Adolescent Health Risk Behaviors Research Articles

Role of polygenic risk scores in the association between chronotype and health risk behaviors

BackgroundThis study explores the association between chronotypes and adolescent health risk behaviors (HRBs) by testing how genetic background moderates these associations and clarifies the influence of chronotypes and polygenic risk score (PRS) on adolescent HRBs.MethodsUsing VOS-viewer software to select the corresponding data, this study used knowledge domain mapping to identify and develop the research direction with respect to adolescent risk factor type. Next, DNA samples from 264 students were collected for low-depth whole-genome sequencing. The sequencing detected HRB risk loci, 49 single nucleotide polymorphisms based to significant SNP. Subsequently, PRSs were assessed and divided into low, moderate, and high genetic risk according to the tertiles and chronotypes and interaction models were constructed to evaluate the association of interaction effect and clustering of adolescent HRBs. The chronotypes and the association between CLOCK-PRS and HRBs were examined to explore the association between chronotypes and mental health and circadian CLOCK-PRS and HRBs.ResultsFour prominent areas were displayed by clustering information fields in network and density visualization modes in VOS-viewer. The total score of evening chronotypes correlated with high-level clustering of HRBs in adolescents, co-occurrence, and mental health, and the difference was statistically significant. After controlling covariates, the results remained consistent. Three-way interactions between chronotype, age, and mental health were observed, and the differences were statistically significant. CLOCK-PRS was constructed to identify genetic susceptibility to the clustering of HRBs. The interaction of evening chronotypes and high genetic risk CLOCK-PRS was positively correlated with high-level clustering of HRBs and HRB co-occurrence in adolescents, and the difference was statistically significant. The interaction between the sub-dimensions of evening chronotypes and the high genetic CLOCK-PRS risk correlated with the outcome of the clustering of HRBs and HRB co-occurrence.ConclusionsThe interaction of PRS and chronotype and the HRBs in adolescents appear to have an association, and the three-way interaction between the CLOCK-PRS, chronotype, and mental health plays important roles for HRBs in adolescents.

Retracted: Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior

Retracted: Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior

Health-risk behaviors and peer pressure of adolescents in the child protective services in Türkiye: A cross-sectional study.

This study was carried out to investigate the health-risk behaviors and peer pressure of adolescents aged 12-18 years in need of protection at child protective services. The data of this cross-sectional study were collected using individual interviews with 85 adolescents living in child homes and child homes buildings complex between February 25 and May 31, 2019. The data were collected using the "Descriptive Information Form," the "Health-Risk Behaviors Questionnaire," and the "Peer Pressure Questionnaire." The results of study in adolescents were 34.1% were in the risk group in terms of weight, and 41.2% had a psychiatric problem. Among the health-risk behaviors of adolescents; 56.5% did not pay attention to daily nutrition, 51.8% had fast food every day, 54.1% injury behaviors were doing dangerous sports, only 15.3% wore seat belts, 78.8% did not exercise three or more days per week, 38.8% watched television and computer three or more hours per day, 27.1% used painkillers without consulting a doctor, 24.7% applied the health recommendations they read on the internet, 20.0% of the adolescents reported that they went on a diet without consulting the healthcare personnel, and 14.1% voluntary vomited to lose or maintain their weight. And 21.2% of the adolescents were exposed to peer pressure. It was concluded that adolescents in need of protection at child protective services have health-risk behaviors and low-level peer pressure.

Methodology of National Health and Morbidity Study (NHMS): Adolescent Health, Malaysia 2022

Introduction: In Malaysia, the adolescent health studies conducted in 2012 and 2017 revealed an increasing trend of adolescent health risk behaviours and protective factors. This current study aims to determine health risk behaviours and protective factors among adolescents in the country. Methods: The current nationwide cross-sectional study of Malaysian secondary school students used multistage stratified sampling to select 240 nationally representative schools. This study was conducted from June to July 2022 among the students in forms 1, 2, 3, 4, and 5 in all Malaysian states by 34 data collection teams. A validated self-administered questionnaire was used, similar to those used in the NHMS 2012 and NHMS 2017. The quality control was done twice, once at the field level and once at the central level. Sample weighting and analysis were conducted using SPSS statistical software version 28.0. Results: A total of 239 schools out of 240 schools took part in the study (response rate, 99.6%) and total of 33,523 students were involved in this study (response rate, 89.4%). In terms of ethnicity, the highest number of students who participated in the study were Malay (63.0%), followed by Chinese (18.1%) and Indian (6.0 %). While the distribution of sex and form among the students were almost the same. Conclusion: To obtain an accurate representation of the nation's adolescent population for this study, samples from public and private schools that are governed by the Ministries of Education and Rural and Regional Development were deemed to be the most reliable. Keywords: Adolescent - NHMS - Methodology - Malaysia

