BackgroundEmerging interventions that rely on and harness variability in behavior to adapt to individual performance over time may outperform interventions that prescribe static goals (e.g., 10,000 steps/day). The purpose of this factorial trial was to compare adaptive vs. static goal setting and immediate vs. delayed, non-contingent financial rewards for increasing free-living physical activity (PA).MethodsA 4-month 2 × 2 factorial randomized controlled trial tested main effects for goal setting (adaptive vs. static goals) and rewards (immediate vs. delayed) and interactions between factors to increase steps/day as measured by a Fitbit Zip. Moderate-to-vigorous PA (MVPA) minutes/day was examined as a secondary outcome.ResultsParticipants (N = 96) were mainly female (77%), aged 41 ± 9.5 years, and all were insufficiently active and overweight/obese (mean BMI = 34.1 ± 6.2). Participants across all groups increased by 2389 steps/day on average from baseline to intervention phase (p < .001). Participants receiving static goals showed a stronger increase in steps per day from baseline phase to intervention phase (2630 steps/day) than those receiving adaptive goals (2149 steps/day; difference = 482 steps/day, p = .095). Participants receiving immediate rewards showed stronger improvement (2762 step/day increase) from baseline to intervention phase than those receiving delayed rewards (2016 steps/day increase; difference = 746 steps/day, p = .009). However, the adaptive goals group showed a slower decrease in steps/day from the beginning of the intervention phase to the end of the intervention phase (i.e. less than half the rate) compared to the static goals group (−7.7 steps vs. -18.3 steps each day; difference = 10.7 steps/day, p < .001) resulting in better improvements for the adaptive goals group by study end. Rate of change over the intervention phase did not differ between reward groups. Significant goal phase x goal setting x reward interactions were observed.ConclusionsAdaptive goals outperformed static goals (i.e., 10,000 steps) over a 4-month period. Small immediate rewards outperformed larger, delayed rewards. Adaptive goals with either immediate or delayed rewards should be preferred for promoting PA.Trial RegistrationClinicalTrials.gov ID: NCT02053259 registered prospectively on January 31, 2014.

Physical activity reduces cancer risk, yet African American adults remain insufficiently active, contributing to cancer health disparities. Harmony & Health (HH) was developed as a culturally adapted mind-body intervention to promote physical activity, psychosocial well-being, and quality of life among a church-based sample of overweight/obese, insufficiently active African American adults. Men and women were recruited to the study through an existing church partnership. Eligible participants (N = 50) were randomized to a movement-based mind-body intervention (n = 26) or waitlist control (n = 24). Participants in the intervention attended 16 mind-body sessions over 8 weeks and completed a physical assessment, questionnaires on moderate-to-vigorous physical activity (MVPA) and psychosocial factors, and accelerometry at baseline (T1), post-intervention (T2), and 6 week follow-up (T3). Eighty percent of participants (94% women, M age = 49.7 ± 9.4 years, M body mass index = 32.8 ± 5.2 kg/m2) completed the study, and 61.5% of intervention participants attended ≥10 mind-body sessions. Participants self-reported doing 78.8 ± 102.9 (median = 40.7, range: 0–470.7) min/day of MVPA and did 27.1 ± 20.7 (median = 22.0, range: 0–100.5) min/day of accelerometer-measured MVPA at baseline. Trends suggest that mind-body participants self-reported greater improvements in physical activity and psychosocial well-being from baseline to post-intervention than waitlist control participants. HH is feasible and acceptable among African American adults. Trends suggest that the mind-body intervention led to improvements in physical activity and psychosocial outcomes. This study extends the literature on the use of mind-body practices to promote physical and psychological health and reduce cancer disparities in African American adults.

BackgroundPrevious reviews of rural physical activity interventions were focused on intervention effectiveness and had reported overall mixed findings. The purpose of this systematic review was to apply the Reach, Efficacy, Adoption, Implementation and Maintenance (RE-AIM) framework to evaluate the extent to which rural physical activity interventions in the U.S. have reported on dimensions of internal and external validity and to offer suggestions for future physical activity interventions for rural U.S. populations.MethodsPubmed, PsychINFO, CINAHL, PAIS, and Web of Science were searched through February 2019 to identify physical activity intervention studies conducted in rural regions in the U.S. with adult populations. Titles, abstracts, and full texts of articles were reviewed against inclusion and exclusion criteria. Data extraction from included articles included a summary of study details, rural classification system used, and the presence or absence of a total 61 RE-AIM indicators, including reach (n = 13), efficacy/effectiveness (n = 10), adoption (n = 21), implementation (n = 9), and maintenance (n = 8).ResultsA total of 40 full-text articles representing 29 unique studies were included. Classifications of rurality included self-statements by authors (n = 19, 65.5%), population/census-based definitions (n = 3, 10.3%), Rural Urban Continuum Codes (n = 3, 10.3%), Rural Urban Commuting Area codes (n = 2, 6.9%), the 2014 Alabama Rural Health Association classification system (n = 1, 3.4%) and the U.S. Office of Management and Budget classification system (n = 1, 3.4%). Individual studies reported between 14.8 to 52.5% of total RE-AIM indicators. Studies reported 15.4 to 84.6% indicators for reach; 20.0 to 70.0% indicators for efficacy/effectiveness; 4.8 to 47.6% indicators for adoption; 11.1 to 88.9% indicators for implementation; and 0 to 25.0% indicators for maintenance.ConclusionsWe found an overall poor reporting of components related to external validity, which hinders the generalizability of intervention findings, and a lack of consistency in the definition of rurality. Future research should focus on balancing factors of internal and external validity, and should aim to develop a greater understanding of how rurality influences health and behavior to provide contextual knowledge needed to advance the translation of physical activity interventions into practice in rural communities and reduce rural health disparities.Trial registrationThe review protocol was registered with PROSPERO: CRD42019116308.

