Abstract
Childhood and adult adversities occur more frequently among women and persons of colour, possibly influencing racial/ethnic disparities in substance use behaviours. This study investigates how childhood and adult adversities cluster together by race/ethnicity and how these clusters predict binge drinking, tobacco, e-cigarette, and marijuana use. Latent class analysis (LCA) was used in a combined sample from the 2015 to 2018 Minnesota College Student Health Survey to identify clusters of childhood and adult adversities among Asian, Black, Latina, and White women aged 18–25. Each substance use outcome was regressed on each adversity cluster across each race/ethnicity group. Across all racial/ethnic groups and substance use outcomes, the high adversity cluster exhibited the greatest risk. Significant racial/ethnic disparities were observed across several substance use behaviours; these were attenuated among women with fewer adversities. The reduced substance use disparities found among those with lower adversities suggest that prevention of adversities may advance health equity.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3-14 |
| Number of pages | 12 |
| Journal | International Journal of Injury Control and Safety Promotion |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2022 |
Bibliographical note
Publisher Copyright:© 2021 Informa UK Limited, trading as Taylor & Francis Group.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Keywords
- adverse childhood experiences (ACEs)
- alcohol
- latent class analysis
- race/ethnicity
- substance use
- women
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