Organized Sports and Psychosocial Benefits for Adolescents with Autism: Findings from the 2022 National Survey

Organized Sports and Psychosocial Benefits for Adolescents with Autism: Findings from the 2022 National Survey | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Organized Sports and Psychosocial Benefits for Adolescents with Autism: Findings from the 2022 National Survey Youngjun Lee, Darice Brooks, Sanghoon Kim, Janet Hauck This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7349284/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study examined how organized sports activities and physical activity influence psychosocial outcomes in adolescents with autism spectrum disorder, using data from the 2022 National Survey of Children’s Health (n = 717). Adolescents with autism spectrum disorder who participated in organized sports activities reported significantly higher flourishing (1.6 vs. 1.3, p = .043) and better overall health (1.3 vs. 1.4, p < .001) than non-organized sports activities peers. In the non-physical activity subgroup, organized sports activities were associated with improved flourishing (p < .001) and reduced friendship difficulties (p < .001). Two-way ANOVA revealed significant main effects for both physical activity (F = 247.56, p < .001) and organized sports activities (F = 23.21, p < .001) on flourishing, with a significant interaction for overall health (F = 4.41, p = .012). These results suggest that participation in organized sports activities is associated with distinct psychosocial advantages beyond physical activity alone, indicating its potential relevance in promoting well-being among adolescents with autism spectrum disorder. Flourishing social functioning youth mental health inclusive sports programs Figures Figure 1 1 Introduction Physical activity (PA) plays an essential role in supporting both psychosocial well-being and development of adolescents across all demographics (Hallal et al., 2006 ; Spruit et al., 2016 ), including those who have autism spectrum disorder (ASD) (Jachyra et al., 2021 ; Sorensen & Zarrett, 2014 ). ASD affects 1 in 36 children in the United States, with prevalence increasing over time (Maenner, 2023 ). Social and communication deficits and repetitive and restrictive behavior are characteristics of ASD for people on a continuum of severity (Lord et al., 2018 ). Due to its social, communication, and behavioral problems (Chakraborty et al., 2021 ; Miranda et al., 2020 ), ASD can have an enormous effect on a person’s mental health, particularly during the early years of life (Ameis et al., 2022 ; Mandy et al., 2022 ). Research findings demonstrate that PA interventions help manage ASD's primary symptoms, including social interaction difficulties and communication issues, as well as restrictive patterns of behavior while improving physical fitness levels (Chan et al., 2021 ; Levante et al., 2023 ; Sorensen & Zarrett, 2014 ; Toscano et al., 2022 ). Primarily, PA produces benefits that go beyond physiological improvements and ASD symptom reduction because it helps people flourish socially and improve their mental health while also helping them build friendships and maintain better overall health (Huang et al., 2020 ; Srinivasan et al., 2014 ). However, adolescents with ASD experience the benefits of PA but typically participate in less PA compared to their neurotypical counterparts (McCoy & Morgan, 2020 ). Their ability to participate can be limited by their unique characteristics, such as social-communication impairments, motor coordination difficulties, and a lack of accessible programs (Jachyra et al., 2021 ; Reinders et al., 2019 ). In other words, PA offers benefits for ASD traits, but at the same time, these same traits create significant barriers to regular participation in PA. These constraints establish a cycle where insufficient activity increases, leading to social isolation and restricted chances to advance social and communicative skills. This study further focuses on organized sports activities (OA) that systematically combine physical exercise elements with psychosocial development through structured programs. Sports-based interventions represent OA with goal-focused programs under the direction of coaches or instructors who guide participants to follow the rules and achieve common targets. Structured goal-oriented sports programs include activities such as swimming and martial arts, horseback riding, and team games like soccer or basketball (Howie et al., 2020 ). Numerous systematic reviews and meta-analyses (Levante et al., 2023 ; Sowa & Meulenbroek, 2012 ) have shown that these OA interventions produce beneficial results across several areas in the populations with ASD. These activities advance motor coordination, aerobic fitness, and muscular strength, significantly enhancing social and communication skills (Huang et al., 2020 ; Sorensen & Zarrett, 2014 ; Toscano et al., 2022 ). In addition, research shows that OA leads adolescents with ASD to experience better psychological well-being along with expanded social connections and improved coping methods (Morales et al., 2022 ; Vetri & Roccella, 2020 ; Zborowska, 2024 ). These supervised, structured environments offer peer-interactive settings that fulfill the recognized need for safe spaces where practices and reinforcements of social reciprocity and emotional regulation alongside joint attention can occur. The benefits of OA could become more significant after the COVID-19 pandemic since adolescents with ASD suffer from broken service delivery and reduced access to community-based OA during the pandemic period, leading to inactivity (Pagoto & Conroy, 2021 ). Moreover, the COVID-19 pandemic and its social distancing policies have intensified psychological vulnerabilities in adolescents, who then face heightened challenges during the transition away from pandemic restrictions (Baweja et al., 2022 ; Pellicano et al., 2022 ). Consequently, this disruption of social interactions caused by this phenomenon poses severe developmental challenges for adolescents with ASD by impeding their acquisition of essential social skills, which could result in enduring negative consequences. However, OA could provide meaningful real-world opportunities to practice social and communicative skills together with motor abilities as pandemic restrictions begin to lift. Structured sports like soccer and basketball require teamwork and rule-following, which supports social interaction to drive psychosocial development faster than general physical activity achieves in this transitioning period from pandemic to everyday life. In sum, the purpose of this study is to examine how PA and OA affect the psychological well-being and social connections of adolescents with ASD using data from the 2022 National Survey of Children’s Health (NSCH). Specifically, we investigate the individual and combined effects of PA and OA participation on mental health and psychosocial outcomes in adolescents with ASD to identify effective intervention strategies. Through this work, we will guide educational initiatives while supporting community programs and policy designs that will widen access to sports opportunities. 2 Methods 2.1. Overview and study population The research analyzed data from the 2022 NSCH, an annual cross-sectional survey performed through addresses that investigates the health status of U.S. children aged between 0 and 17 years. The Health Resources and Services Administration's Maternal and Child Health Bureau (HRSA MCHB) funds and directs the survey while the U.S. Census Bureau conducts it. They gathered data between July 2022 and January 2023, with participant responses available in English and Spanish. In each household, a single child selected randomly was surveyed by parents or caregivers who knew about that child's health status through either web-based or paper forms. The survey featured three tailored versions for different child age groups, which included ages 0–5, 6–11, and 12–17. The survey instrument addressed multiple areas, such as physical and mental health conditions, while examining family structures, neighborhood traits, and social environments. The survey methodology integrated expert assessments with cognitive interviewing and community-based testing to improve data accuracy and guarantee that age-specific measures were applied (Initiative, 2023). A total of 54,103 complete surveys were collected for the 2022 NSCH. The study identified 19,028 adolescents between 12 and 17 years old. We retained 17,402 participants following the exclusion of cases with incomplete data. The final analysis included 717 participants after further narrowing the sample to adolescents who have ASD. The survey reached a weighted response rate of 39.1% while maintaining an interview completion rate of 78.5% (Initiative, 2023). Four survey items were included to assess psychosocial outcomes: ‘flourishing,’ ‘difficulties in making and keeping friends,’ ‘mental, emotional, developmental or behavioral problems,’ and ‘overall health status.’ Survey data were weighted and adjusted to account for the probability of selection and nonresponse, ensuring national representativeness (Initiative, 2023). The analysis employed SUDAAN 11.0.1 to modify variance estimates according to the complex survey design. Through this method, researchers achieved more precise calculations of both national and state-level school readiness indicators. The research methodology integrates findings from earlier studies with changes to the pilot HRTL measure alongside input from expert critiques and cognitive interviews and tests within communities to enhance survey material (Initiative, 2023). [Table 1 here] 2.2. Measures The study collected participants' descriptive characteristics, including age, height, body weight, sex, BMI, and race through parental reporting. Participants provided birth years; researchers used NSCH standards to categorize their ages (Initiative, 2023). Parents supplied height and body weight data that enabled researchers to calculate BMI-for-age according to the CDC classification system (Flegal et al., 2002). The research documented sex as male or female according to parental responses, while race was designated using the categories established in national health surveys. To assess the emotional and mental health components among adolescents with ASD, several measures were included: Standardized survey items assessing positive mental health indicators served as the basis for evaluating ‘Flourishing’. For the 'Flourishing' measure, a score of 1 corresponds to reporting 'All or most of the time' for 0-1 items, a score of 2 corresponds to reporting 'All or most of the time' for 2-3 items, and a score of 3 corresponds to reporting 'All or most of the time' for all 4 items. Parental reports were used to evaluate how well children formed and sustained friendships, evaluating the ‘Difficulties in Making and keeping friends’. For the 'Difficulties in Making and keeping friends' variable, a score of 1 indicates 'No difficulty', a score of 2 indicates 'A little difficulty', and a score of 3 indicates 'A lot of difficulty'. The study evaluated ‘Mental, emotional, developmental or behavioral problems’ through validated screening tools to detect such challenges. For the 'Mental, emotional, developmental or behavioral problems' variable, a score of 1 indicates that the child has one or more MEDB problems and/or qualifies on the CSHCN Screener emotional, behavioral, or developmental criteria, while a score of 2 indicates that the child does not currently have any mental, emotional, developmental, or behavioral problems. The general health rating scale allowed parents to describe their child's ‘overall health status’ as excellent, very good, good, fair, or poor. For the 'Overall health status' measure, a score of 1 corresponds to 'Excellent or very good', a score of 2 corresponds to 'Good', and a score of 3 corresponds to 'Fair or poor'. These measures provide comprehensive insight into participants' psychological aspects and characteristics (Initiative, 2023). 2.3. Autism spectrum disorder (ASD) Parent-reported diagnoses determined the presence of ASD within the NSCH dataset. The survey asked parents if a healthcare provider had ever diagnosed their child with autism, Asperger's syndrome, or any other ASD. Respondents who answered "yes" were classified as part of the ASD group, whereas those who answered "no" were excluded. 2.4. Physical activity (PA) The ‘Physical Activity’ variable from the 2022 NSCH was used to evaluate PA. Caregivers and parents reported the number of days in the past week their child participated in at least 60 minutes of PA through exercise or sports. While the original dataset categorized response into four categories (0 days, 1-3 days, 4-6 days, and every day), we reclassified the data based on the established PA ACSM guidelines (Medicine, 2013). Specifically, participants who reported being active for 60 minutes on all 7 days were classified as meeting the PA guidelines, whereas those who were active for fewer than 7 days were classified as not meeting the guidelines, in alignment with the daily PA recommendation set by the ACSM (Medicine, 2013). 2.5. Organized sports activity The NSCH dataset's ‘Organized Sports Activity’ variable measured participation in OA. This indicator shows whether children took part in extracurricular sports teams or lessons during the previous year. The survey responses were entered as one (yes) or two (no). We evaluated variables to assess how participation in OA influenced different health and psychosocial results. 2.6. Statistical analysis This study reported continuous variables using mean values and standard errors. We used independent t-tests to analyze differences in emotional and mental health components between non-OA versus OA and non-PA versus PA groups while examining the whole sample. Two-way analyses of variance (ANOVA) examined emotional and mental health differences between non-OA and OA participants and non-PA and PA participants. Effect sizes were calculated using partial eta-squared (η²). After finding a significant interaction effect in the two-way ANOVA, the study implemented the Bonferroni post-hoc test to examine the PA-specificity of dependent variables within non-OA and OA groups separately. Version 30.0.0 of IBM SPSS Statistics for Windows was the statistical analysis tool with a significance threshold of 0.05. 3 Results Table 1 includes demographics and baseline characteristics for the study's 717 adolescent participants with ASD. The research classified participants by their engagement status in ‘Non-OA’ versus ‘OA’ while further dividing them by PA status into ‘Non-PA’ (n = 666) and ‘PA’ (n = 51) groups. The Non-OA group contains adolescents who did not participate in structured sports activities, which are coach-led or instructor-directed programs (n = 538). In contrast, the OA group includes adolescents who have joined organized sports (n = 179). The non-PA group comprises adolescents below the ACSM exercise guideline (Medicine, 2013) of at least 60 minutes of daily exercise. Still, the PA group includes adolescents who achieved these guidelines. 3.1. Participants demographics and baseline characteristics There were no significant age (14.6 ± 0.1 years for Non-OA versus 14.6 ± 0.3 years for OA; p = 09.12), height (166.5 ± 1.0 cm for Non-OA versus 167.6 ± 1.9 cm for OA; p = 0.600), or body weight (65.3 ± 1.4 kg for Non-OA versus 64.4 ± 2.2 kg for OA; p = 0.736) differences between samples of the Non-OA and OA groups. Subgroup analysis results demonstrated that the Non-PA group had matching age values at 14.6 ± 0.1 and 14.6 ± 0.3 years for Non-OA and OA, respectively, with a p-value at 0.924 while the PA group displayed a minor but statistically insignificant age difference showing Non-OA at 13.7 ± 0.3 years and OA at 14.4 ± 0.6 years with a p-value at 0.322. Male participants outnumbered females in all groups, with 79.1 ± 4.8% males in OA participants compared to 74.8 ± 3.1% in Non-OA participants. In comparison, males represented 94.7 ± 4.4% and 92.4 ± 5.5% in OA and Non-OA, respectively, within the PA subgroup. Although overall differences were not statistically significant, a trend was observed regarding BMI classification: OA participants held a more significant percentage within the healthy weight bracket (59.4 ± 5.9%) than non-OA participants (52.6 ± 4.1%). Non-OA subjects showed more overweight/obesity rates (41.4 ± 4.2% compared to 34.2 ± 5.6%). The study found that Black or African American adolescents had higher representation in the OA group at 21.9 ± 7.3% compared to 11.2 ± 2.9%, while Asian adolescents showed higher participation in OA at 9.4 ± 3.2% compared to 1.9 ± 0.7%. White participants were more prevalent in Non-OA (91.1 ± 5.8%) than OA (78.8 ± 15.4%) within the PA subgroup, while Black or African American participants showed higher numbers in OA (18.1 ± 15.5%) compared to Non-OA (6.9 ± 5.3%) also within the PA subgroup. 3.2. Psychosocial health outcomes Table 2 summarizes key psychosocial indicators assessed in the study, including flourishing, difficulties in making and keeping friends, mental/emotional/behavioral problems, and overall health status. [Table 2 here] 3.2.1. Flourishing The research showed that OA participants demonstrated significantly higher overall flourishing scores than Non-OA participants (1.6 ± 0.1 vs. 1.3 ± 0.1 with p = 0.043). The Non-PA group showed that OA participants achieved higher scores (1.7 ± 0.1) than their Non-OA peers (1.4 ± 0.1) (p < 0.001), while the PA group demonstrated a similar pattern with OA participants scoring 1.2 ± 0.3 and Non-OA participants scoring 1.1 ± 0.4 (p < 0.05).The two-way ANOVA showed significant main effects for PA (F = 247.562, p < 0.001, η² = 0.014) and OA (F = 23.210, p < 0.001, η² = 0.001), but the PA and OA interaction remained insignificant (p = 0.242). 3.2.2. Difficulties in making and keeping friends OA participants generally experienced fewer difficulties (2.2 ± 0.1 compared to 2.4 ± 0.1), yet this difference proved statistically insignificant within the entire sample (p = 0.127). The non-PA group participating in OA reported significantly fewer friendship difficulties than their non-OA peers (p < 0.001). The statistical analysis showed PA exerted a strong main effect (F = 913.377, p < 0.001, η² = 0.051), and OA demonstrated a modest yet significant effect (F = 5.047, p = 0.025). However, no significant interaction between these variables was found (p = 0.333). 3.2.3. Mental, emotional, developmental, or behavioral problems Statistical analysis revealed no meaningful differences between OA and Non-OA groups (1.1 ± 0.0 versus 1.0 ± 0.0). The statistical analysis revealed that PA participation produced a significant main effect (F = 532.188, p < 0.001, η² = 0.030). The primary influence of OA did not achieve statistical significance (p = 0.101), nor did the combined effect of PA and OA (p = 0.191). 3.2.4. Overall health status Participants with OA had better overall health ratings (1.3 ± 0.1) compared to Non-OA participants (1.4 ± 0.0), but this health rating difference proved statistically insignificant for the overall sample (p = 0.176). Among non-PA participants who practiced OA, their health assessments were significantly better than those who did not practice OA (p < 0.001). Among PA participants who practiced OA, their health assessments were significantly better than those who did not practice OA (p < 0.05). ANOVA revealed significant main effects for PA (F = 110.361, p < 0.001, η² = 0.006) and OA (F = 25.652, p < 0.001, η² = 0.001), along with a significant interaction effect (PA × OA: Results of the interaction analysis (F = 4.415, p = 0.012, η² < 0.00 [Figure 1 here] 4 Discussions This study provides evidence of an association between OA participation and better psychosocial outcomes among adolescents with ASD, although causal relationships cannot be established due to the cross-sectional design. Adolescents who participate in OA experience better well-being and social connection success, particularly when they do not meet daily PA requirements, along with higher health scores. The results indicate that OA programs can reduce social isolation and increased developmental issues. The fact that OA participants exhibit higher flourishing scores than their counterparts indicates that sports-based interventions provide more than just PA through their structured framework. Integrating PA with organized social interactions and purposeful tasks substantially improves emotional, social, and psychological well-being factors that define flourishing (Tweed et al., 2021 ). Adolescents with ASD who struggle with social communication and peer interaction (Lord et al., 2018 ) benefit from OA because it combines structured routines with teamwork and peer support to boost self-esteem and