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Cited by 1,362Substance Abuse Treatment and OutcomesAlcohol Consumption and Health EffectsMental Health Treatment and Access

The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.

Prevalence of 12-Month Alcohol Use, High-Risk Drinking, and DSM-IV Alcohol Use Disorder in the United States, 2001-2002 to 2012-2013: Results From the National Epidemiologic Survey on Alcohol and Related Conditions

Open access
Grant, Bridget F., Chou, S. Patricia, Saha, Tulshi D., Pickering, Roger P., Kerridge, Bradley T., Ruan, W. June, Huang, Boji, Jung, Jeesun, Zhang, Haitao, Fan, Amy, Hasin, Deborah S.·2017·JAMA Psychiatry
DOI 10.1001/jamapsychiatry.2017.2161PMC PMC5710229
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Abstract

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.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Between 2001-2002 and 2012-2013, 12-month alcohol use, high-risk drinking, and DSM-IV alcohol use disorder (AUD) increased significantly in the US adult population. Increases were greatest among women, older adults, racial/ethnic minorities, and the socioeconomically disadvantaged.

Key findings

  • 12-month alcohol use rose from 65.4% to 72.7% (relative increase, 11.2%); high-risk drinking rose from 9.7% to 12.6% (29.9%); DSM-IV AUD rose from 8.5% to 12.7% (49.4%).
  • Among 12-month alcohol users, DSM-IV AUD increased from 12.9% to 17.5% (35.7%); among 12-month high-risk drinkers, DSM-IV AUD increased from 46.5% to 54.5% (17.2%).
  • Increases were significant across most sociodemographic subgroups, with notable rises among women (AUD +83.7%), adults aged ≥65 years (AUD +106.7%), black individuals (AUD +92.8%), and those with lower education or family income.

Methods

  • Repeated cross-sectional analysis of two nationally representative face-to-face US adult surveys: NESARC 2001-2002 (n = 43,093) and NESARC-III 2012-2013 (n = 36,309).
  • Outcomes were 12-month alcohol use, high-risk drinking (exceeding daily drinking limits at least weekly), and DSM-IV AUD, assessed with AUDADIS-IV/AUDADIS-5.
  • Weighted cross-tabulations estimated prevalences; SUDAAN was used for complex survey design, and 2-sided t tests compared survey estimates (P < .05).

Limitations

  • Stated: NESARC and NESARC-III lacked biological testing for substance use; homeless and incarcerated populations were not covered, potentially underestimating outcomes; AUDADIS interviewers were not clinicians, though a validation substudy showed similar prevalence and good concordance; NESARC-III response rate was acceptable (60.1%) but lower than NESARC (81.0%), with weighting to compensate for nonresponse.
  • Stated: three AUD items were slightly reworded and three additional abuse questions appeared in NESARC-III, but the paper reports near-perfect concordance with and without the additional questions (κ = 0.97 for NESARC and κ = 0.98 for NESARC-III).
  • Evident from the design: repeated cross-sectional surveys cannot establish causality, and alcohol measures rely on self-report.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1001/jamapsychiatry.2017.2161

Cites

136 of 136 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

Show all 20 claims

  • It may state two separate claims as one. 21
  • Probably not a substantial claim. 13
28 of 28

  • The paper relies on this without support.

    There is a lack of current and comprehensive trend data derived from a uniform source on alcohol use, high-risk drinking, and DSM-IV alcohol use disorder since the early 2000s, representing a major gap in public health information.

    “Lack of current and comprehensive trend data derived from a uniform source on alcohol use, high-risk drinking, and DSM-IV AUD since the early 2000s represents a major gap in public health information.”

  • The paper relies on this without support.

    Between the early 1990s and the early 2000s, 12-month alcohol consumption increased from 44.0% to 65.4%, 12-month high-risk drinking increased from approximately 8.0% to 9.7%, and DSM-IV alcohol use disorder increased from 7.4% to 8.5%.

    “Between the early 1990s and the early 2000s, 12-month alcohol consumption increased from 44.0% to 65.4%, 12-month high-risk drinking increased from approximately 8.0% to 9.7%, and DSM-IV AUD increased from 7.4% to 8.5%.”

  • The paper relies on this without support.

    High-risk drinking and alcohol use disorder are important risk factors for morbidity and mortality from various chronic diseases and injuries.

    “High-risk drinking and AUD are important risk factors for morbidity and mortality from fetal alcohol spectrum disorders, hypertension, cardiovascular diseases, stroke, liver cirrhosis, several types of cancer and infections, pancreatitis, type 2 diabetes, and various injuries.”

  • The paper relies on this without support.

    Older adults have had consistently lower rates than others of alcohol use, high-risk drinking, and alcohol use disorder over the past 40 years.

