Mobile device data for the study of miscarriage and its causes.

npj women's health Pub Date : 2026-01-01 Epub Date: 2026-03-02 DOI:10.1038/s44294-026-00129-8
Jenna Nobles, Lindsay Cannon, Sungsik Hwang, Shannon Malloy, Katie Noddin, Allen J Wilcox
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Abstract

Miscarriage is a common pregnancy complication that is difficult to study. Using information on 580,000 US pregnancies from a menstrual- and pregnancy-tracking app, we demonstrate that mobile device data can detect miscarriage and replicate patterns of miscarriage risk found in high-quality Norwegian administrative data and in US clinical cohorts. App data may greatly expand research on miscarriage, including the contributions of "upstream" social, economic, and environmental factors that have eluded study.

Abstract Image

Abstract Image

研究流产及其原因的移动设备数据。
流产是一种常见的妊娠并发症,研究难度较大。利用来自月经和妊娠跟踪应用程序的58万例美国孕妇的信息,我们证明了移动设备数据可以检测流产,并复制高质量挪威行政数据和美国临床队列中发现的流产风险模式。App数据可能会极大地扩展对流产的研究,包括“上游”社会、经济和环境因素的贡献,这些因素尚未得到研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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