Comparison of direct measures of adiposity with indirect measures for assessing cardiometabolic risk factors in preadolescent girls
Bea, Jennifer W.
Lee, Vinson R.
Blew, Robert M.
Lohman, Timothy G.
Going, Scott B.
AffiliationUniv Arizona, Dept Nutr Sci
Univ Arizona, Dept Med
Univ Arizona, Ctr Canc
Univ Arizona, Dept Physiol
Univ Arizona, Coll Agr & Life Sci, Dept Nutr Sci
MetadataShow full item record
PublisherBIOMED CENTRAL LTD
CitationComparison of direct measures of adiposity with indirect measures for assessing cardiometabolic risk factors in preadolescent girls 2017, 16 (1) Nutrition Journal
Rights© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractBackground: Childhood overweight and obesity remains high, contributing to cardiometabolic risk factors at younger ages. It is unclear which measures of adiposity serve as the best proxies for identifying children at metabolic risk. This study assessed whether DXA-derived direct measures of adiposity are more strongly related to cardiometabolic risk factors in children than indirect measures. Methods: Anthropometric and DXA measures of adiposity and a comprehensive assessment of cardiometabolic risk factors were obtained in 288, 9-12 year old girls, most being of Hispanic ethnicity. Multiple regression models for each metabolic parameter were run against each adiposity measure while controlling for maturation and ethnicity. In addition, regression models including both indirect and direct measures were developed to assess whether using direct measures of adiposity could provide a better prediction of the cardiometabolic risk factors beyond that of using indirect measures alone. Results: Measures of adiposity were significantly correlated with cardiometabolic risk factors (p < 0.05) except fasting glucose. After adjusting for maturation and ethnicity, indirect measures of adiposity accounted for 29-34% in HOMA-IR, 10-13% in TG, 14-17% in HDL-C, and 5-8% in LDL-C while direct measures accounted for 29-34% in HOMA-IR, 10-12% in TG, 13-16% in HDL-C, and 5-6% in LDL-C. The addition of direct measures of adiposity to indirect measures added significantly to the variance explained for HOMA-IR (p = 0.04). Conclusion: Anthropometric measures may perform as well as the more precise direct DXA-derived measures of adiposity for assessing most CVD risk factors in preadolescent girls. The use of DXA-derived adiposity measures together with indirect measures may be advantageous for predicting insulin resistance risk.
VersionFinal published version
SponsorsNational Institute of Child Health and Human Development [HD074565]
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