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The association between objectively measured sitting and standing with body composition: a pilot study using MRI.
L Smith1, E L Thomas2, J D Bell2
1Department of Epidemiology and Public Health, University College London, London, UK.
Objectively measured sitting and standing correlate with body composition, including liver fat and abdominal fat distribution. This pilot study suggests links between sedentary behavior and increased adiposity.
Area of Science:
- Human Physiology
- Body Composition Analysis
- Occupational Health
Background:
- Sedentary behavior is a growing public health concern.
- Understanding the relationship between posture and body composition is crucial for targeted interventions.
- Previous research often relies on self-reported activity levels, which can be inaccurate.
Purpose of the Study:
- To investigate the association between objectively measured sitting and standing behaviors and body composition.
- To explore relationships with magnetic resonance imaging (MRI)-assessed body fat metrics.
Main Methods:
- Cross-sectional pilot study involving 12 normal-weight Caucasian women with desk-bound occupations.
- Objective measurement of sitting, standing, and step count.
- MRI assessment of total adiposity, liver adiposity, and visceral/subcutaneous fat ratio.
Main Results:
- Significant positive correlations found between average daily sitting time and liver adiposity (r=0.66) and visceral/subcutaneous abdominal fat ratio (r=0.64).
- Standing to sitting ratio showed moderate negative correlations with liver adiposity (r=-0.53) and visceral/subcutaneous abdominal fat ratio (r=-0.45).
- Average daily step count was moderately negatively correlated with liver adiposity (r=-0.45), total adiposity (r=-0.46), and visceral/subcutaneous abdominal fat ratio (r=-0.51).
Conclusions:
- Preliminary evidence suggests relationships between objectively measured sitting and standing and precise body composition measures.
- Findings highlight the potential impact of postural allocation on adiposity.
- Further research with larger cohorts is warranted to confirm these associations.
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