BackgroundOne factor considered essential to successful implementation is organizational readiness. The purpose of this study was to explore ways to improve the measurement of organizational readiness, and in particular to refine a preliminary measure based on the Readiness = Motivation x innovation Specific Capacity x General Capacity (R = MC2) heuristic. We assessed the experiences of staff in Federally Qualified Health Centers (FQHC) implementing evidence-based interventions (EBIs) designed to increase colorectal cancer screening (CRCS) who previously completed the survey and aimed to understand their perspectives on why our data were positively skewed.MethodsWe conducted a series of qualitative interviews with FQHC employees who had previously completed the readiness survey and/or been involved with the distribution of the readiness survey. Interviews were conducted via Zoom, recorded, transcribed. Data was analyzed using an inductive approach to identify key emergent themes.ResultsAnalyses revealed numerous contributors to high organizational readiness assessment scores including concerns about confidentiality, social desirability bias, knowledge of respondents about the survey content, and the survey format. Specific to the survey format, we found that survey length and response scaling likely impacted scores and the overall survey experience. Lastly, some participants shared that the tendency for high scores may reflect actual perceptions because FQHC staff are passionate, work well in teams, and typically have already worked hard to improve CRCS rates through evidence-based interventions.ConclusionStudy findings reinforce the importance of collaborative and community-engaged survey design and the need to address the common challenges dissemination and implementation surveys may be vulnerable to. Lessons learned can be applied to other measurement work and surveys conducted across public health research. The findings will inform continued organizational readiness measure development and have implications for measurement of other factors influencing implementation.

Background Schools are a key setting for supporting youth physical activity, given their broad reach and diverse student populations. Organizational readiness is a precursor to the successful implementation of school-based physical activity opportunities. The R = MC 2 heuristic (Readiness = Motivation x Innovation-Specific Capacity x General Capacity) describes readiness as a function of an organization’s motivation and capacity to implement an innovation and can be applied to better understand the implementation process. The purpose of this study was to explore the barriers to and facilitators of implementing school-based physical activity opportunities in the context of organizational readiness. Methods We analyzed interview data from 15 elementary school staff (principals, assistant principals, physical education teachers, and classroom teachers) from a school district in Texas. We focused on factors related to adopting, implementing, and sustaining a variety of school-based physical activity opportunities. We used the Framework Method to guide the analysis and coded data using deductive (informed by the R = MC 2 heuristic) and inductive approaches. Themes were generated using the frequency, depth, and richness of participant responses. Results Four themes emerged from the data: (1) implementation is aided by the presence of internal and external relationships; (2) physical activity opportunities compete with other school priorities; (3) seeing the benefits of physical activity opportunities motivates school staff toward implementation; and (4) staff buy-in is critical to the implementation process. Themes 1–3 aligned with subcomponents of the R = MC 2 heuristic (intra- and inter-organizational relationships, priority, and observability), whereas Theme 4 (staff buy-in) related to multiple subcomponents within the Motivation component but was ultimately viewed as a distinct construct. Conclusion Our results highlight and explain how key readiness constructs impact the implementation of school-based physical activity opportunities. They also highlight the importance of obtaining staff buy-in when implementing in the school setting. This information is critical to developing readiness-building strategies that help schools improve their capacity to deliver physical activity opportunities effectively. Trial registration Not applicable.

