via a mailed letter to studies that included individual-level contacts at multiple time points between staff and participants. Studies that included at least some individual contact generally yielded the greatest effects. Interventions had the greatest observed effects on self-report changes in diet, regardless of intervention intensity. Four of the five higher quality studies that explicitly tailored the intervention to the occupational group were successful at reducing at least one risk factor. CONCLUSIONS: Interventions that used individual contact and tailored the intervention to the occupational setting yielded the greatest effects on CVD risk-factor reduction in individuals working in blue-collar occupations. Generally, studies were low quality but showed promising effects for reaching this high-risk population. Future work should incorporate these promising findings in higher quality studies. PROSPERO REGISTRATION NUMBER: CRD42019136183.

Two-year weight trajectories following completion of a behavioral weight loss maintenance intervention.

INTRODUCTION: Long-term effects of behavioral weight loss maintenance interventions need to be assessed in order to understand their durability of effects. This can be evaluated with the use of weights recorded in the electronic medical record. The goal of this study was to use electronic health record (EHR)-recorded weight to examine outcomes 2 years beyond the completion of a trial in which participants were randomized to receive a weight maintenance intervention or usual care after required initial weight loss. METHODS: Weights collected in the Veteran's Affairs national EHR were obtained for 2 years following trial completion. Outliers and implausible weights were identified and removed prior to analysis. Mixed-effects models with quadratic time were fit to estimate between-arm differences in weight change. RESULTS: Model-estimated weight at trial completion was 109.7 kg for usual care and 106.8 kg for intervention, estimated difference of -2.9 kg (95% confidence interval [CI]: -8.8, 3.0; p = 0.34). Two years later, estimated mean weight collected from (n = 211) participants with available EMR weights was 111.5 kg for usual care and 108.0 kg for intervention, estimated difference -3.4 kg (95% CI: -9.3, 2.4 kg; p = 0.35). CONCLUSIONS: While not statistically significant, weights from the EHR suggest the possibility of a clinically meaningful difference that should be confirmed by future adequately powered studies.

Characterizing Self-Monitoring Behavior and Its Association With Physical Activity and Weight Loss Maintenance.

Introduction: Reviewing gaps in self-monitoring during weight loss interventions may help identify individuals demonstrating signs of disengagement in behaviors, including moderate to vigorous physical activity (MVPA), associated with weight loss maintenance. This study examined the associations of different aspects of self-monitoring during a weight loss intervention with 24-month MVPA and weight. Methods: Secondary data analysis from the Tracking Study, a trial comparing weight-tracking frequency during a lifestyle weight loss program, was conducted. Self-monitoring logs from n =339 participants were used to define 4 characteristics and 4 specific gap lengths: short (1-4 weeks), medium (5-8 weeks), long (9-12 weeks), and extra long (>12 weeks). Self-reported MVPA and staff-measured weight were measured at baseline, 6, 12, 18, and 24 months. Generalized estimating equation modeling examined the association between self-monitoring characteristics and reported MVPA and weight. Results: Participants with gaps in self-monitoring as early as the second week of the intervention reported less MVPA and weighed more at 24 months. Furthermore, consistent tracking of MVPA was associated with higher reported MVPA and lower weight. Conclusions: Behavior tracking provides important information about behavioral disengagement early in the intervention process. Future work should test intervention augmentations to improve behavior change when disengagement is detected.

Obesity Status on associations between cancer-related beliefs and health behaviors in cancer survivors: Implications for patient-clinician communication.

