Using Health Education to Address Student Physical Activity and Nutrition: Evidence and Implications to Advance Practice.

BACKGROUND: School-based health education can provide students with learning experiences that improve knowledge, attitudes, and perceptions (KAP) and behaviors regarding physical activity and nutrition. METHODS: We conducted a 2-phase systematic review. Phase 1 was a review of reviews (ie, systematic reviews or meta-analyses) that were published 2010-2018. Phase 2 was a search for individual articles published 2010-2020 addressing topics relevant to our review; we searched for articles that had not been part of a sufficiently relevant or recent review or that had been part of a review that concluded that too few articles were available to assert sufficient evidence. RESULTS: Forty-three studies were assessed: 20 randomized controlled trials and 23 quasi-experimental designs. Collectively, interventions had a favorable impact on students' PA and nutrition KAP, but behavioral and secondary outcome results (eg, body mass index) were mixed. CONCLUSIONS: Using the evidence-based health education strategies identified in this review can help contribute to improvements in students' KAP and behaviors.

A Whole School, Whole Community, Whole Child Approach to Support Student Physical Activity and Nutrition: Introduction/Methods.

BACKGROUND: We introduce the Whole School, Whole Community, Whole Child approach to supporting student and school staff physical activity and nutrition and describe the methods used to generate the evidence synthesized across the special issue articles. METHODS: A 2-phase literature review search included a search of systematic reviews (2010-2018) for individual qualifying articles (Phase 1) and a search for individual articles on topics not addressed by a review (2010-2020) or that needed an update because they were in a review that was older (2010-2016) or showed insufficient evidence (Phase 2). Research librarians developed search strategies. In each phase, pairs of subject matter experts applied criteria to review abstracts and full-text articles and extracted data using standardized forms. We included 314 articles, describing 293 studies. FINDINGS: Most of the included studies looked at elementary or secondary school level interventions; 51% were rated poor quality, and few took place in a rural setting. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY: Most of the identified studies engaged majority minority or racially/ethnically diverse schools, suggesting that these interventions are feasible in a variety of settings. CONCLUSIONS: This collection of 10 articles identifies evidence-based interventions, gaps in research, and implications for health equity.

Dietary and Physical Activity Behaviors in 2021 and Changes from 2019 to 2021 Among High School Students - Youth Risk Behavior Survey, United States, 2021.

The fall of 2021 was the first school semester to begin with widespread in-person learning since the COVID-19 pandemic began. Understanding dietary and physical activity behaviors of adolescents during this time can provide insight into potential health equity gaps and programmatic needs in schools and communities. This report uses data from the 2021 national Youth Risk Behavior Survey conducted among a nationally representative sample of U.S. public and private school students in grades 9-12 to update estimates of dietary and physical activity behaviors among U.S. high school students overall and by sex and race and ethnicity. In addition, 2-year comparisons (2019 versus 2021) of these behaviors were examined. In 2021, daily consumption of fruits, vegetables, and breakfast during the past 7 days remained low and decreased overall with specific disparities by sex and race and ethnicity from 2019 to 2021. The overall prevalence of students attending physical education classes daily, exercising to strengthen muscles on ≥3 days/week (i.e., met the guideline for muscle-strengthening activity), and playing on at least one sports team decreased from 2019 to 2021; whereas being physically active for ≥60 minutes/day on all 7 days (i.e., met the guideline for aerobic activity) and meeting both aerobic and muscle-strengthening guidelines remained low but did not change. These findings underscore the need for strategies to increase healthy dietary and physical activity behaviors both in the recovery phase of COVID-19 and longer term.

Surveillance of Meeting the Youth Physical Activity Guideline: Impact of Including Vigorous-Intensity and Bone-Strengthening Activities.

Purpose: The US youth physical activity guideline recommends participation in four types of physical activity: moderate-to-vigorous intensity aerobic (MVPA), vigorous-intensity aerobic (VPA), muscle-strengthening, and bone-strengthening physical activity. Current national prevalence estimates of meeting the youth physical activity guideline are typically based on measures of the MVPA and muscle-strengthening components. This study sought to examine differences in prevalence estimates using this current approach and then including measures of all four components. Methods: Data from US high school student respondents to the 2010 National Youth Physical Activity and Nutrition Survey were analyzed (n = 10,596). Prevalence of students meeting the youth physical activity guideline were assessed and compared using 1) measures of MVPA and muscle-strengthening components only and 2) also including measures of the VPA and bone-strengthening components. Results: Overall, 15.2% students met the MVPA, 50.7% met the muscle-strengthening, 70.6% met the VPA, and 80.7% met the bone-strengthening components. In total, 12.1% (95% confidence interval: 10.9, 13.3) of students met both the MVPA and muscle-strengthening components, and 11.2% (95% confidence interval: 10.0, 12.4) met all four components. Conclusions: Incorporating additional measures of VPA and bone-strengthening activity into current surveillance systems may not meaningfully impact national estimates of meeting the youth physical activity guideline.

