Predicted visceral adiposity index in relation to risk of coronary heart disease and all-cause mortality: insights from NHANES

Front Endocrinol (Lausanne). 2024 Jan 8:14:1296398. doi: 10.3389/fendo.2023.1296398. eCollection 2023.

Abstract

Background and aims: The Visceral Adiposity Index (VAI) is a straightforward and gender-specific marker that combines anthropometric measurements with lipid profiles. The objective of this study was to evaluate the relationship between VAI and coronary heart disease (CHD).

Methods and results: The study examined data collected from adults during the NHANES 1999-2018 cycle. The analyses were weighted, and multivariable logistic regression models were employed to investigate the association between VAI and CHD. Additionally, subgroup analyses stratified by age were conducted. To evaluate the impact of VAI levels on survival outcomes, the study utilized the Kaplan-Meier method and performed the log-rank test to evaluate the survival outcome of participants with different VAI levels. The study findings revealed a significant association between VAI and CHD, indicating a non-linear relationship where an increase in VAI was associated with an elevated risk of CHD. High levels of VAI were linked to an increased prevalence of CHD (Q4 vs Q1, OR 1.50, 95% CI 1.12-2.01, P=0.01). Additionally, higher levels of VAI were associated with a poorer overall prognosis in terms of survival outcomes. There were no statistically significant differences in survival outcomes among the population with CHD.

Conclusion: The results of this study highlighted a significant association between VAI and CHD, with a non-linear relationship observed. High VAI levels were associated with an increased risk of CHD and poor survival outcomes, emphasizing the importance of understanding and managing this risk factor, particularly in older age groups.

Keywords: NHANES; all-cause mortality; coronary heart disease; prognosis; relationship; visceral adiposity index.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adiposity*
  • Adult
  • Aged
  • Coronary Disease*
  • Humans
  • Logistic Models
  • Nutrition Surveys
  • Risk Factors

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Science and Technology Project of Health Committee of Jiangxi Province (202130273), the Science and Technology Research Project of Education Department of Jiangxi Province (GJJ200226) and Jiangxi Provincial Natural Science Foundation (20232BAB216020).