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心境障碍患者自杀预警信号的自我识别:基于安全计划的定性分析。

Suicide warning signs of self-identification in patients with mood disorders: a qualitative analysis based on safety planning.

机构信息

Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.

Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.

出版信息

Front Public Health. 2024 Aug 21;12:1417817. doi: 10.3389/fpubh.2024.1417817. eCollection 2024.

DOI:10.3389/fpubh.2024.1417817
PMID:39234075
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11372480/
Abstract

INTRODUCTION

Warning signs serve as proximal indicators of suicide risk, making early recognition imperative for effective prevention strategies. This study aimed to explore self-identified suicide warning signs among Chinese patients with mood disorders based on safety planning framework.

METHODS

Researchers collaborated with patients to develop a safety plan and compiled warning signs based on it. Word frequency and network analysis were conducted to identify key warning signs. Directed content analysis categorized these signs into cognitive, emotional, behavioral, or physiological themes according to the suicide mode theory. Additionally, we examined potential variations in reported warning signs among participants with different demographic characteristics, including age, gender, and history of suicide attempts.

RESULTS

"Low mood" and "crying" emerged as prominent warning signs, with "social withdrawal" closely following. Patients commonly reported emotional themes during suicidal crises, often experiencing two to three themes simultaneously, primarily focusing on emotional, behavioral, and physiological themes. Males exhibited a higher proportion of concurrently reporting three sign themes compared to females ( < 0.05), while no difference was observed in warning signs among patients with other demographic traits.

DISCUSSION

This study offers a nuanced understanding of warning signs among mood disorder patients in China. The findings underscore the necessity for comprehensive suicide risk management strategies, emphasizing interventions targeting emotional regulation and social support. These insights provide valuable information for enhancing suicide prevention and intervention efforts.

摘要

简介

警示信号是自杀风险的近端指标,因此早期识别对于有效的预防策略至关重要。本研究旨在基于安全计划框架探讨中国心境障碍患者自我识别的自杀警示信号。

方法

研究人员与患者合作制定安全计划,并根据计划编制警示信号。通过词频和网络分析,确定关键警示信号。根据自杀模式理论,定向内容分析将这些信号归类为认知、情绪、行为或生理主题。此外,我们还检查了具有不同人口统计学特征(包括年龄、性别和自杀未遂史)的参与者报告的警示信号的潜在变化。

结果

“情绪低落”和“哭泣”是突出的警示信号,“社交退缩”紧随其后。患者在自杀危机期间通常报告情绪主题,通常同时出现两到三个主题,主要集中在情绪、行为和生理主题上。与女性相比,男性同时报告三个警示信号主题的比例更高(<0.05),而其他人口统计学特征的患者在警示信号上没有差异。

讨论

本研究提供了中国心境障碍患者警示信号的细致理解。研究结果强调了全面的自杀风险管理策略的必要性,强调针对情绪调节和社会支持的干预措施。这些见解为加强自杀预防和干预工作提供了有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d4/11372480/ab985bd36476/fpubh-12-1417817-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d4/11372480/fb24ad9c50c1/fpubh-12-1417817-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d4/11372480/374d29b53d62/fpubh-12-1417817-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d4/11372480/ab985bd36476/fpubh-12-1417817-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d4/11372480/fb24ad9c50c1/fpubh-12-1417817-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d4/11372480/374d29b53d62/fpubh-12-1417817-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d4/11372480/ab985bd36476/fpubh-12-1417817-g0003.jpg

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Network analysis of Iranian's health insurance ecosystem before and after the introduction of Universal Health Insurance law.
伊朗全民健康保险法出台前后的伊朗医保生态系统网络分析。
Glob Health Res Policy. 2023 May 22;8(1):16. doi: 10.1186/s41256-023-00302-5.
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Network analysis of somatic symptoms in Chinese patients with depressive disorder.网络分析中国抑郁障碍患者躯体症状。
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