Syndemics of complex risk factors in adolescents: findings from the youth risk behavior survey, 2021

Abstract

Syndemic theory posits that multiple, interconnected health behaviors—such as substance use, anxiety, depression, sexual risk behaviors, and societal or social stressors—interact synergistically within specific populations, particularly in those who face social disadvantage. These health behaviors are not isolated, but are shaped and exacerbated by social, economic, and environmental factors. Using data from the 2021 Youth Risk Behavior Surveillance System (N = 17,232), this cross-sectional study examined how the co-occurrence of substance use, mental health challenges, sexual risk behaviors, and COVID-19 pandemic-related stress creates different risk profiles among adolescents. Latent class analysis (LCA) results identified five distinct profiles of behavioral health risks: Class 1 (Complex high-risk), Class 2 (Moderate risk experimenters), Class 3 (Recent polysubstance use/Covid distress), Class 4 (Low-risk/COVID distress), and Class 5 (Low-risk). COVID distress referred to pandemic-related anxiety or stress. Higher-risk classes were characterized by recent substance use, engagement in condomless sex and having multiple partners, and psychological distress. Females, sexual minority adolescents, older-aged adolescents, and racially/ethnically marginalized groups were disproportionately represented in high-risk classes. The co-occurrence of substance, mental health challenges, and sexual risk behaviors reflects underlying structural and social inequities. By applying a syndemic lens, this study highlights the need for integrated, culturally responsive and contextually appropriate interventions, alongside early prevention and systemic policy changes to promote positive adolescent health.

Introduction

Syndemic theory suggests that the convergence of multiple health behaviors increases risks for and burden of negative health and social consequences than the experience of any single risk¹. Syndemics suggests that interacting physical, mental, structural, and social problems contribute to health inequalities². Rather than focusing on individual markers for a single disease, syndemics examines how diseases cluster within populations as a result of social inequality in a biosocial approach^1,3. These factors were originally identified as a syndemic of HIV in men who have sex with men (MSM) and were characterized as co-occurring epidemics of substance abuse, violence and AIDs (SAVA)^3,4. Syndemics is now widely applied in both infectious and chronic disease models and may be particularly appropriate for factors that cannot be explained solely by individuals’ risk behaviors (e.g., number of sex partners and condom use) nor prevented by universal behavioral interventions^5,6. Interventions that singularly target independent risk factors such as substance use, anxiety and depression, or sexual risk behaviors have had limited success in improving health outcomes for adolescents^7,8. Identifying multiple behavioral health profiles to target simultaneously could improve intervention efficacy. Using a syndemic theoretical framework to examine multiple co-occurring risk factors among high school adolescents could be critical in developing high-impact interventions targeted for adolescents at high risk for adverse health and wellbeing outcomes^9,10. However, little is known about the co-occurring profiles of substance use, mental health outcomes, sexual risk behaviors, and societal stressors among US adolescents.

Understanding the landscape and context of adolescent health and wellbeing factors is crucial to improving outcomes and supporting positive transition to adulthood. Despite declining trends in sexual risk behaviors among US high school students, the Centers for Disease Control and Prevention (CDC) reports that between 2011 and 2021, condom use among sexually active students decreased from 67 to 58% among males and 54 to 47% in females¹¹, and adolescent pregnancies and births remain higher than in comparable countries¹². Some adolescents, such as those identifying as lesbian, gay, and bisexual (LGB), are at greater risk than heterosexuals to engage in risk behaviors (e.g., alcohol and substance use, inconsistent condom use) that may lead to negative health outcomes. For example, 19% of students with same sex partners have had sex with four or more lifetime partners compared to 13% of heterosexual students. Roughly 20% of gay or bisexual male students drank alcohol or used drugs before sex¹¹. Population data show that 19% of all sexually active US adolescents drank alcohol or used drugs before their most recent sexual encounters¹¹. Adolescents may engage in condomless sex under the influence of drugs or alcohol^13–16, which are associated with increased risks for HIV and other sexually transmitted infections (STIs)¹⁷. The prevalence of drug and alcohol use before sex ranges from 12.6% to 34.6% among US adolescents^11,18. Use of multiple illicit substances (i.e., polysubstance use) such as marijuana, tobacco, and alcohol among adolescents is a growing critical public health concern¹¹. The prevalence of lifetime use of any illicit substance among adolescents ranges from 34 to 48%¹⁹. Lifetime prevalence of cigarette smoking ranges from 18% to 28%, the use of electronic vaporizer is 30 to 34%, marijuana use is 30 to 45%, and alcohol use is 43 to 61%¹⁹.

