{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:57:19Z","timestamp":1782845839739,"version":"3.54.5"},"reference-count":31,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Ment Health"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Objectives<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n 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\n P<\/jats:italic>\n <.001), nausea and vomiting (69.7% vs 52.7%; adjusted\n P<\/jats:italic>\n <.001), and stomach cramping and abdominal pain (64.0% vs 50.4%; adjusted\n P<\/jats:italic>\n <.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\n P<\/jats:italic>\n =.007), hypertension (10.9% vs 3.9%; adjusted\n P<\/jats:italic>\n <.001), eating disorder (7.7% vs 3.1%; adjusted\n P<\/jats:italic>\n <.001), and heart disease (2.8% vs 0.5%; adjusted\n P<\/jats:italic>\n <.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\n P<\/jats:italic>\n =.016) and preeclampsia (9.2% vs 5.5%; adjusted\n P<\/jats:italic>\n =.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%;\n P<\/jats:italic>\n <.001).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/70151","type":"journal-article","created":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T08:55:06Z","timestamp":1741942506000},"page":"e70151-e70151","source":"Crossref","is-referenced-by-count":1,"title":["Using the PowerMom Digital Health Platform to Support Prenatal Mental Health and Maternal Health Outcomes: Observational Cohort Study"],"prefix":"10.2196","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5540-2264","authenticated-orcid":false,"given":"Giulia","family":"Milan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6129-1663","authenticated-orcid":false,"given":"Victoria","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6470-6537","authenticated-orcid":false,"given":"Matteo","family":"Gadaleta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6005-8824","authenticated-orcid":false,"given":"Lauren","family":"Ariniello","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3157-1003","authenticated-orcid":false,"given":"Arij","family":"Faksh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2208-7912","authenticated-orcid":false,"given":"Giorgio","family":"Quer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5739-4918","authenticated-orcid":false,"given":"Toluwalase","family":"Ajayi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,5,22]]},"reference":[{"key":"R1","unstructured":"Clarke D Ludmila DF Alpert JE The Perinatal Mental Health Advisory PanelThe Perinatal Mental Health Research Team. Perinatal Mental and Substance Use Disorder: White Paper. American Psychiatric Association; 2023. URL: https:\/\/www.psychiatry.org\/maternal [Accessed 17-04-2025]"},{"key":"R2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.620371","article-title":"Postpartum depression: current status and possible identification using biomarkers","volume":"12","author":"Yu","journal-title":"Front Psychiatry"},{"issue":"1","key":"R3","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-021-01245-6","article-title":"Early identification of postpartum depression using demographic, clinical, and digital phenotyping","volume":"11","author":"Hahn","journal-title":"Transl Psychiatry"},{"issue":"3","key":"R4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.psym.2017.11.005","article-title":"Postpartum depression screening tools: a review","volume":"59","author":"Ukatu","journal-title":"Psychosomatics"},{"issue":"5","key":"R5","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1097\/00006199-199609000-00008","article-title":"A meta-analysis of predictors of postpartum depression","volume":"45","author":"Beck","journal-title":"Nurs Res"},{"issue":"1","key":"R6","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s00737-018-0880-8","article-title":"Postnatal depressive symptoms in women with and without antenatal depressive symptoms: results from a prospective cohort study","volume":"22","author":"Pampaka","journal-title":"Arch Womens Ment Health"},{"issue":"3","key":"R7","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1097\/01.AOG.0000135277.04565.e9","article-title":"Implications of antenatal depression and anxiety for obstetric outcome","volume":"104","author":"Andersson","journal-title":"Obstet Gynecol"},{"issue":"2","key":"R8","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1111\/j.1547-5069.2003.00119.x","article-title":"Psychosocial factors related to nausea, vomiting, and fatigue in early pregnancy","volume":"35","author":"Chou","journal-title":"J Nurs Scholarsh"},{"key":"R9","unstructured":"PowerMom. Scripps research. URL: https:\/\/www.scripps.edu\/support-us\/powermom\/ [Accessed 21-07-2023]"},{"key":"R10","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-018-0052-2","article-title":"The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app","volume":"1","author":"Radin","journal-title":"NPJ Digit Med"},{"key":"R11","unstructured":"Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health. Neighborhood atlas. 2021. URL: https:\/\/www.neighborhoodatlas.medicine.wisc.edu\/ [Accessed 03-12-2023]"},{"key":"R12","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2431-13-59","article-title":"A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants","volume":"13","author":"Fenton","journal-title":"BMC Pediatr"},{"issue":"2","key":"R13","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/s0022-3476(67)80066-0","article-title":"A practical classification of newborn infants by weight and gestational age","volume":"71","author":"Battaglia","journal-title":"J Pediatr"},{"issue":"5","key":"R14","doi-asserted-by":"publisher","first-page":"e208","DOI":"10.1097\/AOG.0000000000002927","article-title":"ACOG Committee Opinion No. 757: Screening for Perinatal Depression","volume":"132","journal-title":"Obstet Gynecol"},{"issue":"6","key":"R15","doi-asserted-by":"publisher","first-page":"1232","DOI":"10.1097\/AOG.0000000000005200","article-title":"Screening and 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