Abstract
Background: The accuracy of body composition estimates based on skinfold thickness measurements and bioelectrical impedance analysis (BIA) is not yet adequately explored in cystic fibrosis (CF). Using DXA as reference method we verified the accuracy of these techniques and identified predictors of body composition specific for CF. Methods: One hundred forty-two CF patients (age range: 8-31. years) underwent a DXA scan. Body fat percentage (BF%) was estimated from skinfolds, while fat free mass (FFM) from single-frequency 50. kHz BIA. Results: Bland-Altman analysis showed poor intra-individual agreement between body composition data provided by DXA and BF% estimated from skinfolds or FFM estimated from BIA. The skinfolds of the upper arm were better predictors of BF% than BMI, while compared to other BIA measurements the best predictor of FFM was the R-index (Height2/Resistance). Conclusions: Due to poor accuracy at individual level, the estimates of body composition obtained from these techniques cannot be part of the standard nutritional assessment of CF patients until reliable CF-specific equations will become available. BMI has limited value in predicting body fatness in CF patients and should be used in combination with other predictors. Skinfolds of the upper arm and R-index are strongly related to BF% and FFM and should be tested in a large CF population to develop specific predictive equations.
| Original language | English |
|---|---|
| Pages (from-to) | 784-791 |
| Number of pages | 8 |
| Journal | Journal of Cystic Fibrosis |
| Volume | 14 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 1 2015 |
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Keywords
- Bioelectrical impedance analysis
- Body composition
- Cystic fibrosis
- DXA
- Skinfold thicknesses
ASJC Scopus subject areas
- Pulmonary and Respiratory Medicine
- Pediatrics, Perinatology, and Child Health
Cite this
Estimating body composition from skinfold thicknesses and bioelectrical impedance analysis in cystic fibrosis patients. / Alicandro, Gianfranco; Battezzati, Alberto; Bianchi, Maria Luisa; Loi, Silvana; Speziali, Chiara; Bisogno, Arianna; Colombo, Carla.
In: Journal of Cystic Fibrosis, Vol. 14, No. 6, 01.11.2015, p. 784-791.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Estimating body composition from skinfold thicknesses and bioelectrical impedance analysis in cystic fibrosis patients
AU - Alicandro, Gianfranco
AU - Battezzati, Alberto
AU - Bianchi, Maria Luisa
AU - Loi, Silvana
AU - Speziali, Chiara
AU - Bisogno, Arianna
AU - Colombo, Carla
PY - 2015/11/1
Y1 - 2015/11/1
N2 - Background: The accuracy of body composition estimates based on skinfold thickness measurements and bioelectrical impedance analysis (BIA) is not yet adequately explored in cystic fibrosis (CF). Using DXA as reference method we verified the accuracy of these techniques and identified predictors of body composition specific for CF. Methods: One hundred forty-two CF patients (age range: 8-31. years) underwent a DXA scan. Body fat percentage (BF%) was estimated from skinfolds, while fat free mass (FFM) from single-frequency 50. kHz BIA. Results: Bland-Altman analysis showed poor intra-individual agreement between body composition data provided by DXA and BF% estimated from skinfolds or FFM estimated from BIA. The skinfolds of the upper arm were better predictors of BF% than BMI, while compared to other BIA measurements the best predictor of FFM was the R-index (Height2/Resistance). Conclusions: Due to poor accuracy at individual level, the estimates of body composition obtained from these techniques cannot be part of the standard nutritional assessment of CF patients until reliable CF-specific equations will become available. BMI has limited value in predicting body fatness in CF patients and should be used in combination with other predictors. Skinfolds of the upper arm and R-index are strongly related to BF% and FFM and should be tested in a large CF population to develop specific predictive equations.
AB - Background: The accuracy of body composition estimates based on skinfold thickness measurements and bioelectrical impedance analysis (BIA) is not yet adequately explored in cystic fibrosis (CF). Using DXA as reference method we verified the accuracy of these techniques and identified predictors of body composition specific for CF. Methods: One hundred forty-two CF patients (age range: 8-31. years) underwent a DXA scan. Body fat percentage (BF%) was estimated from skinfolds, while fat free mass (FFM) from single-frequency 50. kHz BIA. Results: Bland-Altman analysis showed poor intra-individual agreement between body composition data provided by DXA and BF% estimated from skinfolds or FFM estimated from BIA. The skinfolds of the upper arm were better predictors of BF% than BMI, while compared to other BIA measurements the best predictor of FFM was the R-index (Height2/Resistance). Conclusions: Due to poor accuracy at individual level, the estimates of body composition obtained from these techniques cannot be part of the standard nutritional assessment of CF patients until reliable CF-specific equations will become available. BMI has limited value in predicting body fatness in CF patients and should be used in combination with other predictors. Skinfolds of the upper arm and R-index are strongly related to BF% and FFM and should be tested in a large CF population to develop specific predictive equations.
KW - Bioelectrical impedance analysis
KW - Body composition
KW - Cystic fibrosis
KW - DXA
KW - Skinfold thicknesses
UR - http://www.scopus.com/inward/record.url?scp=84946490649&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946490649&partnerID=8YFLogxK
U2 - 10.1016/j.jcf.2015.07.011
DO - 10.1016/j.jcf.2015.07.011
M3 - Article
VL - 14
SP - 784
EP - 791
JO - Journal of Cystic Fibrosis
JF - Journal of Cystic Fibrosis
SN - 1569-1993
IS - 6
ER -