Application of BIVA in institutionalized psychogeriatric patients allows for easier, faster, and more effective detection of changes in body composition and hydration status compared with conventional methods, enabling individualized monitoring and facilitating interventions.
Key Findings
Results
Classic BIVA differentiated patients with sarcopenia and sarcopenic obesity from reference healthy older adults.
The study was conducted in 95 institutionalized older adults (52 men, 43 women; mean age: 80 years).
Mean impedance vectors and 95% confidence ellipses were generated for BIVA and BIVA-Sp and compared with reference data from healthy older adults.
Classic BIVA showed vector shifts consistent with altered hydration and muscle mass in sarcopenic and sarcopenic obese patients.
Statistical analyses compared clinical variables and impedance vector distributions between diagnostic groups.
Results
BIVA-Sp identified vector shifts associated with adiposity and sarcopenic obesity.
Specific BIVA (BIVA-Sp) does not require predictive models or assumptions about hydration status.
BIVA-Sp detected BC changes related to adiposity and sarcopenic obesity using the SOGLI criteria for sarcopenic obesity diagnosis.
Individual vectors were compared with reference data from healthy older adults to identify pathological shifts.
BIVA-Sp provided differentiation for adiposity-related conditions that classic BIVA did not fully capture.
Results
Neither BIVA nor BIVA-Sp discriminated patients based on body mass index or malnutrition status.
Malnutrition was diagnosed using the GLIM criteria.
Despite detecting sarcopenia and adiposity-related conditions, vector analysis failed to separate patients by BMI category.
The inability to discriminate by malnutrition status suggests limitations of BIA vector approaches for detecting malnutrition as defined by GLIM in this population.
This finding highlights a potential gap in the utility of BIVA for identifying malnutrition specifically in institutionalized psychogeriatric patients.
Methods
The study population consisted of institutionalized psychogeriatric older adults with cognitive and functional decline, making conventional nutritional assessment difficult.
Sample included 95 institutionalized older adults (52 men, 43 women) with a mean age of 80 years.
Clinical and functional data collected included frailty, dependency, handgrip strength, and anthropometry.
Nutritional diagnoses assessed included malnutrition (GLIM criteria), sarcopenia (EWGSOP2), adiposity, and sarcopenic obesity (SOGLI criteria).
Institutionalized older adults often experience cognitive and functional decline and altered body composition, complicating standard nutritional assessment.
Methods
BIA, classic BIVA, and specific BIVA were evaluated as non-invasive methods for assessing body composition without requiring predictive models or hydration status assumptions.
BIA offers a simple and non-invasive method to evaluate body composition.
Classic and specific BIVA do not require predictive models or assumptions about hydration status, making them advantageous for use in psychogeriatric populations.
The cross-sectional study design was used to evaluate the utility of these methods.
Mean impedance vectors and 95% confidence ellipses were generated and compared against reference data from healthy older adults.
de Mateo Silleras B, Barrera Ortega S, Carreño Enciso L, Gallego Herreros G, de la Cruz Marcos S, Redondo Del Río P. (2025). Role of Bioelectrical Impedance Analysis in Detecting Nutritional Disorders in Institutionalized Psychogeriatric Patients.. Nutrients. https://doi.org/10.3390/nu17243839