Understanding Cycles to Improve Women's Health
C-HEALTH
Understanding Socio-ecological Variation in Menstrual Cycles to Advance Female Health
1 other identifier
observational
320
1 country
1
Brief Summary
Introduction: The C-HEALTH study investigates how environmental and socio-economic conditions affect women's menstrual cycles and reproductive health. Aim: To compare progesterone levels during the luteal phase among women from different socio-economic backgrounds living in rural and urban areas in southern France. Methods: This is a prospective observational study involving 320 healthy women of reproductive age.
- Hormones (progesterone, estradiol) will be measured daily in saliva.
- Inflammation (Protéine C Réactive: CRP) will be measured five times per cycle via blood drops.
- Participants will wear a smart ring to monitor body temperature and activity.
- Daily symptoms and lifestyle data will be collected.
- Environmental exposures (pollution, stress, living conditions) will be assessed and linked to menstrual health outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2025
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 16, 2025
CompletedFirst Posted
Study publicly available on registry
June 25, 2025
CompletedStudy Start
First participant enrolled
September 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2029
November 28, 2025
November 1, 2025
3.8 years
June 16, 2025
November 26, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Mean Luteal Phase Salivary Progesterone
Mean salivary progesterone concentration (pg/mL) measured during the luteal phase - from the day after ovulation (Day of Ovulation, Jov) to the end of the menstrual cycle, or from day 32 to 45 if ovulation is not detected. The outcome is used to compare hormonal levels between women of low vs. high socioeconomic status living in rural (Environment 1) or urban (Environment 2) areas in the Occitanie region
One menstrual cycle (up to 45 days)
Secondary Outcomes (15)
Progesterone levels
One menstrual cycle (up to 45 days)
Estradiol levels
One menstrual cycle (up to 45 days)
Protéine C Réactive (CRP) levels
Day 2, Day 7, Day of ovulation (or Day 32 if ovulation is not detected), 7 days after ovulation (or Day 39 if ovulation is not detected), 12 days after ovulation (or Day 44 if ovulation is not detected)
The length of cycles
Day 0
Period frequency
Day 0 and the day before the next cycle
- +10 more secondary outcomes
Study Arms (4)
Environment 1a
Women with low socio-economic status in rural areas
Environment 1b
Women with high socio-economic status in rural areas
Environment 2a
Women with low socio-economic status in urban areas
Environment 2b
Women with high socio-economic status in urban areas
Interventions
Self-saliva samples are taken every day from D1 inclusive over 1 consecutive cycle, to measure progesterone (P4) and estradiol (E2) concentrations.
Self-blood sampling is done 5 times during the cycle to measure protéine C-Réactive (CRP) concentrations.
A connected ring is worn every day of the observed cycle, while maintaining lifestyle habits, to measure daily body temperature, assess heart rate variability and resting heart rate, evaluate physical activity and energy expenditure, assess stress level, and evaluate sleep quality.
An ovulation test (Ovulatest®) is carried out from day 7 until a test is positive, or until day 39 if ovulation is not detected
Eligibility Criteria
Women were initially recruted from medical and paramedical practices, hospitals, clinics, pharmacies and medical advisors from the different environments studied in Occitanie, then in a second time via social networks (Facebook and Snapchat) and local newspapers (e.g. Midi Libre) in the event of recruitment difficulties.
You may qualify if:
- Woman of childbearing age (18-39 years)
- Woman not using hormonal contraception for at least 6 months
- Woman with semi-regular menstrual cycles between 21 and 45 days inclusive
- Woman with no known history of infertility
- Woman working in the same environment (urban/rural) as her place of residence
- Knowledge of the dates of periods over the last 3 cycles
- Woman who has a freezer at -20°C
You may not qualify if:
- Diagnosis by a physician of one or more of the following comorbidities: Polycystic ovarian syndrome (PCOS), Endometriosis, Adenomyosis, Diabetes or thyroid disease, Hormone-dependent gynecological cancers (breast, endometrium, ovaries), Coagulation diseases (von Willebrand), Chronic liver failure, chronic renal failure, heart disease, autoimmune disease, Autism, Diagnosis and/or treatment for a psychiatric illness
- Person who is not comfortable with self-sampling (hematophobia or other)
- No access to a smartphone
- No possibility of wearing a connected ring for at least 60 days 22h/24h
- Pregnant or breastfeeding woman
- Woman who gave birth or breastfed in the 2 months before the study
- Person who moved less than 2 years before the study (does not concern participants who moved in the same environment (rural or urban, less than 20 km)
- Person unable to read French
- Failure to obtain informed consent
- Person not benefiting from a national health insurance scheme
- Person under legal protection, guardianship or curatorship
- Person participating in other research involving the human person
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Hospital, Montpellierlead
- National Research Agency, Francecollaborator
- Institut National de la Santé Et de la Recherche Médicale, Francecollaborator
- Centre National de la Recherche Scientifique, Francecollaborator
- Institute of Evolutionary Science of Montpelliercollaborator
- Université Montpelliercollaborator
Study Sites (1)
Institute of Evolutionary Science of Montpellier
Montpellier, 34090, France
Related Publications (26)
American Academy of Pediatrics Committee on Adolescence; American College of Obstetricians and Gynecologists Committee on Adolescent Health Care; Diaz A, Laufer MR, Breech LL. Menstruation in girls and adolescents: using the menstrual cycle as a vital sign. Pediatrics. 2006 Nov;118(5):2245-50. doi: 10.1542/peds.2006-2481.