Adolescents experiencing anxiety, depression, and suicidal ideation are more likely to use marijuana, drink alcohol, and engage in condomless sex^20,21. Since 2007, the prevalence of psychological distress and suicidal ideation have increased from 14.5% in 2007 to 17.2% in 2017 among adolescents in the United States¹¹. Studies have demonstrated that adolescents with anxiety and depression are more likely to use tobacco products, marijuana, and illicit drugs (e.g., meth, cocaine, and heroin)^22,23. Additionally, adolescents who use substances are less likely to use condoms during sex than non-substance-using adolescents; they also have sex with multiple partners and perform varied types of sex (e.g., oral and anal)²⁴. It is imperative to understand the influence of these co-occurring factors that may uniquely compound to result in substance use in adolescents and understand the drivers of the development of substance use disorders.

It is well established that sexual risk, substance use, and mental health are highly correlated^25,26. Since adolescence is a crucial developmental period for self-exploration and susceptibility to negative psychosocial influences, understanding the interconnectedness of substance use, mental health, and sexual behavior among adolescents is particularly important. Polysubstance use and sexual risk behaviors at a young age are associated with increased risk for addiction, mental health problems, and STIs throughout the life course^26,27. Additionally, the adoption of negative health behaviors in adolescence can lead to increased health and social disparities later in life^11,19,28. Strategies to reduce sexual risk-taking, substance use, and improve mental health among adolescents are urgently needed^29,30.

During the COVID-19 pandemic, drastic changes and significant disruptions (i.e., changes in learning modality, isolation)³¹, coupled with the loss of normalcy³², led to widespread psychological health issues among adolescents^33,34. These mental health challenges have been associated with challenges in optimal sexual and psychological heath³⁵, including increases in condomless sex and numbers of sexual partners in the past year, and an increase in varied substance use³⁶. The prevalence of HIV testing decreased 3.7% among adolescents from 2019 to 2021, and condomless sex increased by 2.7%, further highlighting the pandemic’s disruptive nature on adolescent health services³⁷.

The present study explores profiles of mental health, substance use, and sexual risk behaviors among US adolescents and the factors associated with these profiles. Guided by syndemic theory, latent class analysis (LCA) is a useful approach to explore how behavioral health risks co-occur without losing specificity regarding the individual domains of risk³⁸. Specifically, LCA identifies subgroups within a sample and highlights the profiles and conditional probabilities of behaviors within an identified profile³⁸. Although informative, the binary, independent measures of risk behaviors inform only part of the narrative surrounding risk factors among US adolescents. Examining how substance use, mental health indicators, and sexual risk behaviors might co-occur to enhance the progression of negative health outcomes is important in further devising optimal prevention strategies and timely interventions.

Additionally, the pandemic changed access to resources and introduced stressors that were not previously influencing health and psychological factors. Understanding the constructs that facilitate risk among adolescents, particularly in the context of the pandemic, may provide a unique opportunity to develop effective and culturally appropriate intervention strategies targeting high-risk, hard-to-reach subgroups. By examining subgroups of adolescents who use substances, have adverse mental health, and engage in sexual risk behaviors, the findings are hypothesized to provide a foundation for tailored and targeted interventions that could be developed for subpopulations of adolescents in the United States.

Methods

Data for this study were obtained from the CDC’s 2021 youth risk behavior survey (YRBS), representing an early opportunity to evaluate adolescents’ health behaviors within the context of ongoing public health surveillance efforts^39–41. The YRBS includes a range of domains related to substance use, mental health, sexual risk behaviors, and other health-related behaviors. The survey is administered to high school students and uses a three-stage cluster sampling design to estimate the national rates of health-related behaviors among high school students (N = 17,232). A more detailed description of the sampling methods and study procedures is published elsewhere^39,40. Briefly, 152 high schools (72.7% school response rate) completed the YRBS from all 50 states and the District of Columbia in 2021. The student response rate at the participating schools was 79.1%²⁶. This study was conducted in compliance with the Declaration of Helsinki. Ethical approval and informed consent were not required as the analysis used secondary data collected by the CDC. The YRBS dataset was fully anonymized prior to being made available to the research team, and no personally identifiable information was provided.

