Juliana Arantes Figueiredo de Paula Eduardo1, Marcos Gonçalves de Rezende2, Paulo Rossi Menezes3, Cristina Marta Del-Ben2. 1. Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Brazil. Electronic address: jufigue@usp.br. 2. Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Brazil. 3. Department of Preventive Medicine, Faculdade de Medicina, University of São Paulo, Brazil.
Abstract
BACKGROUND: This systematic review aimed to critically analyze the studies that explored preterm birth as risk factor for postpartum depression in the last 10 years. METHODS: Two independent researchers performed a systematic review of indexed studies in PubMed/Medline, Web of Science and PsycInfo database. The PRISMA for reporting systematic review model was used to conduct data extraction. A meta-analysis was performed including a sub-group of studies. RESULTS: The final sample consisted of 26 studies and 12 were included in the meta-analysis. Most of the studies supported the association between preterm birth (PTB) and postpartum depression (PPD). However, 8 studies did not find such association and, even among studies with positive findings, results were heterogeneous, given the methodological discrepancies among the studies. The meta-analysis provided evidence of higher risk for PPD among mothers of preterm infants in assessments performed up to 24 weeks after childbirth. LIMITATIONS: Most of the studies did not consider the role of important confounding variables, such as previous history of depression. Heterogeneity of assessment tools and cut-off scores were also considered a limitation. CONCLUSIONS: Further prospective population-based studies with an integrative approach of PPD are needed to provide consistent evidence of such association. Important confounding variables and biological measures implicated in PPD should be considered. Our findings highlight the importance of maternal mental health care in this target population, as preterm birth experience seem to affect both babies and mothers. We encourage PPD assessment for mothers of preterm infants, especially in the early postpartum period.
BACKGROUND: This systematic review aimed to critically analyze the studies that explored preterm birth as risk factor for postpartum depression in the last 10 years. METHODS: Two independent researchers performed a systematic review of indexed studies in PubMed/Medline, Web of Science and PsycInfo database. The PRISMA for reporting systematic review model was used to conduct data extraction. A meta-analysis was performed including a sub-group of studies. RESULTS: The final sample consisted of 26 studies and 12 were included in the meta-analysis. Most of the studies supported the association between preterm birth (PTB) and postpartum depression (PPD). However, 8 studies did not find such association and, even among studies with positive findings, results were heterogeneous, given the methodological discrepancies among the studies. The meta-analysis provided evidence of higher risk for PPD among mothers of preterm infants in assessments performed up to 24 weeks after childbirth. LIMITATIONS: Most of the studies did not consider the role of important confounding variables, such as previous history of depression. Heterogeneity of assessment tools and cut-off scores were also considered a limitation. CONCLUSIONS: Further prospective population-based studies with an integrative approach of PPD are needed to provide consistent evidence of such association. Important confounding variables and biological measures implicated in PPD should be considered. Our findings highlight the importance of maternal mental health care in this target population, as preterm birth experience seem to affect both babies and mothers. We encourage PPD assessment for mothers of preterm infants, especially in the early postpartum period.
Authors: Juliana Arantes Figueiredo de Paula Eduardo; Felipe Pinheiro Figueiredo; Marcos Gonçalves de Rezende; Daiane Leite da Roza; Stella Felippe de Freitas; Rosangela Fernandes Lucena Batista; Antônio Augusto Moura da Silva; Marco Antônio Barbieri; Ricardo Carvalho Cavalli; Heloisa Bettiol; Alexandre Archanjo Ferraro; Cristina Marta Del-Ben Journal: Arch Womens Ment Health Date: 2022-07-18 Impact factor: 4.405
Authors: Danielle Roubinov; Rashelle J Musci; Alison E Hipwell; Guojing Wu; Hudson Santos; Jennifer N Felder; Sabrina Faleschini; Elisabeth Conradt; Cindy T McEvoy; Barry M Lester; Claudia Buss; Amy J Elliott; José F Cordero; Annemarie Stroustrup; Nicole R Bush Journal: Arch Womens Ment Health Date: 2022-06-16 Impact factor: 4.405
Authors: Rebecca Waller; Sara L Kornfield; Lauren K White; Barbara H Chaiyachati; Ran Barzilay; Wanjikũ Njoroge; Julia Parish-Morris; Andrea Duncan; Megan M Himes; Yuheiry Rodriguez; Jakob Seidlitz; Valerie Riis; Heather H Burris; Raquel E Gur; Michal A Elovitz Journal: Arch Womens Ment Health Date: 2022-08-28 Impact factor: 4.405
Authors: Mark Ettenberger; Łucja Bieleninik; Shulamit Epstein; Cochavit Elefant Journal: Int J Environ Res Public Health Date: 2021-02-10 Impact factor: 3.390