cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29166850
title: Trauma exposure, prevalence and associated factors of complex PTSD in mainland China: a cross-sectional survey

description: <b>Background:</b> The ICD-11 distinguishes Complex Post-Traumatic Stress Disorder (CPTSD) as a separate trauma-related disorder from PTSD. While numerous studies have examined these conditions globally, no nationwide research has yet investigated their one-month prevalence and associated factors in the general population of China. <b>Objective:</b> This study aimed to determine the one-month prevalence of ICD-11 CPTSD and identify associated factors within a general adult sample in mainland China. <b>Methods:</b> A total of 2,115 adults living in mainland China participated in an online survey. PTSD and CPTSD were assessed using the International Trauma Questionnaire (ITQ) based on ICD-11 criteria. Trauma exposure was measured via the International Trauma Exposure Measure (ITEM). Multinomial logistic regression identified associated factors for PTSD and CPTSD. <b>Results:</b> Among participants, 88.2% reported at least one traumatic exposure. The prevalence of PTSD and CPTSD was 4.9% and 4.5%, respectively. Shared predictors for both conditions included a greater number of siblings, broader interpersonal trauma exposure during adolescence, and more frequent and recent index trauma events. Specific predictors for CPTSD included female gender, older age, being left behind by migrant parents, lower socioeconomic status, and broader trauma exposure in adulthood. <b>Conclusion:</b> This study provides the first estimates of ICD-11 PTSD and CPTSD prevalence in the general population of mainland China, revealing relatively high rates compared to other mental disorders. Findings highlight key associated factors and offer intervention recommendations for at-risk groups. This study reports the first nationwide one-month prevalence of PTSD (4.9%) and CPTSD (4.5%) in mainland China’s general adult population.Shared predictors for PTSD and CPTSD include more siblings, adolescent interpersonal trauma, and frequent/recent index trauma. CPTSD-specific factors include female gender, older age, being left behind by migrant parents, lower SES, and adult trauma exposure.Findings highlight cultural risk factors and offer a basis for targeted mental health interventions in China. This study reports the first nationwide one-month prevalence of PTSD (4.9%) and CPTSD (4.5%) in mainland China’s general adult population. Shared predictors for PTSD and CPTSD include more siblings, adolescent interpersonal trauma, and frequent/recent index trauma. CPTSD-specific factors include female gender, older age, being left behind by migrant parents, lower SES, and adult trauma exposure. Findings highlight cultural risk factors and offer a basis for targeted mental health interventions in China.
DOI: 10.6084/m9.figshare.29166850.v1
title: Trauma exposure, prevalence and associated factors of complex PTSD in mainland China: a cross-sectional survey

description: <b>Background:</b> The ICD-11 distinguishes Complex Post-Traumatic Stress Disorder (CPTSD) as a separate trauma-related disorder from PTSD. While numerous studies have examined these conditions globally, no nationwide research has yet investigated their one-month prevalence and associated factors in the general population of China. <b>Objective:</b> This study aimed to determine the one-month prevalence of ICD-11 CPTSD and identify associated factors within a general adult sample in mainland China. <b>Methods:</b> A total of 2,115 adults living in mainland China participated in an online survey. PTSD and CPTSD were assessed using the International Trauma Questionnaire (ITQ) based on ICD-11 criteria. Trauma exposure was measured via the International Trauma Exposure Measure (ITEM). Multinomial logistic regression identified associated factors for PTSD and CPTSD. <b>Results:</b> Among participants, 88.2% reported at least one traumatic exposure. The prevalence of PTSD and CPTSD was 4.9% and 4.5%, respectively. Shared predictors for both conditions included a greater number of siblings, broader interpersonal trauma exposure during adolescence, and more frequent and recent index trauma events. Specific predictors for CPTSD included female gender, older age, being left behind by migrant parents, lower socioeconomic status, and broader trauma exposure in adulthood. <b>Conclusion:</b> This study provides the first estimates of ICD-11 PTSD and CPTSD prevalence in the general population of mainland China, revealing relatively high rates compared to other mental disorders. Findings highlight key associated factors and offer intervention recommendations for at-risk groups. This study reports the first nationwide one-month prevalence of PTSD (4.9%) and CPTSD (4.5%) in mainland China’s general adult population.Shared predictors for PTSD and CPTSD include more siblings, adolescent interpersonal trauma, and frequent/recent index trauma. CPTSD-specific factors include female gender, older age, being left behind by migrant parents, lower SES, and adult trauma exposure.Findings highlight cultural risk factors and offer a basis for targeted mental health interventions in China. This study reports the first nationwide one-month prevalence of PTSD (4.9%) and CPTSD (4.5%) in mainland China’s general adult population. Shared predictors for PTSD and CPTSD include more siblings, adolescent interpersonal trauma, and frequent/recent index trauma. CPTSD-specific factors include female gender, older age, being left behind by migrant parents, lower SES, and adult trauma exposure. Findings highlight cultural risk factors and offer a basis for targeted mental health interventions in China.
DOI: 10.6084/m9.figshare.29437039
title: Beyond one-cutoff-fits-all: determining cutoff values for the PTSD checklist for DSM-5 (PCL-5)

