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. Author manuscript; available in PMC: 2022 Apr 12.
Published in final edited form as: LGBT Health. 2021 Dec 17;9(1):43–53. doi: 10.1089/lgbt.2021.0133

Examining the Relationship Between LGBTQ-Supportive School Health Policies and Practices and Psychosocial Health Outcomes of Lesbian, Gay, Bisexual, and Heterosexual Students

Wojciech Kaczkowski 1, Jingjing Li 1, Adina C Cooper 1, Leah Robin 1
PMCID: PMC9003132  NIHMSID: NIHMS1791729  PMID: 34935516

Abstract

Purpose:

We examined the association of lesbian, gay, bisexual, transgender, and questioning (LGBTQ)-supportive school policies and practices with psychosocial health outcomes among lesbian, gay, bisexual (LGB), and heterosexual students.

Methods:

The 2014 and 2016 School Health Profiles data from principals and health educators from 117 schools assessed LGBTQ-supportive school policies and practices. We computed the sum of school policies and practices, indicating the number available for each student. The 2015 and 2017 Youth Risk Behavior Survey data from 75,638 students from the same schools measured psychosocial health outcomes. We conducted multilevel cross-sectional logistic regressions of the associations of school-level policies and practices with student-level health outcomes by sexual identity while controlling for sex, grade, race/ethnicity, and school priority.

Results:

Several LGBTQ-supportive school policies and practices were significantly associated with lower odds of feeling threatened at school, suicide-related behaviors, and illicit drug use among LGB students. For heterosexual students, having a gay-straight alliance or similar club was linked to multiple health outcomes, whereas other policies and practices were significantly associated with lower odds of safety concerns at school, forced sexual intercourse, feeling sad or hopeless, and illicit drug use. Increasing the sum of policies and practices was linked to lower odds of suicide-related behaviors among LGB students and safety concerns and illicit drug use among heterosexual students.

Conclusion:

These findings suggest that LGBTQ-supportive school policies and practices are significantly associated with improved psychosocial health outcomes among both LGB and heterosexual students, although more research is needed to better understand these relationships.

Keywords: high-risk substance use, LGB youth, LGBTQ-supportive school policies, mental health and suicide, student health disparities, violence victimization

Introduction

Youths identifying as lesbian, gay, or bisexual (LGB) are at higher risk for negative psychosocial health outcomes, such as violence victimization, high-risk substance use, adverse mental health, and suicide-related behaviors, than their heterosexual peers.1-3 Such health disparities are owing to numerous factors, some related to the youths’ sexual minority status.

According to the minority stress model, the prejudice and discrimination that LGB youth often experience results in stress that contributes to the heightened risk for adverse psychosocial health outcomes.4,5 School environment may contribute to this process, as LGB students report more safety concerns, peer victimization and harassment at school than their heterosexual peers.2,6 Consequently, schools should cultivate protective factors that reduce sexual minority identity-related stressors and bolster the psychosocial health of LGB students.

Implementing school policies and practices supportive of lesbian, gay, bisexual, transgender, and questioning (LGBTQ) students may substantially protect the psychosocial health of sexual and gender minority, including LGB, students by connecting them to supportive networks, providing coping skills, and promoting safe and supportive school environments.7-9 For example, student-led organizations known as gay-straight alliances (GSAs; also referred to as gender-sexuality or queer-straight alliances) are associated with lower rates of peer victimization, substance use, and suicide-related behaviors for sexual and gender minority groups, including LGB students.10-12

In addition, LGB and transgender youth in schools with safe spaces have better health outcomes,13 whereas those in schools prohibiting sexual and gender identity-based harassment report improved feelings of safety and reduced peer victimization, compared with LGB and transgender students in schools without such policies.14 LGB students in schools offering staff professional development on LGBTQ-related issues also report lower rates of substance use and sexual and safety risk behaviors than LGB students in other schools.15

Facilitating access to LGBTQ-competent out-of-school social, psychological, and health services, and offering LGBTQ-inclusive health curricula are also associated with improved health and well-being outcomes among sexual and gender minority, including LGB, youth.15,16 Finally, LGB and other sexual and gender minority students in schools with more supportive environments have better mental health and suicide-related outcomes than those in less supportive schools, indicating possible incremental effects of the above-mentioned strategies.8

The health benefits of LGBTQ-supportive school policies and practices are not limited to sexual and gender minority students. For instance, heterosexual students with greater engagement in GSAs also report increased self-efficacy and perceived peer validation, which reduces their risk for adverse psychosocial health outcomes.7,17 However, research on the psychosocial health benefits of LGBTQ-supportive school policies and practices for heterosexual students remains scarce.

In addition, the existing literature mostly focuses on analyzing such policies and practices individually. Therefore, the potential psychosocial health benefits of their combined implementation for both LGB and heterosexual students remain inadequately understood. Finally, current literature on this topic derives mostly from outside the United States,9,18-20 and the generalizability of its findings to students in the United States should be explored.

