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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9002873</journal-id><journal-id journal-id-type="pubmed-jr-id">1762</journal-id><journal-id journal-id-type="nlm-ta">AIDS Educ Prev</journal-id><journal-id journal-id-type="iso-abbrev">AIDS Educ Prev</journal-id><journal-title-group><journal-title>AIDS education and prevention : official publication of the International Society for AIDS Education</journal-title></journal-title-group><issn pub-type="ppub">0899-9546</issn><issn pub-type="epub">1943-2755</issn></journal-meta><article-meta><article-id pub-id-type="pmid">35994577</article-id><article-id pub-id-type="pmc">9923753</article-id><article-id pub-id-type="doi">10.1521/aeap.2022.34.4.300</article-id><article-id pub-id-type="manuscript">HHSPA1872118</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>INTERVENING AT THE RIGHT LEVEL TO IMPROVE STUDENT HEALTH: AN ANALYSIS OF LEVELS OF INFLUENCE ON SEXUAL BEHAVIOR OF HIGH SCHOOL STUDENTS</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Li</surname><given-names>Jingjing</given-names></name><aff id="A1">Centers for Disease Control and Prevention, Division of Adolescent and School Health, Atlanta, Georgia</aff></contrib><contrib contrib-type="author"><name><surname>Timpe</surname><given-names>Zach</given-names></name><aff id="A2">ICF, Atlanta, Georgia</aff></contrib><contrib contrib-type="author"><name><surname>Suarez</surname><given-names>Nicolas</given-names></name><aff id="A3">Centers for Disease Control and Prevention, Division of Adolescent and School Health, Atlanta, Georgia</aff></contrib><contrib contrib-type="author"><name><surname>Ashley</surname><given-names>Carmen L.</given-names></name><aff id="A4">Centers for Disease Control and Prevention, Division of Adolescent and School Health, Atlanta, Georgia</aff></contrib><contrib contrib-type="author"><name><surname>Rasberry</surname><given-names>Catherine N.</given-names></name><aff id="A5">Centers for Disease Control and Prevention, Division of Adolescent and School Health, Atlanta, Georgia</aff></contrib><contrib contrib-type="author"><name><surname>Robin</surname><given-names>Leah</given-names></name><aff id="A6">Centers for Disease Control and Prevention, Division of Adolescent and School Health, Atlanta, Georgia</aff></contrib></contrib-group><author-notes><corresp id="CR1">Address correspondence to Jingjing Li, PhD, MD, MPH, Division of Adolescent and School Health, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, U.S. Centers for Disease Control and Prevention, 1600 Clifton Rd., Atlanta, GA 30333. <email>ppy8@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>7</day><month>2</month><year>2023</year></pub-date><pub-date pub-type="ppub"><month>8</month><year>2022</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>8</month><year>2023</year></pub-date><volume>34</volume><issue>4</issue><fpage>300</fpage><lpage>310</lpage><abstract id="ABS1"><p id="P1">This study adopts a socio-ecological framework and examines school- and district-level influences on sexual behaviors among high school students from 16 school districts that were federally funded to conduct a school-based, multilevel sexual health program. We drew cross-sectional data from the 2015 and 2017 Youth Risk Behavior Survey from funded school districts containing 648 schools and 101,728 students. We used multilevel modeling to determine the percentage of variance in sexual health outcomes explained at school and district levels, overall and by race/ethnicity and biological sex. We found protective behaviors such as using hormonal birth control had considerable district-level variance (10.1%) while sexual risk behaviors such as having multiple sex partners showed considerable school-level variance (12.7%). We also found significant subgroup heterogeneity in the variance. Findings indicate school-based interventions should address all levels of influences of the educational system to effectively improve a myriad of student sexual health outcomes.</p></abstract><kwd-group><kwd>HIV</kwd><kwd>STI</kwd><kwd>teen pregnancy</kwd><kwd>sexual risk behaviors</kwd><kwd>youth</kwd><kwd>adolescent</kwd><kwd>school-based intervention</kwd><kwd>school district</kwd><kwd>implementation science</kwd><kwd>multilevel analysis</kwd></kwd-group></article-meta></front><body><sec id="S1"><title>INTRODUCTION</title><p id="P2">Youth experience extensive hormonal, behavioral, and psychological changes in transitioning from adolescence to adulthood (<xref rid="R31" ref-type="bibr">Spear, 2000</xref>). During adolescence, many young people engage in sexual risk behaviors (e.g., multiple sexual partners) that contribute to negative health outcomes that impact their life course (<xref rid="R2" ref-type="bibr">Anda et al., 1999</xref>; <xref rid="R4" ref-type="bibr">Bernat et al., 2012</xref>; <xref rid="R12" ref-type="bibr">Felitti et al., 1998</xref>; <xref rid="R24" ref-type="bibr">Norman et al., 2012</xref>; <xref rid="R37" ref-type="bibr">Whitfield et al., 2003</xref>). From a socio-ecological perspective, many factors influencing adolescent sexual behaviors operate at individual, interpersonal, and institutional levels and thus may be best addressed by multilevel and systemic interventions (<xref rid="R9" ref-type="bibr">Cordova et al., 2020</xref>; <xref rid="R11" ref-type="bibr">Ethier et al., 2011</xref>; <xref rid="R20" ref-type="bibr">Mayberry et al., 2009</xref>; <xref rid="R25" ref-type="bibr">Perrino et al., 2000</xref>; <xref rid="R38" ref-type="bibr">Wight et al., 2006</xref>; <xref rid="R39" ref-type="bibr">Yildiz et al., 2019</xref>).</p><p id="P3">From 2013 to 2018, the Centers for Disease Control and Prevention (<xref rid="R8" ref-type="bibr">[CDC], 2018</xref>)&#x02019;s Division of Adolescent and School Health (DASH) funded school districts to provide resources and assistance to schools to implement evidence-based approaches through a number of multilevel, multicomponent approaches to prevent student risk behaviors, with a focus on sexual behaviors. The program centered on health education, health service continuum, and safe and supportive environments to address student health from all levels; from individual-level factors (such as teaching skills to help adolescents access health care providers) to policy-level factors (such as policies that govern which services are available and how youth may access them). Although core activities were required of school districts (see <xref rid="SD1" ref-type="supplementary-material">Supplemental Table S1</xref> for detailed activities and levels of implementation), districts had broad discretion in which activities were implemented and how they were implemented based on local needs and resources.</p><p id="P4"><xref rid="R29" ref-type="bibr">Robin et al. (2022)</xref> evaluated the effectiveness of the CDC DASH program, and evidence indicated that exposure to the program was associated with significant decreases in ever having sex, having four or more lifetime sexual partners, and being currently sexually active. However, exposure to the program was also associated with decreases in the use of effective hormonal birth control and with no change in condom use, use of both effective hormonal birth control and condoms at last intercourse, and HIV testing. We also evaluated how levels of program implementation affected the program effects and found that implementing more activities to enhance safe and supportive school environments was associated with enhanced program effects in improving student sexual health outcomes (<xref rid="R16" ref-type="bibr">Li et al., 2022</xref>).</p><p id="P5">By design, the DASH multilevel health program aimed to impact student health through implementing the program at every level of the educational system (e.g., school districts, schools, students). Decisions regarding health programs, education, and services are often made at these levels, and each of these levels of influence impacts individual student health behaviors significantly in the form of service and resource allocation. For the multilevel program to be successful, it is important for activities at all levels of the educational system to be coordinated to achieve maximum intervention effects.</p><p id="P6">To date, little evidence exists to examine the influence of each level of educational systems on student health behaviors (<xref rid="R1" ref-type="bibr">Acosta et al., 2019</xref>; <xref rid="R5" ref-type="bibr">Bohanon et al., 2016</xref>; <xref rid="R17" ref-type="bibr">Lindberg et al., 2020</xref>; <xref rid="R30" ref-type="bibr">Shackleton et al., 2016</xref>). As part of a broader evaluation of the CDC DASH program, our aim is to measure the amount of influence of the school and district levels on student sexual health behaviors. Understanding the influence of schools and school districts on student sexual behaviors may help develop or refine interventions for these settings. A secondary aim of this study is to examine any school or district level impacts on variance in these outcomes by racial/ethnic subgroups and by sex. Understanding differences in variance among these groups may allow tailoring of programs to better address their specific contexts.</p><p id="P7">Understanding the role of each level of the educational system in adolescent risk behaviors is key to effectively allocating intervention efforts and resources to affect risk behaviors at the appropriate levels.</p></sec><sec id="S2"><title>METHODS</title><sec id="S3"><title>DATA SOURCE</title><p id="P8">Student-level health experiences and outcomes were collected through repeated cross-sectional data from the Youth Risk Behavior Survey (YRBS) in 2015 and 2017. The YRBS is a biennial survey that includes school-based national, state, tribal, and large urban school district surveys of high school students. The YRBS uses a two-stage cluster sample design to collect representative samples of 9th&#x02013;12th grade students who attend public and private schools (<xref rid="R7" ref-type="bibr">Brener et al., 2013</xref>). More details about YRBS survey administration and data collection are described elsewhere (<xref rid="R35" ref-type="bibr">Underwood et al., 2020</xref>).</p><p id="P9">Between 2013 and 2018, CDC DASH funded 17 urban school districts in nine states (California, Florida, Ohio, Illinois, Massachusetts, Pennsylvania, New York, Tennessee, Texas) and Washington, DC. These funded school districts implemented a school-based, multilevel, multicomponent program to address student health and administered the YRBS in 2015 and 2017. For the current study, one school district was excluded from the sample due to a low response rate for the YRBS (an average of 20% response rate in this district). The sample further excluded students who had missing values in demographic data or selected &#x0201c;ungraded&#x0201d; as their grade in school. The final analytic sample included 16 school districts containing 648 schools and 101,728 students in both years combined.</p></sec><sec id="S4"><title>MEASURES</title><p id="P10">Student health outcomes, operationalized YRBS items, and their analytic coding are listed in <xref rid="T1" ref-type="table">Table 1</xref>. Primary outcomes of interest included (a) having ever had sex, (b) having had four or more lifetime sexual partners, (c) being currently sexually active, (d) use of effective hormonal birth control, (e) using a condom during last sexual intercourse, (f) using a condom and effective hormonal birth control, and (g) having ever tested for HIV. Three outcomes were analyzed only for students who self-reported being currently sexually active (see <xref rid="T1" ref-type="table">Table 1</xref>). All variables were dichotomized.</p></sec><sec id="S5"><title>DATA ANALYSIS</title><p id="P11">Multilevel analysis can reveal whether individual outcomes are statistically dependent on the contexts of the respondents (<xref rid="R18" ref-type="bibr">Luke, 2004</xref>). When student data are clustered within schools and schools within the districts, this data structure may demonstrate a clustering/nesting effect upon the outcome and needs to be accounted for to obtain accurate regression estimates. Not only can multilevel analysis control for clustering effects, but it can also determine the amount of the variance in the outcomes attributable to school and school district levels (<xref rid="R18" ref-type="bibr">Luke, 2004</xref>; <xref rid="R21" ref-type="bibr">Merlo, Chaix et al., 2005a</xref>, <xref rid="R22" ref-type="bibr">2005b</xref>). As such, we constructed three-level multilevel logistic regression models to account for nesting of 101,728 students (level 1) in 648 schools (level 2) within 16 school districts (level 3). We began by conducting a descriptive analysis of individual-level outcomes. As our goal was to determine the variances in the outcomes attributable to each level of the educational system, we then constructed an empty multilevel model for each outcome, which only included a random intercept (see <xref rid="SD1" ref-type="supplementary-material">Supplemental Figure S1</xref> for <xref rid="SD1" ref-type="supplementary-material">Equation 1</xref>).</p><p id="P12">Based on the unconditional model&#x02019;s output, variance components for school- and district-levels were calculated (<xref rid="R21" ref-type="bibr">Merlo, Chaix, et al., 2005a</xref>; <xref rid="R23" ref-type="bibr">Merlo, Yang, et al., 2005</xref>). The variance component is the proportion of total variance in the outcomes resulting from the influence of the school level (see <xref rid="SD1" ref-type="supplementary-material">Supplemental Figure S1</xref> for <xref rid="SD1" ref-type="supplementary-material">Equation 2</xref>) or district level (see <xref rid="SD1" ref-type="supplementary-material">Supplemental Figure S1</xref> for <xref rid="SD1" ref-type="supplementary-material">Equation 3</xref>). Statistically, a variance component of 5% at school-level means that 5% of the variance in the odds of the outcome among students was apportioned to the school-level. Similarly, a variance component of 10% at district-level would mean that 10% of the variance in the odds of the outcome among students was apportioned to the district-level. The higher the variance percentage at a given level, the greater influence that level has on the outcome. For the race/ethnicity-specific or sex-specific variance component, we limited the samples to certain races/ethnicities or sexes and applied the same variance component equation. SAS 9.4 (SAS Institute, Cary, NC) was used for all statistical analyses.</p></sec></sec><sec id="S6"><title>RESULTS</title><sec id="S7"><title>DESCRIPTIVE STATISTICS</title><p id="P13"><xref rid="T2" ref-type="table">Table 2</xref> shows descriptive statistics of the sample&#x02019;s demographic and outcome variables for both years combined. Overall, 50.6% of students were female, 39.1% were Hispanic/Latino, and students were evenly distributed by grade. Among all students, 36.5% reported ever having sex, 25.4% reported currently being sexually active, 21.0% had ever tested for HIV, and 10.4% had four or more lifetime sexual partners. Among students who were currently sexually active, 58.1% reported using a condom during last sexual intercourse, 18.9% used effective hormonal birth control, and 6.7% reported using both a condom during last sex and effective hormonal birth control.</p></sec><sec id="S8"><title>VARIANCE COMPONENTS</title><p id="P14">The results of the variance component analysis for outcomes for overall students, by race/ethnicity, and by sex are presented in <xref rid="T3" ref-type="table">Tables 3</xref> and <xref rid="T4" ref-type="table">4</xref>. We bolded variance percentages that are greater than 10% to better illustrate prominent findings.</p><p id="P15">Collectively, more than 10% of the variance in sexual risk behaviors (i.e., ever had sex, had four or more lifetime sexual partners, and currently sexually active) was attributable to levels of the educational system (i.e., school and district levels combined); and 13.3% and 14.6% of the variance in using hormonal birth control and ever tested for HIV were attributable to the educational system, respectively (<xref rid="T3" ref-type="table">Table 3</xref> Total; <xref rid="T4" ref-type="table">Table 4</xref> Total). In terms of district-level variance (<xref rid="T3" ref-type="table">Tables 3</xref> and <xref rid="T4" ref-type="table">4</xref>), 10.1% and 6.1% of the variance in the odds of using hormonal birth control and ever tested for HIV were apportioned to the district-level, respectively. In terms of school-level variance (<xref rid="T3" ref-type="table">Tables 3</xref> and <xref rid="T4" ref-type="table">4</xref>), 11.5% of the variance in the odds of ever had sex, 12.7% of the variance in the odds of having four or more lifetime sexual partners, and 9.2% of the variance in the odds of being currently sexually active were apportioned to school-level, respectively.</p><p id="P16">We also present the variance apportioned to school- and district-levels for each racial/ethnic group (<xref rid="T3" ref-type="table">Table 3</xref>, column W to column O) and for biological sex (<xref rid="T4" ref-type="table">Table 4</xref>, columns Male and Female). We observed racial/ethnic differences in the variance apportioned to school and district levels. For example, students in the other race category had the highest percentage of variance (18.4%) in the odds of having had four or more lifetime sexual partners that was apportioned to school level, followed by non-Hispanic Black (11.8%), non-Hispanic White (9.3%), and finally Hispanic/Latino (7.6%) students. In contrast, Hispanic/Latino students reported the highest percentage of variance (11.8%) in the odds of using hormonal birth control apportioned to the district level, followed by non-Hispanic Black (10.5%), other race (10.2%), and finally non-Hispanic White (5.8%) students.</p><p id="P17">Only a few outcome variables show notable differences in the variance composition by biological sex. These included having four or more sexual partners (14.5% school-level variance in male students vs. 9.8% in females) and the use of hormonal birth control (12.4% district-level variance in female students vs. 7.4% in males).</p></sec></sec><sec id="S9"><title>DISCUSSION</title><p id="P18">Multilevel interventions are much more effective in achieving desired outcomes than single level interventions, particularly when there is coordinated design and implementation of programmatic elements across levels (<xref rid="R3" ref-type="bibr">Anderson &#x00026; O&#x02019;Donnell, 1994</xref>; <xref rid="R32" ref-type="bibr">Stokols, 1996</xref>). A prominent question when evaluating multilevel interventions is whether the intervention at one level facilitates or hinders the intervention at another level. Assessing this is important because without understanding the effect of each level on intervention outcomes, it is difficult to understand why the intended outcomes were or were not achieved. Additionally, a multilevel intervention is more likely to be transferred successfully to other settings when we know how each level of the intervention affects the intended outcomes. Hence, a major task when evaluating a multilevel intervention is researching multiple levels of influence of the intervention setting.