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预测老年人抑郁症状的性别差异。

Predicting the gender difference in depressive symptoms in older adults.

作者信息

Ferri Christine, Yang Kaite, Girgus Joan S

机构信息

Stockton University, Galloway, NJ, USA.

Princeton University, Princeton, NJ, USA.

出版信息

Aging Ment Health. 2023 Jul-Aug;27(7):1411-1418. doi: 10.1080/13607863.2022.2084712. Epub 2022 Jun 8.

Abstract

: The gender difference in depressive symptoms in older adults is well-established, with women exhibiting approximately twice as many depressive symptoms as men across the life span. However, almost no studies have explored why we see this pattern in older adults.: In this study, moderation, mediation and reverse mediation analyses were used to learn how gender differences in psychosocial and health variables contribute to the gender difference in depressive symptoms in 60-74 year old participants in the baseline sample of the ORANJ BOWL study ( = 3008).: Moderation analyses show that functional ability, health, social support, and living alone interact with gender to predict depressive symptoms. Mediation analyses demonstrate that gender differences in financial comfort, social support, health, functional ability and living alone help explain the gender difference in depression. Reverse mediation analyses show that depressive symptoms also predict the gender difference in psychosocial and health variables.: While the moderation analyses show multiple points of entry for clinical implications, they do not provide clarity that explains the gender difference in depressive symptoms. Mediation analyses highlight the roles of functional ability, financial comfort, health and living alone in explaining the gender difference. Reverse mediation analyses suggest a negative feedback loop between depressive symptoms and the predictor variables, with gender differences in functional ability, financial comfort, health and living alone at least partially explained by gender differences in depression. The findings highlight opportunities for targeted depression screening and to identify the gender inequities that need attention in order to reduce disadvantages for women.

摘要

老年人抑郁症状的性别差异已得到充分证实,在整个生命周期中,女性出现抑郁症状的数量约为男性的两倍。然而,几乎没有研究探讨过为何在老年人中会出现这种模式。

在本研究中,采用了调节、中介和反向中介分析,以了解社会心理和健康变量中的性别差异如何导致奥兰治碗研究基线样本中60 - 74岁参与者抑郁症状的性别差异(n = 3008)。

调节分析表明,功能能力、健康状况、社会支持和独居状况与性别相互作用,以预测抑郁症状。中介分析表明,经济状况、社会支持、健康状况、功能能力和独居状况方面的性别差异有助于解释抑郁方面的性别差异。反向中介分析表明,抑郁症状也可预测社会心理和健康变量中的性别差异。

虽然调节分析显示了临床意义的多个切入点,但它们并未明确解释抑郁症状的性别差异。中介分析突出了功能能力、经济状况、健康状况和独居状况在解释性别差异方面的作用。反向中介分析表明抑郁症状与预测变量之间存在负反馈循环,功能能力、经济状况、健康状况和独居状况方面的性别差异至少部分可由抑郁方面的性别差异来解释。这些发现凸显了针对性抑郁筛查的机会,并确定了为减少女性劣势而需要关注的性别不平等问题。

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