This study examines the associations between LGBTQ-supportive school policies and practices and psychosocial health outcomes, including violence victimization, mental health, suicide-related behaviors, and high-risk substance use, among LGB and heterosexual students attending secondary schools from 16 local education agencies (LEAs) across the United States. Using multilevel modeling techniques, we explored (1) the degree of association between individual LGBTQ-supportive school policies and practices and psychosocial health outcomes; (2) the association between the sum of multiple LGBTQ-supportive school policies and practices and psychosocial health outcomes; and (3) how these associations differ for LGB and heterosexual students.

Methods

This study integrates two data sources: School Health Profiles (Profiles) and the Youth Risk Behavior Survey (YRBS). As part of the Centers for Disease Control and Prevention (CDC)’s Division of Adolescent and School Health (DASH) nationwide school health program implemented from 2013 to 2018, funded LEAs collected Profiles and YRBS data biennially: Profiles in 2014 and 2016 and the YRBS in 2015 and 2017.21

For Profiles, principals and lead health education teachers from schools representative of their jurisdictions completed self-administered questionnaires to assess nationwide secondary school health policies and practices.22,23 The YRBS was administered to a representative sample of secondary school students to monitor the prevalence of health risk behaviors among students and evaluate the impact of health-related policies.24,25 Additional information about participant recruitment, data collection, and response rates are available in the YRBS26 and Profiles22,23 overview and methods reports.

For this study, we merged the Profiles data on school-level LGBTQ-supportive policies and practices with the YRBS data on student-level psychosocial health outcomes, matching the data by school and district and using school ID as a mutual identifier. When using single-cycle data, several outcomes indicated nonconvergence, likely owing to the insufficient number of LGB respondents. Therefore, we combined data from multiple collection cycles, linking the 2014 Profiles data with the 2015 YRBS and the 2016 Profiles with the 2017 YRBS to achieve the statistical power needed to detect significant associations between the variables.27

Measures

We followed the YRBS and Profiles terminology for all variables to keep findings aligned with the methodology of data sources.22-25 The following YRBS question measured sexual identity: “Which of the following best describes you?” Response options included “heterosexual (straight),” “gay or lesbian,” “bisexual,” and “not sure.” “Gay or lesbian” and “bisexual” responses were combined into a single category, “LGB students.” This merging allowed for a large enough sample to examine statistically significant differences between heterosexual and LGB students.

We excluded participants who responded “not sure” to this question, given the possibility that this response option was selected by students who did not know what the question or other response options meant.28 The surveys used in this study did not include questions on gender identity and, therefore, we were unable to identify transgender students in our sample.

Seven items from the Profiles questionnaire assessed LGBTQ-supportive school policies and practices: (1) having a GSA or similar club; (2) identifying safe spaces; (3) prohibiting harassment based on sexual orientation or gender identity; (4) encouraging staff to attend professional development; (5) facilitating access to out-of-school health service providers; (6) facilitating access to out-of-school social and psychological service providers; and (7) providing LGBTQ-relevant curricula or supplementary materials. Principals responded to the first six items, whereas health education teachers answered the last item. Table 1 includes all items, their corresponding Profiles questions, and analytic coding.22,23

Table 1.

Lesbian, Gay, Bisexual, Transgender, and Questioning-Supportive School Policies and Practices

Policy Profiles question Analytic coding Respondents
Gay/Straight Alliance Does your school have a student-led club that aims to create a safe, welcoming, and accepting school environment for all youth, regardless of sexual orientation or gender identity? These clubs sometimes are called gay/straight alliances 0 = No; 1 = Yes Principals
Safe Spaces Does your school identify “safe spaces” (e.g., a counselor’s office, designated classroom, or student organization) where LGBTQ youth can receive support from administrators, teachers, or other school staff? 0 = No; 1 = Yes Principals
Prohibit Harassment Does your school prohibit harassment based on a student’s perceived or actual sexual orientation or gender identity? 0 = No; 1 = Yes Principals
Professional Development Does your school encourage staff to attend professional development on safe and supportive school environments for all students, regardless of sexual orientation or gender identity? 0 = No; 1 = Yes Principals
Health Services Does your school facilitate access to providers not on school property who have experience in providing health services, including human immunodeficiency HIV/STD testing and counseling, to LGBTQ youth? 0 = No; 1 = Yes Principals
Social/Psych Services Does your school facilitate access to providers not on school property who have experience in providing social and psychological services to LGBTQ youth? 0 = No; 1 = Yes Principals
LGBTQ-Inclusive Curricula Does your school provide curricula or supplementary materials that include HIV, STD, or pregnancy prevention information that is relevant to LGBTQ youth (e.g., curricula or materials that use inclusive language or terminology)? 0 = No; 1 = Yes Lead health educators
Sum of School Policies and Practices Combined number of “yes” responses to LGBTQ-supportive school health policies and practices items Range = 0–7 n/a

Source: 2014 and 2016 School Health Profiles survey.22,23

LGBTQ, Lesbian, gay, bisexual, transgender, and questioning; n/a, not applicable; Psych, psychological; STD, sexually transmitted diseases.

