This paper is in the following e-collection/theme issue:

School-based Health Education and Interventions (88) Registered Report (579) Parenting (270)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42265, first published .
The Effectiveness of an After-school Sport Sampling Intervention on Urban Middle School Youth in the Midwest: Posttest-Only Study

The Effectiveness of an After-school Sport Sampling Intervention on Urban Middle School Youth in the Midwest: Posttest-Only Study

The Effectiveness of an After-school Sport Sampling Intervention on Urban Middle School Youth in the Midwest: Posttest-Only Study

Authors of this article:

Joseph Lightner1 Author Orcid Image ;   Katlyn Eighmy1, 2 Author Orcid Image ;   Ella Valleroy1, 2 Author Orcid Image ;   Bridget Wray1 Author Orcid Image ;   Amanda Grimes1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

    Original Paper

    1School of Nursing and Health Studies, University of Missouri-Kansas City, Kansas City, MO, United States

    2Department of Population Health, University of Kansas Medical Center, Kansas City, KS, United States

    *these authors contributed equally

    Corresponding Author:

    Joseph Lightner, MPH, PhD

    School of Nursing and Health Studies

    University of Missouri-Kansas City

    2464 Charlotte St

    Kansas City, MO, 64108-2718

    United States

    Phone: 1 8162351703

    Email: lightnerj@umkc.edu


    Background: Effective and scalable interventions are needed to combat chronic low levels of youth physical activity. After-school sport sampling programs may be vital interventions for teaching sports and increasing physical literacy and physical activity, which result in healthy lifelong habits that are maintained into adulthood.

    Objective: The purpose of this study was to test the effectiveness of an after-school sport sampling intervention among underserved youth in the Midwest.

    Methods: Youth (n=81) in 3 middle schools within a large Midwest city participated in an 8-month, after-school physical activity intervention that aimed to increase moderate- and vigorous-intensity physical activity, improve physical literacy, and decrease BMI. Difference scores for this 2-group, posttest-only design were calculated. A series of 2-tailed t tests were conducted to assess between-group differences.

    Results: The intervention group had significantly better physical literacy (t115=7.57; P=.004) and engaged in more moderate- and vigorous-intensity physical activity minutes per week (t115=4.28; P=.04) and steps per day (t115=4.29; P=.03).

    Conclusions: An after-school sport sampling program may be an effective solution for combating youth physical inactivity. Future research should assess the scalability of this intervention with larger populations and in different areas.

    International Registered Report Identifier (IRRID): RR2-10.2196/37126

    JMIR Pediatr Parent 2023;6:e42265

    doi:10.2196/42265

    Keywords

    physical activity; adolescent; sport sampling; physical literacy; BMI; health intervention; parenting; healthy lifestyle; youth; health inequality; underserved population 


    Nationally, 71.3% of middle schoolers do not meet physical activity recommendations [1]. Low levels of physical activity have contributed to increased rates of poor health, chronic disease, and obesity [2]. Obesity rates among youth have risen by nearly 7% in the last 20 years [3]. In 2018, over 1 in 5 youth (21.2%) were obese. Racial and ethnic minority youth are disproportionately affected by weight status. In 2017, it was reported that 37.7% of Black youth and 38.8% of Hispanic youth were overweight or obese, whereas 27.7% of White youth were overweight or obese [1]. Similarly, concerning trends are seen in physical activity rates. Physical activity rates have decreased by 5.5% among adolescents in the last 8 years alone, with only 21.1% of Black youth, 20.9% of Hispanic youth, and 25.6% of White youth engaging in at least 1 hour of moderate to vigorous physical activity (MVPA) per day in 2019 [4].

    Evidence suggests that sports participation is associated with increased physical activity [5,6]. Therefore, playing sports outside of school hours is a promising strategy for physical activity interventions. However, sports participation differs by race, ethnicity, gender, and socioeconomic status [7,8]. Racial and ethnic minority students, as well as those who are socioeconomically disadvantaged, have lower rates of participation in sports [7]. Adolescent girls also participate less in sports teams than adolescent boys [8]. To increase participation, middle schoolers recommend that programming should incorporate a variety of sports in noncompetitive environments [9].

