Hormonal Status, Performance and Health in Elite Female Athlete (FEMMES)
Menstrual Cycle, Amenorrhea and Contraception in Elite Female Athletes: Impact on Performance, Health and the Athlete's Biological Passport
The repercussions of the hormonal status of high-level sportswomen on their performance and health as well as on the Athlete's Biological Passport (ABP) have been little studied and remain poorly known. The investigators therefore propose to contribute to the improvement of current knowledge by determining, thanks to the implementation of a multidisciplinary monitoring, with the use of various tests and matrices, in female elite athletes and recreational athletes (control group):
- 1) the impact of cycle phase, absence of cycle or contraceptive use on physical and psychological performance, health as well as on ABP;
- 2) the potential confounding effects of the athlete's environment
- 3) correlations between the different matrices analyzed
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Volunteers to be studied: 80 healthy female subjects (16 to 30 years old), divided into 2 groups:
Group 1: 60 athletes, from different sports disciplines, in amenorrhea, with menstrual cycle or taking contraceptives
Group 2: 20 leisure sports subjects with menstrual cycle or taking contraceptives
Following the oral and written information of the project, the subjects have a minimum of 15 days of reflection before signing the written consent form. They will have the possibility, at any time, to voluntarily interrupt the study without having to justify themselves.
Investigations to be performed:
- Annual complete clinical examination :
"Out-of-competition" follow-up, time frame 6 months
- medical, nutritional and respiratory monitoring
- biological monitoring
- psychological monitoring
- performance monitoring
Non-invasive "in-competition" monitoring, only for Group 1, once in a year on the day before/after a major competition:
- biological monitoring
- psychological monitoring
- performance monitoring (interview)
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Emmanuelle DURON, PU-PH
- Phone Number: 33144083503
- Email: emmanuelle.duron@aphp.fr
Study Contact Backup
- Name: Christine Le-Scanff, PU
- Phone Number: 33169156198
- Email: christine.le-scanff@universite-paris-saclay.fr
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Group 1: high-level athletes (qualified for national/international championships and/or training at least 15 hours/week)
- Group 2: recreational athletes who practice a regular physical activity
Exclusion Criteria:
- Participation in another trial
- History of cardiac pathology
- High blood pressure
- History of ulcers and other gastrointestinal disorders
- Myasthenia
- Renal insufficiency
- Person not affiliated or not benefiting from a social security system
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Female athletes
highly trained subjects
|
Multidisciplinary monitoring
|
|
Experimental: Leisure sport women
recreational sportswomen practicing regular physical activity
|
Multidisciplinary monitoring
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change from baseline weight
Time Frame: 6 months
|
in kg, by impedancemeter
|
6 months
|
|
Change from baseline fat and lean mass
Time Frame: 6 months
|
in kg, by impedancemeter
|
6 months
|
|
Change from baseline height
Time Frame: 6 months
|
in cm, by height gauge
|
6 months
|
|
Change from baseline sex and stress hormones
Time Frame: 6 months
|
concentration of oestradiol, progesterone, testosterone, DHEA, cortisol, LH and FSH in mol/L
|
6 months
|
|
Change from baseline food intake
Time Frame: 6 months
|
food intake questionnaire to complete over 3 days, expressed in kcal/day
|
6 months
|
|
Change from baseline metabolic parameters
Time Frame: 6 months
|
concentration of blood glucose, blood lactate, lipid profile, insulin, GH, IGF1, T3, IgA, PRL and leptin in mol/L
|
6 months
|
|
Change from baseline respiratory parameters
Time Frame: 6 months
|
measure of FEV1 (forced expiratory volume in 1 second), expressed in % of vital capacity
|
6 months
|
|
Change from baseline inflammatory parameters
Time Frame: 6 months
|
concentration of cytokines (TNF-alpha, IL-6) in mol/L
|
6 months
|
|
Change from baseline executive function
Time Frame: 6 months
|
assessed by instability via static and dynamic postures (eyes open/closed) on platform
|
6 months
|
|
Change from baseline visual-spatial processing
Time Frame: 6 months
|
3 D mental rotation test, assessed by scores: range from 0 - 24, with 24 representing a perfect total score
|
6 months
|
|
Change from baseline attention and working memory
Time Frame: 6 months
|
Stroop Color Word Task, assessed by scores : range of interference from -15 - +15, with higher scores representing decreased selective attention
|
6 months
|
|
Change from baseline performance monitoring
Time Frame: 6 months
|
field performance test, performance expressed in time
|
6 months
|
|
Change from baseline Athlete Biological Passport (Group 2)
Time Frame: 6 months
|
assessed by analysis of the standardized parameters of the Athlete Biological Passport (WADA)
|
6 months
|
|
Change from baseline affects (Group 2)
Time Frame: 6 months
|
Positive Affect and Negative Affect Schedule (PANAS), assessed by scores.
Positive Affect Score: range from 10 - 50, with higher scores representing higher levels of positive affect.
Negative Affect Score: range from 10 - 50, with lower scores representing lower levels of negative affect.
|
6 months
|
|
Change from baseline anxiety (Group 2)
Time Frame: 6 months
|
Spielberger State-Trait Anxiety Inventory, assessed by scores: range from 20 - 80, with higher scores representing higher anxiety
|
6 months
|
|
Change from baseline Athlete Biological Passport (Group 1)
Time Frame: 8 months
|
assessed by analysis of the standardized parameters of the Athlete Biological Passport (WADA)
|
8 months
|
|
Change from baseline affects (Group 1)
Time Frame: 8 months
|
Positive Affect and Negative Affect Schedule (PANAS), assessed by scores.