Demographic measures

Single-item measures of sex at birth (male, female), sexual orientation (LGB, questioning, other sexual minority, and heterosexual), race/ethnicity (Asian, Black, Hispanic, multiracial Hispanic, multiracial non-Hispanic, and White) and high school grade levels (nine to twelve) were included as demographic covariates.

Sexual risk

Single-item measures of sexual risk behaviors were assessed through age of sexual debut, number of lifetime partners, condom use at last intercourse, and drug or alcohol use prior to last intercourse.

Substance use

Single-item measures of lifetime and recent history of substance use questions were included to assess alcohol, marijuana, cigarettes, electronic cigarettes, and electronic vaping. Responses were recoded into two questions for each substance: lifetime and past 30-day use. Each of these substances were categorized as “Never,” “Ever” (ever used within their lifetime), and “Recent” (past 30-day use).

Suicidal ideation and depression

The following items were used as two separate single-item mental health indicators: Depression was assessed as “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?” and suicidal ideation as “ During the past 12 months, did you ever seriously consider attempting suicide?” Response options were dichotomous: “yes” or “no.”

COVID-19 pandemic

Two questions were added to the 2021 YRBS about experiences during the COVID-19 pandemic. Respondents were asked, “During the COVID-19 pandemic, how often was your mental health not good? (Poor mental health includes stress, anxiety, and depression.)” with responses trichotomized as “never/rarely,” “sometimes,” or “most of the time/always.” Respondents were also asked, “During the COVID-19 pandemic, did a parent or other adult in your home lose their job even for a short amount of time” to which responses were dichotomized as “yes” or “no.”

All analyses were conducted using Mplus 8.10²⁷. Sample weights were included in analyses to adjust for survey non-response and sample selection probabilities. Primary sampling units (PSU) and stratum variables were included to account for the complex sampling design. Missing data for latent class indicators were handled using the full information maximum likelihood (FIML) capabilities of Mplus. We used latent class analysis (LCA) to identify homogeneous subgroups of adolescents based upon response patterns to the sexual risk, substance use, and mental health indicators. To determine the number of classes, a series of models were conducted. An initial one-class model was assessed, followed by two-, three-, four- and five-class models representing different patterns of behavioral health risk. Optimal model selection for the five-class model was based upon recommended indices, including low adjusted Bayesian information criterion (BIC) relative to other models, significant Lo–Mendell–Rubin likelihood ratio test (LMR LRT), and acceptable quality of classification²⁸. After determining the appropriate number of classes, we used the R3STEP method in Mplus to conduct multinomial logistic regression to assess the odds of class membership associated with sex, sexual orientation, race, and grade level.

Results

Demographics

The student sample described in Table 1 was evenly distributed across grades, each comprising approximately one-fifth of the population. Most students identified as heterosexual (70.6%), though a significant portion identified as gay, bisexual, lesbian (14.4%), or other/questioning (4.9%). The majority were White (50.1%), followed by Black (12.0%), multiracial Hispanic (15.6%), and Hispanic (9.5%). Male (50.9%) and female (47.6%) students were nearly equally represented. Mental health concerns were prominent—41.6% reported feeling depressed, and 21.6% had experienced suicidal thoughts. Most students (63.4%) had never had sex; however, among those who had, 8.5% reported three or more partners and inconsistent condom use was reported at 14.5%. The pandemic had a clear impact on adolescent mental health: 29.3% felt mentally affected most of the time or always, and nearly one in four students (19.3%) had a parent who lost their job due to COVID-19.

Table. 1.

