Comparison of the ability to identify arterial stiffness between two new anthropometric indices and classical obesity indices in Chinese adults

2017 ◽  
Vol 263 ◽  
pp. 263-271 ◽  
Author(s):  
Jia Zhang ◽  
Lizheng Fang ◽  
Lifeng Qiu ◽  
Lijuan Huang ◽  
Wenhua Zhu ◽  
...  
2019 ◽  
Vol 16 (8) ◽  
pp. 601-607 ◽  
Author(s):  
Gislaine S. Kogure ◽  
Cristiana L. Miranda-Furtado ◽  
Daiana C.C. Pedroso ◽  
Victor B. Ribeiro ◽  
Matheus C. Eiras ◽  
...  

Background: Physical activity is prescribed as a component of primary management for polycystic ovary syndrome (PCOS). This nonrandomized, therapeutic, open, single-arm study investigated the effects of progressive resistance training (PRT) on obesity indices in women with PCOS, and the relationship between obesity indices and telomere content. Methods: A total of 45 women with PCOS and 52 with non-PCOS (controls), aged 18 to 37 years, with body mass indexes of 18 to 39.9 kg/m2, performed three 1-hour sessions of PRT per week, for 16 weeks. Before and after PRT, measures included anthropometric indices and regions of interest of fat mass distribution, quantified by dual-energy X-ray absorptiometry, metabolic and hormonal parameters, and telomere content. The general linear mixed models were used to determine the effects of PRT. Results: PRT did reduce the waist-to-height ratio, waist circumference, and the index of conicity among PCOS (P < .01). However, PRT did not influence regions of interest, body mass index, and WHR. After PRT, the telomere content was associated with regions of interest and anthropometric indices in whole group independent of PCOS (P < .05). Conclusion: Resistance exercise improves obesity indices in PCOS, independent of changes in body weight, and the relationship between telomeres and obesity parameters in PCOS remain to be fully clarified.


2014 ◽  
Vol 36 (5) ◽  
pp. 427-433 ◽  
Author(s):  
Jing Wang ◽  
Liping Liu ◽  
Yong Zhou ◽  
Chunxue Wang ◽  
Haitao Hu ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Yingshan Liu ◽  
Xiaocong Liu ◽  
Haixia Guan ◽  
Shuting Zhang ◽  
Qibo Zhu ◽  
...  

Objective: Individuals with both hypertension and diabetes have been confirmed to significantly increase the risk of cardiovascular disease morbidity and mortality compared with those with only hypertension or diabetes. This study aimed to evaluate the potential of different anthropometric indices for predicting diabetes risk among hypertensive patients.Methods: The study group consisted of 6,990 hypertensive adults without diabetes who were recruited in China. Demographic and clinical assessment, physical examinations, laboratory tests, and anthropometric measurements, including body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and novel indices (ABSI, AVI, BAI, BRI, CI, WWI, and WHHR), were performed at baseline and during the (median) 3-year follow-up. Cox regression analyses were conducted to estimate effects from these indices for the onset of diabetes. Receiver operator characteristic (ROC) analyses were conducted to assess the predictive capacities of the anthropometric indices and determine the optimal cut-points.Results: A total of 816 (11.7%) developed diabetes during our prospective study. Multivariate Cox regression analyses revealed weight, WC, WHR, WHtR, BAI, BRI, and WWI as the independent risk factor for diabetes among hypertensive patients, regardless of whether it was treated as a continuous or categorical variable (P &lt; 0.05). Further Cox analyses combining BMI and different central obesity indices showed that elevated WC, WHR, WHtR, AVI, BRI, CI, regardless of the general obesity status, were found to be each independently associated with increased diabetes risk (P &lt; 0.05). Dynamic increases of BRI &lt; 5.24 to BRI ≥ 5.24 were associated with increased risk (HR = 1.29; 95% CI, 1.02, 1.64), and its reversal was associated with reduced risk (HR = 1.56; 95% CI, 1.23, 1.98) compared with the others (HR = 1.95; 95% CI, 1.63, 2.32). ROC analysis indicated that the areas under the ROC curves (AUC) of the anthropometric indices ranged from 0.531 to 0.63, with BRI (cut-off value = 4.62) and WHtR having the largest area.Conclusions: Based on this novel study, BRI was the most superior predictor and independent determinant for diabetes onset among the hypertensive population. Hypertensive patients with BRI &gt; 4.62, regardless of general obesity status, were at high risk of diabetes. Thus, the prompt screening and diagnosis of diabetes should be carried out among these patients for timely integrated intervention.


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Xulong Yang ◽  
Shuohua Chen ◽  
Zhe Zhou ◽  
Yumin Qiu ◽  
Jianning Zhang ◽  
...  

2020 ◽  
Vol 39 (3) ◽  
pp. 893-900 ◽  
Author(s):  
Gang Li ◽  
Tao Yao ◽  
Xiao-wei Wu ◽  
Zhe Cao ◽  
Yuan-chao Tu ◽  
...  

2019 ◽  
Vol 42 (10) ◽  
pp. 1599-1605 ◽  
Author(s):  
Natsuho Haraguchi ◽  
Teruhide Koyama ◽  
Nagato Kuriyama ◽  
Etsuko Ozaki ◽  
Daisuke Matsui ◽  
...  

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