Dataset from PregSource: Crowdsourcing to Understand Pregnancy

The objective of PregSource: Crowdsourcing to Understand Pregnancy (PregSource) was: to better understand the range of physical and emotional experiences and alterations in behavior that women have during pregnancy and after giving birth, the impact of these experiences on women's lives, and the perinatal challenges encountered by special sub-populations of women.\n\nPregSource used a longitudinal, crowd-sourcing, citizen science approach, asking pregnant women regularly and directly about their pregnancies. Participants entered information throughout gestation and the early infancy of their babies into online surveys and trackers via a website and/or mobile application ("app"). Participants could also complete online trackers for data on mood, activity level, sleep, morning sickness, and weight gain. A separate tracker was available for collecting information about any medications, vitamins, and other supplements taken during your pregnancy or the post-partum period.\n\nPregSource was designed as a data collection effort, with the dataset intended to be made available to the scientific community for multiple analyses of interest. The PregSource dataset includes multiple potential outcome measures, including, but not limited to:\n\nPrimary Outcomes\n\nGestational age at delivery\nNewborn birth weight\nMaternal gestational weight gain\nPregnancy complications\n\nPossible Secondary Outcomes\n\nPatterns of nausea and vomiting in pregnancy\nExercise levels in pregnancy\nMaternal mood\nMedication use in pregnancy