A Web-based Lifestyle Intervention for Cancer Survivors: Feasibility and Acceptability of SurvivorSHINE.

Assess the feasibility, acceptability, and preliminary efficacy of a healthy lifestyle website, SurvivorSHINE ( www.survivorshine.org ), for cancer survivors using a mixed-methods approach. Formative research included a comprehensive literature review and four focus groups on website preferences with diagnosis-diverse cancer survivors (N = 17). Their feedback informed a web adaptation of a telephone counseling and mailed-print lifestyle intervention previously found effective for cancer survivors. The resulting web-based intervention was examined in a 3-week, single-arm trial among 41 cancer survivors. Assessments of physical activity, diet, body weight, and knowledge related to exercise and diet guidelines for cancer survivors occurred at baseline and 3 weeks later, along with exit interviews. Themes from focus groups indicated cancer survivors' desire for easy-to-use, interactive web-based platforms to access credible diet and exercise information. The study sample was recruited within 12 months, and study retention was high (85.4%). Participants showed significant pre- to post-test improvements in diet and exercise knowledge (t = 5.31, p < .0001) and physical activity (t = 2.40, p = .02). Improvements in body weight and some dietary components (red meat, alcohol) were observed, but did not reach statistical significance. Results support the feasibility and acceptability of SurvivorSHINE. The significant increases in healthy lifestyle knowledge and physical activity found in the current study are promising, but a larger, randomized-controlled trial is needed to determine efficacy.

Social predictors of daily relations between college women's physical activity intentions and behavior.

Women perform less physical activity (PA) than men, and this gap widens during college. This study examined college women's daily PA intentions and behavior, and whether social support or social comparison orientation (SCO) moderated the PA intention-behavior relation. College women (N = 80) completed measures of social support and SCO at baseline. For seven consecutive days, participants completed an electronic survey to assess PA intentions and wore an activity monitor to assess minutes of moderate-to-vigorous intensity physical activity (MVPA). Results indicated that intended and performed MVPA minutes were weakly related (p = 0.17, sr = 0.16). Social support did not moderate the intention-behavior relation, but SCO did (p = 0.04, sr = 0.21). Participants with stronger (vs. weaker) SCO, particularly a tendency to compare downward (i.e., to worse-off others), showed smaller discrepancies between intended and completed MVPA. College women frequently fail to achieve PA goals, but stronger tendencies to make (downward) social comparisons may minimize this gap and be a target for intervention.

Development and Initial Testing of a Personalized, Adaptive, and Socially Focused Web Tool to Support Physical Activity Among Women in Midlife: Multidisciplinary and User-Centered Design Approach.

BACKGROUND: Women in midlife are vulnerable to developing cardiovascular disease, particularly those who have conditions such as hypertension. Physical activity (PA) can reduce risk, but efforts to promote PA in this population have been only modestly effective. More attention to social influences on PA behavior may be useful, particularly social support and social comparison processes. Activating these processes with digital tools can provide easy access that is flexible to the needs of women in midlife. OBJECTIVE: This paper describes the user-centered design processes of developing and conducting initial evaluation of a personalized and adaptive web application, tailored to the social needs of women in midlife. The goal was to gather feedback from the population of interest, before and during the design process. METHODS: This study was conducted in 4 stages. The first and second authors (DA and AFL) developed technical specifications, informed by their experience with the population of interest. We collected feedback on potential content for the web application with women in midlife using both interviews (5/10, 50%; mean age 47.4, SD 6.66 years; mean BMI 35.3, SD 9.55 kg/m2) and surveys (5/10, 50%; mean age 51, SD 6.60 years; mean BMI 32.7, SD 8.39 kg/m2). We used their feedback to inform support messages and peer profiles (ie, sources of social comparison information). Nine members of the behavioral science team and 3 testers unfamiliar with the web application completed internal testing. We conducted naturalistic functionality testing with a different group of women in midlife (n=5; mean age 50, SD 6.26 years; mean BMI 30.1, SD 5.83 kg/m2), who used the web application as intended for 4 days and provided feedback at the end of this period. RESULTS: Iterative storyboard development resulted in programming specifications for a prototype of the web application. We used content feedback to select and refine the support messages and peer profiles to be added. The following 2 rounds of internal testing identified bugs and other problems regarding the web application's functioning and full data collection procedure. Problems were addressed or logged for future consideration. Naturalistic functionality testing revealed minimal further problems; findings showed preliminary acceptability of the web application and suggested that women may select different social content across days. CONCLUSIONS: A multidisciplinary and user-centered design approach led to a personalized and adaptive web application, tailored to the social needs of women in midlife. Findings from testing with this population demonstrated the feasibility and acceptability of the new application and supported further development toward its use in daily life. We describe several potential uses of the web application and next steps for its development. We also discuss the lessons learned and offer recommendations for future collaborations between behavioral and computer scientists to develop similar tools.