Risk-related brain activation is linked to longitudinal changes in adolescent health risk behaviors

Middle adolescence is the period of development during which youth begin to engage in health risk behaviors such as delinquent behavior and substance use. A promising mechanism for guiding adolescents away from risky choices is the extent to which adolescents are sensitive to the likelihood of receiving valued outcomes. Few studies have examined longitudinal change in adolescent risky decision making and its neural correlates. To this end, the present longitudinal three-wave study (Nw1 = 157, Mw1= 13.50 years; Nw2 = 148, Mw2= 14.52 years; Nw3 = 143, Mw3= 15.55 years) investigated the ontogeny of mid-adolescent behavioral and neural risk sensitivity, and their baseline relations to longitudinal self-reported health risk behaviors. Results showed that adolescents became more sensitive to risk both in behavior and the brain during middle adolescence. Across three years, we observed lower risk-taking and greater risk-related activation in the bilateral insular cortex. When examining how baseline levels of risk sensitivity were related to longitudinal changes in real-life health risk behaviors, we found that Wave 1 insular activity was related to increases in self-reported health risk behaviors over the three years. This research highlights the normative maturation of risk-related processes at the behavioral and neural levels during mid-adolescence.

Biopsychosocial Factors of Adolescent Health Risk Behaviours during the COVID-19 Pandemic—Insights from an Empirical Study

Biopsychosocial Factors of Adolescent Health Risk Behaviours during the COVID-19 Pandemic—Insights from an Empirical Study

Association Between Comorbid Anxiety and Depression and Health Risk Behaviors Among Chinese Adolescents: Cross-Sectional Questionnaire Study.

Comorbidity of psychiatric disorders such as depression and anxiety is very common among children and adolescents. Few studies have examined how comorbid anxiety and depression are associated with health risk behaviors (HRBs) in adolescents, which could inform preventative approaches for mental health. We evaluated the association between HRBs and comorbid anxiety and depression in a large adolescent cohort. We used data from 22,868 adolescents in the National Youth Cohort (China). Anxiety and depression symptoms were assessed using the 9-item Patient Health Questionnaire scale and the 7-item Generalized Anxiety Disorder scale, respectively. Comorbidity was determined by the coexistence of anxiety and depression. HRBs including poor diet, smoking, physical inactivity, and poor sleep, as well as the above HRB scores, were added to obtain the total HRB score (HRB risk index). Based on single and total HRB scores, we divided participants into low-, medium-, and high-risk groups. Potential confounders included gender, presence of siblings, regional economic level, educational status, self-rated health, parental education level, self-reported family income, number of friends, learning burden, and family history of psychosis. Correlation analysis was used to explore associations between single risk behaviors. Binary logistic regression estimated the association between HRBs and anxiety-depression comorbidity before and after adjusting for potential confounders. The comorbidity rate of anxiety and depression among Chinese adolescents was 31.6% (7236/22,868). There was a statistically significant association between each HRB (P<.05), and HRBs were positively associated with comorbid anxiety and depression in the above population. For single HRBs, adolescents with poor diet, smoking, and poor sleep (medium-risk) were more prone to anxiety-depression comorbidity after adjusting for confounders compared to low-risk adolescents. However, adolescents with all high-risk HRBs were more likely to have comorbid anxiety and depression after adjusting for confounders (poor diet odds ratio [OR] 1.50, 95% CI 1.39-1.62; smoking OR 2.17, 95% CI 1.67-2.81; physical inactivity OR 1.16, 95% CI 1.06-1.28; poor sleep OR 1.84, 95% CI 1.70-2.01). Moreover, in both unadjusted (medium risk OR 1.79, 95% CI 1.56-2.05; high risk OR 3.09, 95% CI 2.72-3.52) and adjusted (medium risk OR 1.57, 95% CI 1.37-1.80; high risk OR 2.33, 95% CI 2.03-2.68) models, HRB risk index, like clustered HRBs, was positively associated with anxiety-depression comorbidity, and the strength of the association was stronger than for any single HRB. In addition, we found that compared to girls, the association between clustered HRBs and anxiety-depression comorbidity was stronger in boys after adjustment. We provide evidence that HRBs are related to comorbid anxiety and depression. Interventions that decrease HRBs may support mental health development in adolescence, with the potential to improve health and well-being through to adulthood.

