Changes in maternal psychological symptom profiles from 2 to 6 months postpartum: an application of latent transition analysis.
Jihye Kim ScrogginsDebra H BrandonKarin Reuter-RiceSe Hee MinQing YangPublished in: Archives of women's mental health (2023)
To identify subgroups of postpartum women with different psychological symptom profiles at 2 and 6 months postpartum and to examine how they transition between symptom profiles over time using latent transition analysis (LTA). We used secondary data from the Family Life Project (N = 1,117) and performed LTA based on observed variables (depression, anxiety, somatization, and hostility). We examined transition probabilities and changes in latent status prevalence from 2 to 6 months postpartum. Considering the known influences of social determinants of health on psychological symptoms, bivariate analyses were conducted to describe the characteristics of different transition patterns. A 3-class model with better fit indices, entropy, and interpretability was selected. Based on symptom severity, the identified profiles were Profile 1: Low, Profile 2: Moderate, and Profile 3: High. From 2 to 6 months postpartum, the prevalence of low symptom profile decreased (82 to 78.2%) while the prevalence increased for moderate (15.8 to 17.5%) and high symptom profiles (2.2 to 4.4%). For all profiles, it was most likely for postpartum women to stay in the same profile from 2 to 6 months (low to low, moderate to moderate, and high to high). Those in persistent or worsening transition patterns were significantly younger or had less social support or education. Postpartum women in moderate or high symptom profiles at 2 months were most likely to stay in the same profile at 6 months postpartum, indicating persistent symptom burden. Clinicians should consider providing early, targeted support to prevent persistent symptom burden.
Keyphrases
- social support
- patient reported
- risk factors
- high intensity
- depressive symptoms
- healthcare
- sleep quality
- public health
- polycystic ovary syndrome
- mental health
- quality improvement
- metabolic syndrome
- artificial intelligence
- drug delivery
- skeletal muscle
- cancer therapy
- deep learning
- climate change
- insulin resistance
- electronic health record
- weight gain
- breast cancer risk