A scoping review of behavior change techniques used to promote physical activity among women in midlife.

Women in midlife experience health risks that could be mitigated by regular physical activity and reduced sedentary time, but this population rarely achieves physical activity levels that would protect their health. As a result, many behavioral interventions are designed to promote physical activity in this population, which are purportedly guided by theoretical models of health behavior (change) and activate an associated set of behavior change techniques (BCTs). The efficacy and effectiveness of these interventions appear to be limited, however, raising questions about their design and adaptation for women in midlife. Several aspects of these interventions are currently unclear. Specifically, which women they target (i.e., how "midlife" and "sedentary" or "inactive" are defined), which theoretical models or behavior BCTs are used, and how BCTs are activated in such interventions. A synthesis of this information would be useful as an initial step toward improving physical activity interventions for this at-risk group, and thus, represented the goal of the present scoping review. Eligibility required publication in a peer-reviewed journal in English between 2000 and 2021, inclusion of only women in midlife who did not have any medical or other restrictions on their physical activity (e.g., cancer diagnosis), and free-living physical activity or sedentary behavior as the target outcome (with associated assessment). Of the 4,410 initial results, 51 articles met inclusion criteria, and these described 36 unique interventions. More than half of the articles (59%) named an underlying theoretical model and interventions included an average of 3.76 identifiable BCTs (range 1-11). However, descriptions of many interventions were limited and did not provide enough detail to determine whether or how specific BCTs were activated. Interventions also used a wide range of inclusion criteria for age range and starting activity level, which has implications for targeting/tailoring and effectiveness, and many interventions focused on marginalized populations (e.g., women from racial/ethnic minority backgrounds, those un- or under-insured). The present review identifies some strengths and highlights important limitations of existing literature, as well as key opportunities for advancing the design and potential utility of physical activity interventions for women in midlife. Systematic review registration: https://osf.io/g8tuc.

Predictors of change in BMI over 10 years among midlife and older adults: Associations with gender, CVD risk status, depressive symptoms, and social support.

RATIONALE: Change in BMI is recognized as a key health indicator among midlife and older adults, though predictors of BMI change in this group have received little attention. OBJECTIVE: The aim of this study was to examine relations between hypothesized predictors (i.e., gender, cardiovascular disease [CVD] risk status, depressive symptoms, social support) and BMI change over 10 years, among midlife and older adults. METHODS: Participants were adults ages 50-74 at baseline (N = 5,688, 64% women) who completed four assessments over 10 years. Gender, CVD risk status (i.e., diagnosis of hypertension, type 2 diabetes, or both), depressive symptoms, and perceived social support were assessed at baseline, and BMI was calculated from height and weight reports at all assessments. Multilevel models tested for concurrent and prospective relations between predictors and BMI change (effect size estimates as semipartial correlation coefficients, sr), as well as whether observed relations were further moderated by baseline BMI category (underweight, healthy weight, overweight, or obese). RESULTS: Baseline BMI was higher among those with (vs. without) CVD risk, higher (vs. lower) depressive symptoms, and lower (vs. higher) social support; all of these relations were moderated by gender (ps < 0.05, srs 0.03-0.32). Moreover, BMI showed significant change over 10 years, and BMI variability during this time was higher among women (vs. men) and those with (vs. without) CVD risk (ps < 0.0001). BMI change also differed by CVD risk status, and this relation was moderated by gender, baseline depressive symptoms, and baseline BMI category (ps < 0.05, srs 0.03-0.08). CONCLUSIONS: Although the predictors of interest were not associated with steady BMI decreases (which are associated with long term health risks for older adults), findings reveal unique patterns of change in BMI among subgroups of midlife and older adults, and may allow for early identification of those with noteworthy BMI changes after age 50.