Association of health-risk behaviors with perceived academic performance among middle and high school students: A cross-sectional study in Shanghai, China.

Adolescence is a susceptible period to establish health-risk behaviors, which may have an impact on academic performance. The aim of this study was to investigate the association between health-risk behaviors (HRBs) and perceived academic performance (PAP) of adolescents in Shanghai, China. The data of the present study included three-round Shanghai Youth Health-risk Behavior Survey (SYHBS). This cross-sectional survey investigated multiple HRBs of students involved in dietary behaviors, physical activity and sedentary behaviors, intentional and unintentional injury behaviors, and substance abuse behaviors, as well as PAP by using self-reported questionnaire. Using a multistage random sampling method, 40,593 middle and high school students aged 12 to 18 years were involved. Only participants with complete data on HRBs information, academic performance and covariates were included. A total of 35,740 participants were involved in analysis. We used ordinal logistic regression to analyze the association between each HRB and PAP adjusting for sociodemographic, family environment and duration of extracurricular study. The results showed that students who did not eat breakfast or drink milk everyday were more likely to have a lower PAP, with a decreased odds of 0.89 (95%CI: 0.86-0.93, P<0.001) and 0.82 (95%CI: 0.79-0.85, P<0.001), respectively. The similar association was also found in students who did exercise ≥60 minutes for less than 5 days/week, spend time on watch TV beyond 3 hours/day and other sedentary behaviors. Most intentional and unintentional injuries, and ever smoked were associated with a lower PAP. Our finding suggests that multiple HRBs negatively associated with PAP of adolescents. It needs to raise public health concerns with HRBs in adolescents, and to develop and implement comprehensive interventions on HRBs.

Brain Similarity as a Protective Factor in the Longitudinal Pathway Linking Household Chaos, Parenting, and Substance Use

BackgroundSocioecological factors such as family environment and parenting behaviors contribute to the development of substance use. While biobehavioral synchrony has been suggested as the foundation for resilience that can modulate environmental effects on development, the role of brain similarity that attenuates deleterious effects of environmental contexts has not been clearly understood. We tested whether parent–adolescent neural similarity—the level of pattern similarity between parent–adolescent functional brain connectivity representing the level of attunement within each dyad—moderates the longitudinal pathways in which household chaos (a stressor) predicts adolescent substance use directly and indirectly via parental monitoring. MethodsIn a sample of 70 parent–adolescent dyads, similarity in resting-state brain activity was identified using multipattern connectivity similarity estimation. Adolescents and parents reported on household chaos and parental monitoring, and adolescent substance use was assessed at a 1-year follow-up. ResultsThe moderated mediation model indicated that for adolescents with low neural similarity, but not high neural similarity, greater household chaos predicted higher substance use over time directly and indirectly via lower parental monitoring. Our data also indicated differential susceptibility in the overall association between household chaos and substance use: Adolescents with low neural similarity exhibited high substance use under high household chaos but low substance use under low household chaos. ConclusionsNeural similarity acts as a protective factor such that the detrimental effects of suboptimal family environment and parenting behaviors on the development of adolescent health risk behaviors may be attenuated by neural similarity within parent–adolescent bonds.

DOES THE FAMILY STRUCTURE AFFECT THE HEALTH RISK BEHAVIOR OF ADOLESCENTS IN BRAZIL?

The purpose of this study is to estimate the effect of family structure on the risky behavior of Brazilian adolescents and to analyze the effect according to the levels of education (elementary school and high school). This analysis uses data from the PeNSE (National Student’s Health Survey) of 2015 which provides information about health behaviors among 13 to 17 years old Brazilian students. The sample is subdivided in Elementary School and High School. Estimations were made using the propensity score matching method (PSM) and the risky behaviors considered for the estimation were: consumption of alcohol, cigarettes, and illicit drugs. Thus, the results suggest that being raised in a disruptive family has negatively affects the health risk behavior of adolescents when analyzed by the issue of substance use, mainly when it comes to the consumption of alcohol and cigarettes.

Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences

PurposeAdolescents exposed to adverse childhood experiences (ACEs) are at increased risk for health-compromising behaviors. However, few studies have investigated how ACEs correlate with patterns of health risk behaviors (HRBs) during adolescence, a crucial developmental period. The aim was to extend the current knowledge about the relationship between ACEs and HRB patterns among adolescents, and to explore gender differences.MethodsA multi-centered population-based survey was conducted in 24 middle schools in three provinces across China between 2020 and 2021. A total of 16,853 adolescents effectively completed anonymous questionnaires covering exposure to eight ACE categories and 11 HRBs. Clusters were identified using latent class analysis. Logistic regression models were utilized to test the association between them.ResultsThere were four classes of HRB patterns: “Low all” (58.35%), “Unhealthy lifestyle” (18.23%), “Self-harm” (18.42%), and “High all” (5.0%). There were significant differences between HRB patterns in terms of the different numbers and types of ACEs in three logistic regression models. Specifically, compared to “Low all,” different types of ACEs were positively associated with the three other HRB patterns, and there were significant trends toward increase in the three latent classes of HRBs with higher ACEs. In general, females with ACEs had a higher risk of “High all” except sexual abuse than males.ConclusionOur study comprehensively considers the association between ACEs and aggregation categories of HRBs. The results support efforts to improve clinical healthcare, and future work may explore protective factors based on individual, family, and peer education to mitigate the negative trajectory of ACEs.

Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors.

Adolescents are prone to multiple health risk behaviors. These might lead to insufficient sleep, which is inconducive to adolescent growth. Therefore, this study explored the impact of a cluster of adolescent health risk behaviors on sleep time, providing a reference for designing relevant intervention measures. From November to December 2019, a stratified cluster sampling method was used to sample middle and high schools in 4 functional districts of Chongqing, China. A total of 8546 participants were selected for a questionnaire survey. Two-step clustering helped identify the health risk behavior clusters. Multivariate logistic regression models helped examine the association between the different clusters and sleep time. The rate of insufficient sleep was 65.8%. Three types of clusters were identified, namely (1) high-risk (poor) cluster (17.3%), (2) low physical activity (medium) cluster (55.1%), and (3) low-risk (good) cluster (27.6%). The high-risk and low physical activity clusters showed that the adjusted OR values of 1.471 (1.266-1.710) and 1.174 (1.052-1.310) were significantly associated with insufficient sleep (P < .001). Adolescent health risk behaviors were clustered, and different clusters had different sleep time. Schools authorities and healthcare practitioners should formulate effective intervention measures according to the characteristics of different clusters to promote healthy growth among adolescents.

The intersection of neighborhood and race in urban adolescent health risk behaviors.

Racial variability in associations of neighborhood socioeconomic disadvantage and neighborhood disorder with adolescent health risk behaviors remains under-researched, which this study examined over 1 year among racially diverse adolescents. High school students (N = 345; 18% Asian, 44% Black, 16% Multiracial, 22% White) completed surveys assessing neighborhood socioeconomic disadvantage and neighborhood disorder, and health risk behaviors (lifetime alcohol, cannabis, and cigarette use, number of sexual partners) at baseline (Year 1) and 1-year follow-up (Year 2). Asian, Black, and Multiracial adolescents were more likely to endorse health risk behaviors in Year 2 compared to White adolescents living in similarly disadvantaged neighborhoods at Year 1. Associations of neighborhood disorder with health risk behavior did not differ by race. Neighborhood socioeconomic disadvantage (but not neighborhood disorder) may predispose Asian, Black, and Multiracial adolescents to health risk behaviors. Findings may inform interventions to address racial disparities in adolescent health risk behaviors.

Factors Associated with Early Sexual Activity in Adolescents Residing in an Urban Area of Northeastern Mexico Who Use WhatsApp or Facebook.

