Waist circumference versus body mass index in risk prediction of coronary heart disease: comparing apples and oranges

2004 ◽  
Vol 255 (6) ◽  
pp. 690-691 ◽  
Author(s):  
T. O. Cheng
Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Parinya Chamnan ◽  
Weera Mahawanakul ◽  
Wichai Aekplakorn ◽  
Wannee Nitiyanant ◽  
Prasert Boongird ◽  
...  

Introduction: Body mass index (BMI) and waist circumference has been reported to have a positive association with risk of coronary heart disease (CHD) and their optimal levels have been proposed. However, the association was less well described in Asian population. Hypothesis: This study aimed to examine the risk of developing CHD across different levels of BMI and waist circumference in a large retrospective cohort of Thai general population. Methods: This retrospective cohort was derived from the linkage of 2006 health checks data with diagnostic information from electronic health records of 708,544 men and women aged 20 years and above residing in Ubon Ratchathani. We examined the incidence of CHD over 6 years of follow-up in individuals with different levels of BMI defined by the WHO Asia-Pacific cut-offs and central obesity defined as waist circumference higher than half of each individual’s height. Corresponding hazard ratios were computed using Cox proportional hazards regression. Results: Over 3,514,681 person-years, 2,562 CHD cases developed, an overall incidence of 0.73 (95%CI 0.70-0.76) per 1,000 person-years. BMI had a J-shape association with CHD risk, with those with a BMI of 20-22.4 kg/m2 showing the lowest CHD incidence. Waist circumference had a curvilinear relationship with CHD risk, with CHD risk starting to increase after waist circumference of 80 and 85 cm in women and men respectively. CHD risk increased with higher levels of BMI and waist circumference (Table 1). Compared to those with BMI of 20.0-22.9 kg/m 2 and without central obesity, those with BMI higher than 30 kg/m 2 and with and without central obesity had a 1.8 and 2.4 fold increased risk of CHD (Adjusted hazards ratio 1.80 (1.46-2.24) and 2.39 (1.38-4.13) respectively). Conclusions: Different levels of BMI and waist circumference conferred different CHD risk. Change in optimal cut-off of BMI and waist circumference for the Thai population should be considered.


2013 ◽  
Vol 20 (5) ◽  
pp. 759-762 ◽  
Author(s):  
Dexter Canoy ◽  
Benjamin J Cairns ◽  
Angela Balkwill ◽  
F Lucy Wright ◽  
Jane Green ◽  
...  

2010 ◽  
Vol 4 (3) ◽  
pp. e171-e181 ◽  
Author(s):  
Alan J. Flint ◽  
Kathryn M. Rexrode ◽  
Frank B. Hu ◽  
Robert J. Glynn ◽  
Hervé Caspard ◽  
...  

2014 ◽  
Vol 21 (30) ◽  
pp. 3455-3465 ◽  
Author(s):  
G.D. Kolovou ◽  
V. Kolovou ◽  
P.M. Kostakou ◽  
S. Mavrogeni

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ahryoung Ko ◽  
Kyuwoong Kim ◽  
Joung Sik Son ◽  
Yu Jin Cho ◽  
Sang Min Park ◽  
...  

AbstractAssociation between body mass index (BMI) and coronary heart disease (CHD) in cancer survivors is not clearly established. This study analyzed the prediagnosis BMI-CHD association by examining 13,500 cancer survivors identified from the National Health Insurance Service-Health Screening Cohort from January 1, 2004 to December 31, 2009 including the patients who were free of cardiovascular disease at enrollment. The Cox proportional hazards model (adjusted for socioeconomic, health behavior, health status, and medical characteristics) was used for calculating hazard ratios (HR) and 95% confidence intervals (95% CI) for CHD in each prediagnosis BMI category among cancer survivors. Compared to cancer survivors with a prediagnosis BMI between 18.5 and 22.9 kg/m2, those with a prediagnosis BMI of 23.0–24.9 kg/m2 and ≥ 25.0 kg/m2 had significantly higher CHD risk (HR = 1.51; 95% CI: 1.13–2.01 and HR = 1.38; 95% CI: 1.04–1.84, respectively). Cancer survivors with a low prediagnosis BMI (< 18.5 kg/m2) also had significantly higher CHD risk (HR = 1.97; 95% CI: 1.20–3.24) compared to those with a BMI of 18.5–22.9 kg/m2. Similar associations were found after stratifying analyses based on first cancer site and sociodemographic and medical characteristic subgroups. Our study suggests that prediagnosis underweight among patients with cancer is a predictor of CHD risk.


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