Ly Amanda, Fisher Emma, P Dunham James, Attermo Dufva Josefin, Northstone Kate, Jordan Abbie, E Pickering Anthony, Gooberman-Hill Rachael, Keogh Edmund, M Pearson Rebecca, Sallis Hannah
Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol Medical School, Bristol, England, UK.
MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol Medical School, Bristol, England, UK.
Wellcome Open Res. 2024 Sep 12;9:521. doi: 10.12688/wellcomeopenres.22815.1. eCollection 2024.
To study pain, data on pain characteristics, possible triggers and consequences - such as the impact of pain on people's lives - need to be available. When not collated, described and/or organised in a systematic manner, it can be difficult to assess how useful an existing dataset may be for one's project. This data note describes and categorises the complex and multi-modal indices of pain available in the Avon Longitudinal Study of Parents and Children (ALSPAC).
Data from two generations of the ALSPAC cohort; index child participants (Generation 1, G1), their mothers and fathers/mothers' partners (Generation 0, G0) were used. Search terms such as 'pain', 'ache', 'hurt', 'sore', specific pain conditions, labour pain and methods of pain relief were used to identify pain and pain-related variables. These data were extracted from all waves of data collection. We developed pain categories and subsequently categorised variables in an iterative process. Repeated measurements of the same variables over waves of data collection were also identified.
We identified 21 categories of pain variables, which were subsequently grouped into themes: pain characteristics, extended pain characteristics and causes, treatment for pain, pain interference and pain-related to specific events. Pain and pain-related data have been collected from G1 participants, G0 mothers, and G0 partners, although there are fewer data for the partners. There were some repeated measurements, most commonly, of pain location. As is typical with longitudinal birth cohort studies, maternal proxy-reports were used during participants' younger years and self-reports were utilised from adolescence onwards.
Researchers interested in studying pain can feasibly do so in two generations of a regional UK population who have been followed up over 30 years. ALSPAC can be used to study pain from the early years through to young adulthood and in mothers from the perinatal period onwards.
为了研究疼痛,需要获取有关疼痛特征、可能的触发因素和后果的数据,例如疼痛对人们生活的影响。如果没有以系统的方式进行整理、描述和/或组织,就很难评估现有数据集对个人项目的有用性。本数据说明描述并分类了阿冯父母与儿童纵向研究(ALSPAC)中可用的复杂多模态疼痛指标。
使用了ALSPAC队列两代人的数据;索引儿童参与者(第一代,G1)、他们的母亲和父亲/母亲的伴侣(第零代,G0)。使用“疼痛”“疼痛”“伤痛”“酸痛”、特定疼痛状况、分娩疼痛和疼痛缓解方法等搜索词来识别疼痛及与疼痛相关的变量。这些数据从所有数据收集波次中提取。我们开发了疼痛类别,并在迭代过程中对变量进行分类。还确定了在多轮数据收集中对相同变量的重复测量。
我们确定了21类疼痛变量,随后将其分为几个主题:疼痛特征、扩展疼痛特征和原因、疼痛治疗、疼痛干扰以及与特定事件相关的疼痛。已经从G1参与者、G0母亲和G0伴侣那里收集了疼痛及与疼痛相关的数据,尽管伴侣的数据较少。有一些重复测量,最常见的是疼痛部位。与典型的纵向出生队列研究一样,在参与者年幼时使用母亲的代理报告,从青春期开始使用自我报告。
对研究疼痛感兴趣的研究人员可以在对英国一个地区的人群进行了30多年随访的两代人中切实可行地开展研究。ALSPAC可用于研究从早年到青年期的疼痛,以及从围产期开始的母亲的疼痛。