Factors affecting stroke pre-hospital delay behavioral intention among community residents: A path analysis

IF 2.7 4区 医学 Q1 NURSING
Yibing Tan , Xinglan Sun , Fengyin Qin , Yefeng Cai
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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.

影响社区居民脑卒中院前延误行为意向的因素:路径分析
背景院前延误是脑卒中治疗延误的主要原因,而行为意向被认为是行为的最直接预测因素。因此,要有效减少脑卒中院前延误,必须进一步了解脑卒中院前延误意向(SPDBI)与其社会心理影响因素,即人格特质、社会支持和应对方式之间的关系。问卷内容包括人口统计学资料、"脑卒中 120 "知识、十项人格量表(中文版)、简易应对方式问卷、感知社会支持量表和 SPDBI 量表。结果 最终路径模型与数据拟合良好(χ2/df = 2.981,RMSEA = 0.048,GFI = 0.936,CFI = 0.941)。外向性(β = 0.106)、积极应对(β = -0.110)、消极应对(β = 0.150)和 "中风 120 "知识(β = -0.152)对 SPDBI 仅有直接影响。结论充足的社会支持和对健康威胁的积极应对可降低居民的 SPDBI。结论充足的社会支持和积极应对健康威胁可降低居民的SPDBI,同时,降低SPDBI的干预措施应考虑人格差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Nursing Research
Applied Nursing Research 医学-护理
CiteScore
4.50
自引率
0.00%
发文量
65
审稿时长
70 days
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.
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