Correlating Personality Traits With Acute Stress Responses in Earthquake Simulations: An HRV and RESP Analysis.
Earthquakes, as significant natural disasters, still cannot be accurately predicted today. Although current earthquake early warning systems can provide alerts several seconds in advance, acute stress responses (ASR) in emergency situations can waste these precious escape seconds. To investigate the...
| Publicado en: | Stress & Health: Journal of the International Society for the Investigation of Stress Vol. 40; no. 6; pp. 1 - 19 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts tracings Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=181623817&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 181623817 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15323005 O9N jtl: Stress & Health: Journal of the International Society for the Investigation of Stress issn: 15323005 maglogo: Y pubinfo: dt: Dec2024 vid: 40 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 181623817 181051402 181623817 181623817 10.1002/smi.3510 181623817 ppf: 1 ppct: 18 formats: tig: atl: Correlating Personality Traits With Acute Stress Responses in Earthquake Simulations: An HRV and RESP Analysis. aug: au: Li, Jing Zhu, Jingzheng Guan, Cheng Shen, Tong Zhou, Biao affil: School of Emergency Management and Safety Engineering, China University of Mining and Technology‐Beijing, Beijing, China sug: subj: Natural Disasters Psychosocial Factors Disaster Planning Psychosocial Factors Computer Simulation Emergency Care Stress, Psychological Personality Human Funding Source Heart Rate Variability Respiration Multivariate Analysis of Variance Cluster Analysis Deep Learning Convolutional Neural Networks Memory, Short Term Natural Disasters Evaluation Scales ab: Earthquakes, as significant natural disasters, still cannot be accurately predicted today. Although current earthquake early warning systems can provide alerts several seconds in advance, acute stress responses (ASR) in emergency situations can waste these precious escape seconds. To investigate the correlation between personality and ASR, this study collected the temperament and character of all participants using the Chen Huichang‐60 Temperament Scale and the DISC Personality Inventory. In addition, this study simulated growing earthquakes in an earthquake experience hall, collecting heart rate variability and respiration signal variations throughout the process from subjects. Multivariate analysis of variance (MANOVA) and Toeplitz Inverse Covariance‐Based Clustering methods were used to analyse the differences and connections between them. Furthermore, this study employed a deep learning model that combines Convolutional Neural Networks (CNN) and Long Short‐Term Memory (LSTM) to predict ASR across personalities. This model used datasets from the majority dataset of a certain personality and a single participant, respectively, and showed different performance. The results are as follows. After categorising participants based on personality test results, MANOVA revealed significant differences between the personality groups Influence‐Choleric and Influence‐Sanguine (p = 0.001), Influence‐Phlegmatic and Steadiness‐Sanguine (p = 0.023), Influence‐Sanguine and Steadiness‐Sanguine (p < 0.001) and Influence‐Sanguine and Steadiness‐Phlegmatic (p < 0.001), as well as across different earthquake stages (p < 0.01). The clustering method quantified stress responses over time for different personalities and labelled ASR levels for use in supervised learning. Ultimately, the CNN‐LSTM model performed predictions of ASR using both personality and individual datasets, achieving the AUC of 0.795 and 0.72, demonstrating better prediction and classification effectiveness with the former. This study provides a new personality‐based method for earthquake stress management, creating possibilities for longitudinal stress research and prediction. It aids the general public in comprehending their own acute stress and allows authorities and communities to make practical, efficient disaster evacuation plans based on the overall situation of public ASR. pubtype: Academic Journal doctype: pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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