Occupation as an Independent Risk Factor for Binge Drinking

Barnes, Andrew J.; Brown, E Richard

doi:10.3109/00952990.2012.694537

Cited by 21 publications

(18 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similary, Barnes et al . reported that those in sales and related occupations were 6.9 percentage points more likely to binge drink than those in professional occupation [30]. Previous studies have also shown that a low education level and unemployment or a low SES are associated higher heavy drinking or drunkenness [21–23,26].…”

Section: Discussionmentioning

confidence: 99%

The prevalence of and factors associated with high-risk alcohol consumption in Korean adults: The 2009–2011 Korea National Health and Nutrition Examination Survey

2017

View full text Add to dashboard Cite

BackgroundThe consequences of alcohol consumption on health outcomes are largely determined by two separate, but related, dimensions of drinking: the total volume of alcohol consumed and the pattern of drinking. Most epidemiological studies focus on the amount of alcohol consumed and do not consider the pattern of drinking.ObjectivesThis study evaluated the prevalence of and factors associated with high-risk and heavy alcohol drinking in Korean adults.MethodsThis study analyzed 15,215 of the 28,009 participants in the 2009–2011 Korea National Health and Nutrition Examination Survey (KNHANES). High-risk alcohol drinking was defined as Alcohol Use Disorders Identification Test (AUDIT) scores ≥16, which provides a framework for intervention to identify hazardous and harmful drinking patterns as the cause of alcohol-use disorders, according to World Health Organization guidelines.ResultsThe prevalence of high-risk drinking was 15.1%, with the highest prevalence of 17.2% in middle-aged adults (45–64 years). In men, the prevalence of high-risk alcohol drinking was 23.7%, with the highest prevalence found in middle-aged adults. In women, the prevalence of high-risk alcohol drinking was 4.2%, with the highest prevalence found in younger adults. Men had higher weighted mean AUDIT scores than women (10.0 vs. 4.0, P<0.001), and age was negatively associated with the AUDIT score (P<0.001). Elementary school graduates had higher mean AUDIT scores than senior high school (P = 0.003) or college (P<0.001) graduates. Regarding occupation, clerical support workers (P = 0.002) and service and sales workers (P<0.001) had higher mean AUDIT scores than managers and professionals. Logistic regression analyses of high-risk alcohol drinking using sex, age, education level, number of family members, household income, and occupation as covariates was performed. Women had a lower risk of high-risk alcohol drinking (odds ratio (OR) 0.14, 95% CI: 0.13–0.16, P<0.001) than men. Regarding age, compared to control subjects aged 19–29 years, adults aged 60–69 and older than 70 years had 0.67- (95% CI: 0.51–0.89, P = 0.005) and 0.29-fold (95% CI: 0.20–0.70, P<0.001) lower risks, respectively, of high-risk alcohol drinking, whereas adults aged 30–59 had an increased risk of high-risk alcohol drinking. Using elementary school graduates as controls, senior high school (OR: 0.70, 95% CI: 0.55–0.87, P = 0.002) and college (OR: 0.54, 95% CI: 0.42–0. 70, P<0.001) graduates had lower risks of high-risk alcohol drinking. Regarding occupation, compared to managers and professionals as controls, service and sales workers had a greater risk of high-risk alcohol drinking (OR: 1.36, 95% CI: 1.07–1.73, P = 0.011). The number of family members and household income did not influence high-risk alcohol drinking.ConclusionsIn a representative sample of Korean adults, the prevalence of high-risk alcohol drinking was 15.1%, with the highest prevalence of 28.3% found in middle-aged men (45–64 years). This study suggests that younger age, male sex, low education level, an...

show abstract

Section: Discussionmentioning

confidence: 99%

The prevalence of and factors associated with high-risk alcohol consumption in Korean adults: The 2009–2011 Korea National Health and Nutrition Examination Survey

2017

View full text Add to dashboard Cite

show abstract

“…We also controlled for a measure of human capital, or an individual's physical and mental aptitude and education or job experiences that have economic value (Bruce, 1990). Human capital measures have been found in previous studies to be correlated with both alcohol consumption and occupation (Barnes & Brown, 2012;Kenkel et al, 1994;MacDonald & Shields, 2001). Participants' Armed Forces Qualification Test (AFQT) scores assessed in the 1989 wave of the NLSY were used as our proxy measure of human capital (Keng & Huffman, 2005).…”

Section: Methodsmentioning

confidence: 99%

“…In particular, farm workers and service industry employees have been found to have higher risk and those working in professional occupations lower risk (Jarman et al, 2007;Matano et al, 2002). Workers in construction and oil, gas, and mining extraction occupations had a higher prevalence of excessive drinking than those employed in professional and related occupations (Larson et al, 2007;Substance Abuse and Mental Health Services, 1999;Barnes & Brown, 2012). Conversely, other research finds alcohol use increases with occupational grade (Berggren & Nystedt, 2006) with managerial workers, particularly women, at increased risk of problem alcohol use when compared to nonmanagerial workers (Moore, Grunberg, & Greenberg, 2003).…”

Section: Introductionmentioning

confidence: 99%

Associations of occupational attributes and excessive drinking

Barnes

Zimmerman

2013

Social Science & Medicine

View full text Add to dashboard Cite

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 6,426 workers ages 41 to 49 and the 2006 Occupational Information Network database (O*NET), a nationally representative sample of nearly 1,000 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.

show abstract

“…For example, among respondents to the 2005 California Health Interview Survey, Barnes and Brown (2013) found that workers in physically demanding occupations such as construction and installation were at elevated risk for past-30 day binge drinking compared to white-collar professionals. Similarly, among a national sample of uninsured workers, those in construction/extraction occupations were significantly more likely to report binge drinking, or drug and alcohol use, compared to workers in service occupations (Waehrer, Zaloshnja, Miller, & Galvin, 2008).…”

Section: Introductionmentioning

confidence: 99%

Binge Drinking, Smoking, and Marijuana Use: The Role of Women's Labor Force Participation

Cunradi

Ames

Xiao

2014

Journal of Workplace Behavioral Health

View full text Add to dashboard Cite

This study analyzed the role of women's labor force participation in relation to binge drinking, smoking and marijuana use among employment age married/cohabiting women. The sample consisted of 956 women who were employed as construction workers (n=104), or were unemployed (n=101), homemakers (n=227) or employed in non-physically demanding occupations (n=524). Results of multivariate logistic regression analyses showed that women construction workers were at elevated risk for smoking and monthly binge drinking; unemployed women were more likely to use marijuana. Women in both categories were at risk for polysubstance use. Additional research is needed to explicate how labor force participation influences women's substance use.

show abstract

Occupation as an Independent Risk Factor for Binge Drinking

Abstract: Background-Understanding associations between binge drinking and occupation is important from economic and public health perspectives.

Cited by 21 publications

References 24 publications

The prevalence of and factors associated with high-risk alcohol consumption in Korean adults: The 2009–2011 Korea National Health and Nutrition Examination Survey

The prevalence of and factors associated with high-risk alcohol consumption in Korean adults: The 2009–2011 Korea National Health and Nutrition Examination Survey

Associations of occupational attributes and excessive drinking

Binge Drinking, Smoking, and Marijuana Use: The Role of Women's Labor Force Participation

Contact Info

Product

Resources

About