Firearm Storage Behaviors - Behavioral Risk Factor Surveillance System, Eight States, 2021-2022.

Secure firearm storage might help reduce access by children and other unauthorized users and the related risk for injury or death. Information about state-specific prevalence of firearm storage practices can be used to develop secure storage messages and programs; however, such information is often unavailable. Data from the Behavioral Risk Factor Surveillance System, by respondent characteristics, were used to estimate prevalence of keeping firearms in or around the home and related storage practices for eight states that administered the firearm safety module in 2021 or 2022. Overall, 18.4% (California) to 50.6% (Alaska) of respondents reported that a firearm was kept in or around their home. Among those with a firearm in or around the home, 19.5% (Minnesota) to 43.8% (North Carolina) reported that a firearm was stored loaded. Across all eight states, approximately one half of those with a loaded firearm stored at least one loaded firearm unlocked. Among respondents with a child and a loaded firearm in the home, 25.2% (Ohio) to 41.4% (Alaska) reported that a loaded firearm was stored unlocked. Variability in firearm storage practices highlights the importance of local data and suggests opportunities to tailor prevention efforts to specific population groups to reduce risk for firearm handling by children without adult supervision, and other unauthorized persons.

Emergency Medical Services Encounters for Firearm Injuries - 858 Counties, United States, January 2019-September 2023.

Firearm-related deaths and injuries have increased in recent years. Comprehensive and timely information on firearm injuries and the communities and geographic locations most affected by firearm violence is crucial for guiding prevention activities. However, traditional surveillance systems for firearm injury, which are mostly based on hospital encounters and mortality-related data, often lack information on the location where the shooting occurred. This study examined annual and monthly rates of emergency medical services (EMS) encounters for firearm injury per 100,000 total EMS encounters during January 2019-September 2023 in 858 counties in 27 states, by patient characteristics and characteristics of the counties where the injuries occurred. Overall, annual rates of firearm injury EMS encounters per 100,000 total EMS encounters ranged from 222.7 in 2019 to 294.9 in 2020; rates remained above prepandemic levels through 2023. Rates were consistently higher among males than females. Rates stratified by race and ethnicity were highest among non-Hispanic Black or African American persons; rates stratified by age group were highest among persons aged 15-24 years. The greatest percentage increases in annual rates occurred in urban counties and in counties with higher prevalence of severe housing problems, higher income inequality ratios, and higher rates of unemployment. States and communities can use the timely and location-specific data in EMS records to develop and implement comprehensive firearm injury prevention strategies to address the economic, social, and physical conditions that contribute to the risk for violence, including improvements to physical environments, secure firearm storage, and strengthened social and economic supports.

Hired crop worker injury risks on farms in the United States during three different periods between 2002 and 2015.

BACKGROUND: Hired crop workers have high incidence of work-related injuries, but little has been documented about potential risks at the national level. METHODS: Data were obtained from a national probability sample of hired crop workers in the United States (U.S.) during 2002-2004 (period I), 2008-2010 (period II), and 2014-2015 (period III). Multivariable logistic regression models of work-related injury were constructed using an occupational exposure adjustment for weeks worked in the previous year. RESULTS: Hired crop workers reporting that their employer did not provide clean drinking water and disposable cups every day were estimated to be at greater odds of injury during all three periods. Having at least some English-speaking ability was associated with increased odds of injury in two periods, while owning a dwelling in the U.S. showed greater injury risk during period II but was associated with lower risk during period III. Other items significantly associated with injury during at least one of the study periods in the final multivariable logistic models included being a direct-hire, a migrant worker, U.S.-born, receiving public aid, and having a health condition. CONCLUSIONS: Hired crop workers are an extremely marginalized population of workers in the U.S. Innovative intervention methods must extend beyond traditional occupational models to focus on the overall health of hired crop workers, including increasing healthcare access, ending agricultural exceptionalism to provide equal regulatory protections afforded to workers in other industries, and adequate enforcement of existing regulations. These findings contribute to the understanding of correlates related to increased work-related injury among hired crop workers, and have implications in fields of prevention, intervention, and policy.

Prevalence estimates and factors associated with violence among older adults: National Intimate Partner and Sexual Violence (NISVS) Survey, 2016/2017.

