bioelectrical impedance measurement of body composition in obese adolescents

1
ANZOS 2013 abstracts e101 183 Bioelectrical impedance measurement of body composition in obese adolescents Ching S. Wan 1 , Leigh C. Ward 2 , Jocelyn Halim 3 , Megan Gow 3,, Mandy Ho 3 , Sarah P. Garnett 3 1 Department of Nutrition and Dietetics, University of Sydney, Sydney, NSW, Australia 2 Chemical and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia 3 Institute of Endocrinology and Diabetes, The Children’s Hospital Westmead, Westmead, NSW, Australia Background: A stand-on bioelectrical impedance analysis (BIA) system is a safe, non-invasive, rel- atively inexpensive method of measuring body composition. However, little is known about how the body composition parameters measured by BIA relate to those determined by dual-energy X-ray absorptiometry (DXA) in an obese, adolescent pop- ulation. Objectives: To compare body composition meas- ures from the Tanita stand-on BIA (MC-180MA), determined by (a) in-built equations and (b) published and derived equations using raw data (resistance (R) and reactance (Xc)), with body com- position parameters measured by DXA in obese adolescents. Methods: 66 obese adolescents (age: 10—18y, BMI: 22—48 kg/m 2 ) had body composition measured by both BIA (Tanita MC-180MA) and DXA (Lunar Prodigy). Raw data obtained from the BIA, R and Xc at frequencies of 5, 50, 250 and 500 kHz, were used in published bioimpedance spectroscopy [1] and BIA equations [2]. Raw data was also used to generate a new prediction equation for FFM using a double cross-validation method. Results: Compared to DXA, the BIA in-built equa- tions overestimated fat-free mass (FFM) by 4.3 kg [95% limits of agreement 13.9 to 5.3] and under- estimated % body fat (%BF) by 10.8% [11.1 to 35.3]. There were no significant differences in the estimates of body composition parameters deter- mined by published/derived equations using raw data and DXA; the mean differences in FFM and %BF were 0.4—0.9kg and 0.5—0.8%, respectively. However, similar to the BIA in-built equations, all estimates had wide limits of agreement of approx- imately ±7 kg for FFM and ±10% for %BF. Conclusion: The Tanita BIA (MC-180MA) in-built equations cannot be recommended as a measure of body composition in obese adolescents. However, equations using the raw data can be used to mea- sure body composition in groups, but there is the potential for significant error if used for an individ- ual. References [1] Ward. Nutrition 2007;23:657—64. [2] Ramírez. Eur J Clin Nutr 2012, http://dx.doi. org/10.1038/ejcn. 2012.89 . http://dx.doi.org/10.1016/j.orcp.2013.12.682 184 Arterial elasticity in adolescents with insulin resistance and type 1 diabetes Mandy Ho 1,2,, Paul Benitez-Aguirre 1,2 , Kim Donaghue 1,2 , Paul Mitchell 3 , Louise Baur 1,2 , Alicia Jenkins 4,5 , Maria Craig 1,2,6 , Chris Cowell 1,2 , Sarah Garnett 1,2 1 University of Sydney, Sydney, NSW, Australia 2 The Children’s Hospital at Westmead, Sydney, NSW, Australia 3 Centre for Vision Research, Westmead Millennium Institute, Sydney, NSW, Australia 4 St Vincents Hospital, Melbourne, VIC, Australia 5 Faculty of Medicine, Melbourne University, Melbourne, VIC, Australia 6 School of Women and Children’s Health, University of New South Wales, Sydney, NSW, Australia Introduction: Reduced small arterial elasticity (SAE) in adults is associated with increased risk of cardiovascular events. The data relating to the association between arterial elasticity, obesity and glycaemic status in adolescents is limited and conflicting. This study aimed to determine if SAE differed between obese adolescents with clinical insulin resistance (IR), adolescents with type 1 dia- betes (T1D) and healthy non-obese controls. Methods: The IR group (n = 68) were participants of a RCT, RESIST. The T1D group were recruited through the Diabetes Complications Assessment

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Page 1: Bioelectrical impedance measurement of body composition in obese adolescents

