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运用多元回归分析揭示自杀死亡者悲伤问题、抑郁和自杀意念的相关因素模式。

Using Multiple Regression Analyses to Uncover Patterns of Correlates of Grief Problems, Depression and Suicidal Ideation Among Suicide Bereaved Individuals.

机构信息

Department of Sociology, Nassau Community College, Garden City, New York, United States.

School of Social Work, College of Social Work, University of Kentucky, Lexington, Kentucky, United States.

出版信息

Omega (Westport). 2023 Jun;87(2):554-571. doi: 10.1177/00302228211024812. Epub 2021 Jun 19.

DOI:10.1177/00302228211024812
PMID:34148402
Abstract

This analysis of a convenience sample survey of 195 suicide bereaved adults focuses on predictors of three important highly interrelated experiences among the suicide bereaved: grief problems, depression and suicidal thinking. Although each of these three experiences can be explained by a unique set of predictors, they share many commonalities. Several predictors stood out especially in either aggravating or alleviating these experiences: personal (or post-traumatic) growth, perceived social support, feelings of blameworthiness, perceived suicide stigma, years since loss and a respondent's mental health difficulties experienced prior to their suicide loss. We also review the clinical implications of these results.

摘要

本研究分析了一项方便抽样调查,共纳入 195 名自杀死亡者的成年亲属,重点关注影响自杀死亡者三种重要的高度相关体验的预测因素:悲痛问题、抑郁和自杀意念。尽管这三种体验中的每一种都可以用一套独特的预测因素来解释,但它们也有许多共同之处。有几个预测因素特别突出,无论是加重还是减轻这些体验:个人(或创伤后)成长、感知到的社会支持、自责感、感知到的自杀耻辱感、自失去亲人至调查时的年限以及受访者在自杀丧失前经历的心理健康困难。我们还回顾了这些结果的临床意义。

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Using Multiple Regression Analyses to Uncover Patterns of Correlates of Grief Problems, Depression and Suicidal Ideation Among Suicide Bereaved Individuals.运用多元回归分析揭示自杀死亡者悲伤问题、抑郁和自杀意念的相关因素模式。
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May I, Will I and Why. A Shared Lifeworld in a Suicidal Trajectory-Told by Suicide Loss Survivors.我会吗、我愿意吗以及为什么。自杀身亡者的幸存者讲述的自杀轨迹中的共享生活世界。
Int J Ment Health Nurs. 2025 Apr;34(2):e70020. doi: 10.1111/inm.70020.
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Impacts of suicide bereavement on men: a systematic review.
自杀丧亲之痛对男性的影响:一项系统综述
Front Public Health. 2024 Apr 9;12:1372974. doi: 10.3389/fpubh.2024.1372974. eCollection 2024.