P030 EFFECTS OF GENDER-RELATED FACTORS ON THE HYPERTENSION-WHITE MATTER HYPERINTENSITIES ASSOCIATION: A SEX-STRATIFIED ANALYSIS

Background: Hypertension (HTN) is a global health issue affecting various vascular beds, including the brain. There is a gap in understanding how gender-related factors, such as roles, identity, relationships, and institutionalized gender, contribute to sex differences in the relationship between HTN and brain structure changes. This study aims to investigate the role of gender-related factors in the relationship between HTN and white matter hyperintensities (WMH) in both males and females. Methods: This cohort study used MRI data from 41,300 UK Biobank participants. HTN status was determined through hospital records and self-report, and WMH volumes were measured using MRI. Eight gender-related factors, including unpaid work, caregiving, unemployment, risk-taking behavior, living alone, education, income, and material deprivation, were examined. Generalized linear models were used to evaluate the interactions between each gender-related factor and HTN in males and females. Effect modification was evaluated using the Z-test to compare the beta coefficients of the HTN-WMH association across strata. Results: The study included 19,260 males and 22,040 females aged 40-69 years at baseline, with 27.3% hypertensive. Hypertensive males (7.7±9.2 mL) and females (7.2±8.8 mL) exhibited greater WMH volumes compared to their normotensive counterparts (males: 4.7±5.9 mL; females: 3.9±5.2 mL). The main effects model revealed that low income was significantly associated with greater WMHs in females, while no gender-related factors were linked to WMHs in males after adjusting for clinical, behavioral, and gender-related variables. No significant interactions between HTN and gender-related factors were found in either males or females after adjustment. In the stratified analysis, females with lower material deprivation showed a significantly greater increase in WMHs compared to those with higher material deprivation. No other gender-related factors in either group interacted with HTN to amplify the association with WMHs. Discussion: Socioeconomic factors, particularly in females, were associated with WMH. These findings highlight the importance of considering biological and social determinants to address hypertension risks effectively.

Authors

Institutions

Publication Details

Journal
Journal of Hypertension
Published
2024-09-01
DOI
https://doi.org/10.1097/01.hjh.0001062992.01597.f0
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P030 EFFECTS OF GENDER-RELATED FACTORS ON THE HYPERTENSION-WHITE MATTER HYPERINTENSITIES ASSOCIATION: A SEX-STRATIFIED ANALYSIS

Alexandra Peebles, Hassan Behlouli, M. Natasha Rajah, Adriana Angarita Fonseca et al.
Journal of Hypertension
Healthcare Systems and Public Health
article

P030 EFFECTS OF GENDER-RELATED FACTORS ON THE HYPERTENSION-WHITE MATTER HYPERINTENSITIES ASSOCIATION: A SEX-STRATIFIED ANALYSIS

Alexandra Peebles, Hassan Behlouli, M. Natasha Rajah, Adriana Angarita Fonseca, Amanpreet Kaur, Louise Pilote
article en

Abstract

Background: Hypertension (HTN) is a global health issue affecting various vascular beds, including the brain. There is a gap in understanding how gender-related factors, such as roles, identity, relationships, and institutionalized gender, contribute to sex differences in the relationship between HTN and brain structure changes. This study aims to investigate the role of gender-related factors in the relationship between HTN and white matter hyperintensities (WMH) in both males and females. Methods: This cohort study used MRI data from 41,300 UK Biobank participants. HTN status was determined through hospital records and self-report, and WMH volumes were measured using MRI. Eight gender-related factors, including unpaid work, caregiving, unemployment, risk-taking behavior, living alone, education, income, and material deprivation, were examined. Generalized linear models were used to evaluate the interactions between each gender-related factor and HTN in males and females. Effect modification was evaluated using the Z-test to compare the beta coefficients of the HTN-WMH association across strata. Results: The study included 19,260 males and 22,040 females aged 40-69 years at baseline, with 27.3% hypertensive. Hypertensive males (7.7±9.2 mL) and females (7.2±8.8 mL) exhibited greater WMH volumes compared to their normotensive counterparts (males: 4.7±5.9 mL; females: 3.9±5.2 mL). The main effects model revealed that low income was significantly associated with greater WMHs in females, while no gender-related factors were linked to WMHs in males after adjusting for clinical, behavioral, and gender-related variables. No significant interactions between HTN and gender-related factors were found in either males or females after adjustment. In the stratified analysis, females with lower material deprivation showed a significantly greater increase in WMHs compared to those with higher material deprivation. No other gender-related factors in either group interacted with HTN to amplify the association with WMHs. Discussion: Socioeconomic factors, particularly in females, were associated with WMH. These findings highlight the importance of considering biological and social determinants to address hypertension risks effectively.

Journal of HypertensionVol. 42(Suppl 3)
McGill University Health Centre (CA), Toronto Metropolitan University (CA)
Openalex Percentile: Top 77%
Healthcare Systems and Public Health
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.