</p><p id="P19">This study is a first step in understanding how district and school levels affect the CDC DASH program in addressing students&#x02019; sexual health outcomes. We examined school- and district-level variance in students&#x02019; sexual health outcomes among 16 urban school districts that received CDC DASH funding and found the use of hormonal birth control has considerable variance (10.1%) at the district level while ever having sex, having four or more lifetime sexual partners, and being currently sexually active show considerable variance (around 10%) at the school level. We also found noticeable heterogeneity in those variances across race/ethnic subgroups and sexes. These findings confirm the importance of multilevel interventions to attend to school- and district-level influences that may impact sexual health programming and sheds light on future intervention program design.</p><p id="P20">In our previous evaluation of the CDC DASH school-based adolescent health program, we found that exposure to the program was associated with reduced use of effective hormonal birth control and not associated with having ever tested for HIV (<xref rid="R29" ref-type="bibr">Robin et al., 2022</xref>). The current study provides the evidence that the district-level variance had considerable influence on these two student outcomes (10.1% and 6.1%, respectively). This finding indicates that district-level influences that may include district and community characteristics and state education and health policies and guidance (<xref rid="R14" ref-type="bibr">Guttmacher Institute, 2021</xref>; <xref rid="R36" ref-type="bibr">Westbrook et al., 2022</xref>) may impact students&#x02019; uptake of these protective behaviors to a considerable degree. To date, little research has explored district-level influences on student-level outcomes and few school-based interventions address these influences. Future research is warranted to determine which specific district-level factors influence students&#x02019; hormonal birth control use and HIV testing. Such research could provide insights to help strengthen the development of district-level strategies for a more effective school-based multilevel health program.</p><p id="P21">We also found notable school-level variance in having ever had sex (11.5%), having four or more lifetime sexual partners (12.7%), and being currently sexually active (9.2%). This finding is consistent with previous evidence that school environments are important influences on student sexual risk behaviors (<xref rid="R10" ref-type="bibr">Elkington et al., 2011</xref>; <xref rid="R15" ref-type="bibr">Holt et al., 2013</xref>; <xref rid="R19" ref-type="bibr">Marschall-L&#x000e9;vesque et al., 2014</xref>; <xref rid="R27" ref-type="bibr">Ramirez-Valles et al., 1998</xref>; <xref rid="R28" ref-type="bibr">Ritchwood et al., 2015</xref>; <xref rid="R33" ref-type="bibr">Teitelman et al., 2008</xref>). This finding reinforces the need to strengthen school-level activities including health education, health and mental health services, and increasing student connectedness to their schools to better address students&#x02019; sexual risk behaviors (<xref rid="R6" ref-type="bibr">Boyer et al., 2000</xref>; <xref rid="R9" ref-type="bibr">Cordova et al., 2020</xref>; <xref rid="R13" ref-type="bibr">Fletcher et al., 2008</xref>; <xref rid="R16" ref-type="bibr">Li et al. 2022</xref>; <xref rid="R20" ref-type="bibr">Mayberry et al., 2009</xref>; <xref rid="R25" ref-type="bibr">Perrino et al., 2000</xref>; <xref rid="R26" ref-type="bibr">Poteat et al., 2013</xref>; <xref rid="R30" ref-type="bibr">Shackleton et al., 2016</xref>).</p><p id="P22">Our findings show noticeable racial/ethnic and between-sex differences in most outcomes, indicating that school and district levels differentially influence students&#x02019; sexual health outcomes. For example, the district level had more influence on use of hormonal birth control among non-Hispanic Black, Hispanic/Latino, and other race students than on non-Hispanic White students. Similarly, the district level had more influence on female students&#x02019; use of hormonal birth control than on male students&#x02019; use. At the school level, there was some evidence of differential impact by race and gender. For example, the school level had more influence on non-Hispanic Black and other race students&#x02019; likelihood of four or more sexual partners than for their White and Hispanic peers. Similarly, the school level had more influence on male students&#x02019; likelihood of having four or more sexual partners than for female students. Further research on these differential impacts by race and sex could facilitate the identification of effective intervention elements in schools, districts, communities, and state health and education agencies that could help to reduce health disparities by race, ethnicity, and sex.</p><sec id="S10"><title>LIMITATIONS</title><p id="P23">This study has several limitations. We did not measure all ecological contexts such as classroom, home, or neighborhood that could simultaneously influence youth health. Additionally, although we were able to partition the variance at different levels, identifying specific mediating variables at the school and district levels was beyond the scope of this study. Therefore, future research needs to explore the extended characteristics of school and districts to explain the variation in youth health outcomes between schools and districts. Finally, this analysis included students in 16 DASH-funded school districts and our findings cannot be generalized beyond them.</p></sec></sec><sec id="S11"><title>CONCLUSIONS</title><p id="P24">As part of a larger evaluation of the CDC DASH program, this study examined levels of influence of the educational system on student sexual health outcomes that might be overlooked in a single-level analysis. Specifically, students&#x02019; use of effective hormonal birth control and HIV testing showed sizeable district-level variance and their sexual behaviors showed considerable school-level variation. We also found notable heterogeneity in these variances across racial/ethnic groups and sexes.</p><p id="P25">This study sheds new light on the findings of a previous evaluation of the CDC DASH program and has important implications for future intervention programming. It reveals the need to investigate the specific drivers of district-level influences on use of effective hormonal birth control and having ever tested for HIV and reinforces the needs to incorporate school-level activities to address school-level influences on student sexual risk behaviors. Additionally, depending on the outcome and depending on the racial/ethnic group, school and district administrators, teachers, and staff may need to consider the specific impact of school and district contexts on intended populations when tailoring program efforts.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>1</label><media xlink:href="NIHMS1872118-supplement-1.pdf" id="d64e392" position="anchor"/></supplementary-material></sec></body><back><ack id="S12"><p id="P26">The authors received no financial support for the research, authorship, and/or publication of this article. The findings and conclusions in the manuscript are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.</p></ack><fn-group><fn id="FN1"><p id="P27"><xref rid="SD1" ref-type="supplementary-material">Supplemental materials</xref> are available online.</p></fn><fn fn-type="COI-statement" id="FN2"><p id="P28">The authors have no conflicts of interest to disclose.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><mixed-citation publication-type="journal"><name><surname>Acosta</surname><given-names>J</given-names></name>, <name><surname>Chinman</surname><given-names>M</given-names></name>, <name><surname>Ebener</surname><given-names>P</given-names></name>, <name><surname>Malone</surname><given-names>PS</given-names></name>, <name><surname>Phillips</surname><given-names>A</given-names></name>, &#x00026; <name><surname>Wilks</surname><given-names>A</given-names></name> (<year>2019</year>). <article-title>Evaluation of a whole-school change intervention: Findings from a two-year cluster-randomized trial of the restorative practices intervention</article-title>. <source>Journal of Youth and Adolescence</source>, <volume>48</volume>(<issue>5</issue>), <fpage>876</fpage>&#x02013;<lpage>890</lpage>.<pub-id pub-id-type="pmid">30900083</pub-id></mixed-citation></ref><ref id="R2"><mixed-citation publication-type="journal"><name><surname>Anda</surname><given-names>RF</given-names></name>, <name><surname>Croft</surname><given-names>JB</given-names></name>, <name><surname>Felitti</surname><given-names>VJ</given-names></name>, <name><surname>Nordenberg</surname><given-names>D</given-names></name>, <name><surname>Giles</surname><given-names>WH</given-names></name>, <name><surname>Williamson</surname><given-names>DF</given-names></name>, &#x00026; <name><surname>Giovino</surname><given-names>GA</given-names></name> (<year>1999</year>). <article-title>Adverse childhood experiences and smoking during adolescence and adulthood</article-title>. <source>JAMA</source>, <volume>282</volume>(<issue>17</issue>), <fpage>1652</fpage>&#x02013;<lpage>1658</lpage>.