Apple Women's Health Study
The Apple Women’s Health Study is the first long-term research study of this scale and scope that aims to advance the understanding of menstrual cycles and their relationship to various health conditions.
Welcome to the Apple Women’s Health Study
Who are we?
In the first study of its kind, the Harvard T.H. Chan School of Public Health has teamed up with Apple and the National Institute of Environmental Health Sciences (NIEHS) to gain a deeper understanding of how certain demographic and lifestyle factors could have an impact on menstrual cycles and gynecologic conditions including infertility, menopause, and polycystic ovary syndrome (PCOS). The cycle tracking data from your iPhone and/or Apple Watch (optional), along with participants’ survey responses, will help inform the development of innovative products for menstrual cycles, risk assessment, and screening of gynecologic conditions.
Research effort you can join
Making the world a healthier place just got a lot easier. Now you can contribute to groundbreaking research studies simply by using your iPhone and/or Apple Watch (optional for joining the study). Your participation in the Apple Women’s Health Study will enable innovative research that would have been impossible before now. We invite you to join one or more studies to make your mark on human health.
Privacy
Designed for your privacy
Nothing is more personal than your health information. Keeping it confidential and secure is as important to us as it is to you. What you choose to share and with which research studies, is controlled entirely by you. Any collected data will be encrypted on your device. Once shared with us, your data is stored securely in a system within Apple designed to meet the technical safeguard requirements of the Health Insurance Portability and Accountability Act (HIPAA). Apple will not have access to any contact information or other identifying data that you provide through the Research app. You can withdraw from any study at any time, which will end any future data collection.