We also computed a “Sum of school policies and practices,” indicating the number of LGBTQ-supportive policies and practices available at school for each student. Research has not yet examined the relative efficacy of these policies and practices, and CDC program guidance has not assigned them relative weights. Therefore, we examined them as equally weighted, in line with the program guidance.21 Scores ranged from 0 to 7, with higher scores indicating the availability of more LGBTQ-supportive school policies and practices for each student.

In total, 15 YRBS items measured student psychosocial health outcomes, including violence victimization (seven items), mental health (one item), suicide-related behaviors (four items), and high-risk substance use (three items). The YRBS defines violence victimization as any aggression perpetrated by another person, including dating violence, sexual violence, and bullying, whereas high-risk substance use refers to any use of select illicit drugs, prescription opioid misuse, or illegal injected drugs.24-26 We calculated illicit drug use as responding “1 or more times” to at least one of the questions on the use of cocaine, inhalants, heroin, methamphetamines, and ecstasy, as defined and measured in the YRBS.

A question on persistent feelings of sadness or hopelessness assessed mental health. Four items asked about suicide-related behaviors, such as seriously considering or attempting suicide.

The questions asked about behaviors in the past 12 months, except for forced sexual intercourse and high-risk substance use, which assessed lifetime prevalence. We chose to include these items in our analysis because of the low prevalence rates of the examined behaviors, lack of other YRBS items assessing such behaviors while in school, and the fact that our study focused on variable associations rather than causal effects. Table 2 provides more details about the items, corresponding YRBS questions, and their analytic coding.24,25

Table 2.

Student Health Outcomes—2015 and 2017 Youth Risk Behavior Survey

Study variable Youth risk behavior survey question Analytic coding
Violence victimization
 Felt unsafe at, to, or from school During the past 12 months, on how many days did you not go to school because you felt you would be unsafe at school or on your way to or from school? 0 = 0 days; 1 = 1 or more days
 Threatened or injured with a weapon at school During the past 12 months, how many times has someone threatened or injured you with a weapon such as a gun, knife, or club on school property? 0 = 0 times; 1 = 1 or more times
 Forced sex Have you ever been physically forced to have sexual intercourse when you did not want to? 0 = No; 1 = Yes
 Sexual dating violence During the past 12 months, how many times did someone you were dating or going out with force you to do sexual things that you did not want to do? (Count such things as kissing, touching, or being physically forced to have sexual intercourse) 0 = 0 or I did not date or go out with anyone during the past 12 months; 1 = 1 or more times
 Physical dating violence During the past 12 months, how many times did someone you were dating or going out with physically hurt you on purpose? (Count such things as being hit, slammed into something, or injured with an object or weapon) 0 = 0 or I did not date or go out with anyone during the past 12 months; 1 = 1 or more times
 Bullying at school During the past 12 months, have you ever been bullied on school property? 0 = No; 1 = Yes
 Electronic bullying During the past 12 months, have you ever been electronically bullied? (Count being bullied through texting, Instagram, Facebook, or other social media) 0 = No; 1 = Yes
Mental health
 Persistent feelings of sadness or hopelessness During the past 12 months, did you ever feel so sad or hopeless almost every day for 2 weeks or more in a row that you stopped doing some usual activities? 0 = No; 1 = Yes
Suicide-related behaviors
 Seriously considered suicide During the past 12 months, did you ever seriously consider attempting suicide? 0 = No; 1 = Yes
 Made a suicide plan During the past 12 months, did you make a plan about how you would attempt suicide? 0 = No; 1 = Yes
 Attempted suicide During the past 12 months, how many times did you actually attempt suicide? 0 = 0 times; 1 = 1 or more times
 Suicide attempt requiring medical treatment If you attempted suicide during the past 12 months, did any attempt result in an injury, poisoning, or overdose that had to be treated by a doctor or nurse? 0 = No or I did not attempt suicide during the past 12 months; 1 = Yes
High-risk substance use
 Lifetime illicit drug use During your life, how many times have you used any of the following:
  • Any form of cocaine, including powder, crack, or freebase;

  • Sniffed glue, breathed the contents of aerosol spray cans, or inhaled any paints or sprays to get high;

  • Heroin (also called smack, junk, or China White);

  • Methamphetamines (also called speed, crystal, crank, or ice); ecstasy?