Background: Physical education is a key component to improve youth health, but there is limited information on physical education delivery in different formats.Purpose: We compared PE formats (in-person versus remote) across evaluation aspects: weekly minutes; perceived effectiveness; and student-to-teacher ratio.Methods: We distributed questionnaires (2020-2021 school year) to school contacts who represented NFL Play 60 FitnessGram (R) Project (n = 216) schools in multiple US cities. Questionnaires entailed learning format, weekly PE minutes, perceived effectiveness, and student-to-teacher ratio. We used linear mixed models to compare PE formats across evaluation variables.Results: Among 165 schools, 10% (n = 17) offered in-person instruction, 31% (n = 51) offered remote instruction, and 59% offered both (n = 97). Results revealed higher in-person PE minutes (77.2 +/- 7.3) compared to remote minutes (67.1 +/- 14.6), but results were not significantly different (p = .19). School contacts reported significantly more effective in-person PE (4.0) than remote PE (2.8, p < .001). In-person PE also had significantly smaller reported student-to-teacher ratio (16.7) compared to remote PE (23.7, p < .001).Discussion: Findings indicate PE was offered during the pandemic, but remote learning appeared less effective than in-person PE.Translation to Health Education Practice: Efforts are needed to improve remote PE to reinforce high-quality PE in the future.

INTRODUCTION:Schools can support students' participation in physical activity by offering opportunities consistent with a Whole-of-School (WOS) approach; however, the extent to which physical activity opportunities are provided and how school-level characteristics associate with their use remains unclear. This study examined how elementary schools' use a WOS approach to promote physical activity, as well as associations between school-level characteristics and physical activity opportunities provided. METHODS:Survey data was collected from 162 elementary schools participating in the NFL PLAY 60 FitnessGram Project during the 2022-2023 school year. A WOS index (ranging from 0 to 12) was created from responses by school staff on questions about 6 physical activity practices (physical education, recess, before- and after-school programs, classroom-based approaches, active transport). Multivariable regression models examined associations between school characteristics and WOS index scores. Analyses were completed in Spring 2024. RESULTS:Fully adjusted models indicated a statistically significant difference between the percentage of economically disadvantaged students served and WOS index score. Schools serving between 20% and 39% (p<0.001), 40%-59% (p<0.01), 60%-79% (p<0.01) and ≥80% (p<0.001) economically disadvantaged students scored significantly lower on the WOS index compared to schools with 0%-19% economically disadvantaged students. CONCLUSIONS:Studies are needed to examine disparities in physical activity practices consistent with a WOS approach to understand the implications on health, academic performance, and other key outcomes. This information can inform the development of strategies to address disparities and ensure youth have equitable access to school-based physical activity opportunities.

School-based physical activity (PA) opportunities can help students engage in greater amounts of daily PA, meet PA guidelines, and lead to improved health and educational outcomes. However, we do not completely understand the organizational challenges to implementing these opportunities successfully. This exploratory study examined associations between school-level determinants and the implementation of school-based PA opportunities. We analyzed cross-sectional survey data from schools (n = 46) participating in the Healthy Zone School Program (HZSP) (Dallas, Texas, USA) during 2019-2020. Respondents completed an electronic survey that included measures of school-level determinants (e.g. culture, leadership, priority) and the implementation of school-based PA opportunities. We used linear regression models to examine associations between determinants and implementation outcomes (number of PA opportunities delivered, perceived overall success of each PA program/activity used). After adjusting for campus type (i.e. elementary, middle, high, K-12), student race/ethnicity, and percentage of economically disadvantaged students, no constructs were associated with the number of PA opportunities implemented. Linear regression models suggest access to knowledge and information (β = 0.39, P = .012, 95% CI = 0.24-1.44) and implementation climate (β = 0.34, P = .045, 95% CI = 0.02-1.59) were positively associated with the success of school-based PA opportunities. Our findings provide suggestive evidence that access to knowledge and information and a supportive school climate may improve the overall success of PA opportunities provided to students. Future research should examine additional school-level determinants to understand their importance to implementation and inform the development of strategies to improve schools' capacity for implementing PA opportunities successfully.