emotional regulation (Appelqvist-Schmidlechner et al., 2023 ; Dolenc, 2015 ; Findlay & Coplan, 2008 ). Therefore, even if adolescents with ASD do not meet the PA guidelines (Medicine, 2013 ), regular participation in OA is associated with various positive psychosocial indicators—such as enhanced flourishing and perceptions of better quality of life. The unique attributes of OA create this phenomenon beyond the traditional PA. Unlike independent exercise activities, OA provides a structured framework with clear exercise routines and regular social interaction, facilitating a more supportive developmental experiences (Chen et al., 2020 ; Logan et al., 2019 ). This structured activities also promote essential life skills, including teamwork and discipline, alongside self-regulation, which serve as advantageous tools for adolescents with ASD (Howells et al., 2019 ). Furthermore, OA's supportive community-based approach supplements lower PA with emotional stability and social bonds to enhance mental health and quality of life (Bohnert et al., 2019 ; Howells et al., 2019 ; Zborowska, 2024 ). Adolescents with ASD who participate in OA reported lower difficulty scores compared to their counterparts who did not participate in OA only in the Non-PA sub-group. The social and cooperative environment provided by OA creates an ideal setting for children with ASD to practice and improve interpersonal abilities that they typically struggle with (Bohnert et al., 2019 ). These programs enable adolescents to conquer everyday social communication and relationship development obstacles through structured routines and guided interactions combined with teamwork (Zhao & Chen, 2018 ). Participants who fell short of recommended PA guidelines still experienced friendship benefits through OA’s social and behavioral dynamics. The study confirms earlier research findings that show structured interventions involving peers help adolescents with ASD gain social skills, which lead to improved psychosocial results (Bohnert et al., 2019 ; Howells et al., 2019 ). However, these benefits did not manifest in the PA sub-group among adolescents who met the PA guidelines. One potential explanation for the absence of a similar trend in the PA sub-group is that adolescents who meet the PA guidelines may already be engaging in sufficient PA, which in itself can facilitate social interaction and skill development (Colombo-Dougovito & Lee, 2020 ). People who engage in sufficient PA benefit from regular social interaction opportunities, which diminishes the added value of structured social interaction from OA. The Non-PA sub-group experiences limited social engagement opportunities, which makes their participation in OA particularly beneficial for developing interpersonal skills through structured cooperative experiences. The PA group's social skills may have already reached high levels before the intervention, which makes it more challenging to observe additional progress. The statistical power to detect minor variations in friendship struggles between OA participants and non-OA participants may be reduced due to the PA subgroup's smaller sample size. The multidimensional advantages of these OA become evident through higher overall health status ratings than their counterparts among OA participants across non-PA and PA subgroups. It means that the parents or caregivers of adolescents with ASD perceive OA as beneficial for their children's mental and physical health. The non-PA sub-group, individuals who did not meet standard PA requirements, benefited from OA participation, which underlines the value of these OA programs for people with limited access to PA. OA provides a beneficial health improvement strategy for adolescents with ASD or those who encounter obstacles to traditional PA due to disabilities or other limitations (Edwards et al., 2024 ). Sports-based programs demonstrate comprehensive advantages because they affect both physical fitness and mental well-being, which shows they target psychosocial and physiological growth together in the population with ASD (Grosprêtre et al., 2024 ; Levante et al., 2023 ). Thus, it becomes essential to advance programs and policies that drive OA involvement for people with disabilities, including ASD, through college and community initiatives, even when their PA does not match standard guidelines. Supporting these OA programs allows stakeholders to provide people who experience difficulties participating in conventional PA with alternative health improvement and psychosocial development options. Overall, our results contribute to the literature, highlighting the health-related advantages of PA and OA for individuals with ASD (Huang et al., 2020 ; Jachyra et al., 2021 ; Levante et al., 2023 ; Morales et al., 2022 ; Sorensen & Zarrett, 2014 ; Sowa & Meulenbroek, 2012 ; Toscano et al., 2022 ; Vetri & Roccella, 2020 ; Zborowska, 2024 ). Existing reviews and meta-analyses confirm that PA and OA help mitigate core ASD symptoms, such as social deficits and repetitive behaviors, while also promoting motor skill development (Huang et al., 2020 ; Toscano et al., 2022 ). Building on this foundation, our research demonstrates that OA provides unique psychosocial benefits beyond general PA, particularly through structured peer interactions. In addition, our findings can be viewed the lens of social modeling theory (Bandura, 1999 ) and contribute the broader literature on the role of social modeling. Social modeling theory posits that individuals acquire social skills and behaviors through observation, imitation, and guided participation in social interactions. Previous research has established that team-based sports are particularly effective in enhancing social engagement, fostering teamwork, and strengthening peer interactions among participants (CITE). Beyond facilitating social interactions, team-based sports also cultivate a sense of belonging and community, which plays a crucial role in shaping social attitudes and improving communication abilities (CITE). Consistent with prior literature, our study further confirms and extends these findings, demonstrating that the structured framework of OA provides a socially enriched environment that facilitates the development of communication and interaction skills in adolescents with ASD. By situating these results within social modeling theory, our research underscores the potential of OA as an effective intervention strategy for improving social functioning and psychosocial well-being in this population. This research provides important insights that affect educators, clinicians, and policymakers. First, there is a clear need to promote and expand OA programs that serve specifically adolescents with ASD. Educational institutions and community groups need to implement specialized OA programs that address the distinct social and motor difficulties experienced by this population. Second, educational authorities and funding bodies might prioritize programs that connect general PA with OA in their policy initiatives. The research indicates that interventions must expand beyond increasing total PA and prioritize improving the OA's structure and quality. Policy changes could provide financial assistance for participation fees and transportation options to sports facilities while creating sensory-friendly environments that meet the diverse needs of adolescents with ASD. There is another significance from analyzing this 2022 NSCH data, which is in the recovery phase from the pandemic. Maintaining community cohesion and rebuilding social skills during this recovery phase are especially critical (Soares, 2025 ). The current pandemic recovery work emphasizes rebuilding community bonds and social routines (Xie et al., 2022 ). According to Pagoto and Conroy (Pagoto & Conroy, 2021 ), prolonged social distancing during the pandemic intensified feelings of isolation and anxiety among adolescents and mainly affected individuals with ASD (Kalvin et al., 2021 ; Lugo-Marín et al., 2021 ). In this context, OA can be a physical rehabilitation tool critical for restoring social networks while helping restore psychosocial balance in individuals with ASD (Bohnert et al., 2019 ; Levante et al., 2023 ). OA programs can assist adolescents with ASD by meeting their urgent psychosocial needs while providing extended advantages in improved life quality in this transitioning period from pandemic to everyday life. The study's positive results must be examined alongside its various limitations. First, we use a cross-sectional design that limits the ability to establish causal links between OA participation and improved psychosocial outcomes. Second, dependence on parental reports to gather key measures can create bias because parents may view their child's health and behavior differently than how the child experiences them or compared to objective evaluations (Gandhi et al., 2015 ; Waters et al., 2003 ). Third, the limited number of adolescents who followed the ACSM PA guidelines (n = 51) reduces the ability to apply the findings widely to the PA subgroup. It can decrease the statistical power needed to identify minor effects. Fourth, although the NSCH dataset reflects national demographics (Initiative, 2023 ), it may not fully represent the detailed aspects of OA participation and quality metrics, including program intensity, duration, and activity types like team versus individual sports. Lastly, unmeasured confounding variables, including socioeconomic status, family support, and ASD symptom severity, might have influenced OA's observed outcomes and participation rates. Future studies should use longitudinal and experimental methods to determine the causal factors behind OA benefits, while qualitative research into adolescents with ASD's personal sports experiences will offer a deeper understanding of social dynamics and individual development within these programs. A deeper exploration into how different OA affect participants and how outside factors can influence these effects would enable better-designed interventions to serve this diverse group effectively. Furthermore, to elucidate the underlying mechanisms of OA’s benefits, it is essential to conduct a mediation analysis exploring whether the psychosocial variables measured in this study—such as flourishing, difficulties in making and keeping friends, and mental/emotional/behavioral problems—mediate the relationship between OA participation and overall health status. Such an analysis could provide valuable insights into how OA contributes to improved overall health. It would inform the design of targeted interventions to maximize both psychosocial and physical outcomes for adolescents with ASD. Finally, exploring potential moderating factors such as socioeconomic status, family support, and the severity of ASD symptoms could further elucidate which subgroups benefit most from OA and inform more personalized intervention strategies. In conclusion, this study suggests that OA may be a valuable component associated with better psychosocial outcomes among adolescents with ASD. However, longitudinal or experimental research is needed to confirm causal effects. OA combines structured PA and social interaction to create a comprehensive method for meeting the multifaceted needs of this population. Research supports the need to broaden specialized OA programs to serve as essential elements in interventions that promote mental health and social inclusion while improving general well-being for adolescents with ASD. These insights provide potential benefits to shape upcoming research efforts and develop policy strategies while enhancing the living standards of our most vulnerable groups. Declarations 5.1. Ethical Approval This study involved secondary analysis of publicly available, de-identified data from the 2022 National Survey of Children’s Health and did not require ethics approval. Consent to participate and consent to publish are not applicable. 