<pub-id pub-id-type="pmid">10553792</pub-id></mixed-citation></ref><ref id="R3"><mixed-citation publication-type="journal"><name><surname>Anderson</surname><given-names>DR</given-names></name>, &#x00026; <name><surname>O&#x02019;Donnell</surname><given-names>MP</given-names></name> (<year>1994</year>). <article-title>Toward a health promotion research agenda: &#x0201c;State of the science&#x0201d; reviews</article-title>. <source>American Journal of Health Promotion</source>, <volume>8</volume>(<issue>6</issue>), <fpage>462</fpage>&#x02013;<lpage>465</lpage>.<pub-id pub-id-type="pmid">10147275</pub-id></mixed-citation></ref><ref id="R4"><mixed-citation publication-type="journal"><name><surname>Bernat</surname><given-names>DH</given-names></name>, <name><surname>Oakes</surname><given-names>JM</given-names></name>, <name><surname>Pettingell</surname><given-names>SL</given-names></name>, &#x00026; <name><surname>Resnick</surname><given-names>M</given-names></name> (<year>2012</year>). <article-title>Risk and direct protective factors for youth violence: Results from the National Longitudinal Study of Adolescent Health</article-title>. <source>American Journal of Preventive Medicine</source>, <volume>43</volume>(<issue>2</issue>), <fpage>S57</fpage>&#x02013;<lpage>S66</lpage>.<pub-id pub-id-type="pmid">22789958</pub-id></mixed-citation></ref><ref id="R5"><mixed-citation publication-type="journal"><name><surname>Bohanon</surname><given-names>H</given-names></name>, <name><surname>Gilman</surname><given-names>C</given-names></name>, <name><surname>Parker</surname><given-names>B</given-names></name>, <name><surname>Amell</surname><given-names>C</given-names></name>, &#x00026; <name><surname>Sortino</surname><given-names>G</given-names></name> (<year>2016</year>). <article-title>Using school improvement and implementation science to integrate multi-tiered systems of support in secondary schools</article-title>. <source>Australasian Journal of Special Education</source>, <volume>40</volume>(<issue>2</issue>), <fpage>99</fpage>&#x02013;<lpage>116</lpage>.</mixed-citation></ref><ref id="R6"><mixed-citation publication-type="journal"><name><surname>Boyer</surname><given-names>CB</given-names></name>, <name><surname>Shafer</surname><given-names>M-A</given-names></name>, <name><surname>Wibbelsman</surname><given-names>CJ</given-names></name>, <name><surname>Seeberg</surname><given-names>D</given-names></name>, <name><surname>Teitle</surname><given-names>E</given-names></name>, &#x00026; <name><surname>Lovell</surname><given-names>N</given-names></name> (<year>2000</year>). <article-title>Associations of sociodemographic, psychosocial, and behavioral factors with sexual risk and sexually transmitted diseases in teen clinic patients</article-title>. <source>Journal of Adolescent Health</source>, <volume>27</volume>(<issue>2</issue>), <fpage>102</fpage>&#x02013;<lpage>111</lpage>.</mixed-citation></ref><ref id="R7"><mixed-citation publication-type="journal"><name><surname>Brener</surname><given-names>ND</given-names></name>, <name><surname>Kann</surname><given-names>L</given-names></name>, <name><surname>Shanklin</surname><given-names>S</given-names></name>, <name><surname>Kinchen</surname><given-names>S</given-names></name>, <name><surname>Eaton</surname><given-names>DK</given-names></name>, <name><surname>Hawkins</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Flint</surname><given-names>KH</given-names></name> (<year>2013</year>). <article-title>Methodology of the youth risk behavior surveillance system&#x02014;2013</article-title>. <source>Morbidity and Mortality Weekly Report: Recommendations and Reports</source>, <volume>62</volume>(<issue>1</issue>), <fpage>1</fpage>&#x02013;<lpage>20</lpage>.</mixed-citation></ref><ref id="R8"><mixed-citation publication-type="webpage"><collab>Centers for Disease Control and Prevention</collab>. (<year>2018</year>). <source>School connectedness</source>. <comment>Retrieved from <ext-link xlink:href="https://www.cdc.gov/healthyyouth/protective/school_connectedness.htm" ext-link-type="uri">https://www.cdc.gov/healthyyouth/protective/school_connectedness.htm</ext-link></comment></mixed-citation></ref><ref id="R9"><mixed-citation publication-type="journal"><name><surname>Cordova</surname><given-names>D</given-names></name>, <name><surname>Munoz-Velazquez</surname><given-names>J</given-names></name>, <name><surname>Lua</surname><given-names>FM</given-names></name>, <name><surname>Fessler</surname><given-names>K</given-names></name>, <name><surname>Warner</surname><given-names>S</given-names></name>, <name><surname>Delva</surname><given-names>J</given-names></name>, <name><surname>Adelman</surname><given-names>N</given-names></name>, <collab>Youth Leadership Counsel</collab>, <name><surname>Fernandez</surname><given-names>A</given-names></name>, &#x00026; <name><surname>Bauermeister</surname><given-names>J</given-names></name>. (<year>2020</year>). <article-title>Pilot study of a multilevel mobile health app for substance use, sexual risk behaviors, and testing for sexually transmitted infections and HIV among youth: Randomized controlled trial</article-title>. <source>JMIR mHealth and uHealth</source>, <volume>8</volume>(<issue>3</issue>), <fpage>e16251</fpage>.<pub-id pub-id-type="pmid">32181747</pub-id></mixed-citation></ref><ref id="R10"><mixed-citation publication-type="journal"><name><surname>Elkington</surname><given-names>KS</given-names></name>, <name><surname>Bauermeister</surname><given-names>JA</given-names></name>, &#x00026; <name><surname>Zimmerman</surname><given-names>MA</given-names></name> (<year>2011</year>). <article-title>Do parents and peers matter? A prospective socio-ecological examination of substance use and sexual risk among African American youth</article-title>. <source>Journal of Adolescence</source>, <volume>34</volume>(<issue>5</issue>), <fpage>1035</fpage>&#x02013;<lpage>1047</lpage>.<pub-id pub-id-type="pmid">21159374</pub-id></mixed-citation></ref><ref id="R11"><mixed-citation publication-type="journal"><name><surname>Ethier</surname><given-names>KA</given-names></name>, <name><surname>Dittus</surname><given-names>PJ</given-names></name>, <name><surname>DeRosa</surname><given-names>CJ</given-names></name>, <name><surname>Chung</surname><given-names>EQ</given-names></name>, <name><surname>Martinez</surname><given-names>E</given-names></name>, &#x00026; <name><surname>Kerndt</surname><given-names>PR</given-names></name> (<year>2011</year>). <article-title>School-based health center access, reproductive health care, and contraceptive use among sexually experienced high school students</article-title>. <source>Journal of Adolescent Health</source>, <volume>48</volume>(<issue>6</issue>), <fpage>562</fpage>&#x02013;<lpage>565</lpage>.</mixed-citation></ref><ref id="R12"><mixed-citation publication-type="journal"><name><surname>Felitti</surname><given-names>VJ</given-names></name>, <name><surname>Anda</surname><given-names>RF</given-names></name>, <name><surname>Nordenberg</surname><given-names>D</given-names></name>, <name><surname>Williamson</surname><given-names>DF</given-names></name>, <name><surname>Spitz</surname><given-names>AM</given-names></name>, <name><surname>Edwards</surname><given-names>V</given-names></name>, &#x00026; <name><surname>Marks</surname><given-names>JS</given-names></name> (<year>1998</year>). <article-title>Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study</article-title>. <source>American Journal of Preventive Medicine</source>, <volume>14</volume>(<issue>4</issue>), <fpage>245</fpage>&#x02013;<lpage>258</lpage>.<pub-id pub-id-type="pmid">9635069</pub-id></mixed-citation></ref><ref id="R13"><mixed-citation publication-type="journal"><name><surname>Fletcher</surname><given-names>A</given-names></name>, <name><surname>Bonell</surname><given-names>C</given-names></name>, &#x00026; <name><surname>Hargreaves</surname><given-names>J</given-names></name> (<year>2008</year>). <article-title>School effects on young people&#x02019;s drug use: A systematic review of intervention and observational studies</article-title>. <source>Journal of Adolescent Health</source>, <volume>42</volume>(<issue>3</issue>), <fpage>209</fpage>&#x02013;<lpage>220</lpage>.</mixed-citation></ref><ref id="R14"><mixed-citation publication-type="webpage"><collab>Guttmacher Institute</collab>. (<year>2021</year>). <source>Minors&#x02019; access to contraceptive services</source>. <comment>Retrieved from <ext-link xlink:href="https://www.guttmacher.org/state-policy/explore/minors-access-contraceptive-services" ext-link-type="uri">https://www.guttmacher.org/state-policy/explore/minors-access-contraceptive-services</ext-link></comment></mixed-citation></ref><ref id="R15"><mixed-citation publication-type="journal"><name><surname>Holt</surname><given-names>MK</given-names></name>, <name><surname>Matjasko</surname><given-names>JL</given-names></name>, <name><surname>Espelage</surname><given-names>D</given-names></name>, <name><surname>Reid</surname><given-names>G</given-names></name>, &#x00026; <name><surname>Koenig</surname><given-names>B</given-names></name> (<year>2013</year>). <article-title>Sexual risk taking and bullying among adolescents</article-title>. <source>Pediatrics</source>, <volume>132</volume>(<issue>6</issue>), <fpage>e1481</fpage>&#x02013;<lpage>e1487</lpage>.