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1.
Prev Chronic Dis ; 17: E110, 2020 09 24.
Article in English | MEDLINE | ID: mdl-32975510

ABSTRACT

INTRODUCTION: Research from tobacco and alcohol markets suggests advertising exposure is associated with perceptions of lower risk and increased use among young people. Limiting marketing may be a regulatory approach to prevent potential negative effects of retail marijuana legalization on youth use. This study assessed marijuana advertising exposure reported by youths in Oregon after the start of retail marijuana sales in October 2015. METHODS: Data from a 2017 school-based survey of Oregon 8th (N = 14,852) and 11th (N = 11,895) graders were used to characterize marijuana advertising exposure. Subgroup differences in reported exposure were assessed by using Pearson χ2 tests and multiple logistic regression. RESULTS: About three-quarters of 8th (72.2%) and 11th graders (78.1%) in Oregon reported seeing marijuana advertising in the past month. Youths most frequently reported seeing advertising on storefronts and online, and odds of exposure were significantly higher for girls; lesbian, gay, or bisexual youths; current marijuana users; 8th graders living with an adult who uses marijuana; and youths in school districts with a closer average proximity to retail marijuana stores. CONCLUSION: Reporting exposure to marijuana advertising is common among youths in Oregon's legal retail market. Oregon and other states working to prevent youth marijuana use may want to examine how well their rules are working to prevent youth exposure. Although some sources of youth advertising exposure may be difficult to regulate and enforce (eg, online), others may be within the purview of state authority (eg, billboards, storefronts) depending on state-specific interpretation of free speech protections.


Subject(s)
Advertising/statistics & numerical data , Marijuana Use , Adolescent , Female , Humans , Male , Oregon , Schools , Surveys and Questionnaires
2.
Am J Public Health ; 109(9): 1294-1301, 2019 09.
Article in English | MEDLINE | ID: mdl-31318588

ABSTRACT

Objectives. To assess the relationship between adult cannabis use and time-varying local measures of retail cannabis market presence before and after legalization (2012) and market opening (2014) in Washington State.Methods. We used 2009 to 2016 data on 85 135 adults' current (any) and frequent (20 or more days) past-month cannabis use from the Washington Behavioral Risk Factor Surveillance System linked to local retailer proximity and density. Multilevel models predicted use over time, accounting for nesting within communities.Results. Current and frequent cannabis use grew significantly between 2009 and 2016; use did not significantly change immediately after legalization but increased subsequently with greater access to cannabis retailers. Specifically, current use increased among adults living in areas within 18 miles of a retailer and, especially, within 0.8 miles (odds ratio [OR] = 1.45; 95% confidence interval [CI] = 1.24, 1.69). Frequent use increased among adults living within 0.8 miles of a retailer (OR = 1.43; 95% CI = 1.15, 1.77). Results related to geospatial retailer density were consistent.Conclusions. Increasing cannabis retail access was associated with increased current and frequent use.Public Health Implications. Policymakers might consider density limits as a strategy for preventing heavy cannabis use among adults.


Subject(s)
Cannabis , Marijuana Use/epidemiology , Marijuana Use/legislation & jurisprudence , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Legislation, Drug , Male , Middle Aged , Risk Factors , Washington , Young Adult
3.
Prev Chronic Dis ; 13: E40, 2016 Mar 24.
Article in English | MEDLINE | ID: mdl-27010843

ABSTRACT

Although monitoring childhood obesity prevalence is critical for state public health programs to assess trends and the effectiveness of interventions, few states have comprehensive body mass index measurement systems in place. In some states, however, assorted school districts collect measurements on student height and weight as part of annual health screenings. To estimate childhood obesity prevalence in Alaska, we created a logistic regression model using such annual measurements along with public data on demographics and socioeconomic status. Our mixed-effects model-generated prevalence estimates validated well against weighted estimates, with 95% confidence intervals overlapping between methodologies among 7 of 8 participating school districts. Our methodology accounts for variation in school-level and student-level demographic factors across the state, and the approach we describe can be applied by other states that have existing nonrandom student measurement data to estimate childhood obesity prevalence.


Subject(s)
Mass Screening/methods , Pediatric Obesity/epidemiology , Alaska/epidemiology , Body Mass Index , Child , Female , Humans , Logistic Models , Male , Schools , Social Class , Students
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