Background: This study explored rural-urban differences in meeting physical activity (PA) recommendations and health status in cancer survivors in central Pennsylvania and associations between PA and health status. Methods: Cancer survivors (N=2,463) were identified through a state cancer registry and mailed questionnaires assessing PA and health status. Rural-urban residence was based on county of residence at diagnosis. Participants self-reported frequency and duration of leisure-time PA and were classified as: 1) meeting aerobic recommendations (≥150 minutes/week), 2) muscle-strengthening recommendations (≥2 times/week), 3) both aerobic and muscle-strengthening recommendations, or 4) neither recommendation. Logistic regression models examined associations between rural-urban residence and meeting PA recommendations and associations between PA and health status, adjusting for cancer type, gender and income. Results: Nearly 600 (N=591, 24.0%) cancer survivors returned completed questionnaires (rural 9.5%, urban 90.5%). Half (50.0%) of rural cancer survivors reported no leisure-time PA compared to 35.2% of urban cancer survivors (p=.020), and urban cancer survivors were 2.6 times more likely to meet aerobic PA recommendations (95% CI: 1.1-6.4). Odds of reporting good physical and mental health were 2.3 times higher among survivors who reported meeting aerobic recommendations compared to those who did not meet PA recommendations (95% CI: 1.1-4.5), adjusting for rurality and covariates. Conclusions: Results demonstrate persistent rural-urban differences in meeting PA recommendations in cancer survivors and its association with self-reported health. These findings underscore the need for interventions to increase PA in rural cancer survivors in an effort to improve health status and reduce cancer health disparities in this population. dichotomized poor physical health days (≥7 days vs. <7 days), poor mental health days (≥7 days vs. <7 days), and poor physical or mental health days impeding activities (≥7 days vs. <7 days). Regression analyses included cancer type, gender, and income because they were associated with PA and rural-urban residence. Effect modification by rural-urban differences was assessed. Results Participant Characteristics Of the 2,463 cancer survivors mailed recruitment letters and questionnaires, 591 (24.0%) returned completed questionnaires and participated in this study (Figure 1); the response rate did not significantly differ between rural (19.8%) and urban (24.5%) cancer survivors (χ 2 =3.1, p=.078). Breast cancer survivors were most likely to return completed questionnaires, followed by gynecologic, prostate, and colorectal cancer survivors; lung cancer survivors were least likely to participate. Demographic characteristics, PA, and health status are summarized in Table 1 by rural-urban residence. Rural cancer survivors were significantly more likely to be unemployed (χ 2 =4.9, p=.025) than urban cancer survivors. Half (50.0%) of rural cancer survivors reported being physically inactive (re...

Background Rural and urban differences in health outcomes and behaviors have been well-documented, with significant rural health disparities frequently highlighted. Mobile health (mHealth) apps, such as meditation apps, are a novel method for improving health and behaviors. These apps may be a critical health promotion strategy during the COVID-19 pandemic and could potentially be used to address rural health disparities. However, limited research has assessed whether meditation app health outcomes are associated with rural and urban residence, and it is unclear whether disparities in health and behaviors between rural and urban populations would persist among meditation app users. Objective We aimed to explore associations between rural or urban status, psychological outcomes, and physical activity among users of a mobile meditation app. We further aimed to explore associations between rural or urban status and perceived effects of COVID-19 on stress, mental health, and physical activity, and to explore changes in these outcomes in rural versus urban app users over time. Methods This study was a secondary analysis of a national survey conducted among subscribers to the meditation app Calm. Eligible participants completed online baseline surveys from April to June 2020, and follow-up surveys from June to September 2020, assessing demographics, psychological outcomes, physical activity, and perceived effects of COVID-19 on stress, mental health, and physical activity. Results Participants (N=8392) were mostly female (7041/8392, 83.9%), non-Hispanic (7855/8392, 93.6%), and White (7704/8392, 91.8%); had high socioeconomic status (income ≥US $100,000: 4389/8392, 52.3%; bachelor’s degree or higher: 7251/8392, 86.4%); and resided in a metropolitan area core (rural-urban commuting area code 1: 7192/8392, 85.7%). Rural or urban status was not associated with baseline stress, depression, anxiety, pre–COVID-19 and current physical activity, or perceived effects of COVID-19 on stress, mental health, and physical activity. Repeated-measures models showed overall decreases in depression, anxiety, and perceived effects of COVID-19 on physical activity from baseline to follow-up, and no significant changes in stress or perceived effects of COVID-19 on stress and mental health over time. Models also showed no significant main effects of rural or urban status, COVID-19 statewide prevalence at baseline, or change in COVID-19 statewide prevalence. Conclusions We did not find associations between rural or urban status and psychological outcomes (ie, stress, depression, and anxiety), physical activity, or perceived effects of COVID-19 on stress, mental health, and physical activity. Rural or urban status does not appear to drive differences in outcomes among meditation app users, and the use of mHealth apps should continue to be explored as a health promotion strategy in both rural and urban populations. Furthermore, our results did not show negative cumulative effects of COVID-19 on psychological outcomes and physical activity among app users in our sample, the majority of whom were urban, White, female, and of high socioeconomic status. Further research is needed to investigate meditation app use as a health promotion strategy in rural and urban populations.