5.2. Funding Not applicable 5.3. Availability of data and materials The dataset analyzed during the current study is publicly available from the Data Resource Center for Child and Adolescent Health (https://www.childhealthdata.org/). 5.4. Authors’ Contributions YL led data analysis and interpretation and drafted the manuscript. DB assisted with data cleaning, and manuscript editing. SK supervised data analysis and contributed to the interpretation of results. 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BMC Public Health , 15 , 1-10. Grosprêtre, S., Ruffino, C., Derguy, C., & Gueugneau, N. (2024). Sport and Autism: What Do We Know so Far? A Review. SPORTS MEDICINE-OPEN , 10 (1), 107. Hallal, P. C., Victora, C. G., Azevedo, M. R., & Wells, J. C. (2006). Adolescent physical activity and health: a systematic review. SPORTS MEDICINE , 36 , 1019-1030. Howells, K., Sivaratnam, C., May, T., Lindor, E., McGillivray, J., & Rinehart, N. (2019). Efficacy of group-based organised physical activity participation for social outcomes in children with autism spectrum disorder: a systematic review and meta-analysis. JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS , 49 , 3290-3308. Howie, E. K., Daniels, B. T., & Guagliano, J. M. (2020). Promoting physical activity through youth sports programs: It’s social. American Journal of Lifestyle Medicine , 14 (1), 78-88. Huang, J., Du, C., Liu, J., & Tan, G. (2020). Meta-analysis on intervention effects of physical activities on children and adolescents with autism. International Journal of Environmental Research and Public Health , 17 (6), 1950. Initiative, C. a. A. H. M. (2023). 2022 National Survey of Children’s Health, Sampling and Survey Administration . s. b. t. U. S. D. o. H. a. H. S. Data Resource Center for Child and Adolescent Health, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB). https://www.childhealthdata.org Jachyra, P., Renwick, R., Gladstone, B., Anagnostou, E., & Gibson, B. E. (2021). Physical activity participation among adolescents with autism spectrum disorder. Autism , 25 (3), 613-626. Kalvin, C. B., Jordan, R. P., Rowley, S. N., Weis, A., Wood, K. S., Wood, J. J., Ibrahim, K., & Sukhodolsky, D. G. (2021). Conducting CBT for anxiety in children with autism spectrum disorder during COVID-19 pandemic. JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS , 1-9. Levante, A., Martis, C., Antonioli, G., Dima, M., Duma, L., Perrone, M., Russo, L., & Lecciso, F. (2023). The Effect of Sports Activities on Motor and Social Skills in Autistic Children and Adolescents: a Systematic Narrative Review. Current Developmental Disorders Reports , 10 (3), 155-174. Logan, K., Cuff, S., LaBella, C. R., Brooks, M. A., Canty, G., Diamond, A. B., Hennrikus, W., Moffatt, K., Nemeth, B. A., & Pengel, K. B. (2019). Organized sports for children, preadolescents, and adolescents. Pediatrics , 143 (6). Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The lancet , 392 (10146), 508-520. Lugo-Marín, J., Gisbert-Gustemps, L., Setien-Ramos, I., Español-Martín, G., Ibañez-Jimenez, P., Forner-Puntonet, M., Arteaga-Henríquez, G., Soriano-Día, A., Duque-Yemail, J. D., & Ramos-Quiroga, J. A. (2021). COVID-19 pandemic effects in people with Autism Spectrum Disorder and their caregivers: Evaluation of social distancing and lockdown impact on mental health and general status. Research in Autism Spectrum Disorders , 83 , 101757. Maenner, M. J. (2023). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2020. MMWR. Surveillance Summaries , 72 . Mandy, W., Midouhas, E., Hosozawa, M., Cable, N., Sacker, A., & Flouri, E. (2022). Mental health and social difficulties of late‐diagnosed autistic children, across childhood and adolescence. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY , 63 (11), 1405-1414. McCoy, S. M., & Morgan, K. (2020). Obesity, physical activity, and sedentary behaviors in adolescents with autism spectrum disorder compared with typically developing peers. Autism , 24 (2), 387-399. Medicine, A. C. o. S. (2013). ACSM's guidelines for exercise testing and prescription . Lippincott williams & wilkins. Miranda, A., Berenguer, C., Roselló, B., & Baixauli, I. (2020). Relationships between the social communication questionnaire and pragmatic language, socialization skills, and behavioral problems in children with autism spectrum disorders. Applied Neuropsychology: Child , 9 (2), 141-152. Morales, J., Pierantozzi, E., Fukuda, D. H., Garcia, V., Guerra-Balic, M., Sevilla-Sánchez, M., & Carballeira, E. (2022). Improving motor skills and psychosocial behaviors in children with autism spectrum disorder through an adapted judo program. FRONTIERS IN PSYCHOLOGY , 13 , 1067310. Pagoto, S. L., & Conroy, D. E. (2021). Revitalizing adolescent health behavior after the COVID-19 pandemic. JAMA PEDIATRICS , 175 (7), 677-679. Pellicano, E., Brett, S., den Houting, J., Heyworth, M., Magiati, I., Steward, R., Urbanowicz, A., & Stears, M. (2022). COVID-19, social isolation and the mental health of autistic people and their families: A qualitative study. Autism , 26 (4), 914-927. Reinders, N. J., Branco, A., Wright, K., Fletcher, P. C., & Bryden, P. J. (2019). Scoping review: Physical activity and social functioning in young people with autism spectrum disorder. FRONTIERS IN PSYCHOLOGY , 10 , 120. Soares, L. (2025). Nurture social skills in autism in a postpandemic era. In Understanding Autism (pp. 323-333). Elsevier. Sorensen, C., & Zarrett, N. (2014). Benefits of physical activity for adolescents with autism spectrum disorders: A comprehensive review. Review Journal of Autism and Developmental Disorders , 1 , 344-353. Sowa, M., & Meulenbroek, R. (2012). Effects of physical exercise on Autism Spectrum Disorders: A meta-analysis. Research in Autism Spectrum Disorders , 6 (1), 46-57. https://doi.org/10.1016/j.rasd.2011.09.001 Spruit, A., Assink, M., van Vugt, E., van der Put, C., & Stams, G. J. (2016). The effects of physical activity interventions on psychosocial outcomes in adolescents: A meta-analytic review. Clinical Psychology Review , 45 , 56-71. Srinivasan, S. M., Pescatello, L. S., & Bhat, A. N. (2014). Current perspectives on physical activity and exercise recommendations for children and adolescents with autism spectrum disorders. PHYSICAL THERAPY , 94 (6), 875-889. Toscano, C. V., Ferreira, J. P., Quinaud, R. T., Silva, K. M., Carvalho, H. M., & Gaspar, J. M. (2022). Exercise improves the social and behavioral skills of children and adolescent with autism spectrum disorders. FRONTIERS IN PSYCHIATRY , 13 , 1027799. Tweed, L. M., Rogers, E. N., & Kinnafick, F.-E. (2021). Literature on peer-based community physical activity programmes for mental health service users: a scoping review. Health psychology review , 15 (2), 287-313. Vetri, L., & Roccella, M. (2020). On the Playing Field to Improve: A Goal for Autism. MEDICINA-LITHUANIA , 56 (11), Article 585. https://doi.org/10.3390/medicina56110585 Waters, E., Stewart‐Brown, S., & Fitzpatrick, R. (2003). Agreement between adolescent self‐report and parent reports of health and well‐being: Results of an epidemiological study. Child: care, health and development , 29 (6), 501-509. Xie, L., Pinto, J., & Zhong, B. (2022). Building community resilience on social media to help recover from the COVID-19 pandemic. Computers in Human Behavior , 134 , 107294. Zborowska, A. M. (2024). The role of physical activity and sport in children and adolescents with autism spectrum disorder (ASD): A narrative review. Sports Psychiatry: Journal of Sports and Exercise Psychiatry . Zhao, M., & Chen, S. (2018). The effects of structured physical activity program on social interaction and communication for children with autism. Biomed Research International , 2018 (1), 1825046. Tables Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7349284","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":506376973,"identity":"7766b50d-e547-46f6-aa27-521402ac737f","order_by":0,"name":"Youngjun Lee","email":"","orcid":"","institution":"Michigan State University","correspondingAuthor":false,"prefix":"","firstName":"Youngjun","middleName":"","lastName":"Lee","suffix":""},{"id":506376974,"identity":"8c7568f2-5b6e-449a-8467-91a220711cd2","order_by":1,"name":"Darice Brooks","email":"","orcid":"","institution":"Michigan State University","correspondingAuthor":false,"prefix":"","firstName":"Darice","middleName":"","lastName":"Brooks","suffix":""},{"id":506376976,"identity":"56c6821e-54cf-44dd-ada3-9783cd1f1f96","order_by":2,"name":"Sanghoon Kim","email":"","orcid":"","institution":"Michigan State University","correspondingAuthor":false,"prefix":"","firstName":"Sanghoon","middleName":"","lastName":"Kim","suffix":""},{"id":506376977,"identity":"d92adff9-0ad5-4d44-ad0a-d760ca89bcb2","order_by":3,"name":"Janet Hauck","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAw0lEQVRIiWNgGAWjYBACAyBmbOBh4OGH8JmJ1yIj2UCaFgYGG4MDxGoxZz9j+HGGjB2P8bXjzyQYKqwTGwhpsezJMZbcwJPMY3Y7x0yC4Uw6YS0GB3LMGB/wMIO0sEkwth0mQsv5NyAt9TzGs9OfSTD+I0bLDaAtG3gO8xhIJ5hJMDYQpeVZseQMnuM8ErdzjC0SjqUbE+Gw5I0fe3uq7flnpz+88aHGWpagFjBg7IEyEohSDgY/iFc6CkbBKBgFIxAAAAVsOyAhu4q6AAAAAElFTkSuQmCC","orcid":"","institution":"Michigan State University","correspondingAuthor":true,"prefix":"","firstName":"Janet","middleName":"","lastName":"Hauck","suffix":""}],"badges":[],"createdAt":"2025-08-11 19:38:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7349284/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7349284/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":90310759,"identity":"f722017d-db7a-4667-8603-40068462c636","added_by":"auto","created_at":"2025-09-01 09:45:37","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":515204,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of Flourishing, Social Difficulties, Mental, emotional, developmental, or behavioral problems, and Overall Health Status by OA and PA Status. † \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05, †† \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01, ††† \u003cem\u003ep \u003c/em\u003e\u0026lt; 0.001\u003c/p\u003e","description":"","filename":"figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7349284/v1/9a3ad38a2e41cb5b2ea82451.jpg"},{"id":92926206,"identity":"99b17f52-2e0e-405e-b6bf-9884e77a919b","added_by":"auto","created_at":"2025-10-07 08:02:21","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1093138,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7349284/v1/d5182ee0-8749-4cd9-bfb8-06a4971c7a84.