Assessing Bedtime Procrastination in Iran: Psychometric Properties and Predictive Value for Insomnia.

IF 2.2 3区医学 Q3 CLINICAL NEUROLOGY

Behavioral Sleep Medicine Pub Date : 2024-11-11 DOI:10.1080/15402002.2024.2423291

Amirhossein Rasouli, Hatef Tirgari Seraji, Zahra Nejad-Ebrahim Soumee, Sima Jahanbakhsh, Vahide Javadi, Omid Saed

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引用次数: 0

Abstract

Objectives: Bedtime procrastination has been identified as an important factor associated with insufficient sleep and health and well-being problems. This study aims to investigate factor structure and psychometric properties of Bedtime procrastination Scale (BPS) in the Persian-speaking community. Additionally, this research aims to examine the role of bedtime procrastination in predicting sleep-related problems.

Method: Four hundred and thirty-three participants (average age 23 years, 55.7% female) took part in this study. All participants completed the BPS, the Insomnia Severity Index (ISI), and the Tuckman Procrastination Scale (TPS). Confirmatory factor analysis and hierarchical regression analysis were used to examine the factor structure and predict sleep-related problems.

Results: Confirmatory factor analysis showed that, unlike other language versions, the two-factor model without item 3 was the most suitable structure. This scale demonstrated acceptable reliability and validity. Additionally, the results of hierarchical regression analysis indicated that the procrastination factor, especially bedtime procrastination, was the best predictor of insomnia severity.

Conclusion: In this study, the Persian version of BPS showed strong validity and reliability. These findings suggest that the Persian BPS can serve as a valuable and comprehensive research tool for assessing bedtime procrastination.

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评估伊朗人的睡前拖延症：失眠症的心理计量特性和预测价值。

目的：睡前拖延被认为是与睡眠不足及健康和幸福问题相关的一个重要因素。本研究旨在调查睡前拖延量表（BPS）在波斯语社区的因子结构和心理测量特性。此外，本研究还旨在探讨睡前拖延症在预测睡眠相关问题中的作用：四百三十三名参与者（平均年龄 23 岁，55.7% 为女性）参加了本研究。所有参与者都填写了睡前拖延量表、失眠严重程度指数（ISI）和塔克曼拖延量表（TPS）。研究采用了确证因子分析和分层回归分析来检验因子结构和预测睡眠相关问题：确认性因素分析表明，与其他语言版本不同，不含项目 3 的双因素模型是最合适的结构。该量表的信度和效度均可接受。此外，分层回归分析的结果表明，拖延因子，尤其是睡前拖延，是失眠严重程度的最佳预测因子：在这项研究中，波斯语版的 BPS 显示出很强的有效性和可靠性。这些研究结果表明，波斯语 BPS 可以作为评估就寝拖延症的一种有价值的综合研究工具。

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

Behavioral Sleep Medicine CLINICAL NEUROLOGY-PSYCHIATRY

CiteScore

7.20

自引率

3.20%

发文量

审稿时长

>12 weeks

期刊介绍： Behavioral Sleep Medicine addresses behavioral dimensions of normal and abnormal sleep mechanisms and the prevention, assessment, and treatment of sleep disorders and associated behavioral and emotional problems. Standards for interventions acceptable to this journal are guided by established principles of behavior change. Intending to serve as the intellectual home for the application of behavioral/cognitive science to the study of normal and disordered sleep, the journal paints a broad stroke across the behavioral sleep medicine landscape. Its content includes scholarly investigation of such areas as normal sleep experience, insomnia, the relation of daytime functioning to sleep, parasomnias, circadian rhythm disorders, treatment adherence, pediatrics, and geriatrics. Multidisciplinary approaches are particularly welcome. The journal’ domain encompasses human basic, applied, and clinical outcome research. Behavioral Sleep Medicine also embraces methodological diversity, spanning innovative case studies, quasi-experimentation, randomized trials, epidemiology, and critical reviews.