OBJECTIVES: This study examines associations between urban neighborhood sociodemographic characteristics and change over time in late-life depressive symptoms. METHODS: Survey data are from three waves (1993, 1995, and 1998) of the Study of Assets and Health Dynamics Among the Oldest Old, a U.S. national probability sample of noninstitutionalized persons aged 70 years or older in 1993. Neighborhoods are 1990 U.S. Census tracts. Hierarchical linear regression is used to estimate multilevel models. RESULTS: The average change over time in depressive symptoms varies significantly across urban neighborhoods. Change in depressive symptoms is significantly associated with neighborhood-level socioeconomic disadvantage and ethnic composition in unadjusted models but not in models that control for individual-level characteristics. CONCLUSIONS: Findings indicate that apparent neighborhood-level effects on change in depressive symptoms over time among urban-dwelling older adults reflect, for the most part, differences in characteristics of the neighborhood residents.
OBJECTIVES: This study examines associations between urban neighborhood sociodemographic characteristics and change over time in late-life depressive symptoms. METHODS: Survey data are from three waves (1993, 1995, and 1998) of the Study of Assets and Health Dynamics Among the Oldest Old, a U.S. national probability sample of noninstitutionalized persons aged 70 years or older in 1993. Neighborhoods are 1990 U.S. Census tracts. Hierarchical linear regression is used to estimate multilevel models. RESULTS: The average change over time in depressive symptoms varies significantly across urban neighborhoods. Change in depressive symptoms is significantly associated with neighborhood-level socioeconomic disadvantage and ethnic composition in unadjusted models but not in models that control for individual-level characteristics. CONCLUSIONS: Findings indicate that apparent neighborhood-level effects on change in depressive symptoms over time among urban-dwelling older adults reflect, for the most part, differences in characteristics of the neighborhood residents.
Authors: Celia F Hybels; Dan G Blazer; Carl F Pieper; Bruce M Burchett; Judith C Hays; Gerda G Fillenbaum; Laura D Kubzansky; Lisa F Berkman Journal: Am J Geriatr Psychiatry Date: 2006-06 Impact factor: 4.105
Authors: Laura D Kubzansky; S V Subramanian; Ichiro Kawachi; Martha E Fay; Mah-J Soobader; Lisa F Berkman Journal: Am J Epidemiol Date: 2005-06-29 Impact factor: 4.897
Authors: Carol S Aneshensel; Richard G Wight; Dana Miller-Martinez; Amanda L Botticello; Arun S Karlamangla; Teresa E Seeman Journal: J Gerontol B Psychol Sci Soc Sci Date: 2007-01 Impact factor: 4.077
Authors: Eric M Vogelsang; James M Raymo; Jersey Liang; Erika Kobayashi; Taro Fukaya Journal: J Gerontol B Psychol Sci Soc Sci Date: 2019-09-15 Impact factor: 4.077