Sedentary Bout Patterns and Metabolic Health in the Hispanic Community Health Study/Study of Latino Youth (SOL Youth).

Background There is limited evidence on the potential negative metabolic health impacts of prolonged and uninterrupted sedentary bouts in structurally disadvantaged youth. This study investigated associations between sedentary bout variables and metabolic health markers in the Hispanic Community Health Study/SOL Youth (Study of Latino Youth). Methods and Results SOL Youth was a population-based cohort of 1466 youth (age range, 8-16 years; 48.5% female); 957 youth were included in the analytic sample based on complete data. Accelerometers measured moderate-to-vigorous physical activity (MVPA), total sedentary time, and sedentary bout patterns (daily time spent in sedentary bouts ≥30 minutes, median sedentary bout duration, and number of daily breaks from sedentary time). Clinical measures included body mass index, waist circumference, fasting glucose, glycated hemoglobin, fasting insulin, and the homeostasis model assessment of insulin resistance. After adjusting for sociodemographics, total sedentary time, and MVPA, longer median bout durations and fewer sedentary breaks were associated with a greater body mass index percentile (bbouts=0.09 and bbreaks=-0.18), waist circumference (bbouts=0.12 and bbreaks=-0.20), and fasting insulin (bbouts=0.09 and bbreaks=-0.21). Fewer breaks were also associated with a greater homeostasis model assessment of insulin resistance (b=-0.21). More time in bouts lasting ≥30 minutes was associated with a greater fasting glucose (b=0.18) and glycated hemoglobin (b=0.19). Conclusions Greater accumulation of sedentary time in prolonged and uninterrupted bouts had adverse associations with adiposity and glycemic control over and above total sedentary time and MVPA. Findings suggest interventions in Hispanic/Latino youth targeting both ends of the activity spectrum (more MVPA and less prolonged/uninterrupted sedentary patterns) may provide greater health benefits than those targeting only MVPA.

Trajectories of Psychopathology and Dysregulation 2-4 Years following Adolescent Bariatric Surgery.

OBJECTIVE: This study examined psychopathology and weight over 4 years following bariatric surgery in adolescents with obesity, as compared to a nonsurgical group. The role of psychological dysregulation in relation to psychopathology in the 2-4 year "maintenance phase" following surgery was also examined. METHODS: Adolescent participants (122 surgical and 70 nonsurgical) completed height/weight and psychopathology assessments annually for 4 years, with dysregulation assessed at Year 2. Analyses examined the association of "High" and "Low" psychopathology with weight over time using logistic regression. Mediation analyses in the surgical group examined indirect effects of dysregulation on percent weight loss through Year 4 psychopathology. RESULTS: There were lower odds of "High" internalizing symptoms in the surgical group versus the nonsurgical group from baseline (presurgery) to Year 4 (OR = .39; p < .001; 42.3% "High" internalizing in surgical; 66.7% in nonsurgical) and during the 2-4 year maintenance phase (OR = .35, p < .05; 35.1% "High" internalizing in surgical; 60.8% in nonsurgical). There was a significant mediation effect in the surgical group: higher dysregulation was associated with greater Year 4 internalizing symptoms (ß = .41, p < .001) which in turn was associated with less Year 4 percent weight loss (ß = -.27, p < .05). CONCLUSIONS: While the surgical group was less likely to experience internalizing symptoms, internalizing psychopathology was related to less percent weight loss in this group. Internalizing symptoms mediated the relationship between dysregulation and percent weight loss in the surgical group. Postoperative mental health follow-up is needed for adolescents into young adulthood.

Hedonic Appetite, Affect, and Loss of Control Eating: Macrotemporal and Microtemporal Associations in Adolescents.