    A barrier to sports participation is lacking the skills to be able to have fun and enjoy playing sports [10]. The “motivation, confidence, physical competence, knowledge, and understanding to value and take responsibility for engagement in physical activities for life” are determinants of physical literacy [11]. Physical literacy is increasingly recognized as a core construct in physical activity interventions and sports programming [12-14]. Overall, children have low levels of physical literacy, with 85% demonstrating inadequate levels [15]. Little is known about the relationship between physical literacy and long-term health outcomes, but emerging evidence suggests that physical literacy is related to physical activity levels and other health outcomes [16]. Although there has been a robust scientific conversation around the concept of physical literacy, more research is needed to explore relationships among physical literacy, physical activity, and health outcomes [17].

    Sport sampling interventions may be a potential mechanism for increasing physical activity and physical literacy among youth. However, to date, a school-based, culturally tailored, participant-informed sport sampling intervention has not been evaluated for effectiveness. Therefore, the purpose of this study was to examine the effectiveness of an after-school, culturally tailored, participant-informed sport sampling program on physical activity, physical literacy, and BMI among underserved racial and ethnic minority youth in the Midwest.


    Study Design, Settings, and Participants

    The Move More, Get More study was conducted as a 2-group, posttest-only study. A total of 3 middle schools with grades 6 to 8 in the Kansas City Public School District (KCPS) participated in this study. All participating schools were public, but one was classified as a KCPS signature school that focuses on college preparation. All students at the three schools were eligible to participate in the intervention. Schools were recruited through the school district and identified as schools in the most need of programming to increase physical activity. The KCPS is the 12th largest school district in Missouri and primarily serves ethnic minority, low-income, and inner-city youth [18]. Over 36 languages are spoken in the schools, with 22% of students receiving English language learner services. All students qualify for free lunches or lunches at reduced costs [18]. Due to the nature of this study, we were unable to collect baseline physical activity data because students began the intervention on the day that they were provided with accelerometers. Therefore, we used end point assessments to compare the intervention group to the control group.

    Ethics Approval

    All procedures of this study were approved by the University of Missouri-Kansas City Institutional Review Board (protocol number: 2017528).

    Intervention

    The intervention aimed to increase the overall physical activity levels of middle school youth. Each school had a minimum of 2 trained sport instructors for leading after-school sport sampling sessions. Youth were not separated by gender, and youth only attended activities at their school. Table 1 shows the activities provided. The activities included equipment-based sports (basketball, soccer, football, etc), dance, yoga, and team-based games. The activities were selected and adapted based on student interest, culture, available facilities, instructor expertise, and available equipment. Sessions were held in a variety of settings at the school, including outdoor fields, indoor gymnasiums, hallways, and classrooms. Session locations varied depending on weather conditions and availability, which was based on other after-school programming.

    The dose of the intervention was adapted for each school based on the schools’ release times and bus schedules. The first school hosted two 1-hour sessions each week. The second school hosted three 1-hour sessions each week. The third school hosted three 2-hour sessions each week. After-school sessions were held from September 2021 through May 2022 and aligned with the KCPS academic calendar. No COVID-19 restrictions (eg, social distancing), other than masking, were imposed by schools or public health agencies. Masking requirements ended in March 2022.

    Table 1. Activities by school.
    Study weekSchool 1 activitiesSchool 2 activitiesSchool 3 activities
    1BasketballBasketballBasketball
    2BasketballBasketball and flag footballBasketball
    3Flag footballBasketball and flag footballFlag football
    4Flag footballBasketballFlag football
    5SoccerDodgeball and basketballSoftball and baseball
    6SoccerBasketballBasketball
    7Capture the flagKickballYoga and aerobics
    8Games (red light, green light; shark and minnows; and tag)BasketballYoga and aerobics
    9Games (red light, green light; shark and minnows; and tag)BasketballFrisbee, jump rope, and dance
    10Dodgeball and soccerFlag football and kickballFrisbee, jump rope, and dance
    11Games (red light, green light; shark and minnows; and tag)Lacrosse and kickballSoccer, frisbee, and dance
    12Mini-competition of basketball, soccer, football, and frisbeeLacrosse and kickballSoccer, frisbee, and dance
    13Mini-competition of basketball, soccer, football, and frisbeeYoga, jump rope, and dodgeballFree play
    14Canceled by schoolCanceled by schoolCanceled by school
    15Jump ropeIndoor games and trashballCanceled by school
    16Jump rope and jump rope gamesIndoor games and trashballAerobics, dance, and yoga
    17BasketballSoccerAerobics, dance, and yoga
    18BasketballSoccerJump rope and jump rope games
    19Flag football and basketballBasketballKickball and basketball
    20Flag footballBasketballRelay races
    21BasketballFlag footballBasketball
    22Basketball and kickballFlag footballBasketball
    23Circuit training and basketballBadmintonSoccer and handball
    24SoccerVolleyballSoccer and handball
    25SoccerVolleyballOlympics week
    26KickballKickballOlympics week
    27KickballKickballFootball
    28Ultimate frisbeeUltimate frisbeeFootball
    29Ultimate frisbee or dodgeballUltimate frisbeeDodgeball and volleyball
    30Free play or review of sportsFree play or review of sportsDodgeball and volleyball
    31Free play or review of sportsFree play or review of sportsFree play or review of sports

