ABSTRACT NUMBER: ESOC2026A131 BLOOD PRESSURE VARIABILITY AND SEX DIFFERENCES IN COGNITIVE DECLINE: A POOLED COHORT ANALYSIS OF ARIC, CHS, FOS, MESA, AND CARDIA IN THE BP COG STUDY

Abstract Background and aims Women have faster cognitive decline than men, but prior studies have not evaluated the role of blood pressure variability. Methods This pooled analysis included participants from five US longitudinal cohort studies (1971-2019): ARIC, CHS, FOS, MESA, and CARDIA. We estimated change in global cognition by sex using a linear mixed-effects model. Analyses adjusted for cohort, age, race, education, income, APOE, alcohol use, smoking, physical activity, myocardial infarction and atrial fibrillation, cumulative risk factors (estimated fasting glucose, waist circumference, body mass index, low-density lipoprotein cholesterol, and mean systolic blood pressure [SBP]), and treatment (Model 1). BP variability (intraindividual standard deviation [SD] of SBP across study visits) was added in Model 2. All covariates were interacted with follow-up time. Results We included 20,432 participants free of stroke and dementia with complete covariate data; mean (SD) baseline age was 50.1 (16.6) years, 54.5% female, 19.6% Black, and 80.4% White. Median (IQR) follow-up was 22.1 (9.0-29.8) years. In Model 1, women’s global cognition declined significantly faster than men (-0.059 points/year, 95% CI -0.070, -0.048, P < 0.001). After further adjustment (Model 2), higher SBP variability was associated with faster global cognitive decline (-0.001 points/year/mmHg, 95% CI -0.002, -0.000009, P = 0.048). The sex difference in decline (-0.058 points/year, 95% CI -0.069, -0.047, P < 0.001) showed minimal change by adding SBP variability. Conclusions Even after accounting for cumulative vascular risk factors and other characteristics, SBP variability was independently associated with faster cognitive decline but did not suggest an explanation for the sex difference in cognitive decline. Conflict of interest Brian Stamm: nothing to disclose. Rachael Whitney: nothing to disclose. Wan-Ling Hsu: nothing to disclose. Wen Ye: nothing to disclose. Rebecca Gottesman: nothing to disclose. Kristine Yaffe: nothing to disclose. Hugo Aparicio: nothing to disclose. Timothy Hughes: nothing to disclose. W. T. Longstreth: receives support from NIH for several projects. Deborah Levine: reports grant funding from the NIH and consulting for Northwestern University and Tufts University on NIH-funded projects.

Authors

Institutions

Publication Details

Journal
European Stroke Journal
Published
2026-05-01
DOI
https://doi.org/10.1093/esj/aakag023.006
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ABSTRACT NUMBER: ESOC2026A131 BLOOD PRESSURE VARIABILITY AND SEX DIFFERENCES IN COGNITIVE DECLINE: A POOLED COHORT ANALYSIS OF ARIC, CHS, FOS, MESA, AND CARDIA IN THE BP COG STUDY

Deborah Levine, Rebecca Gottesman, Hugo Aparicio, Timothy Hughes et al.
European Stroke Journal
Dementia and Cognitive Impairment Research
article

ABSTRACT NUMBER: ESOC2026A131 BLOOD PRESSURE VARIABILITY AND SEX DIFFERENCES IN COGNITIVE DECLINE: A POOLED COHORT ANALYSIS OF ARIC, CHS, FOS, MESA, AND CARDIA IN THE BP COG STUDY

Deborah Levine, Rebecca Gottesman, Hugo Aparicio, Timothy Hughes, Rachael Whitney, Kristine Yaffe, W T Longstreth Jr, Wen Ye, Brian Stamm, Wan-Ling Hsu
article en

Abstract

Abstract Background and aims Women have faster cognitive decline than men, but prior studies have not evaluated the role of blood pressure variability. Methods This pooled analysis included participants from five US longitudinal cohort studies (1971-2019): ARIC, CHS, FOS, MESA, and CARDIA. We estimated change in global cognition by sex using a linear mixed-effects model. Analyses adjusted for cohort, age, race, education, income, APOE, alcohol use, smoking, physical activity, myocardial infarction and atrial fibrillation, cumulative risk factors (estimated fasting glucose, waist circumference, body mass index, low-density lipoprotein cholesterol, and mean systolic blood pressure [SBP]), and treatment (Model 1). BP variability (intraindividual standard deviation [SD] of SBP across study visits) was added in Model 2. All covariates were interacted with follow-up time. Results We included 20,432 participants free of stroke and dementia with complete covariate data; mean (SD) baseline age was 50.1 (16.6) years, 54.5% female, 19.6% Black, and 80.4% White. Median (IQR) follow-up was 22.1 (9.0-29.8) years. In Model 1, women’s global cognition declined significantly faster than men (-0.059 points/year, 95% CI -0.070, -0.048, P < 0.001). After further adjustment (Model 2), higher SBP variability was associated with faster global cognitive decline (-0.001 points/year/mmHg, 95% CI -0.002, -0.000009, P = 0.048). The sex difference in decline (-0.058 points/year, 95% CI -0.069, -0.047, P < 0.001) showed minimal change by adding SBP variability. Conclusions Even after accounting for cumulative vascular risk factors and other characteristics, SBP variability was independently associated with faster cognitive decline but did not suggest an explanation for the sex difference in cognitive decline. Conflict of interest Brian Stamm: nothing to disclose. Rachael Whitney: nothing to disclose. Wan-Ling Hsu: nothing to disclose. Wen Ye: nothing to disclose. Rebecca Gottesman: nothing to disclose. Kristine Yaffe: nothing to disclose. Hugo Aparicio: nothing to disclose. Timothy Hughes: nothing to disclose. W. T. Longstreth: receives support from NIH for several projects. Deborah Levine: reports grant funding from the NIH and consulting for Northwestern University and Tufts University on NIH-funded projects.

European Stroke JournalVol. 11(Supplement_1)
Boston University (US), University of California, San Francisco (US), University of Washington (US), University of Michigan (US), National Institute of Neurological Disorders and Stroke (US), Wake Forest University (US)
No poverty
Openalex Percentile: Top 8%
Dementia and Cognitive Impairment Research
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.