The Research behind FemDash

Read what the latest studies have found about the correlations between blood glucose levels, insulin sensitivty, and the fine-tuned individuality of menstrual cycles

“The glucose profiles appeared reproducible between cycles in all women, but varied between women.”
"Using health data collected via participants’ iPhones and Apple Watches, the study aims to uncover new information about how demographic and lifestyle factors impact menstrual cycles and gynecologic conditions such as infertility, menopause, and polycystic ovary syndrome."
"When CGM data is supplemented with data from Apple Watch about activity, steps, sleep, and menstrual cycles it becomes a treasure-trove of information for people with diabetes, clinicians and researchers looking to better understand glucose and the effects of glucose on health and performance."
"...we find positive associations between higher food cravings and higher median glucose levels. This study suggests that blood glucose could be an important parameter for understanding menstrual health, prompting further investigation into how the menstrual cycle influences glucose fluctuation."
"Statistically significant high heterogeneity was detected in all subgroups, with different sources of heterogeneity. For predicting precise BG levels, the RMSE increases with a rise in the PH, and the NNM shows the highest relative performance among all the ML models. Meanwhile, current ML models have sufficient ability to predict adverse BG events, while their ability to detect adverse BG events needs to be enhanced."
"Your hormone levels – especially estrogen and progesterone – fluctuate up and down throughout your menstrual cycle. They have a major influence on how you feel and what’s happening in your body. Your hormones can affect your energy levels, mood, appetite and even your skin. "