Objectives: In the United States, firearm injuries disproportionately occur in low-income communities and among racial and ethnic minority populations. Recognizing these patterns across social conditions is vital for effective public health interventions. Using timely and localized data, we examined the association between social vulnerability and firearm injuries in King County, Washington. Methods: For this ecological, cross-sectional study, we used health reporting areas (HRAs) (n = 61), a subcounty geography of King County. We obtained HRA-level counts of firearm injuries by using responses from King County emergency medical services (EMS) from 2019 through 2023. We measured HRA-level social vulnerability by using the Social Vulnerability Index (SVI) from the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, categorized into tertiles (low, moderate, and high SVI). We used bivariate choropleth mapping to illustrate spatial associations between SVI and rates of firearm injuries per 10 000 residents. We used Bayesian spatial negative binomial regression to quantify the strength of these associations. Results: Bivariate choropleth mapping showed a correlation between SVI and rates of firearm injuries. In spatial models, HRAs categorized as high SVI had a 3 times higher rate of firearm injuries than HRAs categorized as low SVI (incidence rate ratio = 3.01; 95% credible interval, 2.02-4.47). Rates of firearm injuries were also higher in HRAs categorized as moderate versus low SVI (incidence rate ratio = 1.72; 95% credible interval, 1.23-2.40). Conclusion: In King County, areas with high social vulnerability had high rates of EMS responses to firearm injuries. SVI can help identify geographic areas for intervention and provide a framework for identifying upstream factors that might contribute to spatial disparities in firearm injuries. © 2024, Association of Schools and Programs of Public Health.

Cannabis use during adolescence is associated with poor outcomes, including cognitive impairment, cannabis use disorder, and impaired driving. To guide prevention and use reduction strategies, Public Health - Seattle & King County described recent trends in cannabis use by sex among King County, Washington students in grades 8, 10, and 12 and examined trends in sex-based differences. Data collected during seven 2008-2021 survey periods by the Healthy Youth Survey (administered by the Washington State Department of Health) and restricted to King County students in grades 8, 10, and 12 (range = 33,439-39,391 students per cycle) were analyzed. Prevalence estimates were generated and sex-based prevalence differences (PDs) in current use (≥1 day during the previous 30 days) and frequent use (≥6 days during the previous 30 days) were assessed. PD models used weighted generalized linear regression with an interaction between sex and survey year. During 2008-2021, cannabis use declined among both male and female students. During 2008-2014, cannabis use was higher among male students than among female students (e.g., PD in 2008 = 4.8%) and not significantly different during 2014-2016; however, in 2021, current-use prevalence was lower among male students than among female students for the first time (PD = -1.3%). Frequent-use prevalence was similar among males and females. By grade levels, the highest prevalence of both current and frequent cannabis use was observed among 12th grade students, followed by 10th and 8th graders. Sex-specific differences by grade mirrored overall patterns. Developing tailored interventions that consider potential differences in risk and protective factors by sex or gender identity could promote equity in youth (grades 8, 10, and 12) cannabis use reduction measures.

Latent class analysis (LCA) has been effectively used to cluster multiple survey items. However, causal inference with an exposure variable, identified by an LCA model, is challenging because (1) the exposure variable is unobserved and harbors the uncertainty of estimating parameters in the LCA model and (2) confounding bias adjustments need to be done with the unobserved LCA-driven exposure variable. In addition to these challenges, complex survey design features and survey weights must be accounted for if they are present. Our solutions to these issues are to (1) assess point estimates with the expected estimating function approach and (2) modify the survey design weights with LCA-based propensity scores. This paper aims to introduce a statistical procedure to apply the estimating equation approach to assessing the effects of LCA-driven cause in complex survey data using an example of the National Health and Nutrition Examination Survey.

