Evidence map›Paper›PMID 41684395›Full record

ArticleFrontiers in public health2026

The influence of disaster knowledge, official trust, and sources of warning information on public risk perception in typhoon-prone areas of China: a structural equation modeling analysis.

Ping Wei, Na Zhang, Fang Bai, Zhenyu Zhao, Yajuan Zhao, Xuren Wang, Zhongxia Wang, Chunhua Dai, Yani Lu, Siyuan Qin and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Ping Wei *School of Nursing, Hainan Medical University, Haikou, Hainan, China.
Na Zhang *School of Nursing, Hainan Medical University, Haikou, Hainan, China.
Fang BaiNursing Department, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Zhenyu ZhaoSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Yajuan ZhaoSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Xuren WangNursing Department, Changhai Hospital, Naval Medical University, Shanghai, China.
Zhongxia WangSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Chunhua DaiSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Yani LuSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Siyuan QinSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Baichao XuKey Laboratory of Emergency and Trauma of Ministry of Education, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Yuan MeiSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.
Hua ZhangSchool of Nursing, Hainan Medical University, Haikou, Hainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Typhoons are one of the most common natural disasters, seriously jeopardizing public safety. Risk perception, defined as the subjective judgment that people make about the characteristics and severity of a risk, plays a crucial role in public preparedness behavior during typhoon disasters. However, there is a lack of knowledge regarding public risk perception and its influencing factors in typhoon-prone areas. This study aims to fill the knowledge gap by evaluating the public risk perception and key factors associated with perceptions among the general public. In addition, the relationship between the disaster knowledge, official trust, sources of warning information, and risk perception will be explored. Methods: A cross-sectional study was conducted from October 2024 to January 2025 with participants from Hainan Island, China. The target population consisted of residents aged 18 years and older who had resided on Hainan Island for over half a year ( Results: Out of 517 participants surveyed, Data were comprised of 517 valid responses from 11 major administration areas across Hainan Island. Disaster knowledge, official trust, sources of warning information were significantly correlated with public risk perception. SEM results revealed that the model fit the data well. The results showed that disaster knowledge and official trust are directly and positively associated with risk perception (the unstandardized coefficients of direct path are 0.331 and 0.467 respectively, Conclusion: This study indicates that warning information does not directly correlate with risk perception; their relationship is fully mediated by disaster knowledge and official trust. To improve disaster risk perception, government agencies might consider strengthening institutional credibility, diversifying warning channels, and enhancing public disaster education.

Indexed as

Cyclonic StormsDisastersHealth Knowledge, Attitudes, PracticeTrustAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedPerceptionRisk Assessmentdisaster knowledgedisastersofficial trustrisk perceptionsources of warning informationstructural equation modelingtyphoon

Identifiers

PMID41684395
PMCPMC12891197

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.