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一个关于日常生活中持续性悲伤的公平密集纵向数据档案库。

A FAIR intensive longitudinal data archive on prolonged grief in daily life.

作者信息

Pociūnaitė-Ott Justina, Lenferink Lonneke I M

机构信息

Department of Psychology, Health & Technology, Faculty of Behavioural Management and Social Sciences, University of Twente, Enschede, The Netherlands.

Department of Clinical Psychology and Experimental Psychopathology, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, The Netherlands.

出版信息

Eur J Psychotraumatol. 2025 Dec;16(1):2526885. doi: 10.1080/20008066.2025.2526885. Epub 2025 Jul 18.

Abstract

The majority of grief research has assessed Prolonged Grief (PG) symptoms using cross-sectional surveys, which are limited in capturing within-person changes in daily grief reactions. These dynamic PG reactions can be more effectively assessed using Experience Sampling Methodology (ESM). Accordingly, this data note presents a Findable, Accessible, Interoperable, and Reusable (FAIR) archive comprising three existing ESM projects investigating PG reactions in daily life. Participants in this archive completed three data collection phases: baseline measures (including sociodemographic and loss characteristics, and psychopathology measures), a 14-day ESM phase (rating PG reactions and contextual factors up to five times daily), and follow-up psychopathology assessments. The participants provided explicit digital consent for the use and reuse of their data in scientific research. In total, 315 people are included in this archive, with a total of 22,050 ESM-measurement points. The majority of the participants were middle-aged, identified as women, and had completed higher education. Almost half of the sample (48.73%) experienced the loss of a partner or child, the majority of these losses were due to natural causes (70.06%), and happened less than a year ago (59.24%). The data are stored in a trusted repository. This archive demonstrates that it is feasible to develop a FAIR archive including existing data on PG reactions in daily life. Given the resource-intensive nature and richness of these data, we encourage researchers to reuse and/or share ESM-data through this archive, helping to deepen our understanding of grief in natural settings.

摘要

大多数悲伤研究使用横断面调查来评估持续性悲伤(PG)症状,这种方法在捕捉个体日常悲伤反应的变化方面存在局限性。使用经验抽样法(ESM)可以更有效地评估这些动态的PG反应。因此,本数据说明展示了一个具备可查找、可访问、可互操作和可重复使用(FAIR)特性的存档,它包含三个现有的ESM项目,这些项目研究了日常生活中的PG反应。该存档中的参与者完成了三个数据收集阶段:基线测量(包括社会人口统计学和丧亲特征以及精神病理学测量)、为期14天的ESM阶段(每天对PG反应和情境因素进行多达五次评分)以及随访精神病理学评估。参与者明确以数字方式同意在科学研究中使用和再利用他们的数据。该存档总共纳入了315人,共有22,050个ESM测量点。大多数参与者为中年女性,且接受过高等教育。几乎一半的样本(48.73%)经历了伴侣或子女的离世,其中大多数丧亲是自然原因导致的(70.06%),且发生在不到一年前(59.24%)。数据存储在一个可信的存储库中。这个存档表明,开发一个包含日常生活中PG反应现有数据的FAIR存档是可行的。鉴于这些数据资源密集且丰富,我们鼓励研究人员通过这个存档重复使用和/或共享ESM数据,以帮助加深我们对自然情境下悲伤的理解。

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本文引用的文献

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