Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.

T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).

PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).

PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.

To examine the influence of prenatal artificial sweetener (AS) consumption on birth outcomes.

Systematic review and meta-analysis.

Online databases (Medline, CINAHL, Embase, Cochrane Library, Scopus, Web of Science, FSTA – the food resource database, and ClinicalTrials.gov) were searched up to 9 April 2020. Studies of all designs (except case studies and reviews) were eligible, which contained information on the relevant population (pregnant women), intervention/exposure (any AS consumption), comparator (no AS consumption) and birth outcomes (preterm delivery, gestational age, birth weight).

From 677 citations, ten cohort studies and one randomised controlled trial (n 138 007 women) were included. ‘Low’ to ‘very low’ certainty evidence revealed that daily consumption of AS was associated with an increased risk of preterm delivery (three studies, n 129 009; risk ratio = 1·18, 95 % CI 1·09, 1·28, I2 = 9 %), a 24 g increase in birth weight (three studies, n 64 417; mean difference (MD): 23·74 g, 95 % CI 0·89, 45·58, I2 = 0 %) and a 0·11 week decrease in gestational age (three studies, n 64 417; MD: –0·11 weeks, 95 % CI –0·19, –0·03, I2 = 0 %).

‘Low’ to ‘very low’ certainty evidence suggests daily AS consumption during pregnancy is associated with an increased risk of preterm delivery, increased birth weight and decreased gestational age. Additional ‘high’-quality research is urgently needed to further assess these relationships.

PROSPERO registration number: CRD42019136728.

In the foothills of the Cumberland Mountains, in central Appalachia (a region that spans 13 states in the US), sits an economically distressed and rural community of the United States. Once a thriving coal-mining area, this region now is reported as one of the hardest places to live in the US. Southeastern Kentucky, located in a remote, rocky, mountainous area surrounded by rivers and valleys and prone to flooding, experienced a major flood in Spring 2013 causing significant damage to homes and critical infrastructure.

Aims of the study were to: (1) identify and better understand the contextual variables compounding the impact of a disaster event that occurred in Spring 2013; (2) identify ways participants managed antecedent circumstances, risk, and protective factors to cope with disaster up to 12 months post-event; and (3) further determine implications for community-focused interventions that may enhance recovery for vulnerable populations to promote greater outcomes of adaptation, wellness, and readiness.

Using an ethnographic mixed-methods approach, an inter-collaborative team conducted face-to-face interviews with (N=12) Appalachian residents about their disaster experience, documented observations and visual assessment of need on an observation tool, and used photography depicting structural and environmental conditions. A Health and Emergency Preparedness Assessment Survey Tool was used to collect demographic, health, housing, environment, and disaster readiness assessment data. Community stakeholders facilitated purposeful sampling through coordination of scheduled home visits.

Triangulation of all data sources provided evidence that the community had unique coping strategies related to faith and spirituality, cultural values and heritage, and social support to manage antecedent circumstances, risk, and protective factors during times of adversity that, in turn, enhanced resilience up to 12 months post-disaster. The community was found to have an innate capacity to persevere and utilize resources to manage and transcend adversity and restore equilibrium, which reflected components of resilience that deserve greater recognition and appreciation.

Resilience is a foundational concept for disaster science. A model of resilience for the rural Appalachia community was developed to visually depict the encompassing element of community-based interventions that may enhance coping strategies, mitigate risk factors, integrate protective factors, and strengthen access. Community-based interventions are recommended to strengthen resilience, yielding improved outcomes of adaptation, health and wellness, and disaster readiness.

BanksLH , DavenportLA , HayesMH , McArthurMA , ToroSN , KingCE , VaziraniHM . Disaster Impact on Impoverished Area of US: An Inter-Professional Mixed Method Study. Prehosp Disaster Med. 2016;31(6):583–592.