Tracking changes in body composition: comparison of methods and influence of pre-assessment standardisation. Issue 11 (14th June 2022)

• Record Type: Journal Article
• Authors: Tinsley, Grant M.; Harty, Patrick S.; Stratton, Matthew T.; Smith, Robert W.; Rodriguez, Christian; Siedler, Madelin R.
• Is Part Of: British journal of nutrition. Volume 127:Issue 11(2022)
• Page Start: 1656
• Page End: 1674
• Publication Date: 2022-06-14
• Subjects: Fat-free mass -- Fat mass -- Body fat -- Dual-energy X-ray absorptiometry -- 3D scanning -- Bioimpedance -- Four-compartment model; Nutrition -- Periodicals; 572.4
• DOI: 10.1017/S0007114521002579
• Languages: English
• ISSNs: 0007-1145

Abstract

Abstract: The present study reports the validity of multiple assessment methods for tracking changes in body composition over time and quantifies the influence of unstandardised pre-assessment procedures. Resistance-trained males underwent 6 weeks of structured resistance training alongside a hyperenergetic diet, with four total body composition evaluations. Pre-intervention, body composition was estimated in standardised (i.e. overnight fasted and rested) and unstandardised (i.e. no control over pre-assessment activities) conditions within a single day. The same assessments were repeated post-intervention, and body composition changes were estimated from all possible combinations of pre-intervention and post-intervention data. Assessment methods included dual-energy X-ray absorptiometry (DXA), air displacement plethysmography, three-dimensional optical imaging, single- and multi-frequency bioelectrical impedance analysis, bioimpedance spectroscopy and multi-component models. Data were analysed using equivalence testing, Bland–Altman analysis, Friedman tests and validity metrics. Most methods demonstrated meaningful errors when unstandardised conditions were present pre- and/or post-intervention, resulting in blunted or exaggerated changes relative to true body composition changes. However, some methods – particularly DXA and select digital anthropometry techniques – were more robust to a lack of standardisation. In standardised conditions, methods exhibiting the highest overall agreement with the four-component model were other multi-component models, select bioimpedance technologies, DXA and select digital anthropometry techniques. Although specific methods varied, the present study broadly demonstrates the importance of controlling and documenting standardisation procedures prior to body composition assessments across distinct assessment technologies, particularly for longitudinal investigations. Additionally, there are meaningful differences in the ability of common methods to track longitudinal body composition changes.