A Longitudinal Analysis of Adolescent Substance Use, Adverse Childhood Experiences, and Health Lifestyle Towards the Development of Substance Use Disorder Outcomes Among Young Women in the United States

Date

2023

Authors

Sharmin, Sarah

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Abstract

Women's substance use disorder is a critical public health problem, as its adverse impact extends beyond the individual to intergenerational and national levels. This study aimed to determine the association between early substance use during adolescence, adverse childhood experiences, and a healthy lifestyle with the development of substance use disorders in emerging and young adulthood. This study utilized data from the nationally representative National Longitudinal Study of Adolescent to Adulthood (Add Health) dataset. Three statistical techniques were employed: binary logistic regression, latent class analysis, and discrete-time analysis. The logistic regression models found that adolescents' early substance use (OR=1.62, CI: 1.29-2.03) and adverse childhood experiences (OR=1.34, 1.09-1.64) were significantly associated with the development of substance use disorders in emerging adulthood (ages 18-26) among women. Subsequently, latent class analysis was utilized to create a latent adolescent health lifestyle class to understand its association with the development of substance use disorders in young adulthood. A discrete-time analysis technique was applied to examine the transition to substance use disorders among women from adolescence to young adulthood. Adolescents (ages 12-17) with unhealthy lifestyles, substance use, and adverse childhood experiences exhibited a higher hazard ratio (HR=2.19, CI: 1.69-2.83) for transitioning to substance use disorders compared to those with protective lifestyles and no substance use or adverse experiences in young adulthood (ages 27-32). The present study significantly contributes to the understanding of the trajectory of substance use disorder development in women from adolescence to young adulthood.

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Keywords

Binary logistic regression, Young adulthood, Latent class analysis

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Department

Applied Demography