Abuse of older adults is a public health problem. The National Intimate Partner and Sexual Violence Survey (NISVS) is a nationally-representative, telephone survey for non-institutionalized adults in the United States. To determine the prevalence and factors of intimate partner psychological aggression and physical violence and sexual violence by any perpetrator against older adults, we analyzed NISVS 2016/2017 data (n = 10,171, aged ≥ 60 years). Past 12-month prevalence of psychological aggression, physical violence, and sexual violence was 2.1%, 0.8%, and 1.7%, respectively. Odds of psychological aggression were significantly higher among those with hearing or vision impairment, and lower among those aged ≥70 years. Odds of physical violence were significantly higher for males and for those with hearing or vision impairment. Odds of sexual violence were significantly higher for unpartnered individuals and those with cognitive impairment; and lower for those aged ≥ 70 years. Epidemiologic studies of violence against older adults can inform population-specific prevention strategies.

Participation of Workers of Asian Ancestry in High-Risk Occupations in the United States: 2009 to 2017.

Risk for workplace injury varies by occupation. Participation in high-risk occupations is non-randomly distributed as a function of demographic characteristics. Enhancing understanding of occupational health and safety disparities allows for the creation of actionable knowledge to advance health equity. The specific aim of our analysis was to examine between-group differences in participation in high-risk occupations among workers with an Asian Indian, Chinese, Filipino, Japanese, Korean, and Vietnamese ancestry. Analysis included workers who reported one of the following ancestries: Asian Indian; Chinese; Filipino; Japanese; Korean; or Vietnamese. Observational study used American Community Survey (ACS) Public Use Microdata Sample (PUMS) single-year files from 2009 through 2017. Data on the analytic sample (unweighted = 480,170) was used to estimate per Full-Time Equivalents (FTEs) by year and Asian ancestry. Analysis used the replicate weight method to estimate margins of error. Statistical analysis indicated workers with a Filipino ancestry engage in high-risk occupations at the highest proportion. Observed between-group differences merit further scientific inquiry. Advancing metrology is crucial to promoting the health equity of understudied populations.

Firefighter Fatalities: Crude Mortality Rates and Risk Factors for Line of Duty Injury and Death.

The United States Fire Administration (USFA) provides high-quality data for firefighter deaths (FFDs), but until now these data have not been analyzed for temporal trends. This analysis explores FFDs between 1990 and 2016 to determine high-risk groups for outreach and training. Mortality rates were calculated using USFA information compared against the total number of deaths per year. Rates were compared between 1990-2009 (early period) and 2010-2016 (recent period). Multinomial logistic regression was used to determine predictors of death in firefighters (FFs) by age group (≤45 and >45 years old) and by work status (career vs volunteer). Analysis of 3159 FFDs revealed a decline in crude-rate mortality between 1990-2009 and 2010-2016 (47.4 vs 35 FF deaths per million, P < .0001). FFs of ≤45 years old were less likely to die in the 2010s than in the 1990s-2000s (13.7 vs 24.7 FF deaths per million, P = .0002). Trauma-related deaths decreased (13.1 vs 8.1, P = .0003), whereas CV-related deaths remained constant (19.4 vs 19.5, P = .24). Regression analysis determined that volunteer FFs were more likely to die from burns (OR 1.7, CI: 1.2-2.4, P < .0001) and trauma (OR 1.8, CI: 1.5-2.2, P < .0001) than career FFs. Younger FFs were also more likely to die from burns (OR 10.4, CI: 6.9-15.6, P < .0001) and trauma (OR 6.5, CI: 5.4-7.8, P < .0001). Although overall FFDs were lower after 2010, younger and volunteer FFs saw an increase in burn and trauma-related mortality. Cardiovascular-related fatalities were consistent throughout the study. Future research should continue to make use of high-standard data to track FFDs and efficacy of interventions.

Why Public Health Researchers Should Consider Using Disability Data from the American Community Survey.

The United States (US) federal government allocates hundreds of billions of dollars to provide resources to Americans with disabilities, older adults, and the poor. The American Community Survey (ACS) influences the distribution of those resources. The specific aim of the project is to introduce health researchers to Public Use Microdata Sample file from 2009 to 2011. The overall goal of our paper is to promote the use of ACS data relevant to disability status. This study provides prevalence estimates of three disability related items for the population at or over the age of 15 years who reside in one of the continental states. When population weights are applied to the 7,198,221 individuals in the sample under analysis, they are said to represent 239,641,088 of their counterparts in the US population. Detailed tabulations by state (provided as Microsoft Excel® spreadsheets in ACS output) clearly show disability prevalence varies from state-to-state. Because analyses of the ACS data have the ability to influence resources aiding individuals with physical mobility challenges, its use should be promoted. Particular attention should be given to monetary allocations which will improve accessibility of the existing built environment for the individuals with mobility impairment.

Nationwide Prevalence of Self-Reported Serious Sensory Impairments and Their Associations with Self-Reported Cognitive and Functional Difficulties.