Positive Affect Score: range from 10 - 50, with higher scores representing higher levels of positive affect.
Negative Affect Score: range from 10 - 50, with lower scores representing lower levels of negative affect.
|
8 months
|
|
Change from baseline anxiety (Group 1)
Time Frame: 8 months
|
Spielberger State-Trait Anxiety Inventory, assessed by scores: range from 20 - 80, with higher scores representing higher anxiety
|
8 months
|
|
Interview (Group 1)
Time Frame: 8 months
|
Self-confrontation interview for questioning the action
|
8 months
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Ackerman KE, Singhal V, Baskaran C, Slattery M, Campoverde Reyes KJ, Toth A, Eddy KT, Bouxsein ML, Lee H, Klibanski A, Misra M. Oestrogen replacement improves bone mineral density in oligo-amenorrhoeic athletes: a randomised clinical trial. Br J Sports Med. 2019 Feb;53(4):229-236. doi: 10.1136/bjsports-2018-099723. Epub 2018 Oct 9.
- Crewther BT, Cook CJ. The salivary testosterone response to a chance-determined contest is associated with face-gazing behaviours in athletic women. Horm Behav. 2018 Jul;103:107-110. doi: 10.1016/j.yhbeh.2018.06.011. Epub 2018 Jul 2.
- Casey E, Reese M, Okafor E, Chun D, Gagnon C, Nigl F, Dhaher YY. Influence of Menstrual Cycle and Oral Contraceptive Phase on Spinal Excitability. PM R. 2016 Sep;8(9):860-8. doi: 10.1016/j.pmrj.2016.01.013. Epub 2016 Feb 10.
- Cornelli U, Belcaro G, Cesarone MR, Finco A. Analysis of oxidative stress during the menstrual cycle. Reprod Biol Endocrinol. 2013 Aug 2;11:74. doi: 10.1186/1477-7827-11-74.
- Eklund E, Berglund B, Labrie F, Carlstrom K, Ekstrom L, Hirschberg AL. Serum androgen profile and physical performance in women Olympic athletes. Br J Sports Med. 2017 Sep;51(17):1301-1308. doi: 10.1136/bjsports-2017-097582. Epub 2017 Jun 23. Erratum In: Br J Sports Med. 2021 Oct;55(19):e8.
- Emami F, Kordi Yoosefinejad A, Motealleh A. Comparison of static and dynamic balance during early follicular and ovulation phases in healthy women, using simple, clinical tests: a cross sectional study. Gynecol Endocrinol. 2019 Mar;35(3):257-260. doi: 10.1080/09513590.2018.1519788. Epub 2018 Oct 23.
- Hausmann M, Slabbekoorn D, Van Goozen SH, Cohen-Kettenis PT, Gunturkun O. Sex hormones affect spatial abilities during the menstrual cycle. Behav Neurosci. 2000 Dec;114(6):1245-50. doi: 10.1037//0735-7044.114.6.1245.
- Julian R, Hecksteden A, Fullagar HH, Meyer T. The effects of menstrual cycle phase on physical performance in female soccer players. PLoS One. 2017 Mar 13;12(3):e0173951. doi: 10.1371/journal.pone.0173951. eCollection 2017.
- Kishali NF, Imamoglu O, Katkat D, Atan T, Akyol P. Effects of menstrual cycle on sports performance. Int J Neurosci. 2006 Dec;116(12):1549-63. doi: 10.1080/00207450600675217.
- Kluft C, Leuven JA, Helmerhorst FM, Krans HM. Pro-inflammatory effects of oestrogens during use of oral contraceptives and hormone replacement treatment. Vascul Pharmacol. 2002 Aug;39(3):149-54. doi: 10.1016/s1537-1891(02)00304-x.
- Langdeau JB, Day A, Turcotte H, Boulet LP. Gender differences in the prevalence of airway hyperresponsiveness and asthma in athletes. Respir Med. 2009 Mar;103(3):401-6. doi: 10.1016/j.rmed.2008.09.023. Epub 2008 Nov 21.
- Lebrun CM, Petit MA, McKenzie DC, Taunton JE, Prior JC. Decreased maximal aerobic capacity with use of a triphasic oral contraceptive in highly active women: a randomised controlled trial. Br J Sports Med. 2003 Aug;37(4):315-20. doi: 10.1136/bjsm.37.4.315.
- Nose-Ogura S, Yoshino O, Dohi M, Kigawa M, Harada M, Hiraike O, Onda T, Osuga Y, Fujii T, Saito S. Risk factors of stress fractures due to the female athlete triad: Differences in teens and twenties. Scand J Med Sci Sports. 2019 Oct;29(10):1501-1510. doi: 10.1111/sms.13464. Epub 2019 Jun 9.
- Otaka M, Chen SM, Zhu Y, Tsai YS, Tseng CY, Fogt DL, Lim BH, Huang CY, Kuo CH. Does ovulation affect performance in tennis players? BMJ Open Sport Exerc Med. 2018 Jan 27;4(1):e000305. doi: 10.1136/bmjsem-2017-000305. eCollection 2018. Erratum In: BMJ Open Sport Exerc Med. 2018 Aug 21;4(1):e000305corr1.
- Schaumberg MA, Jenkins DG, Janse DE Jonge XA, Emmerton LM, Skinner TL. Oral Contraceptive Use Dampens Physiological Adaptations to Sprint Interval Training. Med Sci Sports Exerc. 2017 Apr;49(4):717-727. doi: 10.1249/MSS.0000000000001171.
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- FEM-2020
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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