Neighborhood Disadvantage and Mental Health: Test of a Parallel Mediation Model through Social Support and Negative Emotionality.


Journal

Health communication
ISSN: 1532-7027
Titre abrégé: Health Commun
Pays: England
ID NLM: 8908762

Informations de publication

Date de publication:
11 2022
Historique:
pubmed: 26 3 2021
medline: 18 10 2022
entrez: 25 3 2021
Statut: ppublish

Résumé

According to the life stress model, stressful circumstances occur in the context of social, psychological, and environmental features that can function as either resources or aggravating factors, each of which are associated with well-being. This research was designed to test indirect effects of living in disadvantaged neighborhoods on mental health, through reduced social support and increased negative emotionality. This model was tested with data from a national sample of 1050 adults residing in the United States. Participants completed measures of social support, negative emotionality, depression, loneliness, stress, and alcohol consumption. These scores were merged with data from the 2015 American Community Survey to assess indicators of neighborhood disadvantage at the zip code level. The test of a parallel mediation model with structural equation modeling indicated that neighborhood disadvantage did not have direct effects on either psychological distress or alcohol consumption. However, neighborhood disadvantage was associated with greater negative emotionality, and through negative emotionality, exhibited indirect effects on psychological distress and alcohol consumption. These results are consistent with elements of the life stress model that specify various psychosocial traits as maladaptive in the context of stressful environments.

Identifiants

pubmed: 33761820
doi: 10.1080/10410236.2021.1903733
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1581-1589

Auteurs

Chris Segrin (C)

Department of Communication, University of Arizona.

Jian Jiao (J)

Department of Communication, University of Arizona.

R Amanda Cooper (RA)

Department of Communication, University of Arizona.

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Classifications MeSH