PURPOSE: To estimate the nationwide prevalence of self-reported serious vision impairment (SVI), serious hearing impairment (SHI), and serious dual sensory impairment (DSI; i.e., concomitant SVI and SHI) and to characterize their associations with self-reported cognitive, independent living, self-care, and ambulatory difficulties. DESIGN: The American Community Survey (ACS) is a nationwide cross-sectional survey administered by the United States Census Bureau. PARTICIPANTS: The 2011-2015 ACS sample contains data on 7 210 535 individuals 45 years of age or older. METHODS: Descriptive statistics for each of the 4 mutually exclusive sensory impairment categories no sensory impairment (NSI), SVI, SHI, and serious DSI were calculated using the weighted sample. Adjusted odds ratios using several logistic regressions were calculated using the unweighted sample to measure the magnitude of associations between sensory impairment status and the outcome difficulties. MAIN OUTCOME MEASURES: Self-reported cognitive, independent living, self-care, and ambulatory difficulty. RESULTS: Among individuals 45 years of age or older, the estimated nationwide prevalence of self-reported SVI alone is 2.8%, that of SHI alone is 6.0%, and that of serious DSI is 1.6%. The prevalence of each sensory impairment increases with age. A greater proportion of American Indians or Alaskan Natives experience SVI (4.8%), SHI (8.5%), and serious DSI (3.7%) than any other race or ethnic group (P < 0.001). Individuals reporting serious DSI are more likely to report cognitive impairment, independent living difficulty, self-care difficulty, and difficulty ambulating than individuals with NSI across all age groups (all P < 0.001). Furthermore, serious DSI is associated with greater cognitive and functional difficulties than SVI or SHI alone, and SVI alone has a greater association with cognitive and functional difficulties than SHI alone. CONCLUSIONS: The nationwide prevalence of self-reported serious sensory impairment increases with age and is distributed unequally among different racial and ethnic groups. Any sensory impairment is associated with greater cognitive and functional difficulties than NSI. Additionally, serious DSI is associated with greater difficulties than SVI or SHI alone, and SVI alone is more serious than SHI alone in each of the 4 cognitive and functional difficulties.

Prevalence and Risk for Negative Disability Outcomes Between American Indians-Alaskan Natives and Other Race-Ethnic Groups in the Southwestern United States.

In the USA, some race-ethnic minorities are unjustly relegated to the margins of society. As a consequence, these groups are more frequently found to have risk profiles associated with adverse health than individuals from the majority group (non-Hispanic Whites). Limited research has been devoted to investigating how American Indians and Alaska Natives (AIANs) differ from other race-ethnic minorities and the majority group with regard to prevalence and risk for self-care, independent living, and ambulatory disabilities. Our investigation attempts to quantify both of these tracks by accounting for race-ethnic and poverty status. Our cross-sectional analysis used nationally representative data from the American Community Survey (ACS) 5-year (2009-2013) Public Use Microdata Sample (PUMS) file to address this literature gap. We selected survey participants from the four states with the largest concentration of AIANs in the USA (Arizona, California, New Mexico, and Oklahoma). We used information on 2,428,233 individuals to generalize prevalence of and risk for disability to 49,994,332 individuals in the Southwest US. We found disability (self-reported) prevalence differed between our six race-ethnic groups in statistically significant and complex ways. Population-weighted logistic regression analyses adjusting for age, sex, and citizenship found AIANs have a higher risk for disability than non-Hispanic Whites, non-Hispanic Asians, and Hispanics. In order to impact public health and build a more equitable society, efforts should continue to identify health disparities. Researchers should continue to advance conceptual frameworks on plausible causal mechanisms between markers of social stratification and disablement processes.

Social Security Disability Insurance May Reduce Benefits by 2016: Population at Financial Risk from Reductions.

In the United States, 10.9 million people are receiving Social Security Disability Insurance (SSDI) benefits with an average pay of $12,000 per year. If the U.S. House of Congress fails to enact a new bill by the end of fiscal-year 2016, SSDI benefits are estimated to be reduced by $2,300 per-person per year. In the pass, the U.S. Congress has always found a way to enact new bills capable of maintains benefits at existing levels. The specific aim of this project was to report the number of people potentially at risk for experiencing an economic impact if SSDI benefits are reduced. The cross-sectional analysis used data from the American Community Survey, 2009-2013 Public Use Microdata Sample file. Characteristics on a total of 153,627 actual survey participants were used to generalize findings to 2,748,735 residents of the United States. Results indicate non-Hispanic Whites, the Pacific and South Atlantic geographic divisions are at the largest risk for being affected by changes to SSDI benefits.