OBJECTIVE: Loss of control eating (LOC) is a dysregulated eating behavior relevant to eating disorders and weight-related health concerns. Hedonic appetite and affect (positive/negative) are dynamic microtemporal processes that influence LOC, but they have been studied predominantly in a static, macrotemporal manner. The present study examined associations of hedonic appetite and positive/negative affect, on macrotemporal and microtemporal levels, with LOC in adolescents. METHODS: Adolescent participants 13-18 years old (n = 43; Mage = 15.1, SD = 1.6; 69.8% female) completed smartphone surveys for 6 evenings, assessing LOC, hedonic appetite, and positive/negative affect. Scores on items were calculated to create microtemporal and macrotemporal assessments of these constructs. Multilevel models were run to examine associations between hedonic appetite and positive/negative affect with LOC. RESULTS: Both macrotemporal and microtemporal hedonic appetite were significantly positively related to LOC (ß = .73, p < .001; ß = .47, p < .001, respectively). Macrotemporal positive affect was significantly negatively associated with LOC (ß = -.09, p < .001). Macrotemporal negative affect was significantly positively associated with LOC (ß = .13, p < .001). No significant relationships emerged between microtemporal positive/negative affect and LOC. CONCLUSIONS: Hedonic appetite appears to be associated with LOC on both microtemporal and macrotemporal levels, suggesting that both momentary fluctuations and having higher hedonic appetite than others can be risk factors for LOC. However, affect appears to be associated with LOC only at the macrotemporal level. Findings may inform theoretical work and clinical and research assessment strategies.

Temporal discounting modifies the effect of microtemporal hedonic hunger on food consumption: An ecological momentary assessment study.

INTRODUCTION: Steeper delay discounting, or preference for small rewards sooner versus larger rewards later, has been linked to disinhibited eating and obesity. The overconsumption of food may also be motivated by hedonic hunger, or the drive to consume foods for pleasure rather than energy need. The present study hypothesized that hedonic hunger would modify the relation between temporal discounting and palatable food consumption. METHODS: Seventeen adolescents between the ages of 13-18 (M = 15.12,SD = 1.80) completed a temporal discounting measure at baseline followed by daily ecological momentary assessments of food intake (e.g., self-reported servings of sweet, starchy, fatty, fast foods) and hedonic hunger for 20 days on a mobile phone. Multilevel models examined between-person (BP) and within-person (WP) hedonic hunger, monetary temporal discounting, and their interactions, on food consumption. RESULTS: The models for sweet, starchy, and fast food consumption had significant interactions between WP hedonic hunger and temporal discounting. For each of these interactions, those with average-or-lower temporal discounting rates were at less risk of consuming sweet, starchy, and fast foods when hedonic hunger was higher than typical while those with high rates of discounting were at higher risk of consuming these types of foods when hedonic hunger was elevated. CONCLUSION: Increases in daily hedonic hunger may confer risk for sweet, starchy, and fast food consumption. However, preference for larger rewards later may serve as a protective factor against consumption of these palatable foods. Future studies should further investigate this and other reward-driven processes that may influence food consumption.

Psychosocial predictors of problematic eating in young adults who underwent adolescent bariatric surgery.

Introduction: This study examined problematic eating and eating-related psychopathology among young adults who underwent adolescent bariatric surgery including concurrent and prospective associations with psychosocial factors and weight change. Methods: VIEW point is a 6-year follow-up study within a prospective observational study series observing adolescents with severe obesity who had bariatric surgery (n = 139) or who presented to nonsurgical lifestyle modification programs (n = 83). Participants completed height/weight measurements, questionnaires, and diagnostic interviews. Regression analyses compared problematic eating across groups and examined Year 6 correlates (i.e., psychosocial factors and weight change) and baseline predictors (i.e., psychosocial factors) of eating-related psychopathology. Results: Compared to the nonsurgical group, the surgical group reported lower eating-related psychopathology, objective binge eating, and grazing at Year 6. While chewing/spitting out and vomiting for weight/shape-related reasons were very infrequent for the surgical group, self-induced vomiting for other reasons (e.g., avoid plugging) was more common. For the surgical group, lower self-worth, greater internalizing symptoms, and higher weight-related teasing in adolescence predicted increased eating-related psychopathology in young adulthood. Year 6 eating-related psychopathology was concurrently associated with lower percent weight loss for the surgical group and greater percent weight gain for the nonsurgical group. Conclusion: Undergoing adolescent bariatric surgery appears to afford benefit for problematic eating and eating-related psychopathology. Current findings suggest that the clinical intervention related to problematic eating and associated psychosocial concerns may be needed for young adults with obesity, regardless of surgical status.

