Camina Martín M Alicia, de Mateo Silleras Beatriz, Barrera Ortega Sara, Domínguez Rodríguez Luis, Redondo del Río M Paz
Area of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, C/Ramón y Cajal 7, 47005 Valladolid, Spain.
Area of Nutrition and Food Science, Faculty of Medicine, University of Valladolid, C/Ramón y Cajal 7, 47005 Valladolid, Spain.
Exp Gerontol. 2014 Sep;57:264-71. doi: 10.1016/j.exger.2014.06.016. Epub 2014 Jun 25.
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.
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.
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.
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.
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.
生物电阻抗矢量分析（BIVA）的一种新的分析变体，称为特定BIVA，已被证明在检测脂肪量变化方面比传统BIVA更准确。
比较传统BIVA和特定BIVA，以确定在一组患有痴呆症的机构养老老年患者中，哪种方法与心理功能和营养指标的关联更强。
横断面研究。54名年龄在60 - 95岁、患有中度至重度痴呆症的患者（34名女性，20名男性）接受了老年营养评估，包括体重指数计算、微型营养评定、老年营养风险指数和全身成分分析。
使用特定BIVA（与传统BIVA不同）时，发现中度重度和重度痴呆症女性之间存在显著差异。在针对体重指数进行的BIVA中，传统BIVA方法产生的置信椭圆高度重叠；但使用特定BIVA时，不同营养类别（营养不良、营养不良风险、正常体重和肥胖）的女性之间观察到显著差异。另一方面，根据微型营养评定，两种方法都能区分营养不良的女性和有营养不良风险的女性；根据老年营养风险指数，能区分有中度高营养不良风险的男性和无风险的男性。
总体而言，本研究结果表明，在识别与患有痴呆症的机构养老老年人的心理功能和营养指标相关的生物电变化方面，特定BIVA比传统BIVA更有效。
