Literature DB >> 26279413

Waist:height ratio, waist circumference and metabolic syndrome abnormalities in Colombian schooled adolescents: a multivariate analysis considering located adiposity.

Ricardo Antonio Agredo-Zúñiga1, Cecilia Aguilar-de Plata2, Milton Fabian Suárez-Ortegón3.   

Abstract

Very few large studies in Latin America have evaluated the association between waist:height ratio (W-HtR) and cardiometabolic risk in children and adolescents. Further, multivariable analyses verifying the independence of located subcutaneous fat have not been conducted so far. The aim of this study was to evaluate the associations of W-HtR and waist circumference (WC) with metabolic syndrome abnormalities and high LDL-cholesterol levels in schooled adolescents before and after adjusting for trunk skinfolds and BMI. The sample consisted of 831 boys and 841 girls aged 10-17 years. Biochemical, blood pressure and anthropometrical variables were measured. Age- and sex-specific quartiles of W-HtR and WC were used in Poisson regression models to evaluate the associations. High WC values (highest quartile v. quartiles 1-3) were associated with high TAG levels in both sexes (prevalence ratio, boys: 2·57 (95 % CI 1·91, 3·44); girls: 1·92 (95 % CI 1·49, 2·47); P0·05). High W-HtR (highest quartile v. quartiles 1-3) was only independently associated with high TAG in female adolescents (1·99 (95 % CI 1·55, 2·56); P<0·05). In conclusion, WC showed better association with cardiometabolic risk than W-HtR in the children of this study. This observation does not support W-HtR as a relevant adiposity marker for cardiovascular and metabolic risk in adolescence.

Entities:  

Keywords:  Adolescents; Cardiovascular risk; Children; MetS metabolic syndrome; SS subscapular skinfold; W-HtR waist:height ratio; WC waist circumference; Waist:height ratio

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Year:  2015        PMID: 26279413     DOI: 10.1017/S0007114515002275

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  5 in total

1.  Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis.

Authors:  Juliana Cristina Eloi; Matias Epifanio; Marília Maia de Gonçalves; Augusto Pellicioli; Patricia Froelich Giora Vieira; Henrique Bregolin Dias; Neide Bruscato; Ricardo Bernardi Soder; João Carlos Batista Santana; Marialena Mouzaki; Matteo Baldisserotto
Journal:  PLoS One       Date:  2017-01-27       Impact factor: 3.240

2.  Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.

Authors:  Farzad Amirabdollahian; Fahimeh Haghighatdoost
Journal:  J Obes       Date:  2018-11-01

3.  Trends of central obesity and associations with nutrients intake and daily behaviors among women of childbearing age in China.

Authors:  Zichong Long; Lili Huang; Jiajun Lyu; Yuanqing Xia; Yiting Chen; Rong Li; Yanlin Wang; Shenghui Li
Journal:  BMC Womens Health       Date:  2022-01-12       Impact factor: 2.809

4.  Identification of an obesity index for predicting metabolic syndrome by gender: the rural Chinese cohort study.

Authors:  Leilei Liu; Yu Liu; Xizhuo Sun; Zhaoxia Yin; Honghui Li; Kunpeng Deng; Xu Chen; Cheng Cheng; Xinping Luo; Ming Zhang; Linlin Li; Lu Zhang; Bingyuan Wang; Yongcheng Ren; Yang Zhao; Dechen Liu; Junmei Zhou; Chengyi Han; Xuejiao Liu; Dongdong Zhang; Feiyan Liu; Chongjian Wang; Dongsheng Hu
Journal:  BMC Endocr Disord       Date:  2018-08-06       Impact factor: 2.763

Review 5.  Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome.

Authors:  Helen H Wang; Dong Ki Lee; Min Liu; Piero Portincasa; David Q-H Wang
Journal:  Pediatr Gastroenterol Hepatol Nutr       Date:  2020-05-08
  5 in total

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