Skip to main content

Digitally Phenotyping Pregnancy

Digitally Phenotyping Pregnancy

medical-cross
Lactation
user
Female
person-wave 18+
world
Recruiting now

Overview

Principal Investigator: Ashley Peterson, MD

This research aims to bridge the gap between breastfeeding guidelines and real-world practices by focusing on maternal well-being, lifestyle, and social factors. Digital phenotyping techniques are used to monitor key factors like sleep, mood, and social support, to identify predictors of breastfeeding success.The findings could lead to personalized interventions to improve breastfeeding outcomes and overall maternal and child health.

Study details

Inclusion Criteria
  • - Pregnant
    - English speaking
  • - Gestational age: 14-27 6/7 weeks
    - Regular access to Wi-fi
  • -Owns a smartphone
Exclusion Criteria
  • -Anxiety or depression
    - Pregnant with multiples
  • - Unable to consent
    - Unable to wear a smartwatch
  • - Medically unable to breastfeed
Study Requirements

Participants will be in the study for about 18 weeks (up to 26 weeks depending on delivery date). During this time, they will: - Complete three surveys: one at the start of the study, one after delivery, and one six weeks postpartum. - Share passive data from their smartphone and smartwatch. - Complete daily ecological momentary assessments (brief mood surveys). - Log their babys feeding, sleep, and tummy time using the Huckleberry app after birth. Participants will be compensated for passive data collection and survey completion, up to a maximum of $450.

Jump back to top