Julia B Ward1, Sandra S Albrecht2, Whitney R Robinson3, Brian W Pence4, Joanna Maselko3, Mary N Haan5, Allison E Aiello6. 1. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC; Carolina Population Center, University of North Carolina, Chapel Hill, Chapel Hill, NC; Social & Scientific Systems, Inc., Durham, NC. 2. Carolina Population Center, University of North Carolina, Chapel Hill, Chapel Hill, NC; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC. 3. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC; Carolina Population Center, University of North Carolina, Chapel Hill, Chapel Hill, NC. 4. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC. 5. Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA. 6. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC; Carolina Population Center, University of North Carolina, Chapel Hill, Chapel Hill, NC. Electronic address: aaiello@email.unc.edu.
Abstract
PURPOSE: Neighborhood segregation related to cultural factors, such as language use, may influence elderly Latino depression. We examined the association between neighborhood-level Spanish language segregation and individual depressive symptoms among elderly Latinos. METHODS: We linked U.S. Census language use data with geocoded population-based data from 1789 elderly Latinos (mean age = 70.6 years) participating in the Sacramento Area Latino Study on Aging (1998-2008). Neighborhood language segregation was measured with the Index of Concentration at the Extremes, which demonstrates the extent to which residents are concentrated at extremes of deprivation and privilege. We fit two-level generalized linear-mixed models with random intercepts for census tracts to quantify the association between neighborhood-level language segregation and depressive symptoms, adjusting for identified confounders. RESULTS: After adjusting for age, sex, and nativity, residents of highly segregated Spanish-speaking neighborhoods had more depressive symptoms than those in highly segregated English-only-speaking neighborhoods (β = -4.410; 95% confidence interval [CI] = -6.851 to -1.970). This association was largely attenuated upon adjustment for individual-level education (β = -2.119; 95% CI = -4.650 to 0.413). CONCLUSIONS: Linguistically segregated communities may benefit from targeted outreach given the high depression prevalence in these neighborhoods. Furthermore, our findings suggest that limited access to fundamental social protections, such as education, may drive the segregation-depression association among U.S. Latinos.
PURPOSE: Neighborhood segregation related to cultural factors, such as language use, may influence elderly Latino depression. We examined the association between neighborhood-level Spanish language segregation and individual depressive symptoms among elderly Latinos. METHODS: We linked U.S. Census language use data with geocoded population-based data from 1789 elderly Latinos (mean age = 70.6 years) participating in the Sacramento Area Latino Study on Aging (1998-2008). Neighborhood language segregation was measured with the Index of Concentration at the Extremes, which demonstrates the extent to which residents are concentrated at extremes of deprivation and privilege. We fit two-level generalized linear-mixed models with random intercepts for census tracts to quantify the association between neighborhood-level language segregation and depressive symptoms, adjusting for identified confounders. RESULTS: After adjusting for age, sex, and nativity, residents of highly segregated Spanish-speaking neighborhoods had more depressive symptoms than those in highly segregated English-only-speaking neighborhoods (β = -4.410; 95% confidence interval [CI] = -6.851 to -1.970). This association was largely attenuated upon adjustment for individual-level education (β = -2.119; 95% CI = -4.650 to 0.413). CONCLUSIONS: Linguistically segregated communities may benefit from targeted outreach given the high depression prevalence in these neighborhoods. Furthermore, our findings suggest that limited access to fundamental social protections, such as education, may drive the segregation-depression association among U.S. Latinos.
Authors: Kerstin Gerst; Patricia Y Miranda; Karl Eschbach; Kristin M Sheffield; M Kristen Peek; Kyriakos S Markides Journal: J Am Geriatr Soc Date: 2011-02 Impact factor: 5.562
Authors: Yoosun Park; Kathryn M Neckerman; James Quinn; Christopher Weiss; Andrew Rundle Journal: Int J Behav Nutr Phys Act Date: 2008-04-06 Impact factor: 6.457