Literature DB >> 22621358

Alcohol consumption patterns of shiftworkers compared with dayworkers.

Jillian Dorrian1, Natalie Skinner.   

Abstract

The detrimental effects of excessive alcohol consumption are well documented. There is some evidence that shiftworkers consume more alcohol than dayworkers as a sleep aid to compensate for sleep difficulties associated with work schedules. This study investigated drinking patterns between shiftworkers and dayworkers using the 2006 and 2007 waves from the Household Income and Labour Dynamics Survey. A subset of workers who were not in full-time study and had a single job were selected; participants who did not drink alcohol (n = 2090) were excluded. Using the 2001 Australian Government alcohol guidelines, alcohol consumption for risk of short-term harm (7+ standard drinks for men, 5+ for women) was investigated. The number of workers who drank alcohol "nearly every day" or "every day" was also examined. Some 13% of shiftworkers and 10% of those on standard schedules reported consuming alcohol at levels risky for short-term harm. Having a child less than 17 yrs (odds ratio [OR] = .39, 95% confidence interval [CI] = .22-.69), higher job demands (OR = .71, 95% CI = .58-.86), being female (OR = .45, 95% CI=. 26-.79), and being older (OR = .89, 95% CI = .87-.92) significantly reduced, whereas being a shiftworker (OR = 2.10, 95% CI = 1.08-4.12) significantly increased, the odds of drinking alcohol in short-term risky levels. Nearly 10% of shiftworkers and 8% of those on standard schedules reported consuming alcohol in short-term risky levels at least weekly. Having a child less than 17 yrs (OR = .40, 95% CI = .22-.74), higher job demands (OR = .69, 95% CI = .56-.86), being female (OR = .28, 95% CI = .15-.53), and being older (OR = .92, 95% CI = .89-.94) were associated with a significant reduction in the odds of consuming alcohol at risky levels at least weekly. Being a shiftworker was not associated with a significant increase in the odds of consuming alcohol at such risky levels at least weekly, but a trend was evident (OR = 1.47, 95% CI = .73-3.00). Some 13.5% of shiftworkers and 21% of those on standard schedules reported consuming alcohol in any amount "near daily" or "daily." Working more hours than preferred (OR = 1.80, 95% CI = 1.12-2.89) and being older (OR = 1.10, 95% CI = 1.07-1.13) were associated with a significant increase, and being female (OR = .18, 95% CI = .10-.33), and being a shiftworker (OR = .20, 95% CI = .09-.45) were associated with a significant decrease in the odds of consuming alcohol "daily" or "near daily." Overall, the results suggest that shiftworkers may be more likely to consume alcohol at levels considered to be risky for health in the short term. In contrast, they appear less likely to drink alcohol daily. This pattern is suggestive of "binge drinking" behavior.

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Mesh:

Year:  2012        PMID: 22621358     DOI: 10.3109/07420528.2012.675848

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  7 in total

1.  Nightshift work, chronotype, and genome-wide DNA methylation in blood.

Authors:  Charleen D Adams; Kristina M Jordahl; Wade Copeland; Dana K Mirick; Xiaoling Song; Cassandra L Sather; Karl Kelsey; Andres Houseman; Scott Davis; Timothy Randolph; Parveen Bhatti
Journal:  Epigenetics       Date:  2017-11-27       Impact factor: 4.528

2.  Sleep Duration and Chronic Fatigue Are Differently Associated with the Dietary Profile of Shift Workers.

Authors:  Georgina Heath; Alison Coates; Charli Sargent; Jillian Dorrian
Journal:  Nutrients       Date:  2016-11-30       Impact factor: 5.717

3.  Sleep for heart health: investigating the relationship between work day sleep, days off sleep, and cardiovascular risk in Australian train drivers.

Authors:  Janine Chapman; Anjum Naweed; Carlene Wilson; Jillian Dorrian
Journal:  Ind Health       Date:  2019-03-05       Impact factor: 2.179

4.  The Impact of Sex, Circadian Disruption, and the ClockΔ19/Δ19 Genotype on Alcohol Drinking in Mice.

Authors:  Abanoub Aziz Rizk; Bryan W Jenkins; Yasmine Al-Sabagh; Shahnaza Hamidullah; Cristine J Reitz; Mina Rasouli; Tami A Martino; Jibran Y Khokhar
Journal:  Genes (Basel)       Date:  2022-04-15       Impact factor: 4.096

Review 5.  Rhythms, Reward, and Blues: Consequences of Circadian Photoperiod on Affective and Reward Circuit Function.

Authors:  Justin K Siemann; Brad A Grueter; Douglas G McMahon
Journal:  Neuroscience       Date:  2020-12-30       Impact factor: 3.590

6.  Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being.

Authors:  Megan R Winkler; Susan Mason; Melissa N Laska; Mary J Christoph; Dianne Neumark-Sztainer
Journal:  SSM Popul Health       Date:  2017-12-20

Review 7.  The Impact of Shiftwork on Skeletal Muscle Health.

Authors:  Brad Aisbett; Dominique Condo; Evelyn Zacharewicz; Séverine Lamon
Journal:  Nutrients       Date:  2017-03-08       Impact factor: 5.717

  7 in total

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