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压力和社会支持在预测非裔美国高血压患者样本中抑郁症的作用。

The role of stress and social support in predicting depression among a hypertensive African American sample.

作者信息

Dennis John P, Markey Megan A, Johnston Karen A, Vander Wal Jillon S, Artinian Nancy T

机构信息

Saint Louis University, St Louis, Missouri 63103, USA.

出版信息

Heart Lung. 2008 Mar-Apr;37(2):105-12. doi: 10.1016/j.hrtlng.2007.03.003.

Abstract

OBJECTIVE

We examined social support, stress, and selected demographic variables as predictors of depression among African Americans with hypertension.

METHODS

Archival data collected on 194 hypertensive African Americans ranging in age from 30 to 88 years (mean age = 58.3 years, standard deviation = 12.2; 63% were female) were analyzed in the present study. Hierarchic regression analyses were conducted using two models of depression. The first model included basic demographic characteristics of the sample, including age, sex, educational attainment, income, and employment status. In the second model, the psychosocial variables of stress and social support were added to determine their predictive value.

RESULTS

The first model accounted for 14% of the variance in depression and identified sex and age as significant predictors. The second model, in which two psychosocial variables were added, accounted for 45.2% of the total variance, with age, stress, and social support as significant predictors.

CONCLUSIONS

Stress and social support are significant predictors of depression in a hypertensive African American population, beyond the influence of various demographic variables. These results have implications for prevention and intervention strategies with the target population.

摘要

目的

我们研究了社会支持、压力以及选定的人口统计学变量,以此作为患有高血压的非裔美国人抑郁症的预测因素。

方法

本研究分析了收集到的194名年龄在30至88岁之间(平均年龄 = 58.3岁,标准差 = 12.2;63%为女性)的高血压非裔美国人的档案数据。使用两种抑郁症模型进行层次回归分析。第一个模型包括样本的基本人口统计学特征,如年龄、性别、教育程度、收入和就业状况。在第二个模型中,加入了压力和社会支持的心理社会变量,以确定它们的预测价值。

结果

第一个模型解释了抑郁症方差的14%,并确定性别和年龄为显著预测因素。加入两个心理社会变量的第二个模型解释了总方差的45.2%,年龄、压力和社会支持为显著预测因素。

结论

在患有高血压的非裔美国人人群中,压力和社会支持是抑郁症的显著预测因素,超出了各种人口统计学变量的影响。这些结果对针对目标人群的预防和干预策略具有启示意义。

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