    Recruitment and Enrollment

    Participants were recruited in August and September 2021 during multiple school events, such as the district enrollment fair, school lunches, and parent-teacher conferences. Parents provided written consent for students to participate in this study. Students also provided written and verbal assent before participating in this study. Participants completed a web-based questionnaire and an objective physical literacy assessment at baseline.

    Incentives

    Participants received a US $25 gift card upon completion of their enrollment and follow-up data collection. A Garmin Vivofit 4 (Garmin Ltd) was provided as an incentive at baseline. Participants were also entered into a raffle giveaway for a US $150 gift card.

    Measures

    Physical Activity

    Physical activity was assessed with Garmin Vivofit 4 accelerometers throughout the study period. Daily steps and active minutes data were aggregated at the week level. To account for nonwear days, a daily mean was calculated based on a given week. Detailed accelerometer procedures can be found in the previously published protocol [19]. Similar accelerometer procedures were used in previous studies [20].

    Physical Literacy

    Physical literacy was assessed objectively by trained research assistants using the PLAYbasic instrument [21]. PLAYbasic assesses the physical abilities of participants in the following four domains: locomotor, throwing, kicking, and balance. Research staff set up a course in a school gymnasium where participants were asked to perform the following five tasks: (1) run to a cone approximately 5 m away, turn around, and run back to the starting point; (2) hop to the same cone on 1 leg and hop back to the starting point; (3) throw a tennis ball overhand to a wall 1.5 m away and have it bounce back over their head; (4) kick a ball to a wall 4 m away over a line 1 m from the ground; and (5) walk toe-to-heel in a straight line for 2 m. The tasks were assessed on a scale ranging from 1 to 100, with 0 to 25 representing initial ranking, 25 to 50 representing emerging, 50 to 75 representing competent, and 75 to 100 representing proficient. Final scores were calculated by adding section totals to obtain a total score and then dividing by 5, according to the scale’s instructions [21].

    BMI Assessment

    Height and weight were assessed objectively by trained research staff using a validated scale [22] and stadiometer [23]. BMIs were calculated with the following formula:

    BMI = weight (kg)/height (m)2
    Demographics

    Age, race, ethnicity, and sex were assessed by using questions from the Youth Risk Behavior Surveillance System [1].

    Statistical Analysis

    Univariate statistics were conducted for all study variables. Chi-square difference tests were conducted on demographic variables between groups. Mean difference scores for each outcome variable were calculated. A series of 2-tailed t tests were conducted to assess between-group differences. All analyses were conducted in SPSS (IBM Corp) [24]. An α level of 95% was used for all analyses. All self-report data were collected in Qualtrics (Qualtrics International Inc) [25]. Accelerometry data were collected from the Garmin application programming interface.


    Of the 179 intervention youths that initially consented to participating in this study, 42 were excluded, and 56 were lost to follow-up, resulting in 81 intervention youths being included in the analyses. Of the 50 control youths that initially consented to participating in this study, 15 were lost to follow-up, resulting in 35 control youths being included in the analyses (Figure 1).

