scholarly journals A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents

2019 ◽  
Vol Volume 12 ◽  
pp. 2075-2083 ◽  
Author(s):  
Yifei Zhang ◽  
Jingyao Hu ◽  
Zhiqiang Li ◽  
Ting Li ◽  
Manman Chen ◽  
...  
2020 ◽  
Author(s):  
Li Zhang ◽  
Zizhe Zhang ◽  
Bangxuan Wang ◽  
Yongting Yuan ◽  
Lili Sun ◽  
...  

Abstract BackgroundThe children’s lipid accumulation product (CLAP) was associated with MS in Chinese children and adolescents. The study was to develop a more effective indicator, relative children’s lipid accumulation product (RCLAP)associated with MS reflect the density of lipid accumulation among Chinese children and adolescents. MethodsA stratified cluster sampling method was used to recruit 683 students aged 8-15 years in this study. The presence of MS was defined according to the NCEP-ATP III criteria. The t-test, chi-square test, logistic regression models were used to analyze the associations of SBMI, SWHtR, SlnCLAP, SRCLAP-H, SRCLAP-SH, RCLAP-W with MS. Receiver Operating Characteristic (ROC) curves was used to evaluate the predictive efficiency of above indexes for predicting MS. ResultsThe overall prevalence of MS was 4.8% (boys 6.6%, girls 2.8%). In girls, after adjusting for sedentary activity time, WHtR, BMI, CLAP, RCLAP-H, RCLAP-SH and RCLAP-W significantly increased risk of MS (OR(95%CI):15.79 (3.15-79.21), 3.73 (0.87-15.95), Null, 96.13 (11.11-831.97), 96.13 (11.11-831.97), 18.28 (4.24-78.87), respectively). In boys, after adjusting for ages and moderate-to-vigorous physical activity time, WHtR, BMI, CLAP, RCLAP-H, RCLAP-SH and SRCLAP-W significantly increased risk of MS (OR(95%CI): 37.43(11.67-120.10), 68.33(18.51-252.20), 105.86(21.99-509.68), 171.75(33.60-878.00), 133.18(27.65-641.39), 50.13(15.48-162.37, respectively). The AUCs of RCLAP-H and RCLAP-SH for predicting MS were 0.950, 0.948 in girls, and 0.952, 0.952 in boys, which were higher than these of BMI, WHtR, CLAP and RCLAP-W.ConclusionThe relative children,s lipid accumulation products(RCLAP-H and RCLAP-SH ) were more effective indicators for predicting MS than BMI, WHtR and CLAP in Chinese children and adolescents.


2020 ◽  
Author(s):  
Bangxuan Wang ◽  
Yongting Yuan ◽  
Jingyao Hu ◽  
Lili Sun ◽  
Rongying Yao ◽  
...  

Abstract Background and aimsThe dyslipidemia contributed to more than half Cardiovascular disease (CVD) which ranked first in all causes of death in the world. Children’s lipid accumulation product (CLAP) is significantly related to cardiac metabolic risk factors in children and adolescents. The present study was to explore a novel indicator of children’s lipid accumulation product (CLAP) associated with dyslipidemia in Chinese children and adolescents.MethodsA total of 683 children and adolescents aged 8-15 years were recruited using the stratified cluster sampling method in this cross-sectional study, and were measured their body height, weight, waist circumference (WC), abdominal skinfold thickness (AST), triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), dietary behaviors and physical activities. A logistic regression model and receiver operating characteristic curve (ROC curve) were used to compare the effects of CLAP for predicting dyslipidemia.ResultsThe prevalence of dyslipidemia was 13.6% (13.9% in boys and 13.2% in girls). The AUC (95%CI) of CLAP for predicting dyslipidemia was 0.76 (0.66-0.84) in girls, was 0.83 (0.76-0.89) in boys, and was higher than those of Sweight, SWC, SAST, SWHtR, and SBMI, respectively. The P85 of CLAP was the optimal value to predict dyslipidemia among girls (OR (95% CI): 10.54(5.09-21.82), AUC (95% CI): 0.72 (0.62-0.81). The P75 of CLAP was the optimal value to predict dyslipidemia among boys (OR (95% CI): 8.74(4.54-16.85), AUC (95% CI): 0.73 (95% CI 0.65-0.81).ConclusionsThe CLAP was a novel indicator associated with dyslipidemia in Chinese children and adolescents, and performed better than weight, WC, AST, WHtR, and BMI.


PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e47380 ◽  
Author(s):  
Fangfang Chen ◽  
Youfa Wang ◽  
Xiaoyi Shan ◽  
Hong Cheng ◽  
Dongqing Hou ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Li Zhang ◽  
Zizhe Zhang ◽  
Bangxuan Wang ◽  
Yongting Yuan ◽  
Lili Sun ◽  
...  

BackgroundThe children’s lipid accumulation product (CLAP) is associated with MS in Chinese children and adolescents. The aim of this study was to develop a more effective indicator, the relative children's lipid accumulation product (RCLAP) was evaluated for correlation with MS and the density of lipid accumulation.MethodsA stratified cluster sampling method was used to recruit 683 students aged 8–15 years in this study. The presence of MS was defined according to the NCEP-ATP III criteria. The participants’ guardians signed informed consent before the medical examination. This study was approved by the Medical Ethics Committee of the Bengbu Medical College [(2015) No.003] and was conducted in accordance with the Declaration of Helsinki.ResultsThe overall prevalence of MS was 4.8% (male 6.6%, female 2.8%). After adjusting for sedentary activity time, relative children's lipid accumulation product per height (RCLAP-H) and relative children's lipid accumulation product per sitting height (RCLAP-SH) significantly increased the risk of MS in girls [OR (95% CI): 96.13 (11.11–831.97) and 96.13 (11.11–831.97), respectively]. After adjusting for ages and moderate-to-vigorous physical activity time, RCLAP-H, and RCLAP-SH significantly increased the risk of MS in boys [OR (95% CI): 171.75 (33.60–878.00) and 133.18 (27.65–641.39), respectively]. The AUCs of RCLAP-H and RCLAP-SH for predicting MS were 0.950, 0.948 in girls, and 0.952, 0.952 in boys, which were higher than BMI, WHtR, Tg/HDL-C, CLAP, and CLAP combining height, sitting height.ConclusionsThe RCLAP-H and RCLAP-SH were more effective indicators for predicting MS than BMI, WHtR, Tg/HDL-C, and CLAP in children and adolescents.


PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0186222 ◽  
Author(s):  
Ge Li ◽  
Linxin Xu ◽  
Yanglu Zhao ◽  
Lujiao Li ◽  
Junling Fu ◽  
...  

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