Individual and Collective Positive Health Behaviors and Academic Achievement Among U.S. High School Students, Youth Risk Behavior Survey 2017.

PURPOSE: We examined associations between academic grades and positive health behaviors, individually and collectively, among U.S. high school students. DESIGN: Cross-sectional study design. SETTING: Data were from the 2017 national Youth Risk Behavior Survey. Response rates were 75% for schools, 81% for students, and 60% overall (n = 14,765 students). SUBJECTS: Youth in grades 9th-12th. MEASURES: We focused on youth behaviors that can prevent or delay the onset of chronic health conditions. Seven dietary, 3 physical activity, 2 sedentary screen time, and 4 tobacco product use behaviors were assessed. Variables were dichotomized (0/1) to indicate that a score was given to the positive health behavior response (e.g.,, did not smoke cigarettes = 1). A composite score was created by summing each positive health behavior response among 16 total health behaviors. ANALYSIS: Multivariable logistic regression analyses for each individual health behavior, and a multivariable negative binomial regression for the composite score, were conducted with self-reported academic grades, controlling for sex, grade in school, race/ethnicity, and body mass index (BMI) categories. RESULTS: Controlling for covariates, students who reported mostly A's had 2.0 (P < .001) more positive health behaviors; students who reported mostly B's had 1.3 (P < .001) more positive health behaviors; and students who reported mostly C's had .78 (P < .001) more positive health behaviors, compared to students who reported mostly D's/F's. CONCLUSIONS: Higher academic grades are associated with more positive individual and cumulative health behaviors among high school students. Understanding these relationships can help inform efforts to create a healthy and supportive school environment and strive for health equity.

Characteristics Associated With School Health Services for the Management of Chronic Health Conditions.

It is unknown how health services staff (school nurse or school physician) or school characteristics are associated with the number of services provided for chronic health conditions in schools. Using data from the 2014 School Health Policies and Practices Study, four services (identification or school-based management, tracking, case management, and referrals) were analyzed using a multivariable ordered logistic regression. Approximately 57.2% of schools provided all four, 17.5% provided three, 10.1% provided two, 5.8% provided one, and 9.4% did not provide any such services. Schools with a school nurse were 51.5% (p < .001) more likely to provide all four, and schools with access to consult with a school physician were 15.4% (p < .05) more likely, compared to schools without one. Schools comprised of mostly racial/ethnic minority students (less than or equal to 50% non-Hispanic White) were 14.7% (p < .05) less likely to provide all four, compared to schools with greater than 50% White students.

Dietary and Physical Activity Behaviors Among High School Students - Youth Risk Behavior Survey, United States, 2019.

Establishing healthy dietary and physical activity patterns among youths is an important public health strategy for improving health and preventing chronic diseases; however, few adolescents meet U.S. government recommendations for dietary or physical activity behaviors, and disparities by sex and race/ethnicity exist. CDC analyzed data from the 2019 Youth Risk Behavior Survey to update estimates of dietary and physical activity behaviors among U.S. high school students overall and by sex and race/ethnicity. In addition, 2-year comparisons (2017 and 2019) and trends in prevalence of these behaviors during 2009-2019 were examined. In 2019, overall, during the 7 days before the survey, 41.8% of students had eaten fruit or drunk 100% fruit juices <1 time/day; 40.7% had eaten vegetables <1 time/day; and 16.7% had not eaten breakfast on all 7 days. Moreover, although 57.4% of students had played on ≥1 sports team during the 12 months before the survey, less than half of students had been physically active for ≥60 minutes/day on all 7 days (23.2%), had exercised to strengthen or tone their muscles on ≥3 days/week (49.5%), had met both aerobic and muscle-strengthening physical activity guidelines (16.5%), or had attended physical education classes on all 5 days in an average school week (25.9%). Trend data indicate limited progress in shifting dietary and physical activity behaviors. That is, with the exception of decreases in the percentage of students who had consumed soda ≥1 time/day (2009: 29.2%; 2019: 15.1%), sports drinks ≥1 time/day (2015: 13.8%; 2019: 10.6%), and <3 glasses/day of plain water (2015: 50.5%; 2019: 44.6%), high school students' dietary and physical activity behaviors have not improved and, in certain cases, have worsened. These findings support the need for multicomponent approaches, including policy and environmental changes, and opportunities for adolescents to learn about and practice making healthy choices.

