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

Theme Issue: Digital Approaches for Pediatric Healthcare Delivery During the Coronavirus (Covid-19) Pandemic (52) Anxiety and Stress Disorders (1660) Infectious Diseases (non-STD/STI) (1956) Pregnancy Information, Education and Lifestyle Interventions (490) Outbreak and Pandemic Preparedness and Management (1978) JMIR Theme Issue: COVID-19 Special Issue (4238) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (552)

Published on in Vol 4, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27733, first published .
Pregnant woman relaxing on sofa, looking at tablet

Changes in Anxiety and Stress Among Pregnant Women During the COVID-19 Pandemic: Content Analysis of a Japanese Social Question-and-Answer Website

Changes in Anxiety and Stress Among Pregnant Women During the COVID-19 Pandemic: Content Analysis of a Japanese Social Question-and-Answer Website

Authors of this article:

Ritsuko Shirabe1 Author Orcid Image ;   Tsuyoshi Okuhara2 Author Orcid Image ;   Rie Yokota1 Author Orcid Image ;   Hiroko Okada2 Author Orcid Image ;   Eiko Goto2 Author Orcid Image ;   Takahiro Kiuchi2 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Choi R, Nagappan A, Kopyto D, Wexler A. Pregnant at the start of the pandemic: a content analysis of COVID-19-related posts on online pregnancy discussion boards. BMC Pregnancy and Childbirth 2022;22(1) View
  2. NAKATA S, HAMA K. Development of a 50-item version of the quality of life scale for pregnant Japanese women: A test of reliability and validity. Journal of Japan Academy of Midwifery 2025;39(1):54 View
  3. Chen J, Zhang J. A systematic literature review of health‐related information on Question and Answer platforms. Journal of the Association for Information Science and Technology 2026 View
  4. Naganawa H. Content associations with answer selection and engagement in supply chain community question answering. Discover Networks 2026;2(1) View