Wight Richard G, Cummings Janet R, Karlamangla Arun S, Aneshensel Carol S
Department of Community Health Sciences, School of Public Health, Box 951772, 650 Young Drive South, University of California, Los Angeles, Los Angeles, CA 90095-1772, USA.
J Gerontol B Psychol Sci Soc Sci. 2009 Mar;64(2):247-51. doi: 10.1093/geronb/gbn016. Epub 2009 Jan 29.
This study examines associations between urban neighborhood sociodemographic characteristics and change over time in late-life depressive symptoms.
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.
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.
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.
本研究探讨城市社区社会人口学特征与晚年抑郁症状随时间变化之间的关联。
调查数据来自“高龄老人资产与健康动态研究”的三个调查波次(1993年、1995年和1998年),该研究是1993年对美国70岁及以上非机构化人群的全国概率抽样调查。社区为1990年美国人口普查区。采用分层线性回归估计多水平模型。
抑郁症状随时间的平均变化在不同城市社区之间存在显著差异。在未调整模型中,抑郁症状的变化与社区层面的社会经济劣势和种族构成显著相关,但在控制了个体层面特征的模型中则不然。
研究结果表明,城市老年居民中,社区层面看似对抑郁症状随时间变化的影响,在很大程度上反映了社区居民特征的差异。