Evidence map›Paper›PMID 32163167›Full record

ArticleJAMA network open2020

Association of Alcohol Screening Scores With Adverse Mental Health Conditions and Substance Use Among US Adults.

Maria R Khan, Kailyn E Young, Ellen C Caniglia, David A Fiellin, Stephen A Maisto, Brandon D L Marshall, E Jennifer Edelman, Julie R Gaither, Natalie E Chichetto, Janet Tate and 5 more

Abstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Trial
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  13. Assessing incident depression among older people with and without HIV in U.S.Social psychiatry and psychiatric epidemiology · 2023
    Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Maria R KhanDepartment of Population Health, New York University School of Medicine, New York.
Kailyn E YoungDepartment of Population Health, New York University School of Medicine, New York.
Ellen C CanigliaDepartment of Population Health, New York University School of Medicine, New York.
David A FiellinDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Stephen A MaistoDepartment of Psychology, Syracuse University, Syracuse, New York.
Brandon D L MarshallBrown University School of Public Health, Providence, Rhode Island.
E Jennifer EdelmanDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Julie R GaitherDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Natalie E ChichettoDivision of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee.
Janet TateDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Kendall J BryantNational Institutes of Health, Bethesda, Maryland.
MacRegga SevereDepartment of Population Health, New York University School of Medicine, New York.
Elizabeth R StevensDepartment of Population Health, New York University School of Medicine, New York.
Amy JusticeDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Scott R BraithwaiteDepartment of Population Health, New York University School of Medicine, New York.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Institutional Career Development CoreKL2TR002245 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Julie A. Bastarache · 2017 to 2026
$9.3M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Should screening and treatment strategies for unhealthy alcohol misuse in HIV-infected persons vary with smoking, depression, and substance abuse?R01AA024706 · NIAAA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAITHWAITE, RONALD SCOTT · 2016 to 2020
$3.6M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
Consortium to improve Outcomes in HIV/AIDS, Alcohol, Aging & multi-Substance useU01AA020799 · NIAAA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAITHWAITE, RONALD SCOTT · 2011 to 2020
$2.1M
Vanderbilt SCHolars in HIV and Heart, Lung, Blood, and Sleep ReSearch (V-SCHoLARS, K12)K12HL143956 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FREIBERG, MATTHEW S, KOETHE, JOHN · 2018 to 2022
$1.6M
NCATS NIH HHS KL2 TR002245NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K12 HL143956NIAAA NIH HHS R01 AA024706NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA020799NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794
6 · The paper itself

Abstract

Importance: Alcohol screening may be associated with health outcomes that cluster with alcohol use (ie, alcohol-clustering conditions), including depression, anxiety, and use of tobacco, marijuana, and illicit drugs. Objective: To quantify the extent to which alcohol screening provides additional information regarding alcohol-clustering conditions and to compare 2 alcohol use screening tools commonly used for this purpose. Design, Setting, and Participants: This longitudinal cohort study used data from the Veterans Aging Cohort Study. Data were collected at 8 Veterans Health Administration facilities from 2003 through 2012. A total of 7510 participants were enrolled, completed a baseline survey, and were followed up. Veterans with HIV were matched with controls without HIV by age, race, sex, and site of care. Data were analyzed from January 2019 to December 2019. Exposures: The Alcohol Use Disorders Identification Test (AUDIT) and Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) were used to assess alcohol use, with 4 risk groups delineated for each test: score 0 to 7 (reference), score 8 to 15, score 16 to 19, and score 20 to 40 (maximum score) for the full AUDIT and score 0 to 3 (reference), score 4 to 5, score 6 to 7, and score 8 to 12 (maximum score) for the AUDIT-C. Main Outcomes and Measures: Alcohol-clustering conditions, including self-reported symptoms of depression and anxiety and use of tobacco, marijuana, cocaine, other stimulants, opioids, and injection drugs. Results: A total of 6431 US patients (6104 [95%] men; median age during survey years 2003-2004, 50 years [range, 28-86 years; interquartile range, 44-55 years]) receiving care in the Veterans Health Administration completed 1 or more follow-up surveys when the AUDIT was administered and were included in the present analyses. Of the male participants, 4271 (66%) were African American, 1498 (24%) were white, and 590 (9%) were Hispanic. The AUDIT and AUDIT-C scores were associated with each alcohol-clustering condition. In particular, an AUDIT score of 20 or higher (vs <8, the reference) was associated with symptoms of depression (odds ratio [OR], 8.37; 95% CI, 6.20-11.29) and anxiety (OR, 8.98; 95% CI, 6.39-12.60) and with self-reported use of tobacco (OR, 14.64; 95% CI, 8.94-23.98), marijuana (OR, 12.41; 95% CI, 8.61-17.90), crack or cocaine (OR, 39.47; 95% CI, 27.38-56.90), other stimulants (OR, 21.31; 95% CI, 12.73-35.67), and injection drugs (OR, 8.67; 95% CI, 5.32-14.13). An AUDIT score of 20 or higher yielded likelihood ratio (sensitivity / 1 - specificity) values greater than 3.5 for depression, anxiety, crack or cocaine use, and other stimulant use. Associations between AUDIT-C scores and alcohol-clustering conditions were more modest. Conclusions and Relevance: Alcohol screening can inform decisions about further screening and diagnostic assessment for alcohol-clustering conditions, particularly for depression, anxiety, crack or cocaine use, and other stimulant use. Future studies using clinical diagnoses rather than screening tools to assess alcohol-clustering conditions may be warranted.

Indexed as

Mental HealthAdultAlcohol DrinkingFemaleFollow-Up StudiesHumansIllicit DrugsMaleMass ScreeningMiddle AgedMorbidityRetrospective StudiesSubstance-Related DisordersUnited StatesIllicit Drugs

Identifiers

PMID32163167
PMCPMC7068229

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.