Preventive medicine
-
Preventive medicine · Dec 2022
Centering racial justice for Black/African American and indigenous American people in commercial tobacco product regulation.
Although overall health in the United States (US) has improved dramatically during the past century, long-standing health inequities, particularly the unequal and unjust burden of tobacco-related disease and death among racialized populations, persist. A considerable gap exists in our understanding of how commercial tobacco product regulations and policies cause and/or exacerbate race-based health inequities among Black/African American (B/AA) and Indigenous American people. The purpose of this paper is to 1) describe how existing US commercial tobacco regulatory policies may contribute to structural racism and undermine the full benefits of tobacco prevention and control efforts among B/AA and Indigenous American groups; and 2) initiate a call to action for researchers and regulators of tobacco products to examine policies using an equity lens. These actions are imperative if empirically-informed regulation of commercial tobacco products is to address health equity.
-
Preventive medicine · Dec 2022
Understanding factors associated with firearm possession: Examining differences between male and female adolescents and emerging adults seeking emergency department care.
Firearm possession increases the likelihood of hospital visits among adolescents and emerging adults for both males and females. To better inform prevention practices, we examine data among adolescents and emerging adults (A/EAs; ages 16 to 29) presenting to an urban emergency department for any reason to understand the differences in firearm possession between males and females (N = 1312; 29.6% male; 50.5% Black). Regression identified firearm possession correlates, such as male sex (AOR = 2.26), firearm attitudes (AOR = 1.23), peer firearm possession (AOR = 9.84), and community violence exposure (AOR = 1.02). ⋯ An interaction between sex and firearm attitudes demonstrated that firearm attitudes were differentially associated with firearm possession between female and male A/EAs (AOR = 1.28). Overall, we found that females are more likely to endorse retaliatory firearm attitudes, and both males and females are highly influenced by their perception of peer firearm possession. These results help inform prevention strategies across multiple settings, especially for hospital-based violence interventions, and suggest that tailored approaches addressing differences between male and female A/EAs are appropriate when addressing firearm violence and injury risk among A/EAs.
-
Preventive medicine · Dec 2022
Intersections between environmental reward availability, loss aversion, and delay discounting as potential risk factors for cigarette smoking and other substance use.
Behavioral theory suggests that density of environmental rewarding activities and biases in decision making influence risk for substance use disorder (SUD). To better understand intersections of these potential risk factors, this study examined whether environmental reward predicted smoking status or other drug use and whether such associations were independent of two decision-making biases known to predict SUD risk, namely loss aversion and delay discounting. Individuals that reported current daily cigarette smoking (n = 186; >10 cigarettes/day) and never-smoking (n = 241; <100 cigarettes lifetime) were recruited with standard crowdsourcing methods. ⋯ We saw no evidence that RPI was significantly influencing associations between LA and DD with smoking status or other substance use. Finally, RPI, but not LA or DD, was significantly associated with depressed mood and sleep disturbance. These results provide new evidence on associations of RPI with smoking status and other substance use while further documenting independent associations between LA and DD and those outcomes.
-
For every fatal shooting in the United States, detailed information from reports of coroners or medical examiners, police departments, and other sources is recorded in the National Violent Death Reporting System. There is no such system in place for nonfatal shootings, which far outnumber fatalities. Hospital data systems are in place that could, with some improvements, provide access to reliable local, state and national estimates of firearm injuries. ⋯ There are ongoing efforts to increase participation in the new system and restore its former status as the leading source of national crime estimates. In the meantime, data on nonfatal gunshot cases are available from a number of police departments. We discuss additional reforms needed to generate timely, accurate, publicly accessible data from hospitals and police.
-
Preventive medicine · Dec 2022
Reprint of "Using multiple imputation by super learning to assign intent to nonfatal firearm injuries".
The number of nonfatal firearm injuries in the US by intent (e.g., due to assault) is not reliably known: First, although the largest surveillance system for hospital-treated events, the Healthcare Cost and Utilization Project Nationwide Emergency Department Sample (HCUP-NEDS), provides accurate data for the number of nonfatal firearm injuries, injury intent is not coded reliably. Second, the system that reliably codes intent, the CDC's National Electronic Injury Surveillance System - Firearm Injury Surveillance Study (NEISS-FISS), while large enough to produce stable estimates of the distribution of intent, is too small to produce stable estimates of the number of these events. Third, a large proportion of cases in NEISS-FISS, notably in early years of the system, are coded as of "undetermined intent." Trends in the proportion of nonfatal firearm injuries by intent in NEISS-FISS thus depend on whether these cases are treated as a distinct category, or, instead, can be re-classified through imputation. ⋯ Trends in the number of nonfatal firearm injuries by intent, 2006-2016, derived in our two-step process, are relatively flat. Multiple imputation strategies recovered intent distribution trends that differed from trends derived using methods that are not designed to account for the multiple complex relationships of missingness present in NEISS - FISS data. When applied to NEISS - FISS, MISL imputation produces plausible distributional estimates of firearm injury by intent.