In order to understand the impacts in the post-disaster scenario of the 2017 El Niño events in the Piura region-Peru, we examined post-traumatic stress disorder (PTSD), food insecurity (FI), and social capital (SC) across three-time points in mothers in highly affected areas. In the Piura, Castilla, and Catacaos districts, we studied mothers combining mixed-method assessments at three (June-July 2017), eight and 12 months after the flooding. Each outcome was measured with the PTSD-Checklist-Civilian (PCL-C), the Household-Food-Insecurity-Access-Scale (HFIAS), the Adapted-Social-Capital-Assessment-Tool (SASCAT) surveys. In-depth interviews at the first evaluation were also conducted. At the first evaluation, 38.1% (n = 21) of 179 mothers reported PTSD; eight months and one year after the flooding, it dropped to 1.9% and virtually zero, respectively. Severe FI also declined over time, from 90.0% three months after the flooding to 31.8% eight months after, to 13.1% one year after. Conversely, high-cognitive SC was increased three months after the flooding (42.1%) and much greater levels at eight and 12 months after (86.7% and 77.7%, respectively). High levels of PTSD and severe FI three months after the flooding consistently decreased to nearly zero one-year post-disaster. High levels of high-cognitive SC may have helped mothers to recover from PTSD and FI in Piura.
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http://dx.doi.org/10.1371/journal.pgph.0002996 | DOI Listing |
Eur J Psychotraumatol
December 2025
Altrecht Academic Anxiety Center, Altrecht GGZ, Utrecht, the Netherlands.
Psychotherapeutic interventions aimed at treating posttraumatic stress disorder (PTSD) in adolescents and young adults are hampered by high dropout rates. Looking at the results from adult treatments, short, intensive, outpatient treatment programmes may offer a promising alternative, but it has yet to be tested in this young population. To assess the results of a six-day intensive outpatient trauma-focused treatment programme for young individuals (12-25 years) with PTSD.
View Article and Find Full Text PDFJ Zhejiang Univ Sci B
July 2024
Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou 310003, China.
Acute stress disorder (ASD) is a transient psychiatric disorder that may arise subsequent to abrupt, extreme trauma exposure, and serves as a reliable indicator for the subsequent development of posttraumatic stress disorder (PTSD) (Bryant, 2011; Battle, 2013). It exhibits rapid progression in the aftermath of trauma and persists for a duration of days or weeks (not exceeding one month), manifesting symptoms of dissociation, re-experiencing, avoidance, and hyperarousal (Bielas et al., 2018).
View Article and Find Full Text PDFResusc Plus
January 2025
University of Colorado, Children's Hospital Colorado, Aurora, CO, USA.
Background: Resuscitation of paediatric cardiac and respiratory arrest is a high-stakes and low frequency event in the paediatric emergency department. Resuscitation team performance assessment tools have been developed and validated for use in the simulation environment, but no tool currently exists to evaluate clinical performance in non-simulated, live paediatric resuscitations.
Methods: This is a validation study assessing inter-rater reliability of a novel assessment tool of clinical performance of non-simulated resuscitations, the Team Resuscitation for Paediatrics tool.
Microscopy (Oxf)
January 2025
Department of Biomedical Data Science, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan.
Large-scale reconstitution of neuronal circuits from volumetric electron microscopy images is a remarkable research goal in neuroanatomy. However, the large-scale reconstruction is a result of automatic segmentation using convolutional neural networks (CNNs), which is still challenging for general researchers to perform. This review focuses on two representative CNNs for dense neuronal segmentation: flood-filling networks (FFN) and local shape descriptors (LSD)-predicting U-Net (LSD network).
View Article and Find Full Text PDFGrey mullets (family Mugilidae) are widespread across coastal, brackish, and freshwater habitats, and have supported fisheries for millennia. Despite their global distribution and commercial value, little is known about their movement ecology and its role in the co-existence of sympatric mullet species. Gaps in knowledge about migratory behaviour, seasonal occurrence, and movement scales have also impeded effective management, highlighting the need for further research.
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