Literature DB >> 25117995

Body composition analysis in older adults with dementia. Anthropometry and bioelectrical impedance analysis: a critical review.

M A Camina Martín1, B de Mateo Silleras1, M P Redondo del Río1.   

Abstract

In clinical practice, geriatric nutritional assessment usually includes nutritional screening, a simple anthropometric assessment, measurement of various biochemical parameters, such as serum albumin, and sometimes (not always) body composition analysis (BCA). However, there is a high prevalence of undiagnosed malnutrition in patients with dementia. Several factors contribute to this situation; probably, the most notable is the methodology used to assess body composition (BC). In this regard, for BCA, techniques are needed that are noninvasive, affordable, safe, simple and that require the minimum possible collaboration by the elderly patient. Consequently, body mass index (BMI) and waist circumference (WC) are widely used as indicators of overall and central adiposity, respectively; however, there is no consensus on the cutoffs for the elderly, and changes in BC (especially muscle-mass depletion) are masked by normal values of BMI and WC. Bioimpedance analysis is a simple, cost-effective and precise method for BCA, provided that cross-validated equations are used. Its main disadvantage is that it is highly sensitive to changes in body water (overhydration or dehydration), leading to substantial errors in BC estimates. However, using Bioelectrical Impedance Vector Analysis errors are minimized, as there is no need for the subject to be normally hydrated and it does not require the use of predictive models.

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Year:  2014        PMID: 25117995     DOI: 10.1038/ejcn.2014.168

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  67 in total

1.  Body composition estimated by bioelectrical impedance in the Swedish elderly. Development of population-based prediction equation and reference values of fat-free mass and body fat for 70- and 75-y olds.

Authors:  D K Dey; I Bosaeus; L Lissner; B Steen
Journal:  Eur J Clin Nutr       Date:  2003-08       Impact factor: 4.016

2.  Density of body fat in man and other mammals.

Authors:  F FIDANZA; A KEYS; J T ANDERSON
Journal:  J Appl Physiol       Date:  1953-10       Impact factor: 3.531

3.  The availability of body composition reference data for the elderly.

Authors:  W M C Chumlea; S S Sun
Journal:  J Nutr Health Aging       Date:  2004       Impact factor: 4.075

4.  Dual-energy X-ray absorptiometry: fat estimation errors due to variation in soft tissue hydration.

Authors:  A Pietrobelli; Z Wang; C Formica; S B Heymsfield
Journal:  Am J Physiol       Date:  1998-05

Review 5.  Evolution of bioimpedance: a circuitous journey from estimation of physiological function to assessment of body composition and a return to clinical research.

Authors:  H C Lukaski
Journal:  Eur J Clin Nutr       Date:  2013-01       Impact factor: 4.016

6.  Patterns of bioelectrical impedance vector distribution by body mass index and age: implications for body-composition analysis.

Authors:  Anja Bosy-Westphal; Sandra Danielzik; Ralf-Peter Dörhöfer; Antonio Piccoli; Manfred J Müller
Journal:  Am J Clin Nutr       Date:  2005-07       Impact factor: 7.045

7.  Single prediction equation for bioelectrical impedance analysis in adults aged 20--94 years.

Authors:  U G Kyle; L Genton; L Karsegard; D O Slosman; C Pichard
Journal:  Nutrition       Date:  2001-03       Impact factor: 4.008

8.  Waist circumference and abdominal adipose tissue distribution: influence of age and sex.

Authors:  Jennifer L Kuk; SoJung Lee; Steven B Heymsfield; Robert Ross
Journal:  Am J Clin Nutr       Date:  2005-06       Impact factor: 7.045

9.  Fat-free mass index and fat mass index percentiles in Caucasians aged 18-98 y.

Authors:  Y Schutz; U U G Kyle; C Pichard
Journal:  Int J Obes Relat Metab Disord       Date:  2002-07

Review 10.  Bioelectric and anthropometric assessments and reference data in the elderly.

Authors:  W C Chumlea; S S Guo; R J Kuczmarski; B Vellas
Journal:  J Nutr       Date:  1993-02       Impact factor: 4.798

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  7 in total

1.  Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications.

Authors:  Rene Harder; Andre Diedrich; Jonathan S Whitfield; Macie S Buchowski; John B Pietsch; Franz J Baudenbacher
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2016-02-03       Impact factor: 3.833

2.  CT of Patients With Hip Fracture: Muscle Size and Attenuation Help Predict Mortality.

Authors:  Robert D Boutin; Sara Bamrungchart; Cyrus P Bateni; Daniel P Beavers; Kristen M Beavers; John P Meehan; Leon Lenchik
Journal:  AJR Am J Roentgenol       Date:  2017-03-07       Impact factor: 3.959

3.  Different displacement of bioimpedance vector due to Ag/AgCl electrode effect.

Authors:  L Nescolarde; H Lukaski; A De Lorenzo; B de-Mateo-Silleras; M P Redondo-Del-Río; M A Camina-Martín
Journal:  Eur J Clin Nutr       Date:  2016-07-06       Impact factor: 4.016

4.  Effect of sarcopenia on clinical and surgical outcome in elderly patients with proximal femur fractures.

Authors:  Ching-Di Chang; Jim S Wu; Jennifer Ni Mhuircheartaigh; Marry G Hochman; Edward K Rodriguez; Paul T Appleton; Colm J Mcmahon
Journal:  Skeletal Radiol       Date:  2017-12-15       Impact factor: 2.199

5.  Association of Drug Application and Hydration Status in Elderly Patients.

Authors:  Laura Hoen; Daniel Pfeffer; Rico Zapf; Andrea Raabe; Janosch Hildebrand; Johannes Kraft; Stefan Kalkhof
Journal:  Nutrients       Date:  2021-06-04       Impact factor: 5.717

6.  Anthropometric reference data for elderly Swedes and its disease-related pattern.

Authors:  N N Gavriilidou; M Pihlsgård; S Elmståhl
Journal:  Eur J Clin Nutr       Date:  2015-05-20       Impact factor: 4.016

Review 7.  Malnutrition Screening and Assessment.

Authors:  Carlos Serón-Arbeloa; Lorenzo Labarta-Monzón; José Puzo-Foncillas; Tomas Mallor-Bonet; Alberto Lafita-López; Néstor Bueno-Vidales; Miguel Montoro-Huguet
Journal:  Nutrients       Date:  2022-06-09       Impact factor: 6.706

  7 in total

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