Purpose

Many prostate cancer survivors experience compromised health-related quality of life (HRQOL) as a result of prostate cancer. We examined relationships between types and intensities of activity and sedentary behavior and prostate cancer-related HRQOL, overall, and by demographic, disease, and treatment characteristics.

Methods

Associations between post-diagnosis activity and sedentary behavior and HRQOL domains (urinary incontinence, urinary irritation/obstruction, bowel, sexual, and vitality/hormonal) were prospectively examined in men diagnosed with non-metastatic prostate cancer in the Health Professionals Follow-up Study (n = 1917) using generalized linear models.

Results

After adjusting for potential confounders, higher duration of total, non-vigorous, and walking activity was associated with higher vitality/hormonal functioning scores (p-trends, <0.0001). Effects were small (d = 0.16-0.20) but approached clinical significance for men in the highest vs. lowest activity categories. Survivors who walked ≥ 90 min/week at a normal pace, or faster, reported higher hormone/vitality scores (p = 0.001) than men walking <90 min at an easy pace. Weightlifting was associated with increased urinary incontinence (p-trend, 0.02). Total activity was associated with higher hormone/vitality functioning in men who were ≥ 5 years post-treatment, had more advanced disease (Gleason score ≥ 7), and had ≥ 1 comorbid condition. No relationships were observed between vigorous activity or sedentary behavior and HRQOL.

Conclusions

Increased duration of non-vigorous activity and walking post-diagnosis was positively associated with better hormone/vitality functioning. Specifically, engaging in ≥ 5 h of non-vigorous activity or ≥ 3 h of walking per week may be beneficial.

Implications for cancer survivors

Encouraging men to engage in non-vigorous activity and walking may be helpful for managing prostate cancer-related HRQOL.

BACKGROUND: Colorectal cancer (CRC) is the 2nd leading cause of cancer death in the United States. The American Cancer Society (ACS) Nutrition and Physical Activity Guidelines are associated with longer survival among CRC survivors, but few report behaviors consistent with the guidelines. METHODS: The Tools To Be Fit study, based on the Multiphase Optimization Strategy (MOST) framework, is a full factorial experimental to optimize a remotely delivered 48-week diet and physical activity intervention for non-metastatic CRC survivors. The intervention includes a core component (booklet and personal report). CRC survivors (N = 400) are additionally randomly assigned to one of 16 combinations of four candidate components, each with 2 options: 1) text messaging (on/off); 2) self-monitoring modality (digital/paper); 3) health coaching (on/off); and 4) support person coaching (on/off). OUTCOMES: Our primary outcome is adherence to the ACS guidelines after 48 weeks using a score that includes physical activity from accelerometers, dietary intake from a food frequency questionnaire, and body mass index (BMI) measured by a technician. Secondary outcomes include the ACS score after 24 weeks and score components at 24 and 48 weeks. Exploratory outcomes include adherence and change in Social Cognitive Theory constructs. We will explore moderation by sociodemographic, clinical, and psychological/behavioral factors; and change in the ACS score in relation to change in levels of insulin, insulin sensitivity, inflammation, gut microbiome structure, fatigue, depression, and sleep disturbance. DISCUSSION: The proposed study aims to inform a randomized controlled trial to determine whether an optimized intervention reduces risk of recurrence among CRC survivors.

Purpose

To describe the frequency and patient-reported readiness to change, desire to discuss, and perceived importance of 13 health risk factors in a diverse range of primary care practices.

Methods

Patients (n = 1,707) in 9 primary care practices in the My Own Health Report (MOHR) trial reported general, behavioral, and psychosocial risk factors (body mass index [BMI], health status, diet, physical activity, sleep, drug use, stress, anxiety or worry, and depression). We classified responses as "at risk" or "healthy" for each factor, and patients indicated their readiness to change and/or desire to discuss identified risk factors with providers. Patients also selected 1 of the factors they were ready to change as most important. We then calculated frequencies within and across these factors and examined variation by patient characteristics and across practices.

Results

On average, patients had 5.8 (SD = 2.12; range, 0-13) unhealthy behaviors and mental health risk factors. About 55% of patients had more than 6 risk factors. On average, patients wanted to change 1.2 and discuss 0.7 risks. The most common risks were inadequate fruit/vegetable consumption (84.5%) and overweight/obesity (79.6%). Patients were most ready to change BMI (33.3%) and depression (30.7%), and most wanted to discuss depression (41.9%) and anxiety or worry (35.2%). Overall, patients rated health status as most important.

