Mindfulness-Based Interventions During Pregnancy and Long-Term Effects on Postpartum Depression and Maternal Mental Health: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Objectives: Preventing postpartum depression (PPD) is a public health goal. The scientific literature has demonstrated the short-term efficacy of Mindfulness-Based Interventions (MBIs) delivered during pregnancy on PPD. Nevertheless, the long-term outcomes of MBIs are still unclear. Design: Systematic review and meta-analysis of randomized controlled trials (RCTs). Four databases were searched to identify RCTs focused on describing the efficacy of MBIs on PPD and published in English up to February 2022. Settings/Location: The study was conducted globally. Subjects: Pregnant women who received MBIs. Interventions: MBIs were delivered during pregnancy in the included RCTs. Outcome Measures: Data collection and analysis effect size were combined using a random-effects model. The reporting in this study was consistent with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Results: Six studies were included. The overall effect size significantly reduced PPD symptoms severity in the MBI group versus the control group in the first 3 months after childbirth (standardized mean difference = -0.26; 95% confidence interval = -0.51 to -0.01; I2 = 30.65%). The effects of MBIs were significant in women who started MBIs with a low risk of developing PPD. Conclusions: MBIs delivered during pregnancy have long-term benefits for PPD. Implications for Practice: Further studies focused on testing MBIs starting during pregnancy and lasting over the postpartum and modulating the intensity of delivering MBIs based on the risk for developing PPD are needed to inform the practice with solid evidence.

A hierarchical procedure to select intrauterine and extrauterine factors for methodological validation of preterm birth risk estimation.

BACKGROUND: Etiopathogenesis of preterm birth (PTB) is multifactorial, with a universe of risk factors interplaying between the mother and the environment. It is of utmost importance to identify the most informative factors in order to estimate the degree of PTB risk and trace an individualized profile. The aims of the present study were: 1) to identify all acknowledged risk factors for PTB and to select the most informative ones for defining an accurate model of risk prediction; 2) to verify predictive accuracy of the model and 3) to identify group profiles according to the degree of PTB risk based on the most informative factors. METHODS: The Maternal Frailty Inventory (MaFra) was created based on a systematic review of the literature including 174 identified intrauterine (IU) and extrauterine (EU) factors. A sample of 111 pregnant women previously categorized in low or high risk for PTB below 37 weeks, according to ACOG guidelines, underwent the MaFra Inventory. First, univariate logistic regression enabled p-value ordering and the Akaike Information Criterion (AIC) selected the model including the most informative MaFra factors. Second, random forest classifier verified the overall predictive accuracy of the model. Third, fuzzy c-means clustering assigned group membership based on the most informative MaFra factors. RESULTS: The most informative and parsimonious model selected through AIC included Placenta Previa, Pregnancy Induced Hypertension, Antibiotics, Cervix Length, Physical Exercise, Fetal Growth, Maternal Anxiety, Preeclampsia, Antihypertensives. The random forest classifier including only the most informative IU and EU factors achieved an overall accuracy of 81.08% and an AUC of 0.8122. The cluster analysis identified three groups of typical pregnant women, profiled on the basis of the most informative IU and EU risk factors from a lower to a higher degree of PTB risk, which paralleled time of birth delivery. CONCLUSIONS: This study establishes a generalized methodology for building-up an evidence-based holistic risk assessment for PTB to be used in clinical practice. Relevant and essential factors were selected and were able to provide an accurate estimation of degree of PTB risk based on the most informative constellation of IU and EU factors.