Central obesity is a more sensitive predictor of cardiovascular disease than body mass index in the Chinese population

2009 ◽  
Vol 135 (3) ◽  
pp. 385 ◽  
Author(s):  
Tsung O. Cheng
2014 ◽  
Vol 47 (4) ◽  
pp. 554-558 ◽  
Author(s):  
ASTHA BANSAL ◽  
P. C. JOSHI

SummaryCentral obesity has been associated with the risk of cardiovascular and metabolic disease in children. A total of 358 Delhi school girls aged 6–11 years were measured for height, weight, waist circumference and hip circumference. The study demonstrates a linear correlation between body mass index (BMI) and waist and hip circumference and suggests an indirect method of estimating waist and hip circumferences, whose high values may be used for the diagnosis of metabolic syndrome and cardiovascular disease. Further investigations on different groups are needed to substantiate these results and attribute BMI a predictive value in the clinical setting for the risk and diagnosis of childhood obesity-related metabolic disorders.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Barbara Iyen ◽  
Stephen Weng ◽  
Yana Vinogradova ◽  
Ralph K. Akyea ◽  
Nadeem Qureshi ◽  
...  

Abstract Background Although obesity is a well-recognised risk factor for cardiovascular disease (CVD), the impact of long-term body mass index (BMI) changes in overweight or obese adults, on the risk of heart failure, CVD and mortality has not been quantified. Methods This population-based cohort study used routine UK primary care electronic health data linked to secondary care and death-registry records. We identified adults who were overweight or obese, free from CVD and who had repeated BMI measures. Using group-based trajectory modelling, we examined the BMI trajectories of these individuals and then determined incidence rates of CVD, heart failure and mortality associated with the different trajectories. Cox-proportional hazards regression determined hazards ratios for incident outcomes. Results 264,230 individuals (mean age 49.5 years (SD 12.7) and mean BMI 33.8 kg/m2 (SD 6.1)) were followed-up for a median duration of 10.9 years. Four BMI trajectories were identified, corresponding at baseline, with World Health Organisation BMI classifications for overweight, class-1, class-2 and class-3 obesity respectively. In all four groups, there was a small, stable upwards trajectory in BMI (mean BMI increase of 1.06 kg/m2 (± 3.8)). Compared with overweight individuals, class-3 obese individuals had hazards ratios (HR) of 3.26 (95% CI 2.98–3.57) for heart failure, HR of 2.72 (2.58–2.87) for all-cause mortality and HR of 3.31 (2.84–3.86) for CVD-related mortality, after adjusting for baseline demographic and cardiovascular risk factors. Conclusion The majority of adults who are overweight or obese retain their degree of overweight or obesity over the long term. Individuals with stable severe obesity experience the worst heart failure, CVD and mortality outcomes. These findings highlight the high cardiovascular toll exacted by continuing failure to tackle obesity.


2021 ◽  
Vol 31 (5) ◽  
pp. 1613-1621
Author(s):  
Alexis E. Malavazos ◽  
Gloria Capitanio ◽  
Valentina Milani ◽  
Federico Ambrogi ◽  
Irene A. Matelloni ◽  
...  

Stroke ◽  
2005 ◽  
Vol 36 (7) ◽  
pp. 1377-1382 ◽  
Author(s):  
Renzhe Cui ◽  
Hiroyasu Iso ◽  
Hideaki Toyoshima ◽  
Chigusa Date ◽  
Akio Yamamoto ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e89986 ◽  
Author(s):  
Lise Graversen ◽  
Thorkild I. A. Sørensen ◽  
Liselotte Petersen ◽  
Ulla Sovio ◽  
Marika Kaakinen ◽  
...  

2019 ◽  
Vol 29 (2) ◽  
pp. 135-143 ◽  
Author(s):  
J. Rodríguez-Carrio ◽  
A. Martínez-Zapico ◽  
I. Cabezas-Rodríguez ◽  
L. Benavente ◽  
Á.I. Pérez-Álvarez ◽  
...  

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207845 ◽  
Author(s):  
Feifei Huang ◽  
Minqiang Zhang ◽  
Yan Li ◽  
Zhe Li ◽  
Junyan Fang ◽  
...  

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 511 ◽  
Author(s):  
Laura McDonald ◽  
Faisal Mehmud ◽  
Sreeram V. Ramagopalan

Recent studies have used mainstream consumer devices (Fitbit) to assess sleep objectively and test the well documented association between sleep and body mass index (BMI). In order to further investigate the applicability of Fitbit data for biomedical research across the globe, we analysed openly available Fitbit data from a largely Chinese population. We found that after adjusting for age, gender, race, and average number of steps taken per day, average hours of sleep per day was negatively associated with BMI (p=0.02), further demonstrating the significant potential for wearables in international scientific research.


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