Evaluating the Reliability and Robustness of Racial and Ethnic Health Disparities in Cardiometabolic Disease in NHANES, NHIS, and BRFSS (2015–2021)

Prevalence estimates for heart attack and diabetes were heterogeneous by race across surveys. These results highlight the importance of improving the representation of racially minoritized groups within national surveys to produce more precise estimates.

Authors

Institutions

Publication Details

Journal
Journal of the American Heart Association
Published
2025-02-26
DOI
https://doi.org/10.1161/jaha.124.040029
Citations
1
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Reliability and Robustness of Racial and Ethnic Health Disparities in Cardiometabolic Disease in NHANES, NHIS, and BRFSS (2015–2021)

Adrian Matias Bacong, Latha Palaniappan, Xinran Qi, Yan Yan Wu et al.
1 citations
Journal of the American Heart Association
Cardiovascular Health and Risk Factors
1.39
article

Evaluating the Reliability and Robustness of Racial and Ethnic Health Disparities in Cardiometabolic Disease in NHANES, NHIS, and BRFSS (2015–2021)

Adrian Matias Bacong, Latha Palaniappan, Xinran Qi, Yan Yan Wu, Robert J. Huang, Nicholas Kikuta, Armaan Jamal, Malathi Srinivasan, George Hung, Mohammed A. Khan, Karina Kim, Zeel Thakkar, Gloria Kim
article en
1 citations

Abstract

Prevalence estimates for heart attack and diabetes were heterogeneous by race across surveys. These results highlight the importance of improving the representation of racially minoritized groups within national surveys to produce more precise estimates.

Journal of the American Heart AssociationVol. 14(5)
Rutgers, The State University of New Jersey (US), Florida State University (US), Johns Hopkins University (US), Johnson University (US), Rutgers Sexual and Reproductive Health and Rights (NL), New York University (US), University of Nebraska Medical Center (US), University of Maryland, College Park (US), Stanford University (US)
Openalex Percentile: Top 22%
Cardiovascular Health and Risk Factors
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.