Sport-based youth development programs, delivered through campus–community partnerships, can create impactful experiences for college students, meet university objectives, and improve the health of children in under-resourced rural communities. This study aimed to pilot test intervention mapping (IM), a systematic approach to intervention development and implementation, to refine the Hoosier Sport intervention, which is a local public health initiative that utilizes the Obesity-Related Behavioral Intervention Trials (ORBITs) model to improve physical activity in middle school children. The IM process, which included a diverse IM planning and advisory group of university representatives and local schools, was guided by self-determination theory (SDT) and social cognitive theory (SCT) and followed four steps: Logic Model of the Problem, Logic Model of Change, Program Design, and Program Production. Using SDT and SCT, we identified our personal determinants as autonomy, competence, and relatedness, while our environmental determinants were role-modeling and sports equipment access. We then created change methods and practical applications for refining and implementing our intervention and gathered pilot test data to assess the feasibility of the intervention. The IM process provided a more robust and evidence-based approach to intervention design and production, while involving stakeholders to foster meaningful collaboration and increase program success. By using IM in program development, public health interventions that promote youth development through sport will likely be more easily scaled up.

IntroductionImplementation Mapping (IM) has increasingly been used for the design and/or selection and tailoring implementation strategies to promote the effective translation of evidence-based interventions into practice. IM is a tool for guiding the systematic, iterative, step-by-step design process that helps guide the co-creation of theory-based, evidence-informed implementation strategies. This protocol aims to describe the methods of the planned systematic review that will (1) examine the overall landscape of IM in developing implementation strategies, (2) explore the mechanisms of implementation strategies developed using IM and (3) investigate the use of IM and community engagement in the development of implementation strategies. This review will produce synthesised evidence that will describe how IM has been used in selecting, designing and tailoring implementation strategies, with a focus on implementation mechanism and community engagement.Methods and analysisWe will include peer-reviewed original English articles that describe the use of Implementation Mapping or Intervention Mapping to design implementation strategies. We will search Medline Ovid, PsycInfo, Embase, CINAHL and Web of Science using the following terms: ‘Implementation Mapping’ and ‘Intervention Mapping’. At least two reviewers will independently screen the records to examine the eligibility. After several rounds of consistency testing of data extraction among at least two reviewers and confirming the consistent coding among the reviewer team, one coder will proceed with the data extraction. In case of uncertainty, we will reach a consensus through interactive reviewers’ meetings and in consultation with a senior author. We examined the risk of bias in individual studies using the quality assessment tool developed by Hawkeret alin 2002. We will synthesise and present the data by each research aim.Ethics and disseminationEthics approval was not required. Findings will be shared via peer-reviewed journals, and data from the included studies will be made openly accessible.

Introduction A whole-of-school approach is best to promote physical activity before, during, and after school. However, multicomponent programming is often complex and difficult to deliver in school settings. There is a need to better understand how components of a whole-of-school approach are implemented in practice. The objectives of this mixed methods study were to: (1) qualitatively explore physical activity approaches and their implementation in elementary schools, (2) quantitatively assess implementation levels, and (3) examine associations between school-level physical activity promotion and academic ratings. Methods We used an exploratory sequential mixed methods design. We conducted semi-structured qualitative interviews with elementary school staff from a Texas school district and used a directed content analysis to explore physical activity approaches and their implementation. Using qualitative findings, we designed a survey to quantitatively examine the implementation of physical activity approaches, which we distributed to elementary staff district wide. We used Pearson correlation coefficients to examine the association between the amount of physical activity opportunities present in individual schools and school-level academic ratings. Results We completed 15 interviews (7 principals/assistant principals, 4 physical educators, and 4 classroom teachers). Elementary school teachers and staff indicated PE and recess implementation was driven from the top-down by state and district policies, while implementation of classroom-based approaches, before and after school programming, and active transport were largely driven from the bottom-up by teachers and school leaders. Teachers and staff also discussed implementation challenges across approaches. Survey respondents ( n = 247 from 22 schools) indicated 54.6% of schools were implementing ≥135 min/week of physical education and 72.7% were implementing 30 min/day of recess. Classroom-based approaches were less common. Twenty-four percent of schools reported accessible before school programs, 72.7% reported accessible after school programs, and 27% promoted active transport. There was a direct association between the number of physical activity opportunities provided and school-level academic ratings r (22) = 0.53, p = 0.01. Conclusion Schools provided physical activity opportunities consistent with a whole-of-school approach, although there was variability between schools and implementation challenges were present. Leveraging existing school assets while providing school-specific implementation strategies may be most beneficial for supporting successful physical activity promotion in elementary schools.

Implementing evidence-based interventions remains slow in federally qualified health centers (FQHCs). The purpose of this study is to qualitatively examine the R = MC2 (Readiness = motivation × innovation specific capacity × general capacity) heuristic subcomponents in the context of implementing general and colorectal cancer screening (CRCS)-related practice changes in FQHCs. We conducted 17 interviews with FQHC employees to examine (1) experiences with successful or unsuccessful practice change efforts, (2) using approaches to promote CRCS, and (3) opinions about R = MC2 subcomponents. We conducted a rapid qualitative analysis to examine the frequency, depth, and spontaneity of subcomponents. Priority, compatibility, observability (motivation), intra- and interorganizational relationships (innovation-specific capacity), and organizational structure and resource utilization (general capacity) emerged as highly relevant. For example, organizational structure was described as related to an organization's open communication during meetings to help with scheduling procedures. The results contribute to understanding organizational readiness in the FQHC setting and can be helpful when identifying and prioritizing barriers and facilitators that affect implementation.

IntroductionSchools play an important role in promoting physical activity for youth. However, school-based physical activity opportunities often compete with other academic priorities, limiting their implementation. The purpose of this study was to qualitatively explore elementary school teacher and staff perspectives on providing physical activity opportunities and how they impact students and learning.MethodsWe partnered with a school district in Texas to conduct semi-structured individual interviews. We used a purposeful sampling approach to recruit elementary teachers and staff knowledgeable about the physical activity opportunities provided at their school. Interviews included questions about participant opinions of providing physical activity opportunities and the types of opportunities provided. We analyzed data using a directed content analysis and iterative categorization approach.ResultsFifteen participants (4 teachers, 4 physical education teachers, 3 assistant principals, and 4 principals) completed interviews from 10 elementary schools. Participants discussed observed and perceived benefits when providing physical activity opportunities, which emerged into four themes and subthemes: (1) academic benefits (learning readiness, learning engagement, and academic performance); (2) social-emotional benefits (behavior, interpersonal and social skills, and classroom culture); (3) physical benefits (brain health, skill development, physical health); and (4) instructional benefits (quality teaching time, helpful teaching tools, and teacher-student relationships).ConclusionsTeachers and staff observed numerous benefits when students had opportunities to be physically active, including the positive impact on academic and social-emotional outcomes. Our findings highlight the alignment of physical activity with other school priorities. Physical activity programming can be used in ways to support academics, learning, behavior, and other important outcomes.

Organizational readiness is a key factor for successful implementation of evidence-based interventions (EBIs), but a valid and reliable measure to assess readiness across contexts and settings is needed. The R = MC2 heuristic posits that organizational readiness stems from an organization’s motivation, capacity to implement a specific innovation, and its general capacity. This paper describes a process used to examine the face and content validity of items in a readiness survey developed to assess organizational readiness (based on R = MC2) among federally qualified health centers (FQHC) implementing colorectal cancer screening (CRCS) EBIs. We conducted 20 cognitive interviews with FQHC staff (clinical and non-clinical) in South Carolina and Texas. Participants were provided a subset of items from the readiness survey to review. A semi-structured interview guide was developed to elicit feedback from participants using “think aloud” and probing techniques. Participants were recruited using a purposive sampling approach and interviews were conducted virtually using Zoom and WebEx. Participants were asked 1) about the relevancy of items, 2) how they interpreted the meaning of items or specific terms, 3) to identify items that were difficult to understand, and 4) how items could be improved. Interviews were transcribed verbatim and coded in ATLAS.ti. Findings were used to revise the readiness survey. Key recommendations included reducing the survey length and removing redundant or difficult to understand items. Additionally, participants recommended using consistent terms throughout (e.g., other units/teams vs. departments) the survey and changing pronouns (e.g., people, we) to be more specific (e.g., leadership, staff). Moreover, participants recommended specifying ambiguous terms (e.g., define what “better” means). Use of cognitive interviews allowed for an engaged process to refine an existing measure of readiness. The improved and finalized readiness survey can be used to support and improve implementation of CRCS EBIs in the clinic setting and thus reduce the cancer burden and cancer-related health disparities.

