Ngj has analyzed over 2,000 tampons from 335 patients to understand the menstrual kinetics, enabling it to build bioinformatic approaches to account for natural variability and better stratify. We review exposures influencing the menstrual cycle, evidence underlying its use to optimize wellness, … We review external exposures that can … See how your cycles are linked to your whole … · smartphone apps that track menstrual cycles are a ‘gold mine’ for consumer profiling, collecting information on everything from exercise, diet and medication to sexual … Menstrual cycle tacking apps (mctas) assist users in observing their menstrual cycle and related signs and symptoms, as well as managing their fertility [3]. Using cycle tracking and survey data from the apple women’s health study (awhs), we explored and evaluated potential differences in menstrual cycle length and variability by age, weight, race, and ethnicity. · we describe how the menstrual cycle is a health indicator, associated with long-term health outcomes, and used to optimize wellness. Grounded in a commitment to evidence-based policy and practice, we discuss the promises—and the perils—of different sources of data about menstruation and how to put them to better use. · what selection biases might exist that could affect the results of analyses for the relationships between womens characteristics, environmental exposures, the characteristics … · the menstrual cycle can provide valuable health information. This review describes how the menstrual cycle is a health indicator, can cyclically impact health conditions, and its associations with long-term post-menopausal health outcomes. · improve health and quality of life for everyone who has periods so remember, learning about your own cycle can help you: Mctas give users more control … However, concerns related to menstruation (eg, pain, heavy bleeding, and irregular menstrual cycles) are …
Menstrual Cycle Data The Hidden Link To Better Health Outcomes
Ngj has analyzed over 2,000 tampons from 335 patients to understand the menstrual kinetics, enabling it to build bioinformatic approaches to account for natural variability...
