Evidence map›Paper›PMID 26585028›Full record

ArticleBMC public health2015

The association between alcohol use and depressive symptoms across socioeconomic status among 40- and 45-year-old Norwegian adults.

Priscilla Martinez, Sudan Prasad Neupane, Berit Perlestenbakken, Christina Toutoungi, Jørgen G Bramness

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Priscilla MartinezAlcohol Research Group, Public Health Institute, UC Berkeley School of Public Health, Berkeley, CA, USA. priscilla.martinez@medisin.uio.no.
Sudan Prasad NeupaneNorwegian Centre for Addiction Research (SERAF), Institute of Clinical Medicine, University of Oslo, Post box 1039, Blindern, 0315, Oslo, Norway. s.p.neupane@medisin.uio.no.
Berit PerlestenbakkenNorwegian Centre for Addiction Research (SERAF), Institute of Clinical Medicine, University of Oslo, Post box 1039, Blindern, 0315, Oslo, Norway. berit@hedalen.no.
Christina ToutoungiNorwegian Centre for Addiction Research (SERAF), Institute of Clinical Medicine, University of Oslo, Post box 1039, Blindern, 0315, Oslo, Norway. tina.toutoungi@gmail.com.
Jørgen G BramnessNorwegian Centre for Addiction Research (SERAF), Institute of Clinical Medicine, University of Oslo, Post box 1039, Blindern, 0315, Oslo, Norway. j.g.bramness@medisin.uio.no.
University of Oslo · NOPublic Health Institute · US

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI KERR, WILLIAM C. · 1985 to 2025
$34.1M
GRADUATE RESEARCH TRAINING ON ALCOHOL PROBLEMST32AA007240 · NIAAA · UNIVERSITY OF CALIFORNIA BERKELEY · PI William C. Kerr · 1985 to 2026
$7.5M
NIAAA NIH HHS P50 AA005595NIAAA NIH HHS T32 AA007240
6 · The paper itself

Abstract

backgroundLittle population-based data among middle-aged adults exists examining the relationships between depressive symptoms, alcohol use, and socio-economic status (SES). This study aimed to describe the relationships between depressive symptoms and alcohol use at different levels of SES and to determine differences across SES levels among a population-based sample of 40 and 45 year old adults in Norway.

methodsThis analysis was based on data from two Norwegian health studies conducted in 2000 and 2001, and included community-dwelling Norwegian men and women aged 40 and 45 years. Self-reported frequency and quantity of alcoholic drinks was used to calculate past-year typical quantity of drinks consumed and frequency of 5+ drinks per occasion, or heavy episodic drinking (HED). Depressive symptoms were assessed with the 10-item Hopkins Symptom Checklist, and SES was measured as education level and employment status. To observe the association between depressive symptoms and alcohol use at each level of SES we fitted multinomial logistic regression models using each alcohol outcome as a dependent variable stratified by level of education and employment. To observe differences across levels of SES, we examined the interaction between depressive symptoms and SES level in multinomial logistic regression models for each alcohol measures.

resultsHaving depressive symptoms was significantly associated with an increased risk of 5+ typical drinks among people in the lowest (RRR = 1.60, p ≤ 0.05) education level, and not among people in the highest. Conversely, significant associations were observed among all levels of employment. For frequency of HED, depressive symptoms was not significantly associated with frequency of HED at any education level. Depressive symptoms was associated with 13+ past year HED episodes among people with no employment (RRR = 1.97, p ≤ 0.05), and part-time employment (RRR = 2.33, p ≤ 0.01), and no association was observed among people with full-time employment. A significant interaction was observed for depressive symptoms and employment for risk of 13+ past-year HED episodes.

conclusionsThe results show a variety of associations between depressive symptoms and alcohol use among people with lower SES, and suggest type of alcohol use and SES measure may influence the observation of an association between depressive symptoms and alcohol use at different SES levels.

Indexed as

AdultAlcohol DrinkingBinge DrinkingDepressionFemaleHumansLogistic ModelsMaleMiddle AgedNorwaySocioeconomic Factors

Identifiers

PMID26585028
PMCPMC4653901
OpenAlexW2173660307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.