BACKGROUND:Despite the development of numerous evidence-based interventions (EBIs), many go unused in practice. Hesitations to use existing EBIs may be due to a lack of understanding about EBI components and what it would take to adapt it or implement it as designed. To improve the use of EBIs, program planners need to understand their goals, core components, and mechanisms of action. This paper presents EBI Mapping, a systematic approach based on Intervention Mapping, that can be used to understand and clearly describe EBIs, and help planners put them into practice. METHODS:We describe EBI Mapping tasks and provide an example of the process. EBI Mapping uses principles from Intervention Mapping, a systematic framework for planning multilevel health promotion interventions. EBI Mapping applies the Intervention Mapping steps retrospectively to help planners understand an existing EBI (rather than plan a new one). We explain each EBI Mapping task and demonstrate the process using the VERB Summer Scorecard (VSS), a multi-level community-based intervention to improve youth physical activity. RESULTS:EBI Mapping tasks are: 1) document EBI materials and activities, and their audiences, 2) identify the EBI goals, content, and mechanisms of action, 3) identify the theoretical change methods and practical applications of those methods, 4) describe design features and delivery channels, and 5) describe the implementers and their tasks, implementation strategies, and needed resources. By applying the EBI Mapping tasks, we created a logic model for the VSS intervention. The VSS logic model specifies the links between behavior change methods, practical applications, and determinants for both the at-risk population and environmental change agents. The logic model also links the respective determinants to the desired outcomes including the health behavior and environmental conditions to improve the health outcome in the at-risk population. CONCLUSIONS:EBI Mapping helps program planners understand the components and logic of an EBI. This information is important for selecting, adapting, and scaling-up EBIs. Accelerating and improving the use of existing EBIs can reduce the research-to-practice gap and improve population health.

Implementation of evidence-based interventions (EBIs) can help to increase colorectal cancer screening (CRCS). Potential users of CRCS EBIs are often unclear about the specific features, logic, and core elements of existing EBIs, making it challenging to use or adapt them. We used EBI Mapping, a systematic process developed from Intervention Mapping that identifies an EBI's components and logic, to characterize existing CRCS EBIs from the National Cancer Institute's Evidence-Based Cancer Control Programs website. The resulting information can facilitate intervention adoption, adaptation, and/or implementation. Two trained coders independently coded intervention materials to describe intervention components and logic (n = 20). We display CRCS EBI components (potential mechanism of change) using evidence tables and heat maps. All EBIs addressed completion of at least one CRCS behavior (stool-based test, n = 9; stool-based test or another CRCS test, n = 8; colonoscopy, n = 3; colonoscopy or sigmoidoscopy, n = 1). The psychosocial determinants most frequently addressed by these interventions were knowledge (n = 19), attitudes (n = 17), risk perception/perceived susceptibility (n = 16), skills (n = 15), and overcoming barriers (n = 15). Multi-level EBIs (n = 9) attempted to change an average of 2.1 ± 1.1 conditions in the patients' environment (e.g., accessibility of CRCS); only four EBIs used environmental change agents (e.g., providers, nurses). From the heat maps of EBIs, we describe common theoretical change methods' (e.g., facilitation) used for addressing determinants (e.g., overcoming barriers). EBI Mapping can help users identify important components of a CRCS EBI's logic; these proposed mechanisms of action can inform adoption, adaptation, and implementation in new settings, and facilitate scale up of EBIs.

