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Enregistrement W4408835784 · doi:10.3389/fpsyt.2025.1586458

Editorial: Disaster-related psychiatric disorders: assessment, recovery, intervention

2025· editorial· en· W4408835784 sur OpenAlexaff
Samuel Law

Notice bibliographique

RevueFrontiers in Psychiatry · 2025
Typeeditorial
Langueen
DomainePsychology
ThématiquePosttraumatic Stress Disorder Research
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésPsychiatryIntervention (counseling)PsychologyMedicine

Résumé

récupéré en direct d'OpenAlex

-Samuel Law Studies of the 9/11 attack in the US have led to new critical understanding and insights into disaster psychiatry, highlighting screening, trauma responses, long-term mental health impacts, and intervention strategies. Related research have paved the way to increased public awareness of Post-Traumatic Distress Disorder (PTSD) and their impact on survivors, first responders, and families (DiGrande et al., 2011). There have also been renewed focus on early intervention efforts, and mindfulness that PTSD often exacerbate previous vulnerabilities and typically coexists with other mental illness such as depression, anxiety, and substance use disorders (Hamwey t al., 2020), calling for integrated treatment approaches (North & Pfefferbaum, 2013). It has also pointed to long-term effects of PTSD, affecting some survivors with persistent mental health challenges, and how symptoms sometimes worsen over time (Bromet, et al., 2016). The field has learned to shift towards more community-based interventions, resilience training, and development of more mental health programs tailored to trauma care (Katz et al., 2002).In this special Research Topic: Disaster-Related Psychiatric Disorders: Assessment, Recovery, Intervention, researchers have continued to expand our knowledge in disaster and trauma related effects, studying numerous man-made and natural disasters, with Covid-19 being a global threat as another important backdrop. While the current understanding is that disasters and their impacts are highly heterogeneous (Beaglehole et al., 2018), these studies contribute nuanced new knowledge that are informative to the field at large.In Lee and colleagues (2024) studies of bereaved families from a fairy disaster in Korea, they showed long-term prevalence of PTSD symptoms in family members who lost loved ones, and highlighted how psychological state of optimism are protective against PTSD, but being avoidant and isolative worsened such. The presence of these factors likely reflect both personal and cultural attributes, providing potential area of foci in treatment and support. Addressing another disaster, studies by Berthail and colleagues (2024) on the Paris attack in 2015 drew newer attention to the fact that physical reactions to the traumatic event and tendency to engage in intrusive thoughts suppression are associated with elevated development of PTSD. These findings call for attention to both psychological and biological underpinnings for PTSD, and could contribute to early screening success for those who will be vulnerable in developing PTSD. To focus on protective factors, First's (2024) study focused on disaster resilience, conceptualized as how various internal and external factors interact to influence an individual's ability to adapt and recover following exposure to a disaster. The knowledge that such factors related to resilience can modify development of PTSD and depression give rise to areas of interest for both population and clinical levels of intervention. The study also found that more exposure to disaster losses was associated with more resilience, so exposure to disaster is related to development of resilience itself, as intuitive as it may sound; however, there is some critical doses of such loss that can overwhelm an individual's resilience when the exposure levels are cumulative and ongoing (Lowe et al., 2019), with an implication that timely and targeted support is critical in fostering resilience. Moving the field more upstream and using a preventative framework, Rizzi and colleagues (2024) have studied earthquake survivors in Morocco, particularly in a highly vulnerable population of pediatric cancer patients and caregivers, and advocated a focus on the communication, education, and having well defined disaster preparedness plans as a way to increase population health and resilience.In a parallel world to the local and single event disasters, the Covid pandemic with its protracted and global impact at social, economical, and population health levels has trained a spotlight on the importance of disaster preparation and management. Out of this global disaster, a number of authors have contributed work to further our understanding on the manifested impact the pandemic has had. Yuan and colleagues (2024) have reported how the pandemic disaster could exacerbate a previously vulnerable and disadvantaged population living with HIV in a large Chinese sample of participants. Medved and colleagues (2023) remarked on increase in substance use and addictive behaviors in those with severe mental illness, occurring during the pandemic and compounded by the disaster of an earthquake in Croatia. The double-disaster predicted the acute need for special attention for those who are already vulnerable. Combined, these authors point to an importance of a more progressive, selective approach in protecting the most vulnerable during challenging times (Sam, 2020).In other fronts, Teckchandani and colleagues (2024) examined those who were not known yet to be vulnerable, but found those with higher potential to have mental health concerns tend to be less likely to engage in some forms of proactive mental health training in a police cadet population that is known to face higher incidences of mental health challenge, including PTSD as part of their professional hazard. Their study is noteworthy for how to identify and engage in an upstream approach for health promotion and illness prevention. Another vulnerable group, by choice or by external factors is people with a history of migration. Renner and colleagues (2024) reviewed the relationship between migratory griefdefined as related to interpersonal, material and abstract losses -and psychopathology. Not surprisingly, migratory grief predicted depression and psychological distress, but their public health and social policy implications are ever more relevant in today's global political climate regarding immigration and resettlement issues. Lastly, taking on actual studies of refugee youth, Schumacher and colleagues (2024) examined PTSD and beyond in refugee minors in Germany, and found a large proportion over 40%) of the participants met diagnostic criteria for depression and many of whom showed comorbid PTSD diagnosis. They stressed the importance of recognizing latent depressive symptoms that develop from the original PTSD symptoms associated with the flight and stress as part of the refugee experience for many.In summary, the special topic in disaster related psychiatric disorders expanded acknowledge in assessment, understanding, and paved new paths towards more effective and tailored intervention, with aim to promote fuller recovery, particularly mindful of those who are already or known to be vulnerable. Studying these populations from the margins could ultimately help us to understand more on how to address disaster related mental health challenges for the general population at large.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,027
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,023
Score d'incertitude au seuil0,076

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,027
Méta-épidémiologie (sens strict)0,0050,001
Méta-épidémiologie (sens large)0,0050,004
Bibliométrie0,0030,001
Études des sciences et des technologies0,0030,003
Communication savante0,0060,005
Science ouverte0,0050,001
Intégrité de la recherche0,0180,018
Charge utile insuffisante (le modèle a refusé de juger)0,0230,016

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,351
Écart entre enseignants0,343 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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