Literature DB >> 20054185

Measurement of waist circumference at four different sites in children, adolescents, and young adults: concordance and correlation with nutritional status as well as cardiometabolic risk factors.

Britta Hitze1, Anja Bosy-Westphal, Fenja Bielfeldt, Uta Settler, Heiner Mönig, Manfred James Müller.   

Abstract

BACKGROUND: This study investigates the concordance of four waist circumference (WC) measurement sites, and examines their relationships with nutritional status and cardiometabolic risk. SUBJECTS AND METHODS: In 91 females / 89 males (6.1-19.9 years; 12.2% overweight), WC was assessed beneath the lowest rib (WCR), 4 cm above the umbilicus (WC4), above the iliac crest (WCC), and midway between WCR/WCC (WCM). 'Overwaist' was defined as a WC > 90th age-/sex-specific percentile. Pubertal stage was assessed according to Tanner. Body composition (air-displacement plethysmography), blood pressure, lipid profile, glucose/insulin levels, and HOMA-IR (homeostasis model assessment of insulin resistance) were measured.
RESULTS: Medians of WCs (cm) for females/males were WCR (64.4/69.5) < WC4 (64.6/70.2) < WCM (67.1/71.2) < WCC (71.5/ 74.2). Although closely related to each other (all r > 0.93; p < 0.001), paired comparisons revealed differences between WCs in their magnitudes which was stronger for females than males. Prevalence of 'overwaist' differed according to measurement site in females/males: WCR (13.2/15.7%) < WC4 (14.3/ 19.1%) < WCM (18.7/22.5%) < WCC (37.4/30.3%). After adjusting for age and pubertal status, WCs were closely related to body mass index (BMI) (all r > 0.86; p < 0.001), percent fat mass (%FM; all r > 0.61; p < 0.001), and comparably associated with cardiometabolic risk factors. However, stronger correlations were found for i) WCR vs. WC4 with BMI in males (r = 0.93 vs. 0.91; p < 0.05), ii) WCC vs. WC4 with %FM in females (r = 0.67 vs. 0.61; p < 0.05), iii) WCC vs. WCR with triglycerides in females (r = 0.29 vs. r = 0.22; p < 0.05), and iv) WCC (r = 0.36) vs. other WCs (r = 0.30-0.32) with low-density lipoprotein cholesterol (LDL-C) in males (p < 0.05).
CONCLUSION: WCs measured at different sites were closely correlated with BMI and %FM as well as comparably associated with cardiometabolic risk factors. However, different WCs had different magnitudes, which was more obvious in females and led to discordant results with respect to 'overwaist' and risk assessment.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 20054185      PMCID: PMC6515885          DOI: 10.1159/000157248

Source DB:  PubMed          Journal:  Obes Facts        ISSN: 1662-4025            Impact factor:   3.942


  6 in total

1.  Comparison of two waist circumference measurement protocols: the SEARCH for diabetes in youth study.

Authors:  D J Pettitt; J W Talton; A D Liese; L L Liu; N Crimmins; N A West; R B D' Agostino; H S Kahn
Journal:  Pediatr Obes       Date:  2012-09-19       Impact factor: 4.000

2.  Waist circumference percentiles for Portuguese children and adolescents aged 10 to 18 years.

Authors:  Luís B Sardinha; Rute Santos; Susana Vale; Manuel J Coelho e Silva; Armando M Raimundo; Helena Moreira; Fátima Baptista; Jorge Mota
Journal:  Eur J Pediatr       Date:  2011-10-07       Impact factor: 3.183

3.  Male waist circumference in relation to semen quality and partner infertility treatment outcomes among couples undergoing infertility treatment with assisted reproductive technologies.

Authors:  Haiyang Bian; Lidia Mínguez-Alarcón; Albert Salas-Huetos; David Bauer; Paige L Williams; Irene Souter; Jill Attaman; Jorge E Chavarro
Journal:  Am J Clin Nutr       Date:  2022-03-04       Impact factor: 7.045

4.  Waist circumference measurement site does not affect relationships with visceral adiposity and cardiometabolic risk factors in children.

Authors:  D M Harrington; A E Staiano; S T Broyles; A K Gupta; P T Katzmarzyk
Journal:  Pediatr Obes       Date:  2012-11-21       Impact factor: 4.000

5.  Comparisons of Waist Circumference Measurements at Five Different Anatomical Sites in Chinese Children.

Authors:  Chaoran Yang; Lin Wang
Journal:  Biomed Res Int       Date:  2017-02-02       Impact factor: 3.411

6.  Built Environment Associations with Adiposity Parameters among Overweight and Obese Hispanic Youth.

Authors:  Stephanie Hsieh; Ann C Klassen; Frank C Curriero; Laura E Caulfield; Lawrence J Cheskin; Jaimie N Davis; Michael I Goran; Marc J Weigensberg; Donna Spruijt-Metz
Journal:  Prev Med Rep       Date:  2015
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.