The Associations of Psychologic and Physiologic Manifestations of Parental Stress in Critical Congenital Heart Disease.
Amy Jo LisantiAbigail DemianczykMaria G VogiatziRyan QuinnJesse ChittamsRebecca HoffmanBarbara Medoff-CooperPublished in: Biological research for nursing (2022)
Background : The primary objective of this exploratory, feasibility study was to examine the relationships of self-reported perceived stressors and psychological stress responses with measures of the biomarker cortisol in parents of infants hospitalized after neonatal cardiac surgery for critical congenital heart disease (cCHD). Methods : This was a prospective, cross-sectional study of 28 biological mother-father dyads of neonates with cCHD using consecutive enrollment. In the postoperative period after neonatal cardiac surgery, parents provided awakening and diurnal saliva samples and self-report measures on stress, anxiety, depression, dyadic adjustment, and perceived severity of illness of their neonate. Results : Evaluable data, including salivary cortisol samples, were obtained for 27 of the 28 dyads enrolled in the study. Compared to fathers, mothers exhibited significantly higher mean cortisol values at wakeup ( p = .032), 30-minute post-wakeup ( p = .024), and bedtime ( p = .010) timepoints. Anxiety and depressive symptoms were both significant predictors of awakening cortisol measures. Depressive symptoms were also a predictor of diurnal cortisol ( p < .05). Stress arising from infant appearance and behavior was found to significantly predict cortisol awakening response ( p = .0403). Conclusions : Findings suggest that cortisol may be an important biomarker in the examination of parent stress in the pediatric cardiac intensive care unit (PCICU), serving as a foundation for future study in this area. Furthermore, we have provided preliminary evidence of feasibility of including saliva collection in studies of highly stressed parents in a challenging environment.
Keyphrases
- depressive symptoms
- congenital heart disease
- cardiac surgery
- sleep quality
- social support
- intensive care unit
- physical activity
- acute kidney injury
- stress induced
- patients undergoing
- healthcare
- heart failure
- big data
- electronic health record
- young adults
- machine learning
- left ventricular
- heat stress
- health insurance
- mechanical ventilation