OBJECTIVE: Associations between cancer beliefs and health behavior engagement are largely unexplored in cancer survivors, particularly among those with overweight and obesity. We investigated belief-behavior associations for cancer survivors, and whether obesity altered these associations. METHODS: Cancer survivors were identified from the National Cancer Institute HINTS Survey 5 data and classified as having had an obesity-related cancer or not. Linear and multiple logistic regression analyses examined whether cancer risk beliefs and self-efficacy predicted dining out behaviors and physical activity (PA). Restricted analyses were conducted in those with overweight or obesity. RESULTS: Low self-efficacy to take care of one's health was associated with longer sitting time in the overall sample (p = 0.04). In cancer survivors with overweight or obesity, engagement in healthier behaviors was associated with 1) feeling less overwhelmed by cancer risk recommendations and 2) believing that PA or obesity influences cancer development (both p < 0.05). Among those with overweight and obesity, associations between cancer beliefs and health behaviors were not significantly different by cancer type (obesity-related vs. not). CONCLUSIONS: Obesity altered associations between cancer risk beliefs and health behavior engagement from the overall sample. PRACTICE IMPLICATIONS: Weight status may be a useful tailoring factor when delivering health-promoting interventions for cancer survivors.

Daily Physical Activity and Symptom Reporting in Breast Cancer Patients Undergoing Chemotherapy: An Intensive Longitudinal Examination.

BACKGROUND: Increased activity is beneficial during chemotherapy, but treatment-related symptoms may be a barrier. This study examines the relationship between daily fluctuations in symptoms and activity during chemotherapy. METHODS: Women undergoing chemotherapy for breast cancer [n = 67; M age = 48.6 (SD = 10.3)] wore an accelerometer 24 hours/day and received four text prompts/day to rate symptoms for 10 consecutive days at the beginning, middle, and end of chemotherapy. Mixed-effects models were used to examine the between and within-person relationships between symptom ratings on a given day and moderate to vigorous physical activity (MVPA) and light physical activity (LPA) on that day and the following day controlling for relevant covariates and using the Bonferroni correction for multiple comparisons. RESULTS: For MVPA and LPA, within-person associations were statistically significant for same day affect, fatigue, pain, walking, activities of daily living (ADL) physical function, and cognitive function. Previous day anxiety was associated with next day LPA. Every one point worse symptom rating than an individual's overall average was associated with: (i) between 1.49 (pain) and 4.94 (fatigue) minutes less MVPA and between 4.48 (pain) and 24.72 (ADL physical function) minutes less LPA that day, and (ii) 11.28 minutes less LPA the next day. No between-person effects were significant for MVPA or LPA. CONCLUSIONS: Daily within-person variations in symptoms were associated with MVPA and LPA during chemotherapy for breast cancer. IMPACT: Future work should explore relationships between symptoms and activity further and identify whether tailoring to symptoms enhances efficacy of physical activity promotion interventions during chemotherapy.

Protocol for Partner2Lose: A randomized controlled trial to evaluate partner involvement on long-term weight loss.

BACKGROUND: Behavioral interventions produce clinically significant weight reduction, with many participants regaining weight subsequently. Most interventions focus on an individual, but dietary and physical activity behaviors occur with, or are influenced by, domestic partners. According to interdependence theory, couples who approach behavior change as a problem to be tackled together versus independently are more likely to utilize communal coping processes to promote behavior change. We utilized interdependence theory to develop a partner-assisted intervention to increase long-term weight loss. METHODS: Community-dwelling individuals (index participants) cohabitating with a partner with 1) overweight and at least one obesity-related comorbidity or 2) obesity are randomized to participate in a standard weight management program alone or with their partner. The weight management program involves biweekly, in-person, group sessions focusing on weight loss for six months, followed by three group sessions and nine telephone calls focusing on weight loss maintenance for twelve months. In the partner-assisted arm, partners participate in half of the group sessions and telephone calls. Couples receive training in principles of cognitive behavioral therapy for couples, including sharing thoughts and feelings and joint problem solving, to increase communal coping. The primary outcome is participant weight loss at 24 months, with caloric intake and moderate-intensity physical activity as secondary outcomes. Partner weight and caloric intake will also be analyzed. Mediation analyses will examine the role of interdependence variables and social support. DISCUSSION: This trial will provide knowledge about effective ways to promote long-term weight loss and the role of interdependence constructs in weight loss. Clinical trials identifier: NCT03801174.

