Literature DB >> 19033355

Alcohol consumption and sickness absence: evidence from microdata.

Edvard Johansson1, Petri Böckerman, Antti Uutela.   

Abstract

BACKGROUND: Aggregate time-series evidence has shown that overall per capita alcohol consumption is associated with sickness absence. This study re-examines the relationship between alcohol consumption and sickness absence by using individual-level microdata and methods that yield results which are less likely to be due to spurious correlations.
METHODS: Data on sickness absence and alcohol consumption for 18 Finnish regions over the period 1993-2005 was used. Sickness absence was measured as the number of sickness absence days during 1 year. Alcohol consumption was measured as the number of alcohol drinks consumed per week. The individual-level relationship between alcohol consumption and sickness absence was estimated by using Poisson regression models. Unobserved determinants of lifestyle behaviours associated with the region and survey year were controlled for. Personal characteristics as well as the clustering of observations by regions were also taken into account.
RESULTS: The estimates show that alcohol consumption is associated with sickness absence. The positive relationship between alcohol consumption and sickness absence is particularly pronounced for low-educated males.
CONCLUSIONS: Aggregate time-series evidence for the relationship between alcohol consumption and sickness absence is confirmed by using individual-level microdata. The policy lesson is that it is important to take into account the effects of alcohol consumption on the prevalence of sickness absence (i.e. labour supply on an intensive margin) when one is considering the level of taxation of alcoholic beverages.

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Year:  2008        PMID: 19033355     DOI: 10.1093/eurpub/ckn116

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  9 in total

1.  Do Differences in Drinking Attitudes and Alcohol-Related Problems Explain Differences in Sick Leave? A Multilevel Analysis of 95 Work Units Within 14 Companies From the WIRUS Study.

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2.  Medical net cost of low alcohol consumption - a cause to reconsider improved health as the link between alcohol and wage?

Authors:  Johan Jarl; Ulf G Gerdtham; Klara Hradilova Selin
Journal:  Cost Eff Resour Alloc       Date:  2009-10-23

3.  Alcohol use in adolescence and risk of disability pension: a 39 year follow-up of a population-based conscription survey.

Authors:  Anna Sidorchuk; Tomas Hemmingsson; Anders Romelsjö; Peter Allebeck
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4.  Use of alcohol and drugs by employees in selected business areas in Norway: a study using oral fluid testing and questionnaires.

Authors:  Hilde Marie Erøy Edvardsen; Inger Synnøve Moan; Asbjørg S Christophersen; Hallvard Gjerde
Journal:  J Occup Med Toxicol       Date:  2015-12-16       Impact factor: 2.646

5.  Can routine information from electronic patient records predict a future diagnosis of alcohol use disorder?

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Journal:  Scand J Prim Health Care       Date:  2016-07-12       Impact factor: 2.581

6.  The influence of alcohol consumption on sickness presenteeism and impaired daily activities. The WIRUS screening study.

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7.  Cost and consequence analysis of the Healthy Choices at Work programme to prevent non-communicable diseases in a commercial power plant, South Africa.

Authors:  Darcelle D Schouw; Robert Mash
Journal:  Afr J Prim Health Care Fam Med       Date:  2020-06-22

8.  A systematic review and meta-analysis uncovering the relationship between alcohol consumption and sickness absence. When type of design, data, and sickness absence make a difference.

Authors:  Neda S Hashemi; Jens Christoffer Skogen; Aleksandra Sevic; Mikkel Magnus Thørrisen; Silje Lill Rimstad; Hildegunn Sagvaag; Heleen Riper; Randi Wågø Aas
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9.  Alcohol use and sickness absence due to all causes and mental- or musculoskeletal disorders: a nationally representative study.

Authors:  Leena Kaila-Kangas; Aki Koskinen; Päivi Leino-Arjas; Marianna Virtanen; Tommi Härkänen; Tea Lallukka
Journal:  BMC Public Health       Date:  2018-01-17       Impact factor: 3.295

  9 in total

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