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Background: Rural cancer survivors face a greater number of health disparities, including poorer health-related quality of life (HRQoL), than urban cancer survivors. Engagement in healthy lifestyle behaviors also varies between rural and urban cancer survivors. Lifestyle behaviors can improve HRQoL; however, the combination of behaviors most important for HRQoL in rural survivors is unclear. This study examined clusters of lifestyle behaviors in rural cancer survivors, and differences in HRQoL between behavioral clusters., Methods: Rural cancer survivors in the United States (N = 219) completed a cross-sectional survey. Lifestyle behaviors were classified into unhealthy/healthy binary categories (inactive/active, longer/shorter sedentary time, excessive/acceptable fat intake, very low/higher fruit and vegetable intake, some/no alcohol consumption, and poor/good sleep quality). Behavioral clusters were identified by latent class analysis. HRQoL differences between behavioral clusters were assessed by ordinary least squares regression., Results: The 2-class model demonstrated the best fit and interpretability. The "mostly unhealthy behaviors" class (38.5% of sample) had higher probabilities of all unhealthy behaviors, except alcohol consumption. The "healthier energy balance" class (61.5% of sample) had higher probabilities of active, shorter sedentary, higher fruit and vegetable consumption, excessive fat intake, some alcohol consumption, and poor sleep categories, and reported better HRQoL., Conclusions: Healthier energy balance behaviors were particularly relevant for HRQoL in rural cancer survivors. Multiple behavior change interventions to improve HRQoL in rural cancer survivors should focus on supporting energy balance behaviors. Many rural cancer survivors may lead very unhealthy lifestyles, placing them at high risk of adverse outcomes. This subpopulation should be prioritized to help alleviate cancer health disparities.

Background: Active transportation (AT) increases physical activity, reducing cardiometabolic risk among non-Hispanic white adults; however, research on these linkages in racial/ethnic minority women is sparse. This study explored these associations in 327 African American and Hispanic/Latina women., Methods: This analysis used sociodemographics, self-reported AT via the International Physical Activity Questionnaire, accelerometer-measured moderate to vigorous physical activity (MVPA), body mass index, systolic and diastolic blood pressures, resting heart rate, and body fat percentage (BF). Unadjusted bivariate associations and associations adjusted for sociodemographic factors were examined., Results: AT users had higher levels of objective MVPA, but this was not statistically significant. AT was not associated with cardiometabolic risk factors in adjusted models (Ps > .05); however, systolic blood pressure was lower for AT users. MVPA was negatively associated with diastolic blood pressure and BF overall, body mass index and BF in African American women, and BF in Hispanic/Latina women (Ps <.05)., Conclusions: MVPA was associated with improvements in body mass index, diastolic blood pressure, and BF among minority women, and these relationships may vary by race/ethnicity. Practitioners should recommend increased participation in MVPA. Future research, using longitudinal designs should investigate AT's potential for increasing MVPA and improving cardiometabolic health along with the role of race/ethnicity in these associations.

Background: In the US, public housing developments are typically located in lower socioeconomic status neighborhoods that may have poorer quality street level conditions, placing residents in neighborhoods that are less supportive for physical activity (PA). This study investigated the relationship of detailed, objectively assessed street-level pedestrian features with self-reported and measured PA in African American public housing residents., Methods: Every street segment (N = 2093) within an 800 m radius surrounding each housing development (N = 12) was systematically assessed using the Pedestrian Environment Data Scan (PEDS). Participants completed an interviewer administered International Physical Activity Questionnaire (IPAQ) Short Form and wore a pedometer for 1 week., Results: Women reported significantly less vigorous (mean = 1955 vs. 2896 METs), moderate (mean = 733 vs. 1309 mets), walking (mean = 1080 vs. 1376 METs), and total (mean = 3768 vs. 5581 METs) PA on the IPAQ compared with men (all P <.05). Women took fewer pedometer steps per day (M = 3753 vs. 4589) compared with men, but this was not statistically significant. Regression analyses showed that for women, lower speed limits were associated with vigorous; higher street segment density was associated with more moderate PA; lower speed limits, fewer crossing aids, and more lanes were associated with more walking; and, fewer lanes was associated with more overall PA. For men, fewer sidewalk connections were associated with more moderate PA; lower speed limits were associated with more walking; and, lower speed limits was associated with more overall PA., Conclusions: Neighborhood factors influence physical activity; in particular, lower speed limits appear most commonly linked with increased physical activity in both men and women.