Waist Circumference Predicts Risk of Cardiovascular Events

2007 ◽  
Vol 40 (17) ◽  
pp. 37
Author(s):  
HANNAH BROWN
2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Alejandra Farias Godoy ◽  
Andrew Ignaszewski ◽  
Jiri Frohlich ◽  
Scott A. Lear

Metabolic syndrome increases the risk of all-cause mortality, cardiovascular mortality and cardiovascular events in patients with cardiovascular disease (CVD). This study assessed the predictors of metabolic syndrome, both its incidence and resolution in a cohort of cardiac rehabilitation program graduates. Methods. A total of 154 and 80 participants without and with metabolic syndrome respectively were followed for 48 months. Anthropometric measurements, metabolic risk factors, and quality of life were assessed at baseline and at 48 months. Logistic regression models were used to assess the predictors of metabolic syndrome onset and resolution. Results. Increasing waist circumference (OR 1.175, P≤0.001) was an independent predictor for incident metabolic syndrome (R2 for model = 0.46). Increasing waist circumference (OR 1.234, P≤0.001), decreasing HDL-C (OR 0.027, P=0.005), and increasing triglycerides (OR 3.005, P=0.003) were predictors of metabolic syndrome resolution. Conclusion. Patients with CVD that further develop metabolic syndrome are particularly susceptible for the cascade of cardiovascular events and mortality. Increasing waist circumference confers a higher risk for future onset of metabolic syndrome in this group of patients. They will require closer follow-up and should be targeted for further prevention strategies after cardiac rehabilitation program completion.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Guang-Ran Yang ◽  
Ming-Xia Yuan ◽  
Gang Wan ◽  
Xue-Lian Zhang ◽  
Han-Jing Fu ◽  
...  

AbstractObesity increases the risk of developing cardiovascular disease and other metabolic diseases. We intended to compare three different anthropometric indicators of obesity, in predicting the incidence of cardiovascular events in Chinese type 2 diabetes. Beijing Community Diabetes Study was a prospective multi-center study conducted in Beijing community health centers. Type 2 diabetes patients from fourteen community health centers were enrolled at baseline. The primary endpoint was cardiovascular events. The upper quartile of neck circumference (NC) was set as greater NC. A total of 3299 diabetes patients were enrolled. In which, 941 (28.52%) had cardiovascular disease at baseline. Logistic analysis showed that central obesity (waist circumference (WC) above 90 cm in men and 85 cm in women) and greater NC were all related to baseline cardiovascular disease (adjusted OR = 1.49, and 1.55). After 10-year follow-up, 340 (10.31%) had cardiovascular events. Compared with patients without cardiovascular events, those having cardiovascular events had higher BMI, larger WC and NC. Cox regression analysis showed that greater WC and NC were all associated with the occurrence of cardiovascular events (adjusted HR = 1.41, and 1.38). A higher NC and WC might increase the risk of cardiovascular events by about 40% in type 2 diabetes patients in Beijing communities.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 251-251
Author(s):  
Diana M Greenfield ◽  
Nina Salooja ◽  
Christophe Peczynski ◽  
Steffie van der Werf ◽  
Helene Schoemans ◽  
...  

