Dataset Information

Data on resilience and trauma-related symptoms in Lithuanian children victims of violence.

ABSTRACT: The current data article presents a dataset about resilience and trauma-related outcomes in a group of Lithuanian children victims of violence, who took part in a resilience-focused therapy - the Assisted Resilience Approach Therapy (ARAT). The Child Youth Resilience Measure (CYRM-28) and the Trauma Symptom Checklist for Children (TSCC) were administered before and at the end of the treatment. Participants were 65 children (mean age = 13.03; range = 9-17) victims of different types of violence and neglect, referred to 25 day-care centers across Lithuania specialized in child violence. A structural equation modelling (SEM) was performed to test direct relationship between the resilience increase over the treatment and the trauma-related outcomes at the end of it, by controlling the direct effect of trauma-related symptoms at the baseline on the outcomes. This data-in-brief article accompanies the paper: "Resilience and trauma-related outcomes in children victims of violence attending the Assisted Resilience Approach Therapy (ARAT). Children and Youth Services Review." [1].

SUBMITTER: Giordano F

PROVIDER: S-EPMC6660554 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Data on resilience and trauma-related symptoms in Lithuanian children victims of violence.

Giordano F F Ragnoli F F Bruno F Brajda FB

Data in brief 20190228

The current data article presents a dataset about resilience and trauma-related outcomes in a group of Lithuanian children victims of violence, who took part in a resilience-focused therapy - the Assisted Resilience Approach Therapy (ARAT). The Child Youth Resilience Measure (CYRM-28) and the Trauma Symptom Checklist for Children (TSCC) were administered before and at the end of the treatment. Participants were 65 children (mean age = 13.03; range = 9-17) victims of different types of violence a ...[more]

PMID: 31372437

Similar Datasets

Project description:BackgroundPrior research on trauma-exposed preschool children has found various levels of trauma-related stress symptoms depending on age, which might be explained by developmental factors.ObjectiveThis study uses network analysis to extend prior research and compare symptom presentation in younger and older preschoolers in the acute phase (first 4 weeks) following a potentially traumatic event.MethodParent-reported trauma-related acute stress symptoms were assessed using the Pediatric Emotional Distress Scale - Early Screener via www.kidtrauma.com. First, the overall symptom severity and symptom levels were compared between younger (1-3 years) and older (4-6 years) preschoolers. Further, two Gaussian graphical models of stress symptoms in younger (n = 242; M age = 2.3 years; SD age = 0.6 years) and older preschoolers (n = 299; M age = 4.8 years; SD age = 0.7 years) were modelled and compared.ResultsOverall symptom severity did not differ between the groups. Symptom levels for developmental regression and avoidance of talking about the event were higher in older preschoolers. The network structures of the younger and the older preschoolers were largely similar. Highly central symptoms in both networks were trauma-unrelated fear and anger. The connections between fear of reminders and clinginess and trauma-unrelated fear and clinginess were stronger in the older preschoolers' network. The connections between worry and sadness and withdrawal; fear of reminders and creation of games, stories, and pictures; and whininess and clinginess were all stronger in the younger preschoolers' network.ConclusionsTrauma-related stress symptomatology of younger and older preschoolers may not differ greatly in the acute phase. Trauma-unrelated fear and anger seem to be central symptoms in both groups. However, examining symptom-level associations across age groups revealed differential connections that might arise from developmental differences. If replicated in longitudinal and within-subject studies, these findings could help tailor interventions for trauma-exposed preschoolers in the acute phase.

Project description:BackgroundIn Europe, it is estimated that one third of women had experienced at least one physical or sexual violence after their 15. Taking into account the severe health consequences, the Emergency Department (ED), may offer an opportunity to recognize when an aggression is part of the spectrum of violence. This study applies Social Network analysis (SNA) to ED data in the Lazio region with the objective to identify patterns of diagnoses, within all the ED accesses of women experiencing an aggression, that are signals for gender-based violence against women. We aim to develop a risk assessment tool for ED professionals in order to strength their ability to manage victims of violence.MethodsA cohort of 124,691 women aged 15-70 with an ED visit for aggression between 2003 and 2015 was selected and, for each woman, the ED history of diagnoses and traumas was reconstructed. SNA was applied on all these diagnoses and traumas, including also 9 specific violence diagnoses. SNA community detection algorithms and network centrality measures were used to detect diagnostic patterns more strongly associated to violence. A logistic model was developed to validate the capability of these patterns to predict the odds for a woman of having an history of violence. Model results were summed up into a risk chart.ResultsAmong women experiencing an aggression, SNA identified four communities representing specific violence-related patterns of diagnoses. Diagnoses having a central role in the violence network were alcohol or substance abuse, pregnancy-related conditions and psychoses. These high-risk violence related patterns accounted for at most 20% of our cohort. The logistic model had good predictive accuracy and predictive power confirming that diagnosis patterns identified through the SNA are meaningful in the violence recognition.ConclusionsRoutine ED data, analyzed using SNA, can be a first-line warning to recognize when an aggression related access is part of the spectrum of gender-based violence against women. Increasing the available number of predictors, such procedures may be proven to support ED staff in identifying early signs of violence to adequately support the victims and mitigate the harms.

Dataset Information

Data on resilience and trauma-related symptoms in Lithuanian children victims of violence.

Publications

Data on resilience and trauma-related symptoms in Lithuanian children victims of violence.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets