Investigating Maternal Stress, Depression, and Breastfeeding: A Pregnancy Risk Assessment Monitoring System (2016-2019) Analysis.
Shubhecchha DhauraliVickie DugatTayler WhittlerShikhar ShresthaMarwah KianiMaria Gabriela RuizIman AliCourtney EngeNdidiamaka Amutah-OnukaghaPublished in: Healthcare (Basel, Switzerland) (2023)
Breastfeeding is invaluable for postpartum physical healing and mental wellbeing, but psychosocial stress and depression impede such recovery processes. To inform future interventions and policies, associations between breastfeeding, maternal stress, and depression were examined. Data from the Pregnancy Risk Assessment Monitoring System (PRAMS) were analyzed (2016-2019). Logistic regression models were used to calculate adjusted odds ratios with 95% confidence intervals. Of the total sample ( n = 95,820), approximately 88% of participants attempted breastfeeding. Our findings indicate that participants who experienced any form of stress had a slightly higher likelihood of breastfeeding compared to those without stress. Specifically, partner-related and financial-related stressors were significantly associated with increased odds of breastfeeding. However, no significant associations were observed trauma-related or emotional-related stressors and breastfeeding. Additionally, no significant association was found between depression at different stages (preconception, prenatal, and postpartum) and breastfeeding. A significant interaction effect was noted between having experienced any of the 13 stressors and Black race/ethnicity on breastfeeding odds. Similarly, significant interaction effects were observed between partner-related, trauma, financial, or emotional stressors and Black race/ethnicity. These findings emphasize the importance of considering various factors when promoting breastfeeding in diverse populations, and screening for psychosocial stress during postpartum visits. Our study recommends tailoring breastfeeding interventions to address the needs of Black mothers which could significantly improve maternal health and breastfeeding outcomes.
Keyphrases
- preterm infants
- risk assessment
- mental health
- depressive symptoms
- healthcare
- public health
- pregnancy outcomes
- stress induced
- type diabetes
- preterm birth
- pregnant women
- body mass index
- metabolic syndrome
- machine learning
- social media
- men who have sex with men
- heat stress
- human health
- adipose tissue
- trauma patients
- health information