Abstract

To determine if the clinical course of DSM-5 alcohol use disorders (AUD) in select populations of young adults (18-30 years) differed based on gender, diagnostic severity (mild, moderate, severe), and ethnicity. Native Americans (NA) and Mexican Americans (MA) (n = 1,129) were recruited from the community and completed a structured diagnostic interview. Participants with DSM-5 AUDs were compared based on gender, severity of the disorder (mild, moderate, severe), and ethnicity for differences in drinking levels, as well as the clinical course of AUD as defined by the occurrence and sequence of 36 alcohol-related life events. Seventy percent of the NA men, 64% of the NA women, 56% of the MA men, and 42% of the MA women met lifetime diagnostic criteria for a DSM-5 AUD. NA reported more alcohol-related life events and at an earlier age than MA. A high degree of similarity in the clinical course was found between men and women and between those with severe or moderate disorder, but not with those with mild disorder. NA had higher drinking levels and more alcohol problems at an earlier age than MA. A similar clinical course was seen based on gender and ethnicity in these young adults, but not based on diagnostic severity. The DSM-5 mild AUD category differs from the moderate and severe categories on drinking history, clinical course, gender, and ethnic distribution. Mild AUD may not be in the same clinical continuum as moderate and severe AUD in these populations.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.