Exploring the impact of emergency risk information on construction workers' emergency information behavior: insights from confirmatory and exploratory PLS-SEM analyses.

Hui Liu, Rui Zhang, Xiaodi Gao, Ran Jing, Zhichao Zhang, Xinyue Miao

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In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hui LiuSchool of Emergency Science and Engineering, Jilin Jianzhu University, Changchun, China.

Rui ZhangSchool of Emergency Science and Engineering, Jilin Jianzhu University, Changchun, China.

Xiaodi GaoSchool of Emergency Science and Engineering, Jilin Jianzhu University, Changchun, China.

Ran JingSchool of Emergency Science and Engineering, Jilin Jianzhu University, Changchun, China.

Zhichao ZhangSchool of Emergency Science and Engineering, Jilin Jianzhu University, Changchun, China.

Xinyue MiaoSchool of Urban Construction, Changchun University of Architecture and Civil Engineering, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drawing on risk perception and information adoption theories, this study develops a structural equation model to examine the factors influencing emergency information behavior (EIB). The model includes risk information characteristics (RIC) and information dissemination channels (IDC) as independent variables, risk perception (RP) and information self-efficacy (ISE) as mediating variables, and EIB as the dependent variable. Data were collected from a questionnaire survey of 569 construction workers in Hangzhou and analyzed using Partial Least Squares SEM (PLS-SEM). The results indicate that RIC and IDC have a significant positive influence on RP, ISE, and EIB. Risk perception directly promotes EIB and indirectly influences it by enhancing information self-efficacy. Information self-efficacy, in turn, is also a significant driver of EIB, with the complete model explaining 55.5% of its variance (

Indexed as

Construction IndustryEmergenciesInformation DisseminationAdultChinaFemaleHumansLatent Class AnalysisLeast-Squares AnalysisMaleMiddle AgedSelf EfficacySurveys and Questionnairesconstruction workersemergenciesemergency information behaviorPLS-SEMrisk information

Identifiers

PMID41069807

DOI10.3389/fpubh.2025.1670767

PMCPMC12504289

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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.