Demographic characteristics of US adolescents, 2021

Characteristics	N (%)
Grade
Ninth	4567 (26.4)
Tenth	4401 (25.3)
Eleventh	4072 (24.1)
Twelfth	3800 (23.3)
Missing	159 (1.0)
Sexual and gender identity
Heterosexual	12262 (70.6)
Gay/Bi/Lesbian	2334 (14.4)
Other sexual minority	649 (3.7)
Questioning	816 (4.9)
Missing	938 (6.5)
Race/ethnicity
Asian	850 (4.9)
Black	2322 (12.0)
White	9151 (50.1)
Hispanic	1213 (9.5)
Multiracial, Hispanic	2031 (15.6)
Multiracial, non-Hispanic	1000 (5.6)
Missing	432 (2.3)
Sex
Male	8687 (50.9)
Female	8049 (47.6)
Missing	263 (1.5)
Alcohol use
Never	8631 (50.1)
Ever	3541 (20.6)
Recent	3591 (21.3)
Missing	1236 (8.0)
Marijuana use
Never	9995 (64.0)
Ever	1545 (10.5)
Recent	2611 (15.4)
Missing	2848 (10.1)
Cigarette use
Never	11080 (70.8)
Ever	1721 (11.1)
Recent	643 (3.7)
Missing	3555 (14.4)
E-cigarette use
Never	10628 (61.8)
Ever	2254 (13.1)
Recent	2872 (16.6)
Missing	1245 (8.6)
Feeling depressed
No	10077 (56.5)
Yes	6656 (41.6)
Missing	266 (1.9)
Suicidal ideation
No	13163 (76.1)
Yes	3534 (21.6)
Missing	302 (2.2)
Age of first sex
Never	10603 (63.4)
11 to 13	1006 (5.7)
14	1080 (6.1)
15	1186 (6.7)
16 or older	1422 (8.3)
Missing	1702 (9.8)
Number of partners
None	10,598 (63.3)
1	2218 (13.1)
2	920 (5.1)
3 or more	1515 (8.5)
Missing	1748 (10.0)
Drugs/alcohol last sex
Never had sex	7936 (58.7)
Yes	726 (4.7)
No	3093 (20.6)
Missing	5244 (16.0)
Condom use last sex
Never had sex	10,598 (63.4)
Yes	2433 (14.5)
No	2246 (12.3)
Missing	1722 (9.8)
COVID MH
Never/rarely	3749 (30.1)
Sometimes	2373 (20.0)
Most of the time/always	3468 (29.3)
Missing	7409 (20.6)
Parent COVID job loss
No	9438 (60.0)
Yes	2729 (19.3)
Missing	4832 (20.7)

Latent class analysis

Table 2 depicts the response probability results of the five-class model. The five-class latent class model revealed distinct subgroups of adolescents based on patterns of substance use, sexual behavior, mental health, and COVID-19-related distress. Approximately 14.6% of the sample belonged to the “complex high-risk” class, characterized by the highest levels of recent substance use across alcohol, marijuana, cigarettes, and e-cigarettes. Members of this class were also the most likely to report early sexual debut, multiple sexual partners, substance use during sex, and low condom use. Additionally, they had an increased probability of depressive symptoms (73.7%), suicidal ideation (51.0%), and feeling emotionally distressed (60.0%) most or all of the time due to the COVID-19 pandemic.

Table. 2.

Five class latent classes of sexual risk, mental health, and polysubstance use among US adolescents, 2021

