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Major depressive episode in mothers during the Covid-19 pandemic

A population-based study in the Southern Brazil

Bibliographic Data

ID5167325
AuthorsF T Coelho (0000-0002-6999-9807, Universidade Católica de Pelotas), Carolina Coelho Scholl (0000-0001-6174-4781, Universidade Católica de Pelotas), Jéssica Puchalski Trettim (0000-0001-5795-2318, Universidade Católica de Pelotas), Jaqueline Buzetto Silveira (0000-0001-8762-5756, Universidade Católica de Pelotas), Demian Bezerra De Mello (0000-0002-1537-7615, Universidade Católica de Pelotas), Martha Rodrigues Dos Santos (0000-0001-7802-5898, Universidade Católica de Pelotas), Lidiane Aguiar Ferreira (0000-0003-3343-318X, Universidade Católica de Pelotas), R S Stigger (0000-0003-4431-467X, Universidade Católica de Pelotas), Mariana Bonati De Matos (0000-0003-1196-7228, Universidade Católica de Pelotas), Ricardo Tavares Pinheiro (0000-0001-9796-3126, Universidade Católica de Pelotas), Luciana De Avila Quevedo (0000-0001-6883-4333, Universidade Católica de Pelotas)
Year2022
Volume38
Issue4
PagesEN281521-EN281521
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311xen281521
PMID35544875
OpenAlexW4285169743
SCIELO_PIDS0102-311X2022000406001
LanguageEN
References cited12

The COVID-19 pandemic has changed individuals and families, causing adverse psychological effects, especially in young adults, women, and parents. This study aimed to verify the prevalence of current major depressive episode (CMDE) in mothers of preschoolers (up to five years old) and its associated stressors during the COVID-19 pandemic in a municipality in the Southern Brazil. This is a cross-sectional, population-based study with mothers. All mothers were interviewed by telephone call during the COVID-19 pandemic. We used the Mini-International Neuropsychiatric Interview (M.I.N.I. Plus) to assess the presence of CMDE. Statistical analysis was conducted using the chi-square test and a multivariate logistic regression. We evaluated 666 mothers. The prevalence of CMDE was 12.3%. Mothers with financial losses had 2.1 (95%CI: 1.3-3.4) more odds of presenting CMDE than those financially stable. We observed that financial losses were determinant for the higher prevalence of depression in mothers

Coronavirus disease 2019 (COVID-19) · Cross-sectional study · Depression (economics) · Environmental health · Logistic regression · Multivariate analysis · Odds · Odds ratio · Pandemic · Population · Psychiatry · Sociology · Stressor · COVID-19 and Mental Health · Demography · Digital Mental Health Interventions · Maternal Mental Health During Pregnancy and Postpartum · Medicine · Psychology

  • Mini International Neuropsychiatric Interview (Mini)

    Open Access•Patricia Amorim, Patrícia Brandão Amorim•Brazilian Journal of Psychiatry•2000

  • Covid-19 and mental health in Brazil

    Open Access•Jéferson Ferraz Goularte, Silvia Dubou Serafim et al.•Journal of Psychiatric Research•2021

  • Mental health before and during the Covid-19 pandemic in two longitudinal UK population cohorts

    Open Access•Alex S F Kwong, Rebecca M Pearson et al.•The British Journal of Psychiatry•2021

  • The psychological impact of quarantine and how to reduce it

    Open Access•Samantha K Brooks, Rebecca K Webster et al.•The Lancet•2020

  • Anxiety, depression and PTSD among children and their parent during 2019 novel coronavirus disease (Covid-19) outbreak in China

    Open Access•Jinming Yue, Xueyan Zang et al.•Current Psychology•2022

  • Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (Covid-19) Epidemic among the General Population in China

    Open Access•Cuiyan Wang, Riyu Pan et al.•International Journal of…•2020

  • Depression and Anxiety in Hong Kong during Covid-19

    Open Access•Edmond Pui Hang Choi, Bryant P H Hui et al.•International Journal of…•2020

Citation velocityhistorical
Highly citedNo
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