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Enregistrement W2103212356 · doi:10.1136/jech.56.9.671

Housing and inequalities in health: a study of socioeconomic dimensions of housing and self reported health from a survey of Vancouver residents

2002· article· en· W2103212356 sur OpenAlexaffabout
James R. Dunn

Notice bibliographique

RevueJournal of Epidemiology & Community Health · 2002
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHealth disparities and outcomes
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésSocioeconomic statusMental healthNeighbourhood (mathematics)Housing tenureMedicineSelf-rated healthGerontologyEnvironmental healthFeelingPsychologySocial psychologyPopulationDemographic economicsPsychiatryEconomics

Résumé

récupéré en direct d'OpenAlex

STUDY OBJECTIVE: To investigate the relation between housing, socioeconomic status, and self reported general and mental health. This study is an empirical investigation of social and economic dimensions of housing, specifically, demand, control, and material (affordability, dwelling type) and meaningful (pride in dwelling, home as a refuge) dimensions of everyday life as they occur in the domestic environment. DESIGN: A cross sectional telephone survey was administered to a random sample of households. Survey items included measures of demand, control, and meaningfulness of the domestic environment, as well as standard measures of socioeconomic status and social support. Main outcome measures were self reported health (excellent, very good, good, fair, poor) and self reported frequency of feeling "downhearted and blue" in the two weeks before interview (from the Rand Mental Health Index). SETTING: Households (n=650) from 12 neighbourhood areas in the city of Vancouver, Canada. PARTICIPANTS: One randomly selected adult from each of 650 households completed the interview and constitute the sample for this study. MAIN RESULTS: In bivariate analyses, measures of housing demand, control and meaningfulness exhibited strong and significantly graded relations with self reported health and somewhat less strong relations with mental health. In logistic regression analyses housing demand and control variables made significant contributions to health both general and mental health. Respondents were more likely to report fair/poor health if they: reported that they couldn't stand to be at home sometimes (OR=2.29, p<0.05); rated their domestic housework as somewhat or quite a strain (OR=5.71, p<0.001); were somewhat or very dissatisfied with their social activities (OR=3.41, p<0.001); and reported that they were constantly under stress a good bit of the time or more (OR=3.56, p<0.05). In terms of mental health, respondents were more likely to report poorer mental health if they: lived longer in their neighbourhood (OR=1.05, p<0.05); reported their housework duties to be somewhat or quite a strain (OR=5.55, p<0.001); reported that they did not have somebody that could help them if they needed it (OR=9.28, p<0.001); and reported that they were constantly under stress a good bit of the time or more in the two weeks before the interview (OR=5.26, p<0.001). One of the main hypotheses investigated-that meaningful dimensions of housing are associated with health status-found support in bivariate analyses without controls, but did not contribute to multivariable models. CONCLUSIONS: The influence of housing demand and control variables superseded a well known correlate of health status, educational attainment, attesting to their importance. The findings of this paper lend support to the hypothesis that features of the domestic environment, especially as they pertain to the exercise of control and the experience of demand, are significant predictors of self reported general and mental health status. Housing is a concrete manifestation of socioeconomic status, which has an important part to play in the development of explanations of the social production of health inequalities.

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)0,048
score de la tête « metaresearch » (Gemma)0,008
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
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 enseignants0,055
Score d'incertitude au seuil0,980

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0480,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,291
Tête enseignante GPT0,457
Écart entre enseignants0,166 · 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.

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

Citations275
Publié2002
Routes d'admission2
Résumé présentoui

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