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Organized Sports and Psychosocial Benefits for Adolescents with Autism: Findings from the 2022 National Survey","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003ePhysical activity (PA) plays an essential role in supporting both psychosocial well-being and development of adolescents across all demographics (Hallal et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Spruit et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), including those who have autism spectrum disorder (ASD) (Jachyra et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Sorensen \u0026amp; Zarrett, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). ASD affects 1 in 36 children in the United States, with prevalence increasing over time (Maenner, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Social and communication deficits and repetitive and restrictive behavior are characteristics of ASD for people on a continuum of severity (Lord et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Due to its social, communication, and behavioral problems (Chakraborty et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Miranda et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), ASD can have an enormous effect on a person\u0026rsquo;s mental health, particularly during the early years of life (Ameis et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Mandy et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eResearch findings demonstrate that PA interventions help manage ASD's primary symptoms, including social interaction difficulties and communication issues, as well as restrictive patterns of behavior while improving physical fitness levels (Chan et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Levante et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Sorensen \u0026amp; Zarrett, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Toscano et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Primarily, PA produces benefits that go beyond physiological improvements and ASD symptom reduction because it helps people flourish socially and improve their mental health while also helping them build friendships and maintain better overall health (Huang et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Srinivasan et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). However, adolescents with ASD experience the benefits of PA but typically participate in less PA compared to their neurotypical counterparts (McCoy \u0026amp; Morgan, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Their ability to participate can be limited by their unique characteristics, such as social-communication impairments, motor coordination difficulties, and a lack of accessible programs (Jachyra et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Reinders et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). In other words, PA offers benefits for ASD traits, but at the same time, these same traits create significant barriers to regular participation in PA. These constraints establish a cycle where insufficient activity increases, leading to social isolation and restricted chances to advance social and communicative skills.\u003c/p\u003e\u003cp\u003eThis study further focuses on organized sports activities (OA) that systematically combine physical exercise elements with psychosocial development through structured programs. Sports-based interventions represent OA with goal-focused programs under the direction of coaches or instructors who guide participants to follow the rules and achieve common targets. Structured goal-oriented sports programs include activities such as swimming and martial arts, horseback riding, and team games like soccer or basketball (Howie et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Numerous systematic reviews and meta-analyses (Levante et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Sowa \u0026amp; Meulenbroek, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2012\u003c/span\u003e) have shown that these OA interventions produce beneficial results across several areas in the populations with ASD. These activities advance motor coordination, aerobic fitness, and muscular strength, significantly enhancing social and communication skills (Huang et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Sorensen \u0026amp; Zarrett, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Toscano et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). In addition, research shows that OA leads adolescents with ASD to experience better psychological well-being along with expanded social connections and improved coping methods (Morales et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Vetri \u0026amp; Roccella, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Zborowska, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). These supervised, structured environments offer peer-interactive settings that fulfill the recognized need for safe spaces where practices and reinforcements of social reciprocity and emotional regulation alongside joint attention can occur.\u003c/p\u003e\u003cp\u003eThe benefits of OA could become more significant after the COVID-19 pandemic since adolescents with ASD suffer from broken service delivery and reduced access to community-based OA during the pandemic period, leading to inactivity (Pagoto \u0026amp; Conroy, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Moreover, the COVID-19 pandemic and its social distancing policies have intensified psychological vulnerabilities in adolescents, who then face heightened challenges during the transition away from pandemic restrictions (Baweja et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Pellicano et al., \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Consequently, this disruption of social interactions caused by this phenomenon poses severe developmental challenges for adolescents with ASD by impeding their acquisition of essential social skills, which could result in enduring negative consequences. However, OA could provide meaningful real-world opportunities to practice social and communicative skills together with motor abilities as pandemic restrictions begin to lift. Structured sports like soccer and basketball require teamwork and rule-following, which supports social interaction to drive psychosocial development faster than general physical activity achieves in this transitioning period from pandemic to everyday life.\u003c/p\u003e\u003cp\u003eIn sum, the purpose of this study is to examine how PA and OA affect the psychological well-being and social connections of adolescents with ASD using data from the 2022 National Survey of Children\u0026rsquo;s Health (NSCH). Specifically, we investigate the individual and combined effects of PA and OA participation on mental health and psychosocial outcomes in adolescents with ASD to identify effective intervention strategies. Through this work, we will guide educational initiatives while supporting community programs and policy designs that will widen access to sports opportunities.\u003c/p\u003e"},{"header":"2 Methods","content":"\u003cp\u003e2.1. Overview and study population\u003c/p\u003e\n\u003cp\u003eThe research analyzed data from the 2022 NSCH, an annual cross-sectional survey performed through addresses that investigates the health status of U.S. children aged between 0 and 17 years. The Health Resources and Services Administration's Maternal and Child Health Bureau (HRSA MCHB) funds and directs the survey while the U.S. Census Bureau conducts it. They gathered data between July 2022 and January 2023, with participant responses available in English and Spanish. In each household, a single child selected randomly was surveyed by parents or caregivers who knew about that child's health status through either web-based or paper forms. The survey featured three tailored versions for different child age groups, which included ages 0–5, 6–11, and 12–17. The survey instrument addressed multiple areas, such as physical and mental health conditions, while examining family structures, neighborhood traits, and social environments. The survey methodology integrated expert assessments with cognitive interviewing and community-based testing to improve data accuracy and guarantee that age-specific measures were applied (Initiative, 2023). A total of 54,103 complete surveys were collected for the 2022 NSCH. The study identified 19,028 adolescents between 12 and 17 years old. We retained 17,402 participants following the exclusion of cases with incomplete data. The final analysis included 717 participants after further narrowing the sample to adolescents who have ASD. The survey reached a weighted response rate of 39.1% while maintaining an interview completion rate of 78.5% (Initiative, 2023). Four survey items were included to assess psychosocial outcomes: ‘flourishing,’ ‘difficulties in making and keeping friends,’ ‘mental, emotional, developmental or behavioral problems,’ and ‘overall health status.’ Survey data were weighted and adjusted to account for the probability of selection and nonresponse, ensuring national representativeness (Initiative, 2023). The analysis employed SUDAAN 11.0.1 to modify variance estimates according to the complex survey design. Through this method, researchers achieved more precise calculations of both national and state-level school readiness indicators. The research methodology integrates findings from earlier studies with changes to the pilot HRTL measure alongside input from expert critiques and cognitive interviews and tests within communities to enhance survey material (Initiative, 2023).\u003c/p\u003e\n\u003cp\u003e[Table 1 here]\u003c/p\u003e\n\u003cp\u003e2.2. Measures\u003c/p\u003e\n\u003cp\u003eThe study collected participants' descriptive characteristics, including age, height, body weight, sex, BMI, and race through parental reporting. Participants provided birth years; researchers used NSCH standards to categorize their ages (Initiative, 2023). Parents supplied height and body weight data that enabled researchers to calculate BMI-for-age according to the CDC classification system (Flegal et al., 2002). The research documented sex as male or female according to parental responses, while race was designated using the categories established in national health surveys. To assess the emotional and mental health components among adolescents with ASD, several measures were included: Standardized survey items assessing positive mental health indicators served as the basis for evaluating ‘Flourishing’. For the 'Flourishing' measure, a score of 1 corresponds to reporting 'All or most of the time' for 0-1 items, a score of 2 corresponds to reporting 'All or most of the time' for 2-3 items, and a score of 3 corresponds to reporting 'All or most of the time' for all 4 items. Parental reports were used to evaluate how well children formed and sustained friendships, evaluating the ‘Difficulties in Making and keeping friends’. For the 'Difficulties in Making and keeping friends' variable, a score of 1 indicates 'No difficulty', a score of 2 indicates 'A little difficulty', and a score of 3 indicates 'A lot of difficulty'. The study evaluated ‘Mental, emotional, developmental or behavioral problems’ through validated screening tools to detect such challenges. For the 'Mental, emotional, developmental or behavioral problems' variable, a score of 1 indicates that the child has one or more MEDB problems and/or qualifies on the CSHCN Screener emotional, behavioral, or developmental criteria, while a score of 2 indicates that the child does not currently have any mental, emotional, developmental, or behavioral problems. The general health rating scale allowed parents to describe their child's ‘overall health status’ as excellent, very good, good, fair, or poor. For the 'Overall health status' measure, a score of 1 corresponds to 'Excellent or very good', a score of 2 corresponds to 'Good', and a score of 3 corresponds to 'Fair or poor'. These measures provide comprehensive insight into participants' psychological aspects and characteristics (Initiative, 2023).\u003c/p\u003e\n\u003cp\u003e2.3. Autism spectrum disorder (ASD)\u003c/p\u003e\n\u003cp\u003eParent-reported diagnoses determined the presence of ASD within the NSCH dataset. The survey asked parents if a healthcare provider had ever diagnosed their child with autism, Asperger's syndrome, or any other ASD. Respondents who answered \"yes\" were classified as part of the ASD group, whereas those who answered \"no\" were excluded.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e2.4. Physical activity (PA)\u003c/p\u003e\n\u003cp\u003eThe \u003cem\u003e‘Physical Activity’\u003c/em\u003e variable from the 2022 NSCH was used to evaluate PA. Caregivers and parents reported the number of days in the past week their child participated in at least 60 minutes of PA through exercise or sports. While the original dataset categorized response into four categories (0 days, 1-3 days, 4-6 days, and every day), we reclassified the data based on the established PA ACSM guidelines (Medicine, 2013). Specifically, participants who reported being active for 60 minutes on all 7 days were classified as meeting the PA guidelines, whereas those who were active for fewer than 7 days were classified as not meeting the guidelines, in alignment with the daily PA recommendation set by the ACSM (Medicine, 2013).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e2.5. Organized sports activity\u003c/p\u003e\n\u003cp\u003eThe NSCH dataset's \u003cem\u003e‘Organized Sports Activity’\u003c/em\u003e variable measured participation in OA. This indicator shows whether children took part in extracurricular sports teams or lessons during the previous year. The survey responses were entered as one (yes) or two (no). We evaluated variables to assess how participation in OA influenced different health and psychosocial results.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e2.6. Statistical analysis\u003c/p\u003e\n\u003cp\u003eThis study reported continuous variables using mean values and standard errors. We used independent t-tests to analyze differences in emotional and mental health components between non-OA versus OA and non-PA versus PA groups while examining the whole sample. Two-way analyses of variance (ANOVA) examined emotional and mental health differences between non-OA and OA participants and non-PA and PA participants. Effect sizes were calculated using partial eta-squared (η²). After finding a significant interaction effect in the two-way ANOVA, the study implemented the Bonferroni post-hoc test to examine the PA-specificity of dependent variables within non-OA and OA groups separately. Version 30.0.0 of IBM SPSS Statistics for Windows was the statistical analysis tool with a significance threshold of 0.05.\u003c/p\u003e"},{"header":"3 Results","content":"\u003cp\u003eTable 1 includes demographics and baseline characteristics for the study\u0026apos;s 717 adolescent participants with ASD. The research classified participants by their engagement status in \u0026lsquo;Non-OA\u0026rsquo; versus \u0026lsquo;OA\u0026rsquo; while further dividing them by PA status into \u0026lsquo;Non-PA\u0026rsquo; (n = 666) and \u0026lsquo;PA\u0026rsquo; (n = 51) groups. The Non-OA group contains adolescents who did not participate in structured sports activities, which are coach-led or instructor-directed programs (n = 538). In contrast, the OA group includes adolescents who have joined organized sports (n = 179). The non-PA group comprises adolescents below the ACSM exercise guideline (Medicine, 2013) of at least 60 minutes of daily exercise. Still, the PA group includes adolescents who achieved these guidelines.\u003c/p\u003e\n\u003cp\u003e3.1. Participants demographics and baseline characteristics\u003c/p\u003e\n\u003cp\u003eThere were no significant age (14.6 \u0026plusmn; 0.1 years for Non-OA versus 14.6 \u0026plusmn; 0.3 years for OA; p = 09.12), height (166.5 \u0026plusmn; 1.0 cm for Non-OA versus 167.6 \u0026plusmn; 1.9 cm for OA; p = 0.600), or body weight (65.3 \u0026plusmn; 1.4 kg for Non-OA versus 64.4 \u0026plusmn; 2.2 kg for OA; p = 0.736) differences between samples of the Non-OA and OA groups. Subgroup analysis results demonstrated that the Non-PA group had matching age values at 14.6 \u0026plusmn; 0.1 and 14.6 \u0026plusmn; 0.3 years for Non-OA and OA, respectively, with a p-value at 0.924 while the PA group displayed a minor but statistically insignificant age difference showing Non-OA at 13.7 \u0026plusmn; 0.3 years and OA at 14.4 \u0026plusmn; 0.6 years with a p-value at 0.322. Male participants outnumbered females in all groups, with 79.1 \u0026plusmn; 4.8% males in OA participants compared to 74.8 \u0026plusmn; 3.1% in Non-OA participants. In comparison, males represented 94.7 \u0026plusmn; 4.4% and 92.4 \u0026plusmn; 5.5% in OA and Non-OA, respectively, within the PA subgroup. Although overall differences were not statistically significant, a trend was observed regarding BMI classification: OA participants held a more significant percentage within the healthy weight bracket (59.4 \u0026plusmn; 5.9%) than non-OA participants (52.6 \u0026plusmn; 4.1%). Non-OA subjects showed more overweight/obesity rates (41.4 \u0026plusmn; 4.2% compared to 34.2 \u0026plusmn; 5.6%). The study found that Black or African American adolescents had higher representation in the OA group at 21.9 \u0026plusmn; 7.3% compared to 11.2 \u0026plusmn; 2.9%, while Asian adolescents showed higher participation in OA at 9.4 \u0026plusmn; 3.2% compared to 1.9 \u0026plusmn; 0.7%. White participants were more prevalent in Non-OA (91.1 \u0026plusmn; 5.8%) than OA (78.8 \u0026plusmn; 15.4%) within the PA subgroup, while Black or African American participants showed higher numbers in OA (18.1 \u0026plusmn; 15.5%) compared to Non-OA (6.9 \u0026plusmn; 5.3%) also within the PA subgroup.\u003c/p\u003e\n\u003cp\u003e3.2. Psychosocial health outcomes\u003c/p\u003e\n\u003cp\u003eTable 2 summarizes key psychosocial indicators assessed in the study, including flourishing, difficulties in making and keeping friends, mental/emotional/behavioral problems, and overall health status.\u003c/p\u003e\n\u003cp\u003e[Table 2 here]\u003c/p\u003e\n\u003cp\u003e3.2.1. Flourishing\u003c/p\u003e\n\u003cp\u003eThe research showed that OA participants demonstrated significantly higher overall flourishing scores than Non-OA participants (1.6 \u0026plusmn; 0.1 vs. 1.3 \u0026plusmn; 0.1 with p = 0.043). The Non-PA group showed that OA participants achieved higher scores (1.7 \u0026plusmn; 0.1) than their Non-OA peers (1.4 \u0026plusmn; 0.1) (p \u0026lt; 0.001), while the PA group demonstrated a similar pattern with OA participants scoring 1.2 \u0026plusmn; 0.3 and Non-OA participants scoring 1.1 \u0026plusmn; 0.4 (p \u0026lt; 0.05).The two-way ANOVA showed significant main effects for PA (F = 247.562, p \u0026lt; 0.001, \u0026eta;\u0026sup2; = 0.014) and OA (F = 23.210, p \u0026lt; 0.001, \u0026eta;\u0026sup2; = 0.001), but the PA and OA interaction remained insignificant (p = 0.242).