description: <b>Background:</b> There is no universally optimal cutoff score for identifying probable PTSD, which makes reliable PTSD diagnosis challenging not only across different populations but also in different settings. Reliable outcomes require tailoring cutoff scores to the population, intended use (clinical, research, or prevalence estimation), and appropriate statistical methods to ensure their validity. <b>Objective:</b> While previously little emphasis has been placed on thorough methodological evaluation and purpose-driven cutoff selection, this work addresses these gaps by evaluating optimal PCL-5 cutoff scores for clinical use, prevalence estimation, and research in a German-speaking clinical sample. <b>Methods:</b> Previously published data from 443 trauma-exposed individuals in Germany were re-analyzed for this purpose. PTSD was assessed using the PCL-5 and with CAPS-5 clinical interview. Optimal cutoffs were identified using ROC analysis, applying standard estimation methods and prioritising diagnostic utility based on specific objectives. <b>Results:</b> After evaluating various cutoff points for different purposes, we identified the following as most suitable for this sample: a cutoff of 34 for clinical use (sensitivity: 0.892, specificity: 0.645, PPV: 0.824, NPV: 0.763); 38 for prevalence estimation (sensitivity: 0.840, specificity: 0.703, PPV: 0.840, NPV: 0.703); and 42 or 43 for identifying clear-cut cases in research or resource-limited settings (sensitivity: 0.774–0.760, specificity: 0.742–0.761, PPV: 0.848–0.855, NPV: 0.639–0.631). The originally intended cutoffs of 31–33 yielded acceptable to excellent diagnostic utility parameters but were not identified as optimal for any specific purpose. <b>Conclusion:</b> This study highlights the variability in optimal PCL-5 cutoffs, linking selection to specific clinical or research aims. It provides validated cutoffs for PTSD prevalence in a German clinical sample, with limitations regarding generalizability to lower-prevalence populations. Future research should refine cutoffs for diverse populations and improve diagnostic precision. Context matters: PTSD screening requires purpose-specific cutoff scores rather than a universal threshold.Validated cutoffs: this study determines optimal PCL-5 scores for clinical screening, prevalence estimation, and research.Methodological refinement: this study applies a purpose-driven approach to determining PTSD cutoff scores, emphasising statistical rigour and diagnostic utility. Context matters: PTSD screening requires purpose-specific cutoff scores rather than a universal threshold. Validated cutoffs: this study determines optimal PCL-5 scores for clinical screening, prevalence estimation, and research. Methodological refinement: this study applies a purpose-driven approach to determining PTSD cutoff scores, emphasising statistical rigour and diagnostic utility.
DOI: 10.6084/m9.figshare.29437039.v1
title: Beyond one-cutoff-fits-all: determining cutoff values for the PTSD checklist for DSM-5 (PCL-5)

description: <b>Background:</b> There is no universally optimal cutoff score for identifying probable PTSD, which makes reliable PTSD diagnosis challenging not only across different populations but also in different settings. Reliable outcomes require tailoring cutoff scores to the population, intended use (clinical, research, or prevalence estimation), and appropriate statistical methods to ensure their validity. <b>Objective:</b> While previously little emphasis has been placed on thorough methodological evaluation and purpose-driven cutoff selection, this work addresses these gaps by evaluating optimal PCL-5 cutoff scores for clinical use, prevalence estimation, and research in a German-speaking clinical sample. <b>Methods:</b> Previously published data from 443 trauma-exposed individuals in Germany were re-analyzed for this purpose. PTSD was assessed using the PCL-5 and with CAPS-5 clinical interview. Optimal cutoffs were identified using ROC analysis, applying standard estimation methods and prioritising diagnostic utility based on specific objectives. <b>Results:</b> After evaluating various cutoff points for different purposes, we identified the following as most suitable for this sample: a cutoff of 34 for clinical use (sensitivity: 0.892, specificity: 0.645, PPV: 0.824, NPV: 0.763); 38 for prevalence estimation (sensitivity: 0.840, specificity: 0.703, PPV: 0.840, NPV: 0.703); and 42 or 43 for identifying clear-cut cases in research or resource-limited settings (sensitivity: 0.774–0.760, specificity: 0.742–0.761, PPV: 0.848–0.855, NPV: 0.639–0.631). The originally intended cutoffs of 31–33 yielded acceptable to excellent diagnostic utility parameters but were not identified as optimal for any specific purpose. <b>Conclusion:</b> This study highlights the variability in optimal PCL-5 cutoffs, linking selection to specific clinical or research aims. It provides validated cutoffs for PTSD prevalence in a German clinical sample, with limitations regarding generalizability to lower-prevalence populations. Future research should refine cutoffs for diverse populations and improve diagnostic precision. Context matters: PTSD screening requires purpose-specific cutoff scores rather than a universal threshold.Validated cutoffs: this study determines optimal PCL-5 scores for clinical screening, prevalence estimation, and research.Methodological refinement: this study applies a purpose-driven approach to determining PTSD cutoff scores, emphasising statistical rigour and diagnostic utility. Context matters: PTSD screening requires purpose-specific cutoff scores rather than a universal threshold. Validated cutoffs: this study determines optimal PCL-5 scores for clinical screening, prevalence estimation, and research. Methodological refinement: this study applies a purpose-driven approach to determining PTSD cutoff scores, emphasising statistical rigour and diagnostic utility.
DOI: 10.6084/m9.figshare.30146136
title: Posttraumatic stress disorder interventions for children aged zero to six years: a scoping review

