Accuracy of the Personal Economic Distress Index Among Arabic Unemployed

Author:

Razki Khouloud,Zgueb Yosra,Aissa Amina,Ouali Emna Sofia,Wahabi Anis,Ouali Uta

Abstract

Objectives: Studies about The Index of Personal Economic Distress (IPED) in Arab countries since the onset of the COVID-19 pandemic have been alarming. This study aimed to explore the reliability, factor structure, and criterion validity of the Arabic IPED in a sample of unemployed Tunisians during the past 6 months.Methods: The Arabic version of the IPED and the validated Hospital Anxiety and Depression Scale (HADS) were administered to a total of 2011 unemployed people originating from all Tunisian regions. Principal component analysis (PCA) with confirmatory factor analysis (CFA) was used to establish the spontaneous distribution of the 8 items and possible factors of the IPED. Receiver operating characteristic (ROC) analysis was conducted to assess the ability of the IPED to distinguish between unemployed individuals with no economic distress and those in distress. The correlation between the IPED and the HADS were explored.Results: The reliability of the Arabic version of the IPED was adequate. The PCA suggested two main components of the Arabic version of the IPED: the first component including five items focused on financial responsibilities towards state structures and the second dimension containing three items focused on well-being. A statistically significant association (p = 0.01; r = 0.05) was found between the well-being dimension of the IPED and the Anxiety subscale of HADS.Conclusion: This validated version of the IPED is an important tool to study the impact of economic crises on the mental health of unemployed people, as demonstrated in the link found in this study between economic distress and anxiety.

Publisher

Frontiers Media SA

Subject

Public Health, Environmental and Occupational Health,Health (social science)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3