Abstract
Purpose
The evidence linking neighborhood socioeconomic conditions (NSEC) with depression is mixed. We performed a systematic review of this literature, including a rigorous quality assessment that was used to explore if methodological or contextual factors explained heterogeneity across studies.
Methods
A systematic literature search in three databases identified longitudinal studies among adolescents and adults living in high-income countries. Two independent reviewers screened studies for inclusion and performed data abstraction. We conducted a formal quality assessment and investigated sources of study heterogeneity.
Results
Our database search identified 3711 articles, 84 of which were determined to be potentially relevant, and 14 articles were included in this review. About half of the studies found a significant association between NSEC and depression, and pooled estimates suggest poorer socioeconomic conditions were associated with higher odds of depression (OR = 1.14, 95 % CI 1.01, 1.28). Study results varied by follow-up time. Among studies with less than 5 years of follow-up, there was a significant association between NSEC and depression (OR = 1.28, 95 % CI 1.13, 1.44), although pooling of study results may not be warranted due to heterogeneity across studies. Among studies with at least 5 years of follow-up, which were homogeneous, there was no association (OR = 1.00, 95 % CI 0.95, 1.06) between NSEC and depression.
Conclusions
We found inconsistent evidence in support of a longitudinal association between NSEC and depression, and heterogeneity according to the length of follow-up time might partly explain the mixed evidence observed in the literature on NSEC and depression.
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References
Ustun TB, Ayuso-Mateos JL, Chatterji S, Mathers C, Murray CJ (2004) Global burden of depressive disorders in the year 2000. Br J Psychiatry 184:386–392
The global burden of disease (2004) update (2008). World Health Organization, Geneva
Kim D (2008) Blues from the neighborhood? Neighborhood characteristics and depression. Epidemiol Rev 30:101–117
Mair C, Diez Roux AV, Galea S (2008) Are neighbourhood characteristics associated with depressive symptoms? A review of evidence. J Epidemiol Community Health 62(11):940–946
Julien D, Richard L, Gauvin L, Kestens Y (2012) Neighborhood characteristics and depressive mood among older adults: an integrative review. Int Psychogeriatr 24(8):1207–1225
Paczkowski MM, Galea S (2010) Sociodemographic characteristics of the neighborhood and depressive symptoms. Curr Opin Psychiatry 23(4):337–341
Oakes JM (2004) The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. Soc Sci Med 58(10):1929–1952
Krieger N, Chen JT, Waterman PD, Soobader M-J, Subramanian S, Carson R (2002) Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? The Public Health Disparities Geocoding Project. Am J Epidemiol 156(5):471–482
Mair C, Roux AVD, Shen M, Shea S, Seeman T, Echeverria S, O’Meara ES (2009) Cross-sectional and longitudinal associations of neighborhood cohesion and stressors with depressive symptoms in the multiethnic study of atherosclerosis. Ann Epidemiol 19(1):49–57
Wight RG, Aneshensel CS, Barrett C, Ko M, Chodosh J, Karlamangla AS (2013) Urban neighbourhood unemployment history and depressive symptoms over time among late middle age and older adults. J Epidemiol Community Health 67(2):153–158
Bank TW (2013) How we classify countries. The World Bank http://data.worldbank.org/about/country-classifications. Accessed 13/10/13
Carstairs V, Morris R (1989) Deprivation, mortality and resource allocation. Community Med 11(4):364–372
Ottawa Hospital Research Institute The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed November 15, 2014
Sariaslan A, Larsson H, D’Onofrio B, Långström N, Fazel S, Lichtenstein P (2014) Does population density and neighborhood deprivation predict schizophrenia? A nationwide swedish family-based study of 2.4 million individuals. Schizophr Bull:sbu105
Almeida OP, Pirkis J, Kerse N, Sim M, Flicker L, Snowdon J, Draper B, Byrne G, Lautenschlager NT, Stocks N (2012) Socioeconomic disadvantage increases risk of prevalent and persistent depression in later life. J Affective Disord 138(3):322–331
Beard JR, Cerdá M, Blaney S, Ahern J, Vlahov D, Galea S (2009) Neighborhood characteristics and change in depressive symptoms among older residents of New York City. Am J Public Health 99(7):1308
