Complementary feeding practices of caregivers of infants with Down syndrome as compared to caregivers of typically developing infants.

Caregiver feeding practices during the complementary feeding period (6 months-2 years) may be particularly important for infants with Down syndrome (DS) as they are at higher risk for later health conditions (e.g., obesity, diabetes) that can be influenced by early feeding practices. However, how well caregivers of infants with DS are meeting infant feeding evidence-based practices is relatively unknown. Caregivers of infants with DS (N = 75) and caregivers of typically developing (TD) infants (N = 66) aged 0-2 years completed an online survey about their infant feeding practices and information sources. Caregiver practices and information sources were statistically compared between groups. Results indicated that there are significant differences in the feeding practices of caregivers of infants with DS when compared to caregivers of TD infants. Caregivers of infants with DS were less likely to meet infant feeding evidence-based practices than caregivers of TD infants. Caregivers of infants with DS were also more concerned about their infant's food intake and later weight status. Some individual feeding practices also significantly differed between groups, with caregivers of infants with DS more likely to meet evidence-based practices of purchasing iron rich foods and avoiding added salt, but less likely to use responsive feeding practices than caregivers of TD infants. Caregivers of infants with DS were also less likely to receive information about how to navigate the complementary feeding period than caregivers of TD infants. Coupled with existing research, the results of the present study suggest that infant feeding evidence-based practices should be reviewed for their appropriateness for this population and additional support for caregivers of infants with DS should be implemented to help them navigate this important period.

Indicators of community physical activity resources and opportunities and variation by community sociodemographic characteristics: A scoping review.

Objective: This scoping review synthesizes studies examining community-level variability in physical activity resource (assets) and opportunity (organized group physical activity services) availability by community sociodemographic characteristics to describe methodologies for measuring resources/opportunities, indicators characterizing availability, and associations between community-level sociodemographic characteristics and availability. Methods: A systematic search was conducted in MEDLINE, CINAHL, PsycINFO, and Scopus for literature through 2022. Eligible studies quantitatively examined measures of physical activity resource/opportunity availability by community-level racial, ethnic, and/or socioeconomic characteristics within geospatially defined communities. Extracted data included: community geospatial definitions, sociodemographic characteristics assessed, methodologies for measuring and indicators of community physical activity resource/opportunity availability, and study findings. Results: Among the 46 included studies, community geospatial units were defined by 28 different community boundaries (e.g., town), and 13% of studies were conducted in rural areas. Nearly all (98%) studies measured community-level socioeconomic status, and 45% of studies measured race/ethnicity. A total of 41 indicators of physical activity resource/opportunity availability were identified. Most studies (91%) assessed built environment resources (e.g., parks), while 8.7% of studies assessed opportunities (e.g., programs). Of 141 associations/differences between community sociodemographic characteristics and resource/opportunity availability, 29.8% indicated greater availability in communities of higher socioeconomic status or lower prevalence of minority populations. The remaining findings were in the opposite direction (9.2%), non-significant (36.9%), or mixed (24.1%). Conclusions: Variability in physical activity resources/opportunities by community sociodemographic characteristics was not consistently evident. However, the indicators synthesized may be useful for informing population health improvement efforts by illuminating the physical and social conditions impacting population physical activity outcomes.

Sociodemographic influences on youth sport participation and physical activity among children living within concentrated Hispanic/Latino rural communities.

