Association of Childhood Area-Level Ethnic Density and Psychosis Risk Among Ethnoracial Minoritized Individuals in the US
Notice bibliographique
Résumé
Importance: The protective ethnic density effect hypothesis, which suggests that minoritized individuals who grow up in neighborhoods with a high proportion of ethnoracial minoritized groups are protected from the effects of perceived discrimination, has not been examined among individuals at clinical high risk of psychosis (CHR-P). This level of examination may help identify intervention targets for preventing psychosis among high-risk individuals. Objective: To examine the association between area-level ethnic density during childhood, perceived discrimination, and psychosis risk outcomes among ethnoracial minoritized individuals with CHR-P. Design, Setting, and Participants: Data were collected as part of the North American Prodrome Longitudinal Study-2 (NAPLS 2) between November 2008 and March 2013. Participants included ethnoracial minoritized youth with CHR-P. Area-level ethnoracial minoritized density pertained to the percent of ethnoracial minoritized individuals within the participant's county during childhood. Generalized mixed-effects models with random intercepts for participants, NAPLS 2 site, and county estimated the associations between area-level ethnic density and the risk of psychosis risk outcomes. Self-reported experience of discrimination was assessed. Mediation analyses computed the indirect association of perceived discrimination in the prospective correlation between ethnic density and psychosis risk outcomes. Analyses took place between December 2021 and June 2023. Main Outcomes and Measures: Psychosis risk outcomes included remission, symptomatic, progression, and conversion to psychosis and were assessed throughout 24-month follow-up. Results: Of 193 individuals, the mean (SD) age was 17.5 (3.4) years and 113 males (58.5%) were included. Participants self-identified as Asian (29 [15.0%]), Black (57 [29.0%]), Hispanic (any race; 87 [45.0%]), or other (First Nations, Middle Eastern, and interracial individuals; 20 [10.4%]). Greater area-level minoritized density was associated with a lower likelihood of remaining symptomatic (relative risk [RR], 0.54 [95% CI, 0.33-0.89]) and having progressively worsening symptoms (RR, 0.52 [95% CI, 0.32-0.86]) compared with being in remission. More perceived discrimination was associated with a higher risk of staying symptomatic (RR, 1.43 [95% CI, 1.09-1.88]) and progressively worsening (RR, 1.34 [95% CI, 1.02-1.78]) compared with being in remission. Perceived discrimination significantly mediated 21.7% (95% CI, 4.1%-67.0%; P = .02) of the association between area-level minoritized density and the likelihood of being in remission. Conclusions and Relevance: This study found that among ethnoracial minority youth with CHR-P, growing up in communities with a greater proportion of ethnically minoritized individuals was associated with remission of psychosis risk symptoms partly through lower levels of perceived discrimination. Understanding how the social environment impacts early psychosis risk may help develop effective interventions to prevent psychosis, especially for vulnerable minoritized youth.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».