Latent class indicators	Complex high-risk n(%) 2478 (14.6%)	Moderate risk experimenters n (%) 2563 (15.1%)	Recent polysubstance use/Covid distress n (%) 2068 (12.2%)	Low-risk/COVID distress n (%) 2883 (17.0%)	Low-risk n (%) 7003 (41.2%)
Alcohol use
Never	0.025	0.417	0.142	0.682	0.832
Ever	0.247	0.368	0.358	0.223	0.124
Recent	0.728	0.214	0.500	0.096	0.044
Marijuana use
Never	0.062	0.673	0.335	0.968	0.980
Ever	0.244	0.200	0.319	0.020	0.014
Recent	0.695	0.127	0.346	0.013	0.006
Cigarette use
Never	0.370	0.859	0.601	0.982	0.985
Ever	0.405	0.133	0.325	0.018	0.015
Recent	0.226	0.008	0.074	0.000	0.000
E-cigarette use
Never	0.047	0.619	0.131	0.929	0.946
Ever	0.164	0.267	0.402	0.070	0.049
Recent	0.788	0.114	0.467	0.001	0.005
Feeling depressed
No	0.263	0.577	0.357	0.138	0.933
Yes	0.737	0.423	0.643	0.862	0.067
Suicidal ideation
No	0.490	0.799	0.651	0.583	0.991
Yes	0.510	0.201	0.349	0.417	0.009
Age of first sex
Never	0.000	0.000	1.000	1.000	1.000
11 to 13	0.275	0.153	0.000	0.000	0.000
14	0.274	0.184	0.000	0.000	0.000
15	0.232	0.264	0.000	0.000	0.000
16 or older	0.219	0.399	0.000	0.000	0.000
Number of partners
None	0.000	0.000	1.000	1.000	1.000
1	0.335	0.640	0.000	0.000	0.000
2	0.214	0.168	0.000	0.000	0.000
3 or more	0.451	0.192	0.000	0.000	0.000
Drugs/alcohol last sex
Never had sex	0.000	0.000	1.000	1.000	1.000
Yes	0.340	0.039	0.000	0.000	0.000
No	0.660	0.961	0.000	0.000	0.000
Condom use last sex
Never had sex	0.000	0.000	1.000	1.000	1.000
Yes	0.430	0.648	0.000	0.000	0.000
No	0.570	0.352	0.000	0.000	0.000
COVID MH
Never/rarely	0.210	0.383	0.228	0.045	0.633
Sometimes	0.183	0.295	0.250	0.233	0.269
Most of the time/always	0.606	0.323	0.522	0.722	0.098
Parent COVID job loss
No	0.650	0.743	0.670	0.739	0.835
Yes	0.350	0.257	0.330	0.261	0.165

^*Latent class definitions: Class 1—not sexually active and did not use substances; Class 2—polysubstance experimenters; Class 3—not sexually active but polysubstance users with suicidal ideation and depression; Class 4—engaged in sexual risk behaviors and polysubstance use.

The “moderate risk experimenters” class accounted for 15.1% of the sample and included adolescents who had initiated sexual activity and engaged in moderate levels of experimentation with substances, particularly alcohol and marijuana. While recent substance use was lower than in the “Complex High-Risk” class, members displayed higher probabilities of depressive symptoms (42.3%) and suicidal ideation (20.1%). The “recent-polysubstance use-COVID-distress” class (12.2%) was defined by moderate to high levels of recent alcohol, marijuana, and e-cigarette use, but no sexual activity. Mental health concerns were also pronounced, with higher probabilities of reporting depressive symptoms (64.3%) and suicidal ideation (34.9%). This class appeared to be highly impacted by the pandemic, with a higher probability of experiencing COVID-related emotional distress most or all of the time (sometimes—29.5%; mostly/always—32.3%). The “low-risk/COVID distress” class made up 17.0% of the sample and included adolescents with very low conditional probabilities of substance use and no sexual activity, but strikingly high probabilities of depressive symptoms (86.2%) and suicidal ideation (41.7%). Despite their endorsement of low engagement in externalizing risk behaviors, this group appeared to be emotionally vulnerable and particularly affected by COVID-related distress.

Finally, the largest class, “low-risk” (41.2%), represented adolescents with conditional probabilities of minimal to no substance use, no sexual activity, and the lowest probabilities of depressive symptoms (6.7%) and suicidal ideation (0.9%). This group also reported the highest probabilities of having little to no COVID-related emotional distress (63.3%).

Multinomial regression analysis

Table 3 depicts the results of the multinomial logistic regression analysis, which was conducted because there are multiple levels in the classes and covariates. Comparing the complex high-risk class to the low-risk, males had significantly lower odds of being in “complex high-risk” class (OR = 0.45; 95% CI: 0.38– 0.53). All sexual minority adolescents and those questioning their sexual identity had higher odds of being in the “complex high-risk” class than the “low-risk” class: LGB adolescents (OR = 4.52; 95% CI: 3.58 —5.70), other sexual minority (OR: 2.95; 95% CI: 1.91—4.57), and questioning (OR = 1.60; 95% CI: 1.11—2.31). Compared to White adolescents, Asian adolescents were less likely to belong to the “complex high-risk” class than the “low-risk” class (OR = 0.19; 95% CI: 0.13—0.28) as opposed to multiracial Hispanic adolescents (OR = 1.36; 95% CI: 1.10—1.68). Ninth graders (OR = 0.18; 95% CI: 0.13—0.24) were less likely to belong to the “complex high-risk” class than the “low-risk” class compared to twelfth graders.