Introduction: Lack of physical activity (PA) among children living in rural communities is a documented public health problem. Although studies have examined community conditions defined by a rural-urban dichotomy, few have investigated rural community conditions with a concentration of Hispanic/Latino people. This cross-sectional study examined sociodemographic characteristics associated with youth sport (YS) participation and daily PA among children living within concentrated Hispanic/Latino rural U.S. Midwest communities. Methods: During spring 2022, 97% of 3rd-6th grade children (n = 281, aged approximately 8-12 years) attending school in rural Midwestern communities (n = 2) with >50% concentration of Hispanic students participated in the Wellscapes Project, a community randomized trial. Participants completed the Youth Activity Profile and supplemental National Survey of Children's Health questions assessing PA behaviors and YS participation. Caregivers of a subsample of children (n = 215; males, n = 93; females, n = 122) consented to pair their child's survey results with school enrollment records (e.g., free/reduced lunch status and race and ethnicity). Mixed models with community as a random effect examined main and interaction effects of grade, sex, ethnoracial status, and family income on YS participation and these sociodemographic characteristics and YS participation on daily moderate-to-vigorous PA (MVPA). Results: Approximately half of children participated in YS. Non-Hispanic White children (n = 82) were over five times more likely to participate in YS than Hispanic peers (n = 133) (OR = 5.54, 95% CI = 2.64-11.61, p < 0.001). YS participants accumulated 8.3 ± 2.3 more minutes of daily MVPA than non-participants (p < 0.001). Sixth graders, females, and Hispanic children reported lower daily MVPA than comparison groups (p < 0.05). Significant interaction effects on daily MVPA between grade and ethnoracial status (F(3, 204) = 3.04, p = 0.030) were also found. Discussion: Disparities in sport participation and PA outcomes based on sociodemographic characteristics exist among children living in ethnoracially diverse rural communities. Strategies to promote YS participation, including community structural changes, may help reduce PA disparities. The research provides valuable insights for policymakers, public health professionals, and community members to address YS participation barriers, not limited to cost, while considering other PA-promotion efforts to improve child population health.

A call for obesity prevention interventions for young children with intellectual and developmental disabilities.

Health disparities among children with intellectual and developmental disabilities (IDD) are present in early childhood. Yet, this population is underrepresented in health behavior research. In this commentary the authors highlight the need for multi-level physical activity and nutrition research for obesity prevention with a specific focus on young children with Down syndrome, a population at greater risk of developing overweight and obesity compared to typically developing peers. This commentary describes the comorbidities and developmental challenges faced by many children with Down syndrome which may influence weight-related physical activity and nutrition behaviors. Additionally, the authors advocate for involving a multidisciplinary team of experts to inform the adaptation or development of multi-level, theory-driven behavioral interventions to prevent obesity among children with Down syndrome.

A Protocol for a Local Community Monitoring and Feedback System for Physical Activity in Organized Group Settings for Children.

BACKGROUND: Communities are wellness landscapes of geospatially and temporally bound settings where children spend their time. Improving population physical activity (PA) requires investigating available community settings for children, such as classrooms and sport teams, and the dynamic social interactions producing PA. This protocol describes a multiscale community wellness landscape monitoring and feedback system of adult-led organized group settings and PA outcomes for children. METHODS: The data system assessed organized groups for third- through sixth-grade children in 2 rural communities within seasons (fall 2018-2019). Within each season, groups were identified, sampled, and recruited. Sampled group meetings were assessed for children's PA (accelerometry) and meeting routines (video observation). A data processing protocol time-segmented data into meetings and meeting routines into smaller units (sessions). A purpose code was assigned to each meeting (eg, classroom, sport) and session (eg, academic, PA). Group accelerometer data were paired with the coded segments. Multiscale metrics (season, meeting, and session) were generated and provided to the communities in tailored reports. RESULTS: A total of 94 groups were recruited, and 73 groups with 1302 participants were included in the data system. Data were collected from 213 meetings and 844 sessions. Most participants (83.1%) consented to link their accelerometer data with demographic data from school enrollment records. CONCLUSIONS: The community data system identified available organized group settings for children and collected video and PA data from these settings. Incorporating setting data into local data systems provides detailed accounts of whole-of-community PA social systems to inform population health improvement efforts.

COVID-19 pandemic and changes in children's physical activity in a rural US community: a mixed methods study.