<pub-id pub-id-type="pmid">24218467</pub-id></mixed-citation></ref><ref id="R16"><mixed-citation publication-type="journal"><name><surname>Li</surname><given-names>J</given-names></name>, <name><surname>Timpe</surname><given-names>Z</given-names></name>, <name><surname>Suarez</surname><given-names>N</given-names></name>, <name><surname>Phillips</surname><given-names>E</given-names></name>, <name><surname>Kaczkowski</surname><given-names>W</given-names></name>, <name><surname>Cooper</surname><given-names>A</given-names></name>, <name><surname>Dittus</surname><given-names>PJ</given-names></name>, <name><surname>Robin</surname><given-names>L</given-names></name>, <name><surname>Barrios</surname><given-names>LC</given-names></name>, &#x00026; <name><surname>Ethier</surname><given-names>KA</given-names></name>. (<year>2022</year>). <article-title>Dosage in implementation of an effective school-based health program impacts youth health risk behaviors and experiences</article-title>. <source>Journal of Adolescent Health</source>, <comment>S1054-139X(22)00417-7</comment>. <comment>Advance online publication</comment>. <pub-id pub-id-type="doi">10.1016/j.jadohealth.2022.04.009</pub-id>.</mixed-citation></ref><ref id="R17"><mixed-citation publication-type="webpage"><name><surname>Lindberg</surname><given-names>LD</given-names></name>, <name><surname>Pleasure</surname><given-names>ZH</given-names></name>, &#x00026; <name><surname>Douglas-Hall</surname><given-names>A</given-names></name> (<year>2020</year>). <source>Assessing state-level variations in high school students&#x02019; sexual and contraceptive behavior: The 2019 Youth Risk Behavior Surveys</source>. <comment>Retrieved from <ext-link xlink:href="https://www.guttmacher.org/report/youth-risk-behavior-surveys-2019#" ext-link-type="uri">https://www.guttmacher.org/report/youth-risk-behavior-surveys-2019#</ext-link></comment></mixed-citation></ref><ref id="R18"><mixed-citation publication-type="book"><name><surname>Luke</surname><given-names>DA</given-names></name> (<year>2004</year>). <source>Multilevel modeling</source>. <publisher-name>Sage</publisher-name>.</mixed-citation></ref><ref id="R19"><mixed-citation publication-type="journal"><name><surname>Marschall-L&#x000e9;vesque</surname><given-names>S</given-names></name>, <name><surname>Castellanos-Ryan</surname><given-names>N</given-names></name>, <name><surname>Vitaro</surname><given-names>F</given-names></name>, &#x00026; <name><surname>S&#x000e9;guin</surname><given-names>JR</given-names></name>. (<year>2014</year>). <article-title>Moderators of the association between peer and target adolescent substance use</article-title>. <source>Addictive Behaviors</source>, <volume>39</volume>(<issue>1</issue>), <fpage>48</fpage>&#x02013;<lpage>70</lpage>. <pub-id pub-id-type="doi">10.1016/j.addbeh.2013.09.025</pub-id><pub-id pub-id-type="pmid">24183303</pub-id></mixed-citation></ref><ref id="R20"><mixed-citation publication-type="journal"><name><surname>Mayberry</surname><given-names>ML</given-names></name>, <name><surname>Espelage</surname><given-names>DL</given-names></name>, &#x00026; <name><surname>Koenig</surname><given-names>B</given-names></name> (<year>2009</year>). <article-title>Multilevel modeling of direct effects and interactions of peers, parents, school, and community influences on adolescent substance use</article-title>. <source>Journal of Youth and Adolescence</source>, <volume>38</volume>(<issue>8</issue>), <fpage>1038</fpage>&#x02013;<lpage>1049</lpage>.<pub-id pub-id-type="pmid">19636769</pub-id></mixed-citation></ref><ref id="R21"><mixed-citation publication-type="journal"><name><surname>Merlo</surname><given-names>J</given-names></name>, <name><surname>Chaix</surname><given-names>B</given-names></name>, <name><surname>Yang</surname><given-names>M</given-names></name>, <name><surname>Lynch</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Rastam</surname><given-names>L</given-names></name> (<year>2005a</year>). <article-title>A brief conceptual tutorial of multilevel analysis in social epidemiology: Linking the statistical concept of clustering to the idea of contextual phenomenon</article-title>. <source>Journal of Epidemiology and Community Health</source>, <volume>59</volume>(<issue>6</issue>), <fpage>443</fpage>&#x02013;<lpage>449</lpage>. <pub-id pub-id-type="doi">10.1136/jech.2004.023473</pub-id><pub-id pub-id-type="pmid">15911637</pub-id></mixed-citation></ref><ref id="R22"><mixed-citation publication-type="journal"><name><surname>Merlo</surname><given-names>J</given-names></name>, <name><surname>Chaix</surname><given-names>B</given-names></name>, <name><surname>Yang</surname><given-names>M</given-names></name>, <name><surname>Lynch</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Rastam</surname><given-names>L</given-names></name> (<year>2005b</year>). <article-title>A brief conceptual tutorial on multilevel analysis in social epidemiology: Interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health</article-title>. <source>Journal of Epidemiology and Community Health</source>, <volume>59</volume>(<issue>12</issue>), <fpage>1022</fpage>&#x02013;<lpage>1028</lpage>. <pub-id pub-id-type="doi">10.1136/jech.2004.028035</pub-id><pub-id pub-id-type="pmid">16286487</pub-id></mixed-citation></ref><ref id="R23"><mixed-citation publication-type="journal"><name><surname>Merlo</surname><given-names>J</given-names></name>, <name><surname>Yang</surname><given-names>M</given-names></name>, <name><surname>Chaix</surname><given-names>B</given-names></name>, <name><surname>Lynch</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Rastam</surname><given-names>L</given-names></name> (<year>2005</year>). <article-title>A brief conceptual tutorial on multilevel analysis in social epidemiology: Investigating contextual phenomena in different groups of people</article-title>. <source>Journal of Epidemiology and Community Health</source>, <volume>59</volume>(<issue>9</issue>), <fpage>729</fpage>&#x02013;<lpage>736</lpage>. <pub-id pub-id-type="doi">10.1136/jech.2004.023929</pub-id><pub-id pub-id-type="pmid">16100308</pub-id></mixed-citation></ref><ref id="R24"><mixed-citation publication-type="journal"><name><surname>Norman</surname><given-names>RE</given-names></name>, <name><surname>Byambaa</surname><given-names>M</given-names></name>, <name><surname>De</surname><given-names>R</given-names></name>, <name><surname>Butchart</surname><given-names>A</given-names></name>, <name><surname>Scott</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Vos</surname><given-names>T</given-names></name> (<year>2012</year>). <article-title>The long-term health consequences of child physical abuse, emotional abuse, and neglect: A systematic review and meta-analysis</article-title>. <source>PLoS Medicine</source>, <volume>9</volume>(<issue>11</issue>), <fpage>e1001349</fpage>.<pub-id pub-id-type="pmid">23209385</pub-id></mixed-citation></ref><ref id="R25"><mixed-citation publication-type="journal"><name><surname>Perrino</surname><given-names>T</given-names></name>, <name><surname>Gonzalez-Soldevilla</surname><given-names>A</given-names></name>, <name><surname>Pantin</surname><given-names>H</given-names></name>, &#x00026; <name><surname>Szapocznik</surname><given-names>J</given-names></name> (<year>2000</year>). <article-title>The role of families in adolescent HIV prevention: A review</article-title>. <source>Clinical Child and Family Psychology Review</source>, <volume>3</volume>(<issue>2</issue>), <fpage>81</fpage>&#x02013;<lpage>96</lpage>.<pub-id pub-id-type="pmid">11227063</pub-id></mixed-citation></ref><ref id="R26"><mixed-citation publication-type="journal"><name><surname>Poteat</surname><given-names>VP</given-names></name>, <name><surname>Sinclair</surname><given-names>KO</given-names></name>, <name><surname>DiGiovanni</surname><given-names>CD</given-names></name>, <name><surname>Koenig</surname><given-names>BW</given-names></name>, &#x00026; <name><surname>Russell</surname><given-names>ST</given-names></name> (<year>2013</year>). <article-title>Gay&#x02013;straight alliances are associated with student health: A multischool comparison of LGBTQ and heterosexual youth</article-title>. <source>Journal of Research on Adolescence</source>, <volume>23</volume>(<issue>2</issue>), <fpage>319</fpage>&#x02013;<lpage>330</lpage>.</mixed-citation></ref><ref id="R27"><mixed-citation publication-type="journal"><name><surname>Ramirez-Valles</surname><given-names>J</given-names></name>, <name><surname>Zimmerman</surname><given-names>MA</given-names></name>, &#x00026; <name><surname>Newcomb</surname><given-names>MD</given-names></name> (<year>1998</year>). <article-title>Sexual risk behavior among youth: Modeling the influence of prosocial activities and socioeconomic factors</article-title>. <source>Journal of Health and Social Behavior</source>, <volume>39</volume>(<issue>3</issue>), <fpage>237</fpage>&#x02013;<lpage>253</lpage>.<pub-id pub-id-type="pmid">9785696</pub-id></mixed-citation></ref><ref id="R28"><mixed-citation publication-type="journal"><name><surname>Ritchwood</surname><given-names>TD</given-names></name>, <name><surname>Ford</surname><given-names>H</given-names></name>, <name><surname>DeCoster</surname><given-names>J</given-names></name>, <name><surname>Sutton</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Lochman</surname><given-names>JE</given-names></name> (<year>2015</year>). <article-title>Risky sexual behavior and substance use among adolescents: A meta-analysis</article-title>. <source>Children and Youth Services Review</source>, <volume>52</volume>, <fpage>74</fpage>&#x02013;<lpage>88</lpage>.