Table. 3.

Multinomial regression of demographic characteristics and latent class membership compared to adolescents from the low concurrent risk class

Covariates	Complex high-risk vs Low risk. aOR (95% CI)	Moderate risk experimenters vs low risk. aOR (95% CI)	Recent polysubstance use/Covid sad vs low risk. aOR (95% CI)	Low-risk/COVID sad vs low risk. aOR (95% CI)
Male	0.45 (0.38–0.53)	0.84 (0.70—1.02)	0.43 (0.34–0.54)	0.29 (0.24–0.35)
Sexual Orientation
Lesbian/Gay/Bisexual	4.52 (3.58—5.70)	2.32 (1.93— 2.80)	3.33 (2.48–4.45)	4.40 (3.59–5.39)
Other sexual minority	2.95 (1.91— 4.57)	1.55 (0.77—3.13)	2.40 (1.53— 3.77)	6.23 (4.52—8.59)
Questioning	1.60 (1.11— 2.31)	0.85 (0.55— 1.32)	1.63 (1.02— 2.61)	2.89 (1.95—4.26)
Heterosexual	REF	REF	REF	REF
Race/Ethnicity
Asian	0.19 (0.13—0.28)	0.27 (0.19— 0.39)	0.50 (0.31— 0.80)	0.78 (0.58—1.01)
Black	0.87 (0.61—1.23)	1.62 (1.27— 2.07)	1.00 (0.80—1.23)	0.86 (0.71—1.05)
Hispanic	0.91 (0.60—1.37)	1.16 (0.88—1.53)	1.31 (1.13— 1.51)	1.17 (0.87 —1.58)
Multiracial, Hispanic	1.36 (1.10— 1.68)	1.12 (0.87—1.43)	1.29 (0.92—1.81)	1.19 (0.81—1.73)
Multiracial, non- Hispanic	1.19 (0.83 —1.71)	1.32 (0.88—1.97)	1.07 (0.73 - 1.57)	1.26 (0.92—1.74)
White	REF	REF	REF
Grade Level
Ninth	0.18 (0.13—0.24)	0.17 (0.13— 0.21)	0.60 (0.45— 0.79)	1.12 (0.81—1.54)
Tenth	0.31 (0.23—0.40)	0.30 (0.24— 0.37)	0.86 (0.65— 1.14)	1.20 (0.93—1.56)
Eleventh	0.60 (0.46—0.79)	0.58 (0.48—0.70)	1.13 (0.84–1.51)	1.28 (0.92—1.79)
Twelfth	REF	REF	REF	REF

Boldface indicates statistical significance (p < 0.05).

LGB adolescents were significantly more likely to be moderate risk experimenters (OR = 2.32; 95% CI: 1.93–2.80) compared to heterosexual adolescents. Asian adolescents had the lowest odds of belonging to the “moderate risk experimenters” class (OR = 0.27; 95% CI: 0.19–0.39); Black adolescents had the highest odds (OR = 1.62; 95% CI: 1.27– 2.07). Ninth graders were less likely (OR = 0.17; 95% CI: 0.13–0.21) to belong to the “moderate risk experimenters” class compared to 12th graders.

Males had significantly lower odds of being in the “recent-polysubstance-use-covid-sad” class (OR = 0.43; 95% CI: 0.34–0.54). Compared to heterosexual adolescents, all sexual minority adolescents and those questioning their sexual identity had higher odds of being placed in the “recent-polysubstance-use-covid-distress” class than the “low-risk” class: LGB adolescents (OR = 3.33; 95% CI: 2.48–4.45), other sexual minority (OR: 2.40; 95% CI: 1.53–3.77), and questioning (OR = 1.63; 95% CI: 1.02–2.61). Compared to White adolescents, Asian adolescents had the lowest odds of being in the “recent-polysubstance-use-covid-distress” class than “low-risk class” (OR = 0.50; 95% CI: 0.31–0.79), whereas multiracial Hispanic adolescents had the highest odds (OR = 1.31; 1.13–1.51). Only ninth graders had significantly lower odds been placed in this class than the “low-risk” class when compared to twelfth graders (OR = 0.60; 95% CI: 0.45–0.79).

