Observing Environmental and Reproductive-Endocrine Effects
This observational study aims to understand how environmental factors, like pollution, diet, and sleep, might affect your body's hormone (endocrine) and reproductive systems. Researchers are looking for people aged 8 and older, assigned male or female at birth, who have conditions like hypogonadism (when your body doesn't produce enough sex hormones), infertility, or other reproductive issues. The study will collect information about your environment and lifestyle, along with your medical care for your condition, to see if there's a connection between these factors and reproductive health. This study is not testing a new treatment, but rather observing and collecting information to help future research.
- Study design
- This is an observational study, meaning researchers will collect information without providing any specific intervention. It plans to enroll 300 participants.
- What's involved
- Adult participants will have 4 to 5 visits over 5 years. Information will be collected at the start and after clinical care for your condition.
- Compensation
- Not stated in the trial record.
- Follow-up
- Information will be collected at baseline and after clinical care for the underlying condition.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Observation of Environment and Reproductive-Endocrine Effects
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Natalie D Shaw, M.D. · PRINCIPAL_INVESTIGATOR · National Institute of Environmental Health Sciences (NIEHS)
Who to contact
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Do you actually qualify for this trial?
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Inclusion
What this trial measures
- Investigate the relationship between environment, lifestyle, and reproductive neuroendocrinology.at baseline and after clinical care for the underlying condition
We will analyze the correlation between internal exposures, and the longitudinal evolution of endocrine disorders. For instance, changes in PSQI (sleep) and DSM-5 (mood) questionnaire scores, research analytes and hormone metrics with treatment.