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Internet-based hoarding assessment: The reliability and predictive validity of the internet-based Hoarding Rating Scale, Self-Report.基于互联网的囤积症评估:基于互联网的囤积症评定量表、自我报告的信度和预测效度。
Psychiatry Res. 2020 Dec;294:113505. doi: 10.1016/j.psychres.2020.113505. Epub 2020 Oct 11.
2
The UCLA Hoarding Severity Scale: development and validation.加州大学洛杉矶分校囤积严重程度量表:编制与验证
J Affect Disord. 2015 Apr 1;175:488-93. doi: 10.1016/j.jad.2015.01.030. Epub 2015 Jan 22.
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How accurately can supervised machine learning model predict a targeted psychiatric disorder?监督机器学习模型能多准确地预测特定的精神障碍?
BMC Psychiatry. 2024 Oct 16;24(1):691. doi: 10.1186/s12888-024-06152-w.
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A brief interview for assessing compulsive hoarding: the Hoarding Rating Scale-Interview.用于评估强迫性囤积症的简短访谈:囤积症评定量表访谈。
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A contemporary psychometric evaluation of the Obsessive Compulsive Inventory-Revised (OCI-R).强迫症量表修订版(OCI-R)的当代心理测量评估。
Psychol Assess. 2015 Sep;27(3):874-82. doi: 10.1037/pas0000075. Epub 2015 Feb 9.
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Factor structure, reliability, and validity of the Japanese version of the Hoarding Rating Scale-Self-Report (HRS-SR-J).日本版囤积评定量表-自我报告(HRS-SR-J)的因子结构、信度和效度
Neuropsychiatr Dis Treat. 2017 May 9;13:1235-1243. doi: 10.2147/NDT.S133471. eCollection 2017.
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Saving inventory - Revised: Psychometric performance across the lifespan.节省库存 - 修订版:整个生命周期的心理计量学性能。
J Affect Disord. 2019 Jun 1;252:358-364. doi: 10.1016/j.jad.2019.04.007. Epub 2019 Apr 8.
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Validation of the Clutter Image Rating in older adults with hoarding disorder.囤积障碍老年人中杂乱图像评分的验证
Int Psychogeriatr. 2015 May;27(5):769-76. doi: 10.1017/S1041610214002403. Epub 2014 Nov 13.
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Translating and validating the hoarding rating scale-self report into Arabic.将囤积症严重程度评定量表-自评量表翻译成阿拉伯语并进行验证。
BMC Psychol. 2023 Aug 16;11(1):233. doi: 10.1186/s40359-023-01277-1.
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Predictors of hoarding severity in older adults with hoarding disorder.囤积障碍老年患者囤积严重程度的预测因素。
Int Psychogeriatr. 2015 Jul;27(7):1147-56. doi: 10.1017/S1041610214001677. Epub 2014 Aug 13.

