中国大学生抑郁变化期望量表的信度和效度:一项横断面研究。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Shuoshuo Li, Ping Ye, Weina Du, Ling Cheng, Ru Bai, Qing Liu, Fulin Cai, Wenjuan Wang, Jing Zhang
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引用次数: 0

摘要

随着心理健康问题的日益普遍,抑郁症不仅造成严重的心理困扰,严重损害社会功能和生活质量,而且还增加了自杀的风险。抑郁变化预期量表(DCES)是一种评估工具,旨在评估表现出抑郁倾向或症状的个体对其预期未来抑郁变化的态度。了解青少年对抑郁变化的期望可以在他们的心理健康恶化之前及时和有针对性的干预。然而,中国版本的DCES尚未开发。本研究的目的在于探讨大学生英语能力评价量表的翻译、跨文化适应,并验证大学生英语能力评价量表的中文版。按照布里斯林的翻译模式,对DCES的初稿进行了翻译和回译。通过专家本地化和初步调查,完善了中文版。采用便利抽样法,于2023年9月至12月对安徽省各高校1138名学生进行了调查。选取经贝克抑郁量表确定的481名有抑郁症状和抑郁倾向的学生,进行中文版DCES的信度和效度分析。中国版本的DCES显示出稳健的双因素模型拟合(卡方/自由度= 2.604;比较拟合指数= 0.973;Tucker-Lewis指数= 0.970;拟合优度指数= 0.912;规范拟合指数= 0.958;近似均方根误差= 0.058)。量表层面的内容效度指数为0.898,项目层面的内容效度指数为0.830 ~ 1.000。通过Cronbach's alpha测量,整个量表的内部一致性为0.910,个别维度的内部一致性范围为0.888至0.980。总量表的重测信度为0.985,各维度的重测信度为0.982 ~ 0.985。本研究在已有证据的支持下,表明中文版的量表具有良好的效度和信度。它是衡量对抑郁症变化的预期的有价值的工具,并有可能预测抑郁症症状的未来趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The reliability and validity of the depression change expectancy scale in college students: a cross-sectional study in China.

The reliability and validity of the depression change expectancy scale in college students: a cross-sectional study in China.

The reliability and validity of the depression change expectancy scale in college students: a cross-sectional study in China.

With the rising prevalence of mental health issues, depression not only causes significant psychological distress and severely impairs social functioning and quality of life but also heightens the risk of suicide. The Depression Change Expectation Scale (DCES) is an assessment tool designed to evaluate the attitudes of individuals exhibiting depressive tendencies or symptoms regarding their anticipated future changes in depression. Understanding adolescents' expectations about changes in depression can enable timely and targeted interventions before their mental health deteriorates. However, a Chinese version of the DCES is yet to be developed. This study aimed to translate the DCES, cross-cultural adaptation, and validate the Chinese version of the DCES among college students. Following the Brislin translation model, the initial draft of the DCES was translated and back-translated. The Chinese version was refined through expert localization and a preliminary survey. Using a convenience sampling method, 1,138 students from various universities in Anhui province were surveyed from September to December 2023. Among these, 481 students exhibiting depressive symptoms and tendencies, as identified by the Beck Depression Inventory, were selected for the reliability and validity analysis of the Chinese version of the DCES. The Chinese version of the DCES demonstrated a robust two-factor model fit (Chi-square/degrees of freedom = 2.604; comparative fit index = 0.973; Tucker-Lewis index = 0.970; goodness of fit index = 0.912; normed fit index = 0.958; root mean square error of approximation = 0.058). The scale-level content validity index was 0.898, and item-level content validity indices ranged from 0.830 to 1.000. The internal consistency, as measured by Cronbach's alpha, was 0.910 for the entire scale and ranged from 0.888 to 0.980 for individual dimensions. The test-retest reliability was 0.985 for the total scale, with individual dimensions' test-retest reliability ranging from 0.982 to 0.985. This study, supported by previous evidence, indicates that the Chinese version of the DCES possesses excellent validity and reliability. It is a valuable tool for measuring expectations regarding changes in depression and has the potential to predict future trends in depressive symptoms.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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