Disparities in Youth Sports Participation in the U.S., 2017-2018.

INTRODUCTION: In 2019, the National Youth Sports Strategy was released and called for regular analysis, interpretation, and dissemination of U.S. youth sports surveillance data. The purpose of this study is to provide the recent national estimates of U.S. youth aged 6-17 years who participate in sports and examine the differences in participation by demographic characteristics, overall and across age groups. METHODS: Nationally representative data on parent-reported youth sports participation from the 2017-2018 National Survey of Children's Health (n=36,779) were analyzed in 2019. The prevalence and 95% CIs of youth sports participation were estimated by demographic characteristics, overall and by age group. Investigators assessed the significant (p<0.05) differences and trends in participation using pairwise t-tests and orthogonal polynomial contrasts and effect modification by age group using logistic regression models. RESULTS: Overall, 57.7% (95% CI=56.6, 58.9) of U.S. youth participated in sports. Participation was highest among youth who were aged 10-13 years, male, and white, non-Hispanic and increased with increasing parent/caregiver education and household income (all p<0.05). Differences in participation by demographic characteristics were more pronounced among younger youth. For example, prevalence by household income level ranged from 32.7% to 79.9% among children aged 6-9 years and from 41.6% to 67.2% among youth aged 14-17 years. CONCLUSIONS: Although nearly 6 in 10 U.S. youth participate in sports, substantial disparities exist, especially among younger children. Identifying and overcoming the barriers may help increase youth sports participation in the U.S.

Concussion and Academic Impairment Among U.S. High School Students.

INTRODUCTION: Sports and physical activities are a frequent cause of traumatic brain injury, primarily concussions, among adolescents. These concussions may adversely affect students' ability to learn and impair academic achievement in educational settings. METHODS: The 2017 Youth Risk Behavior Survey, conducted among a nationally representative sample of 14,765 U.S. high school students, was analyzed in 2018 to examine associations between self-reported sports- and physical activity-related concussions and symptoms of cognitive impairment (difficulty concentrating, remembering, or making decisions) and self-reported academic grades (mostly A's=4.0, mostly B's=3.0, mostly C's=2.0, mostly D's=1.0, mostly F's=0.0). Adjusted prevalence ratio and the difference in self-reported estimated grade point average were adjusted for sex, race/ethnicity, grade, and athlete status (participation on sports teams) and considered statistically significant if p<0.05. RESULTS: Male students were more likely than female students (17.1% vs 13.0%), and athletes were more likely than nonathletes (21.4% vs 7.6%) to have a self-reported sports- and physical activity-related concussion in the 12 months preceding the survey. Students with a reported sports- and physical activity-related concussion were more likely than students without one to report symptoms of cognitive impairment regardless of whether they were male (adjusted prevalence ratio=1.49), female (adjusted prevalence ratio=1.37), athletes (adjusted prevalence ratio=1.45), or nonathletes (adjusted prevalence ratio=1.42). Self-reported grade point averagedecreased significantly from 3.14 among students who reported no concussions (referent), to 3.04 among students who reported a single concussion, and 2.81 among students who reported ≥2 concussions. CONCLUSIONS: School-based programs are needed to monitor students' academic performance and provide educational support and resources to promote academic success following a concussion.

Physical Education Policies in US Schools: Differences by School Characteristics.

BACKGROUND: We assessed the extent to which schools in the United States implement physical education policies identified in SHAPE America's Essential Components of Physical Education document and how implementation of these policies varies by school characteristics. METHODS: School policy data were collected as part of the 2014 School Health Policies and Practices Study via computer-assisted personal interviews in a nationally representative sample of K-12 schools and were linked to extant data on school characteristics. Bivariate analyses and Poisson regression model were used to examine how physical education policies differed by school characteristics. RESULTS: Five physical education policies varied by region and 3 varied by school level. Requiring certified, licensed, or endorsed physical education teachers varied by all school characteristics except school level and percentage of students eligible for free or reduced-price lunch. The average number of physical education policies implemented by schools was 3.0. The number of policies varied by metropolitan status and school level. CONCLUSIONS: The findings suggest many schools are only implementing a few of the physical education policies that can strengthen their physical education programs. These findings can be used to target professional development and technical assistance for physical education practitioners on policy and implementation.

