Capacity of a body shape index and body roundness index to identify diabetes mellitus in Han Chinese people in Northeast China: a cross-sectional study

2018 ◽  
Vol 35 (11) ◽  
pp. 1580-1587 ◽  
Author(s):  
Q. Zhao ◽  
K. Zhang ◽  
Y. Li ◽  
Q. Zhen ◽  
J. Shi ◽  
...  
Obesity Facts ◽  
2022 ◽  
pp. 1-10
Author(s):  
Daiji Nagayama ◽  
Yasuhiro Watanabe ◽  
Takashi Yamaguchi ◽  
Kenji Suzuki ◽  
Atsuhito Saiki ◽  
...  

<b><i>Introduction:</i></b> Abdominal obesity as a risk factor for diagnosing metabolic syndrome (MetS) is evaluated using waist circumference (WC), although WC does not necessarily reflect visceral adiposity. This cross-sectional study aimed to clarify whether replacing WC with “A Body Shape Index (ABSI),” an abdominal obesity index, in MetS diagnosis detects individuals with arterial stiffening assessed by cardio-ankle vascular index (CAVI). <b><i>Methods:</i></b> A retrospective cross-sectional study was conducted in 46,872 Japanese urban residents (median age 40 years) who underwent health screening. Exclusion criteria were current treatments and a past history of cardiovascular disease (CVD). The Japanese, International Diabetes Federation, and NCEP-ATPIII criteria were used to diagnose MetS. High CAVI was defined as CAVI ≥9.0. <b><i>Results:</i></b> CAVI correlated positively with ABSI (β = 0.127), but negatively with WC (β = −0.186), independent of age, sex, systolic blood pressure, fasting plasma glucose, and high-density lipoprotein--cholesterol. Receiver operating characteristic (ROC) analysis showed that ABSI had a stronger contribution to high CAVI (area under the ROC curve [AUC] = 0.730) than WC (AUC = 0.595) and body mass index (AUC = 0.520). ABSI ≥0.080 was defined as abdominal obesity based on the results of ROC analysis for high CAVI and estimated glomerular filtration rate &#x3c;60 mL/min/1.73 m<sup>2</sup>. Logistic regression analysis revealed that replacing high WC with ABSI ≥0.080 in MetS diagnosis enhanced the detection of subjects with high CAVI. <b><i>Discussion/Conclusion:</i></b> Use of ABSI can detect subjects with arterial stiffening, which may lead to efficient stratification of CVD risk. Further studies are needed to confirm whether MetS diagnosis using ABSI predicts CVD morbidity and mortality.


BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e032874 ◽  
Author(s):  
Joyce Ying Hui Tee ◽  
Wan Ying Gan ◽  
Poh Ying Lim

ObjectiveTo compare the performance of different anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and a body shape index to predict high blood pressure (BP) in adolescents using the 90th and 95th percentiles as two different thresholds.DesignCross-sectional study.SettingProbability proportionate to size was used to randomly select two schools in Selangor state, Malaysia.ParticipantsA total of 513 adolescents (58.9% women and 41.1% men) aged 12–16 years were recruited.Primary and secondary outcome measuresWeight, height, WC and BP of the adolescents were measured. The predictive power of anthropometric indices was analysed by sex using the receiver operating characteristic curve.ResultsBMI and WHtR were the indices with higher areas under the curve (AUCs), yet the optimal cut-offs to predict high BP using the 95th percentile were higher than the threshold for overweight/obesity. Most indices showed poor sensitivity under the suggested cut-offs. In contrast, the optimal BMI and WHtR cut-offs to predict high BP using the 90th percentile were lower (men: BMI-for-age=0.79, WHtR=0.46; women: BMI-for-age=0.92, WHtR=0.45). BMI showed the highest AUC in both sexes but had poor sensitivity among women. WHtR presented good sensitivity and specificity in both sexes.ConclusionsThese findings suggested that WHtR might be a useful indicator for screening high blood pressure risk in the routine primary-level health services for adolescents. Future studies are warranted to involve a larger sample size to confirm these findings.


PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0185013 ◽  
Author(s):  
Simona Bertoli ◽  
Alessandro Leone ◽  
Nir Y. Krakauer ◽  
Giorgio Bedogni ◽  
Angelo Vanzulli ◽  
...  

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