<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Chong B</submitter><funding>Intramural NIH HHS</funding><funding>National University of Singapore</funding><funding>National Medical Research Council</funding><pagination>165-177</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12718409</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>86(3)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Cardiovascular diseases (CVDs) are the leading cause of global mortality. Understanding epidemiologic trends in the modifiable risk factors driving CVDs is essential in designing effective countermeasures.&lt;h4>Objectives&lt;/h4>The aim of this study was to forecast geospatial trends of modifiable cardiovascular risk factors, namely high systolic blood pressure (SBP), high fasting plasma glucose, high body mass index (BMI), high low-density lipoprotein cholesterol, and tobacco use from 2025 to 2050.&lt;h4>Methods&lt;/h4>Historical data on disability-adjusted life years (DALYs) and mortality from the GBD (Global Burden of Disease) 2021 study were used to forecast the burden associated with modifiable cardiovascular risk factors from 2025 to 2050. Trends across GBD super-regions, sex</pubmed_abstract><journal>Journal of the American College of Cardiology</journal><pubmed_title>The Global Syndemic of Modifiable Cardiovascular Risk Factors Projected From 2025 to 2050.</pubmed_title><pmcid>PMC12718409</pmcid><funding_grant_id>Z99 HL999999</funding_grant_id><pubmed_authors>Toh SA</pubmed_authors><pubmed_authors>Nagarajan S</pubmed_authors><pubmed_authors>Roth G</pubmed_authors><pubmed_authors>Chan SP</pubmed_authors><pubmed_authors>Mensah GA</pubmed_authors><pubmed_authors>Goh R</pubmed_authors><pubmed_authors>Nicholls SJ</pubmed_authors><pubmed_authors>Tan JWC</pubmed_authors><pubmed_authors>Chan MY</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Chew HSJ</pubmed_authors><pubmed_authors>Kontopantelis E</pubmed_authors><pubmed_authors>Jauhari SM</pubmed_authors><pubmed_authors>le Roux CW</pubmed_authors><pubmed_authors>Dimitriadis GK</pubmed_authors><pubmed_authors>Richards AM</pubmed_authors><pubmed_authors>Hausenloy D</pubmed_authors><pubmed_authors>Sperling LS</pubmed_authors><pubmed_authors>Figtree GA</pubmed_authors><pubmed_authors>Li H</pubmed_authors><pubmed_authors>Lip GYH</pubmed_authors><pubmed_authors>Wang JW</pubmed_authors><pubmed_authors>Mamas MA</pubmed_authors><pubmed_authors>Chong B</pubmed_authors><pubmed_authors>Chew NWS</pubmed_authors><pubmed_authors>Manla Y</pubmed_authors><pubmed_authors>Kong G</pubmed_authors><pubmed_authors>Jayabaskaran J</pubmed_authors><pubmed_authors>Chin YH</pubmed_authors><pubmed_authors>Mehta A</pubmed_authors><pubmed_authors>Chia J</pubmed_authors><pubmed_authors>Muthiah M</pubmed_authors><pubmed_authors>Al Mahmeed W</pubmed_authors></additional><is_claimable>false</is_claimable><name>The Global Syndemic of Modifiable Cardiovascular Risk Factors Projected From 2025 to 2050.</name><description>&lt;h4>Background&lt;/h4>Cardiovascular diseases (CVDs) are the leading cause of global mortality. Understanding epidemiologic trends in the modifiable risk factors driving CVDs is essential in designing effective countermeasures.&lt;h4>Objectives&lt;/h4>The aim of this study was to forecast geospatial trends of modifiable cardiovascular risk factors, namely high systolic blood pressure (SBP), high fasting plasma glucose, high body mass index (BMI), high low-density lipoprotein cholesterol, and tobacco use from 2025 to 2050.&lt;h4>Methods&lt;/h4>Historical data on disability-adjusted life years (DALYs) and mortality from the GBD (Global Burden of Disease) 2021 study were used to forecast the burden associated with modifiable cardiovascular risk factors from 2025 to 2050. Trends across GBD super-regions, sex</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jul</publication><modification>2026-06-08T05:23:34.381Z</modification><creation>2026-06-08T03:08:49.421Z</creation></dates><accession>S-EPMC12718409</accession><cross_references><pubmed>40669954</pubmed><doi>10.1016/j.jacc.2025.04.061</doi></cross_references></HashMap>