Giulia Milan, Victoria Lee, Matteo Gadaleta, Lauren Ariniello, Arij Faksh, Giorgio Quer, Toluwalase Ajayi
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引用次数: 0
Abstract
Background: Mental health disorders such as anxiety and depression are common among individuals of childbearing age. Such disorders can affect pregnancy and postpartum well-being. This study aims to study the impact of prenatal mental health on the pregnancy journey and highlights the use of mobile health technologies such as PowerMom for symptom tracking and screening.
Objectives: We collected data in a decentralized digital trial using the PowerMom platform to investigate the impact of maternal mental health throughout pregnancy. The goal was to understand how anxiety and depression influence pregnancy-related symptoms, pregnancy outcomes, and postpartum well-being.
Methods: Survey data were collected via PowerMom, a bilingual mobile research platform that integrates patient-reported outcomes, wearable data, and electronic health records. Participants were divided into 2 cohorts: those who reported receiving treatment for anxiety or depression during pregnancy (n=571) and those who reported not receiving treatment (n=1505). We compared self-reported symptoms, prepregnancy conditions, complications from past pregnancies, delivery outcomes, and postpartum mental health between cohorts, using the Fisher exact test and the Kruskal-Wallis test for statistical analysis.
Results: Participants receiving treatment for anxiety or depression reported higher instances of physical symptoms than those untreated, with significant differences for 13 symptoms including fatigue (80.2% vs 65.4%; adjusted P<.001), nausea and vomiting (69.7% vs 52.7%; adjusted P<.001), and stomach cramping and abdominal pain (64.0% vs 50.4%; adjusted P<.001). Participants receiving treatment also had a higher prevalence of several conditions prior to pregnancy than those not receiving treatment, with significant differences noted in 4 out of 10 conditions: endometriosis (14.0% vs 8.8%; adjusted P=.007), hypertension (10.9% vs 3.9%; adjusted P<.001), eating disorder (7.7% vs 3.1%; adjusted P<.001), and heart disease (2.8% vs 0.5%; adjusted P<.001). Participants receiving treatment also reported a higher prevalence of complications in past pregnancies than those not receiving treatment, with significant differences noted in 2 out of 7 complications: high blood pressure (9.9% vs 5.8%; adjusted P=.016) and preeclampsia (9.2% vs 5.5%; adjusted P=.021). No significant differences were observed in mode of delivery, epidural use, stillbirth, and miscarriage rates between the 2 cohorts. Postpartum, treated participants reported significantly higher mental health composite scores, indicating more severe mental health symptoms. A higher percentage of treated participants were at high risk for having perinatal mood disorder (38/83, 45.8%) than untreated participants (36/196, 18.4%; P<.001).
Conclusions: The PowerMom platform demonstrated its value in facilitating remote, scalable data collection for maternal mental health research. Pregnant individuals reporting treatment for anxiety or depression experienced more physical symptoms and worse postpartum mental health outcomes than untreated individuals. These findings underscore the potential for mobile health technologies to support future interventional studies aimed at improving maternal mental health outcomes during pregnancy.
背景:心理健康障碍如焦虑和抑郁在育龄人群中很常见。这些疾病会影响怀孕和产后的健康。本研究旨在研究产前心理健康对怀孕过程的影响,并强调使用移动医疗技术(如PowerMom)进行症状跟踪和筛查。目的:我们使用PowerMom平台在分散的数字试验中收集数据,调查孕期孕产妇心理健康的影响。目的是了解焦虑和抑郁如何影响妊娠相关症状、妊娠结局和产后健康。方法:通过双语移动研究平台PowerMom收集调查数据,该平台集成了患者报告的结果、可穿戴数据和电子健康记录。参与者被分为两组:报告在怀孕期间接受焦虑或抑郁治疗的(n=571)和报告未接受治疗的(n=1505)。我们使用Fisher精确检验和Kruskal-Wallis检验进行统计分析,比较各组之间自我报告的症状、孕前状况、既往妊娠并发症、分娩结果和产后心理健康。结果:接受焦虑或抑郁治疗的参与者报告的身体症状发生率高于未接受治疗的参与者,其中有13种症状存在显著差异,包括疲劳(80.2% vs 65.4%;结论:PowerMom平台在促进孕产妇心理健康研究的远程、可扩展数据收集方面显示了其价值。报告接受焦虑或抑郁治疗的孕妇比未接受治疗的孕妇经历了更多的身体症状和更差的产后心理健康结果。这些发现强调了移动卫生技术在支持未来旨在改善怀孕期间孕产妇心理健康结果的介入性研究方面的潜力。
期刊介绍:
JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175).
JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.