The combined impact of BMI and ABSI on all-cause mortality among American adults with diabetes DOI Creative Commons

Shuwu Wei,

Weimin Jiang, Hui Juan Zheng

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 7, 2025

Previous studies have emphasized the independent effects of anthropometric indices-including body mass index (BMI), A Body Shape Index (ABSI), waist-to-height ratio (WHtR), roundness (BRI), and Conicity Index-on mortality. However, their combined impact, especially in diabetic populations with distinct obesity patterns, has been less frequently explored. This study investigates both these indices on mortality Americans compares individual diagnostic value. nationally representative cohort was conducted using NHANES data (2005-2018), including 6,572 adults. Weighted Cox proportional hazards models restricted cubic splines were applied to evaluate associations (BMI, ABSI, WHtR, BRI, Index) all-cause The weighted receiver operating characteristic (ROC) curve used assess value combinations predicting Among all indices, ABSI exhibited strongest association mortality, outperforming other measures such as BMI, Index. clear linear relationship identified, higher tertiles consistently linked an increased risk Notably, within each BMI tertile, effectively differentiated risk, particularly highest tertile. Furthermore, demonstrated predictive performance among metrics (weighted AUC = 0.653) showed further improvement when 0.669). collectively provide a comprehensive evaluation populations, capturing synergistic general central obesity. These findings highlight importance integrating into assessments identify high-risk individuals guide targeted interventions for reducing

Language: Английский

Association between triglyceride-glucose related indices and all-cause and cardiovascular mortality among the population with cardiovascular-kidney-metabolic syndrome stage 0–3: a cohort study DOI Creative Commons
Yanfeng Wang, De-Gang Mo, Wenhua Zeng

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 28, 2025

Cardiovascular-Kidney-Metabolic (CKM) syndrome typically commences with the interaction of insulin resistance (IR), excessive or dysfunctional obesity, and consequent systemic inflammatory response oxidative stress. The relationship between triglyceride-glucose (TyG) index TyG-related indices that may simply assess IR as well mortality risk in CKM population, remains ambiguous. This study included 6,383 participants from National Health Nutrition Examination Survey (NHANES) 2009–2018. TyG index, TyG-waist-to-height ratio (TyG-WHtR), TyG-waist circumference (TyG-WC), TyG-body mass (TyG-BMI) were developed. Cox proportional hazards models, smooth curve fitting, two-stage models employed to examine association all-cause cardiovascular population. Subgroup analyses tests conducted evaluate within various demographics. In survey-weighted multifactorial regression analyses, a significant positive existed TyG, indices, both mortality, except for which did not demonstrate link mortality. Of these TyG-WC exhibited strongest correlation hazard (HR) 1.50 95% confidence interval (CI) 1.18–1.92, followed by TyG-WHtR (HR: 1.45, 95%CI 1.13–1.85). demonstrated 1.85, CI 1.19–2.86), index(HR: 1.83, 1.21–2.78). An L-shaped was identified TyG-WHtR, TyG-BMI, during examination nonlinear relationships (both P log-likelihood < 0.05). TyG-WC, TyG-BMI more pronounced those stages 1 3 (P value 0.05, Our emphasizes individuals 0–3. Individuals should be vigilant abnormal alterations indices.

Language: Английский

Citations

1

The combined impact of BMI and ABSI on all-cause mortality among American adults with diabetes DOI Creative Commons

Shuwu Wei,

Weimin Jiang, Hui Juan Zheng

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 7, 2025

Previous studies have emphasized the independent effects of anthropometric indices-including body mass index (BMI), A Body Shape Index (ABSI), waist-to-height ratio (WHtR), roundness (BRI), and Conicity Index-on mortality. However, their combined impact, especially in diabetic populations with distinct obesity patterns, has been less frequently explored. This study investigates both these indices on mortality Americans compares individual diagnostic value. nationally representative cohort was conducted using NHANES data (2005-2018), including 6,572 adults. Weighted Cox proportional hazards models restricted cubic splines were applied to evaluate associations (BMI, ABSI, WHtR, BRI, Index) all-cause The weighted receiver operating characteristic (ROC) curve used assess value combinations predicting Among all indices, ABSI exhibited strongest association mortality, outperforming other measures such as BMI, Index. clear linear relationship identified, higher tertiles consistently linked an increased risk Notably, within each BMI tertile, effectively differentiated risk, particularly highest tertile. Furthermore, demonstrated predictive performance among metrics (weighted AUC = 0.653) showed further improvement when 0.669). collectively provide a comprehensive evaluation populations, capturing synergistic general central obesity. These findings highlight importance integrating into assessments identify high-risk individuals guide targeted interventions for reducing

Language: Английский

Citations

0