(Q51937871)

18 April 2018

title

Additional anthropometric measures may improve the predictability of basal metabolic rate in adult subjects. (English)

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18 April 2018

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Johnstone AM

1

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18 April 2018

Rance KA

2

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18 April 2018

Murison SD

3

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Duncan JS

4

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Speakman JR

5

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18 April 2018

publication date

12 July 2006

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18 April 2018

European Journal of Clinical Nutrition

published in

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18 April 2018

volume

60

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issue

12

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18 April 2018

page(s)

1437-1444

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18 April 2018

https://scigraph.springernature.com/pub.10.1038/sj.ejcn.1602477

exact match

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cites work

Whole body air displacement plethysmography compared with hydrodensitometry for body composition analysis

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Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 Years

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The validity of predicting the basal metabolic rate of young Australian men and women.

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Comparison of two systems of measuring energy expenditure.

21 January 2018

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https://api.crossref.org/works/10.1038%2FSJ.EJCN.1602477

Anthropometric measurement error and the assessment of nutritional status

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Predicting the resting metabolic rate of young Australian males.

21 January 2018

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Relationship between birth weight and body composition, energy metabolism, and sympathetic nervous system activity later in life

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Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation

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7 January 2021

Predicting basal metabolic rate in the obese is difficult

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7 January 2021

Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine

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An evaluation of energy intakes and the ratio of energy intake to estimated basal metabolic rate (EI/BMRest) in the North/South Ireland Food Consumption Survey

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World Health Organization equations have shortcomings for predicting resting energy expenditure in persons from a modern, affluent population: generation of a new reference standard from a retrospective analysis of a German database of resting energy

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7 January 2021

Prediction of resting energy expenditure from fat-free mass and fat mass

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7 January 2021

Impact of regional and total body composition and hormones on resting energy expenditure in overweight postmenopausal women

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Reexamination of the relationship of resting metabolic rate to fat-free mass and to the metabolically active components of fat-free mass in humans

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7 January 2021

Identifiers

DOI

10.1038/SJ.EJCN.1602477

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18 April 2018

Dimensions Publication ID

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18 April 2018