MedPath

Bone Metabolism in Premenopausal Exercising Women

Not Applicable
Conditions
Contraception
Bone Metabolism
Low Energy Availability
Eumenorrhea
Registration Number
NCT06961773
Lead Sponsor
Universidad Politecnica de Madrid
Brief Summary

The main goal of this study is to examine how sex hormones and low energy availability affect the concentrations of bone remodelling markers at rest and after a running protocol. The research questions to be addressed are:

1: Does the ovarian hormone profile influence serum bone marker concentrations in women exercising resting and in response to to exercise?

2. Are there differences in response to low energy availability in bone marker concentrations between eumenorrhoeic female athletes and oral contraceptive users?

3: Is the response of bone markers affected by different exercise stimuli: endurance or aerobic endurance?

4: Do bone markers return to baseline levels after 24 hours of high energy availability diet after 6 days of low energy availability?

Detailed Description

To achieve the aim of the study, there will be two experimental groups - e.g. eumenorrhoeic females and oral contraceptive users - who, after screening, will be randomly assigned to a low- or high-energy diet. After 6 days on this diet, the participant will undergo an intervallic running protocol and blood samples will be taken before and after the test. The following month the participant will do the other type of diet.

Recruitment & Eligibility

Status
ENROLLING_BY_INVITATION
Sex
Female
Target Recruitment
22
Inclusion Criteria
  • Be healthy and between 18 and 30 years old.
  • Engage in endurance sports that involve running (such as athletics, running, triathlon, trail running, etc.) for 3 to 12 hours per week..
  • Eumenorrheic females with regular menstruation at least 6 months prior to the study.
  • Monophasic oral contraceptive users at least 6 months prior to the study.
Exclusion Criteria
  • Amenorrheic females.
  • Pregnant females.
  • Affected by any disorder related to the hypothalamo-pituitary-ovarian axis.
  • Having suffered a bone fracture in the year before the study.
  • Taking any medication or supplements that affect bone metabolism.

Study & Design

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Primary Outcome Measures
NameTimeMethod
Concentration of bone metabolism biomarkersimmediately pre-exercise and immediately, 15 minutes and 24 hours post-exercise

Concentration of procollagen type I N-propeptide (P1NP), cross-linking telopeptide of type I collagen (βCTX-1), paratyroid hormone, calcium, sclerostin, osteoprotegin, osteocalcin, bone alkaline phospatase, Receptor Activator for Nuclear Factor κ B Ligand (RANKL) measured in serum samples.

Concentrations of other biochemical biomarkersImmediately pre-exercise and immediately, 15 minutes and 24 hours post-exercise

Concentrations of Triiodothyronine (T3), Albumin, Sex Hormone Binding Globulin (SHBG), etc. measured in serum

Concentrations of sex hormonesImmediately pre-exercise and immediately, 15 minutes and 24 hours post-exercise

Concentrations of 17β-Oestradiol and Progesterone measured in serum.

Bone mineral densityAt the screening phase

Total, lumbar spine and femoral neck bone mineral density (g/cm\^2) measured by dual x-ray absorptiometry

Secondary Outcome Measures
NameTimeMethod
Training status variablesAt the screening phase

Oxygen uptake at ventilatory threshold 1, ventilatory threshold 2, and maximal oxygen uptake (ml/kg/min) measured with a gas analyser.

Body composition variablesImmediately pre- and post-nutritional intervention (bioimpedance) and DXA at the screening

Fat mass (kg), fat free mass (kg), fat mass percentage, fat-free mass percentage (FFM), total mass (kg) measured by dual x-ray absorptiometry

Body metricsMeasured at the screening phase

Height (cm)

Trial Locations

Locations (1)

Faculty of physical activity and sport sciences

🇪🇸

Madrid, Comunity of Madrid, Spain

Faculty of physical activity and sport sciences
🇪🇸Madrid, Comunity of Madrid, Spain

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.