Evidence map›Paper›PMID 30260382›Full record

ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2019

Transitions Through Stages of Alcohol Use, Use Disorder and Remission: Findings from Te Rau Hinengaro, The New Zealand Mental Health Survey.

Charlene M Rapsey, J Elisabeth Wells, Ms Chrianna Bharat, Meyer Glantz, Ronald C Kessler, Kate M Scott

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 30% of its field
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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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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

6 authors at 4 institutions in 3 countries.

Charlene M RapseyDepartment of Psychological Medicine, Dunedin School of Medicine, University of Otago, 464 Cumberland St., Dunedin, New Zealand.
J Elisabeth WellsDepartment of Population Health, University of Otago, Christchurch, New Zealand.
Ms Chrianna BharatNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia.
Meyer GlantzDepartment of Epidemiology, Services, and Prevention Research (DESPR), National Institute on Drug Abuse (NIDA), National Institute of Health (NIH), 6001 Executive Boulevard, Suite 5185 MSC 9589, Bethesda, MD, USA.
Ronald C KesslerHarvard Medical School, Department of Health Care Policy, 180 Longwood Ave, Boston MA, USA.
Kate M ScottDepartment of Psychological Medicine, Dunedin School of Medicine, University of Otago, 464 Cumberland St., Dunedin, New Zealand.
University of Otago · NZHarvard University · USNational Institute on Drug Abuse · USUNSW Sydney · AU

Funding

Risk Factors for Psychopathology in the WHO WMH SurveysR01MH070884 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2005 to 2009
$6.0M
Social Role Disability and Mental-Physical Co-MorbidityR01MH069864 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI VON KORFF, MICHAEL R · 2004 to 2007
$2.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
World Mental Health Consortium Annual Meeting 2003-07R13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2003 to 2007
$735k
Lebanon-Epidemiology: The NCS Replication StudyR03TW006481 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2004 to 2006
$142k
FIC NIH HHS R03 TW006481NIDA NIH HHS R01 DA016558NIMH NIH HHS R01 MH069864NIMH NIH HHS R01 MH070884NIMH NIH HHS R13 MH066849
6 · The paper itself

Abstract

aimsTo understand transitions from alcohol use to disorder, we examine timing of transitions between stages of alcohol use and associations between transitions and socio-demographic factors. SHORT SUMMARY: Using nationally representative data, we found that the majority of alcohol use disorders develop by age 25. Increased alcohol use within a participant's cohort was associated with subsequent transition across all stages of alcohol use and disorder. Fifty percent of dependence cases had not remitted after 9 years.

methodsA nationally representative sample with a 73% response rate included 12,992 participants aged 16 and older. The Composite International Diagnostic Interview (CIDI 3.0) was used to assess age at initial alcohol consumption, commencement of regular consumption, symptoms of alcohol abuse and dependence, and year-long remission. Alcohol consumption in an age- and gender-matched cohort, education, gender and age at commencement of use were investigated as covariates.

resultsAmong all respondents, 94.6% used alcohol, 85.1% used alcohol regularly, 11.4 and 4.6% had developed alcohol abuse and dependence disorders, respectively. Of those with an abuse or dependence disorder, 79.9 and 67.2% had remitted, respectively. Increased alcohol use within a participant's cohort was associated with subsequent transition across all stages. The majority of disorders had developed by age 25. Considerable time was spent with disorder; 50% of dependence cases had not remitted after 9 years. Men were at greater risk of disorder and less likely to remit.

conclusionsInterventions should target young people and cohort-specific consumption with resources also allocated to long-term treatment provision for alcohol dependency.

Indexed as

AdolescentAdultAgedAged, 80 and overAlcohol DrinkingAlcoholismCohort StudiesFemaleHealth SurveysHumansMaleMental HealthMiddle AgedNew ZealandRemission InductionRetrospective Studies

Identifiers

PMID30260382
PMCPMC6324656
OpenAlexW2894016250

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.