Depression Treatment Status of Economically Disadvantaged African American Older Adults.
African Americans
depression
depressive symptoms
ethnic groups
race
Journal
Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646
Informations de publication
Date de publication:
07 Mar 2020
07 Mar 2020
Historique:
received:
09
02
2020
revised:
03
03
2020
accepted:
04
03
2020
entrez:
12
3
2020
pubmed:
12
3
2020
medline:
12
3
2020
Statut:
epublish
Résumé
It is known that depression remains largely untreated in underserved communities. Hence, it is desirable to gain more knowledge on the prevalence and correlates of untreated depression among African-American (AA) older adults in economically disadvantaged areas. This knowledge may have the public health benefit of improving detection of AA older adults with depression who are at high risk of not receiving treatment, thereby reducing this health disparity. To study health and social correlates of untreated depression among AA older adults in economically disadvantaged areas. Between 2015 and 2018, this cross-sectional survey was conducted in South Los Angeles. Overall, 740 AA older adults who were 55+ years old entered this study. Independent variables were age, gender, living arrangement, insurance type, educational attainment, financial strain, chronic medical conditions, and pain intensity. Untreated depression was the dependent variable. Logistic and polynomial regression models were used to analyze these data. According to the polynomial regression model, factors such as number of chronic medical conditions and pain intensity were higher in individuals with depression, regardless of treatment status. As our binary logistic regression showed, age, education, and number of providers were predictive of receiving treatment for depression. Age, educational attainment, number of providers (as a proxy of access to and use of care) may be useful to detect AA older adults with depression who are at high risk of not receiving treatment. Future research may focus on decomposition of the role of individual-level characteristics and health system-level characteristics that operate as barriers and facilitators to AA older adults receiving treatment for depression.
Sections du résumé
BACKGROUND
BACKGROUND
It is known that depression remains largely untreated in underserved communities. Hence, it is desirable to gain more knowledge on the prevalence and correlates of untreated depression among African-American (AA) older adults in economically disadvantaged areas. This knowledge may have the public health benefit of improving detection of AA older adults with depression who are at high risk of not receiving treatment, thereby reducing this health disparity.
OBJECTIVE
OBJECTIVE
To study health and social correlates of untreated depression among AA older adults in economically disadvantaged areas.
METHODS
METHODS
Between 2015 and 2018, this cross-sectional survey was conducted in South Los Angeles. Overall, 740 AA older adults who were 55+ years old entered this study. Independent variables were age, gender, living arrangement, insurance type, educational attainment, financial strain, chronic medical conditions, and pain intensity. Untreated depression was the dependent variable. Logistic and polynomial regression models were used to analyze these data.
RESULTS
RESULTS
According to the polynomial regression model, factors such as number of chronic medical conditions and pain intensity were higher in individuals with depression, regardless of treatment status. As our binary logistic regression showed, age, education, and number of providers were predictive of receiving treatment for depression.
CONCLUSION
CONCLUSIONS
Age, educational attainment, number of providers (as a proxy of access to and use of care) may be useful to detect AA older adults with depression who are at high risk of not receiving treatment. Future research may focus on decomposition of the role of individual-level characteristics and health system-level characteristics that operate as barriers and facilitators to AA older adults receiving treatment for depression.
Identifiants
pubmed: 32156089
pii: brainsci10030154
doi: 10.3390/brainsci10030154
pmc: PMC7139636
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NIMHD NIH HHS
ID : R25 MD007610
Pays : United States
Organisme : NIMHD NIH HHS
ID : U54 MD007598
Pays : United States
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