Breast cancer survivors' preferences for social support features in technology-supported physical activity interventions: findings from a mixed methods evaluation.

Incorporating peer and professional social support features into remotely delivered, technology-supported physical activity interventions may increase their effectiveness. However, very little is known about survivors' preferences for potential social features. This study explored breast cancer survivors' preferences for both traditional (e.g., coaching calls and peer support) and innovative (i.e., message boards and competitions) social support features within remotely delivered, technology-supported physical activity interventions. Survivors [N = 96; Mage = 55.8 (SD = 10.2)] self-reported demographic and disease characteristics and physical activity. A subset (n = 28) completed semistructured phone interviews. Transcribed interviews were evaluated using a thematic content analysis approach and consensus review. Following interviews, the full sample self-reported preferences for social features for remotely delivered physical activity interventions via online questionnaires. Questionnaire data were analyzed using descriptive statistics. Four themes emerged from interview data: (a) technology increases social connectedness; (b) interest in professional involvement/support; (c) connecting with similar survivors; and (d) apprehension regarding competitive social features. Quantitative data indicated that most survivors were interested in social features including a coach (77.1 per cent), team (66.7 per cent), and exercise buddy (57.3 per cent). Survivors endorsed sharing their activity data with their team (80.0 per cent) and buddy (76.6 per cent), but opinions were mixed regarding a progress board ranking their activity in relation to other participants' progress. Survivors were interested in using a message board to share strategies to increase activity (74.5 per cent) and motivational comments (73.4 per cent). Social features are of overall interest to breast cancer survivors, yet preferences for specific social support features varied. Engaging survivors in developing and implementing remotely delivered, technology-supported social features may enhance their effectiveness.

Preferences for mHealth physical activity interventions during chemotherapy for breast cancer: a qualitative evaluation.

PURPOSE: Physical activity has been shown to decline over the course of chemotherapy in breast cancer survivors; yet it may reduce treatment-related side effects and emerging evidence indicates it may improve disease outcomes. Mobile health (mHealth) interventions may be an effective, scalable strategy to increase physical activity during treatment. However, little is known about breast cancer patients' interests and preferences for these interventions. It is important to understand patients' interests and preferences prior to development of mHealth physical activity interventions to increase their relevance and efficacy. METHODS: Breast cancer survivors (n = 30) participated in a semi-structured phone interview and were asked about barriers and facilitators to physical activity during chemotherapy as well as their preferences on a range of potential mHealth intervention features. Transcribed interviews were coded and key themes were analyzed using an iterative, inductive approach. RESULTS: Five key themes were extracted from the interviews: (1) need for education about physical activity during chemotherapy; (2) treatment side effects inhibit physical activity; (3) a structured, home-based, tech-supported program with in-person elements is most feasible; (4) need for a personalized, highly tailored intervention; and (5) importance of social support from other breast cancer survivors, friends, and family. CONCLUSIONS: Breast cancer survivors are interested in mHealth physical activity interventions during chemotherapy, but preferences for intervention content and delivery varied. Future work should engage patients and survivors in intervention development and testing.

Effects of reallocating sedentary time with physical activity on quality of life indicators in breast cancer survivors.

