Article (Scientific journals)
Compound Disadvantage between Economic Declines at the City and Neighborhood Levels for Older Americans’ Depressive Symptoms
SETTELS, Jason
2021In City and Community
Peer reviewed
 

Files


Full Text
JS_CC_CompDisadv_Dep.pdf
Publisher postprint (383.35 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
depressive symptoms; economic decline; city; neighborhood; socioeconomic status; aging
Abstract :
[en] American cities and neighborhoods vary in their residents’ typical levels of mental health. Despite scholarship emphasizing that we cannot thoroughly understand city and neighborhood problems without investigating how they are intertwined, limited research examines how city and neighborhood effects interact as they impact health. I investigate these interactions through a study of the effects of the Great recession of 2007–2009. using Waves 1 (2005–2006) and 2 (2010–2011) of the national Social Life, Health, and Aging Project survey (N = 1,341) and in accordance with the compound disadvantage model, I find through fixed-effects linear regression models that city- and neighborhood-level economic declines combine multiplicatively as they impact older Americans’ depressive symptoms. I furthermore find that this effect is only partly based on personal socioeconomic changes, suggesting contextual channels of effect. My results show that we cannot fully understand the effects of city-level changes without also considering neighborhood-level changes.
Disciplines :
Sociology & social sciences
Author, co-author :
SETTELS, Jason  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC)
External co-authors :
no
Language :
English
Title :
Compound Disadvantage between Economic Declines at the City and Neighborhood Levels for Older Americans’ Depressive Symptoms
Publication date :
2021
Journal title :
City and Community
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 27 February 2021

Statistics


Number of views
70 (8 by Unilu)
Number of downloads
66 (2 by Unilu)

Scopus citations®
 
2
Scopus citations®
without self-citations
2
OpenCitations
 
0
OpenAlex citations
 
1
WoS citations
 
1

Bibliography


Similar publications



Contact ORBilu