Medical marijuana laws and workplace fatalities in the United States. 2018

D Mark Anderson, and Daniel I Rees, and Erdal Tekin
Department of Agricultural Economics and Economics, Montana State University, P.O. Box 172920, Bozeman, MT, 59717-2920, United States. Electronic address: dwight.anderson@montana.edu.

The aim of this research was to determine the association between legalizing medical marijuana and workplace fatalities. Repeated cross-sectional data on workplace fatalities at the state-year level were analyzed using a multivariate Poisson regression. To date, 29 states and the District of Columbia have legalized the use of marijuana for medicinal purposes. Although there is increasing concern that legalizing medical marijuana will make workplaces more dangerous, little is known about the relationship between medical marijuana laws (MMLs) and workplace fatalities. All 50 states and the District of Columbia for the period 1992-2015. Workplace fatalities by state and year were obtained from the Bureau of Labor Statistics. Regression models were adjusted for state demographics, the unemployment rate, state fixed effects, and year fixed effects. Legalizing medical marijuana was associated with a 19.5% reduction in the expected number of workplace fatalities among workers aged 25-44 (incident rate ratio [IRR], 0.805; 95% CI, .662-.979). The association between legalizing medical marijuana and workplace fatalities among workers aged 16-24, although negative, was not statistically significant at conventional levels. The association between legalizing medical marijuana and workplace fatalities among workers aged 25-44 grew stronger over time. Five years after coming into effect, MMLs were associated with a 33.7% reduction in the expected number of workplace fatalities (IRR, 0.663; 95% CI, .482-.912). MMLs that listed pain as a qualifying condition or allowed collective cultivation were associated with larger reductions in fatalities among workers aged 25-44 than those that did not. The results provide evidence that legalizing medical marijuana improved workplace safety for workers aged 25-44. Further investigation is required to determine whether this result is attributable to reductions in the consumption of alcohol and other substances that impair cognitive function, memory, and motor skills.

UI MeSH Term Description Entries
D007880 Legislation, Drug Laws concerned with manufacturing, dispensing, and marketing of drugs. Drug Laws,Food, Drug and Cosmetic Act,Narcotic Laws,Drug Legislation,Drug Law,Law, Drug,Law, Narcotic,Laws, Drug,Laws, Narcotic,Narcotic Law
D008385 Marijuana Smoking Inhaling and exhaling SMOKE from CANNABIS. Cannabis Smoking,Hashish Smoking,Marihuana Smoking,Smoking Blunts,Smoking, Blunts,Blunt, Smoking,Blunts Smoking,Blunts Smokings,Blunts, Smoking,Smoking Blunt,Smoking, Cannabis,Smoking, Hashish,Smoking, Marihuana,Smoking, Marijuana,Smokings, Blunts
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000059 Accidents Unexpected and unintentional events, typically resulting in ACCIDENTAL INJURIES. Accident
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.

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