    Table 2 presents demographic information on the intervention and control participants. In the intervention group, participants were aged 13.4 (SD 1.0) years and distributed among the sixth (31/81, 38%), seventh (26/81, 32%), and eighth (24/81, 30%) grades. Further, 64.2% (52/81) reported being male, 76.5% (62/81) reported being African American or Black, 15% (12/81) reported being Hispanic or Latinx, and 19% (15/81) reported being White. In the control group, participants were aged 13.8 (SD 0.97) years, and more participants were in the eighth grade, with 11% (4/35), 31% (11/35), and 57% (20/35) in grades 6, 7, and 8, respectively. Moreover, 49% (17/35) reported being male, 51% (18/35) reported being African American or Black, 9% (3/35) reported being Hispanic or Latinx, and 11% (4/35) reported being White.

    Chi-square difference tests were conducted for all categorial variables to understand if there was a difference in demographic variables between the intervention and control groups. There were no significant differences among demographic variables between groups.

    Table 3 presents differences in BMIs, physical literacy, and accelerometry-measured physical activity between the intervention and control groups. The mean BMI was 23.37 (SD 5.91) kg/m2 for intervention participants and 25.19 (SD 7.10) kg/m2 for control participants. The small difference in BMIs between groups was not statistically significant (t115=1.41; P=.90).

    Physical literacy was statistically different between the intervention and control groups (t115=7.57; P=.004). Participants in the intervention group had an average physical literacy score of 75.62 (SD 14.13), indicating a proficient ranking, while the participants in the control group had an average physical literacy score of 50.71 (SD 19.73), indicating a competent ranking. The mean difference in physical literacy between groups was 24.91 on the 100-point scale.

    Minutes per week of MVPA (t115=4.28; P=.04) and steps per day (t115=4.29; P=.03) were statistically different between groups. On average, participants in the intervention group engaged in 107.01 (SD 34.94) minutes of MVPA per week and 10,847.11 (SD 3758.33) steps per day. Participants in the control group engaged in 53.01 (SD 11.17) minutes of MVPA per week and 5030.09 (SD 1128.24) steps per day. The mean differences between groups were 53.99 minutes of MVPA per week and 5817.01 steps per day.

    ‎
    Figure 1. Flowchart of participants in this study.
    Table 2. End point univariate statistics.
    CharacteristicIntervention group (n=81)Control group (n=35)Chi-square (df)P value
    Age (years), mean (SD)13.4 (1.0)13.8 (0.97)7.61 (115).11
    Grade in school, n (%)3.06 (115).22

    		Sixth grade31 (38)4 (11)


    		Seventh grade26 (32)11 (31)


    		Eighth grade24 (30)20 (57)

    Sex, n (%)1.95 (115).38

    		Male52 (64)17 (49)


    		Female28 (35)18 (51)


    		Prefer not to say1 (1.2)0 (0)

    Racea, n (%)15.63 (115).11

    		African American or Black62 (77)18 (51)


    		Hispanic or Latinx12 (15)3 (9)


    		White, Non-Hispanic15 (19)4 (11)


    		Asian5 (6)1 (3)


    		Native Hawaiian or Other Pacific Islander3 (4)0 (0)


    		American Indian or Alaska Native3 (4)4 (11)

    aParticipants were able to choose multiple racial categories.

    Table 3. Differences between the intervention and control groups.
    OutcomeIntervention group, mean (SD)Control group, mean (SD)Mean difference (95% CI)t test (df)P value
    BMI (kg/m2)23.37 (5.91)25.19 (7.10)1.82 (−4.60 to 0.96)1.41 (115).90
    Physical literacy score75.62 (14.13)50.71 (19.73)24.91 (18.39 to 31.43)7.57 (115).004
    Moderate to vigorous physical activity (minutes per week)107.01 (34.94)53.01 (11.17)53.99 (28.45 to 79.54)4.28 (115).04
    Steps per day10,847.11 (3758.33)5030.09 (1128.24)5817.01 (3073.15 to 8560.88)4.29 (115).03

    The purpose of this study was to examine the potential effectiveness of an after-school sport sampling program on physical activity, physical literacy, and BMI among underserved racial and ethnic minority youth in the Midwest. Overall, intervention participants had significantly higher physical literacy scores (P=.004) and engaged in more MVPA (P=.04) and steps (P=.03) than youth in the control group after the intervention. This study aids in the understanding of physical activity for youth in a large, urban Midwest city and provides some evidence that a participant-informed, culturally tailored sport sampling intervention may be a mechanism for increasing physical activity and physical literacy among youth.

