Predictors of Active Transportation Among Safe Routes to School Participants in Arizona: Impacts of Distance and Income.

BACKGROUND: Active transportation to school (ATS) is a component of a whole school approach to health promotion among youth. METHODS: Individual- and school-level predictors of ATS were examined using data from parent surveys (N = 11,100) of students in grades 3-8 attending 112 schools in Arizona (United States) administering Safe Routes to School (SRTS) programs between 2007 and 2018. Multilevel logistic models were estimated to predict the likelihood of students using active (walking or biking) versus inactive travel (riding bus or car) to and from school, and across distance and school-level income categories. RESULTS: Student grade, parent education, asking permission to use ATS, perceived health and school support for ATS, distance, and school income were predictive of ATS. The impact of demographic factors persisted across distances of ½ mile or less and at low- and medium-income schools but diminished as distance and income increased. Asking permission and perceived school support persisted across levels of distance and income, while perceiving ATS as healthy was significant only for distances under 1 mile. CONCLUSIONS: SRTS programs should continue promoting health benefits and school support for ATS. SRTS may be particularly effective at low- and medium-income schools and among families living within ½ mile distances.

Former Foster System Youth: Perspectives on Transitional Supports and Programs.

Youth aging out of the foster care system have well-documented challenges when transitioning to adulthood. Multiple transition services provide support in the transition process; however, limited research is available regarding youth's perceptions of programming. In this pilot study, sixteen youth between ages 18 and 20 participated in semi-structured interviews, support mapping, and resiliency measurements to gather the experiences of the transition from foster care. Comparisons between those who chose initial transition supports and those who did not receive or delayed receiving transition supports were initially explored. Common themes emerged in participants' needs and perceived resiliency regardless of transition support services. All youth reported relationship, trust, and concern for well-being as highly important characteristics in transition team members. A need for earlier transition programming, decision-making opportunities, and life skills courses were important themes in transition programming needs. Implications for policy, research, and practice are presented based upon findings.

Measuring organizational mentoring climate: Importance and availability scales.

INTRODUCTION: Although organizational climate may affect faculty's mentoring behaviors, there has not been any way to measure that climate. The purpose of this study was to test the reliability and validity of two novel scales to measure organizational mentoring climate importance and availability at two public research universities. METHODS: We developed 36 content-valid mentoring climate items in four dimensions: Structure, Programs/Activities, Policies/Guidelines, and Values. In total, 355 faculty completed an anonymous, structured, online survey asking about the importance (very important to very unimportant) and availability (no, don't know, yes) of each of the items. We conducted reliability analyses and construct validity testing using exploratory common factor analysis, principal axis factoring, and oblique rotation. RESULTS: The majority of the predominantly female, White non-Hispanic, senior, tenure-track faculty were not currently mentoring another faculty or being mentored. Analyses demonstrated a 15-item solution for both the Organizational Mentoring Climate Importance (OMCI) and the Availability (OMCA) Scales, with three factors each: Organizational Expectations, Mentor-Mentee Relationships, and Resources. Standardized Cronbach alphas ranged from 0.74 to 0.90 for the subscales, and 0.94 (OMCI) and 0.87 (OMCA) for the full scales. Faculty rated all items as somewhat to very important; however, perceived availability was very low ranging from mentor training programs (40%) to guidelines for evaluating mentoring success or managing conflict (2.5%). CONCLUSIONS: The scales will allow studying of how organizational climate may affect mentoring behavior and whether climate can be changed to improve faculty mentoring outcomes. We provide recommendations for furthering the science of organizational mentoring climate and culture.

Online versus in-person comparison of Microscale Audit of Pedestrian Streetscapes (MAPS) assessments: reliability of alternate methods.

BACKGROUND: An online version of the Microscale Audit of Pedestrian Streetscapes (Abbreviated) tool was adapted to virtually audit built environment features supportive of physical activity. The current study assessed inter-rater reliability of MAPS Online between in-person raters and online raters unfamiliar with the regions. METHODS: In-person and online audits were conducted for a total of 120 quarter-mile routes (60 per site) in Phoenix, AZ and San Diego, CA. Routes in each city included 40 residential origins stratified by walkability and SES, and 20 commercial centers. In-person audits were conducted by raters residing in their region. Online audits were conducted by raters in the alternate location using Google Maps (Aerial and Street View) images. The MAPS Abbreviated Online tool consisted of four sections: overall route, street segments, crossings and cul-de-sacs. Items within each section were grouped into subscales, and inter-rater reliability (ICCs) was assessed for subscales at multiple levels of aggregation. RESULTS: Online and in-person audits showed excellent agreement for overall positive microscale (ICC = 0.86, 95% CI [0.80, 0.90]) and grand scores (ICC = 0.93, 95% CI [0.89, 0.95]). Substantial to near-perfect agreement was found for 21 of 30 (70%) subscales, valence, and subsection scores, with ICCs ranging from 0.62, 95% CI [0.50, 0.72] to 0.95, 95% CI [0.93, 0.97]. Lowest agreement was found for the aesthetics and social characteristics scores, with ICCs ranging from 0.07, 95% CI [-0.12, 0.24] to 0.27, 95% CI [0.10, 0.43]. CONCLUSIONS: Results support use of the MAPS Abbreviated Online tool to reliably assess microscale neighborhood features that support physical activity and may be used by raters residing in different geographic regions and unfamiliar with the audit areas.

