Evidence map›Paper›PMID 40760685›Full record

ArticleBMC public health2025

Exploring the Inter-relationship of depressive and anxiety symptoms associated with suicidal ideation among migrant industrial workers in shenzhen: a network analysis approach.

Rongxi Wang, Shangbin Liu, Kechun Zhang, Tian Hu, Xinyi Li, Yuzhong Yan, Ming Li, Huachun Zou, Yong Cai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2025. 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. 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

9 authors.

Rongxi Wang *Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhouyuan Road, Shanghai, 201318, China.
Shangbin Liu *Public Health department, Tongren Hospital, Hongqiao International Institute of Medicine, Shanghai Jiao Tong University School of Medicine, Xianxia Road, No.1111, Shanghai, 200336, China.
Kechun ZhangShenzhen Longhua District Center for Disease Control and Prevention, Shenzhen, China.
Tian HuShenzhen Longhua District Center for Disease Control and Prevention, Shenzhen, China.
Xinyi LiSchool of Public Health (Shenzhen), SunYat-sen University, Shenzhen, 518107, China.
Yuzhong YanShanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, 1500 Zhouyuan Road, Shanghai, 201318, China.
Ming LiShanghai East Hospital of Tongji University, Shanghai, 201318, China. liming1070@126.com.
Huachun ZouSchool of Public Health, Fudan University, Shanghai, China. zouhuachun@fudan.edu.cn.
Yong CaiPublic Health department, Tongren Hospital, Hongqiao International Institute of Medicine, Shanghai Jiao Tong University School of Medicine, Xianxia Road, No.1111, Shanghai, 200336, China. caiyong202028@hotmail.com.

Funding

Science and Technology Commission Shanghai Municipality No.20JC1410204Shanghai Pudong New Area Health Care Committee General Program PW2021A-69Shanghai Three-Year Action Plan for Public Health under Grant GWV-10.1-XK18, GWVI-11.1-29the Talent Development Initiative at Zhoupu Hospital in Pudong New District, Shanghai ZPRC-2023C-10
6 · The paper itself

Abstract

objectiveInternal migrant workers have been experiencing increasing psychological problems recently. This study investigated the interplay between depressive and anxiety symptoms and their association with suicidal ideation among migrant industrial workers, using a network analysis approach.

methodCross-sectional data from 1792 participants were collected using self-reported scales for depressive and anxiety symptoms in Shenzhen, China. Network analysis was adopted to reveal key symptoms and their connections within the network.

resultsThe detected rates of depressive and anxiety symptoms were 40.3% (95%CI: 38.1%~42.6%) and 29.0% (95% CI: 27%~31.2%), respectively. The reported rate of suicidal ideation was 7.9% (95% CI: 6.7%~9.2%). The top ten strongest edges in the model were observed within depression and anxiety domains. "Being so restless that it is hard to sit still", "Feeling blue" and "Trouble relaxing" were central to the network, while "Feeling nervous, anxious or on edge" and "Sleep disturbance" acted as bridge symptoms in the network. The strongest direct relation to suicidal ideation was anxiety symptom A2 "Unable to stop or control worrying".

conclusionFindings highlight the interconnected nature of depressive and anxiety symptoms and how these symptoms related to suicidal ideation, thus providing insights for targeted interventions to improve mental well-being among migrant industrial workers in Shenzhen. Intervention strategies focusing on the most influential symptoms such as "restlessness" and "feeling blue" may yield better effectiveness.

Indexed as

AnxietyDepressionIndustrySuicidal IdeationTransients and MigrantsAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedYoung AdultAnxietyDepressionMigrant workersNetwork analysis

Identifiers

PMID40760685
PMCPMC12323079

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.