Location-specific psychosocial and environmental correlates of physical activity and sedentary time in young adolescents: preliminary evidence for location-specific approaches from a cross-sectional observational study.

BACKGROUND: A better understanding of the extent to which psychosocial and environmental correlates of physical activity are specific to locations would inform intervention optimization. PURPOSE: To investigate cross-sectional associations of location-general and location-specific variables with physical activity and sedentary time in three common locations adolescents spend time. METHODS: Adolescents (N = 472,Mage = 14.1,SD = 1.5) wore an accelerometer and global positioning systems (GPS) tracker and self-reported on psychosocial (e.g., self-efficacy) and environmental (e.g., equipment) factors relevant to physical activity and sedentary time. We categorized each survey item based on whether it was specific to a location to generate psychosocial and environmental indices that were location-general or specific to either school, non-school, or home location. Physical activity (MVPA) and sedentary time were based on time/location match to home, school, or all "other" locations. Mixed-effects models investigated the relation of each index with location-specific activity. RESULTS: The location-general and non-school physical activity psychosocial indices were related to greater MVPA at school and "other" locations. The school physical activity environment index was related to greater MVPA and less sedentary time at school. The home activity environment index was related to greater MVPA at home. The non-school sedentary psychosocial index was related to less sedentary time at home. Interactions among indices revealed adolescents with low support on one index benefited (i.e., exhibited more optimal behavior) from high support on another index (e.g., higher scores on the location-general PA psychosocial index moderated lower scores on the home PA environment index). Concurrent high support on two indices did not provide additional benefit. CONCLUSIONS: No psychosocial or environment indices, including location-general indices, were related to activity in all locations. Most of the location-specific indices were associated with activity in the matching location(s). These findings provide preliminary evidence that psychosocial and environmental correlates of activity are location specific. Future studies should further develop location-specific measures and evaluate these constructs and whether interventions may be optimized by targeting location-specific psychosocial and environmental variables across multiple locations.

Implementation of School Remote Drop-off Walking Programs: Results from Qualitative Interviews.

BACKGROUND: Remote drop-off programs allow children living "unwalkable" distances from school to walk partway by being dropped off by personal vehicle or bus closer to the school, supporting physical activity and health. However, little evidence exists to guide implementation of such programs. METHODS: Semi-structured interviews were conducted with key informants from 7 remote drop-off programs to capture descriptive information and qualitative content (e.g., barriers, facilitators, outcomes). Qualitative content was analyzed using inductive thematic analysis and identified themes were organized within implementation science frameworks. RESULTS: Programs were from low and high socioeconomic areas (free/reduced price lunch range=4%-92%) and initiated by various champions (school staff=29%, parents=29%, external=42%). 29% of programs incorporated the yellow school bus, 43% involved >100 students, and 71% involved route distances ≥0.5 miles. Twenty themes were identified across 5 implementation science domains (Intervention Characteristics, Inner Setting, Outer Setting, Implementation Process, and Outcomes). Positive outcomes included physical activity, socialization, and improved focus for students; decreased traffic; and positive perceptions of the program by students, parents, and school staff/administrators. Barriers included traffic, weather, and student engagement. Facilitators included having a champion and support from school leaders and the community, conducting process improvements, and incentivizing participation. CONCLUSIONS: Remote drop-offs are feasible for supporting active school commuting but underutilized. Promising strategies for supporting uptake and implementation of such programs include communicating benefits, developing champions, engaging school and community leaders, and improving the neighborhood built environment.

Implementation contextual factors related to community-based active travel to school interventions: a mixed methods interview study.