For the “low-risk-covid-distress” class, males had significantly lower odds of being in this class than the “low-risk” class (OR = 0.29; 95% CI: 0.24–0.35). Compared to heterosexual adolescents, all sexual minority adolescents and those questioning their sexual identity had higher odds of being placed in the “recent-polysubstance-use-covid-distress” class than the low-risk class: LGB adolescents (OR = 4.40; 95% CI: 3.59–5.39), other sexual minority (OR: 6.23; 95% CI: 4.52–8.59), and questioning (OR = 2.89; 95% CI: 1.95–4.26).

Discussion

This cross-sectional study identified five distinct profiles of substance use, adverse mental health outcomes, and engagement in sexual risk behaviors that co-occurred among young people in the US adolescents in the study reported a high prevalence of adverse mental health outcomes, which were exacerbated during the COVID-19 pandemic. Polysubstance experimentation, anxiety, suicidal ideation, and sexual activity were common. One particularly complex high-risk group in the study was comprised of sexual minority females and multiracial Hispanic adolescents. Complex high-risk behaviors in this class also included higher probabilities of recent alcohol, marijuana, and e-cigarette use. Additionally, this class had a higher probability of feeling depressed, experiencing suicidal ideation, having three or more lifetime sexual partners, using drugs and alcohol at their last sexual encounter and not using a condom. Complex high-risk adolescents were regularly concerned about COVID-related stressors and had a parent who experienced job loss during the pandemic⁴².

A syndemic of mental health factors, societal stressors and risk behaviors—including substance use, higher numbers of lifetime sexual partners, and inconsistent condom use—is related to adverse health and social challenges in young adulthood and later life^43,44. Our findings are similar to our previous study of complex psychosocial and behavioral factors among adolescents. In one sample of Black adolescents, polytobacco users had the highest probabilities of recent cigarette use, e-cigarette use, ever smoking cigars, or chewing tobacco⁴². Ever and current use of marijuana were associated with increased odds of e-cigarette use, and current marijuana use was associated with increased odds of polytobacco use (aOR = 24.61, CI = 6.95–87.11)⁴². In a separate analysis of representative US adolescents, we demonstrated that younger adolescents had a higher relative probability of co-occurring problem behaviors and polysubstance use, including illicit drug use, combustible tobacco, cannabis use, binge drinking, past 30-day use of alcohol, emotional distress, and three or more sexual partners⁴⁵. The convergence of anxiety, societal stressors, and risk behaviors such as substance use and inconsistent condom use represents a syndemic that can lead to long-term health and social consequences.

Understanding the implications of polysubstance use for adolescents is imperative as use continues to rise. The co-occurrence of anxiety, depression and suicidal ideation is also concerning and suicidal ideation among high school-aged adolescents in the United States has increased from 16.0% in 2011 to 22.0% in 2021¹¹. Studies have demonstrated that adolescents with anxiety and depression are more likely to use tobacco products, marijuana, illicit drugs (e.g., meth, cocaine, and heroin) and alcohol^22,23. The rising prevalence of polysubstance use alongside increasing rates of anxiety, depression, and suicidal ideation among adolescents underscores the need for integrated mental health and substance use interventions. Early screening and targeted prevention efforts should focus on adolescents experiencing psychological distress, as they are more likely to use substances to cope. Reducing stigma, expanding access to mental health care, and promoting emotional literacy in schools are essential steps⁴⁶. Continued monitoring and research are also critical to understanding and responding to these converging trends in adolescent health.

