EXAMINING SOCIAL CAPITAL AND DEPRESSIVE SYMPTOMS: TACKLING MEASUREMENT DEBATES, NEIGHBOURHOOD CORRELATES, AND GENDER DIFFERENCES.
Notice bibliographique
Résumé
Depression is the most common mental illness worldwide, and although aspects of the social environment, including social capital and neighbourhood disadvantage, have been linked to depression, the underlying mechanisms are not well understood.Debates within the social capital and neighbourhood disadvantage literatures have yielded mixed findings in studies of depression and an understanding of how social capital may differentially relate to symptomatology in men and women must be solidified.In the first manuscript of this thesis, I assess whether (1) network and psychosocial measures of individual social capital are each associated with depressive symptoms, and (2) the association varies according to whether the capital lies outside or inside an individual's neighbourhood.The second manuscript investigates whether: (1) neighbourhood disadvantage has a stronger association with depression in women compared to men and ( 2) if specific social capital factors mediate the association between neighbourhood disadvantage and depression.Data came from the Montreal Neighbourhood Networks and Healthy Aging Study conducted in 2008.Data included telephone interview responses from 2624 adults from 300 census tracts in the Montreal metropolitan area.The CESD-10 instrument was used to assess depressive symptoms.Name and position generator instruments and self-reported questions were used to assess psychosocial and network components of social capital.Multilevel logistic regressions adjusted for a range of socio-demographic and economic characteristics.Manuscript 1 resultsindicated that core tie diversity as well as the psychosocial measures of generalized trust, trust in neighbours, and perceptions of neighbourhood cohesion may be beneficial to those suffering from depressive symptoms.Manuscript 2 results, stratified by gender, indicated that neighbourhood disadvantage was associated with depressive symptoms in women only and iii that perceived neighbourhood cohesion mediated this association.Core tie diversity, generalized trust and trust in neighbours were associated with depression in women but did not act as mediating variables.It is suggested that network and psychosocial, as well as general-and neighbourhood specific measures of social capital be included in studies of depressive symptoms.Health promotion initiatives meant to combat depression may wish to consider the gender differences in the design and implementation of neighbourhood or peerbased programs.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».