A1 Refereed original research article in a scientific journal
A Descriptive Comparative Pilot Study: Association Between Use of a Self-monitoring Device and Sleep and Stress Outcomes in Pregnancy
Authors: Auxier Jennifer, Asgari Mehrabadi Milad, Rahmani Amir M, Axelin Anna
Publisher: Lippincott Williams & Wilkins
Publication year: 2022
Journal: CIN: Computers Informatics Nursing
Journal name in source: Computers, informatics, nursing : CIN
Journal acronym: Comput Inform Nurs
ISSN: 1538-2931
eISSN: 1538-9774
DOI: https://doi.org/10.1097/CIN.0000000000000958
Web address : https://journals.lww.com/cinjournal/Fulltext/9900/A_Descriptive_Comparative_Pilot_Study__Association.60.aspx
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/178646022
Pregnancy is a challenging time for maintaining quality sleep and managing stress. Digital self-monitoring technologies are popular because of assumed increased patient engagement leading to an impact on health outcomes. However, the actual association between wear time of such devices and improved sleep/stress outcomes remains untested. Here, a descriptive comparative pilot study of 20 pregnant women was conducted to examine associations between wear time (behavioral engagement) of self-monitoring devices and sleep/stress pregnancy outcomes. Women used a ring fitted to their finger to monitor sleep/stress data, with access to a self-monitoring program for an average of 9½ weeks. Based on wear time, participants were split into two engagement groups. Using a linear mixed-effects model, the high engagement group showed higher levels of stress and a negative trend in sleep duration and quality. The low engagement group showed positive changes in sleep duration, and quality and experienced below-normal sleep onset latency at the start of the pilot but trended toward normal levels. Engagement according to device wear time was not associated with improved outcomes. Further research should aim to understand how engagement with self-monitoring technologies impacts sleep/stress outcomes in pregnancy.
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