Literature DB >> 24999447

Comparing Height-Adjusted Waist Circumference Indices: The Fels Longitudinal Study.

Roy T Sabo1, Chungfeng Ren1, Shumei S Sun1.   

Abstract

OBJECTIVES: While researchers are increasingly recognizing the importance of adjusting waist circumference (WC) for height, no standard has yet been established. In this study we contrast three standard methods for indexing WC by height (using height, root-height and height-squared) via comparisons with age-specific optimal indices. STUDY DESIGN AND
SETTING: Measurements from 722 male and 746 female Caucasian participants in the Fels Longitudinal Study were used. The three standard waist-circumference indices (as well as an optimal index) were determined for ages 2 through 18, and for every decade thereafter to 70 years of age. Pearson correlations were used to assess the suitability of all indices.
RESULTS: The three standard indices remain correlated with the original WC measures, though each was associated with height at some ages. Waist-to-height ratio is suitable for some childhood ages (boys: 5 - 9, 13 - 16; girls: 4 - 7, 9, 11 - 14) but not for adult ages; Root-height works well mostly for older teenage children and adults but not in early childhood and adolescence; Height-squared is nowhere suitable. In both men and women, the optimal indexing factor ranged between root-height and height-squared in childhood, and is close to root-height in adulthood.
CONCLUSIONS: No one index is most suitable, as WC indexed by root-height is suitable for use with measurements from teenage children and adults, while waist-to-height ratio is generally suitable for use in children. WC indexed by height-squared is nowhere suitable.

Entities:  

Keywords:  Adiposity; Indexing; Obesity; Stature

Year:  2012        PMID: 24999447      PMCID: PMC4079075          DOI: 10.4236/ojemd.2012.23006

Source DB:  PubMed          Journal:  Open J Endocr Metab Dis        ISSN: 2165-7424


  15 in total

1.  Recommendations for chamber quantification: a report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology.

Authors:  Roberto M Lang; Michelle Bierig; Richard B Devereux; Frank A Flachskampf; Elyse Foster; Patricia A Pellikka; Michael H Picard; Mary J Roman; James Seward; Jack S Shanewise; Scott D Solomon; Kirk T Spencer; Martin St John Sutton; William J Stewart
Journal:  J Am Soc Echocardiogr       Date:  2005-12       Impact factor: 5.251

2.  Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children.

Authors:  Claudio Maffeis; Claudia Banzato; Giorgio Talamini
Journal:  J Pediatr       Date:  2007-11-19       Impact factor: 4.406

3.  The predictive value of different measures of obesity for incident cardiovascular events and mortality.

Authors:  Harald J Schneider; Nele Friedrich; Jens Klotsche; Lars Pieper; Matthias Nauck; Ulrich John; Marcus Dörr; Stephan Felix; Hendrik Lehnert; David Pittrow; Sigmund Silber; Henry Völzke; Günter K Stalla; Henri Wallaschofski; Hans-Ulrich Wittchen
Journal:  J Clin Endocrinol Metab       Date:  2010-02-03       Impact factor: 5.958

4.  Indices of obesity derived from body weight and height.

Authors:  T Khosla; C R Lowe
Journal:  Br J Prev Soc Med       Date:  1967-07

5.  Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors.

Authors:  A Bosy-Westphal; C Geisler; S Onur; O Korth; O Selberg; J Schrezenmeir; M J Müller
Journal:  Int J Obes (Lond)       Date:  2006-03       Impact factor: 5.095

6.  Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices.

Authors:  Sai-Yin Ho; Tai-Hing Lam; Edward D Janus
Journal:  Ann Epidemiol       Date:  2003-11       Impact factor: 3.797

Review 7.  Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis.

Authors:  Crystal Man Ying Lee; Rachel R Huxley; Rachel P Wildman; Mark Woodward
Journal:  J Clin Epidemiol       Date:  2008-03-21       Impact factor: 6.437

Review 8.  Childhood predictors of future blood pressure.

Authors:  R M Lauer; T L Burns; W R Clarke; L T Mahoney
Journal:  Hypertension       Date:  1991-09       Impact factor: 10.190

9.  The association of body fat distribution with hypertension, hypertensive heart disease, coronary heart disease, diabetes and cardiovascular risk factors in men and women aged 18-79 years.

Authors:  R F Gillum
Journal:  J Chronic Dis       Date:  1987

10.  Waist Circumference, Body Mass Index, and Other Measures of Adiposity in Predicting Cardiovascular Disease Risk Factors among Peruvian Adults.

Authors:  K M Knowles; L L Paiva; S E Sanchez; L Revilla; T Lopez; M B Yasuda; N D Yanez; B Gelaye; M A Williams
Journal:  Int J Hypertens       Date:  2011-01-24       Impact factor: 2.420

View more
  2 in total

1.  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

2.  Associations between childhood body size, composition, blood pressure and adult cardiac structure: the Fels Longitudinal Study.

Authors:  Roy T Sabo; Miao-Shan Yen; Stephen Daniels; Shumei S Sun
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.