Conclusions

Implementing routine comprehensive health risk assessments in primary care will likely identify a high number of behavioral and psychosocial health risks. By soliciting patient priorities, providers and patients can better manage counseling and behavior change.

Patient-centered health risk assessments (HRAs) that screen for unhealthy behaviors, prioritize concerns, and provide feedback may improve counseling, goal setting, and health. To evaluate the effectiveness of routinely administering a patient-centered HRA, My Own Health Report, for diet, exercise, smoking, alcohol, drug use, stress, depression, anxiety, and sleep, 18 primary care practices were randomized to ask patients to complete My Own Health Report (MOHR) before an office visit (intervention) or continue usual care (control). Intervention practice patients were more likely than control practice patients to be asked about each of eight risks (range of differences 5.3-15.8 %, p < 0.001), set goals for six risks (range of differences 3.8-16.6 %, p < 0.01), and improve five risks (range of differences 5.4-13.6 %, p < 0.01). Compared to controls, intervention patients felt clinicians cared more for them and showed more interest in their concerns. Patient-centered health risk assessments improve screening and goal setting.Trial RegistrationClinicaltrials.gov identifier: NCT01825746.

Abstract Background There is a pressing need for greater attention to patient-centered health behavior and psychosocial issues in primary care, and for practical tools, study designs and results of clinical and policy relevance. Our goal is to design a scientifically rigorous and valid pragmatic trial to test whether primary care practices can systematically implement the collection of patient-reported information and provide patients needed advice, goal setting, and counseling in response. Methods This manuscript reports on the iterative design of the My Own Health Report (MOHR) study, a cluster randomized delayed intervention trial. Nine pairs of diverse primary care practices will be randomized to early or delayed intervention four months later. The intervention consists of fielding the MOHR assessment – addresses 10 domains of health behaviors and psychosocial issues – and subsequent provision of needed counseling and support for patients presenting for wellness or chronic care. As a pragmatic participatory trial, stakeholder groups including practice partners and patients have been engaged throughout the study design to account for local resources and characteristics. Participatory tasks include identifying MOHR assessment content, refining the study design, providing input on outcomes measures, and designing the implementation workflow. Study outcomes include the intervention reach (percent of patients offered and completing the MOHR assessment), effectiveness (patients reporting being asked about topics, setting change goals, and receiving assistance in early versus delayed intervention practices), contextual factors influencing outcomes, and intervention costs. Discussion The MOHR study shows how a participatory design can be used to promote the consistent collection and use of patient-reported health behavior and psychosocial assessments in a broad range of primary care settings. While pragmatic in nature, the study design will allow valid comparisons to answer the posed research question, and findings will be broadly generalizable to a range of primary care settings. Per the pragmatic explanatory continuum indicator summary (PRECIS) framework, the study design is substantially more pragmatic than other published trials. The methods and findings should be of interest to researchers, practitioners, and policy makers attempting to make healthcare more patient-centered and relevant. Trial registration Clinicaltrials.gov: NCT01825746

Behavioral and mental health risk factors are prevalent among primary care patients and contribute substantially to premature morbidity and mortality and increased health care utilization and costs. Although prior studies have found most adults screen positive for multiple risk factors, limited research has attempted to identify factors that most commonly co-occur, which may guide future interventions. The purpose of this study was to identify subgroups of primary care patients with co-occurring risk factors and to examine sociodemographic characteristics associated with these subgroups. We assessed 12 behavioral health risk factors in a sample of adults (n=1628) receiving care from nine primary care practices across six U.S. states in 2013. Using latent class analysis, we identified four distinct patient subgroups: a 'Mental Health Risk' class (prevalence=14%; low physical activity, high stress, depressive symptoms, anxiety, and sleepiness), a 'Substance Use Risk' class (29%; highest tobacco, drug, alcohol use), a 'Dietary Risk' class (29%; high BMI, poor diet), and a 'Lower Risk' class (27%). Compared to the Lower Risk class, patients in the Mental Health Risk class were younger and less likely to be Latino/Hispanic, married, college educated, or employed. Patients in the Substance Use class tended to be younger, male, African American, unmarried, and less educated. African Americans were over 7 times more likely to be in the Dietary Risk versus Lower Risk class (OR 7.7, 95% CI 4.0-14.8). Given the heavy burden of behavioral health issues in primary care, efficiently addressing co-occurring risk factors in this setting is critical.