Evidence map›Paper›PMID 27475284›Full record

ArticleDrug and alcohol dependence2016

Rates of past-year alcohol treatment across two time metrics and differences by alcohol use disorder severity and mental health comorbidities.

Rebecca Evans-Polce, Megan S Schuler

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

2 authors.

Rebecca Evans-PolceThe Methodology Center and Prevention Research Center, Pennsylvania State University, 217 HHD, University Park, PA 16802, USA. Electronic address: revanspolce@psu.edu.
Megan S SchulerDepartment of Health Care Policy, Harvard University, Boston, MA 02115, USA. Electronic address: schuler@hcp.med.harvard.edu.

Funding

THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI LANZA, STEPHANIE T · 1996 to 2014
$24.5M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
NIDA NIH HHS P50 DA010075NIDA NIH HHS P50 DA039838NIDA NIH HHS T32 DA017629
6 · The paper itself

Abstract

introductionLittle is known about how alcohol treatment rates vary across age or years since onset of an alcohol use disorder (AUD). We examined past-year treatment prevalence and associations across these important time metrics.

methodData on 22,278 adults ages 18-50 were from the National Epidemiologic Survey on Alcohol and Related Conditions-III (2012-2013). We examined the age-varying prevalence of alcohol treatment and associations of past-year AUD severity, MDD status, and DUD status with treatment. Additionally, for individuals with a lifetime AUD (N=7089), we examined associations of severity, MDD, and DUD across years since AUD onset.

resultsIndividuals with Moderate/Severe past-year AUD had significantly higher treatment rates at nearly all ages, compared to those with Mild or no AUD. For those with Moderate/Severe AUD, treatment rates were highest during late adolescence and middle adulthood and lowest during early adulthood. Mental health comorbidities were positively associated with treatment at certain age ranges in mid-adulthood. Among individuals with a lifetime AUD, those with Moderate/Severe past-year AUD had significantly higher past-year treatment rates across all years since onset. MDD and DUD were both positively associated with treatment at nearly all years since AUD onset.

conclusionsAlcohol treatment rates varied notably by age and, to a lesser extent, by years since AUD onset. Greater AUD severity was consistently associated with higher rates of treatment, whereas Mild AUD had a much weaker relationship. MDD and DUD showed similar patterns of positive association with treatment. Our results highlight important subgroups where unmet treatment needs are highest.

Indexed as

AdolescentAdultAlcohol-Related DisordersComorbidityFemaleHumansMajor Depressive DisorderMaleMental HealthMiddle AgedPersonality DisordersPrevalenceSubstance-Related DisordersYoung AdultAlcoholAlcohol treatmentComorbiditiesDepressionSubstance use disorder

Identifiers

PMID27475284
PMCPMC4991640

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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.