BACKGROUND: Active travel to school contributes to multiple physical and psychosocial benefits for youth, yet population rates of active travel to school are alarmingly low in the USA and many other countries. Though walking school bus interventions are effective for increasing rates of active travel to school and children's overall physical activity, uptake of such interventions has been low. The objective of this study was to conduct a mixed methods implementation evaluation to identify contextual factors that serve as barriers and facilitators among existing walking school bus programs. METHODS: Semi-structured interviews guided by the Consolidated Framework for Implementation Research (CFIR) were conducted with leaders of low-sustainability (n = 9) and high-sustainability (n = 11) programs across the USA. A combination of quantitative (CFIR-based) coding and inductive thematic analysis was used. The CFIR-based ratings were compared between the low- and high-sustainability programs and themes, subthemes, and exemplary quotes were provided to summarize the thematic analysis. RESULTS: In both the low- and high-sustainability programs, three of the 15 constructs assessed were commonly rated as positive (i.e., favorable for supporting implementation): student/family needs and resources, implementation climate, and planning. Three constructs were more often rated as positive in the high-sustainability programs: organizational incentives and rewards, engaging students and parents, and reflecting and evaluating. Three constructs were more often rated as positive in the low-sustainability programs: student/family needs and resources - built environment, available resources, and access to knowledge and information. Four themes emerged from the thematic analysis: planning considerations, ongoing coordination considerations, resources and supports, and benefits. CONCLUSIONS: Engagement of students, parents, and community members were among the factors that emerged across the quantitative and qualitative analyses as most critical for supporting walking school bus program implementation. The information provided by program leaders can help in the selection of implementation strategies that overcome known barriers for increasing the long-term success of community-based physical activity interventions such as the walking school bus.

Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults.

BACKGROUND: The authors assessed agreement between participant diaries and two automated algorithms applied to activPAL (PAL Technologies Ltd, Glasgow, United Kingdom) data for classifying awake wear time in three age groups. METHODS: Study 1 involved 20 youth and 23 adults who, by protocol, removed the activPAL occasionally to create nonwear periods. Study 2 involved 744 older adults who wore the activPAL continuously. Both studies involved multiple assessment days. In-bed, out-of-bed, and nonwear times were recorded in the participant diaries. The CREA (in PAL processing suite) and ProcessingPAL (secondary application) algorithms estimated out-of-bed wear time. Second- and day-level agreement between the algorithms and diary was investigated, as were associations of sedentary variables with self-rated health. RESULTS: The overall accuracy for classifying out-of-bed wear time as compared with the diary was 89.7% (Study 1) to 95% (Study 2) for CREA and 89.4% (Study 1) to 93% (Study 2) for ProcessingPAL. Over 90% of the nonwear time occurring in nonwear periods >165 min was detected by both algorithms, while <11% occurring in periods ≤165 min was detected. For the daily variables, the mean absolute errors for each algorithm were generally within 0-15% of the diary mean. Most Spearman correlations were very large (≥.81). The mean absolute errors and correlations were less favorable for days on which any nonwear time had occurred. The associations between sedentary variables and self-rated health were similar across processing methods. CONCLUSION: The automated awake wear-time classification algorithms performed similarly to the diary information on days without short (≤2.5-2.75 hr) nonwear periods. Because both diary and algorithm data can have inaccuracies, best practices likely involve integrating diary and algorithm output.

Physical Activity, Sedentary Time, and Diet as Mediators of the Association Between TV Time and BMI in Youth.

PURPOSE: This study examined dietary indicators, sedentary time, and physical activity as potential mediators of the association between TV time and BMIz in youth. DESIGN: Cross-sectional study in 2 independent samples of youth. SETTING: Data collection occurred by mail and telephone for adolescents and either at home or in medical settings for children. SAMPLE: 928 youth ages 12-16 and 756 youth ages 6-12 and a parent. MEASURES: TV time, snacking/eating while watching TV, and a 3-day dietary recall were assessed via child/parent report. Physical activity and sedentary time were assessed by accelerometer wear. ANALYSIS: Direct and indirect associations (through 8 diet and activity variables) of TV time with BMIz were tested in boys and girls in each sample. RESULTS: TV time had a positive association with BMIz in 6-12 year old boys and girls. Direct associations emerged between TV time and the diet/activity variables, and between diet/activity variables and BMIz. Snacking/eating while watching TV had a significant positive association with BMIz in younger boys and mediated the association between TV time and BMIz (ß = .06, p = .019; 25% attenuation). CONCLUSIONS: Snacking/eating while watching TV may be a possible reason TV time is consistently associated with obesity in youth. Targeting reductions in TV time and associated snacking could improve health impacts.

