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Mental health among pregnant women during the pandemic in Sweden, a mixed methods approach using data from the Mom2B mobile application for research
Emma Fransson; Maria Karalexi; Mary Kimmel; Emma Brann; Natasa Kollia; Vera van Zoest; Eira Nordling; Fotios C Papadopoulos; Alkistis Skalkidou.
Afiliação
  • Emma Fransson; 1. Department of Women?s and Children?s health, Uppsala University, 751 85 Uppsala, Sweden, 2. Centre for Translational Microbiome Research, Department of Micro
  • Maria Karalexi; 1. Department of Women?s and Children?s health, Uppsala University, 751 85 Uppsala, Sweden, 3. Department of Hygiene and Epidemiology, School of Medicine, Unive
  • Mary Kimmel; 1. Department of Women?s and Children?s health, Uppsala University, 751 85 Uppsala, Sweden 4. Department of Psychiatry, University of North Carolina at Chapel H
  • Emma Brann; 1. Department of Women?s and Children?s health, Uppsala University, 751 85 Uppsala, Sweden
  • Natasa Kollia; 5. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17676 Athens, Greece
  • Vera van Zoest; 6. Department of Information Technology, Uppsala University, 752 37 Uppsala, Sweden
  • Eira Nordling; 1. Department of Women?s and Children?s health, Uppsala University, 751 85 Uppsala, Sweden
  • Fotios C Papadopoulos; 7. Department of Neuroscience, Uppsala university, 751 85 Uppsala, Sweden
  • Alkistis Skalkidou; 1. Department of Women?s and Children?s health, Uppsala University, 751 85 Uppsala, Sweden
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20248466
ABSTRACT
Public health emergencies such as the coronavirus (SARS-CoV-2) pandemic have significant impact on mental health, and have been shown to impact on already prevalent affective disorders during and after pregnancy. The aim of this study was to utilize modern tools to assess depressive and anxiety symptoms, as well as wellbeing and life changes in pregnant women during the pandemic in Sweden, where no lockdown has been in place. Data from the Mom2B, a national ongoing mobile application-based study of pregnant and newly-delivered women were utilized. Participants (n= 1345) filled out self-report screeners of depression, anxiety and wellbeing. Questions about COVID symptoms and effects on life and health care were added from March 2020. Movement data was collected using the phones GPS sensor. Mood scores were compared with throughout the months of 2020 and to the levels of a previous collected material. Highest levels of depression and anxiety were evident in April and October 2020. Symptoms were higher among those feeling socially isolated, but not for those infected or with symptomatic family members. Wellbeing and mobility were strongly positively correlated and were lowest in April. Women reported on cancelled healthcare appointments and worry about their partners being absent from the delivery. The Mom2B application enabled gathering information at a national level in real-time as the pandemic has been evolving. Levels of perinatal affective symptoms and low wellbeing were elevated compared with previous years as well as with months with fewer cases of SARS-Cov-2. Similar applications can help healthcare providers and governmental bodies to in real time monitor high-risk groups during crises, as well as to adjust measures and the support offered. FundingThis project was funded by the Uppsala Region to AS, the Swedish Association of Local Authorities and Regions (SKR) to the department of Obstetrics and Gynecology, Akademiska University Hospital, the Swedish Research Council (Grant number 2020-01965) to AS, as well as the Fredrik and Inger Thurings Foundation to EF.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Experimental_studies / Prognostic_studies / Rct Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Experimental_studies / Prognostic_studies / Rct Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint