changes in these measures under two scenarios, was significantly automated by the open-access resource, InterMAHP.
  The desire for many novel, concurrent, uncommitted sex partners (i.e., unrestricted sociosexuality) may encourage individuals to seek out contexts that facilitate casual sex. We tested a model in which the effects of sociosexuality on sex with new partners were mediated via drinking in specific contexts. We hypothesized that drinking at parties and bars, which are known to facilitate casual sex (but not drinking at home), would contribute to sex with new (but not with previous) partners.
 
  Participants were 427 male freshmen from a large, public northeastern university. They completed a baseline survey in their first semester followed by 56 days of daily reports on drinking and sexual activity during their second semester.
 
  As predicted, sociosexuality measured at baseline positively predicted occasions of sex with a new partner, but not sex with a previous partner. In support of the model, effects were partially mediated by frequency of drinking at parties and bars across the 56-day reporting period, but not by drinking at home.
 
  Previous research has demonstrated associations among sociosexuality, drinking, and casual sex. Our study is unique in suggesting that drinking in specific contexts--that is, drinking at parties and bars, but not drinking at home--partially mediates the effects of sociosexuality on sex with new partners. This pathway suggests that men with a desire for many novel, concurrent, uncommitted sex partners seek out drinking contexts as a way of facilitating these encounters.
 Previous research has demonstrated associations among sociosexuality, drinking, and casual sex. Our study is unique in suggesting that drinking in specific contexts--that is, drinking at parties and bars, but not drinking at home--partially mediates the effects of sociosexuality on sex with new partners. This pathway suggests that men with a desire for many novel, concurrent, uncommitted sex partners seek out drinking contexts as a way of facilitating these encounters.
  The Kilimanjaro region has one of the highest rates of reported alcohol use per capita in Tanzania. Alcohol-related risky behaviors pose substantial threats to the health and well-being of alcohol users and the people around them. This study seeks to understand how alcohol-related risky behaviors co-occur with other risky behaviors.
 
  Latent class analysis (LCA) was applied to examine alcohol-related risky behaviors. The optimal number of latent classes was confirmed by using model fit indices. Negative binomial models were used to test latent classes and their association with harmful and hazardous drinking and perceived alcohol stigma. With the model defined, we explored each class's drinking patterns and risky behavior patterns.
 
  A total of 622 (60% male) of 841 participants were included in these analyses because they drank alcohol at least once in their lifetime. Three classes of risky behavior patterns were identified Class 1, "Limited risk behaviors" (59.7%); Class 2, "Primarily foolish behaviors" (25.6%); and Class 3, "Pervasive risk behaviors" (13.1%). Class 3 had the most alcohol use quantity and frequency. No association between classes and alcohol stigma was found. Compared with males, females are less likely to be classified in Class 2 and 3.
 
  Three different classes of risky behaviors became apparent and were distinguished by gender, age, and personal alcohol use. Our findings suggest a potential role for personalized interventions based on latent classes specifically to reduce risk behaviors.
 Three different classes of risky behaviors became apparent and were distinguished by gender, age, and personal alcohol use. Our findings suggest a potential role for personalized interventions based on latent classes specifically to reduce risk behaviors.
  This study estimated the percentage of age 35 and 55 adults reporting using medical marijuana intended for someone else (diverted use) and compared demographics and health status of such users with respondents reporting recommended use (i.e., individuals with a medical marijuana recommendation for their own health conditions) and to respondents using marijuana not intended for medical use (nonmedical marijuana [NMM] use).
 
  Cross-sectional analyses were conducted using complex sample survey data collected from 2013 to 2018 from 12,138 adults (6,998 women) at modal ages 35 or 55 participating in the U.S. national Monitoring the Future study.
 
  Diverted use was reported by 72.9% [95% CI, 66.4, 79.4] and 64.3% [56.0, 72.7] of age 35 and 55 past-12-month medical marijuana users, respectively. Age 35 diverted users were more likely than recommended users to not work full time and have no postsecondary education. Age 55 recommended users were more likely than NMM users to be retired.  https://www.selleckchem.com/products/pepstatin-a.html  Age 35 diverted users were less likely than recommended users to report poor physical health (odds ratio [OR] = 0.40 [0.17, 0.94]). Age 55 diverted users were less likely than recommended users to report three or more poor health conditions (OR = 0.22 [0.09, 0.55]) and any qualifying conditions (OR = 0.21 [0.08, 0.58]). Prevalence of these conditions was similar between diverted and NMM users.
 
  Results indicated a substantial degree of nonmedical (i.e., recreational) marijuana use. Diverted and NMM users reported generally similar levels of health conditions, whereas diverted users had fewer indicators of poor health than recommended users.
 Results indicated a substantial degree of nonmedical (i.e., recreational) marijuana use. Diverted and NMM users reported generally similar levels of health conditions, whereas diverted users had fewer indicators of poor health than recommended users.
  Electronic cigarettes (e-cigarettes) have gained popularity as a method to reduce conventional cigarette smoking, despite mixed evidence on their effectiveness. This study evaluates the relationship between overall and product-specific nicotine dependence and the transitions between dual use of cigarettes and e-cigarettes versus exclusive cigarette or e-cigarette use over time.
 
  This study used data from Waves 1-3 (2013-2016) of the Population Assessment of Tobacco and Health (PATH) Study. Weighted logistic regressions with person-level random effects tested relationships between nicotine dependence and dual versus exclusive use over time. Dual use transitions were then compared with the characteristics of e-cigarette devices used and reasons to use them.
 
  Higher tobacco dependence was associated with becoming or remaining a dual user rather than remaining or becoming an exclusive user of cigarettes or e-cigarettes (p < .05). Higher e-cigarette dependence was associated with remaining or becoming an exclusive e-cigarette user.