Concentration of Cannabis and Tobacco Retailers in Los Angeles County, California: A Spatial Analysis of Potential Effects on Youth and Ethnic Minorities.

OBJECTIVE: Cannabis and tobacco retailers are believed to cluster in areas with more racial/ethnic minorities, which could account for the disproportionate use of blunts in Black and Hispanic communities. The current study examined the spatial relationship between cannabis and licensed tobacco retailers in Los Angeles County, California, and assessed whether various neighborhood and business factors influenced the spatial patterning. METHOD: Generalized additive models were used to test the association between the location of cannabis retailers (N = 429) and their accessibility potential (AP) to tobacco retailers (N = 8,033). The covariates included cannabis licensure status, median household income, population density, percentages of racial/ ethnic minorities and young adults (18-34), unemployment status, families living in poverty, minimum completion of high school/General Educational Development (GED) credential, and industrial businesses by census tract. RESULTS: The location of cannabis retailers was significantly associated with AP in all adjusted models (p < .005). The percentage of racial/ethnic minorities, age (18-34 years), and nonlicensure of cannabis retailers, which were positively correlated with AP (p < .05), confounded the association between AP and cannabis retailer location. CONCLUSIONS: The concentration of unlicensed cannabis retailers and tobacco retailers in young and racially/ethnically diverse neighborhoods may increase access to and use of cigarillos for blunt smoking. Jurisdictions within Los Angeles County should consider passing ordinances requiring minimum distances between cannabis and tobacco retailers.

Smoke at night and sleep worse? The associations between cigarette smoking with insomnia severity and sleep duration.

OBJECTIVE: Insomnia is a clinically verified nicotine withdrawal symptom. As nicotine is a stimulant, it is plausible that smoking at night could disturb sleep more than smoking at earlier times of the day, but this remains empirically unclear. This study examined smoking status and its associations with insomnia severity and sleep duration while considering the potential role of smoking time. METHODS: Data were derived from the Sleep and Healthy Activity Diet Environment and Socialization study, a community-based study of 1007 adults (nnonsmokers = 818; nsmokers = 189) aged 22-60 from the Philadelphia area. Smoking status and time of smoking were self-reported. Insomnia was assessed with the Insomnia Severity Index and categorized as none, mild, and moderate-to-severe. Sleep duration was assessed with one item from the National Health and Nutrition Examination Survey and categorized as very short, short, normal, and long. Ordinal and multinomial logistic regressions were used to determine the association of smoking status including smoking time with insomnia severity and sleep duration controlling for sociodemographic covariates. RESULTS: Compared to nonsmoking, smoking was associated with experiencing increased insomnia (odds ratio = 2.5, 95% confidence interval [CI] 1.9, 3.4, P < .001) as well as very short (relative risk ratio = 1.9, 95% CI 1.1, 3.3) and short (relative risk ratio = 1.5, 95% CI 1.0, 2.3) sleep (vs normal sleep duration). Night-time smoking was significantly associated with greater insomnia and shorter sleep duration. CONCLUSIONS: Findings provide evidence that smoking is associated with increased insomnia severity and shorter sleep duration, particularly nightly smoking. Sleep health should be considered in smoking cessation efforts.