Importance: Lack of current and comprehensive trend data derived from a uniform, reliable, and valid source on alcohol use, high-risk drinking, and DSM-IV alcohol use disorder (AUD) represents a major gap in public health information.
Objective: To present nationally representative data on changes in the prevalences of 12-month alcohol use, 12-month high-risk drinking, 12-month DSM-IV AUD, 12-month DSM-IV AUD among 12-month alcohol users, and 12-month DSM-IV AUD among 12-month high-risk drinkers between 2001-2002 and 2012-2013.
Design, Setting, And Participants: The study data were derived from face-to-face interviews conducted in 2 nationally representative surveys of US adults: the National Epidemiologic Survey on Alcohol and Related Conditions, with data collected from April 2001 to June 2002, and the National Epidemiologic Survey on Alcohol and Related Conditions III, with data collected from April 2012 to June 2013. Data were analyzed in November and December 2016.
Main Outcomes And Measures: Twelve-month alcohol use, high-risk drinking, and DSM-IV AUD.
Results: The study sample included 43 093 participants in the National Epidemiologic Survey on Alcohol and Related Conditions and 36 309 participants in the National Epidemiologic Survey on Alcohol and Related Conditions III. Between 2001-2002 and 2012-2013, 12-month alcohol use, high-risk drinking, and DSM-IV AUD increased by 11.2%, 29.9%, and 49.4%, respectively, with alcohol use increasing from 65.4% (95% CI, 64.3%-66.6%) to 72.7% (95% CI, 71.4%-73.9%), high-risk drinking increasing from 9.7% (95% CI, 9.3%-10.2%) to 12.6% (95% CI, 12.0%-13.2%), and DSM-IV AUD increasing from 8.5% (95% CI, 8.0%-8.9%) to 12.7% (95% CI, 12.1%-13.3%). With few exceptions, increases in alcohol use, high-risk drinking, and DSM-IV AUD between 2001-2002 and 2012-2013 were also statistically significant across sociodemographic subgroups. Increases in all of these outcomes were greatest among women, older adults, racial/ethnic minorities, and individuals with lower educational level and family income. Increases were also seen for the total sample and most sociodemographic subgroups for the prevalences of 12-month DSM-IV AUD among 12-month alcohol users from 12.9% (95% CI, 12.3%-17.5%) to 17.5% (95% CI, 16.7%-18.3%) and 12-month DSM-IV AUD among 12-month high-risk drinkers from 46.5% (95% CI, 44.3%-48.7%) to 54.5% (95% CI, 52.7%-56.4%).
Conclusions And Relevance: Increases in alcohol use, high-risk drinking, and DSM-IV AUD in the US population and among subgroups, especially women, older adults, racial/ethnic minorities, and the socioeconomically disadvantaged, constitute a public health crisis. Taken together, these findings portend increases in many chronic comorbidities in which alcohol use has a substantial role.
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http://dx.doi.org/10.1001/jamapsychiatry.2017.2161 | DOI Listing |
JMIR Res Protoc
December 2024
Center for Alcohol and Addiction Studies, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University,, Brown University, Providence, RI, United States.
Background: Caregiver-involved treatments for adolescents with alcohol use disorder and co-occurring disorders (AUD+CODs) are associated with the best treatment outcomes. Understanding what caregiving practices during treatment improve core adolescent treatment targets may facilitate the refinement and scalability of caregiver-involved interventions. Caregiving is dynamic, varying by context, affect, and adolescent behavior.
View Article and Find Full Text PDFAlcohol Alcohol
November 2024
Alcohol Research Group, Public Health Institute, 6001 Shellmound Ave, Suite 450, Emeryville, CA 94608, United States.
Aims: The COVID-19 pandemic increased alcohol consumption in the USA as a result of widespread individual changes in drinking patterns. Few studies have utilized longitudinal data allowing the prediction of increased or decreased drinking from COVID-19 economic, social, and health impacts.
Methods: Data are from 1819 respondents in the 2019-20 National Alcohol Survey and a one-year follow-up in early 2021.
Background: Few individuals with alcohol use disorder (AUD) receive treatment. Previous studies have shown drinking behavior, psychological problems, and substance dependence to predict treatment seeking. However, to date, no studies have incorporated polygenic scores (PGS), a measure of genetic risk for AUD.
View Article and Find Full Text PDFSubst Use Addctn J
November 2024
Department of Computer Science, Brown University, Providence, RI, USA.
Background/significance: Alcohol use carries significant morbidity and mortality, yet accurate identification of alcohol use disorder (AUD) remains a multi-layered problem for both researchers and clinicians.
Objective: To fine-tune a language model to AUD in the clinical narrative and to detect AUDs not accounted for by ICD-9 coding in the MIMIC-III database.
Materials And Methods: We applied clinicalBERT to unique patient discharge summaries.
J Consult Clin Psychol
August 2024
School of Social Work, University at Buffalo.
Objective: Negative affect and affect variability figure prominently in models of addictive behaviors but are not without controversy. Negative affect variability may better capture a mechanism of behavior change in alcohol use disorder (AUD) treatment because it contains information about affect regulation, a common clinical target. The aims of this study are to examine the change in: (a) trajectory of negative affect variability, (b) association of negative affect variability and abstinence, and (c) association of negative affect variability and heavy drinking during AUD treatment.
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