scholarly journals Correlation of waist to height ratio with cardiometabolic risk factors and cardiovascular disease in patients with DMT1

Author(s):  
ELINA EL NTEIK
2014 ◽  
Vol 33 (2) ◽  
pp. 311-315 ◽  
Author(s):  
Anna Sijtsma ◽  
Gianni Bocca ◽  
Carianne L'Abée ◽  
Eryn T. Liem ◽  
Pieter J.J. Sauer ◽  
...  

2016 ◽  
Vol 14 (10) ◽  
pp. 492-499 ◽  
Author(s):  
Naval K. Vikram ◽  
Ahmad Nawid Latifi ◽  
Anoop Misra ◽  
Kalpana Luthra ◽  
Surya Prakash Bhatt ◽  
...  

2017 ◽  
Vol 10 (4) ◽  
pp. 251
Author(s):  
Miliva Mozaffor ◽  
Md. Matiur Rahman ◽  
Mariya Tabassum ◽  
Forhadul Hoque Mollah

<p>The aim of this study was to see the cardiometabolic risk among doctors using waist-to-height ratio index as tool. Cardiometabolic risk is an umbrella term that includes all the risk factors of diabetes and cardiovascular disease. The study was conducted among 195 doctors. According to waist-to-height ratio index 167 (85.6%) doctors had cardiometabolic risk. Waist-to-height ratio index was found good (area under the curve &gt;0.5, sensitivity 88.1%, specificity 23.2%, positive predictive value 53.9%, and negative predictive value 66.7%) for their predictive value of cardiometabolic risk. Age grouping was done and found that no age group was free from cardiometabolic risk.</p>


2016 ◽  
Vol 20 (6) ◽  
pp. 984-991 ◽  
Author(s):  
Peng Ju Liu ◽  
Fang Ma ◽  
Hui Ping Lou ◽  
Yan Ning Zhu

AbstractObjectiveWaist-to-height ratio (WHtR) has been reported to be more strongly associated with cardiometabolic risk factors among non-obese individuals than BMI and waist circumference (WC). A body shape index (ABSI) and body roundness index (BRI) have been proposed recently to assess obesity-related disorders or mortalities. Our aim was to compare the ability of ABSI and BRI with that of WHtR to identify cardiometabolic risk factors in Chinese adults with normal BMI and WC.DesignReceiver-operating characteristic curves and areas under the curve (AUC) were employed to evaluate the ability of the indices (WHtR, BRI, ABSI) to identify metabolic risk factors and to determine the indices’ optimal cut-off values. The value of each index that resulted in maximization of the Youden index (sensitivity + specificity – 1) was defined as optimal. Differences in the AUC values between the indices were also evaluated.SettingIndividuals attending a voluntary health check-up in Beijing, China, July–December 2015, were recruited to the study.SubjectsNon-obese adults (n 1596).ResultsAmong both genders, ABSI exhibited the lowest AUC value for identifying each risk factor among the three indices; the AUC value of BRI for identifying each risk factor was very close to that of WHtR, and no significant differences were observed between the AUC values of the two new indices.ConclusionsWhen evaluating cardiometabolic risk factors among non-obese adults, WHtR was a simple and effective index in the assessment of cardiometabolic risk factors, BRI could be used as an alternative body index to WHtR, while ABSI could not.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Christian Obirikorang ◽  
Yaa Obirikorang ◽  
Emmanuel Acheampong ◽  
Enoch Odame Anto ◽  
Emmanuel Toboh ◽  
...  

The study determined the association of wrist circumference (WrC) and waist-to-height ratio (WHtR) with cardiometabolic risk factors among diabetics in a Ghanaian population. This cross-sectional study involved 384 diabetic patients at Begoro District Hospital, Ghana. Blood pressure, anthropometrics, and biochemical indices were measured. The overall prevalence of dyslipidaemia, metabolic syndrome (MetS), and hypertension was 42.4%, 76.3%, and 39.8%, respectively. The optimum cut-off range of WrC to identify individuals at increased cardiometabolic risk was 17.5 to –17.8 cm for men and 16.0 to 16.7 cm for women while that of WHtR was 0.52 to 0.61 for men and 0.53 to 0.59 for women. WrC for women was a significant independent predictor for MetS [aOR = 3.0 (1.39–6.72), p=0.005] and systolic blood pressure [aOR = 2.08 (1.17–3.68), p=0.012]. WHtR was a significant positive predictor for triglycerides [aOR = 3.23 (0.10–3.82), p=0.001] for women. Using Framingham risk scores, 61% of the subjects had elevated 10-year risk of developing cardiovascular diseases (CVDs), with no significant difference in gender prevalence. WrC [aOR = 6.13 (0.34–111.4), p=0.107] and WHtR [aOR = 2.52 (0.42–15.02), p=0.309] were associated with statistically insignificant increased odds of moderate-to-high risk of developing CVDs in 10 years. The use of gender-specific cut-offs for WrC and WHtR may offer putative markers for early identification of CRFs.


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