OBJECTIVES: To examine differences in rural community children's moderate-to-vigorous physical activity (MVPA) and participation in out-of-school activities from fall 2019 to fall 2020 and explore enacted PA opportunity modifications post initial COVID-19 disruption. DESIGN: Mixed methods study using the validated Youth Activity Profile (YAP), administrator reports and stakeholder surveys and semistructured interviews. SETTING: Children and community stakeholders from one rural US Great Plains community in the state of Nebraska were recruited. PARTICIPANTS: Third through fifth graders in fall 2019 (n=144) and fall 2020 (n=174) reported MVPA and participation in out-of-school activities using the YAP. School administrators reported weekly physical education (PE) and recess minutes. Community stakeholders reported pandemic-related changes in community social structures in semistructured interviews (n=4) and surveys (n=19). RESULTS: Average daily MVPA minutes increased from 2019 to 2020 (75.0 vs 81.3, SE=1.6, p<0.05). Minutes of MVPA increased during: school hours (MD=2.7, SE=0.5, p<0.5); out-of-school time on weekdays (MD=3.9, SE=1.3, p<0.5); and on weekends (MD=5.5, SE=2.4, p<0.5). On average, fewer children participated in youth sport (42.5% vs 47.2%), youth clubs (10.3% vs 16.0%) and other out-of-school activities (24.1% vs 38.2%) in 2020, compared with 2019. Weekly PE/recess minutes increased from 208.3 to 241.7 from 2019 to 2020. Stakeholder surveys revealed community-driven modifications to PA opportunities, and interviews suggested children played outside more frequently, especially when school was closed and out-of-school activities were shut down. CONCLUSIONS: Increased minutes of PE and recess, and decreased out-of-school activity participation may have increased children's overall free play and MVPA during the pandemic. Free play was an important contributor to children's PA during the pandemic and should be prioritised by educators, coaches and other leaders of child PA opportunities. TRIAL REGISTRATION NUMBER: NCT03380143.

Rural community systems: Youth physical activity promotion through community collaboration.

A common way to address rural population health issues is through community stakeholders working together. Youth physical activity (PA) happens in adult-led in-school and out-of-school group opportunities that vary across communities and generally occur in isolated settings. This study explores similarities and differences in rural community system structure and collaborative process variables that help to conceptualize the collaborative impact influencing population youth PA outcomes. Stakeholders (Community 1, n = 23; Community 2, n = 26) and youth (Community 1, n = 205; Community 2, n = 213) were recruited in 2018-2019 as part of Wellscapes, a hybrid implementation-effectiveness community randomized trial. A stakeholder survey (n = 49) measured community system structures and collaboration processes. Youth completed the Youth Activity Profile to measure PA levels. More Community 1 respondents than Community 2 resided within city limits (73.9% vs. 34.6%). Collective efficacy was significantly greater in Community 1 (M = 4.0, SD = 0.5) than in 2 (M = 3.2, SD = 0.4), p < 0.05. Perceptions of trust scored significantly greater in Community 1 (M = 4.1, SD = 0.3) than in 2 (M = 3.3, SD = 0.5), p < 0.05. Though both communities met rural definitions and had stakeholder investment, Community 1 had a greater proportion of PA-implementing stakeholders and more residing within city limits which may have influenced that community's higher scores in collective efficacy and trust. Community 2 had more stakeholders in administrator roles and yielded greater youth PA levels. Unique and common variables of rural communities should be considered in understanding system factors that impact youth PA.

Youth sport participation and physical activity in rural communities.

