• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于网络的大学生工作情境下抑郁评估系统的稳健性和研究结果

Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context.

机构信息

Instituto de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

出版信息

Int J Environ Res Public Health. 2019 Feb 21;16(4):644. doi: 10.3390/ijerph16040644.

DOI:10.3390/ijerph16040644
PMID:30795622
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6406358/
Abstract

Depression is associated with absenteeism and presentism, problems in workplace relationships and loss of productivity and quality. The present work describes the validation of a web-based system for the assessment of depression in the university work context. The basis of the system is the Spanish version of the Beck Depression Inventory (BDI-II). A total of 185 participants completed the BDI-II web-based assessment, including 88 males and 97 females, 70 faculty members and 115 staff members. A high level of internal consistency reliability was confirmed. Based on the results of our web-based BDI-II, no significant differences were found in depression severity between gender, age or workers' groups. The main depression risk factors reported were: "Changes in sleep", "Loss of energy", "Tiredness or fatigue" and "Loss of interest". However significant differences were found by gender in "Changes in appetite", "Difficulty of concentration" and "Loss of interest in sex"; males expressed less loss of interest in sex than females with a statistically significant difference. Our results indicate that the data collected is coherent with previous BDI-II studies. We conclude that the web-based system based on the BDI-II is psychometrically robust and can be used to assess depression in the university working community.

摘要

抑郁症与旷工和出勤主义、工作场所人际关系问题以及生产力和质量下降有关。本研究描述了一个用于评估大学工作环境中抑郁症的基于网络的系统的验证。该系统的基础是贝克抑郁量表（BDI-II）的西班牙语版本。共有 185 名参与者完成了基于网络的 BDI-II 评估，包括 88 名男性和 97 名女性、70 名教师和 115 名员工。内部一致性可靠性得到了高度确认。根据我们基于网络的 BDI-II 的结果，在性别、年龄或工人群体之间，抑郁严重程度没有发现显著差异。报告的主要抑郁风险因素是：“睡眠变化”、“精力丧失”、“疲倦或疲劳”和“兴趣丧失”。然而，在“食欲变化”、“注意力集中困难”和“对性失去兴趣”方面，性别存在显著差异；与女性相比，男性对性失去兴趣的程度较低，具有统计学意义。我们的结果表明，所收集的数据与之前的 BDI-II 研究一致。我们得出结论，基于 BDI-II 的基于网络的系统具有心理测量学上的稳健性，可用于评估大学工作社区中的抑郁症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/cfae9c31fde5/ijerph-16-00644-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/28714caef7d7/ijerph-16-00644-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/cd8affef52b3/ijerph-16-00644-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/10d1534e4462/ijerph-16-00644-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/f0e40062e628/ijerph-16-00644-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/1d4584f512bd/ijerph-16-00644-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/6027e6263312/ijerph-16-00644-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/d81c6230a250/ijerph-16-00644-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/0eff92c7525a/ijerph-16-00644-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/6bf7fc48fc18/ijerph-16-00644-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/d59aa089a0ed/ijerph-16-00644-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/cfae9c31fde5/ijerph-16-00644-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/28714caef7d7/ijerph-16-00644-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/cd8affef52b3/ijerph-16-00644-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/10d1534e4462/ijerph-16-00644-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/f0e40062e628/ijerph-16-00644-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/1d4584f512bd/ijerph-16-00644-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/6027e6263312/ijerph-16-00644-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/d81c6230a250/ijerph-16-00644-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/0eff92c7525a/ijerph-16-00644-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/6bf7fc48fc18/ijerph-16-00644-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/d59aa089a0ed/ijerph-16-00644-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a26/6406358/cfae9c31fde5/ijerph-16-00644-g011.jpg

