scholarly journals Nutritional status and body composition by bioelectrical impedance vector analysis: A cross sectional study in mild cognitive impairment and Alzheimer’s disease

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171331 ◽  
Author(s):  
Ilaria Cova ◽  
Simone Pomati ◽  
Laura Maggiore ◽  
Marica Forcella ◽  
Valentina Cucumo ◽  
...  
Keyword(s):  
Body Composition ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Nutritional Status ◽  
Bioelectrical Impedance ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Bioelectrical Impedance Vector Analysis ◽  
Impedance Vector

scholarly journals Body Composition and Selected Nutritional Indicators in Healthy Adults—A Cross-Sectional Study

2021 ◽  
Vol 10 ◽  
pp. 216495612110217
Author(s):  
Paweł Więch ◽  
Zdzisława Chmiel ◽  
Dariusz Bazaliński ◽  
Marek Sobolewski ◽  
Izabela Sałacińska
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Bioelectrical Impedance ◽  
Cross Sectional Study ◽  
Healthy Adults ◽  
Vector Analysis ◽  
Sectional Study ◽  
Cross Sectional ◽  
Bioelectrical Impedance Vector Analysis ◽  
Impedance Vector

Background Body mass composition is subject to constant change and is multifactorially determined. Its analysis in different age groups allows a better understanding of the determinants of the human organism in health and disease. Aim The study was aimed to conduct cross-sectional assessment of body composition and selected nutritional indicators in healthy adults. Methods The cross-sectional study carried out from March 2016 to April 2018 was preceded by a monthly pilot study. All 1333 adults (women 795, 59.6%) aged 20–59 included in the study were from the urban and rural area of the Podkarpackie Province (Poland). These adults were classified into four 10-year age bands. To obtain reliable assessment, selected screening (anthropometry) and in-depth (bioelectrical impedance including phase angle and bioelectrical impedance vector analysis) methods were used. Results In women, the proportion of individuals affected by overweight and obesity increases significantly with age, with a less pronounced trend in men, as reflected in the observed differences in individual body composition components. A slight (0.45–0.60) correlation was also observed between body mass index (BMI) and percentage of fat mass (FM %) among men with an increasing strength of the association with age, decreasing in the 50–59 years group. In the female group, the correlations described are at a much higher level (0.80 or higher). The described changes in body composition were reflected in body type from athletic to obese, measured by means of the bioelectrical impedance vector analysis (BIVA) method. Conclusions Age and gender significantly differentiate body composition of the adult human body. The body composition analysis should be considered as complement screening assessment method, especially as a support for the assessment of nutritional status expressed by BMI.

scholarly journals POOR BODY COMPOSITION IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT COMPARED TO HEALTHY OLDER CONTROLS

2018 ◽  
pp. 1-5
Author(s):  
J. Willers ◽  
A. Hahn ◽  
T. Köbe ◽  
S. Gellert ◽  
V. Witte ◽  
...  
Keyword(s):  
Body Composition ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Nutritional Status ◽  
Body Mass ◽  
Cell Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Activity Level ◽  
Cross Sectional

In this cross-sectional study, body composition of fifty-eight mild cognitive impairment (MCI) patients (single and multiple domain) and fifty healthy older control subjects by the use of bioelectrical impedance analysis (BIA) was assessed. Measurements were: height, weight, body mass index, BIA: phase angle (PA), total body water (TBW), lean body mass (LBM), body cell mass (BCM), extracellular mass (ECM), body fat mass (BFM), apolipoprotein E4, and physical activity level. Compared to BIA reference values and healthy subjects, MCI patients had significant differences in PA (only female), BCM and ECM/BCM index. Differences were more pronounced in females compared to males. The low levels of BCM and PA suggest that MCI patients, especially of female sex, have a poor nutritional status. BIA-derived PA might be a suitable indicator, that could enhance evaluation of nutritional status in patients with cognitive decline.

scholarly journals Impaired abstract thinking may discriminate between normal aging and vascular mild cognitive impairment

2010 ◽  
Vol 68 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Felipe Kenji Sudo ◽  
Gilberto Sousa Alves ◽  
Carlos Eduardo de Oliveira Alves ◽  
Maria Elisa Lanna ◽  
Letice Ericeira-Valente ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cerebrovascular Disease ◽  
Cognitive Deficits ◽  
Cross Sectional Study ◽  
Abstract Thinking ◽  
Sectional Study ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Healthy Elderly

OBJECTIVE: Cerebrovascular disease (CVD) is associated with cognitive deficits. This cross-sectional study examines differences among healthy elderly controls and patients with vascular mild cognitive impairment (VaMCI) and vascular dementia (VaD) in performances on CAMCOG subscales. METHOD: Elderly individuals (n=61) were divided into 3 groups, according to cognitive and neuroimaging status: 16 controls, 20 VaMCI and 25 VaD. VaMCI and VaD individuals scored over 4 points on the Hachinski Ischemic Scale. RESULTS: Significant differences in total CAMCOG scores were observed across the three groups (p<0.001). VaD subjects performed worse than those with VaMCI in most CAMCOG subscales (p<0.001). All subscales showed differences between controls and VaD (p<0.001). Performance on abstract thinking showed difference between VaMCI and controls (p<0.001). CONCLUSION: CAMCOG discriminated controls from VaMCI and VaD. Assessment of abstract thinking may be useful as a screening item for diagnosis of VaMCI.

scholarly journals Reference distribution of the bioelectrical impedance vector in healthy term newborns

2010 ◽  
Vol 104 (10) ◽  
pp. 1508-1513 ◽  
Author(s):  
Ana V. B. Margutti ◽  
Jacqueline P. Monteiro ◽  
José S. Camelo
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance ◽  
Cross Sectional Study ◽  
Vector Analysis ◽  
Whole Body ◽  
General Distribution ◽  
Reference Distribution ◽  
Cross Sectional ◽  
Term Newborns ◽  
Impedance Vector

Bioelectrical impedance vector analysis (BIVA) is a new method that is used for the routine monitoring of the variation in body fluids and nutritional status with assumptions regarding body composition values. The aim of the present study was to determine bivariate tolerance intervals of the whole-body impedance vector and to describe phase angle (PA) values for healthy term newborns aged 7–28 d. This descriptive cross-sectional study was conducted on healthy term neonates born at a low-risk public maternity. General and anthropometric neonatal data and bioelectrical impedance data (800 μA–50 kHz) were obtained. Bivariate vector analysis was conducted with the resistance–reactance (RXc) graph method. The BIVA software was used to construct the graphs. The study was conducted on 109 neonates (52·3 % females) who were born at term, adequate for gestational age, exclusively breast-fed and aged 13 (sd 3·6) d. We constructed one standard, reference, RXc-score graph and RXc-tolerance ellipses (50, 75 and 95 %) that can be used with any analyser. Mean PA was 3·14 (sd 0·43)° (3·12 (sd 0·39)° for males and 3·17 (sd 0·48)° for females). Considering the overlapping of ellipses of males and females with the general distribution, a graph for newborns aged 7–28 d with the same reference tolerance ellipse was defined for boys and girls. The results differ from those reported in the literature probably, in part, due to the ethnic differences in body composition. BIVA and PA permit an assessment without the need to know body weight and the prediction error of conventional impedance formulas.

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