Abstract Metabolic syndrome (MetS) is defined as a clustering of five factors including (1) fasting hyperglycaemia (2) hypertriglyceridaemia (3) low HDL cholesterol (4) hypertension (5) obesity (high waist circumference). According to the International Diabetes Federation harmonised definition, a large waist circumference plus any other two features meet criteria for diagnosis of MetS. It is associated with raised risk of cardiovascular disease (CVD) by 3-fold and is increasingly recognised in patients after HCT. Recent guidelines for long-term HCT survivors recommend screening for MetS. We performed a large cross-sectional service evaluation of HCT survivors in centres working in accordance with international screening guidelines. We have previously presented interim results regarding the prevalence of MetS and associated risk factors and now present the final results. This was an EBMT approved cross-sectional, non-interventional study of consecutive HCT patients (allo and auto) aged 18+ years and a minimum of 2 year post-transplant attending routine follow-up HCT and/or late effects clinics in 9 centres. Centres completed proformas incorporating routine recording of the MetS parameters (given above) as well as performance status (ECOG); evidence of cardiovascular events; family history of premature CVD; and relevant drug history. Univariate comparison of patients and HCT characteristics between the 2 groups (MetS vs no MetS) was performed using non-parametric Mann-Witney U test for continuous variables and Chi-square test or Fisher test for categorical variables. All tests were two-sided. Multivariate logistic regression analyses were performed to predict MetS and cardiovascular events. Variables with a p-value <0.2 in univariate analysis were included. Table 1 gives the population demographic, age, primary disease and transplant details. The prevalence of MetS was 30.4% (allo 29%, auto 35.6% ns). There was a significant difference in prevalence by age at follow-up (p<0.001 with increasing age) with 39% having MetS in those aged 50+. ECOG status was not significantly different between those with or without MetS. No relationship between presence or degree of acute or chronic GvHD was observed and no difference in current use of immunosuppressant therapy. Notably, there was a significantly higher prevalence of cardiovascular events in those with MetS than those without (22.6.vs 10.7%, P=0.006). Logistic regression analysis confirmed that MetS is a predictor of cardiovascular events (OR 4.72, 95%CI 2.11-10.57). CVE were also associated with occurrence of a second malignancy (OR 7.93, 95%CI 2.91-21.61). There was an influence of increasing age both in the prevalence of metabolic syndrome (OR 7.3, 95% CI 3.2,16.8) and CVE (OR 3, 95%CI 0.8-11.32) for the over 50s compared with those aged 18-29. This large study in HCT survivors confirms high prevalence of metabolic syndrome following both allogeneic and autologous HCT of 30.4% overall rising to 39% in those aged over 50 years at follow-up. The data support MetS being an age-related late effect of HCT that is strongly associated with not only cardiovascular events but also the occurrence of second cancers. Further analysis examining the relationship between intensity of treatment and prevalence of MetS and CVE is needed. The data supports routine screening for MetS of both allo and auto HCT patients. Early intervention of reversible features of MetS with lifestyle and medical management may reduce the risk of cardiovascular events, but this needs be tested in a randomised controlled trial setting. Meanwhile, screening and management should be robustly integrated within routine HCT long-term follow-up care. Table 1. Table 1. Disclosures Cortelezzi: janssen: Consultancy; novartis: Consultancy; roche: Consultancy; abbvie: Consultancy. Mohty:Jazz Pharmaceuticals: Honoraria, Research Funding, Speakers Bureau; Servier: Consultancy; Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau; MaaT Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Speakers Bureau; Bristol Myers: Consultancy, Research Funding; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Molmed: Consultancy; Janssen: Honoraria, Research Funding, Speakers Bureau. Kroeger:Novartis: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Riemser: Honoraria, Research Funding; JAZZ: Honoraria; Sanofi: Honoraria; Neovii: Honoraria, Research Funding. Snowden:Jazz & Sanofi: Other: Speaker fees at ASH; Jannssen/J&J: Other: Speaker fees.


2019 ◽  
Vol 26 (9) ◽  
pp. 905-916 ◽  
Author(s):  
Oyuntugs Byambasukh ◽  
Michele F Eisenga ◽  
Ron T Gansevoort ◽  
Stephan JL Bakker ◽  
Eva Corpeleijn

Aims To investigate prospectively the association of body fat percentage (BF%) estimates using various equations from bioelectrical impedance analysis (BIA) with cardiovascular events, compared with body mass index (BMI) and waist circumference. Methods and results We used data of 34 BIA-BF%-equations that were used for estimation of BF% in 6486 (men = 3194, women = 3294) subjects. During a median follow-up of 8.3 years, 510 (7.9%) cardiovascular events (363 in men; 147 in women) occurred. In men, the crude hazard ratio (95% confidence interval) for BF% from the best predicting BIA-BF%-equation was 3.97 (3.30–4.78) against 2.13 (1.85–2.45) for BF% from the BIA device's BIA-BF%-equation, 1.34 (1.20–1.49) for BMI and 1.49 (1.40–1.73) for waist circumference per log-1-SD increase of all. In women, the hazard ratios for best predicting BIA-BF%-equation, BIA device estimation, BMI and waist circumference were 3.80 (2.85–4.99), 1.89 (1.57–2.28), 1.35 (1.21–1.51) and 1.52 (1.31–1.75), respectively. After adjustments for age, Framingham cardiovascular disease risk score and creatinine excretion – a marker of muscle mass – BF%s and BMI remained independently associated with cardiovascular events in both men and women, while waist circumference was independently associated with cardiovascular events in men, but not in women. According to discrimination ability (C-index) and additive predictive value (net reclassification index and integrated discrimination index) on obesity measures to the Framingham cardiovascular disease risk score, BF% was superior to BMI and waist circumference in both men and women. Conclusions BF% was independently associated with future cardiovascular events. Body fat estimates from the best-predicting BIA-BF%-equations can be a more predictive measurement in cardiovascular risk assessment than BMI or waist circumference.


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