Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography

Rasmus Wibæk Christensen; Pernille Kæstel; R. Skov; Dirk Lund Christensen; Tsinuel Girma; J C K Wells; Henrik Friis; Gregers S Andersen

doi:10.1038/ejcn.2015.51

Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography

Rasmus Wibæk Christensen, Pernille Kæstel, R. Skov, Dirk Lund Christensen, Tsinuel Girma, J C K Wells, Henrik Friis, Gregers S Andersen

Ernæring og Sundhed hos børn og voksne

9 Citationer (Scopus)

Abstract

Background/Objectives:Assessment of infant body composition (BC) is crucial to understand the consequences of suboptimal nutritional status and postnatal growth, and the effects of public health interventions. Bioelectrical impedance analysis (BIA) is a feasible, relatively inexpensive and noninvasive method for assessing BC. However, very little research has been conducted in low-and middle-income populations, where efforts to prevent or treat malnutrition in early life are a public health priority. We aimed to develop equations for predicting fat-free mass (FFM) and fat mass (FM) based on BIA in 0-to 6-month-old Ethiopian infants.Subjects/Methods:The study comprised a total of 186 BC assessments performed in 101 healthy infants, delivered at Jimma University Specialized Hospital. Infant air-displacement plethysmography (IADP) was the criterion method, whereas weight, length, sex, age and an impedance index (L 2/Z 50) were predictors. Prediction equations were developed using stepwise multiple linear regression and the accuracy was evaluated with a 10-fold cross-validation approach.Results:A linear regression model based on body weight, age and sex predicted FFM, estimated by IADP, with an adjusted R 2 and root mean square error (RMSE) of 0.94 and 200 g, respectively. Adding impedance index to the model resulted in a significantly improved model fit (R 2 =0.95; RMSE=181 g). For infants below 3 months of age, inclusion of impedance index did not contribute to an improved model fit for predicting FFM compared with a model already comprising weight, sex and age.Conclusions:The derived equations predicted FFM with acceptable accuracy and may be used in future field surveys, epidemiological studies and clinical trials conducted in similar sub-Saharan African population groups aged 0-6 months.

Originalsprog	Engelsk
Tidsskrift	European Journal of Clinical Nutrition
Vol/bind	69
Udgave nummer	10
Sider (fra-til)	1199-1204
Antal sider	6
ISSN	0954-3007
DOI	https://doi.org/10.1038/ejcn.2015.51
Status	Udgivet - 1 okt. 2015

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Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography. / Wibæk Christensen, Rasmus; Kæstel, Pernille; Skov, R. et al.

I: European Journal of Clinical Nutrition, Bind 69, Nr. 10, 01.10.2015, s. 1199-1204.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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title = "Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography",

abstract = "Background/Objectives:Assessment of infant body composition (BC) is crucial to understand the consequences of suboptimal nutritional status and postnatal growth, and the effects of public health interventions. Bioelectrical impedance analysis (BIA) is a feasible, relatively inexpensive and noninvasive method for assessing BC. However, very little research has been conducted in low-and middle-income populations, where efforts to prevent or treat malnutrition in early life are a public health priority. We aimed to develop equations for predicting fat-free mass (FFM) and fat mass (FM) based on BIA in 0-to 6-month-old Ethiopian infants.Subjects/Methods:The study comprised a total of 186 BC assessments performed in 101 healthy infants, delivered at Jimma University Specialized Hospital. Infant air-displacement plethysmography (IADP) was the criterion method, whereas weight, length, sex, age and an impedance index (L 2/Z 50) were predictors. Prediction equations were developed using stepwise multiple linear regression and the accuracy was evaluated with a 10-fold cross-validation approach.Results:A linear regression model based on body weight, age and sex predicted FFM, estimated by IADP, with an adjusted R 2 and root mean square error (RMSE) of 0.94 and 200 g, respectively. Adding impedance index to the model resulted in a significantly improved model fit (R 2 =0.95; RMSE=181 g). For infants below 3 months of age, inclusion of impedance index did not contribute to an improved model fit for predicting FFM compared with a model already comprising weight, sex and age.Conclusions:The derived equations predicted FFM with acceptable accuracy and may be used in future field surveys, epidemiological studies and clinical trials conducted in similar sub-Saharan African population groups aged 0-6 months.",

author = "{Wib{\ae}k Christensen}, Rasmus and Pernille K{\ae}stel and R. Skov and Christensen, {Dirk Lund} and Tsinuel Girma and Wells, {J C K} and Henrik Friis and Andersen, {Gregers S}",

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AU - Wibæk Christensen, Rasmus

AU - Kæstel, Pernille

AU - Skov, R.

