Postpartum symptom clusters in birthing individuals: A systematic review

Identification of postpartum symptom informedness and preparedness typologies and their associations with psychological health: A latent class analysis

BACKGROUND

Birthing parents, defined as postpartum women and people with various gender identities who give birth, commonly experience challenging postpartum symptoms. However, many report feeling uninformed and unprepared to navigate their postpartum health.

OBJECTIVE

To identify typologies of postpartum symptom informedness and preparedness using latent class analysis (LCA) and to examine the associated patient and healthcare characteristics.

METHODS

We used survey data from a large, multi-method, longitudinal research project Postnatal Safety Learning Lab. Participants were recruited using convenience sampling and enrolled between November 2020 and June 2021. LCA was used to identify subgroups of birthing parents with different symptom informedness and preparedness using 10 binary variables (N = 148). Bivariate analysis was conducted to examine the association between characteristics and each typology.

FINDINGS

The 3-class models had better fit indices and interpretability for both informedness and preparedness typologies: High, High-moderate, and Moderate-low. The sample characteristics were different by typologies. In the modified discrimination in medical settings assessment, we found higher discrimination scores in the moderate-low informedness and preparedness typologies. The moderate-low preparedness typology had a higher percentage of birthing parents who did not have private insurance, underwent cesarean section, and planned for formula or mixed infant feeding. The median PHQ-4 scores at 4 weeks postpartum were lower among those in high informedness and preparedness typologies.

CONCLUSION

In our sample, 18 to 21 % of birthing parents were in the moderate-low informedness or preparedness typologies. Future research and practice should consider providing tailored information and anticipatory guidance as a part of more equitable and supportive care.

Maternal Psychological Symptom Trajectories From 2 to 24 Months Postpartum: A Latent Class Growth Analysis

BACKGROUND

Postpartum women experience an array of psychological symptoms that are associated with adverse health behaviors and outcomes including postpartum suicidal ideation and long-term depression. To provide early management of postpartum psychological symptoms, it is important to understand how the symptom experiences change over time.

OBJECTIVE

The aim of this study was to examine maternal psychological symptom trajectories over 2, 6, 15, and 24 months postpartum using latent class growth analysis and to examine how each trajectory is associated with maternal depression outcome at 24 months.

METHODS

We used secondary data from the Family Life Project ( N = 1,122) and performed multitrajectory latent class growth analysis based on four observed symptom variables (depression, anxiety, somatization, and hostility). After the final model was identified, bivariate analyses were conducted to examine the association between each trajectory and (a) individual characteristics and (b) outcome (Center for Epidemiologic Studies Depression Scale [CES-D]) variables.

RESULTS

A four-class model was selected for the final model because it had better fit indices, entropy, and interpretability. The four symptom trajectories were (a) no symptoms over 24 months, (b) low symptoms over 24 months, (c) moderate symptoms increasing over 15 months, and (d) high symptoms increasing over 24 months. More postpartum women with the trajectory of high symptoms increasing over 24 months (Trajectory 4) were in low economic status (92.16%), unemployed (68.63%), or did not complete 4-year college education (98.04%). Most postpartum women (95.56%) in Trajectory 4 also had higher CES-D cutoff scores, indicating a possible clinical depression at 24 months postpartum.

DISCUSSION

Postpartum women who experience increasing symptom trajectories over 15-24 months (Trajectories 3 and 4) could benefit from tailored symptom management interventions provided earlier in the postpartum period to prevent persistent and worsening symptom experiences.

Changes in maternal psychological symptom profiles from 2 to 6 months postpartum: an application of latent transition analysis

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.

Identification of postpartum symptom subgroups and associated long-term maternal depressive symptoms and well-being

Many postpartum women experience postpartum symptoms which often occur in clusters (i.e., three or more co-occurring symptoms that are related to each other). To date, research has focused on individual symptoms, which limits our understanding of how postpartum symptom clusters manifest and influence health. This secondary analysis used the Community and Child Health Network study data (N = 1784). No patient or public directly participated or contributed to the current analysis. Guided by the Symptom Management Theory, latent class analysis was performed to identify subgroups of postpartum women with different symptom experiences using observed variables at 6 months postpartum: anxiety (MINI-anxiety), general stress (PSS-10), posttraumatic stress (PCL-C), postpartum depression (EPDS), sleep disturbance (PSQI-sleep disturbance), and sleep duration (PSQI-sleep duration). Bivariate and multiple regression analyses were conducted to examine the association between subgroups and (a) individual characteristics and (b) long-term depressive symptoms (CES-D-9) and well-being at 18 and/or 24 months postpartum. Five subgroups were selected that had better-fit indices, entropy, and interpretability. Subgroups were labeled as (1) Minimum overall, (2) Mild-moderate overall, (3) Moderate-high sleep symptoms, (4) High psychological symptoms, and (5) High overall. After adjusting for covariates, postpartum women in Subgroups 4 and 5 had higher CES-D-9 scores at 18 and 24 months and lower well-being scores at 24 months. More postpartum women in Subgroups 4 and 5 experienced a history of depression or unemployment. Clinicians should provide targeted interventions for postpartum women in high-symptom subgroups.

Positive affect improves a transdiagnostic model of perinatal depression symptoms

INTRODUCTION

Accurate measurement of perinatal depression is vital. We aimed to 1) test whether a factor that measured positive affect (PA) bettered a transdiagnostic model of depression symptoms and 2) replicate the model in a second sample.

METHODS

We conducted secondary analyses from two samples (n's = 657 and 142) of women in treatment at perinatal psychiatric clinics. Data were derived from items from seven commonly used measures. We compared fit indices from our original factor model-one general and six specific factors derived from the Research Domain Criteria (Loss, Potential Threat, Frustrative Nonreward, and Sleep-Wakefulness) and depression literatures (Somatic and Coping)-to our novel factor model with a PA factor. The PA factor was created by recategorizing items that measured affective states with a positive valence into a new factor. Sample 1 data were split into six perinatal periods.

RESULTS

In both samples, the addition of a PA factor improved model fit. At least partial metric invariance was found between perinatal periods, with the exception of trimester 3 - postpartum period 1.

LIMITATIONS

Our measures did not operationalize PA in the same way as in the positive valence system in RDoC and we were unable to perform longitudinal analyses on our cross-validation sample.

CONCLUSIONS

Clinicians and researchers are encouraged to consider these findings as a template for understanding symptoms of depression in perinatal patients, which can be used to guide treatment planning and the development of more effective screening, prevention, and intervention tools to prevent deleterious outcomes.