ANZOS 2013 abstracts e101

183

Bioelectrical impedancemeasurement of body compositionin obese adolescents

Ching S. Wan 1, Leigh C. Ward 2,Jocelyn Halim 3, Megan Gow 3,∗,Mandy Ho 3, Sarah P. Garnett 3

1 Department of Nutrition andDietetics, University of Sydney,Sydney, NSW, Australia2 Chemical and MolecularBiosciences, University ofQueensland, Brisbane, QLD,Australia3 Institute of Endocrinology andDiabetes, The Children’s HospitalWestmead, Westmead, NSW,Australia

Background: A stand-on bioelectrical impedanceanalysis (BIA) system is a safe, non-invasive, rel-atively inexpensive method of measuring bodycomposition. However, little is known about howthe body composition parameters measured by BIArelate to those determined by dual-energy X-rayabsorptiometry (DXA) in an obese, adolescent pop-ulation.

Objectives: To compare body composition meas-ures from the Tanita stand-on BIA (MC-180MA),determined by (a) in-built equations and (b)published and derived equations using raw data(resistance (R) and reactance (Xc)), with body com-position parameters measured by DXA in obeseadolescents.

Methods: 66 obese adolescents (age: 10—18 y,BMI: 22—48 kg/m2) had body composition measuredby both BIA (Tanita MC-180MA) and DXA (LunarProdigy). Raw data obtained from the BIA, R andXc at frequencies of 5, 50, 250 and 500 kHz, wereused in published bioimpedance spectroscopy [1]and BIA equations [2]. Raw data was also used togenerate a new prediction equation for FFM using adouble cross-validation method.

Results: Compared to DXA, the BIA in-built equa-tions overestimated fat-free mass (FFM) by 4.3 kg[95% limits of agreement −13.9 to 5.3] and under-estimated % body fat (%BF) by 10.8% [−11.1 to35.3]. There were no significant differences in theestimates of body composition parameters deter-mined by published/derived equations using rawdata and DXA; the mean differences in FFM and%BF were 0.4—0.9 kg and 0.5—0.8%, respectively.However, similar to the BIA in-built equations, all

estimates had wide limits of agreement of approx-imately ±7 kg for FFM and ±10% for %BF.

Conclusion: The Tanita BIA (MC-180MA) in-builtequations cannot be recommended as a measure ofbody composition in obese adolescents. However,equations using the raw data can be used to mea-sure body composition in groups, but there is thepotential for significant error if used for an individ-ual.

References

[1] Ward. Nutrition 2007;23:657—64.[2] Ramírez. Eur J Clin Nutr 2012, http://dx.doi.

org/10.1038/ejcn. 2012.89.

http://dx.doi.org/10.1016/j.orcp.2013.12.682

184

Arterial elasticity in adolescentswith insulin resistance and type 1diabetes

Mandy Ho 1,2,∗, PaulBenitez-Aguirre 1,2, Kim Donaghue 1,2,Paul Mitchell 3, Louise Baur 1,2, AliciaJenkins 4,5, Maria Craig 1,2,6, ChrisCowell 1,2, Sarah Garnett 1,2

1 University of Sydney, Sydney, NSW,Australia2 The Children’s Hospital atWestmead, Sydney, NSW, Australia3 Centre for Vision Research,Westmead Millennium Institute,Sydney, NSW, Australia4 St Vincents Hospital, Melbourne,VIC, Australia5 Faculty of Medicine, MelbourneUniversity, Melbourne, VIC, Australia6 School of Women and Children’sHealth, University of New SouthWales, Sydney, NSW, Australia

Introduction: Reduced small arterial elasticity(SAE) in adults is associated with increased riskof cardiovascular events. The data relating tothe association between arterial elasticity, obesityand glycaemic status in adolescents is limited andconflicting. This study aimed to determine if SAEdiffered between obese adolescents with clinicalinsulin resistance (IR), adolescents with type 1 dia-betes (T1D) and healthy non-obese controls.

Methods: The IR group (n = 68) were participantsof a RCT, RESIST. The T1D group were recruitedthrough the Diabetes Complications Assessment