Evidence map›Paper›PMID 42298521›Full record

ArticleBMC public health2026

A cross-sectional study on disaster adaptation and resilience among residents in Guangdong Province, China and analysis of its influencing factors.

Hanxi Chen, Guandie Hong, Siyin Chen, Yingwen Huang, Xin Ma, Siyi Huang

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Article in BMC 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.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hanxi ChenDepartment of Nursing, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China. 13925117973@163.com.
Guandie HongDepartment of Nursing, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
Siyin ChenSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, China.
Yingwen HuangSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, China.
Xin MaDepartment of Nursing, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
Siyi HuangDepartment of Nursing, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.

Funding

the 2021 National Natural Science Foundation Cultivation Project, Guangdong Provincial People's Hospital, China 7217040204the Development and Implementation of a Core Competency Training Program for Clinical Nurses in Disaster Nursing Based on Trusted Professional Activities under the Resilient City Strategy GDSHLXHYJYQ202610the Research on Enhancing Emergency Response Nursing for Crowd Stampede Events-Based on the National Games Standby Context 2025GBA-515
6 · The paper itself

Abstract

backgroundIn disaster-prone areas, residents' disaster adaptation and resilience are important components of community resilience. This study aimed to assess the level of disaster adaptation and resilience among residents and to analyze its influencing factors.

methodsA cross-sectional study was conducted in Guangdong Province, China, from November 2023 to July 2024. A total of 3,217 residents were recruited using a purposive convenience sampling method with geographic quotas. Due to the overrepresentation of females in the sample, post-stratification weighting was applied to adjust for gender imbalance. Disaster adaptation and resilience levels were assessed using the Disaster Adaptation and Resilience Scale. The total scores were categorized into four levels based on quartiles (P

resultsA total of 3,181 valid questionnaires were collected in this survey, yielding an effective response rate of 98.88%. After weighting, the final sample size was 3,182. The total disaster adaptation and resilience score was 115.61 ± 36.36, and the item mean score was 2.57 ± 0.81, indicating a relatively upper-middle level based on the quartile classification (P

conclusionsThis study provides scientific evidence for improving disaster adaptation and resilience among residents in disaster-prone coastal areas of China and for developing public health intervention strategies.

Indexed as

Adaptation, PsychologicalDisastersResilience, PsychologicalAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultChinaDisaster adaptation and resilienceInfluencing factorsResidents

Identifiers

PMID42298521
PMCPMC13422299

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.