\u003c/p\u003e\n\u003cp\u003e3.2.2. Difficulties in making and keeping friends\u003c/p\u003e\n\u003cp\u003eOA participants generally experienced fewer difficulties (2.2 \u0026plusmn; 0.1 compared to 2.4 \u0026plusmn; 0.1), yet this difference proved statistically insignificant within the entire sample (p = 0.127). The non-PA group participating in OA reported significantly fewer friendship difficulties than their non-OA peers (p \u0026lt; 0.001). The statistical analysis showed PA exerted a strong main effect (F = 913.377, p \u0026lt; 0.001, \u0026eta;\u0026sup2; = 0.051), and OA demonstrated a modest yet significant effect (F = 5.047, p = 0.025). However, no significant interaction between these variables was found (p = 0.333).\u003c/p\u003e\n\u003cp\u003e3.2.3. Mental, emotional, developmental, or behavioral problems\u003c/p\u003e\n\u003cp\u003eStatistical analysis revealed no meaningful differences between OA and Non-OA groups (1.1 \u0026plusmn; 0.0 versus 1.0 \u0026plusmn; 0.0). The statistical analysis revealed that PA participation produced a significant main effect (F = 532.188, p \u0026lt; 0.001, \u0026eta;\u0026sup2; = 0.030). The primary influence of OA did not achieve statistical significance (p = 0.101), nor did the combined effect of PA and OA (p = 0.191).\u003c/p\u003e\n\u003cp\u003e3.2.4. Overall health status\u003c/p\u003e\n\u003cp\u003eParticipants with OA had better overall health ratings (1.3 \u0026plusmn; 0.1) compared to Non-OA participants (1.4 \u0026plusmn; 0.0), but this health rating difference proved statistically insignificant for the overall sample (p = 0.176). Among non-PA participants who practiced OA, their health assessments were significantly better than those who did not practice OA (p \u0026lt; 0.001). \u0026nbsp;Among PA participants who practiced OA, their health assessments were significantly better than those who did not practice OA (p \u0026lt; 0.05). ANOVA revealed significant main effects for PA (F = 110.361, p \u0026lt; 0.001, \u0026eta;\u0026sup2; = 0.006) and OA (F = 25.652, p \u0026lt; 0.001, \u0026eta;\u0026sup2; = 0.001), along with a significant interaction effect (PA \u0026times; OA: Results of the interaction analysis (F = 4.415, p = 0.012, \u0026eta;\u0026sup2; \u0026lt; 0.00\u003c/p\u003e\n\u003cp\u003e[Figure 1 here]\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"4 Discussions","content":"\u003cp\u003eThis study provides evidence of an association between OA participation and better psychosocial outcomes among adolescents with ASD, although causal relationships cannot be established due to the cross-sectional design. Adolescents who participate in OA experience better well-being and social connection success, particularly when they do not meet daily PA requirements, along with higher health scores. The results indicate that OA programs can reduce social isolation and increased developmental issues.\u003c/p\u003e\u003cp\u003e The fact that OA participants exhibit higher flourishing scores than their counterparts indicates that sports-based interventions provide more than just PA through their structured framework. Integrating PA with organized social interactions and purposeful tasks substantially improves emotional, social, and psychological well-being factors that define flourishing (Tweed et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Adolescents with ASD who struggle with social communication and peer interaction (Lord et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) benefit from OA because it combines structured routines with teamwork and peer support to boost self-esteem and emotional regulation (Appelqvist-Schmidlechner et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Dolenc, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Findlay \u0026amp; Coplan, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Therefore, even if adolescents with ASD do not meet the PA guidelines (Medicine, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), regular participation in OA is associated with various positive psychosocial indicators\u0026mdash;such as enhanced flourishing and perceptions of better quality of life. The unique attributes of OA create this phenomenon beyond the traditional PA. Unlike independent exercise activities, OA provides a structured framework with clear exercise routines and regular social interaction, facilitating a more supportive developmental experiences (Chen et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Logan et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). This structured activities also promote essential life skills, including teamwork and discipline, alongside self-regulation, which serve as advantageous tools for adolescents with ASD (Howells et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Furthermore, OA's supportive community-based approach supplements lower PA with emotional stability and social bonds to enhance mental health and quality of life (Bohnert et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Howells et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Zborowska, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eAdolescents with ASD who participate in OA reported lower difficulty scores compared to their counterparts who did not participate in OA only in the Non-PA sub-group. The social and cooperative environment provided by OA creates an ideal setting for children with ASD to practice and improve interpersonal abilities that they typically struggle with (Bohnert et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). These programs enable adolescents to conquer everyday social communication and relationship development obstacles through structured routines and guided interactions combined with teamwork (Zhao \u0026amp; Chen, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Participants who fell short of recommended PA guidelines still experienced friendship benefits through OA\u0026rsquo;s social and behavioral dynamics. The study confirms earlier research findings that show structured interventions involving peers help adolescents with ASD gain social skills, which lead to improved psychosocial results (Bohnert et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Howells et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). However, these benefits did not manifest in the PA sub-group among adolescents who met the PA guidelines. One potential explanation for the absence of a similar trend in the PA sub-group is that adolescents who meet the PA guidelines may already be engaging in sufficient PA, which in itself can facilitate social interaction and skill development (Colombo-Dougovito \u0026amp; Lee, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). People who engage in sufficient PA benefit from regular social interaction opportunities, which diminishes the added value of structured social interaction from OA. The Non-PA sub-group experiences limited social engagement opportunities, which makes their participation in OA particularly beneficial for developing interpersonal skills through structured cooperative experiences. The PA group's social skills may have already reached high levels before the intervention, which makes it more challenging to observe additional progress. The statistical power to detect minor variations in friendship struggles between OA participants and non-OA participants may be reduced due to the PA subgroup's smaller sample size.\u003c/p\u003e\u003cp\u003eThe multidimensional advantages of these OA become evident through higher overall health status ratings than their counterparts among OA participants across non-PA and PA subgroups. It means that the parents or caregivers of adolescents with ASD perceive OA as beneficial for their children's mental and physical health. The non-PA sub-group, individuals who did not meet standard PA requirements, benefited from OA participation, which underlines the value of these OA programs for people with limited access to PA. OA provides a beneficial health improvement strategy for adolescents with ASD or those who encounter obstacles to traditional PA due to disabilities or other limitations (Edwards et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Sports-based programs demonstrate comprehensive advantages because they affect both physical fitness and mental well-being, which shows they target psychosocial and physiological growth together in the population with ASD (Grospr\u0026ecirc;tre et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Levante et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Thus, it becomes essential to advance programs and policies that drive OA involvement for people with disabilities, including ASD, through college and community initiatives, even when their PA does not match standard guidelines. Supporting these OA programs allows stakeholders to provide people who experience difficulties participating in conventional PA with alternative health improvement and psychosocial development options.\u003c/p\u003e\u003cp\u003eOverall, our results contribute to the literature, highlighting the health-related advantages of PA and OA for individuals with ASD (Huang et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Jachyra et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Levante et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Morales et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Sorensen \u0026amp; Zarrett, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Sowa \u0026amp; Meulenbroek, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Toscano et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Vetri \u0026amp; Roccella, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Zborowska, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Existing reviews and meta-analyses confirm that PA and OA help mitigate core ASD symptoms, such as social deficits and repetitive behaviors, while also promoting motor skill development (Huang et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Toscano et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Building on this foundation, our research demonstrates that OA provides unique psychosocial benefits beyond general PA, particularly through structured peer interactions. In addition, our findings can be viewed the lens of social modeling theory (Bandura, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e1999\u003c/span\u003e) and contribute the broader literature on the role of social modeling. Social modeling theory posits that individuals acquire social skills and behaviors through observation, imitation, and guided participation in social interactions. Previous research has established that team-based sports are particularly effective in enhancing social engagement, fostering teamwork, and strengthening peer interactions among participants (CITE). Beyond facilitating social interactions, team-based sports also cultivate a sense of belonging and community, which plays a crucial role in shaping social attitudes and improving communication abilities (CITE). Consistent with prior literature, our study further confirms and extends these findings, demonstrating that the structured framework of OA provides a socially enriched environment that facilitates the development of communication and interaction skills in adolescents with ASD. By situating these results within social modeling theory, our research underscores the potential of OA as an effective intervention strategy for improving social functioning and psychosocial well-being in this population.