| Title: | Relationship between weight-adjusted-waist index and all-cause and cardiovascular mortality in individuals with type 2 diabetes |
| Journal: | Diabetes Obesity and Metabolism |
| Published: | 18 Sep 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39295078/ |
| DOI: | https://doi.org/10.1111/dom.15929 |
Publication 13473
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
AIM: To investigate the relationship between the weight-adjusted-waist index (WWI) and all-cause mortality as well as cardiovascular mortality in individuals with type 2 diabetes.</p>
METHODS: We used data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 and the UK Biobank database. Restricted cubic spline curves and Cox proportional hazards models were employed to assess hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality.</p>
RESULTS: In the UK Biobank database, compared with the lowest WWI quartile, the HR for all-cause and cardiovascular death in the highest quartile was 1.846 (95% CI 1.687-2.019) and 2.118 (95% CI 1.783-2.517), respectively, in the fully adjusted model. In the NHANES database, compared with the lowest WWI quartile, the highest quartile had an HR of 1.727 (95% CI 1.378-2.163) for all-cause death and 1.719 (95% CI 1.139-2.595) for cardiovascular death in the fully adjusted model.</p>
CONCLUSIONS: Our study indicates that WWI has a long-term synergistic negative impact on all-cause mortality and cardiovascular mortality in individuals with type 2 diabetes. The WWI is an independent predictor of mortality in individuals with type 2 diabetes.</p>
10 Authors
- Tian-Yu Zhang
- Zi-Meng Zhang
- Xue-Ning Wang
- Hong-Yu Kuang
- Qian Xu
- Hong-Xue Li
- Cheng-Ye Xu
- Kang-Qi Zhao
- Cong Zhang
- Ming Hao
1 Application
| Application ID | Title |
|---|---|
| 102952 | The prediction, treatment and prognosis of metabolic diseases. |
Enabling scientific discoveries that improve human health