description: <b>Background:</b> If left untreated, posttraumatic stress disorder (PTSD) has the potential to cause life-long risks to the health and wellbeing of young, traumatized children. Although DSM-5 diagnostic criteria recognize unique PTSD manifestations in children aged zero to six years, few well-established treatments exist. <b>Objective:</b> This review seeks to explore and synthesize the current literature on PTSD interventions for children aged zero to six years to inform the treatment and future research on effective, age-appropriate treatments. <b>Method:</b> A scoping review methodology was used to undertake this review. Following the creation of a comprehensive search strategy, a literature search utilizing the databases PubMed, CINAHL, and PsycINFO was conducted. A grey literature search was conducted in three different steps: (1) grey database search, (2) custom Google search, and (3) contacting relevant stakeholders/associations. All eligible studies were uploaded to Covidence (2024), a scoping review management service, to efficiently review and remove duplicate studies by two independent reviewers via a two-phase screening process. <b>Results:</b> We identified 37 original research articles that described the treatment of PTSD in children aged six years and under. Trauma-focused cognitive behavioural therapy (TF-CBT) was the most rigorously studied type of intervention with two published randomized controlled trials (RCTs). Child–parent psychotherapy (CPP), a skills-based form of dyadic psychotherapy, was established, with one published RCT and two large uncontrolled group studies. Most studies involved caregivers in the therapeutic process. <b>Conclusions:</b> It is recommended that methodologically rigorous studies further explore and compare treatment options in PTSD interventions for children aged zero to six years. No treatment recommendations are currently given for children aged zero to two years. TF-CBT is recommended to be the first-line therapy for children aged three to six years with PTSD. Although PTSD is known to affect children up to six years of age, well-established interventions tailored to this population are few.Trauma-focused cognitive behavioural therapy and child–parent psychotherapy are the most rigorously studied intervention models for children aged three to six years.The efficacy of other interventions has yet to be thoroughly analysed by multiple randomized controlled trials and require further analysis to be recommended for use. Although PTSD is known to affect children up to six years of age, well-established interventions tailored to this population are few. Trauma-focused cognitive behavioural therapy and child–parent psychotherapy are the most rigorously studied intervention models for children aged three to six years. The efficacy of other interventions has yet to be thoroughly analysed by multiple randomized controlled trials and require further analysis to be recommended for use.
DOI: 10.6084/m9.figshare.30146136.v1
title: Posttraumatic stress disorder interventions for children aged zero to six years: a scoping review

