Literature DB >> 29140154

No Difference in Young Adult Athletes' Resting Energy Expenditure When Measured Under Inpatient or Outpatient Conditions.

Julia L Bone1, Louise M Burke1.   

Abstract

Low energy availability can place athletes at increased risk of injury and illness and can be detected by a lower metabolic rate. The lowest metabolic rate is captured at the bedside, after an overnight fast and termed inpatient resting energy expenditure (REE). Measurements done in a laboratory with a shorter overnight fast are termed outpatient REE. Although important to know what the lowest energy expenditure, a bedside measure and/or 12-hr fast is not always practical or logistically possible particularly when you take into account an athlete's training schedule. The aim of this investigation was to compare a bedside measure of resting metabolism with a laboratory measure in athletes following an 8-hr fast. Thirty-two athletes (24 females and eight males) underwent measures of resting metabolism using indirect calorimetry once at their bedside (inpatient) and once in a simulated laboratory setting (outpatient). Paired t test was used to compare the mean ± SD differences between the two protocols. Inpatient REE was 7,302 ± 1,272 kJ/day and outpatient REE was 7,216 ± 1,116 kJ/day (p = .448). Thirteen participants repeated the outpatient protocol and 17 repeated the inpatient protocol to assess the day-to-day variation. Reliability was assessed using the intraclass correlation coefficient and typical error. The inpatient-protocol variability was 96% with a typical error of 336.2 kJ/day. For the outpatient protocol, the intraclass correlation coefficient and typical error were 87% and 477.6 kJ/day, respectively. Results indicate no difference in REE when measured under inpatient and outpatient conditions; however, the inpatient protocol has greater reliability.

Entities:  

Keywords:  basal metabolism; indirect calorimetry; resting metabolic rate; trained

Mesh:

Year:  2018        PMID: 29140154     DOI: 10.1123/ijsnem.2016-0315

Source DB:  PubMed          Journal:  Int J Sport Nutr Exerc Metab        ISSN: 1526-484X            Impact factor:   4.599


  4 in total

1.  Screening for Low Energy Availability in Male Athletes: Attempted Validation of LEAM-Q.

Authors:  Bronwen Lundy; Monica K Torstveit; Thomas B Stenqvist; Louise M Burke; Ina Garthe; Gary J Slater; Christian Ritz; Anna K Melin
Journal:  Nutrients       Date:  2022-04-29       Impact factor: 6.706

2.  (Low) Energy Availability and Its Association with Injury Occurrence in Competitive Dance: Cross-Sectional Analysis in Female Dancers.

Authors:  Dasa Prus; Dragan Mijatovic; Vedran Hadzic; Daria Ostojic; Sime Versic; Natasa Zenic; Tatjana Jezdimirovic; Patrik Drid; Petra Zaletel
Journal:  Medicina (Kaunas)       Date:  2022-06-26       Impact factor: 2.948

Review 3.  Low Energy Availability in Athletes 2020: An Updated Narrative Review of Prevalence, Risk, Within-Day Energy Balance, Knowledge, and Impact on Sports Performance.

Authors:  Danielle M Logue; Sharon M Madigan; Anna Melin; Eamonn Delahunt; Mirjam Heinen; Sarah-Jane Mc Donnell; Clare A Corish
Journal:  Nutrients       Date:  2020-03-20       Impact factor: 5.717

4.  Adaptation to a low carbohydrate high fat diet is rapid but impairs endurance exercise metabolism and performance despite enhanced glycogen availability.

Authors:  Louise M Burke; Jamie Whitfield; Ida A Heikura; Megan L R Ross; Nicolin Tee; Sara F Forbes; Rebecca Hall; Alannah K A McKay; Alice M Wallett; Avish P Sharma
Journal:  J Physiol       Date:  2020-08-19       Impact factor: 5.182

  4 in total

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