Apple Announces Study on Women's Menstrual Cycles Measured by iPhone and Apple Watch

Harvard T.H. Chan School of Public Health Apple Women's Health Study Team
Conducted with 10,000 Women Aged 18 and Older in the United States

[Asia Economy Reporter Minyoung Cha] Apple has announced research results related to women's menstrual cycles based on data measured by iPhone and Apple Watch.

Apple Newsroom reported on the 9th that the Apple Women's Health Research Team at Harvard T.H. Chan School of Public Health released preliminary research results on menstrual cycles based on information from more than 10,000 female participants aged 18 and older in the United States.

This Apple Women's Health research was conducted through Apple's Research app. Participants easily took part in the study using their personal iPhones or Apple Watches. Participants from diverse racial backgrounds including Black, Hispanic, and White took part, and the study was conducted extensively across the United States.

Analysis of participants showed that they experienced various menstrual symptoms. The most frequently recorded symptoms were cramping abdominal pain, bloating, and fatigue, with over 60% of participants who recorded symptoms reporting similar experiences.

Some less commonly known symptoms, such as diarrhea and changes in sleep cycles, were experienced by 37% of participants who recorded these symptoms.

Michelle Williams, Dean of Harvard T.H. Chan School of Public Health, stated, "Our research will contribute to realizing a more gender-equal future where everyone experiencing menstrual cycles can access the health services and menstrual products they need to feel reassured and empowered as they wish." Dr. Sumbul Desai, Apple's Vice President of Health, also evaluated, "These research results represent a step forward in validating menstrual symptoms and removing the stigma associated with them."

The research team plans to conduct detailed studies including methodological analysis based on the preliminary data and submit them for peer review and publication in academic journals.

This content was produced with the assistance of AI translation services.