OBJECTIVES: Physical activity is associated with better quality of life (QOL) among breast cancer survivors. However, it is unknown the extent to which time spent sedentary or replacing this time with active behaviors may affect QOL. Our aim was to determine the effect of substituting time between sedentary and active behaviors on QOL indicators in breast cancer survivors. METHODS: An isotemporal substitution approach was used to examine the associations of reallocating time to sedentary and active behaviors measured by accelerometry with Functional Assessment of Cancer Treatment-Breast (FACT-B; total, physical, social, emotional, functional well-being, and breast cancer-specific concerns) and the Hospital Anxiety and Depression Scale (HADS) scores in a pooled analysis of breast cancer survivors (n = 753; Mage  = 56.9 ± 9.5 y) from two observational studies. RESULTS: Reallocating 30 minutes of sedentary time to 30 minutes of moderate-to-vigorous intensity physical activity (MVPA) was associated with improved FACT-B total (B = 3.0; 95% CI, 0.6-4.5), physical well-being (B = 0.8; 95% CI, 0.33-1.2), and functional well-being (B = 0.6; 95% CI, 0.03-1.2) scores. Reallocating 30 minutes of light activity to 30 minutes of MVPA was associated with improved FACT-B total (B = 2.4; 95% CI, 0.3-6.0) and physical well-being (B = 0.72; 95% CI, 0.27-1.2) scores. There was no significant substitution of time effects on HADS scores. CONCLUSIONS: Substituting sedentary time with MVPA showed the greatest range of effects across QOL indicators. These results can inform intervention development interventions and more comprehensive activity recommendations for breast cancer survivors.

Sedentary behavior after breast cancer: motivational, demographic, disease, and health status correlates of sitting time in breast cancer survivors.

PURPOSE: Sedentary behavior is associated with poor health outcomes including obesity, lower quality of life, and mortality in breast cancer survivors. This study sought to identify motivational, demographic, and disease characteristics of breast cancer survivors who engage in greater amounts of sedentary behavior. METHODS: Multivariate linear regression models estimated associations between demographic, disease, and health characteristics with reported sitting in breast cancer survivors (n = 279; Mage = 60.7 (± 9.7) years). Regression models estimated associations between motivational factors and reported sitting adjusted for demographic and disease and health covariates. RESULTS: Working at least part-time and marital status were associated various sitting domains including weekday and non-leisure sitting. Higher BMI was associated with more average daily, weekend, and weekday sitting. High income was additionally associated with less non-leisure sitting. The belief that sedentary behavior is bad for health, physical function, and self-evaluative OE, and lifestyle self-efficacy were associated with multiple sitting domains in both univariate and covariate-adjusted models. CONCLUSIONS: Future work should examine the relationships between motivational, demographic, and disease predictors and objectively measured sedentary behavior over time and across different sedentary behavior domains. Understanding activity changes during and after treatment is needed to identify intervention targets and develop effective interventions.

Breast cancer survivors' preferences for mHealth physical activity interventions: findings from a mixed methods study.

PURPOSE: Despite the benefits of physical activity for breast cancer survivors, the majority remain insufficiently active. Mobile health (mHealth) physical activity interventions may be a more scalable strategy to increase activity among survivors. However, little is known about their preferences for mHealth intervention features. This study explored survivors' preferences for these features. METHODS: Survivors (N = 96; Mage = 55.8 (SD = 10.2)) self-reported demographic and disease characteristics, physical activity. A subset (n = 28) completed a semi-structured phone interview. Transcribed interviews were evaluated using a thematic content analysis approach and consensus review. Following interviews, the full sample self-reported interests and preferences for intervention features via online questionnaires. Quantitative data were analyzed using descriptive statistics. RESULTS: Five themes emerged from interview data: (1) importance of relevance to breast cancer survivors; (2) easy to use; (3) integration with wearable activity trackers; (4) provide sense of accomplishment; and (5) variability in desired level of structure and personalization. The highest ranked intervention features were: daily and weekly progress feedback (87.5%), newsfeed (86.6%), activity challenges (81.3%), and scheduling tool (79.2%). Survivors were interested in receiving progress feedback (80.2%) and motivational (78.1%) and reminder (75.0%) messages. CONCLUSIONS: Breast cancer survivors are interested in mHealth physical activity promotion interventions, but preferences varied around themes of relevance, ease of use, and enhancing personal motivation. IMPLICATIONS FOR CANCER SURVIVORS: Engaging survivors in developing and implementing remotely delivered mHealth activity promotion interventions may enhance their effectiveness.