0 = 0 times to all of the following; 1 = 1 or more time to any of the following
 Lifetime prescription pain medicine misuse During your life, how many times have you taken prescription pain medicine without a doctor’s prescription or differently than how a doctor told you to use it? (Count drugs such as codeine, Vicodin, OxyContin, Hydrocodone, and Percocet) 0 = 0 times; 1 = 1 or more times
 Lifetime injection drug use During your life, how many times have you used a needle to inject any illegal drug into your body? 0 = 0 times; 1 = 1 or more times

Source: 2015 and 2017 Youth Risk Behavior Survey.24,25

YRBS provided data for the following covariates: (1) sex, dichotomized as “female” or “male” (reference group); (2) grade, including 9th (reference group), 10th, 11th, and 12th; (3) race/ethnicity, including non-Hispanic White (reference group), non-Hispanic Black or African American, Hispanic or Latino of any race, and non-Hispanic other; and (4) school priority, dichotomized as students in “non-priority” schools (reference group) and students in “priority” schools.

The last covariate referred to the potential confounding effect of the DASH school health program, which offered the option to implement LGBTQ-supportive school policies and practices. The program focused on “priority” schools, or schools with higher rates of adverse health-related outcomes among students. “Non-priority” schools referred to schools in the same districts that were not the focus of program efforts but also collected Profiles and YRBS data and had the option to implement the same or similar policies and practices. The study compared students in schools implementing LGBTQ-supportive policies and practices with those in schools that have not done so, regardless of whether the DASH program prioritized these schools or not.

Data analysis

Using SAS version 9.4 (SAS Institute Inc., Cary, NC), we conducted bivariate analyses with chi-square tests to analyze the differences in psychosocial health outcomes between LGB and heterosexual students. We conducted multilevel cross-sectional logistic regression analyses to examine the associations between LGBTQ-supportive school-level policies and practices and student-level psychosocial health outcomes while accounting for the nesting of students within schools and controlling for sex, grade, race/ethnicity, and school priority.29,30

We conducted the analyses independently for LGB and heterosexual students, calculating the adjusted odds ratios (aORs) and confidence intervals (CIs) of psychosocial health outcomes separately for each group. We applied the Holm–Bonferroni correction with an initial significance threshold of α < 0.05 to correct for multiple comparisons.31 We excluded analyses that did not meet the recommended sample size requirements for logistic regressions, or a minimum of 10 cases per outcome for each independent variable in the model.32

Results

The sample included 75,638 students from 117 schools in 16 LEAs. Overall, 8347 (11.0%) students identified as LGB, and 67,291 (89.0%) as heterosexual. Participant demographics, including their sex, race/ethnicity, and class grade, are listed in Table 3. LGB students reported significantly higher rates of all psychosocial health outcomes than their heterosexual peers (Table 4).

Table 3.

Demographics of Student Participants—2015 and 2017 Youth Risk Behavior Survey

Total (N = 75,638)
LGB (N = 8347)
Heterosexual (N = 67,291)
N % N % N %
Sex
 Female 37,921 50.4 6113 74.0 31,808 47.5
 Male 37,353 49.6 2145 26.0 35,208 52.5
Race/ethnicity
 Non-Hispanic White 10,441 13.8 1220 14.6 9221 13.7
 Black or African American 24,246 32.1 2961 35.5 21,285 31.6
 Hispanic or Latino of any race 29,384 38.9 3017 36.1 26,367 39.2
 Other 11,567 15.3 1149 13.8 10,418 15.5
Grade
 9th 19,907 26.5 2134 25.8 17,773 26.6
 10th 19,905 26.5 2193 26.5 17,712 26.5
 11th 17,965 23.9 2066 25.0 15,899 23.8
 12th 17,287 23.0 1873 22.7 15,414 23.1
School
 Priority 37,928 50.1 4307 51.6 33,621 50.0
 Nonpriority 37,710 49.9 4040 48.4 33,670 50.0
Year
 2015 38,109 50.4 3950 47.3 34,159 50.8
 2017 37,529 49.6 4397 52.7 33,132 49.2

Totals for demographic items may not add up to overall total numbers owing to some participants choosing to not respond and omit demographic questions.

LGB, lesbian, gay, and bisexual.

Table 4.

