This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2871) Use and User Demographics of mHealth (335) Depression and Mood Disorders; Suicide Prevention (1363) Perinatal Depression; Postpartum Depression; PPD (94) Perinatal Education for Parents (219) Pregnancy Information, Education and Lifestyle Interventions (300)

Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11508, first published .
The Association Between the Use of Antenatal Care Smartphone Apps in Pregnant Women and Antenatal Depression: Cross-Sectional Study

The Association Between the Use of Antenatal Care Smartphone Apps in Pregnant Women and Antenatal Depression: Cross-Sectional Study

The Association Between the Use of Antenatal Care Smartphone Apps in Pregnant Women and Antenatal Depression: Cross-Sectional Study

Authors of this article:

Yushi Mo1 Author Orcid Image ;   Wenjie Gong1 Author Orcid Image ;   Joyce Wang1 Author Orcid Image ;   Xiaoqi Sheng2 Author Orcid Image ;   Dong R Xu3 Author Orcid Image
Article Authors Cited by (20) Tweetations (2) Metrics

Journals

  1. Porras-Segovia A, Díaz-Oliván I, Gutiérrez-Rojas L, Dunne H, Moreno M, Baca-García E. Apps for Depression: Are They Ready to Work?. Current Psychiatry Reports 2020;22(3) View
  2. Hu Y, Wang Y, Wen S, Guo X, Xu L, Chen B, Chen P, Xu X, Wang Y. Association between social and family support and antenatal depression: a hospital-based study in Chengdu, China. BMC Pregnancy and Childbirth 2019;19(1) View
  3. Brusniak K, Arndt H, Feisst M, Haßdenteufel K, Matthies L, Deutsch T, Hudalla H, Abele H, Wallwiener M, Wallwiener S. Challenges in Acceptance and Compliance in Digital Health Assessments During Pregnancy: Prospective Cohort Study. JMIR mHealth and uHealth 2020;8(10):e17377 View
  4. Dosani A, Arora H, Mazmudar S. mHealth and Perinatal Depression in Low-and Middle-Income Countries: A Scoping Review of the Literature. International Journal of Environmental Research and Public Health 2020;17(20):7679 View
  5. ÜNLÜ G, GÜNGÖR İ. ANTENATAL DÖNEMDE MOBİL SAĞLIK HİZMETLERİ. İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi 2020;8(3):919 View
  6. Carissoli C, Gasparri D, Riva G, Villani D. Mobile well-being in pregnancy: suggestions from a quasi-experimental controlled study. Behaviour & Information Technology 2022;41(8):1639 View
  7. Guo J, Zheng A, He J, Ai M, Gan Y, Zhang Q, Chen L, Liang S, Yu X, Kuang L. The prevalence of and factors associated with antenatal depression among all pregnant women first attending antenatal care: a cross-sectional study in a comprehensive teaching hospital. BMC Pregnancy and Childbirth 2021;21(1) View
  8. Chen X, Jiang L, Chen Y, Guo L, Zhu X. Analysis of online antenatal education class use via a mobile terminal app during the COVID-19 pandemic. BMC Pregnancy and Childbirth 2022;22(1) View
  9. Zhang Z, Yu J, Zeng W, Zhou M, Duan C, Zhu L. Association between antenatal depression and adverse perinatal outcomes: a prospective cohort study. Journal of Affective Disorders 2023;323:490 View
  10. DEMİR YILDIRIM A, YILMAZ ESENCAN T, GÜDER A, DAŞTAN K. EBELİK ALANINDA KULLANILAN MOBİL SAĞLIK UYGULAMALARI. Karya Journal of Health Science 2023;4(2):174 View
  11. Wang R, Cong S, Sha L, Sun X, Zhu R, Feng J, Wang J, Tang X, Zhao D, Zhu Q, Fan X, Ren Z, Zhang A. Association Between Social Networking Site Use Intensity and Depression Among Chinese Pregnant Women: Cross-sectional Study. Journal of Medical Internet Research 2023;25:e41793 View
  12. Novick A, Kwitowski M, Dempsey J, Cooke D, Dempsey A. Technology-Based Approaches for Supporting Perinatal Mental Health. Current Psychiatry Reports 2022;24(9):419 View
  13. Cevik A, Onat Koroglu C, Karacam Z, Gokyildiz Surucu S, Alan S. Effects of the Covid-19 Pandemic on the Prevalence of Insomnia, Anxiety, and Depression During Pregnancy: A Systematic Review and Meta-Analysis. Clinical Nursing Research 2022;31(8):1405 View
  14. Haßdenteufel K, Lingenfelder K, Schwarze C, Feisst M, Brusniak K, Matthies L, Goetz M, Wallwiener M, Wallwiener S. Evaluation of Repeated Web-Based Screening for Predicting Postpartum Depression: Prospective Cohort Study. JMIR Mental Health 2021;8(12):e26665 View
  15. Andreu‐Pejó L, Martínez‐Borba V, Osma López J, Suso‐Ribera C, Crespo Delgado E. Perinatal mental e‐health: What is the profile of pregnant women interested in online assessment of their emotional state?. Nursing Open 2023;10(2):901 View
  16. PAZARÖZYURT A, ÖZKAN H. Gebelerin Sağlık Okuryazarlığı ile Öz Bakım Gücü Arasındaki İlişkinin Değerlendirilmesi. Halk Sağlığı Hemşireliği Dergisi 2023;5(1):91 View
  17. Schmidt-Hantke J, Jacobi C, Ayatollahi H. Investigating perspectives on e-health interventions to enhance maternal mental well-being: Results of a stakeholder interview. PLOS Digital Health 2023;2(8):e0000326 View
  18. Wang Y, Gu J, Zhang F, Xu X. Path analysis of influencing factors for maternal antenatal depression in the third trimester. Scientific Reports 2024;14(1) View
  19. Allen K, Rodriguez S, Hayani L, Rothenberger S, Moses-Kolko E, Simhan H, Krishnamurti T. Digital phenotyping of depression during pregnancy using self-report data. Journal of Affective Disorders 2024;364:231 View