Constructing a South Asian cardiovascular disease: a qualitative analysis on how researchers study cardiovascular disease in South Asians.

BACKGROUND: Debates on the use of race in biomedical research have typically overlooked immigrant groups outside of the black-white racial dichotomy. Recent biomedical research on South Asians and cardiovascular disease provides an opportunity to understand how scientists define race and interpret racial health disparities from an underexamined perspective. PURPOSE: To examine how researchers in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study defined a South Asian population, and then compared health differences between South Asians and other populations. METHODS: Qualitative content analysis was performed on eleven articles from August 2013 to January 2021 that directly compared the South Asian cohort in MASALA to four other groups. The MASALA study design article was also included in this analysis. Articles were analysed for how South Asians were defined, and for how health differences between South Asians and other populations were studied and discussed. RESULTS: Researchers in MASALA were neither clear nor precise in defining South Asians as either an ancestral group or ethnic group. Their studies also prioritised investigating genetic and molecular causes of the cardiovascular health disparity between South Asians and other populations and failed to examine possible social factors. CONCLUSIONS: These findings reflect a broader trend in biomedical research in which race and racial health disparities are poorly defined and studied, limiting scientists' understanding of the relationship between race and health. I propose methodologies to help researchers define populations and design studies without relying on biologically reductive assumptions.

Trends in Assault Mortalities Among Asian Americans, 2009-2018.

INTRODUCTION: As of yet, few studies have described the prevalence or rates of assault mortalities involving Asian victims on a national level. This study aimed to describe yearly trends and regional differences in assault mortalities among Asians. METHODS: This repeat cross-sectional study from 2009 to 2018 used data from the Mortality Multiple Cause-of-Death Public Use Record from the National Center for Health Statistics and the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research. Total and proportion of assault mortalities involving Asians or Pacific Islanders were calculated by year. Total and rates (per 100,000 Asians or Pacific Islanders) of assault mortalities among Asians or Pacific Islanders were stratified by state and county classification where deaths occurred. RESULTS: In 2009, 344 assault mortalities among Asians or Pacific Islanders accounted for 2.07% of assault-related deaths. In 2018, 366 assault mortalities among Asians or Pacific Islanders accounted for 1.96% of assault-related deaths. Furthermore, there were more assault mortalities from 2009 to 2018 among Asians or Pacific Islanders in California (n = 1116) and large central metropolitan counties (n = 1707). However, the highest rates of assault mortalities were in Alaska and Mississippi (7.1 and 6.8 per 100,000, respectively) and noncore nonmetropolitan counties (2.9 per 100,000). CONCLUSIONS: These findings emphasize the importance of studying and addressing violence toward Asians in rural regions and Southern states. Future studies should use these results as a baseline to analyze mortality data from 2019 to 2021, when available, to examine the coronavirus disease 2019 pandemic's impact on assault mortalities among Asian.

Racial Differences in Firearms Used and Autopsies Following Gun Deaths Exist.

INTRODUCTION: Disparities in gun violence across race are well documented. Studying these disparities is essential to reduce preventable gun deaths. This study evaluates the relationship between sociodemographic factors and firearms used in gun deaths. MATERIALS AND METHODS: This retrospective cohort study of firearm mortalities from 2009 to 2018 used the Mortality Multiple Cause-of-Death Public Use Record from the National Center for Health Statistics. The primary outcome was the type of firearm used and the secondary outcome was autopsy status. Factors of interest include race, ethnicity, gender, marital status, age, education, and place of death. Factors significantly associated with outcomes in univariate analyses were included in separate multivariate logistic regression models for assaults, intentional self-harm, and accidents. RESULTS: A total of 276,127 firearm deaths from 2009 to 2018 were analyzed. Compared to White victims, Black victims were less likely to die from handguns (accident: odds ratio [OR] = 0.70, P < 0.05; self-harm: OR = 0.84, P < 0.001; assault: OR = 0.58, P < 0.001) and rifles, shotguns, or large firearms (accident: OR = 0.30, P < 0.001; self-harm: OR = 0.37, P < 0.001; assault: OR = 0.28, P < 0.001). Black decedents were more likely to undergo autopsy than White decedents (accident: OR = 2.14, P < 0.001; intentional self-harm: OR = 2.02, P < 0.001; assault: OR = 2.02, P < 0.001). Ethnicity, gender, marital status, age, education, and other racial identities were also associated with firearms used and autopsy rates (P < 0.05). CONCLUSIONS: Differences in firearms used and autopsy rates following gun deaths exist by race, ethnicity, gender, marital status, age, and education. Future studies should investigate the relationship between sociodemographic factors and firearms used and autopsy status following gun deaths.

Racial and ethnic demographics in malnutrition related deaths.

