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基本复原力量表:工具开发及对感知健康与行为的预测

The Essential Resilience Scale: Instrument Development and Prediction of Perceived Health and Behaviour.

作者信息

Chen Xinguang, Wang Yan, Yan Yaqiong

机构信息

Department of Epidemiology, University of Florida, Gainesville, FL, USA.

Wuhan Center for Disease Prevention and Control, Wuhan, Hubei Province, China.

出版信息

Stress Health. 2016 Dec;32(5):533-542. doi: 10.1002/smi.2659. Epub 2015 Nov 6.

Abstract

Further advancement in stress and health research calls for better tools to assess resilience. In this study, we developed the Essential Resilience Scale (ERS) and investigated the association between ERS scores and several health and behaviour measures. We developed the ERS with an operationalized definition of resilience-an individual's capability to anticipate, be flexible with and bounce back from three types of traumatic and adverse events (physical, emotional and social). The 15-item ERS was assessed using survey data from a diverse sample (n = 238, aged 18-45 years, 76 rural-to-urban migrants, 85 rural residents, 77 urban residents) recruited in Wuhan, China. Results showed a high reliability of the ERS (α = 0.94). Confirmatory factor analysis demonstrated a satisfactory fit of the proposed second-order ERS measurement model (goodness-of-fit index = 0.94, comparative fit index = 0.98, root mean square error of approximation = 0.06, chi-square/df = 1.75). Multivariate regression analysis indicated that ERS scores significantly predicted perceived health status, stress, anxiety, depression and cigarette smoking after controlling for important covariates. Findings of this study indicate high reliability and validity of the scale and its potential use in advancing stress and health research. Further studies are implied to provide additional support for the ERS and its relations with other health outcomes. Copyright © 2015 John Wiley & Sons, Ltd.

摘要

压力与健康研究的进一步发展需要更好的工具来评估恢复力。在本研究中,我们开发了基本恢复力量表(ERS),并调查了ERS得分与若干健康和行为指标之间的关联。我们通过对恢复力进行可操作化定义来开发ERS,即个体对三种类型的创伤性和不良事件(身体、情感和社会)进行预期、灵活应对并从中恢复的能力。使用来自中国武汉招募的多样化样本(n = 238,年龄在18 - 45岁之间,76名从农村到城市的移民,85名农村居民,77名城市居民)的调查数据对包含15个条目的ERS进行了评估。结果显示ERS具有较高的信度(α = 0.94)。验证性因素分析表明所提出的二阶ERS测量模型拟合良好(拟合优度指数 = 0.94,比较拟合指数 = 0.98,近似均方根误差 = 0.06,卡方/自由度 = 1.75)。多变量回归分析表明,在控制重要协变量后,ERS得分能显著预测感知健康状况、压力、焦虑、抑郁和吸烟情况。本研究结果表明该量表具有较高的信度和效度,及其在推进压力与健康研究方面的潜在用途。意味着需要进一步的研究为ERS及其与其他健康结果的关系提供更多支持。版权所有© 2015约翰·威利父子有限公司。

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