    “Older adults have had consistently lower rates than others of alcohol use, high-risk drinking, and AUD over the past 40 years.”

  • The paper relies on this without support.

    Treatment rates for alcohol use disorder remain low (less than 10%) despite the significant rise in high-risk drinking and alcohol use disorder and the existence of a broad spectrum of evidence-based and effective behavioral and pharmacological approaches.

    “Treatment rates for AUD remain low (<10%) despite the significant rise in high-risk drinking and AUD and the existence of a broad spectrum of evidence-based and effective behavioral and pharmacological approaches.”

  • The paper relies on this without support.

    The older adult population will increase from 40 million in 2010 to 80 million in 2030.

    “the projected increase in the size of this segment of the population (from 40 million in 2010 to 80 million in 2030)”

  • The paper relies on this without support.

    Wealth inequality between minorities and whites has widened during and after the 2008 recession.

    “Wealth inequality between minorities and whites has widened during and after the 2008 recession”

  • The paper relies on this without support.

    Adversities that disproportionately affect racial/ethnic minorities include family income and educational disparities, unemployment, residential segregation, discrimination, decreased access to health care, and increased stigma associated with drinking.

    “Adversities that disproportionately affect racial/ethnic minorities include family income and educational disparities, unemployment, residential segregation, discrimination, decreased access to health care, and increased stigma associated with drinking.”
8 of 8

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • 2001-2002 confidence interval is not centered on its estimate

    Minor

    The reported 95% CI for AUD among alcohol users runs from 12.3% to 17.5%, whose midpoint is 14.9%, not the reported estimate of 12.9%. Unlike the other intervals in the table, its upper bound is far farther from the estimate than its lower bound, suggesting an erroneous bound.

    Reported 12.9 · recomputed 14.9

  • Earlier comparison is dated to the 1900s instead of the 1990s

    Minor

    The discussion places the earlier increases between the early 1900s and early 2000s, while the introduction identifies the period for those same increases as the early 1990s to early 2000s.

  • NESARC-III overall response rate has two values

    Minor

    The methods report a 60.0% overall response rate for NESARC-III, but the limitations section reports 60.1% for the same survey. The values differ at the precision printed.