BACKGROUND AND AIMS: Currently, 40 million Americans are food insecure. They are forced to skip meals and buy non-nutritious food, leading to health disparities for those of low socioeconomic status. This study aims to investigate relationships between malnutrition deaths and sociodemographic groups. METHODS: This cross-sectional study from 2009 to 2018 used aggregate data from the CDC Wide-ranging Online Data for Epidemiologic Research (CDC Wonder). Patients with known race, gender, and Hispanic origin age ≥18 who died from malnutrition (E40-E46) were included. Place of death was grouped into home, inpatient medical facility, hospice facility, nursing facility/long-term care, other (including outpatient, ED, and DOA), and unknown. Crude rates of malnutrition deaths per 100,000 persons for race, gender, and Hispanic origin were calculated using US census estimates. Gross proportions of total deaths were calculated for each place of death. RESULTS: Between 2009 and 2018, there were 46,517 malnutrition deaths in the US. Death rates for Black (1.8) and White Americans (2) were twice as high compared to Native Americans (1.1) and Asians or Pacific Islanders (0.7). Death rates among females (2.3) were higher than males (1.5). Death rates among non-Hispanics (2.1) were twice as high compared to Hispanics (0.7). Most people who died of malnutrition died in hospitals (37 %). CONCLUSION: Malnutrition deaths occur at greater rates among White, Black, non-Hispanic Americans, and females. Despite reported disparities in food access, Black and White Americans have similar malnutrition mortality rates, raising concerns that malnutrition is under-diagnosed among Black patients. Given the existing nutrition literature, this finding requires further investigation.

Child Firearm-Related Homicide and Suicide by State Legislation in the US (2009-2020).

BACKGROUND: Firearms are the leading cause of death among U.S. children and adolescents. This study evaluates whether state gun laws are associated with firearm suicides and homicides in children. STUDY DESIGN: This is a cross-sectional database study comparing childhood firearm mortality with 36 state firearm laws using data from CDC WONDER and the RAND state firearm law database. Primary outcomes were firearm-related suicide and homicide mortalities per 100,000 persons. We examined suicide deaths by all firearms, including intentional self-harm by handguns only, intentional self-harm by rifles, shotguns, or large firearms only, and intentional self-harm by other or unspecified firearms, as well as homicide deaths for the same firearm types in each state. Welch's t-tests compared mean rates of suicide and homicide mortalities between states with and without these laws. States that either enacted or rescinded firearm legislation during this period were excluded. RESULTS: From 2009-2020, there were 6,735 suicides and 10,278 homicides by firearm totaling 17,013 child deaths (<18) by firearm. States with "child access prevention- negligent storage" laws demonstrated lower suicide mortality rates across all firearm types (handguns) N=13, M (mean per 100,000)=0.68, SD=0.27, p<0.001; (long guns) N=12, M=0.65, SD=0.25, p<0.001). There were no significant differences in mean suicide death rates across all firearm types when comparing states with or without firearm laws related to "minimum age youth possession", "minimum age youth purchase and sale", or "child access prevention - intentional." Comparing homicide mortality rates for all firearm types revealed no notable distinctions between states with and without the identified laws. CONCLUSIONS: Firearm legislation is associated with decreased suicide rates for individuals under 18, but its influence on homicides is less certain. Comprehensive research and thoughtful policy formulation are essential for addressing this pressing public health concern.

State Firearm Laws and Rate of Assault-Related Firearm Death.

BACKGROUND: Studying firearm-related mortality is important to reduce preventable firearm death in the US. This study aims to determine the relationship between firearm laws and assault death with firearms. STUDY DESIGN: This ecologic study used public data from the CDC Wide-Ranging Online Data for Epidemiologic Research on decedents age 18 years or older who died from assault with firearms between 2009 and 2018 in all 50 states and Washington, DC. The outcomes were the rate of mortality per 100,000 persons from assault death by firearm used. Exposures of interest included the presence of 7 state firearm laws extracted from the RAND State Firearm Law Database. Welch's t tests were performed to compare mean mortality rate in states with each firearm law to states without each law. RESULTS: There were 114,945 deaths from assault with firearms from 2009 to 2018. States with "stand your ground" laws had a higher assault mortality rate from all firearms and from other/unspecified firearms than states without stand your ground laws (p = 0.026; p = 0.023). States with background checks for private sales of handguns and long guns had a lower assault mortality rate from handguns and rifles, shotguns, and large firearms, respectively, than states without either law (p = 0.019; p = 0.030). CONCLUSIONS: Stand your ground laws are correlated with a higher rate of gun-related assault death, but background checks on private sales are correlated with a lower rate. Future studies should elucidate the specific pathways by which state laws reduce, or fail to reduce, firearm-related assault death.

Restrictive Firearm Laws and Firearm-Related Suicide.

BACKGROUND: There were 23,854 suicides by firearms in 2017 in the US, accounting for 60% of all gun deaths. Studying firearm-related mortalities is vital for reducing preventable gun deaths. This study aims to determine the association between state-level presence of restrictive firearm laws and suicide rates with firearms. STUDY DESIGN: This ecological study used data from the CDC Wide-Ranging Online Data for Epidemiologic Research on decedents older than 18 years who died from intentional self-harm with firearms between 2009 and 2018. Exposures of interest were state-level restrictive firearm laws: background checks on private sales, mandatory waiting periods, and prohibited possession for domestic violence restraining orders or mental health red flags. Outcomes were rates of suicide with firearms per 100,000 persons over the 10-year period within each state. Welch's t -tests compared mean mortality rates in exposed and unexposed states. RESULTS: There were 208,621 deaths from intentional self-harm with firearms from 2009 to 2018. States with background checks, mandatory waiting periods, and prohibited possession were associated with lower suicide rates for all firearm types compared with states without these laws (p < 0.05). Only states with background checks and mandatory waiting periods were associated with lower suicide rates by handguns and large firearms (p < 0.05). CONCLUSION: Background checks and mandatory waiting periods correlated with fewer suicides by all firearms and specific firearm types. This reduction could be due to firearm laws directly preventing people from accessing guns or existing concurrently with other suicide prevention measures. More research should be directed to understanding how firearm laws can help reduce suicide rates.