Adolescents experiencing cultural stressors in addition to normal explorations of substance use and initiation of sexual behaviors would benefit from culturally responsive interventions for multiracial, Hispanic, female, and sexual minority adolescents who face compounded behavioral health risks. Prevention strategies should be intersectional, addressing co-occurring substance use, mental health issues, and sexual risk behaviors. These findings underscore the need for tailored and targeted interventions that incorporate social and societal stressors, such as pandemic-related stress, that could be developed for subpopulations of adolescents in the United States. A tailored intervention would be particularly impactful for high-risk groups like Black adolescents who engage in polytobacco and marijuana use. Culturally responsive, early intervention programs and updated substance use education are essential. For instance, interventions designed to reduce or delay substance use and sexual debut may focus on racial, gender-based programs that integrate important intersectional and empowerment theories to support protective factors such as racial identity and gender racial socialization⁴⁷. Additionally, structural changes and supportive policies that reduce systemic stressors are critical, along with continued longitudinal research to inform effective public health responses.

The COVID-19 pandemic significantly influenced mental health, social connectedness, and influenced drastic changes and significant disruptions to resources and available services for adolescents^31–34. The interruption of engagement in social supports greatly impacted the health and well-being of young people, with effects still observed in substance use and sexual behaviors^35–37. The present study observed pandemic-related stressors as part of a syndemic that included anxiety, substance use, and sexual risk behaviors for a proportion of adolescents in the sample. While the pandemic provided benefits to some, disengagement in social settings and isolation heightened for others, potentially accelerating adverse health behaviors^48,49. In the current study, pandemic-related stressors were included as a broader societal influence that was outside of traditional health behaviors but had a significant and lasting influence on behaviors and outcomes for adolescents. The application of syndemics in the context of COVID-19 is helpful in examining the magnitude of influence of those factors within the model and the inclusion of those characteristics in profiles of adolescents at high risk for adverse health behaviors⁵⁰. This has been explored in adult populations, but has not been widely applied in adolescents. While not exclusively a structural factor (e.g., housing, food security, and health care access), pandemic- related stress may have been a downstream effect of greater structural factors that could influence adolescents’ experiences, similar to social deprivation, and culturally marginalizing events⁵¹. Interventions for adolescents must address the social and contextual factors that currently contribute to their anxiety to most effectively improve health behaviors and outcomes.

Adolescent health interventions should adopt a biosocial framework to explore how issues like poverty, social stressors and health behaviors compound adolescent health risks. Developing multi-level interventions that target co-occurring challenges (i.e., mental health, substance use, sexual health) and integrate social context of societal stressors (i.e., the pandemic) can lead to more effective outcomes. Continued expansion of the use of syndemic models beyond HIV to broader adolescent health crises, such as mental health and substance use, and engaging marginalized communities through participatory research, will be essential for creating equitable, contextually relevant public health solutions.

This study must be interpreted with some limitations. The study was limited to the most recently available cycle for which data were collected from September to December 2021⁵², and is further limited by the temporal context that behaviors and attitudes may have significantly shifted due to varying factors during the pandemic. Mental health factors included in this study were limited to suicidal ideation, anxiety and pandemic-related stress—included two questions about parent job loss and poor mental health due to the pandemic. While helpful indicators, the limited scope of the questions may not capture the full range of factors influencing anxiety among adolescents. Additionally, measurement validity may be lessened by the absence of a validated scale. The cross-sectional design of YRBS limits causal inferences, generalizability, and there is potential for misclassification within latent class results.

Results of this study reveal distinct profiles of co-occurring behavioral health risks among US adolescents, highlighting the compounded vulnerabilities faced by multiracial, Hispanic, female, and sexual minority adolescents. The intersection of substance use, mental health challenges, and risky sexual behaviors reflects broader structural and social inequities. A syndemic framework underscores the importance of integrated, trauma-informed, and culturally responsive interventions that address these overlapping risks. Early prevention, expanded mental health access, and structural policy changes are essential to reducing disparities and promoting long-term adolescent health.

Author contributions

A.V.H.: Conceptualization; methodology; formal analysis; writing—original draft; writing—review and editing; and visualization. M.J.G.: Writing—original draft; writing—review and editing; and visualization. J.B.: Writing—review & editing. T.D.G.: Formal analysis; writing—original draft; writing—review & editing; and visualization. All authors reviewed the manuscript.

Data availability

The data that support the findings of this study are openly available from the CDC’s YRBSS Data & Documentation at https://www.cdc.gov/yrbs/data/index.html.

Competing interests

The authors declare no competing interests.