ABSTRACT Physical inactivity and sedentary behaviors are major contributors to chronic diseases and premature mortality. Although the benefits of physical activity have been documented, no study has systematically evaluated the feasibility and satisfaction of different physical activity routines designed for workplace settings. Therefore, the objectives of this research were to develop and evaluate six different types of 15-min physical activity routines. Based on pilot testing, we developed six different physical activity routines designed for the 15-min break during the workday, and 12 dimensions were used to evaluate each routine. The dimensions were as follows: appropriateness of work attire, benefit, challenge, complexity, confidence, effort (i.e., physical), embarrassment, enjoyment, fatigue, flexibility, likability, and sweat (i.e., perspiration). Before completing the ratings, participants received definitions of each dimension. Ninety-four full-time employees participated in six routines (i.e., aerobic dance, ballet, Booster Break, circuit training, muscle strengthening, and yoga) and rated their experiences using a 5-point Likert scale immediately after each session. All routines received some favorable ratings and seemed acceptable as a workplace activity. Circuit training and aerobic dance ranked highest on challenge, complexity, effort (i.e., physical), embarrassment, fatigue, and sweat, and low on work attire appropriateness. Booster Break ranked relatively high on benefit, confidence, likability, and work attire appropriateness; moderate on fatigue; and low on sweat and embarrassment. Circuit training and aerobic dance routines were the most challenging and appropriate for workforces with employees who are physically active and/or prefer challenges. For workforces with a diversity of preferences, abilities, or new to physical activity routines, the Booster Break is recommended because it was rated favorably on all dimensions. Future research is recommended to replicate these findings and improve the implementation effectiveness of work break routines.

Valid and reliable measures are important to understanding the implementation of physical activity approaches in schools. The study purpose is to examine the psychometric properties of measures of individual-level constructs (knowledge, attitudes, outcome expectations, self-efficacy, innovativeness, and support) in the context of implementing school-based physical activity approaches. We collected data from a sample of elementary school employees (administrators, classroom teachers, physical educators, and support staff) from an urban school district in southeast Texas. Confirmatory factor analysis (CFA) models were used to examine structural validity. We also examined correlations between constructs to assess discriminant and convergent validity. Last, we used a CFA-based approach to examine scale reliability. The analytic sample consisted of 205 employees. CFA results for each individual measure revealed good-fitting models for most measures (χ2(df)>0.05, RMSEA<0.08, CFI>0.90, TLI>0.90, SRMR≤0.07). A combined model that included all the measures also indicated good fit across indices: χ2(306)=485, p<0.001; RMSEA=0.05, CFI=0.93, TLI=0.92, SRMR=0.07. All correlations between constructs were <0.70, and all but one construct (innovativeness) demonstrated moderate correlations with support for classroom-based physical activity approaches (>0.30). In addition, reliability point estimates were all >0.70. The measures tested in this study were found to have good reliability, as well as good structural, discriminant, and convergent validity. These measures are useful in efforts to better understand how individual-level constructs relate to implementation behaviors for physical activity approaches in schools.

Background: Multiple models and frameworks exist for the measurement and classification of physical activity in adults that are applied broadly across populations but have limitations when applied to youth. The authors propose a conceptual framework specifically designed for classifying youth physical activity. Methods: The Youth Physical Activity Timing, How, and Setting (Y-PATHS) framework is a conceptualization of the when (timing), how , and where (setting) of children’s and adolescents’ physical activity patterns. The authors developed Y-PATHS using the design thinking process, which includes 3 stages: inspiration, ideation, and implementation. Results: The Y-PATHS includes 3 major components (timing, how, and setting) and 13 subcomponents. Timing subcomponents include (1) school days: in-school, (2) school days: out-of-school, and (3) nonschool days. How subcomponents include: (1) functional, (2) transportation, (3) organized, and (4) free play. Setting subcomponents include: (1) natural areas, (2) schools, (3) home, (4) recreational facilities, (5) shops and services, and (6) travel infrastructure. Conclusions: The Y-PATHS is a comprehensive classification framework that can help researchers, practitioners, and policymakers to better understand youth physical activity. Specifically, Y-PATHS can help to identify the domains of youth physical activity for surveillance and research and to inform the planning/evaluation of more comprehensive physical activity programming.