Glymour MM, Mujahid M, Wu Q, White K, Tchetgen Tchetgen EJ (2010) Neighborhood disadvantage and self-assessed health, disability, and depressive symptoms: longitudinal results from the health and retirement study. Ann Epidemiol 20(11):856–861
Wight RG, Cummings JR, Karlamangla AS, Aneshensel CS (2009) Urban neighborhood context and change in depressive symptoms in late life. J of Gerontol B Psychol Sci Soc Sci 64(2):247–251
Wilson K, Chen R, Taylor S, McCracken C, Copeland J (1999) Socio-economic deprivation and the prevalence and prediction of depression in older community residents. The MRC-ALPHA Study. Br J Psychiatry 175(6):549–553
Cooper HL, Hunter-Jones J, Kelley ME, Karnes C, Haley DF, Ross Z, Rothenberg R, Bonney LE (2014) The aftermath of public housing relocations: relationships between changes in local socioeconomic conditions and depressive symptoms in a cohort of adult relocaters. J Urban Health 91(2):223–241
Galea S, Ahern J, Nandi A, Tracy M, Beard J, Vlahov D (2007) Urban neighborhood poverty and the incidence of depression in a population-based cohort study. Ann Epidemiol 17(3):171–179
Leventhal T, Brooks-Gunn J (2003) Moving to opportunity: an experimental study of neighborhood effects on mental health. Am J of Public Health 93(9):1576–1582
Lofors J, Sundquist K (2007) Low-linking social capital as a predictor of mental disorders: a cohort study of 4.5 million Swedes. Soc Sci Med 64(1):21–34
Schootman M, Andresen EM, Wolinsky FD, Malmstrom TK, Miller JP, Miller DK (2007) Neighbourhood environment and the incidence of depressive symptoms among middle-aged African Americans. J Epidemiol Community Health 61(6):527–532
Yen IH, Kaplan GA (1999) Poverty area residence and changes in depression and perceived health status: evidence from the Alameda County Study. Int J Epidemiol 28(1):90–94
Gariépy G, Blair A, Kestens Y, Schmitz N (2014) Neighbourhood characteristics and 10-year risk of depression in Canadian adults with and without a chronic illness. Health Place 30:279–286
Sterne JA, Harbord RM (2004) Funnel plots in meta-analysis. Stata Journal 4:127–141
McLeod JD, Kessler RC (1990) Socioeconomic status differences in vulnerability to undesirable life events. J Health Soc Behav 31(2):162–172
Peterson RD, Krivo LJ, Harris MA (2000) Disadvantage and neighborhood violent crime: do local institutions matter? J Res Crime Delinq 37(1):31–63
Evans GW (2003) The built environment and mental health. J Urban Health 80(4):536–555
Latkin CA, Curry AD (2003) Stressful neighborhoods and depression: a prospective study of the impact of neighborhood disorder. J Health Soc Behav 44(1):34–44
Nandi A, Welsh L (2013) Social context and mental health over the life course. In: Koenen KC, Rudenstine S, Susser E, Galea S (eds) A life course approach to mental disorders. Oxford University Press, Oxford, England
Greenland S (2003) Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology 14(3):300–306
Kim-Cohen J, Caspi A, Moffitt TE, Harrington H, Milne BJ, Poulton R (2003) Prior juvenile diagnoses in adults with mental disorder: developmental follow-back of a prospective-longitudinal cohort. Arch Gen Psychiatry 60(7):709–717
Colman I, Ataullahjan A (2010) Life course perspectives on the epidemiology of depression. Can J Psychiatry 55(10):622–632
Messer L, Boone-Heinonen J, Mponwane L, Wallack L, Thornburg K (2015) Developmental programming: priming disease susceptibility for subsequent generations. Curr Epidemiol Rep 2(1):37–51
Oakes JM (2014) Invited commentary: repeated measures, selection bias, and effect identification in neighborhood effect studies. Am J Epidemiol 180(8):785–787
Harper S, Strumpf EC (2012) Social epidemiology: questionable answers and answerable questions. Epidemiology 23(6):795–798
Acknowledgments
We wish to thank Genevieve Gore, reference librarian, for her help with the search strategy. RR acknowledges the support of the Canadian Institutes of Health Research operating grant 115214, and AN acknowledges the support of the Canada Research Chairs Program.
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Richardson, R., Westley, T., Gariépy, G. et al. Neighborhood socioeconomic conditions and depression: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol 50, 1641–1656 (2015). https://doi.org/10.1007/s00127-015-1092-4
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DOI: https://doi.org/10.1007/s00127-015-1092-4