Yibing Tan , Xinglan Sun , Fengyin Qin , Yefeng Cai
{"title":"Factors affecting stroke pre-hospital delay behavioral intention among community residents: A path analysis","authors":"Yibing Tan , Xinglan Sun , Fengyin Qin , Yefeng Cai","doi":"10.1016/j.apnr.2024.151820","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Pre-hospital delay is the major cause of stroke treatment delay, and behavioral intention is considered to be the most direct predictor of behavior. Therefore, to effectively reduce stroke pre-hospital delay, it is essential to further understand the relationship between stroke pre-hospital delay intention (SPDBI) and its social-psychological influencing factors, namely personality traits, social support and coping style.</p></div><div><h3>Aim</h3><p>This study aims at examining the relationships among personality traits, coping style, social support, and SPDBI.</p></div><div><h3>Methods</h3><p>A cross-sectional, self-administered questionnaire was distributed to 845 residents. The content of the questionnaire included demographic information, the knowledge of “Stroke 120”, Ten-Item Personality Inventory-Chinese version, Simplified Coping Style Questionnaire, Perceived Social Support Scale and SPDBI Scale. Path analysis was used to investigate the relationship among SPDBI and its psychosocial influencing factors.</p></div><div><h3>Results</h3><p>The final path model showed a good fit to the data (χ<sup>2</sup>/df = 2.981, RMSEA = 0.048, GFI = 0.936, CFI = 0.941). Extroversion (<em>β</em> = 0.106), positive coping (<em>β</em> = −0.110), negative coping (<em>β</em> = 0.150) and the knowledge of “Stroke 120” (<em>β</em> = −0.152) had only direct effects on SPDBI. While agreeableness (<em>β</em> = 0.113), openness (<em>β</em> = −0.121) and social support (<em>β</em> = −0.118) had direct effects on SPDBI, they also had indirect effects (<em>β</em> = −0.009; −0.022; −0.049) on SPDBI though positive coping.</p></div><div><h3>Conclusions</h3><p>Adequate social support and positive coping of health threat may reduce residents' SPDBI. Meanwhile, the interventions to reduce SPDBI should take personality differences into consideration.</p></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"78 ","pages":"Article 151820"},"PeriodicalIF":2.7000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Nursing Research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0897189724000582","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Pre-hospital delay is the major cause of stroke treatment delay, and behavioral intention is considered to be the most direct predictor of behavior. Therefore, to effectively reduce stroke pre-hospital delay, it is essential to further understand the relationship between stroke pre-hospital delay intention (SPDBI) and its social-psychological influencing factors, namely personality traits, social support and coping style.
Aim
This study aims at examining the relationships among personality traits, coping style, social support, and SPDBI.
Methods
A cross-sectional, self-administered questionnaire was distributed to 845 residents. The content of the questionnaire included demographic information, the knowledge of “Stroke 120”, Ten-Item Personality Inventory-Chinese version, Simplified Coping Style Questionnaire, Perceived Social Support Scale and SPDBI Scale. Path analysis was used to investigate the relationship among SPDBI and its psychosocial influencing factors.
Results
The final path model showed a good fit to the data (χ2/df = 2.981, RMSEA = 0.048, GFI = 0.936, CFI = 0.941). Extroversion (β = 0.106), positive coping (β = −0.110), negative coping (β = 0.150) and the knowledge of “Stroke 120” (β = −0.152) had only direct effects on SPDBI. While agreeableness (β = 0.113), openness (β = −0.121) and social support (β = −0.118) had direct effects on SPDBI, they also had indirect effects (β = −0.009; −0.022; −0.049) on SPDBI though positive coping.
Conclusions
Adequate social support and positive coping of health threat may reduce residents' SPDBI. Meanwhile, the interventions to reduce SPDBI should take personality differences into consideration.
期刊介绍:
Applied Nursing Research presents original, peer-reviewed research findings clearly and directly for clinical applications in all nursing specialties. Regular features include "Ask the Experts," research briefs, clinical methods, book reviews, news and announcements, and an editorial section. Applied Nursing Research covers such areas as pain management, patient education, discharge planning, nursing diagnosis, job stress in nursing, nursing influence on length of hospital stay, and nurse/physician collaboration.