相似文献

1
Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context.基于网络的大学生工作情境下抑郁评估系统的稳健性和研究结果
Int J Environ Res Public Health. 2019 Feb 21;16(4):644. doi: 10.3390/ijerph16040644.
2
Validation of the beck depression inventory-II in a Jamaican university student cohort.贝克抑郁量表第二版在牙买加大学生群体中的效度验证。
West Indian Med J. 2007 Oct;56(5):404-8.
3
Rasch analysis of the Beck Depression Inventory-II in stroke survivors: a cross-sectional study.中风幸存者中贝克抑郁量表第二版的拉什分析：一项横断面研究。
J Affect Disord. 2014 Apr;158:48-52. doi: 10.1016/j.jad.2014.01.013. Epub 2014 Feb 5.
4
A comparison of the psychometric strengths of the public-domain Zung Self-rating Depression Scale with the proprietary Beck Depression Inventory-II in Barbados.巴巴多斯公共领域的zung自评抑郁量表与专利性的贝克抑郁量表-II心理测量优势的比较。
West Indian Med J. 2012 Aug;61(5):483-8. doi: 10.7727/wimj.2010.145.
5
Effectiveness of a Web-Based Intervention in Reducing Depression and Sickness Absence: Randomized Controlled Trial.基于网络的干预措施在减轻抑郁和减少病假方面的有效性：随机对照试验。
J Med Internet Res. 2017 Jun 15;19(6):e213. doi: 10.2196/jmir.6546.
6
Cross-cultural validation of the Beck Depression Inventory-II in Japan.贝克抑郁量表第二版在日本的跨文化验证
Psychiatry Res. 2002 Jul 31;110(3):291-9. doi: 10.1016/s0165-1781(02)00106-3.
7
Use of the Beck Depression Inventory-II with depressed geriatric inpatients.在老年抑郁症住院患者中使用贝克抑郁量表第二版。
Behav Res Ther. 2000 Mar;38(3):311-8. doi: 10.1016/s0005-7967(99)00068-6.
8
Psychometric properties of the Beck Depression Inventory II (BDI-II) among community-dwelling older adults.社区居住的老年人中贝克抑郁量表第二版（BDI-II）的心理测量学特性。
Behav Modif. 2008 Jan;32(1):3-20. doi: 10.1177/0145445507303833.
9
Factor structure, concurrent validity, and internal consistency of the Beck Depression Inventory-Second Edition in a sample of college students.贝克抑郁量表第二版在大学生样本中的因子结构、同时效度和内部一致性。
Depress Anxiety. 2004;19(3):187-9. doi: 10.1002/da.20002.
10
Factor Structure of the Beck Depression Inventory-II in patients With chronic pain.慢性疼痛患者中贝克抑郁量表第二版的因子结构
Clin J Pain. 2006 Nov-Dec;22(9):790-8. doi: 10.1097/01.ajp.0000210930.20322.93.

引用本文的文献

1
Equivalence of Paper and Smartphone Versions of the Beck Depression Inventory-II.贝克抑郁量表第二版纸质版与智能手机版的等效性。
J Clin Med. 2025 Jan 14;14(2):500. doi: 10.3390/jcm14020500.
2
Validation of the Multidimensional Fatigue Inventory with Coronary Artery Disease Patients.多维疲劳量表在冠状动脉疾病患者中的验证。
Int J Environ Res Public Health. 2020 Oct 30;17(21):8003. doi: 10.3390/ijerph17218003.

本文引用的文献

1
Prevalence of Depression in the Community from 30 Countries between 1994 and 2014.1994 年至 2014 年 30 个国家社区人群抑郁症患病率。
Sci Rep. 2018 Feb 12;8(1):2861. doi: 10.1038/s41598-018-21243-x.
2
Efficacy of antidepressants on measures of workplace functioning in major depressive disorder: A systematic review.抗抑郁药对重性抑郁障碍患者职场功能测量指标的疗效：系统评价。
J Affect Disord. 2018 Feb;227:406-415. doi: 10.1016/j.jad.2017.11.003. Epub 2017 Nov 7.
3
An Internet-Based Intervention for Depression in Primary Care in Spain: A Randomized Controlled Trial.
西班牙基层医疗中基于互联网的抑郁症干预：一项随机对照试验。
J Med Internet Res. 2016 Aug 26;18(8):e231. doi: 10.2196/jmir.5695.
4
The economic burden of adults with major depressive disorder in the United States (2005 and 2010).美国成年重度抑郁症患者的经济负担（2005 年和 2010 年）。
J Clin Psychiatry. 2015 Feb;76(2):155-62. doi: 10.4088/JCP.14m09298.
5
Depressive symptoms in third-grade teachers: relations to classroom quality and student achievement.三年级教师的抑郁症状：与课堂质量和学生成绩的关系。
Child Dev. 2015 May-Jun;86(3):945-54. doi: 10.1111/cdev.12344. Epub 2015 Feb 11.
6
Interformat reliability of digital psychiatric self-report questionnaires: a systematic review.数字精神科自我报告问卷的信度：一项系统评价
J Med Internet Res. 2014 Dec 3;16(12):e268. doi: 10.2196/jmir.3395.
7
Predictors of depression, stress, and anxiety among non-tenure track faculty.非终身教职教员中抑郁、压力和焦虑的预测因素。
Front Psychol. 2014 Jul 8;5:701. doi: 10.3389/fpsyg.2014.00701. eCollection 2014.
8
Prevalence of depression and its relationship with work characteristics in a sample of public workers.公共部门工作人员样本中抑郁的流行率及其与工作特征的关系。
Neuropsychiatr Dis Treat. 2014 Mar 25;10:519-25. doi: 10.2147/NDT.S56989. eCollection 2014.
9
Internet-based versus face-to-face cognitive-behavioral intervention for depression: a randomized controlled non-inferiority trial.基于互联网的与面对面的认知行为干预治疗抑郁症的随机对照非劣效性试验。
J Affect Disord. 2014 Jan;152-154:113-21. doi: 10.1016/j.jad.2013.06.032. Epub 2013 Jul 23.
10
Validation of the Brazilian Portuguese version of the Beck Depression Inventory-II in a community sample.贝克抑郁自评量表 II 巴西葡萄牙语版在社区样本中的验证。
Braz J Psychiatry. 2012 Dec;34(4):389-94. doi: 10.1016/j.rbp.2012.03.005.