Evidence map›Paper›PMID 38059524›Full record

Observational studyEuropean journal of pain (London, England)2024

Sociodemographic disparities and potential biases in persistent pain estimates: Findings from 5 waves of the Irish Longitudinal Study on Ageing (TILDA).

E Ryan, A Hannigan, H Grol-Prokopczyk, P May, H Purtill

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in European journal of pain (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 3 countries.

E RyanDepartment of Mathematics and Statistics, University of Limerick, Limerick, Ireland.ORCID 0000-0001-8138-1893
A HanniganSchool of Medicine, University of Limerick, Limerick, Ireland.ORCID 0000-0003-0554-2741
H Grol-ProkopczykDepartment of Sociology, University at Buffalo, State University of New York, Buffalo, New York, USA.ORCID 0000-0002-3270-637X
P MayCentre for Health Policy and Management, School of Medicine, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0001-8501-6500
H PurtillDepartment of Mathematics and Statistics, University of Limerick, Limerick, Ireland.ORCID 0000-0002-3714-4767
University of Limerick · IEKing's College London · GBUniversity at Buffalo, State University of New York · US

Funding

The Demography of Chronic Pain: A Population Approach to Pain Trends, Pain Disparities, and Pain-Related Disability and DeathR01AG065351 · NIA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI GROL-PROKOPCZYK, HANNA · 2020 to 2024
$1.5M
NIA NIH HHS R01 AG065351Science Foundation Ireland 18/CRT/6049
6 · The paper itself

Abstract

backgroundPain is a prevalent, debilitating condition among older adults. Much evidence on this topic comes from cohort studies, which may be affected by attrition and measurement bias. Little is known about the impact of these biases on pain estimates for European older adults. Additionally, there is a lack of longitudinal research on pain and sociodemographic disparities in Irish older adults.

methodsWe analysed data from 8171 participants (aged ≥50 at baseline) across five waves of the Irish Longitudinal Study on Ageing. Longitudinal pain severity and sociodemographic disparities in pain were explored visually and using a latent growth curve model. Using multivariate logistic regression, we examined bias due to attrition at later waves associated with reported pain at Wave 1. Measurement biases due to reporting heterogeneity were assessed by investigating associations between sociodemographic factors and pain-related disability for given pain levels.

resultsWave 1 severe pain was associated with increased odds of attrition due to death by Wave 5 (AOR: 1.63, 95% CI: 1.20, 2.19). Not having private health insurance was associated with increased odds of pain-related disability at Wave 1, controlling for pain severity (AOR: 1.37, 95% CI: 1.15, 1.64). These results suggested mortality bias and reporting heterogeneity measurement bias, respectively. Sex, education level, and private health insurance status disparities in pain were observed longitudinally.

conclusionsMortality bias and reporting heterogeneity measurement bias must be accounted for to improve older adult pain estimates. There is a need for policymakers to address sociodemographic disparities in older adult pain levels. SIGNIFICANCE: This study highlights a need to address bias in the estimation of pain in observational studies of older adults. Understanding the sources and extent of these biases is important so that health practices and policies to address pain disparities can be guided by accurate estimates. Women, those with lower educational attainment, and those without private health insurance were found to have the highest pain burden longitudinally, suggesting a need for targeted interventions for these groups in Ireland and internationally.

Indexed as

AgingPainAgedBiasCohort StudiesFemaleHumansLongitudinal Studies

Identifiers

PMID38059524
PMCPMC11023795
OpenAlexW4389452894

What OpenQuestion holds

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Registered trials

None linked

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.