Centers for Disease Control (CDC) guidelines recommend schools use a coordinated health approach to support healthy eating and physical activity. This study examines whether the number of healthy eating and physical activity programs and activities used by schools and their perceived success relate to students’ health-related fitness. This observational study used data from the Healthy Zone Schools Program. Data (collected in 2017–2019) were integrated from three sources: (1) school surveys, (2) FitnessGram®, and (3) the Texas Education Agency. Independent variables were the number of health promotion programs and activities and their perceived success; dependent variables were meeting Healthy Fitness Zone Standards (HFZ) for aerobic capacity and body mass index (BMI). We used mixed-effects logistic regression models. Fifty-six schools were in the analytic sample (n = 15,096 students with aerobic capacity data and n = 19,969 with BMI data). Results indicated the perceived success of physical activity programs/activities was significantly associated with students meeting HFZ standards for aerobic capacity (OR = 1.32, CI = 1.06–1.63). There was a significant direct association between the number of physical activity and healthy eating activities implemented (OR = 1.04, CI = 1.01–1.06) and students meeting HFZ for BMI. Schools using multiple health programs and activities need to balance the number provided with their capacity to maintain success.

Obesity represents a significant threat to quality of life and overall health for typically and a typically developing children with those diagnosed with Autism Spectrum Disorder (ASD) having obesity prevalence at least as high as their typically developing counterparts. A systematic review was conducted on publications describing physical activity interventions with children and adolescents diagnosed with Autism Spectrum Disorder (ASD). We searched Ovid PubMed, Medline, Cochrane Library, PsycINFO, PsycNET, Academic Search Complete, and CINAHL, as well as the citations of publications included in the study. Intervention characteristics such as study design, participant age, sample size, mode, frequency, duration, and intensity of activity were abstracted for review. Sixteen studies were selected for review. Aerobic and anaerobic activities were employed across school and community-based settings. Evidence suggests that increasing physical activity in children and adolescents with ASD is likely to improve BMI and physical fitness.

Background The purpose of this study was to: 1) examine the maintenance of Physical Education and physical activity during the distance learning time, 2) determine the resources educators are utilizing to deliver PE curricula, and 3) understand the challenges experienced by educators during distance learning. Methods A survey was sent to a cohort of school-based fitness assessment software users. Respondents were largely school-based individuals including PE teachers ( n = 1789), school ( n = 62) and district administrators ( n = 64), nurses ( n = 3), and “other” ( n = 522). Results Of 2440 respondents, most were from a city or suburb (69.7%), elementary or middle school (72.3%), and had Title 1 status (60.4%), an indicator of low socioeconomic status. Most campuses were closed during the COVID-19 pandemic (97.8%). Of the schools closed during the pandemic, only 2.8% had no prior PE requirements and that increased to 21% during the pandemic. In schools that remained open during the pandemic, 7.7% had no prior PE requirements and this increased to 60.5%. Importantly, 79% of respondents reported that students were either “significantly less” or “somewhat less” physically active during the closure. For closed schools, the most frequently cited challenges included “student access to online learning“, “teacher/student communication” and “teacher remote work arrangements”. For open schools, the most commonly reported challenges included “social distancing”, “access to gymnasium/equipment”, and “concern for personal health and wellbeing”. Conclusion The COVID-19 pandemic has caused important reductions in PE requirements and time engaged in physical activity. Challenges experienced by teachers were identified for closed and open schools.