Evidence map›Paper›PMID 39386969›Full record

ArticleWellcome open research2024

A summary of pain and pain-related variables in the Avon Longitudinal Study of Parents and Children.

Amanda Ly, Emma Fisher, James P Dunham, Josefin Attermo Dufva, Kate Northstone, Abbie Jordan, Anthony E Pickering, Rachael Gooberman-Hill, Edmund Keogh, Rebecca M Pearson and 1 more

Abstract read
In one paragraph

Article in Wellcome open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Amanda LyCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol Medical School, Bristol, England, UK.ORCID https://orcid.org/0000-0002-4348-5146
Emma FisherDepartment for Health, University of Bath, Bath, England, UK.
James P DunhamAnaesthesia, Pain and Critical Care Sciences, School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK.
Josefin Attermo DufvaDepartment for Health, University of Bath, Bath, England, UK.
Kate NorthstonePopulation Health Sciences, Bristol Medical School, University of Bristol Medical School, Bristol, England, UK.ORCID https://orcid.org/0000-0002-0602-1983
Abbie JordanDepartment of Psychology & Centre for Pain Research, University of Bath, Bath, England, UK.
Anthony E PickeringAnaesthesia, Pain and Critical Care Sciences, School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-0345-0456
Rachael Gooberman-HillUniversity of Bristol Medical School, Bristol, England, UK.ORCID https://orcid.org/0000-0003-3353-2882
Edmund KeoghDepartment of Psychology & Centre for Pain Research, University of Bath, Bath, England, UK.
Rebecca M PearsonCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol Medical School, Bristol, England, UK.
Hannah SallisCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol Medical School, Bristol, England, UK.ORCID https://orcid.org/0000-0002-4793-6290

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: 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). Methods: 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. Results: 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. Conclusions: 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.

Indexed as

ALSPACcohortimpactlongitudinal datapain

Identifiers

PMID39386969
PMCPMC11462121

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.