引用本文的文献

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Classification of hoarding and comorbid neuropsychiatric symptoms.囤积行为及共病神经精神症状的分类
Psychiatry Res Commun. 2025 Jun;5(2). doi: 10.1016/j.psycom.2025.100215. Epub 2025 May 21.
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Relationship of Hoarding and Depression Symptoms in Older Adults.老年人囤积行为与抑郁症状的关系。
Am J Geriatr Psychiatry. 2024 Apr;32(4):497-508. doi: 10.1016/j.jagp.2023.11.006. Epub 2023 Nov 23.
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Translating and validating the hoarding rating scale-self report into Arabic.将囤积症严重程度评定量表-自评量表翻译成阿拉伯语并进行验证。
BMC Psychol. 2023 Aug 16;11(1):233. doi: 10.1186/s40359-023-01277-1.
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Brain health registry updates: An online longitudinal neuroscience platform.脑健康登记更新:一个在线纵向神经科学平台。
Alzheimers Dement. 2023 Nov;19(11):4935-4951. doi: 10.1002/alz.13077. Epub 2023 Apr 18.
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Poor Sleep Quality and Daytime Fatigue Are Associated With Subjective but Not Objective Cognitive Functioning in Clinically Relevant Hoarding.在临床上相关的囤积症中,睡眠质量差和日间疲劳与主观认知功能相关,但与客观认知功能无关。
Biol Psychiatry Glob Open Sci. 2021 Nov 5;2(4):480-488. doi: 10.1016/j.bpsgos.2021.10.009. eCollection 2022 Oct.
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Hoarding symptoms are associated with higher rates of disability than other medical and psychiatric disorders across multiple domains of functioning.囤积症状与其他医学和精神障碍相比,在多个功能领域中与更高的残疾率相关。
BMC Psychiatry. 2022 Oct 15;22(1):647. doi: 10.1186/s12888-022-04287-2.
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Identifying psychiatric and neurological comorbidities associated with hoarding disorder through network analysis.通过网络分析识别与囤积障碍相关的精神和神经共病。
J Psychiatr Res. 2022 Dec;156:16-24. doi: 10.1016/j.jpsychires.2022.09.037. Epub 2022 Sep 27.
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Self-reporting of psychiatric illness in an online patient registry is a good indicator of the existence of psychiatric illness.在线患者登记处中对精神疾病的自我报告是精神疾病存在的一个良好指标。
J Psychiatr Res. 2022 Jul;151:34-41. doi: 10.1016/j.jpsychires.2022.03.022. Epub 2022 Apr 15.
9
Hoarding disorder is associated with self-reported cardiovascular / metabolic dysfunction, chronic pain, and sleep apnea.囤积症与自我报告的心血管/代谢功能障碍、慢性疼痛和睡眠呼吸暂停有关。
J Psychiatr Res. 2021 Feb;134:15-21. doi: 10.1016/j.jpsychires.2020.12.032. Epub 2020 Dec 15.

本文引用的文献

1
Psychometric Properties of the Hoarding Rating Scale-Interview.囤积评定量表访谈版的心理测量学特性
J Obsessive Compuls Relat Disord. 2018 Jan;16:76-80. doi: 10.1016/j.jocrd.2018.01.003. Epub 2018 Feb 2.
2
Saving inventory - Revised: Psychometric performance across the lifespan.节省库存 - 修订版:整个生命周期的心理计量学性能。
J Affect Disord. 2019 Jun 1;252:358-364. doi: 10.1016/j.jad.2019.04.007. Epub 2019 Apr 8.
3
Unsupervised online neuropsychological test performance for individuals with mild cognitive impairment and dementia: Results from the Brain Health Registry.轻度认知障碍和痴呆症患者的无监督在线神经心理学测试表现:来自大脑健康登记处的结果。
Alzheimers Dement (Amst). 2018 Jun 21;10:573-582. doi: 10.1016/j.dadm.2018.05.005. eCollection 2018.
4
Prevalence of hoarding behaviours and excessive acquisition in users of online classified advertisements.网络分类广告用户囤积行为和过度获取的流行率。
Psychiatry Res. 2018 Dec;270:194-197. doi: 10.1016/j.psychres.2018.09.022. Epub 2018 Sep 12.
5
Detail-oriented visual processing style: Its role in the relationships between early life adversity and hoarding-related dysfunctions.注重细节的视觉加工方式:其在早期生活逆境与囤积障碍相关功能障碍的关系中的作用。
Psychiatry Res. 2018 Sep;267:30-36. doi: 10.1016/j.psychres.2018.05.053. Epub 2018 May 23.
6
Hoarding disorder has finally arrived, but many challenges lie ahead.囤积障碍终于得到了关注,但前方仍有许多挑战。
World Psychiatry. 2018 Jun;17(2):224-225. doi: 10.1002/wps.20531.
7
The Brain Health Registry: An internet-based platform for recruitment, assessment, and longitudinal monitoring of participants for neuroscience studies.脑健康注册中心:一个基于互联网的平台,用于招募、评估和对神经科学研究的参与者进行纵向监测。
Alzheimers Dement. 2018 Aug;14(8):1063-1076. doi: 10.1016/j.jalz.2018.02.021. Epub 2018 May 10.
8
Age-Specific Prevalence of Hoarding and Obsessive Compulsive Disorder: A Population-Based Study.囤积症和强迫症的年龄特异性患病率:一项基于人群的研究。
Am J Geriatr Psychiatry. 2017 Mar;25(3):245-255. doi: 10.1016/j.jagp.2016.11.006. Epub 2016 Nov 10.
9
Cross-Disorder Genetic Analysis of Tic Disorders, Obsessive-Compulsive, and Hoarding Symptoms.抽动障碍、强迫症和囤积症状的跨疾病遗传分析
Front Psychiatry. 2016 Jun 30;7:120. doi: 10.3389/fpsyt.2016.00120. eCollection 2016.
10
The UCLA Hoarding Severity Scale: development and validation.加州大学洛杉矶分校囤积严重程度量表:编制与验证
J Affect Disord. 2015 Apr 1;175:488-93. doi: 10.1016/j.jad.2015.01.030. Epub 2015 Jan 22.