    This study observed significant differences in MVPA between the intervention and control groups. This difference is consistent with past research that found that after-school programming is an effective strategy for increasing physical activity [26,27]. This study also adds important evidence on the use of sport sampling interventions to potentially reduce health inequality for Black and Hispanic youth.

    Move More, Get More allowed youth to provide input on which sports they wanted to learn and practice. By incorporating youths’ preferences for which sports they want to engage in, we are potentially better able to maintain their interest in sports and physical activity. Future research should empirically examine if this participant-led approach results in maintained engagement in sports and physical activity for the long-term.

    Physical literacy was significantly better in the intervention group compared to that in the control group (P=.004), indicating that a sport sampling intervention may be a good strategy for increasing physical literacy. Rajabiyan and Talebi [28] similarly found that an intervention of selected sports was effective in improving physical literacy. More broadly, a recent systematic review found that physical literacy–related interventions can be successful [29]. Evidence supports that physical literacy is associated with physical activity [17] and is believed to contribute to lifelong physical activity [16]. Future research should examine the long-term impacts of physical activity interventions on physical literacy and related health outcomes.

    Unexpectedly, there was no significant difference in BMIs between youth in the intervention group and youth in the control group at posttest (P=.90). The Centers for Disease Control and Prevention recommend increasing BMI cutoff points for youth until the age of 20 years [30]. Although increases in BMI are usually indicative of poorer health behaviors, as middle school students grow and mature, increases in BMI may be an expected part of normal development. Future studies may consider alternative measures to assess body composition for this age group.

    There are several strengths to this study. First, this study was conducted in an urban environment where 100% of the school districts’ students qualify for free lunches or lunches at reduced costs and schools serve predominantly racial and ethnic minority individuals. Second, this study adds to the limited research on the effectiveness of sport sampling interventions on physical literacy and physical activity. Additionally, this study assessed physical activity via accelerometry and objectively measured physical literacy and BMIs by using reliable and validated tools.

    This study however relies on a posttest-only design that may contribute to type 2 error. A posttest-only design is one way to assess differences among groups while also delivering a needed intervention for underserved populations. Although not ideal, several physical activity studies have used a posttest-only design to increase the external reliability of real-world interventions [31-33].

    Over 10 million youths participate annually in after-school programming [26]. These programs have the potential to provide a unique opportunity to help millions of youths become more active and improve MVPA. Although limited, our study and other evidence suggest that after-school sport sampling interventions are effective strategies for increasing physical literacy and physical activity among underserved racial and ethnic minority youth. Future research needs to be conducted on the best way to scale such interventions to board populations of youth to improve physical activity, physical literacy, and health equity.

    Acknowledgments

    We would like to thank our many community partners that assisted with this study, including University Health’s Mobile Market; Mattie Rhodes Centers; Kansas City Parks and Recreation; Kansas City Public Schools; Children’s Mercy Hospital (Shelly Summar, Dr Jordan Carlson, Dr Robin Shook, and Dr Emily Hurley); and the team of undergraduate researchers at the University of Missouri, Kansas City (Niveen Al-Saoudi, Victor Arellano, Macy Hornosky, Tra Statler, Maya Baughn, Denise Dean, and Cynthea Thompson).

    Authors' Contributions

    JL and AG are joint senior authors. KE and EV are joint junior authors who assisted in the data collection, analysis, and writing of this manuscript. BW led the data collection and project implementation.

    Conflicts of Interest

    None declared.