<pub-id pub-id-type="pmid">25825550</pub-id></mixed-citation></ref><ref id="R29"><mixed-citation publication-type="journal"><name><surname>Robin</surname><given-names>L</given-names></name>, <name><surname>Timpe</surname><given-names>Z</given-names></name>, <name><surname>Suarez</surname><given-names>NA</given-names></name>, <name><surname>Li</surname><given-names>J</given-names></name>, <name><surname>Barrios</surname><given-names>L</given-names></name> , &#x00026; <name><surname>Ethier</surname><given-names>KA</given-names></name> (<year>2022</year>). <article-title>Local education agency impact on school environments to impact health risk behaviors and experiences among high school students</article-title>. <source>Journal of Adolescent Health</source>, <volume>30</volume>(<issue>2</issue>), <fpage>313</fpage>&#x02013;<lpage>321</lpage>. <pub-id pub-id-type="doi">10.1016/j.jadohealth.2021.08.004</pub-id></mixed-citation></ref><ref id="R30"><mixed-citation publication-type="journal"><name><surname>Shackleton</surname><given-names>N</given-names></name>, <name><surname>Jamal</surname><given-names>F</given-names></name>, <name><surname>Viner</surname><given-names>RM</given-names></name>, <name><surname>Dickson</surname><given-names>K</given-names></name>, <name><surname>Patton</surname><given-names>G</given-names></name>, &#x00026; <name><surname>Bonell</surname><given-names>C</given-names></name> (<year>2016</year>). <article-title>School-based interventions going beyond health education to promote adolescent health: Systematic review of reviews</article-title>. <source>Journal of Adolescent Health</source>, <volume>58</volume>(<issue>4</issue>), <fpage>382</fpage>&#x02013;<lpage>396</lpage>.</mixed-citation></ref><ref id="R31"><mixed-citation publication-type="journal"><name><surname>Spear</surname><given-names>LP</given-names></name> (<year>2000</year>). <article-title>The adolescent brain and age-related behavioral manifestations</article-title>. <source>Neuroscience &#x00026; Biobehavioral Reviews</source>, <volume>24</volume>(<issue>4</issue>), <fpage>417</fpage>&#x02013;<lpage>463</lpage>.<pub-id pub-id-type="pmid">10817843</pub-id></mixed-citation></ref><ref id="R32"><mixed-citation publication-type="journal"><name><surname>Stokols</surname><given-names>D</given-names></name>. (<year>1996</year>). <article-title>Translating social ecological theory into guidelines for community health promotion</article-title>. <source>American Journal of Health Promotion</source>, <volume>10</volume>(<issue>4</issue>), <fpage>282</fpage>&#x02013;<lpage>298</lpage>.<pub-id pub-id-type="pmid">10159709</pub-id></mixed-citation></ref><ref id="R33"><mixed-citation publication-type="journal"><name><surname>Teitelman</surname><given-names>AM</given-names></name>, <name><surname>Ratcliffe</surname><given-names>SJ</given-names></name>, <name><surname>Morales-Aleman</surname><given-names>MM</given-names></name>, &#x00026; <name><surname>Sullivan</surname><given-names>CM</given-names></name> (<year>2008</year>). <article-title>Sexual relationship power, intimate partner violence, and condom use among minority urban girls</article-title>. <source>Journal of Interpersonal Violence</source>, <volume>23</volume>(<issue>12</issue>), <fpage>1694</fpage>&#x02013;<lpage>1712</lpage>.<pub-id pub-id-type="pmid">18349344</pub-id></mixed-citation></ref><ref id="R34"><mixed-citation publication-type="journal"><name><surname>Trent</surname><given-names>M</given-names></name>, <name><surname>Dooley</surname><given-names>DG</given-names></name>, &#x00026; <name><surname>Doug&#x000e9;</surname><given-names>J</given-names></name> (<year>2019</year>). <article-title>The impact of racism on child and adolescent health</article-title>. <source>Pediatrics</source>, <volume>144</volume>(<issue>2</issue>), <fpage>e20191765</fpage>. <pub-id pub-id-type="doi">10.1542/peds.2019-1765</pub-id><pub-id pub-id-type="pmid">31358665</pub-id></mixed-citation></ref><ref id="R35"><mixed-citation publication-type="journal"><name><surname>Underwood</surname><given-names>JM</given-names></name>, <name><surname>Brener</surname><given-names>N</given-names></name>, <name><surname>Thornton</surname><given-names>J</given-names></name>, <name><surname>Harris</surname><given-names>WA</given-names></name>, <name><surname>Bryan</surname><given-names>LN</given-names></name>, <name><surname>Shanklin</surname><given-names>SL</given-names></name>, <name><surname>Deputy</surname><given-names>N</given-names></name>, <name><surname>Roberts</surname><given-names>AM</given-names></name>, <name><surname>Queen</surname><given-names>B</given-names></name>, <name><surname>Chyen</surname><given-names>D</given-names></name>, <name><surname>Whittle</surname><given-names>L</given-names></name>, <name><surname>Lim</surname><given-names>C</given-names></name>, <name><surname>Yamakawa</surname><given-names>Y</given-names></name>, <name><surname>Leon-Nguyen</surname><given-names>M</given-names></name>, <name><surname>Kilmer</surname><given-names>G</given-names></name>, <name><surname>Smith-Grant</surname><given-names>J</given-names></name>, <name><surname>Demissie</surname><given-names>Z</given-names></name>, <name><surname>Everett Jones</surname><given-names>S</given-names></name>, <name><surname>Clayton</surname><given-names>H</given-names></name>, &#x00026; <name><surname>Dittus</surname><given-names>P</given-names></name> (<year>2020</year>). <article-title>Overview and methods for the Youth Risk Behavior Surveillance System&#x02014;United States, 2019</article-title>. <source>MMWR Supplements</source>, <volume>69</volume>(<issue>1</issue>), <fpage>1</fpage>&#x02013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.15585/mmwr.su6901a1</pub-id><pub-id pub-id-type="pmid">32817611</pub-id></mixed-citation></ref><ref id="R36"><mixed-citation publication-type="journal"><name><surname>Westbrook</surname><given-names>M</given-names></name>, <name><surname>Martinez</surname><given-names>L</given-names></name>, <name><surname>Mechergui</surname><given-names>S</given-names></name>, <name><surname>Scandlyn</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Yeatman</surname><given-names>S</given-names></name> (<year>2022</year>). <article-title>Contraceptive access through school-based health centers: Perceptions of rural and suburban young people</article-title>. <source>Health Promotion Practice</source>, <volume>23</volume>(<issue>3</issue>), <fpage>425</fpage>&#x02013;<lpage>431</lpage>. <pub-id pub-id-type="doi">10.1177/15248399211026612</pub-id><pub-id pub-id-type="pmid">34338038</pub-id></mixed-citation></ref><ref id="R37"><mixed-citation publication-type="journal"><name><surname>Whitfield</surname><given-names>CL</given-names></name>, <name><surname>Anda</surname><given-names>RF</given-names></name>, <name><surname>Dube</surname><given-names>SR</given-names></name>, &#x00026; <name><surname>Felitti</surname><given-names>VJ</given-names></name> (<year>2003</year>). <article-title>Violent childhood experiences and the risk of intimate partner violence in adults: Assessment in a large health maintenance organization</article-title>. <source>Journal of Interpersonal Violence</source>, <volume>18</volume>(<issue>2</issue>), <fpage>166</fpage>&#x02013;<lpage>185</lpage>.</mixed-citation></ref><ref id="R38"><mixed-citation publication-type="journal"><name><surname>Wight</surname><given-names>RG</given-names></name>, <name><surname>Botticello</surname><given-names>AL</given-names></name>, &#x00026; <name><surname>Aneshensel</surname><given-names>CS</given-names></name> (<year>2006</year>). <article-title>Socioeconomic context, social support, and adolescent mental health: A multilevel investigation</article-title>. <source>Journal of Youth and Adolescence</source>, <volume>35</volume>(<issue>1</issue>), <fpage>109</fpage>&#x02013;<lpage>120</lpage>.</mixed-citation></ref><ref id="R39"><mixed-citation publication-type="journal"><name><surname>Yildiz</surname><given-names>M</given-names></name>, <name><surname>Demirhan</surname><given-names>E</given-names></name>, &#x00026; <name><surname>Gurbuz</surname><given-names>S</given-names></name> (<year>2019</year>). <article-title>Contextual socioeconomic disadvantage and adolescent suicide attempts: A multilevel investigation</article-title>. <source>Journal of Youth and Adolescence</source>, <volume>48</volume>(<issue>4</issue>), <fpage>802</fpage>&#x02013;<lpage>814</lpage>.<pub-id pub-id-type="pmid">30499039</pub-id></mixed-citation></ref></ref-list></back><floats-group><table-wrap position="float" id="T1"><label>TABLE 1.</label><caption><p id="P29">Outcome Variable, Youth Risk Behavior Survey (YRBS) Item, and Analytic Coding for Sexual Health Outcomes, 2015 and 2017</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Outcome Variable</th><th align="left" valign="middle" rowspan="1" colspan="1">YRBS Item</th><th align="center" valign="middle" rowspan="1" colspan="1">Analytic Coding</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Ever had sex</td><td align="left" valign="top" rowspan="1" colspan="1">Have you ever had sexual intercourse?</td><td align="left" valign="top" rowspan="1" colspan="1">0 = No; 1 = Yes</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Had 4 or more lifetime sexual partners</td><td align="left" valign="top" rowspan="1" colspan="1">During your life, with how many people have you had sexual intercourse?</td><td align="left" valign="top" rowspan="1" colspan="1">0 &#x02264; 3 people<break/>1 &#x02265; 4 people</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Currently sexually active</td><td align="left" valign="top" rowspan="1" colspan="1">During the past 3 months, with how many people did you have sexual intercourse?</td><td align="left" valign="top" rowspan="1" colspan="1">0 = None<break/>1 &#x02265; 1 people</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Effective hormonal birth control use<sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">The last time you had sexual intercourse, what one method did you or your partner use to prevent pregnancy? (Select only one response.) (Responses include birth control pills; an IUD; implant; shot; patch; or birth control ring)</td><td align="left" valign="top" rowspan="1" colspan="1">0 = None of those responses<break/>1 = One of those responses</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Used a condom during last sexual intercourse<sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">The last time you had sexual intercourse, did you or your partner use a condom?