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Preterm Labor in PregSource: Crowdsourcing to Understand Pregnancy

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NIAID Data Ecosystem2026-05-01 收录
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https://dash.nichd.nih.gov/dataset/424975
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Survey capturaing information regarding preterm labor Study Description 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. PregSource 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. PregSource 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: Primary Outcomes Gestational age at delivery Newborn birth weight Maternal gestational weight gain Pregnancy complications Possible Secondary Outcomes Patterns of nausea and vomiting in pregnancy Exercise levels in pregnancy Maternal mood Medication use in pregnancy 2350 total participants (2345 identified as Female and 5 did not identify), from 18 to 70 years of age, that completed informed consent and account registration on the PregSource online registry
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2023-09-05
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