PMID: 17079600BACKGROUNDMale V. COVID-19 vaccination and menstruation. Science. 2022 Nov 18;378(6621):704-706. doi: 10.1126/science.ade1051. Epub 2022 Nov 17.
PMID: 36395209BACKGROUNDWang YX, Arvizu M, Rich-Edwards JW, Stuart JJ, Manson JE, Missmer SA, Pan A, Chavarro JE. Menstrual cycle regularity and length across the reproductive lifespan and risk of premature mortality: prospective cohort study. BMJ. 2020 Sep 30;371:m3464. doi: 10.1136/bmj.m3464.
PMID: 32998909BACKGROUNDJasienska G, Bribiescas RG, Furberg AS, Helle S, Nunez-de la Mora A. Human reproduction and health: an evolutionary perspective. Lancet. 2017 Jul 29;390(10093):510-520. doi: 10.1016/S0140-6736(17)30573-1. Epub 2017 Jul 27.
PMID: 28792413BACKGROUNDMerklinger-Gruchala A, Jasienska G, Kapiszewska M. Effect of Air Pollution on Menstrual Cycle Length-A Prognostic Factor of Women's Reproductive Health. Int J Environ Res Public Health. 2017 Jul 20;14(7):816. doi: 10.3390/ijerph14070816.
PMID: 28726748BACKGROUNDVitzthum VJ. The ecology and evolutionary endocrinology of reproduction in the human female. Am J Phys Anthropol. 2009;140 Suppl 49:95-136. doi: 10.1002/ajpa.21195.
PMID: 19890865BACKGROUNDJasienska G, Ellison PT. Energetic factors and seasonal changes in ovarian function in women from rural Poland. Am J Hum Biol. 2004 Sep-Oct;16(5):563-80. doi: 10.1002/ajhb.20063.
PMID: 15368604BACKGROUNDLorenz TK, Heiman JR, Demas GE. Testosterone and immune-reproductive tradeoffs in healthy women. Horm Behav. 2017 Feb;88:122-130. doi: 10.1016/j.yhbeh.2016.11.009. Epub 2016 Nov 17.
PMID: 27865788BACKGROUNDLorenz TK, Demas GE, Heiman JR. Interaction of menstrual cycle phase and sexual activity predicts mucosal and systemic humoral immunity in healthy women. Physiol Behav. 2015 Dec 1;152(Pt A):92-8. doi: 10.1016/j.physbeh.2015.09.018. Epub 2015 Sep 21.
PMID: 26394125BACKGROUNDAlvergne A, Hogqvist Tabor V. Is Female Health Cyclical? Evolutionary Perspectives on Menstruation. Trends Ecol Evol. 2018 Jun;33(6):399-414. doi: 10.1016/j.tree.2018.03.006. Epub 2018 May 16.
PMID: 29778270BACKGROUNDMunro MG, Critchley HOD, Fraser IS; FIGO Menstrual Disorders Committee. Corrigendum to "The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions" [Int J Gynecol Obstet 143(2018) 393-408.]. Int J Gynaecol Obstet. 2019 Feb;144(2):237. doi: 10.1002/ijgo.12709. Epub 2018 Nov 27. No abstract available.
PMID: 30609040BACKGROUNDVitzthum VJ. Field methods and strategies for assessing female reproductive functioning. Am J Hum Biol. 2021 Sep;33(5):e23513. doi: 10.1002/ajhb.23513. Epub 2020 Oct 6.
PMID: 33022128BACKGROUNDGregory S, Denham SG, Lee P, Simpson JP, Homer NZM. Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population. Metabolites. 2023 Feb 13;13(2):265. doi: 10.3390/metabo13020265.
PMID: 36837884BACKGROUNDMcDade TW, Burhop J, Dohnal J. High-sensitivity enzyme immunoassay for C-reactive protein in dried blood spots. Clin Chem. 2004 Mar;50(3):652-4. doi: 10.1373/clinchem.2003.029488. No abstract available.
PMID: 14981035BACKGROUNDMcDade TW, Williams S, Snodgrass JJ. What a drop can do: dried blood spots as a minimally invasive method for integrating biomarkers into population-based research. Demography. 2007 Nov;44(4):899-925. doi: 10.1353/dem.2007.0038.
PMID: 18232218BACKGROUNDMcDade TW. Development and validation of assay protocols for use with dried blood spot samples. Am J Hum Biol. 2014 Jan-Feb;26(1):1-9. doi: 10.1002/ajhb.22463. Epub 2013 Oct 15.
