Evidence map›Paper›PMID 39234075›Full record

ArticleFrontiers in public health2024

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

Honghui Zhang, Jiaxin Zhu, Lu Niu, Meng Zeng, Tengwei Chen, Yuedong Chen, Xiaofei Hou, Haojuan Tao, Yarong Ma, Kangguang Lin and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Body Mapping as a Tool to Capture Children's Expressions of Their Suicide Ideation or Attempts.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Honghui ZhangDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Jiaxin ZhuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Lu NiuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Meng ZengDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Tengwei ChenDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Yuedong ChenDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Xiaofei HouTianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Haojuan TaoNational Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.
Yarong MaThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Kangguang LinThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Liang ZhouThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

Mood DisordersQualitative ResearchAdultChinaFemaleHumansMaleMiddle AgedSuicidal IdeationSuicideSuicide, AttemptedSuicide PreventionYoung AdultChinacontent analysismood disordersnetwork analysissafety planningsuicidewarning signs

Identifiers

PMID39234075
PMCPMC11372480

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.