    1. Eaton DK, Kann L, Kinchen S, Shanklin S, Flint KH, Hawkins J, Centers for Disease Control and Prevention (CDC). Youth risk behavior surveillance - United States, 2011. MMWR Surveill Summ 2012 Jun 08;61(4):1-162 [FREE Full text] [Medline]
    2. Centers for Disease Control and Prevention. Overweight and obesity. Centers for Disease Control and Prevention.   URL: https:/​/www.​cdc.gov/​obesity/​basics/​causes.​html?CDC_AA_refVal=https%3A%2F%2Fwww.​cdc.​gov%2Fobesity%2Fchildhood%2Fcauses.​html [accessed 2022-08-19]
    3. Fryar CD, Carroll MD, Ogden CL. Prevalence of overweight, obesity, and severe obesity among children and adolescents aged 2–19 years: United States, 1963–1965 through 2015–2016. Centers for Disease Control and Prevention. 2018 Sep.   URL: https://stacks.cdc.gov/view/cdc/58669 [accessed 2022-08-22]
    4. Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity. DNPAO data, trends and maps: Explore by topic. Centers for Disease Control and Prevention.   URL: https:/​/nccd.​cdc.gov/​dnpao_dtm/​rdPage.​aspx?rdReport=DNPAO_DTM.​ExploreByTopic&islClass=PA&islTopic=PA1&go=GO [accessed 2022-08-23]
    5. Shull ER, Dowda M, Saunders RP, McIver K, Pate RR. Sport participation, physical activity and sedentary behavior in the transition from middle school to high school. J Sci Med Sport 2020 Apr;23(4):385-389 [FREE Full text] [CrossRef] [Medline]
    6. Wickel EE, Eisenmann JC. Contribution of youth sport to total daily physical activity among 6- to 12-yr-old boys. Med Sci Sports Exerc 2007 Sep;39(9):1493-1500. [CrossRef] [Medline]
    7. Johnston LD, Delva J, O'Malley PM. Sports participation and physical education in American secondary schools: current levels and racial/ethnic and socioeconomic disparities. Am J Prev Med 2007 Oct;33(4 Suppl):S195-S208. [CrossRef] [Medline]
    8. Kanters MA, Bocarro JN, Edwards MB, Casper JM, Floyd MF. School sport participation under two school sport policies: comparisons by race/ethnicity, gender, and socioeconomic status. Ann Behav Med 2013 Feb;45 Suppl 1:S113-S121. [CrossRef] [Medline]
    9. Grimes A, Lightner JS, Pina K, de Miranda ESD, Meissen-Sebelius E, Shook RP, et al. Designing an adaptive adolescent physical activity and nutrition intervention for COVID-19-related health challenges: Formative research study. JMIR Form Res 2022 Jan 21;6(1):e33322 [FREE Full text] [CrossRef] [Medline]
    10. Vasquez T, Fernandez A, Haya-Fisher J, Kim S, Beck AL. A qualitative exploration of barriers and facilitators to physical activity among low-income Latino adolescents. Hisp Health Care Int 2021 Jun;19(2):86-94 [FREE Full text] [CrossRef] [Medline]
    11. International Physical Literacy Association. Defining physical literacy. International Physical Literacy Association.   URL: https://www.physical-literacy.org.uk/blog/defining-physical-literacy/ [accessed 2022-08-22]
    12. Edwards LC, Bryant AS, Keegan RJ, Morgan K, Jones AM. Definitions, foundations and associations of physical literacy: A systematic review. Sports Med 2017 Jan;47(1):113-126 [FREE Full text] [CrossRef] [Medline]
    13. Edwards LC, Bryant AS, Keegan RJ, Morgan K, Cooper SM, Jones AM. 'Measuring' physical literacy and related constructs: A systematic review of empirical findings. Sports Med 2018 Mar;48(3):659-682 [FREE Full text] [CrossRef] [Medline]
    14. Tremblay MS, Costas-Bradstreet C, Barnes JD, Bartlett B, Dampier D, Lalonde C, et al. Canada's Physical Literacy Consensus Statement: process and outcome. BMC Public Health 2018 Oct 02;18(Suppl 2):1034 [FREE Full text] [CrossRef] [Medline]
    15. Longmuir PE, Gunnell KE, Barnes JD, Belanger K, Leduc G, Woodruff SJ, et al. Canadian Assessment of Physical Literacy Second Edition: a streamlined assessment of the capacity for physical activity among children 8 to 12 years of age. BMC Public Health 2018 Oct 02;18(Suppl 2):1047 [FREE Full text] [CrossRef] [Medline]
    16. Cairney J, Dudley D, Kwan M, Bulten R, Kriellaars D. Physical literacy, physical activity and health: Toward an evidence-informed conceptual model. Sports Med 2019 Mar;49(3):371-383. [CrossRef] [Medline]
