Literature DB >> 23849277

Associations of occupational attributes and excessive drinking.

Andrew J Barnes1, Frederick J Zimmerman.   

Abstract

Numerous work-related drinking mechanisms have been posited and, oftentimes, examined in isolation. We combined data from over 100 occupational attributes into several factors and tested the association of these factors with measures of alcohol use. We used the NLSY79 2006 wave, a U.S. representative sample of 6426 workers ages 41 to 49 and the 2006 Occupational Information Network database (O*NET), a nationally representative sample of nearly 1000 occupations. We conducted exploratory factor analysis on 119 occupational attributes and found three independent workplace characteristics - physical demands, job autonomy, and social engagement - explained the majority of the variation. We then tested the association of these composite attributes with three drinking measures, before and after adjusting for gender, race/ethnicity, and a measure of human capital using count data models. We then stratified by gender and repeated our analyses. Men working in occupations with a one standard deviation higher level of physical demand (e.g. construction) reported a higher number of heavy drinking occasions (+20%, p < 0.05). Job autonomy was not significantly associated with measures of alcohol use and when the combined association of higher levels of physical demand and lower levels of job autonomy was examined, modest support for job strain as a mechanism for work-related alcohol consumption was found. In our pooled sample, working in occupations with one standard deviation higher levels of social engagement was associated with lower numbers of drinking days (-9%, p < 0.05) after adjustment. Physical demand and social engagement were associated with alcohol consumption measures but these relationships varied by workers' gender. Future areas of research should include confirmatory analyses using other waves of O*Net data and replicating the current analysis in other samples of workers. If our results are validated, they suggest male workers in high physical demand occupations could be targets for intervention.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alcohol; Binge drinking; Excessive drinking; Heavy drinking; Job autonomy; Job demand; Job strain; Occupation

Mesh:

Year:  2013        PMID: 23849277      PMCID: PMC5647676          DOI: 10.1016/j.socscimed.2013.05.023

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  35 in total

1.  Employee drinking practices and work performance.

Authors:  T W Mangione; J Howland; B Amick; J Cote; M Lee; N Bell; S Levine
Journal:  J Stud Alcohol       Date:  1999-03

2.  Prevalence of alcohol and drug use in a highly educated workforce.

Authors:  Robert A Matano; Stanley F Wanat; Darrah Westrup; Cheryl Koopman; Shelly D Whitsell
Journal:  J Behav Health Serv Res       Date:  2002-02       Impact factor: 1.505

3.  Alcohol-related hospital utilization and mortality in different occupations in Sweden in 1991-1995.

Authors:  T Hemmingsson; G Ringbäck Weitoft
Journal:  Scand J Work Environ Health       Date:  2001-12       Impact factor: 5.024

4.  Work control, work demands, and work social support in relation to alcoholism among young men.

Authors:  T Hemmingsson; I Lundberg
Journal:  Alcohol Clin Exp Res       Date:  1998-06       Impact factor: 3.455

5.  Job strain, effort-reward imbalance, and heavy drinking: a study in 40,851 employees.

Authors:  Anne Kouvonen; Mika Kivimäki; Sara J Cox; Kari Poikolainen; Tom Cox; Jussi Vahtera
Journal:  J Occup Environ Med       Date:  2005-05       Impact factor: 2.162

6.  The epidemiology of alcohol use disorders and subthreshold dependence in a middle-aged and elderly community sample.

Authors:  Dan G Blazer; Li-Tzy Wu
Journal:  Am J Geriatr Psychiatry       Date:  2011-08       Impact factor: 4.105

7.  A longitudinal exploration of alcohol use and problems comparing managerial and nonmanagerial men and women.

Authors:  Sarah Moore; Leon Grunberg; Edward Greenberg
Journal:  Addict Behav       Date:  2003-06       Impact factor: 3.913

8.  A brief intervention for at-risk drinking in an employee assistance program.

Authors:  Karen Chan Osilla; Steven P Zellmer; Mary E Larimer; Clayton Neighbors; G Alan Marlatt
Journal:  J Stud Alcohol Drugs       Date:  2008-01       Impact factor: 2.582

