Zara A Ioannides1,2,3, Frederik J Steyn1,2,4, Robert D Henderson2,3, Pamela A Mccombe1,2,3, Shyuan T Ngo1,2,4,5. 1. a The University of Queensland Centre for Clinical Research, The University of Queensland , Herston , Australia. 2. b Department of Neurology , Royal Brisbane & Women's Hospital , Herston , Australia. 3. c School of Medicine, The University of Queensland , Herston , Australia. 4. d School of Biomedical Sciences, The University of Queensland , St Lucia , Australia , and. 5. e Queensland Brain Institute, The University of Queensland , St Lucia , Australia.
Abstract
BACKGROUND: Anthropometric measurements including body mass index (BMI) and body adiposity index (BAI) are widely employed as indicators of fat mass (FM). Metabolic abnormalities in amyotrophic lateral sclerosis (ALS) impact disease progression, therefore assessment of FM informs care. The aim of this study was to determine whether BMI and BAI are accurate predictors of FM in ALS. Methodology and main findings: BMI, BAI and percentage FM (determined by air displacement plethysmography; FM-ADP) were measured in control (n = 35) and ALS (n = 44) participants. While BMI and BAI correlated significantly with FM-ADP, neither index provided an accurate estimate of FM. In longitudinally assessed ALS participants (n = 29; ∼six-month repeat assessment interval), although a change in BMI (r2 = 0.62 r = 0.79 p < 0.01) and BAI (r2 = 0.20 r = 0.44, p = 0.02) correlated with a change in FM-ADP, the anthropometric measures did not consistently reflect increases or decreases observed in FM-ADP. CONCLUSIONS/SIGNIFICANCE: Using FM-ADP as the standard, this study suggests that BMI and BAI are not accurate measures of FM in ALS. Furthermore, longitudinal assessments indicate that changes in BMI and BAI do not consistently reflect true changes of FM in ALS.
BACKGROUND: Anthropometric measurements including body mass index (BMI) and body adiposity index (BAI) are widely employed as indicators of fat mass (FM). Metabolic abnormalities in amyotrophic lateral sclerosis (ALS) impact disease progression, therefore assessment of FM informs care. The aim of this study was to determine whether BMI and BAI are accurate predictors of FM in ALS. Methodology and main findings: BMI, BAI and percentage FM (determined by air displacement plethysmography; FM-ADP) were measured in control (n = 35) and ALS (n = 44) participants. While BMI and BAI correlated significantly with FM-ADP, neither index provided an accurate estimate of FM. In longitudinally assessed ALS participants (n = 29; ∼six-month repeat assessment interval), although a change in BMI (r2 = 0.62 r = 0.79 p < 0.01) and BAI (r2 = 0.20 r = 0.44, p = 0.02) correlated with a change in FM-ADP, the anthropometric measures did not consistently reflect increases or decreases observed in FM-ADP. CONCLUSIONS/SIGNIFICANCE: Using FM-ADP as the standard, this study suggests that BMI and BAI are not accurate measures of FM in ALS. Furthermore, longitudinal assessments indicate that changes in BMI and BAI do not consistently reflect true changes of FM in ALS.
Entities:
Keywords:
Amyotrophic Lateral Sclerosis; adiposity; air displacement plethysmography; body adiposity index; body mass index; fat mass; metabolic assessment
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