We analyzed racial differences in all-cause mortality rates associated with air pollution in a cohort of military veterans in which 37% of the 70,000 members identified as African-American (black). In this comprehensive analysis, spatial levels comprised individuals, zip-codes, and counties. Temporal levels comprised the 26-y follow-up period (1976-2001) and 4 subperiods. Proportional hazard regression models were used, controlling for individual age, race (white, black), smoking (current, ever), education, height, body-mass index, and systolic and diastolic blood pressure; zipcode-average socioeconomic indicators; and county-average climate. County-level air quality measures included vehicular traffic density as a surrogate for all traffic-related pollutants including noise. The model accounted for nonlinear mortality relationships with age, body-mass index, blood pressure and zip-code racial composition. Relative to whites, more of the black veterans smoked, had slightly higher blood pressure, and lived in predominately black zip-codes that had more poverty than whites. The black veterans lived in counties that had slightly worse ambient air quality and substantially higher levels of vehicular traffic density. We analyzed all-cause mortality associations with county-level average ozone, nitrogen dioxide, sulfur dioxide, carbon monoxide for 1975-81, and subsequent data on particulates by particle size. We also considered sulfate and elemental carbon particles, benzene, SO, and NO based on nationwide modeling for 2002. We had no information on indoor air quality or personal exposures; our risk estimates should thus be regarded as characterizing the counties of residence rather than individual exposures of inhabitants. In addition to age, the strongest predictors of veterans' survival were residence in high-poverty zip-codes, smoking, and diastolic blood pressure, to all of which black veterans were less sensitive than whites. Black veterans had significantly lower mortality risks from aging, smoking, and elevated diastolic blood pressure, but larger risks from excessive body-mass index. They were less at risk from living a high-poverty zip-code than whites. We assumed these risk factors to be stable during follow-up and thus applicable to chronic health effects. After controlling for them, the all-cause mortality risk for black veterans was 10% lower than whites. In an effort to reduce random scatter we computed mean risks associated with overlapping groups of similar pollutants. These means were statistically significant for both black and white veterans for traffic-related, gaseous, and NO-O pollutants, for which the overall mean relative risk was 1.076 (1.057-1.090). Grouped mean risks for particulate pollutants, sulfur compounds, and non-traffic pollutants were not significant for either race. Black veterans carried more of the traffic-related risks than whites because of their greater exposures and risk coefficients. PM risk estimates were negative for black veterans (0.82 [0.75-0.89]) but positive for whites (1.05 [1.005-1.10]) which is consistent with regional differences in overall mortality. The temporal analyses compared mortality rates by follow-up subperiod for the pollutants measured at enrollment. We expected increasing (cumulative) risks for chronic effects and decreasing risks for delayed acute effects, but found no significant trend for either race. We concluded that the higher exposures and mortality risks associated with vehicular traffic posed environmental injustice for the black veterans.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.envres.2019.108842 | DOI Listing |
J Racial Ethn Health Disparities
December 2024
Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Objectives: Racial and ethnic differences in long-term outcomes associated with medications for opioid use disorder (MOUD) are poorly understood.
Methods: The present analyses were based on 751 participants with opioid use disorder (OUD) who were initially recruited from opioid treatment programs located in California, Connecticut, Oregon, Pennsylvania, and Washington and participated in a randomized controlled trial and at least one follow-up interview. 9.
J Acquir Immune Defic Syndr
December 2024
Division of Nephrology, Albert Einstein College of Medicine, Montefiore Health System, Bronx, NY.
Background: The Veterans Aging Cohort Study (VACS) Index is a summary measure of routinely obtained clinical variables that predicts numerous health outcomes. Since there are currently no tools to predict acute kidney injury (AKI) in persons with HIV (PWH), we investigated the association of preadmission VACS Index with hospital AKI in PWH.
Methods: We conducted an observational study of PWH hospitalized in a New York City health system between 2010-2019.
Prostate Cancer
December 2024
Division of Hematology and Medical Oncology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, Missouri, USA.
Assessment of comorbid diseases is essential to clinical research and may risk-stratify patients for mortality independent of established methods such as the Charlson Comorbidity Index (CCI). In a retrospective study of U.S.
View Article and Find Full Text PDFJAMA Surg
December 2024
Department of Surgery, Stanford University School of Medicine, Stanford, California.
Importance: Surgical quality improvement efforts have largely focused on 30-day outcomes, such as readmissions and complications. Surgery may have a sustained impact on the health and quality of life of patients considered frail, yet data are lacking on the long-term health care utilization of patients with frailty following surgery.
Objective: To examine the independent association of preoperative frailty on long-term health care utilization (up to 24 months) following surgery.
JAMA Dermatol
December 2024
Department of Dermatology, Duke University, Durham, North Carolina.
Importance: Clinical productivity measures may incentivize clinical care to specific patient populations and thus perpetuate inequitable care. Before the 2021 Medicare physician fee schedule changes, outpatient dermatology encounters for patients who were younger, female, and races other than White systematically generated fewer work relative value units (wRVUs).
Objective: To examine the association of patient race, age, and sex with wRVUs generated by outpatient dermatology encounters after 2021.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!