Descriptive and Bivariate Results for Student Health Outcomes

Total
LGB
Heterosexual
N % N % N % χ 2 p
Violence victimization
 Felt unsafe at, to, or from school
  Yes 5781 8.4 1175 14.9 4606 7.6 480.50 <0.0001
  No 62,861 91.6 6731 85.1 56,130 92.4
 Threatened or injured with a weapon at school
  Yes 4677 6.5 936 11.6 3741 5.9 384.68 <0.0001
  No 66,960 93.5 7124 88.4 59,836 94.1
 Forced sex
  Yes 5554 8.6 1311 18.3 4243 7.4 961.17 <0.0001
  No 58,828 91.4 5841 81.7 52,987 92.6
 Sexual dating violence
  Yes 3385 8.3 835 17.2 2550 7.1 567.10 <0.0001
  No 37,194 91.7 4016 82.8 33,178 92.9
 Physical dating violence
  Yes 4052 9.2 1003 18.4 3049 7.9 628.66 <0.0001
  No 40,049 90.8 4460 81.6 35,589 92.1
 Bullying at school
  Yes 9829 13.6 1859 23.2 7970 12.4 703.84 <0.0001
  No 62,438 86.4 6165 76.8 56,273 87.6
 Electronic bullying
  Yes 7894 10.9 1662 20.6 6232 9.7 882.71 <0.0001
  No 64,585 89.1 6403 79.4 58,182 90.3
Mental health
 Persistent feelings of sadness/hopelessness
  Yes 21,265 29.6 4213 52.9 17,052 26.7 2330.45 <0.0001
  No 50,513 70.4 3748 47.1 46,765 73.3
Suicide-related behaviors
 Seriously considered suicide
  yes 10,450 14.5 2848 35.6 7602 11.9 3216.62 <0.0001
  No 61,565 85.5 5,163 64.4 56,402 88.1
 Made a suicide plan
  Yes 7694 13.2 2002 30.8 5692 11.0 1981.21 <0.0001
  No 50,552 86.8 4489 69.2 46,063 89.0
 Attempted suicide
  Yes 6637 10.7 1774 25.1 4863 8.8 1724.67 <0.0001
  No 55,393 89.3 5305 74.9 50,088 91.2
 Suicide attempt requiring medical treatment
  Yes 1779 3.4 478 8.4 1301 2.8 481.64 <0.0001
  No 50,420 96.6 5222 91.6 45,198 97.2
High-risk substance use
 Lifetime illicit drug use
  Yes 4302 7.6 1059 16.4 3243 6.5 796.00 <0.0001
  No 52,245 92.4 5416 83.6 46,829 93.5
 Lifetime prescription pain medicine misuse
  Yes 3970 12.4 865 22.2 3105 11.0 390.59 <0.0001
  No 28,070 87.6 3039 77.8 25,031 89.0
 Lifetime injection drug use
  Yes 1074 2.5 347 7.9 727 1.9 559.63 <0.0001
  No 41,048 97.5 4068 92.1 36,980 98.1

Results in bold are significant at p < 0.05.

For LGB students (Table 5), having a GSA or similar club (aOR: 0.71, 95% CI: 0.59–0.86) and facilitating access to out-of-school social and psychological service providers (aOR: 0.75, 95% CI: 0.62–0.91) were significantly associated with lower odds of being threatened or injured with a weapon at school. We found no other significant associations between LGBTQ-supportive school policies and practices and violence victimization or mental health outcomes.

Table 5.

Regression Modeling of Lesbian, Gay, Bisexual, Transgender, and Questioning-Supportive School Policies and Practices Among Lesbian, Gay, and Bisexual Students

Policies and practices
Gay/straight
alliances
Safe spaces Prohibit
harassment
Professional
development
HIV/STD
testing and
counseling
Social/psych
services
LGBTQ-
inclusive
curricula
Sum of all
variables
Outcomes aOR (95% CI)
Violence victimization
 Felt unsafe at, to, or from school 0.79 (0.67–0.93) 0.84 (0.65–1.10) a 0.86 (0.70–1.05) 0.99 (0.83–1.19) 0.92 (0.78–1.09) 1.04 (0.89–1.22) 0.97 (0.93–1.00)
 Threatened or injured with a weapon at school 0.71 (0.59–0.86) 0.87 (0.64–1.18) a 0.88 (0.69–1.11) 0.80 (0.65–0.97) 0.75 (0.62–0.91) 0.86 (0.73–1.03) 0.94 (0.90–0.98)
 Forced sex 1.00 (0.85–1.18) 1.14 (0.86–1.50) a 1.07 (0.87–1.31) 1.14 (0.95–1.36) 1.22 (1.03–1.45) 0.94 (0.81–1.09) 1.01 (0.97–1.04)
 Sexual dating violence 0.99 (0.80–1.21) 1.12 (0.79–1.58) a 1.07 (0.83–1.38) 1.01 (0.81–1.25) 1.13 (0.91–1.40) 0.96 (0.80–1.15) 0.99 (0.94–1.03)
 Physical dating violence 0.79 (0.66–0.94) 1.06 (0.79–1.44) a 1.04 (0.83–1.32) 0.94 (0.77–1.14) 0.90 (0.75–1.08) 0.98 (0.83–1.17) 0.97 (0.93–1.01)
 Bullying at school 0.90 (0.77–1.04) 0.96 (0.76–1.23) a 0.84 (0.70–1.00) 0.95 (0.81–1.10) 0.96 (0.83–1.11) 0.92 (0.81–1.06) 0.97 (0.94–1.00)
 Electronic bullying 1.00 (0.86–1.17) 1.21 (0.93–1.57) a 0.96 (0.80–1.16) 1.00 (0.85–1.18) 1.13 (0.96–1.32) 1.03 (0.89–1.18) 1.02 (0.98–1.05)
Mental health
 Persistent feelings of sadness/hopelessness 1.03 (0.91–1.17) 1.01 (0.83–1.24) a 1.02 (0.88–1.19) 0.92 (0.80–1.05) 1.05 (0.92–1.19) 0.96 (0.86–1.07) 1.01 (0.98–1.04)
Suicide-related behaviors
 Seriously considered suicide 0.98 (0.86–1.11) 1.08 (0.88–1.33) a 0.97 (0.83–1.14) 1.12 (0.98–1.29) 1.07 (0.94–1.22) 0.96 (0.85–1.08) 1.02 (0.99–1.05)
 Made a suicide plan 1.09 (0.94–1.27) 1.36 (1.04–1.77) a 1.09 (0.91–1.31) 1.09 (0.93–1.28) 1.02 (0.80–1.19) 0.99 (0.87–1.13) 1.02 (0.98–1.05)
 Attempted suicide 0.89 (0.77–1.03) 0.89 (0.71–1.13) a 0.73 (0.61–0.87) 0.98 (0.84–1.15) 0.91 (0.79–1.06) 0.92 (0.80–1.05) 0.95 (0.92–0.98)
 Suicide attempt requiring medical treatment 0.72 (0.56–0.93) a a 0.64 (0.48–0.86) 0.75 (0.57–0.99) 0.82 (0.63–1.06) 0.85 (0.67–1.08) 0.91 (0.86–0.96)
High-risk substance use
 Lifetime illicit drug use 0.82 (0.68–0.99) 0.95 (0.70–1.29) a 1.05 (0.83–1.33) 0.99 (0.82–1.21) 0.91 (0.76–1.09) 1.00 (0.85–1.18) 0.97 (0.93–1.01)
 Lifetime prescription pain medicine misuse 1.13 (0.88–1.45) a a 1.40 (1.06–1.84) 1.06 (0.84–1.36) 1.36 (1.08–1.73) 0.95 (0.75–1.19) 1.07 (1.01–1.13)
 Lifetime injection drug use 1.10 (0.73–1.40) a a a 1.00 (0.73–1.39) 0.81 (0.60–1.09) 1.01 (0.76–1.33) 1.00 (0.94–1.07)

