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Heroin overdose, more accurately termed ‘heroin-related overdose’ due to the frequent involvement of other drugs, is the leading cause of mortality among regular heroin users. (Degenhardt et al., 2010) Heroin injectors are at greater risk of hospital admission for heroin-related overdose (HOD) in the eastern United States where Colombian-sourced powder heroin is sold than in the western US where black ‘tar’ heroin predominates. (Unick et al., 2014) This paper examines under-researched influences on HOD, both fatal and non-fatal, using data from a qualitative study of injecting drug users of black tar heroin in San Francisco and powder heroin in Philadelphia Data were collected through in-depth, semi-structured interviews carried out in 2012 that were conducted against a background of longer-term participant-observation, ethnographic studies of drug users and dealers in Philadelphia (2007–12) and of users in San Francisco (1994–2007, 2012). Our findings suggest three types of previously unconsidered influences on overdose risk that arise both from structural socio-economic factors and from the physical properties of the heroin source-types: 1) retail market structure including information flow between users; 2) marketing techniques such as branding, free samples and pricing and 3) differences in the physical characteristics of the two major heroin source forms and how they affect injecting techniques and vascular health. Although chosen for their contrasting source-forms, we found that the two cities have contrasting dominant models of drug retailing: San Francisco respondents tended to buy through private dealers and Philadelphia respondents frequented an open-air street market where heroin is branded and free samples are distributed, although each city included both types of drug sales. These market structures and marketing techniques shape the availability of information regarding heroin potency and its dissemination among users who tend to seek out the strongest heroin available on a given day. The physical characteristics of these two source-types, the way they are prepared for injecting and their effects on vein health also differ markedly. The purpose of this paper is to examine some of the unexplored factors that may lead to heroin-related overdose in the United States and to generate hypotheses for further study. [ABSTRACT FROM AUTHOR]

Abstract Previous research findings across a variety of nations show that affiliation with the conservative party is associated with greater longevity; however, it is thus far unclear what characteristics contribute to this relationship. We examine the political party/mortality relationship in the United States context. The goal of this paper is two-fold: first, we seek to replicate the mortality difference between Republicans and Democrats in two samples, controlling for demographic confounders. Second, we attempt to isolate and test two potential contributors to the relationship between political party affiliation and mortality: (1) socioeconomic status and (2) dispositional traits reflecting a personal responsibility ethos, as described by the Republican party. Graduate and sibling cohorts from the Wisconsin Longitudinal Study were used to estimate mortality risk from 2004 to 2014. In separate Cox proportional hazards models controlling for age and sex, we adjusted first for markers of socioeconomic status (such as wealth and education), then for dispositional traits (such as conscientiousness and active coping), and finally for both socioeconomic status and dispositional traits together. Clogg's method was used to test the statistical significance of attenuation in hazard ratios for each model. In both cohorts, Republicans exhibited lower mortality risk compared to Democrats (Hazard Ratios = 0.79 and 0.73 in graduate and sibling cohorts, respectively [p < 0.05]). This relationship was explained, in part, by socioeconomic status and traits reflecting personal responsibility. Together, socioeconomic factors and dispositional traits account for about 52% (graduates) and 44% (siblings) of Republicans' survival advantage. This study suggests that mortality differences between political parties in the US may be linked to structural and individual determinants of health. These findings highlight the need for better understanding of political party divides in mortality rates. Highlights • Republicans have greater longevity compared to Democrats, adjusting for demographics. • This relationship is partly explained by Republican's higher socioeconomic status. • This relationship is partly explained by Republican's personal responsibility ethos. [ABSTRACT FROM AUTHOR]

Socioeconomic inequalities in childhood Body Mass Index (BMI) are becoming increasingly more pronounced across the world. Although countries differ in the direction and strength of these inequalities, cross-national comparative research on this topic is rare. This paper draws on harmonized longitudinal cohort data from four wealthy countries—Germany, the Netherlands, the United Kingdom (UK), and the United States (US)—to 1) map cross-country differences in the magnitude of socioeconomic inequalities in childhood BMI, and 2) to examine cross-country differences in the role of three energy-balance-related behaviors—physical activity, screen time, and breakfast consumption—in explaining these inequalities. Children were aged 5–7 at our first timepoint and were followed up at age 8–11. We used data from the German National Educational Panel Study, the Dutch Generation R study, the UK Millennium Cohort Study and the US Early Childhood Longitudinal-Kindergarten Study. All countries revealed significant inequalities in childhood BMI. The US stood out in having the largest inequalities. Overall, inequalities between children with low versus medium educated parents were smaller than those between children with high versus medium educated parents. The role of energy-balance-related behaviors in explaining inequalities in BMI was surprisingly consistent. Across countries, physical activity did not, while screen time and breakfast consumption did play a role. The only exception was that breakfast consumption did not play a role in the US. Cross-country differences emerged in the relative contribution of each behavior in explaining inequalities in BMI: Breakfast consumption was most important in the UK, screen time explained most in Germany and the US, and breakfast consumption and screen time were equally important in the Netherlands. Our findings suggest that what constitutes the most effective policy intervention differs across countries and that these should target both children from medium as well as low educated families. • All countries showed substantial socioeconomic inequalities in childhood BMI. • In all countries, inequalities in BMI steepen over course of primary school. • Protective factors among the most advantaged seem to mainly drive inequalities. • Across most countries, underlying mechanisms for inequalities in BMI are similar. • The relative contribution of each mechanism to BMI inequalities differs per country. [ABSTRACT FROM AUTHOR]