Evidence map›Paper›PMID 23092252›Full record

ArticleBMC public health2012

The 'other' in patterns of drinking: a qualitative study of attitudes towards alcohol use among professional, managerial and clerical workers.

Jonathan Ling, Karen E Smith, Graeme B Wilson, Lyn Brierley-Jones, Ann Crosland, Eileen F S Kaner, Catherine A Haighton

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 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

7 authors at 2 institutions in 1 country.

Jonathan LingDepartment of Pharmacy, Health & Wellbeing, University of Sunderland, Sunderland, SR1 3SD, UK. Jonathan.ling@sunderland.ac.uk
Karen E Smith
Graeme B Wilson
Lyn Brierley-Jones
Ann Crosland
Eileen F S Kaner
Catherine A Haighton
University of Sunderland · GBNewcastle University · GB

Funding

British Heart FoundationCancer Research UKMedical Research Council MR/K02325X/1
6 · The paper itself

Abstract

backgroundRecent evidence shows that workers in white collar roles consume more alcohol than other groups within the workforce, yet little is known about their views of drinking.

methodsFocus groups were conducted in five workplaces to examine the views of white collar workers regarding the effect of alcohol use on personal and professional lives, drinking patterns and perceived norms. Analysis followed the method of constant comparison.

resultsAlcohol use was part of everyday routine. Acceptable consumption and 'excess' were framed around personal experience and ability to function rather than quantity of alcohol consumed. Public health messages or the risk of adverse health consequences had little impact on views of alcohol consumption or reported drinking.

conclusionsWhen developing public health alcohol interventions it is important to consider the views of differing groups within the population. Our sample considered public health messages to be of no relevance to them, rather they reinforced perceptions that their own alcohol use was controlled and acceptable. To develop effective public health alcohol interventions the views of this group should be examined in more detail.

Indexed as

Attitude to HealthAdultAlcohol DrinkingFemaleFocus GroupsHumansMaleMiddle AgedOccupationsQualitative ResearchWorkplaceYoung Adult

Identifiers

PMID23092252
PMCPMC3524033
OpenAlexW2018748096

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.