Results in bold are significant at p < 0.05 with Holm-Bonferroni correction.

a

Results were excluded due to case numbers below the required minimum of at least 10 for each independent variable in the model.30

aOR, adjusted odds ratio; CI, confidence interval.

For suicide-related behaviors, encouraging staff to attend professional development was significantly associated with lower odds for attempting suicide (aOR: 0.73, 95% CI: 0.61–0.87), whereas increasing the sum of LGBTQ-supportive school policies and practices was significantly associated with lower odds for attempting suicide (aOR: 0.95, 95% CI: 0.92–0.98) and being injured in a suicide attempt (aOR: 0.91, 95% CI: 0.86–0.96). For high-risk substance use, having a GSA or similar club was significantly associated with lower odds of ever using illicit drugs (aOR: 0.82, 95% CI: 0.68–0.99).

For heterosexual students (Table 6), having a GSA or similar club was significantly associated with lower odds of multiple violence victimization outcomes, such as missing school because of safety concerns (aOR: 0.77, 95% CI: 0.71–0.84). Identifying safe spaces was significantly associated with lower odds of forced sexual intercourse (aOR: 0.80, 95% CI: 0.70–0.92), whereas prohibiting harassment (aOR: 0.66, 95% CI: 0.52–0.85), encouraging staff to attend professional development (aOR: 0.79, 95% CI: 0.72–0.86), facilitating access to out-of-school social and psychological service providers (aOR: 0.88, 95% CI: 0.81–0.95), and increasing the sum of LGBTQ-supportive school policies and practices (aOR: 0.96, 95% CI: 0.94–0.97) were all significantly associated with lower odds of missing school because of safety concerns.

Table 6.

Regression Modeling of Lesbian, Gay, Bisexual, Transgender, and Questioning-Supportive School Policies and Practices Among Heterosexual Students

