AI Article Synopsis

  • The study aimed to explore the link between the weight-adjusted-waist index (WWI) and the risk of dying from any cause or specifically cardiovascular issues in people with type 2 diabetes.
  • Using data from NHANES and the UK Biobank, researchers applied statistical models to estimate hazard ratios for mortality related to different WWI levels.
  • Findings showed that individuals in the highest WWI quartile had significantly increased risks of all-cause and cardiovascular deaths, suggesting that WWI is a crucial independent predictor of mortality among those with type 2 diabetes.

Article 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.

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.

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.

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.

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Source
http://dx.doi.org/10.1111/dom.15929DOI Listing

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