AU - Christensen, Dirk Lund

AU - Girma, Tsinuel

AU - Wells, J C K

AU - Friis, Henrik

AU - Andersen, Gregers S

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N2 - Background/Objectives:Assessment of infant body composition (BC) is crucial to understand the consequences of suboptimal nutritional status and postnatal growth, and the effects of public health interventions. Bioelectrical impedance analysis (BIA) is a feasible, relatively inexpensive and noninvasive method for assessing BC. However, very little research has been conducted in low-and middle-income populations, where efforts to prevent or treat malnutrition in early life are a public health priority. We aimed to develop equations for predicting fat-free mass (FFM) and fat mass (FM) based on BIA in 0-to 6-month-old Ethiopian infants.Subjects/Methods:The study comprised a total of 186 BC assessments performed in 101 healthy infants, delivered at Jimma University Specialized Hospital. Infant air-displacement plethysmography (IADP) was the criterion method, whereas weight, length, sex, age and an impedance index (L 2/Z 50) were predictors. Prediction equations were developed using stepwise multiple linear regression and the accuracy was evaluated with a 10-fold cross-validation approach.Results:A linear regression model based on body weight, age and sex predicted FFM, estimated by IADP, with an adjusted R 2 and root mean square error (RMSE) of 0.94 and 200 g, respectively. Adding impedance index to the model resulted in a significantly improved model fit (R 2 =0.95; RMSE=181 g). For infants below 3 months of age, inclusion of impedance index did not contribute to an improved model fit for predicting FFM compared with a model already comprising weight, sex and age.Conclusions:The derived equations predicted FFM with acceptable accuracy and may be used in future field surveys, epidemiological studies and clinical trials conducted in similar sub-Saharan African population groups aged 0-6 months.

AB - Background/Objectives:Assessment of infant body composition (BC) is crucial to understand the consequences of suboptimal nutritional status and postnatal growth, and the effects of public health interventions. Bioelectrical impedance analysis (BIA) is a feasible, relatively inexpensive and noninvasive method for assessing BC. However, very little research has been conducted in low-and middle-income populations, where efforts to prevent or treat malnutrition in early life are a public health priority. We aimed to develop equations for predicting fat-free mass (FFM) and fat mass (FM) based on BIA in 0-to 6-month-old Ethiopian infants.Subjects/Methods:The study comprised a total of 186 BC assessments performed in 101 healthy infants, delivered at Jimma University Specialized Hospital. Infant air-displacement plethysmography (IADP) was the criterion method, whereas weight, length, sex, age and an impedance index (L 2/Z 50) were predictors. Prediction equations were developed using stepwise multiple linear regression and the accuracy was evaluated with a 10-fold cross-validation approach.Results:A linear regression model based on body weight, age and sex predicted FFM, estimated by IADP, with an adjusted R 2 and root mean square error (RMSE) of 0.94 and 200 g, respectively. Adding impedance index to the model resulted in a significantly improved model fit (R 2 =0.95; RMSE=181 g). For infants below 3 months of age, inclusion of impedance index did not contribute to an improved model fit for predicting FFM compared with a model already comprising weight, sex and age.Conclusions:The derived equations predicted FFM with acceptable accuracy and may be used in future field surveys, epidemiological studies and clinical trials conducted in similar sub-Saharan African population groups aged 0-6 months.

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EP - 1204

JO - European Journal of Clinical Nutrition

JF - European Journal of Clinical Nutrition

IS - 10

ER -

Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography

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