OBJECTIVES: This study aimed to provide identification criteria for men who have sex with men (MSM), estimate the prevalence of MSM behavior, and compare sociodemographics and sexually transmitted disease risk behaviors between non-MSM and MSM groups using data from a nationally representative, population-based survey. METHODS: Using data from men aged 18 to 59 years who took part in the National Health and Nutrition Examination Survey (NHANES), 1999 to 2014, detailed criteria were developed to estimate MSM behavior-at least one lifetime same-sex partner (MSM-ever), at least one same-sex partner in the past 12 months (MSM-current), and at least one lifetime and zero same-sex partners in the past 12 months (MSM-past). RESULTS: The estimated prevalence of MSM-ever was 5.5%-of these, 52.4% were MSM-current and 47.1% were MSM-past. Furthermore, MSM-ever are a nonhomogenous subpopulation, for example, 70.4% of MSM-current identified as homosexual and 71.2% of MSM-past identified as heterosexual (P < 0.001). CONCLUSIONS: The prevalence of MSM behavior identified here is similar to other published estimates. This is also the first article, to our knowledge, to use National Health and Nutrition Examination Survey data to compare MSM by 2 recall periods (recent vs. lifetime) of last same-sex sexual behavior.

Background: Approximately 19 million students attend post-secondary institutions in the US. With rates of sexually transmitted infections (STIs) at unprecedented highs, the college and university setting can provide the opportunity to engage young adults in their sexual health and deliver recommended services. The purpose of this study was to compare the provision of sexual health services at US college and university health centres across studies conducted in 2001 and 2014. Methods: We compared data from nationally representative surveys administered by the Centers for Disease Control and Prevention (2001, n=736 schools; 2014, n=482 schools), assessing the provision of services, including STI diagnosis and treatment, contraception, STI education, condom distribution and availability of health insurance. Results: Compared with 2001, statistically significant increases were observed in 2014, including in the provision of contraceptive services (56.1% vs 65.0%), HIV testing (81.5% vs 92.3%) and gonorrhoea testing (90.7% vs 95.8%). Significant decreases were found in the number of schools offering health plans (65.5% vs 49.4%) and specific modes of offering STI education, such as health fairs (82.3% vs 69.9%) and orientation presentations (46.5% vs 29.8%; all P<0.001). Conclusions: From 2001 to 2014, there have been some improvements in sexual health services at colleges and universities, but there are areas that require additional access to services. Schools may consider regular assessments of service provision in order to further promote sexual health services on college campuses.

We conducted a simulation study to illustrate that P values can suggest but not confirm statistical significance; and they may not indicate epidemiological significance (importance). We recommend that researchers consider reporting effect sizes as P values in conjunction with confidence intervals or point estimates with standard errors to indicate precision (uncertainty).

The incidence of human immunodeficiency virus (HIV) infection in the United States is higher among persons with other sexually transmitted diseases (STDs), and the incidence of other STDs is increased among persons with HIV infection (1). Because infection with an STD increases the risk for HIV acquisition and transmission (1-4), successfully treating STDs might help reduce the spread of HIV among persons at high risk (1-4). Because health department STD programs provide services to populations who are at risk for HIV, ensuring service integration and coordination could potentially reduce the incidence of STDs and HIV. Program integration refers to the combining of STD and HIV prevention programs through structural, service, or policy-related changes such as combining funding streams, performing STD and HIV case matching, or integrating staff members (5). Some STD programs in U.S. health departments are partially or fully integrated with an HIV program (STD/HIV program), whereas other STD programs are completely separate. To assess the extent of provision of HIV services by state and local health department STD programs, CDC analyzed data from a sample of 311 local health departments and 56 state and directly funded city health departments derived from a national survey of STD programs. CDC found variation in the provision of HIV services by STD programs at the state and local levels. Overall, 73.1% of state health departments and 16.1% of local health departments matched STD case report data with HIV data to analyze possible syndemics (co-occurring epidemics that exacerbate the negative health effects of any of the diseases) and overlaps. Similarly, 94.1% of state health departments and 46.7% of local health departments performed site visits to HIV care providers to provide STD information or public health updates. One fourth of state health departments and 39.4% of local health departments provided HIV testing in nonclinical settings (field testing) for STD contacts, and all of these programs linked HIV cases to care. STD programs are providing some HIV services; however, delivery of certain specific services could be improved.