BACKGROUND: Physical activity, a high-frequency health behavior, varies by where children live, learn, and play. Children accumulate physical activity in adult-led in-school and out-of-school settings. Youth sport is a potential setting for physical activity, but there are differences in youth sport participation based on age, sex, and socioeconomic status. There is a gap in understanding demographic influences on youth sport participation and how these factors interact to influence physical activity. This study examines influences of grade, sex, and family income on youth sport participation and these factors and youth sport participation on moderate-to-vigorous physical activity of children in rural communities. METHODS: Children (n = 418 3rd-6th graders) living in two rural communities completed the online Youth Activity Profile as part of Wellscapes, a type 3 hybrid implementation-effectiveness community randomized trial. Mixed models with community as a random effect examined main effects and interactions of grade, sex, and family income on youth sport participation and these factors and youth sport participation on moderate-to-vigorous physical activity. RESULTS: About 80% of children engaged in youth sport, and full-pay lunch students were almost four times more likely to have youth sport participation than students with free/reduced lunch (OR = 3.91, 95% CI = 1.95, 7.8). Females and 6th graders (p < 0.05) had lower physical activity than comparison groups. Males with higher family income had greater physical activity; females with higher family income had less physical activity. For 6th graders, high family income had less effect on physical activity than similar 3rd-5th graders (p < 0.01). CONCLUSIONS: While a fairly high percentage of children participate in youth sports, there are disparities in rural communities on youth sport participation and physical activity outcomes based on age, sex, and family income.

A protocol for coordinating rural community stakeholders to implement whole-of-community youth physical activity surveillance through school systems.

Accurate and effective local data collection systems are needed to inform community change on youth health behaviors such as physical activity (PA). Systematic methods are particularly important for understanding PA behaviors that may be influenced by individual, interpersonal, organizational, and regional factors. The purpose of this study was to describe a protocol for coordinating community stakeholders to implement an online youth PA surveillance instrument. The research team collaborated with local health departments (LHDs) from two rural communities to coordinate schools in implementing school-wide youth PA surveillance. A data sharing agreement was established between all partners. School administrators and teachers attended in-person training sessions for an online PA survey and how to use the data. Following the training, students were provided individualized logins to complete the survey once a semester over a two-year academic period. Across both communities, 23 teachers and administrators attended the training sessions that were facilitated by the LHDs and research team. In Year 1 (Y1), a total of 465 3rd through 6th grade students were enrolled in the participating schools (community 1 = 227; community 2 = 238). Survey response rates ranged from 86.1% to 95.4% completion, depending on the community and semester. In Year 2 (Y2), a total of 501 3rd through 6th grade students were enrolled (community 1 = 260; community 2 = 241). Response rates ranged from 86.3% to 89.6% in the fall term. A protocol for coordinating LHD and community stakeholders was an effective strategy for implementing population-level youth PA surveillance with high levels of reach.

An observation system to assess physical activity of children with developmental disabilities and delays in preschool.

BACKGROUND: Physical activity (PA) behaviors during preschool settings can influence the health and development of children with developmental disabilities (DD). There is a need for a direct observation system that simultaneously assesses PA and preschool environmental contexts. OBJECTIVE: The purpose of this study was to develop an observation instrument for measuring PA and related contextual factors of preschoolers with DD, and to establish content validity and reliability. METHODS: Content validity was established through consultation with experts, informal observations in inclusive and special education preschools, and literature reviews. Categories and codes were identified and modified from existing observational systems for young children. Reliability was assessed in a convenience sample of preschool children with DD using a cross-sectional design. Data were collected using a momentary time sampling system (5-sec observe, 25-sec record) following a focal child. Inter-rater reliability was assessed during 20% of the observation sessions. RESULTS: The instrument development process resulted in ten coding categories that accounted for PA levels, types, and social and physical environmental contexts relevant to preschoolers with disabilities. Observers completed 137.5 observation sessions, yielding 5498 30-s observation intervals. Interval-by-interval percent agreement was excellent (91%-100%) and kappa values were high (0.82-0.99). CONCLUSIONS: The instrument was found to be a reliable measure of PA of preschoolers with DD and provided important contextual information about PA behaviors in early childhood special education settings. Additionally, it allowed for the simultaneous measurement of specific types and contexts of PA behaviors of preschoolers with DD and will be useful for describing PA and informing future interventions.

Preschool Environmental Influences on Physical Activity in Children with Disabilities.