Policies and practices
Gay/straight
alliances
Safe
spaces
Prohibit
harassment
Professional
development
HIV/STD testing
and counseling
Social/psych
services
LGBTQ-inclusive
curricula
Sum of
all variables
Outcomes aOR (95% CI)
Violence victimization
 Felt unsafe at, to, or from school 0.77 (0.71–0.84) 0.86 (0.76–0.98) 0.66 (0.52–0.85) 0.79 (0.72–0.86) 0.90 (0.83–0.98) 0.88 (0.81–0.95) 1.01 (0.93–1.08) 0.96 (0.94–0.97)
 Threatened or injured with a weapon at school 0.78 (0.71–0.86) 1.01 (0.87–1.18) 0.85 (0.61–1.17) 0.88 (0.79–0.98) 0.96 (0.87–1.06) 1.00 (0.91–1.10) 0.92 (0.84–0.99) 0.98 (0.96–1.00)
 Forced sex 0.87 (0.80–0.96) 0.80 (0.70–0.92) 0.76 (0.56–1.02) 0.92 (0.83–1.02) 0.95 (0.87–1.04) 0.95 (0.87–1.04) 0.98 (0.90–1.05) 0.98 (0.96–1.00)
 Sexual dating violence 0.98 (0.87–1.10) 0.85 (0.71–1.01) 0.86 (0.60–1.23) 0.92 (0.81–1.05) 0.96 (0.86–1.08) 0.94 (0.84–1.05) 0.87 (0.79–0.95) 0.98 (0.96–1.00)
 Physical dating violence 0.86 (0.78–0.95) 0.90 (0.77–1.05) 1.13 (0.79–1.62) 0.92 (0.82–1.03) 0.98 (0.88–1.09) 0.88 (0.80–0.97) 0.94 (0.86–1.02) 0.98 (0.95–1.00)
 Bullying at school 0.96 (0.90–1.03) 1.02 (0.91–1.14) 1.08 (0.84–1.39) 0.95 (0.88–1.03) 1.03 (0.96–1.11) 1.07 (1.00–1.15) 1.02 (0.96–1.08) 1.00 (0.98–1.01)
 Electronic bullying 0.94 (0.87–1.02) 0.98 (0.86–1.11) 0.84 (0.65–1.08) 0.95 (0.87–1.04) 1.01 (0.94–1.10) 1.03 (0.95–1.11) 0.99 (0.93–1.06) 1.00 (0.98–1.02)
Mental health
 Persistent feelings of sadness/hopelessness 0.96 (0.91–1.01) 0.92 (0.85–1.00) 0.97 (0.81–1.16) 0.91 (0.86–0.96) 0.99 (0.93–1.04) 1.00 (0.95–1.05) 0.99 (0.95–1.04) 0.98 (0.97–1.00)
Suicide-related behaviors
 Seriously considered suicide 0.92 (0.86–0.99) 0.88 (0.79–0.98) 0.80 (0.64–1.01) 0.96 (0.89–1.04) 1.01 (0.94–1.09) 1.03 (0.96–1.10) 1.01 (0.95–1.07) 0.99 (0.98–1.01)
 Made a suicide plan 0.89 (0.82–0.96) 0.98 (0.86–1.12) 0.95 (0.68–1.32) 0.93 (0.85–1.02) 0.96 (0.89–1.04) 0.97 (0.90–1.05) 1.01 (0.94–1.08) 1.00 (0.98–1.02)
 Attempted suicide 0.78 (0.72–0.84) 0.90 (0.79–1.02) 0.97 (0.75–1.25) 0.94 (0.85–1.03) 1.05 (0.96–1.15) 0.95 (0.87–1.03) 0.92 (0.86–0.99) 0.98 (0.96–0.99)
 Suicide attempt requiring medical treatment 0.74 (0.63–0.86) 0.75 (0.60–0.94) 0.74 (0.39–1.41) 0.95 (0.78–1.14) 1.01 (0.85–1.21) 0.84 (0.72–0.99) 0.93 (0.81–1.07) 0.98 (0.94–1.01)
High-risk substance use
 Lifetime illicit drug use 0.86 (0.78–0.96) 0.87 (0.74–1.03) 1.02 (0.64–1.64) 0.93 (0.83–1.05) 0.95 (0.85–1.06) 0.98 (0.89–1.08) 0.92 (0.84–1.01) 0.97 (0.95–0.99)
 Lifetime prescription pain medicine misuse 0.97 (0.86–1.09) 1.08 (0.88–1.31) 0.88 (0.57–1.36) 0.96 (0.85–1.09) 0.94 (0.84–1.05) 1.03 (0.92–1.15) 0.90 (0.78–0.99) 0.98 (0.96–1.01)
 Lifetime injection drug use 0.79 (0.65–0.98) 0.96 (0.71–1.31) 0.84 (0.41–1.73) 0.79 (0.64–0.97) 1.00 (0.81–1.24) 0.90 (0.74–1.10) 0.97 (0.81–1.16) 0.95 (0.91–0.99)

Results in bold are significant at p < 0.05 with Holm–Bonferroni correction.

Regarding mental health outcomes among heterosexual students, encouraging staff to attend professional development was significantly associated with lower odds of experiencing persistent feelings of sadness or hopelessness (aOR: 0.91, 95% CI: 0.86–0.96). For suicide-related behaviors, having a GSA or similar club was significantly associated with lower odds for multiple outcomes, such as attempting suicide (aOR: 0.78, 95% CI: 0.72–0.84) or injurious suicide attempt (aOR: 0.74, 95% CI: 0.63–0.86). For high-risk substance use, having a GSA or similar club (aOR: 0.86, 95% CI: 0.78–0.96) and increasing the sum of LGBTQ-supportive school policies and practices (aOR: 0.97, 95% CI: 0.95–0.99) were significantly associated with lower odds for ever using illicit drugs.