Patterns of neighborhood environment attributes in relation to children's physical activity.

Characterizing neighborhood environments in relation to physical activity is complex. Latent profiles of parents' perceptions of neighborhood characteristics were examined in relation to accelerometer-measured moderate-to-vigorous physical activity (MVPA) among 678 children (ages 6-12) in two US regions. Neighborhood environment profiles derived from walkability, transit access, aesthetics, crime and traffic safety, pedestrian infrastructure, and recreation/park access were created for each region. The San Diego County profile lowest on walkability and recreation/park access was associated with an average of 13 fewer min/day of children's out-of-school MVPA compared to profiles higher on walkability and recreation/park access. Seattle/King County profiles did not differ on children's MVPA. Neighborhood environment profiles were associated with children's MVPA in one region, but results were inconsistent across regions.

Validity of the Rapid Eating Assessment for Patients for assessing dietary patterns in NCAA athletes.

BACKGROUND: Athletes may be at risk for developing adverse health outcomes due to poor eating behaviors during college. Due to the complex nature of the diet, it is difficult to include or exclude individual food items and specific food groups from the diet. Eating behaviors may better characterize the complex interactions between individual food items and specific food groups. The purpose was to examine the Rapid Eating Assessment for Patients survey (REAP) as a valid tool for analyzing eating behaviors of NCAA Division-I male and female athletes using pattern identification. Also, to investigate the relationships between derived eating behavior patterns and body mass index (BMI) and waist circumference (WC) while stratifying by sex and aesthetic nature of the sport. METHODS: Two independent samples of male (n = 86; n = 139) and female (n = 64; n = 102) collegiate athletes completed the REAP in June-August 2011 (n = 150) and June-August 2012 (n = 241). Principal component analysis (PCA) determined possible factors using wave-1 athletes. Exploratory (EFA) and confirmatory factor analyses (CFA) determined factors accounting for error and confirmed model fit in wave-2 athletes. Wave-2 athletes' BMI and WC were recorded during a physical exam and sport participation determined classification in aesthetic and non-aesthetic sport. Mean differences in eating behavior pattern score were explored. Regression models examined interactions between pattern scores, participation in aesthetic or non-aesthetic sport, and BMI and waist circumference controlling for age and race. RESULTS: A 5-factor PCA solution accounting for 60.3% of sample variance determined fourteen questions for EFA and CFA. A confirmed solution revealed patterns of Desserts, Healthy food, Meats, High-fat food, and Dairy. Pattern score (mean ± SE) differences were found, as non-aesthetic sport males had a higher (better) Dessert score than aesthetic sport males (2.16 ± 0.07 vs. 1.93 ± 0.11). Female aesthetic athletes had a higher score compared to non-aesthetic female athletes for the Dessert (2.11 ± 0.11 vs. 1.88 ± 0.08), Meat (1.95 ± 0.10 vs. 1.72 ± 0.07), High-fat food (1.70 ± 0.08 vs. 1.46 ± 0.06), and Dairy (1.70 ± 0.11 vs. 1.43 ± 0.07) patterns. CONCLUSIONS: REAP is a construct valid tool to assess dietary patterns in college athletes. In light of varying dietary patterns, college athletes should be evaluated for healthful and unhealthful eating behaviors.

Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005-2006.

Sleep and sedentary and active behaviors are linked to cardiovascular disease risk biomarkers, and across a 24-hour day, increasing time in 1 behavior requires decreasing time in another. We explored associations of reallocating time to sleep, sedentary behavior, or active behaviors with biomarkers. Data (n = 2,185 full sample; n = 923 fasting subanalyses) from the cross-sectional 2005-2006 US National Health and Nutrition Examination Survey were analyzed. The amounts of time spent in sedentary behavior, light-intensity activity, and moderate-to-vigorous physical activity (MVPA) were derived from ActiGraph accelerometry (ActiGraph LLC, Pensacola, Florida), and respondents reported their sleep duration. Isotemporal substitution modeling indicated that, independent of potential confounders and time spent in other activities, beneficial associations (P < 0.05) with cardiovascular disease risk biomarkers were associated with the reallocation of 30 minutes/day of sedentary time with equal time of either sleep (2.2% lower insulin and 2.0% lower homeostasis model assessment of ß-cell function), light-intensity activity (1.9% lower triglycerides, 2.4% lower insulin, and 2.2% lower homeostasis model assessment of ß-cell function), or MVPA (2.4% smaller waist circumference, 4.4% higher high-density lipoprotein cholesterol, 8.5% lower triglycerides, 1.7% lower glucose, 10.7% lower insulin, and 9.7% higher homeostasis model assessment of insulin sensitivity. These findings provide evidence that MVPA may be the most potent health-enhancing, time-dependent behavior, with additional benefit conferred from light-intensity activities and sleep duration when reallocated from sedentary time.