Relation Between Adiposity Measures and the Risk of a Composite of Cardiovascular Events, Diabetes, and Cancer in Patients With Cardiovascular Disease

Adiposity contributes to multiple non-communicable diseases. To guide prevention of morbidity, this study aimed to quantify the relation between waist circumference (WC), body mass index (BMI), waist to height ratio (WtHR), abdominal subcutaneous (SAT) and visceral adipose tissue (VAT) and the risk of a composite outcome including recurrent cardiovascular events, incident type 2 diabetes and incident cancer, as well as each individual disease and all-cause mortality. Data were used from the UCC-SMART cohort study from 6138 patients with cardiovascular disease. Cox proportional hazard models estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) for adiposity measures, modelled as quartiles and per 1 SD increase, in relation to disease outcomes. All adiposity measures, except SAT, were related to higher risk of the composite outcome. WC and VAT showed the strongest relation (HR 1.62, 95% CI: 1.43, 1.83 and 1.62, 95% CI: 1.44, 1.83, respectively). Only WC and VAT were related to all-cause mortality (HRs 1.17, 95% CI: 1.01, 1.37 and 1.26, 95% CI: 1.08, 1.46, respectively). In patients with cardiovascular disease, WC and VAT are most strongly related to the risk of the composite outcome and to all-cause mortality. Monitoring adiposity with WC and VAT may help identify high-risk patients and could guide earlier interventions.

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Publication Details

Journal
Clinical Obesity
Published
2025-12-17
DOI
https://doi.org/10.1111/cob.70064
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
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article

Relation Between Adiposity Measures and the Risk of a Composite of Cardiovascular Events, Diabetes, and Cancer in Patients With Cardiovascular Disease

Ynte M. Ruigrok, Martin Teraa, Manon G. van der Meer, Jannick A N Dorresteijn et al.
Clinical Obesity
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Relation Between Adiposity Measures and the Risk of a Composite of Cardiovascular Events, Diabetes, and Cancer in Patients With Cardiovascular Disease

Ynte M. Ruigrok, Martin Teraa, Manon G. van der Meer, Jannick A N Dorresteijn, Frank L.J. Visseren, Thomas T. van Sloten, Ritika Bhattacharya
article en

Abstract

Adiposity contributes to multiple non-communicable diseases. To guide prevention of morbidity, this study aimed to quantify the relation between waist circumference (WC), body mass index (BMI), waist to height ratio (WtHR), abdominal subcutaneous (SAT) and visceral adipose tissue (VAT) and the risk of a composite outcome including recurrent cardiovascular events, incident type 2 diabetes and incident cancer, as well as each individual disease and all-cause mortality. Data were used from the UCC-SMART cohort study from 6138 patients with cardiovascular disease. Cox proportional hazard models estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) for adiposity measures, modelled as quartiles and per 1 SD increase, in relation to disease outcomes. All adiposity measures, except SAT, were related to higher risk of the composite outcome. WC and VAT showed the strongest relation (HR 1.62, 95% CI: 1.43, 1.83 and 1.62, 95% CI: 1.44, 1.83, respectively). Only WC and VAT were related to all-cause mortality (HRs 1.17, 95% CI: 1.01, 1.37 and 1.26, 95% CI: 1.08, 1.46, respectively). In patients with cardiovascular disease, WC and VAT are most strongly related to the risk of the composite outcome and to all-cause mortality. Monitoring adiposity with WC and VAT may help identify high-risk patients and could guide earlier interventions.

Clinical ObesityVol. 16(1)
Utrecht University (NL), University Medical Center Utrecht (NL)
Openalex Percentile: Top 47%
Diabetes, Cardiovascular Risks, and Lipoproteins
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Relation Between Adiposity Measures and the Risk of a Composite of Cardiovascular Events, Diabetes, and Cancer in Patients With Cardiovascular Disease — Ynte M. Ruigrok, Martin Teraa, et al. · Clinical Obesity (2025) | TGRS Research Map | TGRS