title: Specific bioelectrical impedance vector analysis (BIVA) is more accurate than classic BIVA to detect changes in body composition and in nutritional status in institutionalised elderly with dementia.
abstract: BACKGROUND
  A new analytical variation of bioelectrical impedance vector analysis (BIVA), called specific BIVA, has shown to be more accurate in detecting changes in fat mass than classic BIVA.
  
  
  OBJECTIVE
  To compare classic and specific BIVA in order to identify which is more strongly associated with psycho-functional and nutritional indicators in a group of institutionalised elderly patients with dementia.
  
  
  METHODS
  Cross-sectional study. Fifty-four patients (34 women, 20 men) with dementia in moderately severe to very severe stages and aged 60-95years underwent geriatric nutritional assessment, including body mass index calculations, the Mini Nutritional Assessment, the Geriatric Nutritional Risk Index, and whole body composition analysis.
  
  
  RESULTS
  With specific BIVA (unlike with classic BIVA), significant differences were found between women with moderately severe and very severe dementia. In the BIVA conducted for body mass index, the confidence ellipses produced with the classic BIVA approach were highly overlapping; but with specific BIVA, significant differences were observed between the women in different nutritional categories (malnutrition, risk of malnutrition, normal weight and obesity). On the other hand, both approaches distinguished malnourished women from those who were at risk of malnutrition, according to the Mini Nutritional Assessment; and men with a moderate-high risk of malnutrition from men with no risk, on the basis of the Geriatric Nutritional Risk Index.
  
  
  CONCLUSIONS
  Overall, the findings of the present study suggest that specific BIVA is more effective than classic BIVA in identifying bioelectrical changes associated with psycho-functional and nutritional indicators in institutionalised elderly with dementia.
authors: Area of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, C/Ramón y Cajal 7, 47005 Valladolid, Spain. Electronic address: aliciacamina@gmail.com.
authors: M Alicia
authors: MA
authors: Camina Martín
authors: Area of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, C/Ramón y Cajal 7, 47005 Valladolid, Spain.
authors: Beatriz
authors: B
authors: de Mateo Silleras
authors: Residential Care Centre San Juan de Dios, Psychogeriatric Area, Paseo Padre Faustino Calvo s/n Apto 66, 34005 Palencia, Spain.
authors: Sara
authors: S
authors: Barrera Ortega
authors: Residential Care Centre San Juan de Dios, Psychogeriatric Area, Paseo Padre Faustino Calvo s/n Apto 66, 34005 Palencia, Spain.
authors: Luis
authors: L
authors: Domínguez Rodríguez
authors: Area of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, C/Ramón y Cajal 7, 47005 Valladolid, Spain.
authors: M Paz
authors: MP
authors: Redondo del Río
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001823:Body Composition; D003430:Cross-Sectional Studies; D003704:Dementia / Q000503:physiopathology*; D017097:Electric Impedance; D005260:Female; D006801:Humans; D007326:Institutionalization; D008297:Male; D008875:Middle Aged; D015596:Nutrition Assessment; D009752:Nutritional Status
keywords: Classic BIVA; Dementia; Elderly; Nutritional assessment; Specific BIVA