Dataset Information

Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States.

ABSTRACT:

Introduction

Disparities in dementia prevalence across racial/ethnic groups in the United States may not be narrowing over time.

Methods

Data from Health and Retirement Study (2000 to 2012) were analyzed. Dementia was ascertained based on cognitive, functional measures. Logistic regression was used to quantify association between dementia and risk factors, including chronic conditions, use of drug treatment for them, separately for whites, blacks, and Hispanics.

Results

Disparities in dementia prevalence declined between blacks and whites and increased between Hispanics and whites. Adjusting for risk factors reduced but did not eliminate disparities. Compared to no hypertension, untreated hypertension was associated with increased risk of dementia for all racial/ethnic groups while treated hypertension was associated with reduced risk for whites. Diabetes treated with oral drugs was not associated with increased dementia risk.

Discussion

Racial disparities in dementia may be reduced by prevention and management of disease and promoting educational attainment among blacks and Hispanics.

SUBMITTER: Chen C

PROVIDER: S-EPMC6197734 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States.

Chen Cynthia C Zissimopoulos Julie M JM

Alzheimer's & dementia (New York, N. Y.) 20181005

<h4>Introduction</h4>Disparities in dementia prevalence across racial/ethnic groups in the United States may not be narrowing over time.<h4>Methods</h4>Data from Health and Retirement Study (2000 to 2012) were analyzed. Dementia was ascertained based on cognitive, functional measures. Logistic regression was used to quantify association between dementia and risk factors, including chronic conditions, use of drug treatment for them, separately for whites, blacks, and Hispanics.<h4>Results</h4>Dis ...[more]

PMID: 30364652

Similar Datasets

Project description:Importance: While the literature documenting health disparities has advanced in recent decades, less is known about the pattern of racial/ethnic disparities in emergency care in the United States. Objective: To describe the trends and differences of health outcomes and resource utilization among racial/ethnic groups in US emergency care for adult patients over a 12-year period. Design, Setting, and Participants: This cross-sectional study of emergency department (ED) data from the nationally representative National Hospital Ambulatory Medical Survey (NHAMCS) examined multiple dimensions of ED care and treatment from 2005 to 2016 among adults in the US. Main Outcomes and Measures: The main outcomes include ED care outcomes (hospital admission, ICU admission, and death in the ED/hospital), resource utilization outcomes (medical imaging use, blood test, and procedure use), and patients' waiting time in the ED. The main exposure variable is race/ethnicity including white patients (non-Hispanic), black patients (non-Hispanic), Hispanic patients, Asian patients, and Other. Results: During the 12-year study period, NHAMCS collected data on 247,989 adult (> 18 years old) ED encounters, providing a weighted sample of 1,065,936,835 ED visits for analysis. Asian patients were 1.21 times more likely than white patients to be admitted to the hospital following an ED visit (aOR 1.21, 95% CI 1.12-1.31). Hispanic patients presented no significant difference in hospital admission following an ED visit (aOR 1.01, 95% CI 0.97-1.06) with white patients. Black patients were 7% less likely to receive an urgent ESI score than white patients less likely to receive immediate or emergent scores, as opposed to semi- or non-urgent scores. Black patients were also 10% less likely than white patients to be admitted to the hospital and were 1.26 times more likely than white patients to die in the ED or hospital. Conclusions and Relevance: Race is associated with significant differences in ED treatment and admission rates, which may represent disparities in emergency care. Hispanic and Asian Americans were equal or more likely to be admitted to the hospital compared to white patients. Black patients received lower triage scores and higher mortality rates. Further research is needed to understand the underlying causes and long-term health consequences of these disparities.

Project description:Accurate forecasting of cardiovascular disease mortality is crucial to guide policy and programming efforts. Prior forecasts often have not incorporated past trends in rates of reduction in cardiovascular disease mortality. This creates uncertainties about future trends in cardiovascular disease mortality and disparities.To forecast US cardiovascular disease mortality and disparities to 2030, we developed a hierarchical bayesian model to determine and incorporate prior age, period, and cohort effects from 1979 to 2012, stratified by age, sex, and race, which we combined with expected demographic shifts to 2030. Data sources included the National Vital Statistics System, Surveillance, Epidemiology, and End Results (SEER) single-year population estimates, and US Bureau of Statistics 2012 national population projections. We projected coronary disease and stroke deaths to 2030, first on the basis of constant age, period, and cohort effects at 2012 values, as is most commonly done (conventional), and then with the use of more rigorous projections incorporating expected trends in age, period, and cohort effects (trend based). We primarily evaluated absolute mortality. The conventional model projected total coronary and stroke deaths by 2030 to increase by ?18% (67 000 additional coronary deaths per year) and 50% (64 000 additional stroke deaths per year). Conversely, the trend-based model projected that coronary mortality would decrease by 2030 by ?27% (79 000 fewer deaths per year) and stroke mortality would remain unchanged (200 fewer deaths per year). Health disparities will be improved in stroke deaths but not coronary deaths.After prior mortality trends and expected demographic shifts are accounted for, total US coronary deaths are expected to decline, whereas stroke mortality will remain relatively constant. Health disparities in stroke but not coronary deaths will be improved but not eliminated. These age, period, and cohort approaches offer more plausible predictions than conventional estimates.

Dataset Information

Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States.

Introduction

Methods

Results

Discussion

Publications

Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure