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Comparison of direct measures of adiposity with indirect measures for assessing cardiometabolic risk factors in preadolescent girls.
Nutr J. 2017 02 23; 16(1):15.NJ

Abstract

BACKGROUND

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.

TRIAL REGISTRATION

NCT02654262 . Retrospectively registered 11 January 2016.

Authors+Show Affiliations

Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85721, USA. mchr@email.arizona.edu. College of Agriculture and Life Sciences, Department of Nutritional Sciences, University of Arizona, Shantz Building, PO Box 210038, 1177 E. 4th Street, Tucson, AZ, 85721-0034, USA. mchr@email.arizona.edu.Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85721, USA. Departments of Medicine, University of Arizona, Tucson, AZ, 85721, USA. University of Arizona Cancer Center, Tucson, AZ, 85724, USA.Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85721, USA.Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85721, USA.Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85721, USA. Departments of Medicine, University of Arizona, Tucson, AZ, 85721, USA.Department of Physiology, University of Arizona, Tucson, AZ, 85721, USA.Department of Nutritional Sciences, University of Arizona, Tucson, AZ, 85721, USA.

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

28231807

Citation

Hetherington-Rauth, Megan, et al. "Comparison of Direct Measures of Adiposity With Indirect Measures for Assessing Cardiometabolic Risk Factors in Preadolescent Girls." Nutrition Journal, vol. 16, no. 1, 2017, p. 15.
Hetherington-Rauth M, Bea JW, Lee VR, et al. Comparison of direct measures of adiposity with indirect measures for assessing cardiometabolic risk factors in preadolescent girls. Nutr J. 2017;16(1):15.
Hetherington-Rauth, M., Bea, J. W., Lee, V. R., Blew, R. M., Funk, J., Lohman, T. G., & Going, S. B. (2017). Comparison of direct measures of adiposity with indirect measures for assessing cardiometabolic risk factors in preadolescent girls. Nutrition Journal, 16(1), 15. https://doi.org/10.1186/s12937-017-0236-7
Hetherington-Rauth M, et al. Comparison of Direct Measures of Adiposity With Indirect Measures for Assessing Cardiometabolic Risk Factors in Preadolescent Girls. Nutr J. 2017 02 23;16(1):15. PubMed PMID: 28231807.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparison of direct measures of adiposity with indirect measures for assessing cardiometabolic risk factors in preadolescent girls. AU - Hetherington-Rauth,Megan, AU - Bea,Jennifer W, AU - Lee,Vinson R, AU - Blew,Robert M, AU - Funk,Janet, AU - Lohman,Timothy G, AU - Going,Scott B, Y1 - 2017/02/23/ PY - 2016/11/01/received PY - 2017/02/13/accepted PY - 2017/2/25/entrez PY - 2017/2/25/pubmed PY - 2017/10/19/medline KW - Body composition KW - Cardiovascular disease KW - Girls SP - 15 EP - 15 JF - Nutrition journal JO - Nutr J VL - 16 IS - 1 N2 - BACKGROUND: 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. TRIAL REGISTRATION: NCT02654262 . Retrospectively registered 11 January 2016. SN - 1475-2891 UR - https://www.unboundmedicine.com/medline/citation/28231807/Comparison_of_direct_measures_of_adiposity_with_indirect_measures_for_assessing_cardiometabolic_risk_factors_in_preadolescent_girls_ L2 - https://nutritionj.biomedcentral.com/articles/10.1186/s12937-017-0236-7 DB - PRIME DP - Unbound Medicine ER -