Early sexual activity has been associated with unplanned pregnancy and sexually transmitted infections. In recent decades, the prevalence of early sexual activity and social media use has increased. However, the relationship between these variables has been little studied. Consequently, we examined the relationships of some factors present in the family and personal environment with early sexual activity in adolescents who use and do not use the WhatsApp and Facebook platforms. Through a cross-sectional study, data from 1328 adolescents aged 13 to 19years were analyzed. Data collection was carried out using a self-administered questionnaire. Of the total participants, 35.7% reported early sexual activity, and 37.7% reported using social networks such as WhatsApp and Facebook. The mean age of onset of sexual activity was 15.59 ± 1.56years. Multivariate logistic regression analysis showed significant associations of not studying (adjusted OR 4.70; CI 95% 1.31-16.78), consuming alcohol (adjusted OR 3.71; CI 95% 2.44-5.65) and having parents who consumed alcoholic beverages in the home (adjusted OR 1.48; 95% CI 1.03-2.12) with ESA. In the family and personal environment, some factors favored early sexual activity in young people who used the WhatsApp and Facebook applications. This information should be used by authorities in the health and education sectors to strengthen preventive programs targeting health risk habits and behaviors in adolescents.

Body Weight Dissatisfaction and Health Risk Behaviors in Adolescents.

Body weight dissatisfaction has been described as a marker for various health diseases, given its direct association with social, physical, and emotional suffering. We investigated the association between body weight dissatisfaction and health risk behaviors in adolescents. This was a cross-sectional study conducted with 668 adolescents aged 14-19years in the city of São José, southern Brazil. Body weight satisfaction/dissatisfaction was assessed using a questionnaire validated for the investigated population. Health risk behaviors included smoking, alcohol, illicit drugs, medication, non-prescription anabolic steroids, not using seatbelt, unsafe sexual behavior and not knowing how to deal with day-to-day stress. Among males, 66.1% were dissatisfied with their body weight (32.1% due to thinness and 34.0% due to overweight). Among females, 80.0% were dissatisfied with their body weight (24.5% due to thinness and 55.5% due to overweight). There were no significant differences regarding health risk behaviors according to body weight satisfaction/dissatisfaction and sex. Compared to males who were satisfied with their body weight, those who were dissatisfied due to being overweight were more likely to be using tobacco (OR: 2.9; 95% CI: 2.1-4.2), alcohol (OR: 1.7; 95% CI: 1.5-1.9) and anabolic steroids (OR: 2.7; 95% CI: 1.2-5.7). Compared to females who were satisfied with their body weight, those who were dissatisfied due to thinness were more likely to be consuming alcoholic beverages (OR: 1.6; 95% CI: 1.2-2.0) and less likely to be consuming illicit drugs (OR: 0.5; 95% CI: 0.3-0.8). Interventions aimed at health education regarding the non-adoption of risk behaviors such as alcohol and tobacco use, as well as the non-use of anabolic steroids, and favoring the maintenance of general health, may be important for adolescents with body dissatisfaction. These data suggest that health risk behaviors such as adolescent male use of tobacco, alcohol, and anabolic steroids and the use of alcohol and drugs by female adolescents can be related to body weight dissatisfaction.

The Role of Family Health in Mediating the Association between Smartphone Use and Health Risk Behaviors among Chinese Adolescent Students: A National Cross-Sectional Study.

The direct impact of smartphones on health risk behaviors of adolescent students has been verified. However, the mediating mechanisms that underly this relationship remain largely unknown. Therefore, the aim of the study is to explore the role of family health in mediating the relationship between the frequency of smartphone use and adolescent students’ health risk behaviors. A questionnaire was used to collect cross-sectional data from 693 adolescent students aged 12–18 in China and a structural equation model was analyzed. Among the nine health risk behaviors, the most frequent health risk behaviors in Chinese adolescent students were non-compliance walking behaviors (M=Mean; SD = Standard deviation) (M ± SD) (2.78 ± 1.747), eating unhygienic food (M ± SD) (2.23 ± 1.299), being subjected to physical violence (M ± SD) (2.19 ± 0.645), and leaving home (M ± SD) (2.13 ± 0.557). The SEM results showed that the adolescent students’ smartphone use had a positive impact on delaying the age of first alcohol consumption (β = 0.167, CI:0.067 0.287) and a negative impact on the non-compliance walking behaviors (β = 0.176, CI:0.011 0.266). Family health plays an indirect-only mediated role (the proportions of indirect-only mediated roles are 11.2%, 12.4%, and 11.5%) in the relationship between smartphone use and adolescent students’ partial health risk behaviors: (CI: −0.042 −0.002), (CI: −0.049 −0.005), and (CI: −0.043 −0.002). These findings provided a theoretical and practical basis for better interventions in adolescent health risk behaviors.

Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study.

We aim to investigate the status and influence factors of health risk behaviors among middle school students and explore the relationship between social support, family care, and the health risk behaviors.The study was conducted in 3 middle schools in the Fan county located in the Puyang city. Independent measures were applied to assess adolescent health risk behaviors, perceive social support, and family care. Multiple regression analysis was used to analyze the main factors that affect adolescent health risk behaviors.The total scores of health risk behaviors were 53.87 ± 9.97, and all kinds of health risk behaviors were very common. The highest score was health-compromising (2.45 ± 0.43), and the lowest score was unprotected sex behaviors (1.07 ± 0.28). Multiple regression analysis showed that sex (P < .001), grade (P < .001), parent relationships (P < .001), father’s occupation (P = .035), mother’s education level (P = .011), social support (P < .001), affection (P < .001), and growth (P = .003) were the main factors of health risk behaviors, accounting for 25.3%.The health risk behaviors among middle school students in Fan county should attract the attention of education administration, schools, and parent due to the varied influencing factors. Related interventions should be conducted to reduce the severity and frequency of adolescent health risk behaviors and protect the health and growth of adolescents. In order to better analyze the health risk behaviors of middle school students, we will incorporate more influencing factors and carry out further causal analysis in the future.

Adolescent Health Risk Behaviors, Adverse Experiences, and Self-reported Hunger: Analysis of 10 States from the 2019 Youth Risk Behavior Surveys

ABSTRACT We examined associations between adolescent self-reported hunger, health risk behaviors, and adverse experiences during the 2018–2019 school year. Youth Risk Behavior Survey data were pooled from 10 states. Prevalence ratios were calculated, and we assessed effect measure modification by sex. The prevalence of self-reported hunger was 13%. Self-reported hunger was associated with a higher prevalence of every health risk behavior/adverse experience analyzed, even after adjusting for sex, grade, and race/ethnicity. Sex did not modify associations. Findings underscore needs for longitudinal research with more robust measures of adolescent food insecurity to clarify the temporality of relationships.

Trends in Adolescent Health Risk Behaviors and Wellbeing: A 10 Year Observation from the EDIT Surveillance of Tuscany Region, Italy.

Background: The aim of this study was to evaluate the trends of prevalence of health risk behaviors (HRBs) and health conditions over a 10 year period (2008–2018) in a representative sample of adolescents of Tuscany Region, Italy. Methods: This was a repeated cross-sectional (four survey waves) study. The prevalence of 17 HRBs and health conditions were analyzed by age, sex, and socioeconomic status (SES). Results: A total of 21,943 students were surveyed. During the study period, decreases in smoking participation, cocaine use, driving under the influence of alcohol and drugs, and problem gambling were observed, while alcohol abuse and at-risk sexual behaviors remained unchanged or increased. Males resulted more frequently involved in most of the HRBs, while females more frequently reported physical inactivity, regular smoking, and not using a condom. Female participation in smoking and alcohol abuse behaviors, fruit and vegetable consumption, and bullying worsened over the study period. Smoking, poor dietary habits, physical inactivity, high distress level, and obesity were more frequently observed in low-SES students than in high-SES students. Conclusions: The findings showed different tendencies in adolescent participation in HRBs over the last decade; concerning trends in at-risk sexual behaviors and alcohol consumption and females’ risk-taking behavior on the rise require careful monitoring.

Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior.

Through school education to intervene in the behavior of adolescent health risk behaviors students and guide students to have a correct concept of quality and health, this paper uses artificial intelligence technology to mine students' body language to analyze students' behavior in quality education dance classes, so as to achieve effective intervention for AHRB students. Before the experimental study, AHRB students and normal students were mixed into groups in a ratio of not less than 1 : 18. The results of the study showed that the implementation of intervention strategies could reduce the recurrence of various risky behaviors in adolescents. When non-AHRB students and AHRB students intervene together, there will be no adverse effects on non-AHRB students.