基于互联网的囤积症评估:基于互联网的囤积症评定量表、自我报告的信度和预测效度。

Internet-based hoarding assessment: The reliability and predictive validity of the internet-based Hoarding Rating Scale, Self-Report.

机构信息

Department of Epidemiology, University of Florida, Gainesville, FL, United States.

Department of Psychiatry, University of Florida, Gainesville, FL, United States.

出版信息

Psychiatry Res. 2020 Dec;294:113505. doi: 10.1016/j.psychres.2020.113505. Epub 2020 Oct 11.

DOI:10.1016/j.psychres.2020.113505
PMID:33070108
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8080473/
Abstract

The Hoarding Rating Scale, Self Report (HRS-SR) is a 5-item assessment developed to ascertain the presence and severity of hoarding symptoms. This study aimed to evaluate the validity of an online adaptation of the HRS-SR in a remote, unsupervised internet sample of 23,214 members of the Brain Health Registry (BHR), an online research registry that evaluates and longitudinally monitors cognition, medical and psychiatric health status. Convergent validity was assessed among a sub-sample of 1,183 participants who completed additional, remote measures of self-reported hoarding behaviors. Structured clinical interviews conducted in-clinic and via video conferencing tools were conducted among 230 BHR participants; ROC curves were plotted to assess the diagnostic performance of the internet-based HRS-SR using best estimate hoarding disorder (HD) diagnoses as the gold standard. The area under the curve indicated near-perfect model accuracy, and was confirmed with 10-fold cross validation. Sensitivity and specificity for distinguishing clinically relevant hoarding were optimized using an HRS-SR total score cut-off of 5. Longitudinal analyses indicated stability of HRS-SR scores over time. Findings indicate that the internet-based HRS-SR is a useful and valid assessment of hoarding symptoms, though additional research using samples with more diverse hoarding behavior is needed to validate optimal cut-off values.

摘要

囤积症严重程度自评量表(HRS-SR)是一个由 5 个项目组成的评估工具,旨在确定囤积症状的存在和严重程度。本研究旨在评估 HRS-SR 的在线改编版本在 Brain Health Registry(BHR)的远程、非监督互联网样本中的有效性,BHR 是一个在线研究注册中心,用于评估和纵向监测认知、医疗和精神健康状况。在完成额外的远程自我报告囤积行为测量的 1183 名参与者的子样本中评估了收敛效度。对 230 名 BHR 参与者进行了门诊和视频会议工具的结构化临床访谈;绘制 ROC 曲线以评估基于互联网的 HRS-SR 的诊断性能,最佳估计的囤积障碍(HD)诊断作为金标准。曲线下面积表明模型准确性接近完美,并通过 10 倍交叉验证得到确认。使用 HRS-SR 总分截断值 5 来区分临床相关囤积的敏感性和特异性得到了优化。纵向分析表明 HRS-SR 评分随时间的稳定性。研究结果表明,基于互联网的 HRS-SR 是一种有用且有效的囤积症状评估工具,但需要使用具有更多样化囤积行为的样本进行进一步研究,以验证最佳截断值。

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