Key result
Body fat percentage significantly explained the variability in ECG ventricular activity parameters for corrected QT intervals in healthy young adults (p < 0.001).
Why the study?
The study aimed to determine the correlation between body composition parameters and electrocardiographic ventricular parameters in young adults.
Does body composition correlate with electrocardiographic ventricular parameters in healthy young adults?
Cross-Sectional (n=50)
Does body composition correlate with electrocardiographic ventricular parameters in healthy young adults?
p-value: p=<0.001
Body fat percentage significantly influences ventricular electrical activity in healthy young adults, suggesting that body composition should be factored into the clinical interpretation of electrocardiograms.
Body fat percentage was associated with QTc variability in young adults; cross-sectional data leave open clinical relevance for ECG interpretation.
This study aimed to determine the correlation between body composition (measured as weight, body mass index, and body fat percentage (BFP)) and electrocardiographic ventricular parameters (the QT and TQ intervals and the ratios between the electrical diastole and electrical systole (TQ/QT) and between the cardiac cycle and electrical diastole (RR/TQ), both for uncorrected and corrected intervals) in a sample of 50 healthy subjects (age interval 19–23 years, mean age 21.27 ± 1.41 years, 33 women and 17 men). Subjects’ measurements were performed with a bioimpedancemetry body composition analyzer and a portable ECG monitor with six leads. Starting from the correlations obtained between the investigated continuous variables, we performed a standard linear regression analysis between the body composition parameters and the ECG ones. Our results revealed that some of our regression models are statistically significant (p < 0.001). Thus, a specific part of the variability of the dependent variables (ECG ventricular activity parameters for corrected QT intervals) is explained by the independent variable BFP. Therefore, body composition influences ventricular electrical activity in young adults, which implies a differentiated interpretation of the electrocardiogram in these situations.
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Iconaru et al. (2022) conducted a cross-sectional in Healthy subjects (n=50). Body composition (weight, BMI, body fat percentage) was evaluated on Correlation between body composition and electrocardiographic ventricular parameters (QT, TQ, TQ/QT, RR/TQ) (p=<0.001). Body fat percentage significantly explained the variability in ECG ventricular activity parameters for corrected QT intervals in healthy young adults (p < 0.001).
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