Associations Between Gender-Specific Substance Use Patterns and Mental Health Among Adolescents in the Republic of Korea: A Latent Class Analysis.

PURPOSE

Although gender differences in adolescent substance use are complex and substance use accompanies mental health problems, most previous studies have focused on gender-specific association between single substance use and mental health. This study aimed to investigate gender-specific substance use patterns and to examine their association with mental health characteristics.

METHODS

Nationally representative data from the Korea Youth Risk Behavior Survey collected in 2018 were analyzed. To identify substance use patterns among male adolescents (n = 30,463) and female adolescents (n = 29,577), multiple-group latent class analysis was conducted using eight substance use indicators. In addition, we conducted a latent class analysis with covariates to examine the association between substance use patterns and mental health characteristics.

RESULTS

Among both gender samples, the four-class model best fit the data: nonusers (86.4%), frequent smokers (2.9%), risky drinkers (7.1%), and heavy tobacco and alcohol users with lifetime heated tobacco product use (3.6%) for male adolescents, and nonusers (89.8%), frequent smokers (0.5%), risky drinkers (8.0%), and heavy tobacco and alcohol users with a drunkenness episode (1.7%) for female adolescents. Depression, suicidal plans, and suicidal attempts predicted the latent class model for both genders. In addition, stress level predicted the latent class model for female adolescents.

CONCLUSIONS

The findings indicate that homogeneous patterns of substance use by gender are differentially associated with mental health problems. Therefore, health professionals should develop interventions tailored to gender-specific substance use patterns, taking into account the mental health characteristics of each pattern.