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Enregistrement W282663156

Experiences of Mental Distress by Individuals during an Economic Downturn: The Story of an Urban City

2010· article· en· W282663156 sur OpenAlexaboutno aff
Carolyn Cokes, William Kornblum

Notice bibliographique

Revue˜The œWestern journal of black studies · 2010
Typearticle
Langueen
DomaineHealth Professions
ThématiqueEmployment and Welfare Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMental healthUnderinsuredMental distressDistressPsychologyStressorHealth careEthnic groupMental illnessPsychiatryMedicineClinical psychologyEconomic growthPolitical scienceHealth insurance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction A variety of social conditions or statuses are involved in determination of risk for symptoms of mental distress. While everyone experiences some amount of stress, economic hardship and insecurity are stressors that can be expected to have immediate and powerful negative consequences for mental health. Frequency of mental distress are related to low income and economic insecurity, but in complex ways. Since people living on low incomes, who in American society are also disproportionately of minority racial or ethnic status, experience higher levels of stress in their daily lives, research has generally indicated that the poor and members of minority groups are more likely to exhibit higher than average frequencies of mental distress (Muntaner, Eaton, and Diala, 2000; Meyer, 2003). Research signals other vulnerable groups as well, especially the young and sexual minorities; while, conversely, there is ample evidence that as age and income increase, mental health, as measured by frequency and severity of mental health symptoms, improves (Harris et al, 2006). Access to Mental Healthcare Access to mental healthcare, while aided by mental healthcare parity laws passed in 1996 and updated in 2007 and 2008 (HHS and Pear, 2008), remains problematic, especially for those who are uninsured or underinsured. In addition to stigmas attached to seeking mental healthcare, economic concerns often factor into decisions about whether or not to seek mental healthcare, as well as an individual's ability to continue mental health treatment. A national survey based on data from 2001 to 2003 found that while there is a largely unmet need for mental healthcare in the U.S., the burden is greatest for traditionally underserved groups (Wang, et al, 2005). One study comparing visits to mental health care providers in the United States and Canada during the 1990s found that overall, 8.8% of Americans report one or more annual visits to the health sector for a mental health problem, compared to 6.9% of Canadians in Ontario. Americans with the highest incomes and no previous history of severe mental illness are much more likely to receive services than their Canadian counterparts. By contrast, Americans with the lowest incomes and high morbidity are much less likely to receive services for mental health problems than are a similar group of Canadians (Katz, S.J. et al 1997). These realities, in combination with the prevalence of 'sub-threshold' mental health conditions, such as minor depression, force many individuals to experience disparate impairments to daily life, without the relief of appropriate, accessible mental healthcare that is within their legally protected rights (Pincus 1999). The Economic Downturn In the fall of 2008, statements regarding an economic downturn began to appear in the mainstream media. In September of 2008, two major mortgage companies were taken over by the federal government, followed by the collapse of a number of major banks (Washington Post, 2008). Lay-offs skyrocketed and the New York State unemployment rate rose to 8.0% by April 2009, from 5.1% a year previously (NY State Department of Labor, 2009). Concurrently, sub-prime mortgage securitization schemes began to face financial ruin, and many began to fear losing their homes, their savings, and, perhaps most significantly for stressors that impair mental health, their medical insurance. From anecdotal accounts that began to appear in the media, this increasingly unstable economic environment appeared to cause a great deal of mental distress among New Yorkers. This paper offers empirical evidence that confirms these accounts and allows us to shed more light on which demographic groups in New York City, where the financial crisis hit so uniquely, are most affected. SES, Stress, and Health Socioeconomic status (SES) has strong predictive value for many disparate health outcomes, but is less well-described as a predictor of mental health (Adler and Ostrove, 1999; Roy-Byrne 2009). …

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)0,001
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: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,122
Score d'incertitude au seuil0,871

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,046
Tête enseignante GPT0,385
Écart entre enseignants0,340 · 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'étudeQualitatif
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

Citations4
Publié2010
Routes d'admission1
Résumé présentoui

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