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dc.contributor.authorSkogen, Jens Christoffer
dc.contributor.authorBøe, Tormod
dc.contributor.authorThørrisen, Mikkel Magnus
dc.contributor.authorRiper, Heleen
dc.contributor.authorAas, Randi Wågø
dc.date.accessioned2019-12-30T14:57:52Z
dc.date.accessioned2020-01-09T12:32:19Z
dc.date.available2019-12-30T14:57:52Z
dc.date.available2020-01-09T12:32:19Z
dc.date.issued2019-09-20
dc.identifier.citationSkogen JC, Bøe T, Thørrisen M, Riper H, Aas RW. Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian WIRUS screening study. BMC Public Health. 2019;19:1-12en
dc.identifier.issn1471-2458
dc.identifier.issn1471-2458
dc.identifier.urihttps://hdl.handle.net/10642/7961
dc.description.abstractBackground. For alcohol, the association with socioeconomic status (SES) is different than for other public health challenges – the associations are complex, and heterogeneous between socioeconomic groups. Specifically, the relationship between alcohol consumption per se and adverse health consequences seems to vary across SES. This observation is called the ‘alcohol harm paradox’. This study aims to describe different patterns of alcohol use and potential problems. Next, the associations between sub-groups characterized by different patterns of alcohol use and potential problems, and age, gender, educational level, full-time employment, occupational level and income is analysed. Methods. Employing data from the ongoing cross-sectional WIRUS-study, N = 4311 participants were included in the present study. Individual response patterns of the ten-item Alcohol Use Disorders Identification Test (AUDIT) were analysed and latent class analysis (LCA) was used to identify latent groups. Next, the associations between the classes identified in the best fitting LCA-model and sociodemographic factors were analysed and presented. Results. We identified three classes based on the response patterns on AUDIT. Class 1 was characterised by low-level alcohol consumption and very low probability of negative alcohol-related consequences related to their alcohol consumption. Class 2 was characterised by a higher level of consumption, but despite this, class 2 also had a relatively low probability of reporting negative alcohol-related consequences. Class 3, however, was characterised by high levels of alcohol consumption, and a high probability of reporting negative consequences of their consumption. The classes identified were systematically differentially associated with the included measures of SES, with class 3 characterised by younger age, more males and lower educational attainment. Conclusions. Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Furthermore, the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences.en
dc.description.sponsorshipThe study was supported by the Norwegian Directorate of Health and the Research Council of Norway. The funding bodies had no role in the design of study nor in data collection, analysis and data interpretation.en
dc.language.isoenen
dc.publisherBMC (part of Springer Nature)en
dc.relation.ispartofseriesBMC Public Health;19, Article number: 1364 (2019)
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAlcohol useen
dc.subjectAlcohol related consequencesen
dc.subjectSocioeconomic statusesen
dc.subjectAlcohol harm paradoxesen
dc.subjectLatent class analysesen
dc.titleSociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian WIRUS screening studyen
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2019-12-30T14:57:52Z
dc.description.versionpublishedVersionen
dc.identifier.doihttps://dx.doi.org/10.1186/s12889-019-7648-6
dc.identifier.cristin1747729
dc.source.journalBMC Public Health


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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.