PURPOSE: The purpose of this study was to describe associations between physical and social environmental features of preschools and physical activity behaviors of young children with developmental disabilities. METHODS: A sample of 34 preschool-age children (mean age, 4.28 ± 1.07; male, 64.7%) with developmental disabilities participated in this study. Physical activity and preschool environmental factors were measured through direct observation using the Observational System for Recording Physical Activity in Children-Developmental Disabilities version. Children were observed approximately eight times over the course of a week, yielding a total of 11, 310 observation intervals. The number of intervals and percentage of time spent in physical activity across environmental contexts were calculated. Logistic regression analyses were conducted to determine associations between time spent in physical activity and features of the physical and social environment. RESULTS: Children with disabilities were sedentary for most of the observed intervals (81.5%). Children were 4.8 times (confidence interval (CI), 4.25-5.50) more likely to be physically active while outdoors compared with indoors. Physical activity was more likely to occur in open spaces (odds ratio [OR], 3.3; CI, 2.59-4.19) and when using portable play equipment (OR, 2.7; CI, 1.31-5.64) compared with fixed playground equipment. While indoors, children in this study were 5.6 times (CI, 3.78-8.03) more likely to be active when in therapy compared with group time activities. Physical activity was more likely to occur when in solitary (OR, 3.4; CI, 2.87-4.10) or one-on-one group contexts (OR, 1.7-2.9) compared with in groups with an adult present. CONCLUSIONS: Certain features of the preschool setting, such as location and social group composition, were more conducive to physical activity than others. Children with disabilities would benefit from more time outdoors and in smaller group settings during preschool.

Parent adoption and implementation of obesity prevention practices through building children's asking skills at family child care homes.

BACKGROUND: Early childhood education programs provide a setting to reach children and parents to modify home environments to prevent obesity. The Healthy Opportunities for Physical Activity and Nutrition Home (HOP'N) Home project was a novel approach that linked Family Child Care Homes (FCCH) to home environments by developing children's asking skills for healthful home environmental change through curricular activities. OBJECTIVE: To evaluate the feasibility of engaging parents in obesity prevention practices through building children's asking skills at FCCH. METHODS: FCCHs (n = 5 settings) and children (n = 25; aged 3-5 years; female = 36 %; non-Hispanic white = 91 %; low socioeconomic status = 28 %; overweight/obese = 52 %) and parents (n = 25) participated in a pre-post cohort design. We assessed children's body mass index and self-report variables at three time points. HOP'N Home included continuous staff training, group time, dramatic play, meal prompts, songs, and home activities. RESULTS: FCCH providers implemented 83%-100% of intervention activities. All parents (100 %) adopted the program, most (87 %) returned completed homework activities to FCCHs, and over 90 % implemented changes in the home. Percent of overweight/obese children decreased from pre-intervention (50 %) to post-intervention (29 %,p = 0.06) and follow-up (38 %,p = 0.06). CONCLUSIONS: It is feasible to build children's asking skills and pair this strategy with home activities to engage parents to prevent obesity.

The translation of an evidence-based preschool physical activity intervention from in-person to online delivery of professional development to preschool teachers.

Study of Health and Activity in Preschool Environments (SHAPES) aimed to increase preschoolers' physical activity by engaging preschool teachers in professional development designed to modify instructional practices. SHAPES originated as a randomized controlled trial, tested in 16 preschools and disseminated to 4 control schools, and was shown to be effective in increasing preschool children's physical activity (Phase I, 2008-2012). This article describes the steps taken to translate an evidence-based physical activity intervention, SHAPES, from in-person delivery to online delivery of professional development to preschool teachers. In Phase II (2013-2016), professional development delivery was modified from an in-person to an online program for preschool teachers. Teacher implementation completeness and fidelity were examined in 10 pilot preschools and then replicated in 30 preschools. Large-scale dissemination of SHAPES began in Phase III (2017-2019), reaching 818 teachers from 228 unique centers after 2 years. The final SHAPES program consisted of six online modules, an accompanying guidebook, over 90 activities, self-assessment techniques, a video library, and an electronic community forum. The SHAPES core elements, defined in Phase I, were retained throughout all three phases. The Phase II change to online delivery was characterized by high levels of implementation completeness and fidelity. Results of Phase III statewide dissemination revealed comparable implementation completeness and fidelity. An intervention shown to be effective in a randomized controlled trial can be translated into an online professional development program and disseminated on a large scale in a timely manner.