\u003c/p\u003e\u003cp\u003eThis research provides important insights that affect educators, clinicians, and policymakers. First, there is a clear need to promote and expand OA programs that serve specifically adolescents with ASD. Educational institutions and community groups need to implement specialized OA programs that address the distinct social and motor difficulties experienced by this population. Second, educational authorities and funding bodies might prioritize programs that connect general PA with OA in their policy initiatives. The research indicates that interventions must expand beyond increasing total PA and prioritize improving the OA's structure and quality. Policy changes could provide financial assistance for participation fees and transportation options to sports facilities while creating sensory-friendly environments that meet the diverse needs of adolescents with ASD. There is another significance from analyzing this 2022 NSCH data, which is in the recovery phase from the pandemic. Maintaining community cohesion and rebuilding social skills during this recovery phase are especially critical (Soares, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). The current pandemic recovery work emphasizes rebuilding community bonds and social routines (Xie et al., \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). According to Pagoto and Conroy (Pagoto \u0026amp; Conroy, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), prolonged social distancing during the pandemic intensified feelings of isolation and anxiety among adolescents and mainly affected individuals with ASD (Kalvin et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Lugo-Mar\u0026iacute;n et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). In this context, OA can be a physical rehabilitation tool critical for restoring social networks while helping restore psychosocial balance in individuals with ASD (Bohnert et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Levante et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). OA programs can assist adolescents with ASD by meeting their urgent psychosocial needs while providing extended advantages in improved life quality in this transitioning period from pandemic to everyday life.\u003c/p\u003e\u003cp\u003eThe study's positive results must be examined alongside its various limitations. First, we use a cross-sectional design that limits the ability to establish causal links between OA participation and improved psychosocial outcomes. Second, dependence on parental reports to gather key measures can create bias because parents may view their child's health and behavior differently than how the child experiences them or compared to objective evaluations (Gandhi et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Waters et al., \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Third, the limited number of adolescents who followed the ACSM PA guidelines (n\u0026thinsp;=\u0026thinsp;51) reduces the ability to apply the findings widely to the PA subgroup. It can decrease the statistical power needed to identify minor effects. Fourth, although the NSCH dataset reflects national demographics (Initiative, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2023\u003c/span\u003e), it may not fully represent the detailed aspects of OA participation and quality metrics, including program intensity, duration, and activity types like team versus individual sports. Lastly, unmeasured confounding variables, including socioeconomic status, family support, and ASD symptom severity, might have influenced OA's observed outcomes and participation rates.\u003c/p\u003e\u003cp\u003eFuture studies should use longitudinal and experimental methods to determine the causal factors behind OA benefits, while qualitative research into adolescents with ASD's personal sports experiences will offer a deeper understanding of social dynamics and individual development within these programs. A deeper exploration into how different OA affect participants and how outside factors can influence these effects would enable better-designed interventions to serve this diverse group effectively. Furthermore, to elucidate the underlying mechanisms of OA\u0026rsquo;s benefits, it is essential to conduct a mediation analysis exploring whether the psychosocial variables measured in this study\u0026mdash;such as flourishing, difficulties in making and keeping friends, and mental/emotional/behavioral problems\u0026mdash;mediate the relationship between OA participation and overall health status. Such an analysis could provide valuable insights into how OA contributes to improved overall health. It would inform the design of targeted interventions to maximize both psychosocial and physical outcomes for adolescents with ASD. Finally, exploring potential moderating factors such as socioeconomic status, family support, and the severity of ASD symptoms could further elucidate which subgroups benefit most from OA and inform more personalized intervention strategies.\u003c/p\u003e\u003cp\u003eIn conclusion, this study suggests that OA may be a valuable component associated with better psychosocial outcomes among adolescents with ASD. However, longitudinal or experimental research is needed to confirm causal effects. OA combines structured PA and social interaction to create a comprehensive method for meeting the multifaceted needs of this population. Research supports the need to broaden specialized OA programs to serve as essential elements in interventions that promote mental health and social inclusion while improving general well-being for adolescents with ASD. These insights provide potential benefits to shape upcoming research efforts and develop policy strategies while enhancing the living standards of our most vulnerable groups.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e5.1. Ethical Approval\u003c/p\u003e\n\u003cp\u003eThis study involved secondary analysis of publicly available, de-identified data from the 2022 National Survey of Children\u0026rsquo;s Health and did not require ethics approval. Consent to participate and consent to publish are not applicable.\u003c/p\u003e\n\u003cp\u003e5.2. Funding\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e5.3. Availability of data and materials\u003c/p\u003e\n\u003cp\u003eThe dataset analyzed during the current study is publicly available from the Data Resource Center for Child and Adolescent Health (https://www.childhealthdata.org/).\u003c/p\u003e\n\u003cp\u003e5.4. Authors\u0026rsquo; Contributions\u003c/p\u003e\n\u003cp\u003eYL led data analysis and interpretation and drafted the manuscript. DB assisted with data cleaning, and manuscript editing. SK supervised data analysis and contributed to the interpretation of results. JH provided conceptual guidance, critical manuscript revisions, and oversight of the research process. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e5.5. Conflict of Interest Statement\u003c/p\u003e\n\u003cp\u003eThe authors have no relevant financial or non-financial interests to disclose.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAmeis, S. H., Haltigan, J. D., Lyon, R. E., Sawyer, A., Mirenda, P., Kerns, C. M., Smith, I. M., Vaillancourt, T., Volden, J., \u0026amp; Waddell, C. (2022). 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The effects of structured physical activity program on social interaction and communication for children with autism. \u003cem\u003eBiomed Research International\u003c/em\u003e,\u003cem\u003e\u0026nbsp;2018\u003c/em\u003e(1), 1825046. \u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cimg 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Adolescents with autism spectrum disorder who participated in organized sports activities reported significantly higher flourishing (1.6 vs. 1.3, p\u0026thinsp;=\u0026thinsp;.043) and better overall health (1.3 vs. 1.4, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) than non-organized sports activities peers. In the non-physical activity subgroup, organized sports activities were associated with improved flourishing (p\u0026thinsp;\u0026lt;\u0026thinsp;.001) and reduced friendship difficulties (p\u0026thinsp;\u0026lt;\u0026thinsp;.001). Two-way ANOVA revealed significant main effects for both physical activity (F\u0026thinsp;=\u0026thinsp;247.56, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) and organized sports activities (F\u0026thinsp;=\u0026thinsp;23.21, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) on flourishing, with a significant interaction for overall health (F\u0026thinsp;=\u0026thinsp;4.41, p\u0026thinsp;=\u0026thinsp;.012). These results suggest that participation in organized sports activities is associated with distinct psychosocial advantages beyond physical activity alone, indicating its potential relevance in promoting well-being among adolescents with autism spectrum disorder.\u003c/p\u003e","manuscriptTitle":"Organized Sports and Psychosocial Benefits for Adolescents with Autism: Findings from the 2022 National Survey","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-01 09:37:32","doi":"10.21203/rs.3.rs-7349284/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"7533524e-a6c8-499f-9a5a-2d55ed7cfc55","owner":[],"postedDate":"September 1st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-10-07T07:54:11+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-01 09:37:32","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7349284","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7349284","identity":"rs-7349284","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}