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Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants
Published on: June 13, 2021
A bioecological longitudinal study of depressive symptoms from pregnancy to 36 months postpartum
Nicolette C Molina1, Anna M Zhou2, Parisa R Kaliush3
1Department of Psychology, University of Oregon, Eugene, OR, United States of America.
Insights
Prenatal bioecological factors like low respiratory sinus arrhythmia and high stress impact perinatal depression. Stress during pregnancy predicted a decrease in depressive symptoms postpartum.
Area of Science:
- Perinatal Mental Health
- Developmental Psychology
- Bioecological Systems Theory
Background:
- Perinatal depression presents significant risks for parents and offspring.
- Increasing prevalence necessitates research into contributing factors and symptom trajectories.
- Bioecological systems theory provides a framework for understanding development within nested environmental contexts.
Purpose of the Study:
- To investigate prenatal bioecological factors predicting depressive symptoms from pregnancy to 36 months postpartum.
- To examine the influence of physiological functioning and life stress on perinatal depression trajectories.
Main Methods:
- Longitudinal multimethod study with 162 pregnant individuals, oversampled for emotion dysregulation.
- Data collection included life stress interviews, physiological assessments (respiratory sinus arrhythmia), and depression self-reports at five time points.
- Multilevel models were employed to analyze depressive symptom trajectories.
Main Results:
- Depressive symptoms were highest during the third trimester, with significant individual variability over time.
- Lower resting respiratory sinus arrhythmia (RSA) in the third trimester correlated with higher concurrent depressive symptoms.
- Increased stress from partner relationships, finances, and health was associated with higher prenatal depression and a subsequent decrease in symptoms.
Conclusions:
- Multilevel predictors are crucial for understanding and addressing perinatal depression.
- Findings highlight potential targets for interventions aimed at preventing depression and promoting well-being during the perinatal transition.
- The study did not assess the macrosystem, a limitation in the bioecological framework.
Purpose:
Depressive symptoms during the perinatal period have broad and enduring health implications for birthing parents and their offspring. Rising prevalence rates of perinatal depression highlight the need for research examining factors influencing depressive symptoms during pregnancy, and trajectories during the early postnatal period. Grounded in bioecological systems theory, this longitudinal multimethod study examined whether prenatal bioecological factors predict depressive symptoms from pregnancy to 36 months postpartum.
Methods:
Participants were 162 pregnant individuals, oversampled for high emotion dysregulation, who completed a life stress interview and physiological assessment during the 3rd trimester and a self-report measure of depression at five time-points (3rd trimester, within 48 h of birth, 7, 18, and 36 months postpartum). Multilevel models were used to test study aims.
Results:
Participants exhibited the highest levels of depressive symptoms at 3rd trimester, and substantial variability in depressive symptom trajectories over time. Lower resting respiratory sinus arrhythmia (RSA), an index of parasympathetic nervous system functioning, in the 3rd trimester was associated with higher concurrent depressive symptoms. Higher levels of stress related to partner relationships, finances, and health were concurrently associated with more depressive symptoms during pregnancy and decreases in depressive symptoms over time. Specifically, depressive symptoms decreased only for individuals who reported high levels of stress during pregnancy.
Limitations:
Although grounded in bioecological systems theory, this study did not assess the macrosystem.
Conclusions:
Results of this study underscore the importance of multilevel predictors of perinatal health and highlights potential targets for preventing depression and promoting well-being during the perinatal transition.
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