Practices That Support and Sustain Health in Schools: An Analysis of SHPPS Data.

BACKGROUND: The Whole School, Whole Community, Whole Child (WSCC) model provides an organizing framework for schools to develop and implement school health policies, practices, and programs. The purpose of this study was to examine the presence of practices that support school health for each component of the WSCC model in US schools. METHODS: Data from the School Health Policies and Practices Study 2014 were analyzed to determine the percentage of schools with practices in place that support school health for WSCC components. RESULTS: Less than 27% of schools had a school health council that addressed any specific WSCC component, but more than 50% had a coordinator for all but one component. The use of other practices that support school health varied widely across the WSCC components. For example, more than 80% of schools reported family engagement for health education and nutrition environment and services, but less than 50% reported family engagement for other components. CONCLUSIONS: These results indicate that many US schools are using practices that support school health and align with WSCC components, but improvement is needed. These results also highlight discrepancies in the types of practices being used.

Do Schools That Screen for Body Mass Index Have Recommended Safeguards in Place?

The Centers for Disease Control and Prevention recommends that schools adopt 10 safeguards before launching a body mass index (BMI) screening program; however, little is known about schools' safeguard adoption. Authors identified questions from the 2014 School Health Policies and Practices Study that aligned with 4 of the 10 safeguards to estimate safeguard prevalence among schools that screened students for BMI (40.7%, N = 223). Among these schools, 3.1% had all four safeguards and 56.5% had none or one. The most prevalent safeguard was having reliable and accurate equipment (54.1%, 95% confidence interval [CI] = [46.1, 62.1]). Providing staff with appropriate expertise and training was the least prevalent; respondents in 26.4% (95% CI [17.1, 35.6]) of schools received recent training on weight status assessment, weight management, and eating disorder identification. School-based BMI screening is common, but adopting multiple recommended safeguards is not. Absent these safeguards, BMI screening programs may fall short of intended outcomes and potentially incur unintended consequences.

Implementation of an integrated pharmacy supply management strategy.

PURPOSE: Implementation of an integrated pharmacy supply management strategy is described. SUMMARY: In 2011, the formulary approval process and supply management for oncology medications were independent of each other at an oncology infusion center. Numerous nonformulary medications were kept on hand and reordered based on inventory levels that were established with inadequate usage information, while some formulary agents did not have on-hand inventory levels and had to be reordered on a patient-specific basis, which required paperwork and then a review by drug information staff per institutional policy. Because there was no true distinction in the ordering of formulary versus nonformulary oncology agents, the medical staff prescribed both in the same manner, leaving the pharmacy staff responsible for ensuring that enough quantities were on hand for many drugs, regardless of formulary status. Using supply chain management principles, a formal analysis of the on-hand inventory was performed. In addition, the formulary process for oncology drugs was restructured to align with how oncology drugs are managed for on-hand inventory levels. The alignment of these processes allowed the operation to have 1 supply strategy for the ambulatory oncology infusion center. As a result, inventory exhaustion rates were reduced by 70% and inventory turn rates improved by 78%. There was also significant time savings in the operational process streamlining, eliminating the rework and inefficiencies caused by an unclear process that was not fully captured in this assessment. CONCLUSION: Alignment of the formulary review process with inventory analyses that support supply management principles reduced inventory exhaustion while improving inventory turn rates.

Health-Related Behaviors and Academic Achievement Among High School Students - United States, 2015.

Studies have shown links between educational outcomes such as letter grades, test scores, or other measures of academic achievement, and health-related behaviors (1-4). However, as reported in a 2013 systematic review, many of these studies have used samples that are not nationally representative, and quite a few studies are now at least 2 decades old (1). To update the relevant data, CDC analyzed results from the 2015 national Youth Risk Behavior Survey (YRBS), a biennial, cross-sectional, school-based survey measuring health-related behaviors among U.S. students in grades 9-12. Analyses assessed relationships between academic achievement (i.e., self-reported letter grades in school) and 30 health-related behaviors (categorized as dietary behaviors, physical activity, sedentary behaviors, substance use, sexual risk behaviors, violence-related behaviors, and suicide-related behaviors) that contribute to leading causes of morbidity and mortality among adolescents in the United States (5). Logistic regression models controlling for sex, race/ethnicity, and grade in school found that students who earned mostly A's, mostly B's, or mostly C's had statistically significantly higher prevalence estimates for most protective health-related behaviors and significantly lower prevalence estimates for most health-related risk behaviors than did students with mostly D's/F's. These findings highlight the link between health-related behaviors and education outcomes, suggesting that education and public health professionals can find their respective education and health improvement goals to be mutually beneficial. Education and public health professionals might benefit from collaborating to achieve both improved education and health outcomes for youths.

