Abstract 4363035: Temporal Trends in Obesity and Hypertension-Associated Mortality in the United States: Insights from CDC WONDER (1999–2020)

Introduction: Obesity is a known risk factor contributing to the development of hypertension. This study aims to identify integrated temporal trends, racial and ethnic disparities, and geographic variation in obesity-related hypertension deaths. Methods: We analyzed de-identified data from the CDC WONDER database (1999–2020) to examine hypertension-related mortality trends among obese U.S. adults aged 25 and older. Age-adjusted mortality rates were assessed per 100,000 population by demographics and geography, and temporal trends were evaluated using Joinpoint regression. Results: Between 1999 and 2020, 178,402 U.S. deaths were attributed to obesity and hypertension as contributing causes, with the age-adjusted mortality rate (AAMR) rising from 0.84 to 8.36 per 100,000. This reflects an overall annual percentage change (AAPC) of 7.13% (p < 0.000001) and a sharp rise from 2018 to 2020 (APC 22.95%, p = 0.0463). Males accounted for 93,806 deaths (52.58%), with an AAMR increase from 0.76 to 9.78 (AAPC 7.85%), while females had 84,596 deaths (47.42%) and an AAMR increase from 0.86 to 7.06 (AAPC 5.59%). Highest AAPCs were seen in ages 25–34 (10.63%), 35–44 (9.99%), 55–64 (9.89%), and 85+ (8.04%). By race, Whites contributed 122,976 deaths (AAPC 6.82%), Black or African Americans 31,553 (AAPC 6.29%), and Hispanics 5,314 (AAPC 9.75%, 2018–2020 APC 63.11%). American Indians or Alaska Natives had the highest AAPC (1,829 deaths, 10.51%), followed by Asians/Pacific Islanders (1,705 deaths, 7.21%). Regionally, the South had the most deaths (69,186; AAMR 0.70 to 9.21, AAPC 7.44%), with a steep post-2018 rise in the Northeast (APC 24.24%). Urban areas reported 139,918 deaths (78.43%), while rural areas had 38,484 (21.57%). California recorded the highest state count (21,496), followed by Texas (12,058); Wyoming (512) and South Dakota (587) had the lowest. These data reveal rising mortality with disparities by age, race, region, and urbanicity. Conclusion: HHD-related AAMR steadily rose from 1999 to 2018 and sharply increased through 2020, with higher rates in older males, the Southern and Midwest regions, and rural areas, highlighting the need for targeted public health interventions.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4363035
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4363035: Temporal Trends in Obesity and Hypertension-Associated Mortality in the United States: Insights from CDC WONDER (1999–2020)

Muhammad Faiq Umar, Hafsa Shahid, Rabia Shahid, Affan Shoukat et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4363035: Temporal Trends in Obesity and Hypertension-Associated Mortality in the United States: Insights from CDC WONDER (1999–2020)

Muhammad Faiq Umar, Hafsa Shahid, Rabia Shahid, Affan Shoukat, Huzefa Habib, Iqra Shahid, Fatima Sial, Khadija Ishaq, Bakhtawar Nawaz
article en

Abstract

Introduction: Obesity is a known risk factor contributing to the development of hypertension. This study aims to identify integrated temporal trends, racial and ethnic disparities, and geographic variation in obesity-related hypertension deaths. Methods: We analyzed de-identified data from the CDC WONDER database (1999–2020) to examine hypertension-related mortality trends among obese U.S. adults aged 25 and older. Age-adjusted mortality rates were assessed per 100,000 population by demographics and geography, and temporal trends were evaluated using Joinpoint regression. Results: Between 1999 and 2020, 178,402 U.S. deaths were attributed to obesity and hypertension as contributing causes, with the age-adjusted mortality rate (AAMR) rising from 0.84 to 8.36 per 100,000. This reflects an overall annual percentage change (AAPC) of 7.13% (p < 0.000001) and a sharp rise from 2018 to 2020 (APC 22.95%, p = 0.0463). Males accounted for 93,806 deaths (52.58%), with an AAMR increase from 0.76 to 9.78 (AAPC 7.85%), while females had 84,596 deaths (47.42%) and an AAMR increase from 0.86 to 7.06 (AAPC 5.59%). Highest AAPCs were seen in ages 25–34 (10.63%), 35–44 (9.99%), 55–64 (9.89%), and 85+ (8.04%). By race, Whites contributed 122,976 deaths (AAPC 6.82%), Black or African Americans 31,553 (AAPC 6.29%), and Hispanics 5,314 (AAPC 9.75%, 2018–2020 APC 63.11%). American Indians or Alaska Natives had the highest AAPC (1,829 deaths, 10.51%), followed by Asians/Pacific Islanders (1,705 deaths, 7.21%). Regionally, the South had the most deaths (69,186; AAMR 0.70 to 9.21, AAPC 7.44%), with a steep post-2018 rise in the Northeast (APC 24.24%). Urban areas reported 139,918 deaths (78.43%), while rural areas had 38,484 (21.57%). California recorded the highest state count (21,496), followed by Texas (12,058); Wyoming (512) and South Dakota (587) had the lowest. These data reveal rising mortality with disparities by age, race, region, and urbanicity. Conclusion: HHD-related AAMR steadily rose from 1999 to 2018 and sharply increased through 2020, with higher rates in older males, the Southern and Midwest regions, and rural areas, highlighting the need for targeted public health interventions.

CirculationVol. 152(Suppl_3)
Aga Khan University (PK), Brigham and Women's Hospital (US), King Edward Medical University (PK), Punjab Medical College (PK), Superior University (PK), Urban Unit (PK), AdventHealth Tampa (US)
Openalex Percentile: Top 51%
Cardiovascular Health and Risk Factors
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.