Predicting depressive symptoms after miscarriage: a path analysis based on the Lazarus paradigm

Area of Science:

• Psychology
• Obstetrics & Gynecology
• Mental Health

Background:

• Miscarriage affects 20% of pregnancies, with inconsistent findings on risk factors for depressive responses.
• Understanding predictors of postpartum depression after miscarriage is crucial for targeted interventions.

Purpose of the Study:

• To develop and validate a theory-based path model for predicting depressive symptom intensity in women post-miscarriage.
• To identify specific contextual, appraisal, and coping variables influencing emotional responses to pregnancy loss.

Main Methods:

• Utilized Lazarus's theory of emotions and adaptation to construct a path model.
• Employed path analysis with stepwise multiple regression on a sample of 174 women experiencing early pregnancy loss.
• Examined variables including gestational age, prior losses, social support, coping styles, and perceived significance.

Main Results:

• The model explained 63% of the variance in depressive symptoms at 4 months and 54% at 1 year post-miscarriage.
• High personal significance attributed to miscarriage, low social support, and passive coping were significant predictors.
• Lower emotional strength, lower income, and absence of subsequent pregnancy/birth by 1 year also increased depression risk.

Conclusions:

• The Lazarus model effectively predicts depressive symptoms following miscarriage.
• Identifying at-risk women through factors like perceived significance, social support, and coping strategies allows for tailored mental health support.
• Early intervention strategies should address social support, coping mechanisms, and the psychological impact of pregnancy loss.