Effectiveness of cognitive behavioral therapy for perinatal maternal depression, anxiety and stress: A systematic review and meta-analysis of randomized controlled trials.

Cognitive behavioral therapy (CBT) has been widely studied in prenatal or postnatal depression, with much less research on anxiety and stress. This meta-analysis aims to comprehensively evaluate CBT efficacy for perinatal depression, anxiety and stress in the short term (from baseline to immediately post-intervention) and in the long term (from baseline to the end of follow-up). Five databases were searched. We included 79 randomized controlled trials (RCTs) and quasi-RCTs assessing the efficacy of CBT during pregnancy and the first year postpartum. Primary outcome was the mean score change in depression, anxiety and stress. CBT-only and CBT plus other interventions were effective for perinatal maternal depression in the short term (SMD -0.69, 95% CI: -0.83, -0.55) and long term (SMD -0.59, 95% CI -0.75, -0.42). CBT-only had both short- and long-term efficacy for perinatal anxiety (short term: SMD -0.63, 95% CI -0.85, -0.42; long term: SMD -0.71, 95% CI -1.02, -0.39) and short-term efficacy for perinatal stress (SMD -0.96, 95% CI -1.40, -0.52). Overall, CBT was effective for perinatal maternal depression, anxiety and stress. CBT-only exhibited short-term efficacy for perinatal depression, anxiety and stress, and long-term efficacy for perinatal depression and anxiety. Subgroup analyses suggested that CBT-only was effective across a wide variety of modalities.

Effect of Natural Disaster-Related Prenatal Maternal Stress on Child Development and Health: A Meta-Analytic Review.

The evidence supporting the idea that natural disaster-related prenatal maternal stress (PNMS) influences the child's development has been accumulating for several years. We conducted a meta-analytical review to quantify this effect on different spheres of child development: birth outcomes, cognitive, motor, physical, socio-emotional, and behavioral development. We systematically searched the literature for articles on this topic (2756 articles retrieved and 37 articles included in the systematic review), extracted the relevant data to calculate the effect sizes, and then performed a meta-analysis for each category of outcomes (30 articles included across the meta-analyses) and meta-regressions to determine the effect of some factors of interest on the association between PNMS and child development: type of PNMS (objective, psychological, cognitive, diet), type of natural disaster (ice storm, flood/cyclone), type of report (maternal, third-party observer, medical), timing of exposure (preconception exposure included or not) and child age at assessment (under 10 or 10 years and older). We found that PNMS significantly influences all spheres of child development. Higher PNMS levels were associated with longer gestational age, larger newborns, and higher BMI and adiposity levels, as well as worse cognitive, motor, socio-emotional, and behavioral outcomes.

The influence of natural contour and face size on the spatial frequency tuning for identifying upright and inverted faces.

It has previously been proposed that holistic face processing is based on low spatial frequencies (SFs) whereas featural processing relies on higher SFs, a hypothesis still widespread in the face processing literature today (e.g. Peters et al. in Eur J Neurosci 37(9):1448-1457, 2013). Since upright faces are supposedly recognized through holistic processing and inverted faces, using features, it is easy to take the leap to suggest a qualitatively different SF tuning for the identification of upright and vs. inverted faces. However, two independent studies (e.g. Gaspar et al. in Vision Res 48(28):2817-2826, 2008; Willenbockel et al. in J Exp Psychol Human 36(1):122-135, 2010a) found the same SF tuning for both stimulus presentations. Since these authors used relatively small faces hiding the natural facial contour, it is possible that differences in the SF tuning for identifying upright and inverted faces were missed. The present study thus revisits the SF tuning for upright and inverted faces face identification using the SF Bubbles technique. Our results still indicate that the same SFs are involved in both upright and inverted face recognition regardless of these additional parameters (contour and size), thus contrasting with previous data obtained using different methods (e.g. Oruc and Barton in J Vis 10(12):20, 1-12, 2010). The possible reasons subtending this divergence are discussed.