Group-based physical activity trajectories in children transitioning from elementary to high school.

BACKGROUND: Physical activity has been observed repeatedly to decline as children transition into adolescence; however, few studies have explored the possibility that sub-groups of children experience unique patterns of change during this transition. The purpose of this longitudinal study was to examine the physical activity trajectories in clusters of youth transitioning from 5th to 11th grade. METHODS: Participants (n = 652) were recruited as 5th graders (ages 10-12 years) from elementary schools (n = 21) in two school districts. Demographic, anthropometric, and physical activity data were collected once per year when children were in 5th, 6th, 7th, 9th, and 11th grades. Children wore accelerometers for 7 consecutive days. Group-based trajectory modeling statistical techniques were applied to identify patterns of physical activity trajectories. Posterior probabilities confirmed participants' membership in their respective group. RESULTS: Three distinct physical activity trajectories were identified. Group 1 (n = 27) remained highly active over time, and physical activity increased from ages 14 to 16 years. Group 2 (n = 365) was active at baseline, but activity declined and remained low as group members aged. Group 3 (n = 260) had the lowest levels of physical activity at all ages, and activity declined from ages 10 to 16 years. CONCLUSIONS: While most children experienced a decline in physical activity as they transitioned into high school, some remained highly active and increased their level of physical activity. Future studies should test physical activity interventions for youth that are tailored for age-related trajectory groups.

EASY-An Instrument for Surveillance of Physical Activity in Youth.

PURPOSE: Physical activity (PA) promotion among youth is a public health priority, and there is a need for robust surveillance systems to help support such initiatives. Existing youth PA self-report instruments that are used for surveillance lack information regarding the types and contexts of activity. Further, these instruments have limited validity with accelerometry. The purpose of the present study was to develop a self-report instrument, with sound psychometric properties, for monitoring compliance with PA guidelines in youth. METHODS: In focus groups, 162 middle school students identified 30 forms of PA that are highly prevalent in that age-group. We incorporated these activities into three preliminary forms of a self-report instrument. An independent sample of middle school students (n = 537) was randomly assigned to complete one of the three preliminary versions of the instrument. Rasch analysis was applied to the responses to the three formats, and a yes/no plus frequency format emerged as the preferred method. A third sample of 342 middle school students then completed the yes/no plus frequency instrument twice after a 7-d period during which they wore an accelerometer. Using both Rasch analysis and traditional correlational methods, validity and reliability of a 14-item instrument were established. Data were collected during 2012-2015. RESULTS: Spearman correlation coefficient for the association between the cumulative score for the 14 items and minutes per day of accelerometry-derived moderate-to-vigorous physical activity was 0.33 (95% confidence interval = 0.22-0.43, P < 0.001). The sensitivity and specificity values of the 14-item instrument were 0.90 and 0.44, respectively. CONCLUSIONS: The study produced a PA self-report instrument for youth that was found to be reliable (r = 0.91), valid versus accelerometry (r = 0.33), and with acceptable specificity and sensitivity in detecting compliance with PA guidelines.

How Does the Relationship Between Motor Skill Performance and Body Mass Index Impact Physical Activity in Preschool Children?

PURPOSE: To determine if weight status modifies the relationship between motor skill (MS) performance and physical activity (PA) in preschoolers. METHODS: Preschoolers (N = 227, age 3-5 y) were recruited from 22 preschools. Preschoolers' MS (locomotor, object control, and total MS) were assessed with the Children's Activity and Movement in Preschool Study MS protocol. PA was measured by accelerometry. Mixed linear models were used to examine the relationship of MS performance and body mass index (BMI) z score to PA. Models were adjusted for age, race, sex, and parent education, with preschool as a random effect. RESULTS: There was a significant correlation between MS performance and PA (r = .14-.17, P < .05). A significant interaction was observed between BMI z score and object control, and between BMI z score and total MS score on PA (P = .03). Preschoolers with higher BMI z scores and high object control scores engaged in significantly (P = .03) more PA than preschoolers with lower BMI z scores and high object control scores (PA = 15.04 min/h and 13.54 min/h, respectively). Similarly, preschoolers with higher BMI z scores and high total MS scores spent significantly (P = .01) more time in PA compared with those with lower BMI z scores and high total MS scores (PA = 15.65 min/h and 13.91 min/h, respectively). CONCLUSION: Preschool children's MS performance is positively correlated with PA, and BMI z score modified the relationship between MS performance and PA.

