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Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study

BACKGROUND: Previous studies are inconclusive on whether poor socioeconomic conditions in the neighborhood are associated with major depressive disorder. Furthermore, conceptual models that relate neighborhood conditions to depressive disorder have not been evaluated using empirical data. In this st...

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Autores principales: Klijs, Bart, Kibele, Eva U. B., Ellwardt, Lea, Zuidersma, Marij, Stolk, Ronald P., Wittek, Rafael P. M., Mendes de Leon, Carlos M., Smidt, Nynke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982408/
https://www.ncbi.nlm.nih.gov/pubmed/27516353
http://dx.doi.org/10.1186/s12889-016-3332-2
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author Klijs, Bart
Kibele, Eva U. B.
Ellwardt, Lea
Zuidersma, Marij
Stolk, Ronald P.
Wittek, Rafael P. M.
Mendes de Leon, Carlos M.
Smidt, Nynke
author_facet Klijs, Bart
Kibele, Eva U. B.
Ellwardt, Lea
Zuidersma, Marij
Stolk, Ronald P.
Wittek, Rafael P. M.
Mendes de Leon, Carlos M.
Smidt, Nynke
author_sort Klijs, Bart
collection PubMed
description BACKGROUND: Previous studies are inconclusive on whether poor socioeconomic conditions in the neighborhood are associated with major depressive disorder. Furthermore, conceptual models that relate neighborhood conditions to depressive disorder have not been evaluated using empirical data. In this study, we investigated whether neighborhood income is associated with major depressive episodes. We evaluated three conceptual models. Conceptual model 1: The association between neighborhood income and major depressive episodes is explained by diseases, lifestyle factors, stress and social participation. Conceptual model 2: A low individual income relative to the mean income in the neighborhood is associated with major depressive episodes. Conceptual model 3: A high income of the neighborhood buffers the effect of a low individual income on major depressive disorder. METHODS: We used adult baseline data from the LifeLines Cohort Study (N = 71,058) linked with data on the participants’ neighborhoods from Statistics Netherlands. The current presence of a major depressive episode was assessed using the MINI neuropsychiatric interview. The association between neighborhood income and major depressive episodes was assessed using a mixed effect logistic regression model adjusted for age, sex, marital status, education and individual (equalized) income. This regression model was sequentially adjusted for lifestyle factors, chronic diseases, stress, and social participation to evaluate conceptual model 1. To evaluate conceptual models 2 and 3, an interaction term for neighborhood income*individual income was included. RESULTS: Multivariate regression analysis showed that a low neighborhood income is associated with major depressive episodes (OR (95 % CI): 0.82 (0.73;0.93)). Adjustment for diseases, lifestyle factors, stress, and social participation attenuated this association (ORs (95 % CI): 0.90 (0.79;1.01)). Low individual income was also associated with major depressive episodes (OR (95 % CI): 0.72 (0.68;0.76)). The interaction of individual income*neighborhood income on major depressive episodes was not significant (p = 0.173). CONCLUSIONS: Living in a low-income neighborhood is associated with major depressive episodes. Our results suggest that this association is partly explained by chronic diseases, lifestyle factors, stress and poor social participation, and thereby partly confirm conceptual model 1. Our results do not support conceptual model 2 and 3.
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spelling pubmed-49824082016-08-13 Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study Klijs, Bart Kibele, Eva U. B. Ellwardt, Lea Zuidersma, Marij Stolk, Ronald P. Wittek, Rafael P. M. Mendes de Leon, Carlos M. Smidt, Nynke BMC Public Health Research Article BACKGROUND: Previous studies are inconclusive on whether poor socioeconomic conditions in the neighborhood are associated with major depressive disorder. Furthermore, conceptual models that relate neighborhood conditions to depressive disorder have not been evaluated using empirical data. In this study, we investigated whether neighborhood income is associated with major depressive episodes. We evaluated three conceptual models. Conceptual model 1: The association between neighborhood income and major depressive episodes is explained by diseases, lifestyle factors, stress and social participation. Conceptual model 2: A low individual income relative to the mean income in the neighborhood is associated with major depressive episodes. Conceptual model 3: A high income of the neighborhood buffers the effect of a low individual income on major depressive disorder. METHODS: We used adult baseline data from the LifeLines Cohort Study (N = 71,058) linked with data on the participants’ neighborhoods from Statistics Netherlands. The current presence of a major depressive episode was assessed using the MINI neuropsychiatric interview. The association between neighborhood income and major depressive episodes was assessed using a mixed effect logistic regression model adjusted for age, sex, marital status, education and individual (equalized) income. This regression model was sequentially adjusted for lifestyle factors, chronic diseases, stress, and social participation to evaluate conceptual model 1. To evaluate conceptual models 2 and 3, an interaction term for neighborhood income*individual income was included. RESULTS: Multivariate regression analysis showed that a low neighborhood income is associated with major depressive episodes (OR (95 % CI): 0.82 (0.73;0.93)). Adjustment for diseases, lifestyle factors, stress, and social participation attenuated this association (ORs (95 % CI): 0.90 (0.79;1.01)). Low individual income was also associated with major depressive episodes (OR (95 % CI): 0.72 (0.68;0.76)). The interaction of individual income*neighborhood income on major depressive episodes was not significant (p = 0.173). CONCLUSIONS: Living in a low-income neighborhood is associated with major depressive episodes. Our results suggest that this association is partly explained by chronic diseases, lifestyle factors, stress and poor social participation, and thereby partly confirm conceptual model 1. Our results do not support conceptual model 2 and 3. BioMed Central 2016-08-11 /pmc/articles/PMC4982408/ /pubmed/27516353 http://dx.doi.org/10.1186/s12889-016-3332-2 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Klijs, Bart
Kibele, Eva U. B.
Ellwardt, Lea
Zuidersma, Marij
Stolk, Ronald P.
Wittek, Rafael P. M.
Mendes de Leon, Carlos M.
Smidt, Nynke
Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study
title Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study
title_full Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study
title_fullStr Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study
title_full_unstemmed Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study
title_short Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study
title_sort neighborhood income and major depressive disorder in a large dutch population: results from the lifelines cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982408/
https://www.ncbi.nlm.nih.gov/pubmed/27516353
http://dx.doi.org/10.1186/s12889-016-3332-2
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