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H. Mulford, D. Miller (1960)
Drinking in Iowa. II. The extent of drinking and selected sociocultural categories.Quarterly journal of studies on alcohol, 21
G. Bieler, B. Barnwell, B. Shah (1997)
SUDAAN User's Manual, Release 7.5,
(1980)
Department of Defense Directive 1010:4: Alcohol and Drug Abuse by DoD Personnel
(1970)
US General Accounting Office: Comptroller General's Report to Subcommittee on Alcoholism and Narcotics
G. Webb, S. Redman, D. Hennrikus, G. Kelman, R. Gibberd, R. Sanson‐Fisher (1994)
The relationships between high-risk and problem drinking and the occurrence of work injuries and related absences.Journal of studies on alcohol, 55 4
Rachel Jenkins, S. Harvey, T. Butler, R. Thomas (1992)
A six year longitudinal study of the occupational consequences of drinking over "safe limits" of alcohol.British Journal of Industrial Medicine, 49
Sheilla Jones, S. Casswell, Jia-fang Zhang (1995)
The economic costs of alcohol-related absenteeism and reduced productivity among the working population of New Zealand.Addiction, 90 11
(1996)
Economic Consequences of Alcohol Abuse for Department of Defense-1995
(1995)
Department of Defense Survey of Health Related Behaviors among Military Personnel
R Bray, M. Marsden, M Peterson (1991)
Standardized comparisons of the use of alcohol, drugs, and cigarettes among military personnel and civilians.American journal of public health, 81 7
T. Blum, Paul Roman, Jack Martin (1993)
Alcohol consumption and work performance.Journal of studies on alcohol, 54 1
Abstract This cross-sectional study examines the association between heavy alcohol use among active duty military personnel and five work productivity loss events that may have an adverse effect on military performance and readiness. Data for light (N = 3,147) and heavy (N = 2,242) drinkers, categorized by gender and pay grade, were obtained from the 1995 Department of Defense Worldwide Survey. Drinking classification was predefined using a standard algorithm that factored quantity and frequency of wine, beer, and liquor consumed. The relative risks of experiencing a productivity loss event at a particular level and 95% confidence intervals were calculated by applying the Mantel-Haenszel method after adjusting for age. The relative risks for increased self-reported lateness, leaving early, low performance, and on-the-job injury were all higher for heavy drinkers than for light drinkers. This association between the heavy-drinking population and four of five work productivity loss events indicates that prevention programs should target all personnel. Reprint & Copyright © by Association of Military Surgeons of U.S., 2000
Military Medicine – Oxford University Press
Published: May 1, 2000
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