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Impedance index or standard anthropometric measurements, which is the better variable for predicting fat-free mass in sick children?
Acta Paediatr. 2007 Jun; 96(6):869-73.AP

Abstract

AIM

To compare the predictive value of impedance index (ZI, height2/impedance) with anthropometric measurements for estimating fat-free mass (FFM).

METHODS

FFM of 120 white paediatric children (46 males, 74 females), aged 2.5-18 years was measured by using dual energy X-ray absorptiometry. Weight, height, mid-upper arm circumference (MUAC), skinfold thickness (biceps, triceps, subscapular and suprailiac) and bioelectrical impedance were also obtained. Stepwise multiple regression analysis and residual plots were performed to determine the most significant variables to predict FFM.

RESULTS

The single best predictor of FFM was ZI, which explained 96.2% of the variance in FFM (r = 0.981, SEE = 2.15 kg). Addition of weight to the model containing ZI increased the explained variance of FFM to 96.6% (r = 0.983, SEE = 2.03 kg). BMI and MUAC were the poorest predictors of FFM: r = 0.422, SEE = 10.2 kg and r = 0.621, SEE = 8.93 kg, respectively.

CONCLUSION

Impedance index is a more significant single predictor of FFM than other anthropometric measurements. The predictive accuracy of bioelectrical impedance analysis-based prediction equations for FFM was improved by addition of weight.

Authors+Show Affiliations

Department of Neonatology and Pediatric Intensive Care, University Children's Hospital, Greifswald, Germany.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17537015

Citation

Nguyen, Quang Dung, et al. "Impedance Index or Standard Anthropometric Measurements, Which Is the Better Variable for Predicting Fat-free Mass in Sick Children?" Acta Paediatrica (Oslo, Norway : 1992), vol. 96, no. 6, 2007, pp. 869-73.
Nguyen QD, Fusch G, Armbrust S, et al. Impedance index or standard anthropometric measurements, which is the better variable for predicting fat-free mass in sick children? Acta Paediatr. 2007;96(6):869-73.
Nguyen, Q. D., Fusch, G., Armbrust, S., Jochum, F., & Fusch, C. (2007). Impedance index or standard anthropometric measurements, which is the better variable for predicting fat-free mass in sick children? Acta Paediatrica (Oslo, Norway : 1992), 96(6), 869-73.
Nguyen QD, et al. Impedance Index or Standard Anthropometric Measurements, Which Is the Better Variable for Predicting Fat-free Mass in Sick Children. Acta Paediatr. 2007;96(6):869-73. PubMed PMID: 17537015.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Impedance index or standard anthropometric measurements, which is the better variable for predicting fat-free mass in sick children? AU - Nguyen,Quang Dung, AU - Fusch,Gerhard, AU - Armbrust,Sven, AU - Jochum,Frank, AU - Fusch,Christoph, PY - 2007/6/1/pubmed PY - 2007/8/19/medline PY - 2007/6/1/entrez SP - 869 EP - 73 JF - Acta paediatrica (Oslo, Norway : 1992) JO - Acta Paediatr VL - 96 IS - 6 N2 - AIM: To compare the predictive value of impedance index (ZI, height2/impedance) with anthropometric measurements for estimating fat-free mass (FFM). METHODS: FFM of 120 white paediatric children (46 males, 74 females), aged 2.5-18 years was measured by using dual energy X-ray absorptiometry. Weight, height, mid-upper arm circumference (MUAC), skinfold thickness (biceps, triceps, subscapular and suprailiac) and bioelectrical impedance were also obtained. Stepwise multiple regression analysis and residual plots were performed to determine the most significant variables to predict FFM. RESULTS: The single best predictor of FFM was ZI, which explained 96.2% of the variance in FFM (r = 0.981, SEE = 2.15 kg). Addition of weight to the model containing ZI increased the explained variance of FFM to 96.6% (r = 0.983, SEE = 2.03 kg). BMI and MUAC were the poorest predictors of FFM: r = 0.422, SEE = 10.2 kg and r = 0.621, SEE = 8.93 kg, respectively. CONCLUSION: Impedance index is a more significant single predictor of FFM than other anthropometric measurements. The predictive accuracy of bioelectrical impedance analysis-based prediction equations for FFM was improved by addition of weight. SN - 0803-5253 UR - https://www.unboundmedicine.com/medline/citation/17537015/Impedance_index_or_standard_anthropometric_measurements_which_is_the_better_variable_for_predicting_fat_free_mass_in_sick_children L2 - https://doi.org/10.1111/j.1651-2227.2007.00272.x DB - PRIME DP - Unbound Medicine ER -