Bioelectrical Impedance Vector Analysis (BIVA) for the monitoring of body composition in pregnancy.
Alessia MoroniC VardèAmbra GiustettoSilvia StagiElisabetta MariniMargherita Micheletti CremascoPublished in: European journal of clinical nutrition (2021)
Classic and specific BIVA variables have been measured in a sample of 37 pregnant women approximately every 4 weeks of gestation and once postpartum. Researchers used both longitudinal and cross-sectional approach. The first case included data of women from the 11th to the 15th week along with data from the 28th to the 32nd week of gestation. The cross-sectional approach regarded two more specific moments (11th-12th weeks and 30th-31st weeks) and data within two months postpartum RESULTS: The longitudinal approach showed a significant decrease in classic BIVA variables (R/H, Xc/H, Z/H p < 0.001) and a shortening of the vector, pointing out that TBW and hydration increased significantly. Specific vector length increased significantly, indicating a physiological gain of FM% (p < 0.01). The cross-sectional approach showed lower values of R/H, Xc/H, Z/H between 12th-13th and 30th-31st weeks (p < 0.01), while in the postpartum period values tended to those registered at the beginning of pregnancy. No changes have been found for the phase angle in both approaches, indicating that ECW/ICW ratio remained constant CONCLUSIONS: Among physiological pregnancies, bioelectric values showed a coherent trend and these results represent a first contribution to support routine exams, leading to an early detection of anomalous values potentially correlated to pathologies.
Keyphrases
- cross sectional
- body composition
- gestational age
- preterm birth
- pregnancy outcomes
- pregnant women
- electronic health record
- resistance training
- big data
- preterm infants
- randomized controlled trial
- mass spectrometry
- clinical trial
- data analysis
- high resolution
- metabolic syndrome
- artificial intelligence
- machine learning
- study protocol
- deep learning
- high intensity