Discussion

These study findings align with research indicating that LGBTQ-supportive school health policies and practices are associated with lower odds for violence victimization, adverse mental health outcomes, suicide-related behaviors, and high-risk substance use among both heterosexual and sexual and gender minority (including LGB) students, although the strength of these associations may vary considerably.10,11,13-16

Our study was one of the first to compare the associations of LGBTQ-supportive school policies and practices with psychosocial mental health outcomes among LGB and heterosexual students, rather than focus on a single group. Of note, we found a greater number of significant associations for heterosexual students than for their LGB peers. Several outcomes, such as forced sexual intercourse, were significantly associated with LGBTQ-supportive school policies and practices for heterosexual, but not LGB, students.

Such findings may seem surprising, as such policies and practices are intended primarily for LGBTQ students. However, they also promote safer and more supportive school environments, fostering better psychosocial health among all students.7 For example, having a GSA or similar club offers opportunities for prosocial engagement and forming positive peer relationships for both heterosexual and sexual and gender minority (including LGB) students.11,33 Meanwhile, LGB youth face additional stressors outside of school, such as sexual minority identity-related prejudice and discrimination in their families or communities.4,5 Consequently, the positive effects of LGBTQ-supportive school policies and practices may be more pronounced for their heterosexual peers.

Overall, further research is needed to better understand this process and its potential mediators. Meanwhile, the implementation of LGBTQ-supportive policies and practices should be coordinated with similar out-of-school activities to properly address all risk and protective factors impacting LGB students and their psychosocial health.

With a few exceptions,8 past research has mostly focused on analyzing LGBTQ-supportive school policies and practices individually. In contrast, this study examined the association between the sum of these policies and practices and student psychosocial health outcomes. As most schools implement LGBTQ-supportive policies and practices simultaneously,21 this approach is of particular significance for their evaluation and improvement.

Overall, increasing the sum of LGBTQ-supportive school policies and practices was significantly associated with lower odds for attempting suicide and injurious suicide attempts for LGB students and for missing school because of safety concerns and ever using illicit drugs for heterosexual students. These differences between LGB and heterosexual students may be owing to the previously mentioned additional stressors that LGB students face outside of school, which can drive them to illicit drug use as a coping mechanism.6,12

Future studies should explore the possible factors contributing to these differences. Furthermore, researchers should examine the relative efficacy of various LGBTQ-supportive school policies and practices. Our study shows that some, such as having a GSA or similar club, are associated with a greater number of psychosocial health outcomes. Thus, the method for computing their combined implementation should be revised accordingly.

Limitations

Our findings are subject to several limitations. First, we only examined cross-sectional data, and some of the YRBS items asked about lifetime, not current, prevalence. Thus, we can only draw inferences about the variable associations rather than the causality of the observed findings. YRBS and Profiles data were also self-reported and might be subject to response bias. Furthermore, we had larger sample sizes and greater statistical power for analyses involving heterosexual students, which may explain the greater number of significant findings observed for this group than for their LGB peers.

As the YRBS does not assess the students’ use or knowledge of LGBTQ-supportive school policies and practices, we cannot establish whether students were aware of and utilized any of the examined school policies and practices. Subsequent studies should explore how these and other factors, such as family and parent engagement, may affect the observed associations of LGBTQ-supportive school policies and practices with psychosocial health outcomes.

Finally, we used a sexual identity question to categorize students as LGB or heterosexual because school policies and practices are primarily intended for students who identify as part of the LGBTQ community, rather than those who engage in nonheterosexual sexual behaviors but do not identify on the LGBTQ spectrum. Sexual identity, however, does not necessarily align with sexual behavior or actual sexual orientation.34 Thus, we may have unintentionally excluded students who have engaged in nonheterosexual sexual activities or experienced nonheterosexual attraction but chose to identify as heterosexual.

We also could not examine other sexual and gender minority groups, such as transgender and questioning students, as the surveys used in this study did not include such questions. Furthermore, using a grouped LGB variable is likely to mask a differential association with the strategies for various sexual identity subgroups. For instance, bisexual women report higher rates of dating violence victimization than men or heterosexual and lesbian women.35 Therefore, subsequent studies need to include larger and more inclusive samples to disaggregate the observed associations.

Conclusion

The study highlights how LGBTQ-supportive school policies and practices are associated with better psychosocial health outcomes among both LGB and heterosexual students. Of note, our findings generally align with research conducted outside the United States, indicating the potential benefits of such policies and practices for the students’ psychosocial health.9,18-20 Thus, the study suggests that international research on the importance of protective policies and practices for sexual minority students may be generalizable to the U.S. context. Still, further research is needed to better understand the relationship of school-level policies and practices with health outcomes of students in the United States.

Acknowledgments

The authors thank Nicolas Suarez, Elyse Phillips, and Zachary Timpe for their contributions to the collection and management of the original datasets used in this study, and Li Yan Wang, Nicole Liddon, and Patricia Dittus for their feedback and revisions.

Funding Information

No funding was received for this article.

Disclaimer

The findings and conclusions in this article are those of the author(s) and do not necessarily represent the Centers for Disease Control and Prevention.

Footnotes

Author Disclosure Statement

No competing financial interests exist.

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