Literature DB >> 10795733

Body composition prediction equations for elderly men.

T L Dupler1, H Tolson.   

Abstract

BACKGROUND: The purpose of this study was to develop and validate anthropometric body composition prediction equations for elderly (i.e., > or =65 years old) men. This was necessary because of a lack of accurate and reliable predictive equations specifically developed for this population.
METHODS: Seventy-five elderly men were randomly assigned to either an equation development sample (on = 50) or an equation validation sample (n = 25). Subject anthropometric measures were analyzed in a regression procedure with hydrodensitometry-determined body density, percentage of fat, fat-free mass, and fat weight to develop prediction equations for each body composition variable. The equation estimates were then validated against the hydrostatically determined measures.
RESULTS: Four equations were developed and validated for the estimation of elderly male body composition variables [one each for body density (R2 = .66, SEE = +/- .01, where SEE is the standard error of estimate), percentage of fat (R2 = .66, SEE = +/- 4.43), fat-free mass (R2 = .88, SEE = +/- 3.94, and fat weight (R2 = .90, SEE = +/- 4.11)]. The equations provided estimates of body density, percentage of fat, fat-free mass, and fat weight, which were not statistically different from the hydrostatically determined criterion variables.
CONCLUSIONS: The results of this study indicate that accurate and reliable anthropometric predictive equations can be developed for an active and healthy elderly male population. These equations may be used for accurate epidemiological testing of this group's body composition variables.

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Year:  2000        PMID: 10795733     DOI: 10.1093/gerona/55.3.m180

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  7 in total

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Authors:  Y Takai; M Ohta; R Akagi; E Kato; T Wakahara; Y Kawakami; T Fukunaga; H Kanehisa
Journal:  J Nutr Health Aging       Date:  2014       Impact factor: 4.075

2.  Validity of muscle thickness-based prediction equation for quadriceps femoris volume in middle-aged and older men and women.

Authors:  Miyuki Nakatani; Yohei Takai; Ryota Akagi; Taku Wakahara; Norihide Sugisaki; Megumi Ohta; Yasuo Kawakami; Tetsuo Fukunaga; Hiroaki Kanehisa
Journal:  Eur J Appl Physiol       Date:  2016-09-02       Impact factor: 3.078

3.  Rapid measurement of total body water to facilitate clinical decision making in hospitalized elderly patients.

Authors:  James S Powers; Leena Choi; Rhonda Bitting; Nitin Gupta; Maciej Buchowski
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-02-19       Impact factor: 6.053

4.  Prediction and validation of DXA-derived appendicular lean soft tissue mass by ultrasound in older adults.

Authors:  Takashi Abe; Robert S Thiebaud; Jeremy P Loenneke; Kaelin C Young
Journal:  Age (Dordr)       Date:  2015-11-10

5.  Clinical usefulness of a new equation for estimating body fat.

Authors:  Javier Gómez-Ambrosi; Camilo Silva; Victoria Catalán; Amaia Rodríguez; Juan Carlos Galofré; Javier Escalada; Victor Valentí; Fernando Rotellar; Sonia Romero; Beatriz Ramírez; Javier Salvador; Gema Frühbeck
Journal:  Diabetes Care       Date:  2011-12-16       Impact factor: 19.112

6.  A comparison between multiple regression models and CUN-BAE equation to predict body fat in adults.

Authors:  Pilar Fuster-Parra; Miquel Bennasar-Veny; Pedro Tauler; Aina Yañez; Angel A López-González; Antoni Aguiló
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

7.  Validity of ultrasound muscle thickness measurements for predicting leg skeletal muscle mass in healthy Japanese middle-aged and older individuals.

Authors:  Yohei Takai; Megumi Ohta; Ryota Akagi; Emika Kato; Taku Wakahara; Yasuo Kawakami; Tetsuo Fukunaga; Hiroaki Kanehisa
Journal:  J Physiol Anthropol       Date:  2013-09-25       Impact factor: 2.867

  7 in total

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