</td><td align="left" valign="top" rowspan="1" colspan="1">0 = No; 1 = Yes</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Condom and effective hormonal birth control use<sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">&#x0201c;Yes&#x0201d; responses to one or more &#x0201c;used effective hormonal birth control&#x0201d; responses and &#x0201c;used a condom during last sex&#x0201d;</td><td align="left" valign="top" rowspan="1" colspan="1">0 = Yes to one or none<break/>1 = Yes to both</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Ever tested for HIV</td><td align="left" valign="top" rowspan="1" colspan="1">Have you ever been tested for HIV, the virus that causes AIDS? (Do not count tests done if you donated blood.)</td><td align="left" valign="top" rowspan="1" colspan="1">0 = No; 1 = Yes</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p id="P30">This question was only asked if the participants self-reported being currently sexually active.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2"><label>TABLE 2.</label><caption><p id="P31">Individual-Level Characteristics Among All Students (<italic toggle="yes">N</italic> = 101,728), Youth Risk Behavior Survey (YRBS), 2015 and 2017</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="center" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Variable</th><th align="center" valign="middle" rowspan="1" colspan="1"><italic toggle="yes">n</italic> (%)</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Sex (<italic toggle="yes">n</italic> = 100,485)</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;Male</td><td align="center" valign="middle" rowspan="1" colspan="1">49,608 (49.4)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;Female</td><td align="center" valign="middle" rowspan="1" colspan="1">50,850 (50.6)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Race/ethnicity (<italic toggle="yes">n</italic> = 95,911)</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;Non-Hispanic White</td><td align="center" valign="middle" rowspan="1" colspan="1">11,396 (11.9)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;Non-Hispanic Black</td><td align="center" valign="middle" rowspan="1" colspan="1">32,000 (33.4)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;Hispanic/Latino</td><td align="center" valign="middle" rowspan="1" colspan="1">37,489 (39.1)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;Other<sup><xref rid="TFN2" ref-type="table-fn">a</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">15,026 (15.7)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Grade (<italic toggle="yes">n</italic> = 101,728)</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;9th</td><td align="center" valign="middle" rowspan="1" colspan="1">26,733 (26.3)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;10th</td><td align="center" valign="middle" rowspan="1" colspan="1">26,774 (26.3)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;11th</td><td align="center" valign="middle" rowspan="1" colspan="1">23,605 (23.2)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;&#x000a0;12th</td><td align="center" valign="middle" rowspan="1" colspan="1">22,684 (22.3)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Ever had sex</bold><sup><xref rid="TFN3" ref-type="table-fn">b</xref></sup> (<bold><italic toggle="yes">n</italic> = 78,390</bold>)</td><td align="center" valign="middle" rowspan="1" colspan="1">28,623 (36.5)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Had four or more lifetime sexual partners</bold><sup><xref rid="TFN3" ref-type="table-fn">b</xref></sup>
<bold>(<italic toggle="yes">n</italic> = 73,754)</bold></td><td align="center" valign="middle" rowspan="1" colspan="1">7,695 (10.4)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Were currently sexually active</bold><sup><xref rid="TFN3" ref-type="table-fn">b</xref></sup>
<bold>(<italic toggle="yes">n</italic> = 76,091)</bold></td><td align="center" valign="middle" rowspan="1" colspan="1">19,338 (25.4)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Used a condom during last sexual intercoursec (<italic toggle="yes">n</italic> = 18,148)</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">10,539 (58.1)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Used effective hormonal birth control</bold><sup><xref rid="TFN4" ref-type="table-fn">c</xref></sup>
<bold>(<italic toggle="yes">n</italic> = 19,656)</bold></td><td align="center" valign="middle" rowspan="1" colspan="1">3,712 (18.9)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Used a condom and effective hormonal birth control</bold><sup><xref rid="TFN4" ref-type="table-fn">c</xref></sup>
<bold>(<italic toggle="yes">n</italic> = 17,211)</bold></td><td align="center" valign="middle" rowspan="1" colspan="1">1,159 (6.7)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Ever tested for HIV</bold><sup><xref rid="TFN3" ref-type="table-fn">b</xref></sup>
<bold>(<italic toggle="yes">n</italic> = 84,876)</bold></td><td align="center" valign="middle" rowspan="1" colspan="1">17,844 (21.0)</td></tr></tbody></table><table-wrap-foot><fn id="TFN2"><label>a</label><p id="P32">&#x0201c;Other&#x0201d; includes American Indian or Alaska Native, Asian, Native Hawaiian or other Pacific Islander, and multiracial;</p></fn><fn id="TFN3"><label>b</label><p id="P33">The denominator of this variable is all students;</p></fn><fn id="TFN4"><label>c</label><p id="P34">The denominator of this variable is students who self-reported being currently sexually active.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3"><label>TABLE 3.</label><caption><p id="P35">Percentage Variance in the Odds of Outcomes at School and District Levels: By Race/Ethnicity, Youth Risk Behavior Survey (YRBS), 2015 and 2017</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/><col align="center" valign="top" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="11" align="center" valign="middle" rowspan="1">Percentage (%) variance in the outcome apportioned to school and district levels<hr/></th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="6" align="center" valign="middle" rowspan="1">School level<hr/></th><th colspan="5" align="center" valign="middle" rowspan="1">District level<hr/></th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1">Variable</th><th align="center" valign="middle" rowspan="1" colspan="1">Total<sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">All<sup><xref rid="TFN6" ref-type="table-fn">b</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">W<sup><xref rid="TFN7" ref-type="table-fn">c</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">B<sup><xref rid="TFN8" ref-type="table-fn">d</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">H<sup><xref rid="TFN9" ref-type="table-fn">e</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">O<sup><xref rid="TFN10" ref-type="table-fn">f</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">All<sup><xref rid="TFN6" ref-type="table-fn">b</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">W<sup><xref rid="TFN7" ref-type="table-fn">c</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">B<sup><xref rid="TFN8" ref-type="table-fn">d</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">H<sup><xref rid="TFN9" ref-type="table-fn">e</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">O<sup><xref rid="TFN10" ref-type="table-fn">f</xref></sup></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Ever had sex<sup><xref rid="TFN11" ref-type="table-fn">1</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>13.5</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>11.5</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">7.2</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.2</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.1</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>14.2</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.1</td><td align="center" valign="top" rowspan="1" colspan="1">2.9</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.7</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Had 4 or more lifetime sexual partners<sup><xref rid="TFN11" ref-type="table-fn">1</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>15.4</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>12.7</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">9.3</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>11.8</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.6</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>18.4</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.7</td><td align="center" valign="top" rowspan="1" colspan="1">1.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.7</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.9</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Currently sexually active<sup><xref rid="TFN11" ref-type="table-fn">1</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>10.9</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.2</td><td align="center" valign="top" rowspan="1" colspan="1">5.