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Smoking and absence from work: systematic review and meta-analysis of occupational studies.
- Source :
- Addiction; Feb2013, Vol. 108 Issue 2, p307-319, 13p, 4 Diagrams, 2 Charts
- Publication Year :
- 2013
-
Abstract
- Aims This study aimed to assess the association between smoking and absenteeism in working adults. Methods A systematic review and meta-analysis was performed by electronic database searches in MEDLINE, EMBASE, CAB Abstracts, Pub Med, Science Direct and National Health Service Economic Evaluation Database ( February 2012). Longitudinal, prospective cohorts or retrospective cohorts were included in the review. Summary effect estimates were calculated using random-effects meta-analysis. Heterogeneity was assessed by I<superscript>2</superscript> and publication bias was investigated. Results A total of 29 longitudinal or cohort studies were included. Compared with non-smokers, current smokers had a 33% increase in risk of absenteeism [95% confidence interval ( CI): 1.25-1.41; I<superscript>2</superscript> = 62.7%; 17 studies]. Current smokers were absent for an average of 2.74 more days per year compared with non-smokers (95% CI: 1.54-3.95; I<superscript>2</superscript> = 89.6%; 13 studies). Compared with never smokers, ex-smokers had a 14% increase in risk of absenteeism (95% CI: 1.08-1.21; I<superscript>2</superscript> = 62.4%; eight studies); however, no increase in duration of absence could be detected. Current smokers also had a 19% increase in risk of absenteeism compared with ex-smokers (95% CI: 1.09-1.32, P < 0.01, eight studies). There was no evidence of publication bias. The total cost of absenteeism due to smoking in the United Kingdom was estimated to be £1.4 billion in 2011. Conclusions Quitting smoking appears to reduce absenteeism and result in substantial cost-savings for employers. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANALYSIS of covariance
CONFIDENCE intervals
EPIDEMIOLOGY
INDUSTRIAL hygiene
MEDICAL information storage & retrieval systems
LONGITUDINAL method
MEDLINE
META-analysis
ONLINE information services
REGRESSION analysis
RESEARCH funding
SCALES (Weighing instruments)
SMOKING
SYSTEMATIC reviews
DATA analysis
RELATIVE medical risk
RETROSPECTIVE studies
DATA analysis software
STATISTICAL models
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 09652140
- Volume :
- 108
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Addiction
- Publication Type :
- Academic Journal
- Accession number :
- 84943503
- Full Text :
- https://doi.org/10.1111/add.12015