Investigating associations between physical activity-related neighborhood built environment features and child weight status to inform local practice.

Despite evidence of the importance of neighborhood built environment features in relation to physical activity and obesity, research has been limited in informing localized practice due to small sample sizes and limited geographic coverage. This demonstration study integrated data from a local pediatric health system with nationally available neighborhood built environment data to inform local decision making around neighborhood environments and childhood obesity. Height/weight from clinic visits and home neighborhood measures from the U.S. Environmental Protections Agency and WalkScore were obtained for 15,989 6-17 year olds. Multilevel models accounted for the nested data structure and were adjusted for neighborhood income and child sociodemographics. In 9-17 year olds, greater street connectivity and walkability were associated with a 0.01-0.04 lower BMIz (Ps = .009-.017) and greater residential density, street connectivity, and walkability were associated 5-7% lower odds of being overweight/obese (Ps = .004-.044) per standard deviation increase in environment variable. 45.9% of children in the lowest walkability tertile were overweight or obese, whereas 43.1% of children in the highest walkability tertile were overweight or obese. Maps revealed areas with low walkability and a high income-adjusted percent of children overweight/obese. In the Kansas City area, data showed that fewer children were overweight/obese in more walkable neighborhoods. Integrating electronic health records with neighborhood environment data is a replicable process that can inform local practice by highlighting the importance of neighborhood environment features locally and pointing to areas most in need of interventions.

Adaptive mHealth Intervention for Adolescent Physical Activity Promotion.

OBJECTIVE: The present nonrandomized controlled trial aimed to evaluate feasibility, acceptability, and preliminary efficacy of a tailored text message intervention for increasing adolescent physical activity, as compared with passive monitoring. METHODS: Forty adolescents (13-18 years old) received either a tailored text messaging intervention (Network Underwritten Dynamic Goals Engine [NUDGE]; N = 20), or participated in an attention-control condition (N = 20), for 20 days. Physical activity was measured for all participants via continuous accelerometry. Frequency analyses were conducted on program usage and satisfaction ratings to evaluate feasibility and acceptability, and multilevel models were used to evaluate the efficacy hypotheses. RESULTS: The vast majority of participants (90%) reported being very or mostly satisfied with the NUDGE program and rated their enjoyment as above average. The intervention group was estimated to spend an average of 20.84 more minutes per day in moderate-to-vigorous physical activity relative to the attention-control group (ß = 20.84, SE = 8.19). Exploratory analyses revealed that the intervention group also engaged in 82 fewer minutes of sedentary time per day on average, although this effect was not significant due to the large variability in sedentary time (ß = -81.98, SE = 46.86). CONCLUSIONS: The NUDGE tailored text messaging intervention was feasible, acceptable, and efficacious in increasing physical activity in this sample. Findings warrant additional evaluation of NUDGE as both a standalone physical activity intervention or as part of a multicomponent package.

Validity of a Global Positioning System-Based Algorithm and Consumer Wearables for Classifying Active Trips in Children and Adults.

Objective: To investigate the convergent validity of a global positioning system (GPS)-based and two consumer-based measures with trip logs for classifying pedestrian, cycling, and vehicle trips in children and adults. Methods: Participants (N = 34) wore a Qstarz GPS tracker, Fitbit Alta, and Garmin vivosmart 3 on multiple days and logged their outdoor pedestrian, cycling, and vehicle trips. Logged trips were compared with device-measured trips using the Personal Activity Location Measurement System (PALMS) GPS-based algorithms, Fitbit's SmartTrack, and Garmin's Move IQ. Trip- and day-level agreement were tested. Results: The PALMS identified and correctly classified the mode of 75.6%, 94.5%, and 96.9% of pedestrian, cycling, and vehicle trips (84.5% of active trips, F1 = 0.84 and 0.87) as compared with the log. Fitbit and Garmin identified and correctly classified the mode of 26.8% and 17.8% (22.6% of active trips, F1 = 0.40 and 0.30) and 46.3% and 43.8% (45.2% of active trips, F1 = 0.58 and 0.59) of pedestrian and cycling trips. Garmin was more prone to false positives (false trips not logged). Day-level agreement for PALMS and Garmin versus logs was favorable across trip modes, though PALMS performed best. Fitbit significantly underestimated daily cycling. Results were similar but slightly less favorable for children than adults. Conclusions: The PALMS showed good convergent validity in children and adults and were about 50% and 27% more accurate than Fitbit and Garmin (based on F1). Empirically-based recommendations for improving PALMS' pedestrian classification are provided. Since the consumer devices capture both indoor and outdoor walking/running and cycling, they are less appropriate for trip-based research.

