Evidence map›Paper›PMID 27600613›Full record

ArticleBMC public health2016

Alcohol use in South Sudan in relation to social factors, mental distress and traumatic events.

Lars Lien, Edvard Hauff, Priscilla Martinez, Arne H Eide, Leslie Swarts, Touraj Ayazi

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Lars LienDepartment of Public Health, Hedmark University College, Elverum, Norway. lars.lien@sykehuset-innlandet.no.
Edvard HauffDepartment of Mental Health and Addiction, University of Oslo, Oslo, Norway.
Priscilla MartinezNorwegian Center for Addiction Research, University of Oslo, Oslo, Norway.
Arne H EideSINTEF Technology and Society, Oslo, Norway.
Leslie SwartsDepartment of Psychology, Alan J. Flisher Centre for Public Mental Health, Stellenbosch University, Matieland, South Africa.
Touraj AyaziDepartment of Mental Health and Addiction, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlcohol use is a major public health problem with vast implications for poor, war-torn countries. The objective of this study was to describe prevalence of alcohol use and risky drinking across socio-demographic factors in South Sudan, and to determine the association between risky drinking, traumatic events and mental distress.

methodsThis is a randomized, population based, cross-sectional study from the north-western part of South Sudan with nearly 500 participants. We used the Alcohol Use Disorders Identification Test (AUDIT) as main outcome variable, the General Health Questionnaire (GHQ-28) for mental distress and five questions to assess traumatic events.

resultsThe mean AUDIT score was 2.7 (SD 0.3) with 14,2 % in the high risk problem drinking category. Being male, lack of a regular income and psychological distress were significantly associated with higher AUDIT score. Traumatic events, however, was not associated with higher score on AUDIT.

conclusionDespite decades of civil war and great poverty the alcohol use in this population was at the same level as other countries in Southern Africa. Traumatic events were not related to risk of problem drinking.

Indexed as

Social SupportWarfareAdolescentAdultAlcohol DrinkingCross-Sectional StudiesDepressive DisorderFemaleHumansInterviews as TopicMaleMiddle AgedPrevalenceSouth SudanSurveys and QuestionnairesYoung AdultAlcoholAUDITDistressPovertyTrauma

Identifiers

PMID27600613
PMCPMC5012008

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.