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2.
Prev Med ; 104: 4-6, 2017 Nov.
Article in English | MEDLINE | ID: mdl-28232101

ABSTRACT

In November 2012 Colorado voters approved legalized recreational marijuana. On January 1, 2014 Colorado became the first state to allow legal sales of non-medical marijuana for adults over the age of 21. Since that time, the state has been monitoring potential impacts on population health. In this paper we present lessons learned in the first three years following legal sales of recreational marijuana. These lessons pertain to health behaviors and health outcomes, as well as to health policy issues. Our intent is to share these lessons with other states as they face the prospect of recreational marijuana legalization.


Subject(s)
Cannabis , Health Impact Assessment , Legislation, Drug , Marijuana Smoking/legislation & jurisprudence , Recreation , Adult , Colorado , Commerce , Health Policy , Humans
3.
J Stud Alcohol Drugs ; 77(4): 580-8, 2016 07.
Article in English | MEDLINE | ID: mdl-27340962

ABSTRACT

OBJECTIVE: The purpose of this study was to assess the prevalence of modes of marijuana consumption among Colorado youth and explore variation by demographics, access, substance use, and risk perceptions. METHOD: Data are from a 2013 survey of Colorado high school students (N = 25,197; 50.5% female). The outcome variable was usual mode of marijuana consumption (i.e., smoking, vaporizing, ingesting edibles, or other) among those reporting past 30-day marijuana use. Classification variables included sex, grade level, race/ethnicity, sexual orientation, current alcohol and cigarette use, frequent marijuana use, early marijuana use (<13 years), perceived harmfulness, and perceived wrongfulness. We calculated prevalence estimates overall and by the variables listed above, and also conducted multinomial logistic regression models. RESULTS: Findings indicate that 15% of Colorado high school students who use marijuana report that they usually use a mode of consumption other than smoking. Among students reporting past 30-day marijuana use, 85% said smoking was their usual mode of consumption. The remainder reported that their usual mode of consumption was vaporizing (6%), ingesting edibles (5%), or another method (4%). Boys, Whites, Asians, and 12th graders were the most likely to report vaporizing. High perceived harmfulness was associated with vaporizing or ingesting edibles. CONCLUSIONS: The majority of Colorado youth who use marijuana usually smoke it. Youth may be using vaporizers and ingesting edibles as a way to reduce the harm associated with inhaling combusted smoke.


Subject(s)
Adolescent Behavior , Marijuana Smoking/epidemiology , Students/statistics & numerical data , Adolescent , Colorado , Ethnicity , Female , Humans , Male , Prevalence , Surveys and Questionnaires
4.
Public Health Rep ; 130(2): 153-60, 2015.
Article in English | MEDLINE | ID: mdl-25729104

ABSTRACT

OBJECTIVES: Industry and occupation variables are overlooked in many public health surveillance efforts, yet they are useful for describing the burden and distribution of various public health diseases, behaviors, and conditions. This study is the first ever analysis of the Colorado Behavioral Risk Factor Surveillance System (BRFSS) to describe chronic conditions and risk behaviors by occupation. It is intended to provide a new perspective on this existing data source and demonstrate the value of occupation as a core demographic variable for public health research, policy, and practice. METHODS: Two standardized employment questions were included in the 2012 Colorado BRFSS survey and administered to eligible survey respondents who were employed, self-employed, or out of work for less than one year. Occupation data were coded using the National Institute for Occupational Safety and Health (NIOSH) Industry and Occupation Computerized Coding System. We analyzed health behaviors and conditions by major occupation groups. We calculated prevalence estimates and 95% confidence intervals (CIs). RESULTS: The prevalence of chronic conditions, health statuses, and risk behaviors (e.g., smoking and seatbelt use) varied significantly by occupation. For example, compared with all workers (93.6%, 95% CI 92.7, 94.5), significantly fewer workers in farming, forestry, fishing and construction, extraction jobs (87.0%, 95% CI 82.0, 92.0) reported always or nearly always wearing a seatbelt while driving. Additionally, significantly more office and administrative support workers (27.5%, 95% CI 22.5, 32.4) compared with all workers (20.6%, 95% CI 19.3, 22.0) were obese. Further observation and research is needed to understand the effects of occupation on health outcomes and behaviors. CONCLUSION: There are no other Colorado state-level datasets that link health behaviors and chronic conditions with occupation. This study shows that the prevalence of chronic conditions and risk behaviors varies substantially by occupation. Other states conducting the BRFSS may choose to adopt the NIOSH industry and occupation module and add other questions to further investigate health issues by occupation.


Subject(s)
Behavioral Risk Factor Surveillance System , Chronic Disease/epidemiology , Health Status , Industry/statistics & numerical data , Occupations/statistics & numerical data , Public Health Surveillance , Adult , Colorado/epidemiology , Datasets as Topic , Humans , Male , Middle Aged , Morbidity , Risk-Taking
5.
Matern Child Health J ; 18(4): 772-7, 2014 May.
Article in English | MEDLINE | ID: mdl-23948805

ABSTRACT

Inadequate weight gain in pregnancy is a major contributor to low birth weight in Colorado, where the low birth weight rate is among the highest in the nation. In 2004, the Colorado Department of Public Health and Environment implemented a population-based intervention in 9 counties, including provider training and a public media campaign, to encourage pregnant women to gain an adequate amount of weight in pregnancy as defined by the 1990 Institute of Medicine guidelines. Pregnancy Risk Assessment Monitoring System survey data were used to track weight gain in pregnancy in 1997 through 2004 (baseline), 2005 (post-intervention), and 2006 and 2007 (after the intervention had concluded). During the period immediately after the implementation of the intervention, the percentage of women delivering in the 9 study counties who gained an inadequate amount of weight during pregnancy dropped from 18.4 at baseline to 12.8 in 2005. However, this progress was reversed in 2006, when the percentage of women with inadequate weight gain rose to 19.7. Training providers to educate women about the importance of adequate weight gain in pregnancy, in conjunction with a social marketing campaign, appears to be a promising approach to addressing a major contributor to low birth weight. However, a time-limited intervention is likely to have temporary results.


Subject(s)
Obesity/prevention & control , Patient Education as Topic/organization & administration , Pregnancy Complications/prevention & control , Pregnancy Outcome , Weight Gain , Adolescent , Adult , Age Factors , Body Mass Index , Colorado , Cross-Sectional Studies , Female , Gestational Age , Health Surveys , Humans , Maternal Welfare , Obesity/epidemiology , Pregnancy , Program Evaluation , Young Adult
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