Patterns of Sedentary Time in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Youth.

BACKGROUND: Total sedentary time and prolonged sedentary patterns can negatively impact health. This study investigated rates of various sedentary pattern variables in Hispanic/Latino youth. METHODS: Participants were 956 youths (50.9% female) in the Hispanic Community Health Study/Study of Latinos Youth, a population-based cohort study of Hispanic/Latino 8- to 16-year-olds from 4 geographic regions in the United States (2012-2014). Total sedentary time and 10 sedentary pattern variables were measured through 1 week of accelerometer wear. Differences were examined by sociodemographic characteristics, geographic location, weekdays versus weekends, and season. RESULTS: On average, youth were sedentary during 67.3% of their accelerometer wear time, spent 24.2% engaged in 10- to 29-minute sedentary bouts, and 7.2% in ≥60-minute bouts. 8- to 12-year-olds had more favorable sedentary patterns (less time in extended bouts and more breaks) than 13- to 16-year-olds across all sedentary variables. Sedentary patterns also differed by Hispanic/Latino background, with few differences across sex, household income, season, and place of birth, and none between weekdays versus weekends. CONCLUSIONS: Variables representing prolonged sedentary time were high among Hispanic/Latino youth. Adolescents in this group appear to be at especially high risk for unhealthy sedentary patterns. Population-based efforts are needed to prevent youth from engaging in increasingly prolonged sedentary patterns.

Walking School Bus Programs: Implementation Factors, Implementation Outcomes, and Student Outcomes, 2017-2018.

PURPOSE AND OBJECTIVES: Walking school bus programs increase children's physical activity through active travel to school; however, research to inform large-scale implementation of such programs is limited. We investigated contextual factors, implementation outcomes, and student outcomes in existing walking school bus programs in the United States and internationally. INTERVENTION APPROACH: Walking school bus programs involve a group of children walking to school together with an adult leader. On the trip to school, these adults provide social support, address potential traffic and interpersonal safety, and serve as role models to the children while children increase their physical activity levels. EVALUATION METHODS: We conducted surveys with existing walking school bus programs identified through internet searches, referrals, and relevant email listservs. Leaders from 184 programs that operated at least 1 trip per week completed the survey. We used regression analyses to compare differences in contextual factors by area income and location, associations between contextual factors and implementation outcomes, and associations between implementation outcomes and student outcomes. RESULTS: Walking school bus programs in low-income communities had more route leaders and engaged in more active travel to school-related activities of being sustained than those in higher income. Programs that had no external funding, multiple route leaders, and coordination by a school or district staff member (as opposed to a parent) had greater student participation than other programs. Providing more trips than other programs per week was associated with reduced tardiness, reduced bullying, and improved neighborhood walkability. The greatest barriers to implementation were recruiting and maintaining students and identifying and maintaining route leaders. IMPLICATIONS FOR PUBLIC HEALTH: Walking school bus programs can be implemented successfully in many contexts using various models. The involvement of several people in leadership roles is critical for sustainability. Evidence-based implementation strategies that overcome barriers can improve reach, implementation, and sustainability of walking school bus programs and can increase children's physical activity.

Differences in adolescent activity and dietary behaviors across home, school, and other locations warrant location-specific intervention approaches.