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.6</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.3</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>12.6</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.7</td><td align="center" valign="top" rowspan="1" colspan="1">2.2</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.6</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.6</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Used a condom during last sex<sup><xref rid="TFN12" ref-type="table-fn">2</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.3</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.7</td><td align="center" valign="top" rowspan="1" colspan="1">2.5</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.3</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.6</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.8</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.6</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Used hormonal birth control<sup><xref rid="TFN12" ref-type="table-fn">2</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>13.3</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.2</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.4</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.8</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>10.1</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">5.8</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>10.5</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>11.8</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>10.2</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Used a condom &#x00026; hormonal birth control<sup><xref rid="TFN12" ref-type="table-fn">2</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.7</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.6</td><td align="center" valign="top" rowspan="1" colspan="1">NA</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.1</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.1</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.2</td><td align="center" valign="top" rowspan="1" colspan="1">NA</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;4.0</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.6</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Ever tested for HIV<sup><xref rid="TFN11" ref-type="table-fn">1</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>14.6</bold>
</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.5</td><td align="center" valign="top" rowspan="1" colspan="1">8.7</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.4</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.2</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.6</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.1</td><td align="center" valign="top" rowspan="1" colspan="1">0.9</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.9</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.1</td><td align="center" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;4.9</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><label>a</label><p id="P36">Total variance = school-level variance + district-level variance regardless of race/ethnicity;</p></fn><fn id="TFN6"><label>b</label><p id="P37">All: variance apportioned to this level regardless of race/ethnicity<sup>;</sup></p></fn><fn id="TFN7"><label>c</label><p id="P38">Non-Hispanic White;</p></fn><fn id="TFN8"><label>d</label><p id="P39">Non-Hispanic Black;</p></fn><fn id="TFN9"><label>e</label><p id="P40">Hispanic/Latino;</p></fn><fn id="TFN10"><label>f</label><p id="P41">Other races.</p></fn><fn id="TFN11"><label>1</label><p id="P42">Of all youth;</p></fn><fn id="TFN12"><label>2</label><p id="P43">Of currently sexually active youth.</p></fn><fn id="TFN13"><p id="P44">NA: estimate approaching zero infinitely, thus there is no significant variance.</p></fn><fn id="TFN14"><p id="P45">Bold values indicate variance greater than 10%.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4"><label>TABLE 4.</label><caption><p id="P46">Percentage Variance in the Odds of Outcomes at School and District Levels: By Biological Sex, Youth Risk Behavior Survey (YRBS), 2015 and 2017</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="center" valign="middle" span="1"/><col align="center" valign="middle" span="1"/><col align="center" valign="middle" span="1"/><col align="center" valign="middle" span="1"/><col align="center" valign="middle" span="1"/><col align="center" valign="middle" span="1"/><col align="center" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="7" align="center" valign="middle" rowspan="1">Percentage (%) variance in the outcome apportioned to school and district levels<hr/></th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="4" align="center" valign="middle" rowspan="1">School level<hr/></th><th colspan="3" align="center" valign="middle" rowspan="1">District level<hr/></th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1">Variable</th><th align="center" valign="middle" rowspan="1" colspan="1">Total<sup><xref rid="TFN15" ref-type="table-fn">a</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">All<sup><xref rid="TFN16" ref-type="table-fn">b</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">Male</th><th align="center" valign="middle" rowspan="1" colspan="1">Female</th><th align="center" valign="middle" rowspan="1" colspan="1">All<sup><xref rid="TFN16" ref-type="table-fn">b</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">Male</th><th align="center" valign="middle" rowspan="1" colspan="1">Female</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Ever had sex<sup><xref rid="TFN17" ref-type="table-fn">1</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>13.5</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>11.5</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>11.2</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>10.6</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.1</td><td align="center" valign="middle" rowspan="1" colspan="1">2.8</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.7</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Had 4 or more lifetime sexual partners<sup><xref rid="TFN17" ref-type="table-fn">1</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>15.4</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>12.7</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>14.5</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.8</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.7</td><td align="center" valign="middle" rowspan="1" colspan="1">3.3</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.9</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Currently sexually active<sup><xref rid="TFN17" ref-type="table-fn">1</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>10.9</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.2</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.7</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.0</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.7</td><td align="center" valign="middle" rowspan="1" colspan="1">1.9</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.5</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Used a condom during last sex<sup><xref rid="TFN18" ref-type="table-fn">2</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.3</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.7</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.6</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.5</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.6</td><td align="center" valign="middle" rowspan="1" colspan="1">0.7</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;0.9</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Used hormonal birth control<sup><xref rid="TFN18" ref-type="table-fn">2</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>13.3</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.2</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.3</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.4</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>10.1</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">7.4</td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>12.4</bold>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Used a condom &#x00026; hormonal birth control<sup><xref rid="TFN18" ref-type="table-fn">2</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.7</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.6</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.1</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.1</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.2</td><td align="center" valign="middle" rowspan="1" colspan="1">0.3</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.7</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Ever tested for HIV<sup><xref rid="TFN17" ref-type="table-fn">1</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">
<bold>14.6</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.5</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.5</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.9</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.1</td><td align="center" valign="middle" rowspan="1" colspan="1">6.1</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.5</td></tr></tbody></table><table-wrap-foot><fn id="TFN15"><label>a</label><p id="P47">Total variance = school-level variance + district-level variance regardless of biological sex;</p></fn><fn id="TFN16"><label>b</label><p id="P48">All: variance apportioned to this level regardless of biological sex.</p></fn><fn id="TFN17"><label>1</label><p id="P49">Of all youth;</p></fn><fn id="TFN18"><label>2</label><p id="P50">Of currently sexually active youth.</p></fn><fn id="TFN19"><p id="P51">Bold values indicate variance greater than 10%.</p></fn></table-wrap-foot></table-wrap></floats-group></article>