3 of 3

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 29

  1. [39]World Health Organization Global Status Report on Alcohol and Health. Geneva, Switzerland: World Health Organization; 2011. [Google Scholar]
  2. [50]American Psychiatric Association Diagnostic and Statistical Manual of Mental Disorders. 4th ed Washington, DC: American Psychiatric Association; 1994. [Google Scholar]
  3. [51]Grant BF, Moore TC, Shepard J, Kaplan K. Source and Accuracy Statement: Wave 1 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism; 2003. [Google Scholar]
  4. [52]Grant BF, Amsbary M, Chu A, et al. Source and Accuracy Statement: National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III). Rockville, MD: National Institute on Alcohol Abuse and Alcoholism; 2014. [Google Scholar]
  5. [54]Substance Abuse and Mental Health Services Administration Results From the 2012 National Survey on Drug Use and Health: Summary of National Findings, Appendix B: Statistical Methods and Measurement. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2012. [Google Scholar]
  6. [55]US Census Bureau American Community Survey, 2012. Suitland, MD: US Census Bureau ; 2013. [Google Scholar]
  7. [56]US Census Bureau Decennial Census, 2000. Suitland, MD: US Census Bureau; 2000. [Google Scholar]
  8. [57]Grant BF, Dawson DA, Hasin DS. The Alcohol Use Disorder and Associated Disabilities Interview Schedule–DSM-IV Version. Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism; 2001. [Google Scholar]
  9. [59]United States Department of Agriculture Dietary Guidelines–Alcohol. Washington, DC: US Dept of Agriculture; 2014. [Google Scholar]
  10. [60]United States Department of Health and Human Services 2015-2020 Dietary Guidelines. Washington, DC: US Dept of Health and Human Services; 2014. [Google Scholar]
  11. [72]SUDAAN [computer program]. Version 11. Research Triangle Park, NC: Research Triangle Institute; 2012. [Google Scholar]
  12. [74]Centers for Disease Control and Prevention Health Behaviors of Adults, 1999-2001. Hyattsville, MD: Centers for Disease Control and Prevention; 2004. [Google Scholar]
  13. [75]Centers for Disease Control and Prevention Health Behaviors of Adults, 2011-2014. Hyattsville, MD: Centers for Disease Control and Prevention; 2016. [Google Scholar]
  14. [76]Substance Abuse and Mental Health Services Administration National Survey on Drug Use and Health, Detailed Data Tables, 2000-2002. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2005. [Google Scholar]
  15. [78]Centers for Disease Control and Prevention Percentage of Adults Aged 18 and Over Who Had Five or More Drinks in 1 Day at Least Once in the Past Year: United States; 1997-June 2013. Hyattsville, MD: Centers for Disease Control and Prevention; 2013. [Google Scholar]
  16. [79]Haughwout SP. Apparent Per Capita Alcohol Consumption: National, State and Regional Trends, 1977-2014. Bethesda, MD: National Institutes of Health; 2016. [Google Scholar]
  17. [85]Yoon YH, Chen CM. Liver Cirrhosis Mortality in the United States: National, State, and Regional Trends, 2000-2013. Rockville, MD: National Institute on Alcohol Abuse and Alcoholism; 2016. [Google Scholar]
  18. [86]Centers for Disease Control and Prevention Diabetes Surveillance System. Atlanta, GA: Centers for Disease Control and Prevention; 2016. [Google Scholar]
  19. [91]Wilson FA, Stimpson JP, Tibbits MK. Accident analysis and prevention. Accid Anal Prev. 2013;60:189-192. [DOI] [PubMed] [Google Scholar]
  20. [100]Inglehardt R. Cultural Shift in Advanced Industrial Society. Princeton, NJ: Princeton University Press; 1990. [Google Scholar]
  21. [102]Bureau of Labor Statistics Women in the Labor Force: A Databook. Washington, DC: Bureau of Labor Statistics; 2015. [Google Scholar]
  22. [109]National Institute on Alcohol Abuse and Alcoholism Alcohol: A Women’s Health Issue. Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism; 2015. [Google Scholar]
  23. [115]Stevens JA, Rudd RA. Circumstances and contributing causes of fall deaths among persons aged 65 and older: United States, 2010. J Am Geriatr Soc. 2014;62(3):470-475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. [117]Qato DM, Manzoor BS, Lee TA. Drug-alcohol interactions in older US adults. J Am Geriatr Soc. 2015;63(11):2324-2331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. [121]Ortman JM, Velkoff VA, Hogan H. An Aging Nation: The Older Population in the United States. Hyattsville, MD: US Census Bureau; 2014. [Google Scholar]
  26. [123]Kochhar R, Fry R, Taylor P. Wealth Gaps Rise to Record Highs Between Whites, Blacks, Hispanics: Twenty-to-One. Washington, DC: Pew Research Center; 2017. [Google Scholar]
  27. [124]Kochhar R, Fry R. Wealth Inequality Has Widened Along Racial, Ethnic Lines Since End of Great Recession. Washington, DC: Pew Research Center; 2017. [Google Scholar]
  28. [157]Greenfield SF, Grella CE. What is “women-focused” treatment for substance use disorders? Psychiatr Serv. 2009;60(7):880-882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. [160]Substance Abuse and Mental Health Services Administration; Office of the Surgeon General. Facing Addiction in America: The Surgeon General’s Report on Alcohol, Drugs, and Health. Washington, DC: US Dept of Health and Human Services; 2016. Reports of the Surgeon General. [PubMed] [Google Scholar]

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Metadata

Authors
Grant, B. F., Chou, S. P., Saha, T. D., Pickering, R. P., Kerridge, B. T., Ruan, W. J., Huang, B., Jung, J., Zhang, H., Fan, A., & Hasin, D. S.
Affiliations
  • National Institute on Alcohol Abuse and Alcoholism (US)
  • New York State Psychiatric Institute (US)
Corresponding author
Grant, Bridget F.
ORCID
Venue
JAMA Psychiatry
Publisher
American Medical Association (AMA)
Published
2017-09-01
Volume
74
Issue
9
Pages
911
ISSN
2168-622X (ISSN-L)
DOI
10.1001/jamapsychiatry.2017.2161
PMC
PMC5710229
OpenAlex
W2744192774
Semantic Scholar
192ff84504ad4a8617e96051ed59a8e9ec69c9d8
Cited by
1,362
References
136
Citations by year
2026: 87 · 2025: 128 · 2024: 156 · 2023: 146 · 2022: 193 · 2021: 192 · 2020: 182 · 2019: 166 · 2018: 101 · 2017: 11
FWCI
98.55
Type
journal article
Language
en
Open access
Locations
  • JAMA Psychiatry (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Alcohol Abuse and Alcoholism (K05AA014223)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
  • Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
Keywords
alcohol use prevalence, hazardous drinking, alcoholism, temporal trends, NESARC, binge drinking, alcohol-related problems, United States adults, 12-month prevalence
MeSH terms
Adolescent, Adult, Age Factors, Aged, Alcohol Drinking, Educational Status, Ethnicity, Female, Health Surveys, Humans, Income, Male, Middle Aged, Risk-Taking, Sex Factors, United States, Prevalence, Alcohol-Related Disorders, Diagnostic and Statistical Manual of Mental Disorders, Young Adult

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