Strategic Priorities for Physical Activity Surveillance in the United States.

PURPOSE: Develop strategic priorities to guide future physical activity surveillance in the United States. METHODS: The Centers for Disease Control and Prevention and the American College of Sports Medicine convened a scientific roundtable of physical activity and measurement experts. Participants summarized the current state of aerobic physical activity surveillance for adults, focusing on practice and research needs in three areas: 1) behavior, 2) human movement, and 3) community supports. Needs and challenges for each area were identified. At the conclusion of the meeting, experts identified one overarching strategy and five strategic priorities to guide future surveillance. RESULTS: The identified overarching strategy was to develop a national plan for physical activity surveillance similar to the U.S. National Physical Activity Plan for promotion. The purpose of the plan would be to enhance coordination and collaboration within and between sectors, such as transportation and public health, and to address specific strategic priorities identified at the roundtable. These strategic priorities were used 1) to identify and prioritize physical activity constructs; 2) to assess the psychometric properties of instruments for physical activity surveillance; 3) to provide training and technical assistance for those collecting, analyzing, or interpreting surveillance data; 4) to explore accessing data from alternative sources; and 5) to improve communication, translation, and dissemination about estimates of physical activity from surveillance systems. CONCLUSION: This roundtable provided strategic priorities for physical activity surveillance in the United States. A first step is to develop a national plan for physical activity surveillance that would provide an operating framework from which to execute these priorities.

Variety, Enjoyment, and Physical Activity Participation Among High School Students.

BACKGROUND: Federal guidelines state that youth should participate in a variety of physical activity (PA) they find enjoyable. Little is known, however, about how variety and enjoyment are associated with PA participation among adolescents. METHODS: Data came from the 2010 National Youth Physical Activity and Nutrition Survey, a nationally representative survey of adolescents. Path analysis was used to examine the association of a variety of self-reported PA, defined as the number of activities and activity types (ie, team sports/weightlifting, individual activities, and other competitive/recreational sports), on self-reported PA enjoyment and participation. The analysis also examined whether enjoyment mediates the association between a variety of PA and participation. Separate models were estimated for boys and girls. RESULTS: Number of activities was associated with increased PA enjoyment and participation. For boys and girls, team sports/weightlifting was associated with increased participation, and individual activities were indirectly associated with increased participation through enjoyment. For boys, team sports/weightlifting was indirectly related with participation. CONCLUSIONS: These findings suggest that participation in a variety of PA is associated with increased PA enjoyment and participation. Providing opportunities for adolescents to engage in a variety of activities might help them identify PA they enjoy and facilitate lifelong PA habits.

Active Gaming Among High School Students--United States, 2010.

OBJECTIVES: Our study is the first to describe the prevalence and correlates (demographics, body mass index [BMI], sedentary behaviors, and physical activity) of high school youth who report active videogame playing (active gaming) in a U.S. representative sample. MATERIALS AND METHODS: The National Youth Physical Activity and Nutrition Study of 2010 provided data for this study. Active gaming was assessed as the number of days in the 7 days prior to the survey that students in grades 9-12 (14-18 years of age) reported participating in active videogames (e.g., "Wii™ Fit" [Nintendo, Kyoto, Japan], "Dance Dance Revolution" [Konami, Osaka, Japan]). Students reporting ≥1 days were classified as active gamers. Logistic regression was used to examine the association among active gaming and demographic characteristics, BMI, sedentary behaviors, and physical activity. RESULTS: Among 9125 U.S. high school students in grades 9-12 surveyed, 39.9 percent (95 percent confidence interval=37.9 percent, 42.0 percent) reported active gaming. Adjusting for covariates, the following characteristics were positively associated (P<0.05) with active gaming: being in 9th and 10th grades compared with being in 12th grade; being of black, non-Hispanic race/ethnicity; being overweight or obese; watching DVDs >0 hours/day; watching TV >0 hours/day; and meeting guidelines for aerobic and muscle-strengthening physical activity. CONCLUSIONS: Four out of 10 U.S. high school students report participating in active gaming. Active gamers tend to spend more time watching DVDs or TV, meet guidelines for physical activity, and/or be overweight or obese compared with nonactive gamers. These findings may serve to provide a baseline to track active gaming in U.S. youth and inform interventions that target sedentary behaviors and/or physical activity.