BACKGROUND: Investigation of physical activity and dietary behaviors across locations can inform "setting-specific" health behavior interventions and improve understanding of contextual vulnerabilities to poor health. This study examined how physical activity, sedentary time, and dietary behaviors differed across home, school, and other locations in young adolescents. METHODS: Participants were adolescents aged 12-16 years from the Baltimore-Washington, DC and the Seattle areas from a larger cross-sectional study. Participants (n = 472) wore an accelerometer and Global Positioning Systems (GPS) tracker (Mean days = 5.12, SD = 1.62) to collect location-based physical activity and sedentary data. Participants (n = 789) completed 24-h dietary recalls to assess dietary behaviors and eating locations. Spatial analyses were performed to classify daily physical activity, sedentary time patterns, and dietary behaviors by location, categorized as home, school, and "other" locations. RESULTS: Adolescents were least physically active at home (2.5 min/hour of wear time) and school (2.9 min/hour of wear time) compared to "other" locations (5.9 min/hour of wear time). Participants spent a slightly greater proportion of wear time in sedentary time when at school (41 min/hour of wear time) than at home (39 min/hour of wear time), and time in bouts lasting ≥30 min (10 min/hour of wear time) and mean sedentary bout duration (5 min) were highest at school. About 61% of daily energy intake occurred at home, 25% at school, and 14% at "other" locations. Proportionately to energy intake, daily added sugar intake (5 g/100 kcal), fruits and vegetables (0.16 servings/100 kcal), high calorie beverages (0.09 beverages/100 kcal), whole grains (0.04 servings/100 kcal), grams of fiber (0.65 g/100 kcal), and calories of fat (33 kcal/100 kcal) and saturated fat (12 kcal/100 kcal) consumed were nutritionally least favorable at "other" locations. Daily sweet and savory snacks consumed was highest at school (0.14 snacks/100 kcal). CONCLUSIONS: Adolescents' health behaviors differed based on the location/environment they were in. Although dietary behaviors were generally more favorable in the home and school locations, physical activity was generally low and sedentary time was higher in these locations. Health behavior interventions that address the multiple locations in which adolescents spend time and use location-specific behavior change strategies should be explored to optimize health behaviors in each location.

An evaluation of the coverage of theoretically based implementation factors in disseminated classroom physical activity programs.

Classroom-based physical activity (CBPA) is increasingly recommended as a method to support children's physical activity, health, and academic performance. Many adoption-ready programs exist to aid in the implementation of CBPA in schools; yet, implementation rates remain low. The purpose of this study was to evaluate the extent to which resources provided by adoption-ready CBPA programs addressed theory-based implementation contextual factors to support implementation. Existing CBPA programs (N = 37) were identified through Internet searches and all materials (e.g., implementation guides) provided by each program were coded for their inclusion of 51 implementation factors based on the Consolidated Framework for Implementation Research (CFIR). Analyses were conducted to compare inclusion of implementation factors across CFIR Domains and by three program groupings: free (yes/no), research evidence (yes/no), and targeted to teacher only (vs. school). Programs covered a mean of 25.9 per cent (SD = 18.7 per cent) of the 14 Inner Setting implementation factors, 34.2 per cent (SD = 18.0 per cent) of the 6 Characteristics of Individuals implementation factors, and 34.8 per cent (SD = 24.3 per cent) of the 8 Process implementation factors. Programs with research evidence covered more implementation factors than programs without research evidence (43.7 vs. 25.9 per cent; p < .05). Although numerous adoption-ready CBPA programs are available and have many strengths, their inclusion of theory-based factors that support or inhibit implementation is generally low. Consideration of such factors, including organizational climate and teacher-level behavior change, is likely critical to supporting ongoing school-wide implementation of CBPA. Research is needed to develop and test effective strategies for addressing these factors to support more widespread CBPA implementation.

Neighborhood built environment associations with adolescents' location-specific sedentary and screen time.

Less is known about how neighborhood environments relate to sedentary time as compared to physical activity. This study examined relations of perceived and objective neighborhood environments with TV time, total screen time, total sedentary time, sedentary time at home, sedentary time in the home neighborhood, and time spent at home, in 524 12-16 year olds. Better perceived aesthetics and a perceived neighborhood environment index were related to less TV and screen time, and greater cul-de-sac density was related to less total and home sedentary time. Greater street connectivity, mixed land use, and an objective neighborhood environmental index were related to more total sedentary time. Findings suggest that some neighborhood environment attributes may not have the same potential influences on limiting sedentary time as they do for supporting physical activity.