Effect of Menstrual Cycle Phase and Hormonal Contraceptives on Resting Metabolic Rate and Body Composition.

RMR female athletes sex hormones

Journal

International journal of sport nutrition and exercise metabolism
ISSN: 1543-2742
Titre abrégé: Int J Sport Nutr Exerc Metab
Pays: United States
ID NLM: 100939812

Informations de publication

Date de publication:
23 Apr 2024
Historique:
received: 10 09 2023
revised: 17 01 2024
accepted: 29 02 2024
medline: 24 4 2024
pubmed: 24 4 2024
entrez: 23 4 2024
Statut: aheadofprint

Résumé

The cyclical changes in sex hormones across the menstrual cycle (MC) are associated with various biological changes that may alter resting metabolic rate (RMR) and body composition estimates. Hormonal contraceptive (HC) use must also be considered given their impact on endogenous sex hormone concentrations and synchronous exogenous profiles. The purpose of this study was to determine if RMR and dual-energy X-ray absorptiometry body composition estimates change across the MC and differ compared with HC users. This was accomplished during a 5-week training camp involving naturally cycling athletes (n = 11) and HC users (n = 7 subdermal progestin implant, n = 4 combined monophasic oral contraceptive pill, n = 1 injection) from the National Rugby League Indigenous Women's Academy. MC phase was retrospectively confirmed via serum estradiol and progesterone concentrations and a positive ovulation test. HC users had serum estradiol and progesterone concentrations assessed at the time point of testing. Results were analyzed using general linear mixed model. There was no effect of MC phase on absolute RMR (p = .877), relative RMR (p = .957), or dual-energy X-ray absorptiometry body composition estimates (p > .05). There was no effect of HC use on absolute RMR (p = .069), relative RMR (p = .679), or fat mass estimates (p = .766), but HC users had a greater fat-free mass and lean body mass than naturally cycling athletes (p = .028). Our findings suggest that RMR and dual-energy X-ray absorptiometry body composition estimates do not significantly differ due to changes in sex hormones in a group of athletes, and measurements can be compared between MC phases or with HC usage without variations in sex hormones causing additional noise.

Identifiants

pubmed: 38653456
doi: 10.1123/ijsnem.2023-0193
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-11

Auteurs

Megan A Kuikman (MA)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.

Alannah K A McKay (AKA)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.

Clare Minahan (C)

Griffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
Female Performance and Health Initiative, Australian Institute of Sport, Canberra, ACT, Australia.

Rachel Harris (R)

Female Performance and Health Initiative, Australian Institute of Sport, Canberra, ACT, Australia.
Perth Orthopaedic and Sports Medicine Research Institute, West Perth, WA, Australia.

Kirsty J Elliott-Sale (KJ)

Department of Sport and Exercise Sciences, Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom.

Trent Stellingwerff (T)

Canadian Sport Institute-Pacific, Pacific Institute for Sport Excellence, Victoria, BC, Canada.
Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.

Ella S Smith (ES)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.

Rachel McCormick (R)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.

Nicolin Tee (N)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.

Jessica Skinner (J)

National Rugby League, Sydney, NSW, Australia.

Kathryn E Ackerman (KE)

Female Athlete Program, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.

Louise M Burke (LM)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.

Classifications MeSH