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Relationships between age, sex, anthropometry and bioelectrical impedance
1Department of Internal Medicine, National Cheng Kung University Hospital, Tainan, Taiwan, R.O.C.
Journal of the Formosan Medical Association = Taiwan Yi Zhi
|December 1, 1992
Summary
Gender and age significantly influence bioelectrical impedance measurements. Anthropometric factors correlate with bioelectrical resistance, while age impacts bioelectrical reactance and phase angle in healthy adults.
Area of Science:
- Human physiology
- Biomedical engineering
- Body composition analysis
Background:
- Bioelectrical impedance analysis (BIA) is a non-invasive method to assess body composition.
- Understanding factors influencing BIA measurements is crucial for accurate interpretation.
- Age and sex are known demographic factors that can affect physiological parameters.
Purpose of the Study:
- To investigate the relationships between age, sex, anthropometric measurements, and bioelectrical impedance parameters.
- To determine how demographic and anthropometric factors influence bioelectrical resistance, reactance, and phase angle.
Main Methods:
- A cross-sectional study involving 446 healthy subjects (242 men, 204 women) aged 17 to 88 years.
- Measurements included anthropometric parameters (weight, height, BMI, TSF, AMC) and bioelectrical impedance (resistance, reactance, phase angle) using the BIA-106.
- Statistical analysis included correlation and quartile analysis.
Main Results:
- Significant correlations were found between gender, anthropometry, and bioelectrical resistance.
- Significant correlations were observed between age, anthropometry, and bioelectrical reactance.
- Subjects in the oldest quartile exhibited significantly lower reactance and phase angle.
- Body Mass Index (BMI) quartiles showed corresponding changes in weight, BMI, TSF, AMC, and resistance, but not reactance.
Conclusions:
- Gender significantly influences bioelectrical resistance, independent of anthropometry.
- Age significantly affects bioelectrical reactance and phase angle.
- These findings highlight the importance of considering age and gender in BIA assessments for accurate body composition analysis.