MétaCan
Menu
Retour à la cohorte
Enregistrement W4241964456 · doi:10.1176/appi.pn.2015.7a4

Risk of PTSD Symptoms Among Police May Be Predictable Years Ahead

2015· article· en· W4241964456 sur OpenAlexaboutno aff
Aaron Levin

Notice bibliographique

RevuePsychiatric News · 2015
Typearticle
Langueen
DomainePsychology
ThématiqueResilience and Mental Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionPsychological resiliencePsychologyVulnerability (computing)NormativeCriminologyPsychiatryGerontologyMedicineSocial psychologyPolitical scienceComputer securityLaw

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Clinical and Research NewsFull AccessRisk of PTSD Symptoms Among Police May Be Predictable Years AheadAaron LevinAaron LevinPublished Online:6 Jul 2015https://doi.org/10.1176/appi.pn.2015.7a4AbstractSeveral factors measured when officers enter the police academy strongly suggest how the officers will react to stressful incidents years later.Big-city police officers experience three life-threatening events a year on average, yet the normative response to traumatic stress is resilience, reported Charles Marmar, M.D., a professor and chair of psychiatry at New York University's Langone Medical Center, at APA's 2015 annual meeting in Toronto in May.Risk and resilience in the face of life-threatening events in police work may be predictable—and planned for—well in advance, said Charles Marmar, M.D., at APA's annual meeting in Toronto.David HathcoxPredicting who will and who won't develop symptoms of stress could help police forces improve training for all and lessen vulnerability.Thirteen years ago, Marmar and colleagues began studying 400 candidates for police forces in San Francisco, Oakland, Calif., and New York City. They sought to find ways to help police, first responders, or soldiers prepare for and respond to stress, he said. "The idea was not to screen people out but to help them adapt better to the stress of these professions and provide early interventions to protect their resilience."The researchers gathered an array of data on demographic factors, family history, and stress biomarkers and administered a three-hour psychiatric evaluation. Marmar and colleagues also measured cortisol levels, eye-blink responses, skin conductance, heart rate, and startle reactivity, among other data.The prospective officers' evaluation revealed they were remarkably healthy. No one was diagnosed with an Axis I disorder, their average IQ was 116, and 26 percent had been exposed to childhood trauma—roughly the same proportion as in the general population.One test of stress reactions included showing recruits several videos, first a pleasant travelogue followed by a graphic film of a real police officer being blown up by a bomb he was trying to defuse. Marmar's team measured stress hormone levels before and after the videos and asked the candidates how disturbed they felt.Officers who had the highest cortisol response to the traumatic video were more likely to show resilience six years later after experiencing a stressor in their own lives. "A high cortisol response brakes the stress response," he said. Over six years they collected more than 2,000 data points on each officer. Managing the information gathered was a challenge that demanded innovative statistical tools to understand the interaction of so many variables.Although the study is still under way, Marmar and his colleagues have reached some important preliminary observations at the end of six years.For a start, some hypothesized risk factors proved to be wrong, he said. Gender did not predict outcome—women were as resilient as men. IQ was not a factor, either.Catecholamine and acoustic startle responses to stress, peritraumatic panic or dissociation, and a family history of mood, anxiety, and substance use disorders were associated with PTSD symptoms at six years. Routine work stresses, such as scheduling issues or poor leadership, also were highly correlated with PTSD symptoms."Genetics has complex effects throughout this whole model," said Marmar. "Genes contribute to risk-taking and risk-aversive behavior and thus how often police and soldiers get into life-threatening situations."The NFKBIA gene—a single variant inflammatory regulatory gene, which is involved in the regulation of the stress response—is associated with high resilience in policing.Genes are just part of the story, said Marmar's colleague, Isaac Galatzer-Levy, Ph.D., an assistant professor of psychiatry at the NYU School of Medicine."They produce indirect effects via intermediaries which can be modified," he said. "It's not a deterministic world."One major factor surprised Marmar and colleagues: the number of hours of sleep recorded while in the academy and at the end of the first year of service inversely predicted PTSD symptoms at six years."If you were sleeping well at the end of one year of police service, you were sleeping well at the end of six years of police service," he said. Other factors like gene variants and cortisol levels complexly interact with sleep.The presence of risk factors should not automatically be used to screen candidates out of the force, Marmar noted. Risk factors can be modified, and early interventions can lower risk over time. Officers with sleep problems can be assigned less shift work and given sleep hygiene training, for instance. The inflammatory response to stressors can be mitigated, and even gene expression can be modified with medications like dexamethasone given after traumatic events, Marmar said."People are not doomed to vulnerability or resilience," Marmar noted. ■ ISSUES NewArchived

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,112
Score d'incertitude au seuil0,950

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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 Opus0,024
Tête enseignante GPT0,355
Écart entre enseignants0,330 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePsychiatric NewsMême sujetResilience and Mental HealthTravaux en français237 207