Abstract
The causal relationship between visceral adipose tissue (VAT) and hypertension remains unclear. We aimed to examine the potential association between them using observational and two-sample Mendelian randomization (MR) analyses. Data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 were used, applying multivariable logistic regression analysis to investigate the association between VAT mass and hypertension risk. Independent genetic variants related to VAT mass were derived from genome-wide association studies (GWAS) in 325 153 UK Biobank participants. The primary analysis employed the random-effects inverse-variance weighted (IVW) method, with MR-Egger, weighted median, simple mode, and weighted mode as sensitivity analyses. A total of 7661 participants were included. After adjusting for confounding factors, increased VAT mass was associated with a higher risk of hypertension (quartile 4vs. quartile 1: OR:1.85, 95% confidence intervals [CI]: 1.31-2.63). Furthermore, VAT mass exhibited greater accuracy than body mass index (BMI) in predicting hypertension (areas under the curve [AUC]: 0.701vs. 0.676, p for comparison < 0.001). The MR analyses demonstrated a causal relationship between increased VAT mass and the risk of hypertension in primary analyses (odds ratio [OR]:1.768, 95% CI: 1.594-1.861). Consistent findings across various MR models substantiate the robustness and strength of this causal relationship. These analyses provide additional support for both the positive association and causal relationship between elevated VAT and the risk of developing hypertension, suggesting that targeted interventions for VAT may be beneficial in preventing hypertension.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of clinical hypertension (Greenwich, Conn.)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.