PMID: 24130128BACKGROUNDFontana R, Della Torre S. The Deep Correlation between Energy Metabolism and Reproduction: A View on the Effects of Nutrition for Women Fertility. Nutrients. 2016 Feb 11;8(2):87. doi: 10.3390/nu8020087.
PMID: 26875986BACKGROUNDVitzthum VJ, Bentley GR, Spielvogel H, Caceres E, Thornburg J, Jones L, Shore S, Hodges KR, Chatterton RT. Salivary progesterone levels and rate of ovulation are significantly lower in poorer than in better-off urban-dwelling Bolivian women. Hum Reprod. 2002 Jul;17(7):1906-13. doi: 10.1093/humrep/17.7.1906.
PMID: 12093859BACKGROUNDTshomo T, Gurung MS, Shah S, Gil-Cuesta J, Maes P, Wangdi R, Tobden J. Menstrual Hygiene Management-Knowledge, Attitudes, and Practices Among Female College Students in Bhutan. Front Reprod Health. 2021 Aug 27;3:703978. doi: 10.3389/frph.2021.703978. eCollection 2021.
PMID: 36303967BACKGROUNDLi K, Urteaga I, Wiggins CH, Druet A, Shea A, Vitzthum VJ, Elhadad N. Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. NPJ Digit Med. 2020 May 26;3:79. doi: 10.1038/s41746-020-0269-8. eCollection 2020.
PMID: 32509976BACKGROUNDLenton EA, Landgren BM, Sexton L, Harper R. Normal variation in the length of the follicular phase of the menstrual cycle: effect of chronological age. Br J Obstet Gynaecol. 1984 Jul;91(7):681-4. doi: 10.1111/j.1471-0528.1984.tb04830.x.
PMID: 6743609BACKGROUNDWindham GC, Elkin EP, Swan SH, Waller KO, Fenster L. Cigarette smoking and effects on menstrual function. Obstet Gynecol. 1999 Jan;93(1):59-65. doi: 10.1016/s0029-7844(98)00317-2.
PMID: 9916957BACKGROUNDJukic AM, Weinberg CR, Baird DD, Wilcox AJ. Lifestyle and reproductive factors associated with follicular phase length. J Womens Health (Larchmt). 2007 Nov;16(9):1340-7. doi: 10.1089/jwh.2007.0354.
PMID: 18001191BACKGROUNDKato I, Toniolo P, Koenig KL, Shore RE, Zeleniuch-Jacquotte A, Akhmedkhanov A, Riboli E. Epidemiologic correlates with menstrual cycle length in middle aged women. Eur J Epidemiol. 1999 Oct;15(9):809-14. doi: 10.1023/a:1007669430686.
PMID: 10608360BACKGROUNDFenster L, Quale C, Waller K, Windham GC, Elkin EP, Benowitz N, Swan SH. Caffeine consumption and menstrual function. Am J Epidemiol. 1999 Mar 15;149(6):550-7. doi: 10.1093/oxfordjournals.aje.a009851.
PMID: 10084244BACKGROUNDCole SK, Billewicz WZ, Thomson AM. Sources of variation in menstrual blood loss. J Obstet Gynaecol Br Commonw. 1971 Oct;78(10):933-9. doi: 10.1111/j.1471-0528.1971.tb00208.x. No abstract available.
PMID: 5111902BACKGROUND
Related Links
- Ellison, P. T. Reproductive Ecology and Human Evolution. (Aldine de Gruyter, 2001)
- New survey shows 'deep-rooted' taboos around periods. (2022)
- Children's Hospital of Philadelphia. Period Poverty: The Public Health Crisis We Don't Talk About. (2021)
- Valvaikar, K. \& Shah, H. An urban-rural comparison of menstrual pattern and menstrual problems among school-going girls. Int J Med Sci Public Health. 5, 2086. (2016)
Biospecimen
Saliva and dried blood spot
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Alexandra ALVERGNE, PhD
Institute of Evolutionary Science of Montpellier (ISEM)
- STUDY CHAIR
Noémie RANISAVLJEVIC, MD
University Montpellier hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- ECOLOGIC OR COMMUNITY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 16, 2025
First Posted
June 25, 2025
Study Start
September 1, 2025
Primary Completion (Estimated)
July 1, 2029
Study Completion (Estimated)
July 1, 2029
Last Updated
November 28, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
- Time Frame
- * Start Date: 6 months after publication of primary results * End Date: 5 years after data availability begins
- Access Criteria
- Qualified researchers with a scientifically and ethically sound proposal will be eligible to access the de-identified individual participant data (IPD) and supporting documents, including the study protocol, statistical analysis plan, informed consent form, and analytic code
De-identified individual participant data (IPD) will be made available to other researchers upon reasonable request, following publication of the main study results. Data sharing will be subject to approval by the study steering committee and may require a data-sharing agreement to ensure compliance with GDPR and ethical guidelines