The Modifying Effects of Race/Ethnicity and Socioeconomic Status on the Change in Physical Activity From Elementary to Middle School.

PURPOSE: Youth physical activity (PA) levels differ by race/ethnicity and socioeconomic status (SES). It is well established that various multilevel factors may influence changes in PA. The present study examined whether the association between the change in individual, interpersonal, and environmental factors and the change in PA is modified by race/ethnicity or SES. METHODS: This study followed 643 youths and their parents from suburban and rural South Carolina participating in the Transitions and Activity Changes in Kids (TRACK) Study in 2008-2009 and 2010-2011. We assessed total PA in youth using accelerometry and categorized youth and parent survey data into blocks based on the socioecological model. Multivariate regression growth curve models evaluated whether the association between change in independent variables and change in PA was modified by race/ethnicity or SES. RESULTS: PA declined from fifth to seventh grade among all racial/ethnic and SES groups. Associations between the range of variables and change in PA were modified by race/ethnicity but not SES. Blacks did not share any common predictors of change in PA with whites or Hispanics. However, child-reported number of active friends was associated with total PA, and enjoyment of PA was associated with change in PA among both whites and Hispanics. Significant interactions by time varied by racial/ethnic group. CONCLUSIONS: The factors that influence changes in youth PA vary by race/ethnicity but not SES. These findings reinforce the complex nature of addressing PA behavior in diverse samples and further support the need for culturally appropriate interventions to promote PA in youth.

Implications of Social Groups on Sedentary Behavior of Children with Autism: A Pilot Study.

This pilot study compared sedentary behavior (SB) of children with autism (ASD) to typically developing peers (TD), and evaluated the influence of social contexts within free play (FP) and organized activity settings on SB of children with ASD during an inclusive summer camp. Participants with ASD were matched with TD peers by age and gender, and a modified OSRAC-P was utilized to assess SB and social context by setting. SB did not differ by diagnosis (ASD, TD), setting, or social contexts. In FP, children with ASD spent significantly more time in SB within social contexts compared to solitary contexts. ASD-related social deficits may facilitate SB in children with ASD during summer camp FP social contexts, compared to a solitary context.

Social Environmental Influences on Physical Activity of Children With Autism Spectrum Disorders.

BACKGROUND: Children with Autism Spectrum Disorders (ASD) may be at greater risk for not meeting physical activity (PA) guidelines than neurotypical children (NT). The purpose of this study was to explore setting (free play versus organized) and social group composition influences on PA of children with ASD during summer camp. METHODS: Data were collected on 6 ASD and 6 NT boys (aged 5 to 6 years) attending an inclusive summer camp. During free play and organized activity, research assistants observed the camp's social environment and children's PA using a modified version of the Observational System for Recording Physical Activity of Children-Preschool version. RESULTS: In free play, children with ASD spent significantly less time in Moderate-Vigorous PA (MVPA) while with a peer (1.2%), compared with a peer group (11.5%) or alone (13.2%). They demonstrated significantly more Light-Moderate-Vigorous PA (LMVPA) while in a solitary social context (68.2%) compared with alone with an adult (25.8%), alone with a peer (34.8%), or with a peer group (28.2%). No significant differences were noted during organized activity. CONCLUSION: Features of the social environment may influence PA levels of children with ASD. Specifically, certain social group contexts may be more PA-promoting than others depending on the setting.