    17. Belanger K, Barnes JD, Longmuir PE, Anderson KD, Bruner B, Copeland JL, et al. The relationship between physical literacy scores and adherence to Canadian physical activity and sedentary behaviour guidelines. BMC Public Health 2018 Oct 02;18(Suppl 2):1042 [FREE Full text] [CrossRef] [Medline]
    18. By the numbers. Kansas City Public Schools.   URL: https://www.kcpublicschools.org/about/kcps-numbers [accessed 2022-08-22]
    19. Grimes A, Lightner JS, Eighmy K, Wray BD, Valleroy E, Baughn M. Physical activity and nutrition intervention for middle schoolers (Move More, Get More): Protocol for a quasi-experimental study. JMIR Res Protoc 2022 May 04;11(5):e37126 [FREE Full text] [CrossRef] [Medline]
    20. Grimes A, Lightner JS, Eighmy K, Steel C, Shook RP, Carlson J. Decreased physical activity among youth resulting from COVID-19 pandemic-related school closures: Natural experimental study. JMIR Form Res 2022 Apr 15;6(4):e35854 [FREE Full text] [CrossRef] [Medline]
    21. Physical Literacy. PLAY tools. Physical Literacy.   URL: https://physicalliteracy.ca/play-tools/ [accessed 2022-08-22]
    22. seca. seca 813 - Electronic flat scales with very high capacity. seca.   URL: https://www.seca.com/en_ee/products/all-products/product-details/seca813.html [accessed 2022-08-22]
    23. seca. seca 213 - Portable stadiometer. seca.   URL: https://www.seca.com/en_us/products/all-products/product-details/seca213.html [accessed 2022-08-22]
    24. IBM Corp. IBM SPSS Statistics. IBM Corp.   URL: https://www.ibm.com/products/spss-statistics [accessed 2023-01-17]
    25. Qualtrics International Inc. Qualtrics XM: The leading experience management software. Qualtrics International Inc.   URL: https://www.qualtrics.com/ [accessed 2023-01-17]
    26. Beets MW, Beighle A, Erwin HE, Huberty JL. After-school program impact on physical activity and fitness: a meta-analysis. Am J Prev Med 2009 Jun;36(6):527-537. [CrossRef] [Medline]
    27. Pate RR, O'Neill JR. After-school interventions to increase physical activity among youth. Br J Sports Med 2009 Jan;43(1):14-18. [CrossRef] [Medline]
    28. Rajabiyan Z, Talebi N. Effect of a selected exercise program on physical literacy and body composition of elementary school girls with overweight and obesity. Pajouhan Scientific Journal 2021;19(3):12-18 [FREE Full text] [CrossRef]
    29. Liu Y, Chen S. Physical literacy in children and adolescents: Definitions, assessments, and interventions. Eur Phy Educ Rev 2020 Jun 11;27(1):96-112 [FREE Full text] [CrossRef]
    30. Centers for Disease Control and Prevention. About child and teen BMI. Centers for Disease Control and Prevention.   URL: https://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html [accessed 2022-08-22]
    31. Cohen DA, Marsh T, Williamson S, Han B, Derose KP, Golinelli D, et al. The potential for pocket parks to increase physical activity. Am J Health Promot 2014;28(3 Suppl):S19-S26 [FREE Full text] [CrossRef] [Medline]
    32. Yancey AK, McCarthy WJ, Taylor WC, Merlo A, Gewa C, Weber MD, et al. The Los Angeles Lift Off: a sociocultural environmental change intervention to integrate physical activity into the workplace. Prev Med 2004 Jun;38(6):848-856. [CrossRef] [Medline]
    33. Farbo D, Maler LC, Rhea DJ. The preliminary effects of a multi-recess school intervention: Using accelerometers to measure physical activity patterns in elementary children. Int J Environ Res Public Health 2020 Nov 30;17(23):8919 [FREE Full text] [CrossRef] [Medline]

    ‎
    KCPS: Kansas City Public School District
    MVPA: moderate to vigorous physical activity

    Edited by S Badawy, G Eysenbach; submitted 30.08.22; peer-reviewed by A Chwałczyńska, M Kapsetaki; comments to author 10.09.22; revised version received 18.10.22; accepted 10.01.23; published 25.01.23

    Copyright

    ©Joseph Lightner, Katlyn Eighmy, Ella Valleroy, Bridget Wray, Amanda Grimes. Originally published in JMIR Pediatrics and Parenting (https://pediatrics.jmir.org), 25.01.2023.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Pediatrics and Parenting, is properly cited. The complete bibliographic information, a link to the original publication on https://pediatrics.jmir.org, as well as this copyright and license information must be included.