biostudies-literatureEkwunife ONIDDK NIH HHSNIA NIH HHSNIMHD NIH HHS2152-2166https://www.ebi.ac.uk/biostudies/studies/S-EPMC12422790biostudies-literatureUnknown17(8)<h4>Background</h4>This study examines how multiple social risk factors influence cardiovascular disease (CVD) risk control over time in older adults with prediabetes using a nationally representative cohort.<h4>Methods</h4>Data from the Health and Retirement Study (HRS) included 5,086 U.S. adults aged 50+ with prediabetes. Five social risk domains (economic stability, environment, education, healthcare, and social context) were examined as independent variables, while CVD risk factors included glycemic control (HbA1c), systolic blood pressure (SBP), and cholesterol ratio (total cholesterol/high-density lipoprotein). Mixed-effects models assessed relationships between social risk factors and CVD outcomes, adjusting for age, gender, race, and marital status.<h4>Results</h4>The sample had anAgingLongitudinal relationship between social and CVD risk factors in older adults with prediabetes: the HRS 2006-2016.PMC12422790R01 MD018012U01 AG009740R01 DK118038R01 MD013826R01 DK120861K01 DK131319R01 MD017574R01 MD018721Campbell JJacobs DEkwunife OWalker RJEgede LEXu YFraser RfalseLongitudinal relationship between social and CVD risk factors in older adults with prediabetes: the HRS 2006-2016.<h4>Background</h4>This study examines how multiple social risk factors influence cardiovascular disease (CVD) risk control over time in older adults with prediabetes using a nationally representative cohort.<h4>Methods</h4>Data from the Health and Retirement Study (HRS) included 5,086 U.S. adults aged 50+ with prediabetes. Five social risk domains (economic stability, environment, education, healthcare, and social context) were examined as independent variables, while CVD risk factors included glycemic control (HbA1c), systolic blood pressure (SBP), and cholesterol ratio (total cholesterol/high-density lipoprotein). Mixed-effects models assessed relationships between social risk factors and CVD outcomes, adjusting for age, gender, race, and marital status.<h4>Results</h4>The sample had an2025-01-01T00:00:00Z2025 Aug2026-06-01T13:55:35.617Z2026-04-08T13:09:13.961ZS-EPMC124227904087493010.18632/aging.206308