Evidence map›Paper›PMID 38333613›Full record

ArticleNeuropsychiatric disease and treatment2024

The Inter-Relationships Between Depressive Symptoms and Suicidality Among Macau Residents After the "Relatively Static Management" COVID-19 Strategy: A Perspective of Network Analysis.

Mei Ieng Lam, Hong Cai, Pan Chen, Ka-In Lok, Ines Hang Iao Chow, Tong Leong Si, Zhaohui Su, Chee H Ng, Feng-Rong An, Yu-Tao Xiang

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Article in Neuropsychiatric disease and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mei Ieng LamEducation Department, Kiang Wu Nursing College of Macau, Macau SAR, People's Republic of China.ORCID 0009-0002-0261-5933
Hong CaiUnit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People's Republic of China.
Pan ChenUnit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People's Republic of China.
Ka-In LokFaculty of Health Sciences and Sports, Macao Polytechnic University, Macao, People's Republic of China.
Ines Hang Iao ChowUnit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People's Republic of China.
Tong Leong SiUnit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People's Republic of China.
Zhaohui SuSchool of Public Health, Southeast University, Nanjing, People's Republic of China.
Chee H NgDepartment of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia.ORCID 0000-0002-3811-2732
Feng-Rong AnBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People's Republic of China.
Yu-Tao XiangUnit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Suicidality is a global public health problem which has increased considerably during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the inter-relationships between depressive symptoms and suicidality using network analysis among Macau residents after the "relatively static management" COVID-19 strategy. Methods: An assessment of suicidal ideation (SI), suicide plan (SP), suicide attempt (SA) and depressive symptoms was conducted with the use of individual binary response items (yes/no) and Patient Health Questionnaire (PHQ-9). In the network analysis, central and bridge symptoms were identified in the network through "Expected Influence" and "Bridge Expected Influence", and specific symptoms that were directly associated with suicidality were identified via the flow function. Network Comparison Tests (NCT) were conducted to examine the gender differences in network characteristics. Results: The study sample included a total of 1008 Macau residents. The prevalence of depressive symptoms and suicidality were 62.50% (95% CI = 59.4-65.5%) and 8.9% (95% CI = 7.2-10.9%), respectively. A network analysis of the sample identified SI ("Suicidal ideation") as the most central symptom, followed by SP ("Suicide plan") and PHQ4 ("Fatigue"). SI ("Suicidal ideation") and PHQ6 ("Guilt") were bridge nodes connecting depressive symptoms and suicidality. A flow network revealed that the strongest connection was between S ("Suicidality") and PHQ6 ("Guilt"), followed by S ("Suicidality") and PHQ 7 ("Concentration"), and S ("Suicidality") and PHQ3 ("Sleep"). Conclusion: The findings indicated that reduction of specific depressive symptoms and suicidal thoughts may be relevant in decreasing suicidality among adults. Further, suicide assessment and prevention measures should address the central and bridge symptoms identified in this study.

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adultsCOVID-19depressionnetwork analysissuicidality

Identifiers

PMID38333613
PMCPMC10850988

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