description: <b>Background:</b> If left untreated, posttraumatic stress disorder (PTSD) has the potential to cause life-long risks to the health and wellbeing of young, traumatized children. Although DSM-5 diagnostic criteria recognize unique PTSD manifestations in children aged zero to six years, few well-established treatments exist. <b>Objective:</b> This review seeks to explore and synthesize the current literature on PTSD interventions for children aged zero to six years to inform the treatment and future research on effective, age-appropriate treatments. <b>Method:</b> A scoping review methodology was used to undertake this review. Following the creation of a comprehensive search strategy, a literature search utilizing the databases PubMed, CINAHL, and PsycINFO was conducted. A grey literature search was conducted in three different steps: (1) grey database search, (2) custom Google search, and (3) contacting relevant stakeholders/associations. All eligible studies were uploaded to Covidence (2024), a scoping review management service, to efficiently review and remove duplicate studies by two independent reviewers via a two-phase screening process. <b>Results:</b> We identified 37 original research articles that described the treatment of PTSD in children aged six years and under. Trauma-focused cognitive behavioural therapy (TF-CBT) was the most rigorously studied type of intervention with two published randomized controlled trials (RCTs). Child–parent psychotherapy (CPP), a skills-based form of dyadic psychotherapy, was established, with one published RCT and two large uncontrolled group studies. Most studies involved caregivers in the therapeutic process. <b>Conclusions:</b> It is recommended that methodologically rigorous studies further explore and compare treatment options in PTSD interventions for children aged zero to six years. No treatment recommendations are currently given for children aged zero to two years. TF-CBT is recommended to be the first-line therapy for children aged three to six years with PTSD. Although PTSD is known to affect children up to six years of age, well-established interventions tailored to this population are few.Trauma-focused cognitive behavioural therapy and child–parent psychotherapy are the most rigorously studied intervention models for children aged three to six years.The efficacy of other interventions has yet to be thoroughly analysed by multiple randomized controlled trials and require further analysis to be recommended for use. Although PTSD is known to affect children up to six years of age, well-established interventions tailored to this population are few. Trauma-focused cognitive behavioural therapy and child–parent psychotherapy are the most rigorously studied intervention models for children aged three to six years. The efficacy of other interventions has yet to be thoroughly analysed by multiple randomized controlled trials and require further analysis to be recommended for use.
DOI: 10.15468/dl.psp3up
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.792874 24.414215, 88.71575900000001 24.408638, 88.640562 24.392045, 88.569153 24.36485, 88.503305 24.327729, 88.444647 24.281603, 88.394627 24.227618, 88.354473 24.16711, 88.325164 24.101579, 88.30740900000001 24.032644, 88.301625 23.962006, 88.307937 23.891406, 88.32617 23.82258, 88.355857 23.75722, 88.396254 23.696928, 88.446358 23.643182, 88.504932 23.597294, 88.570537 23.560388, 88.64156800000001 23.533365, 88.71628699999999 23.516882, 88.792874 23.511343, 88.869461 23.516882, 88.94418 23.533365, 89.01521099999999 23.560388, 89.080816 23.597294, 89.13939000000001 23.643182, 89.189494 23.696928, 89.22989099999999 23.75722, 89.259578 23.82258, 89.277811 23.891406, 89.28412299999999 23.962006, 89.278339 24.032644, 89.26058399999999 24.101579, 89.231275 24.16711, 89.191121 24.227618, 89.14110100000001 24.281603, 89.082443 24.327729, 89.016595 24.36485, 88.94518600000001 24.392045, 88.869989 24.408638, 88.792874 24.414215))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004494-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18334549
title: Data associated with the article "Ground Ice and Organic Matter Controls on Permafrost Stability in Ice-Rich Peatlands"
DOI: 10.5281/zenodo.18334548
title: Data associated with the article "Ground Ice and Organic Matter Controls on Permafrost Stability in Ice-Rich Peatlands"
DOI: 10.6084/m9.figshare.28468876
title: The role of long-term hair steroids as diagnostic and intervention-related biomarkers in a multimorbid inpatient sample with posttraumatic stress disorder

description: <b>Background:</b> Steroid hormone dysregulations have frequently been implicated in posttraumatic stress disorder (PTSD) pathogenesis. However, the translation into naturalistic clinical settings as markers of symptomatology and treatment success remains complex. Particularly, there is little longitudinal data on steroid secretion over the course of interventions. <b>Objective:</b> This study examined the potential of long-term steroid hormone secretion assessed in hair as diagnostic and intervention-related biomarkers among medicated, multimorbid inpatients with PTSD. <b>Method:</b> As part of a secondary analysis of a randomised controlled trial, 54 female inpatients with a primary diagnosis of PTSD received standardised treatment and provided hair samples at pre-treatment, post-treatment, and 3-month follow-up. Cortisol, cortisone, and dehydroepiandrosterone (DHEA) were determined, alongside clinical assessments. <b>Results:</b> Cross-sectional results showed a negative association of pre-treatment DHEA with anxiety symptoms and a trend-level association with lifetime trauma exposure. While inpatients improved in PTSD symptomatology during treatment, neither pre-treatment steroids, nor treatment-induced steroid changes predicted PTSD symptoms at post-treatment or 3-month follow-up. <b>Conclusion:</b> The study highlights the challenges of establishing biomarkers in naturalistic clinical populations. While the association of attenuated DHEA with anxiety symptoms warrants further exploration, our data points towards the potential necessity of patient sub-sample selection to understand, and in the long run clinically target, the endocrine mechanisms in PTSD. Hair steroids (Cortisol, Cortisone, DHEA) were assessed in inpatients with PTSD.Lower pre-treatment DHEA levels were associated with greater anxiety symptoms.Hair steroids did not predict treatment response at hospital discharge or 3-month follow-up. Hair steroids (Cortisol, Cortisone, DHEA) were assessed in inpatients with PTSD. Lower pre-treatment DHEA levels were associated with greater anxiety symptoms. Hair steroids did not predict treatment response at hospital discharge or 3-month follow-up.