Cited by 224Obesity, Physical Activity, DietDiabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement Techniques

LMS tables for waist-circumference and waist-height ratio Z-scores in children aged 5–19 y in NHANES III: association with cardio-metabolic risks

Sharma, Atul K., Metzger, Daniel L., Daymont, Carrie, Hadjiyannakis, Stasia, Rodd, Celia J.·2015·Pediatric Research

Abstract

Background In adults, anthropometric measures of central adiposity, such as waist-height ratio (WHtR) and waist circumference (WC), are more strongly associated with cardio-metabolic risks than BMI. Methods To provide similar quantitative tools for North American children, we created smoothed centile charts and LMS tables for WHtR and WC based on data from the US National Health and Nutrition Survey, cycle III (NHANES III, N = 11,930 aged 2-24 y 1988-1994). Results Applying these reference charts to subsequent NHANES survey cycles, 1999-2012) demonstrated a significant mean increase in both Z-scores of approximately 0.30 SD. In measuring the strength of the association between anthropometric measures and cardio-metabolic risk factors, a unit change in Z-scores for WHtR, WC, and BMI significantly increased the odds of an adverse outcome in all cases (1.18-2.03, P < 0.0001). Z-scores for both measures of central adiposity were significantly more strongly associated with cardio-metabolic comorbidities than BMI-Z. Conclusion Since Z-scores permit standardized comparisons across ages and genders, they are useful measures of central adiposity in both clinical or research settings. By providing LMS tables for children and adolescents based on North American reference data, we hope to provide quantitative tools for the study of obesity and its complications.

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Crossref · 10.1038/pr.2015.160

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  • International studies have shown that the WHtR cutoff of 0.5 is not applicable to children or adolescents, and that it would be better to use WHtR percentiles specific for age and sex.

    “International studies have also shown that the WHtR cutoff of 0.5, which is mainly used in adults, is not applicable to children or adolescents, who are still growing, and that it would be better to use WHtR percentiles that are specific for age and sex.16,32”
  • Because children and adolescents continue to grow physically, the normal values of WC and WHtR differ according to sex and age, necessitating sex- and age-specific reference values.

    “Because children and adolescents continue to grow physically, the normal values of WC and WHtR differ according to sex and age, necessitating sex- and age-specific reference values.16,17”

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Authors
Sharma, A. K., Metzger, D. L., Daymont, C., Hadjiyannakis, S., & Rodd, C. J.
Affiliations
  • Children's Hospital Research Institute of Manitoba (CA)
  • University of British Columbia (CA)
  • University of Ottawa (CA)
Corresponding author
Rodd, Celia J.
Venue
Pediatric Research
Published
2015-09-02
Volume
78
Issue
6
Pages
723-729
ISSN
  • 0031-3998 (ISSN-L)
  • 1530-0447
OpenAlex
W1231133338
Cited by
224
References
1
Citations by year
2026: 22 · 2025: 23 · 2024: 26 · 2023: 38 · 2022: 29 · 2021: 9 · 2020: 19 · 2019: 25 · 2018: 17 · 2017: 9 · 2016: 6
FWCI
11.44
Type
journal article
Language
en
Open access
closed
Locations
  • Pediatric Research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
Keywords
waist circumference, waist-to-height ratio, abdominal obesity, centile charts, Z-score, cardiometabolic risk, childhood obesity, adolescents, anthropometric reference values, NHANES III, obesity-related comorbidities
MeSH terms
Adolescent, Age Factors, Anthropometry, Body Height, Child, Child, Preschool, Female, Humans, Male, Nutrition Surveys, Predictive Value of Tests, Reference Values, Risk Factors, United States, Body Mass Index, Linear Models, Logistic Models, Odds Ratio, Metabolic Syndrome, Adiposity, Waist Circumference, Young Adult, Pediatric Obesity

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