Association between weight-adjusted waist index with incident stroke in the elderly with hypertension: a cohort study

The objective of this study was to ascertain the relationship between the weight-adjusted waist index (WWI) and the risk of stroke in an elderly hypertensive population, a relationship that has not been previously elucidated. The Cox regression model was employed to assess the correlation between baseline WWI measurements and the incidence of stroke. To further elucidate the shape of the association between baseline WWI and stroke, restricted cubic splines were employed. Furthermore, subgroup analyses and interaction tests were carried out to investigate potential heterogeneities. Our study cohort comprised 4962 hypertensive individuals aged 60 years or older with no prior history of stroke. Over a median follow-up of 3.2 years, we found 547 new-onset stroke cases. After adjusting for confounding variables, the Cox regression analysis revealed a positive association between baseline WWI and the risk of stroke, with hazard ratios (HRs) escalating progressively as WWI values increased. When compared to the lowest quartile of WWI, the highest quartile demonstrated an HR of 1.87 (95% CI, 1.44-2.42) for stroke. Subgroup analyses confirmed the consistency of this relationship across different demographic and clinical strata. The study findings indicate that an elevated WWI is significantly related with a higher risk of new-onset stroke among elderly patients with hypertension. These results underscore the importance of WWI as a potential risk stratification tool. To confirm these results and explore the causal mechanisms behind the observed correlation, more study is necessary.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-10-27
DOI
https://doi.org/10.1038/s41598-024-76709-y
Citations
24
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
9.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between weight-adjusted waist index with incident stroke in the elderly with hypertension: a cohort study

Shuaiwei Song, Junli Hu, Xintian Cai, Jing Hong et al.
24 citations
Scientific Reports
Cardiovascular Health and Disease Prevention
9.65
article

Association between weight-adjusted waist index with incident stroke in the elderly with hypertension: a cohort study

Shuaiwei Song, Junli Hu, Xintian Cai, Jing Hong, Qing Zhu, Nanfang Li, Wenbo Yang, Qin Luo, Di Shen
article en
24 citations

Abstract

The objective of this study was to ascertain the relationship between the weight-adjusted waist index (WWI) and the risk of stroke in an elderly hypertensive population, a relationship that has not been previously elucidated. The Cox regression model was employed to assess the correlation between baseline WWI measurements and the incidence of stroke. To further elucidate the shape of the association between baseline WWI and stroke, restricted cubic splines were employed. Furthermore, subgroup analyses and interaction tests were carried out to investigate potential heterogeneities. Our study cohort comprised 4962 hypertensive individuals aged 60 years or older with no prior history of stroke. Over a median follow-up of 3.2 years, we found 547 new-onset stroke cases. After adjusting for confounding variables, the Cox regression analysis revealed a positive association between baseline WWI and the risk of stroke, with hazard ratios (HRs) escalating progressively as WWI values increased. When compared to the lowest quartile of WWI, the highest quartile demonstrated an HR of 1.87 (95% CI, 1.44-2.42) for stroke. Subgroup analyses confirmed the consistency of this relationship across different demographic and clinical strata. The study findings indicate that an elevated WWI is significantly related with a higher risk of new-onset stroke among elderly patients with hypertension. These results underscore the importance of WWI as a potential risk stratification tool. To confirm these results and explore the causal mechanisms behind the observed correlation, more study is necessary.

Scientific ReportsVol. 14(1)
People's Hospital of Xinjiang Uygur Autonomous Region (CN), Hypertension Institute (US)
Openalex Percentile: Top 1%
Cardiovascular Health and Disease Prevention
9.65
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.