9.  Binge drinking among US adults.

Authors:  Timothy S Naimi; Robert D Brewer; Ali Mokdad; Clark Denny; Mary K Serdula; James S Marks
Journal:  JAMA       Date:  2003-01-01       Impact factor: 56.272

10.  Work and high-risk alcohol consumption in the Canadian workforce.

Authors:  Alain Marchand; Annick Parent-Lamarche; Marie-Ève Blanc
Journal:  Int J Environ Res Public Health       Date:  2011-06-29       Impact factor: 3.390

View more
  14 in total

1.  Factors associated with alcohol abuse and dependence among public transport workers in the metropolitan region of Belo Horizonte.

Authors:  Najla Ourives Cunha; Luana Giatti; Ada Ávila Assunção
Journal:  Int Arch Occup Environ Health       Date:  2016-03-21       Impact factor: 3.015

2.  Effectiveness of Medical Rehabilitation on Return-to-Work Depends on the Interplay of Occupation Characteristics and Disease.

Authors:  Anita Wiemer; Christina Mölders; Sebastian Fischer; Wolfram Kawohl; Wulf Rössler
Journal:  J Occup Rehabil       Date:  2017-03

3.  Prevalence and Perception of Risky Health Behaviors Among Construction Workers.

Authors:  Jaime R Strickland; Samiullah Wagan; Ann Marie Dale; Bradley A Evanoff
Journal:  J Occup Environ Med       Date:  2017-07       Impact factor: 2.162

4.  BINGE DRINKING, SMOKING AND MARIJUANA USE: THE ROLE OF WOMEN's LABOR FORCE PARTICIPATION.

Authors:  Carol B Cunradi; Genevieve M Ames; Hong Xiao
Journal:  J Workplace Behav Health       Date:  2014

5.  Impacts of presenteeism on work-related injury absence and disease absence.

Authors:  Youna Won; Hwan-Cheol Kim; Jiho Kim; Minsun Kim; Seong-Cheol Yang; Shin-Goo Park; Jong-Han Leem
Journal:  Ann Occup Environ Med       Date:  2022-09-23

6.  Classifying U.S. Army Military Occupational Specialties using the Occupational Information Network.

Authors:  Anne M Gadermann; Steven G Heeringa; Murray B Stein; Robert J Ursano; Lisa J Colpe; Carol S Fullerton; Stephen E Gilman; Michael J Gruber; Matthew K Nock; Anthony J Rosellini; Nancy A Sampson; Michael Schoenbaum; Alan M Zaslavsky; Ronald C Kessler
Journal:  Mil Med       Date:  2014-07       Impact factor: 1.437

7.  College attendance type and subsequent alcohol and marijuana use in the U.S.

Authors:  Joy Bohyun Jang; Megan S Schuler; Rebecca J Evans-Polce; Megan E Patrick
Journal:  Drug Alcohol Depend       Date:  2019-09-22       Impact factor: 4.492

8.  Effort-Reward Imbalance Is Associated With Alcohol-Related Problems. WIRUS-Screening Study.

Authors:  Jens Christoffer Skogen; Mikkel Magnus Thørrisen; Tore Bonsaksen; Jussi Vahtera; Børge Sivertsen; Randi Wågø Aas
Journal:  Front Psychol       Date:  2019-09-13

9.  Defining 'Integration' for Total Worker Health®: A New Proposal.

Authors:  Laura Punnett; Jennifer M Cavallari; Robert A Henning; Suzanne Nobrega; Alicia G Dugan; Martin G Cherniack
Journal:  Ann Work Expo Health       Date:  2020-03-10       Impact factor: 2.179

10.  Health Risk Behavior Profile of Construction Workers, 32 States, 2013 to 2016.

Authors:  Winifred L Boal; Jia Li; Xiuwen Sue Dong; Aaron Sussell
Journal:  J Occup Environ Med       Date:  2020-07       Impact factor: 2.162

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.