Evidence map›Paper›PMID 39712464›Full record

ArticleJournal of pain research2024

The Pace of Biological Aging Partially Explains the Relationship Between Socioeconomic Status and Chronic Low Back Pain Outcomes.

Edwin N Aroke, Jai Ganesh Nagidi, Vinodh Srinivasasainagendra, Tammie L Quinn, Fiona B A T Agbor, Kiari R Kinnie, Hemant K Tiwari, Burel R Goodin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pain 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

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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Edwin N Aroke *Department of Acute, Chronic, and Continuing Care, School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0002-8355-0870
Jai Ganesh NagidiDepartment of Computer Science, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Vinodh SrinivasasainagendraDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Tammie L QuinnDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Fiona B A T AgborDepartment of Acute, Chronic, and Continuing Care, School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Kiari R KinnieDepartment of Acute, Chronic, and Continuing Care, School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Hemant K TiwariDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Burel R Goodin *Department of Anesthesiology, School of Medicine, Washington University, St Louis, MO, USA.ORCID 0000-0002-8159-1310

Funding

Racial and Socioeconomic Differences in Chronic Low Back PainR01MD017565 · NIMHD · WASHINGTON UNIVERSITY · PI Burel R. Goodin · 2023 to 2026
$2.7M
Racial and Socioeconomic Differences in Chronic Low Back PainR01MD010441 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GOODIN, BUREL R., SORGE, ROBERT · 2017 to 2021
$2.6M
Epigenomic and Gene Expression Signatures of Racial Differences in Chronic Low Back PainR01AR079178 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AROKE, EDWIN NGOMUEH · 2021 to 2024
$1.6M
NIAMS NIH HHS R01 AR079178NIMHD NIH HHS R01 MD010441NIMHD NIH HHS R01 MD017565
6 · The paper itself

Abstract

Introduction: Having a lower socioeconomic status (SES) is a predictor of age-related chronic conditions, including chronic low back pain (cLBP). We aimed to examine whether the pace of biological aging mediates the relationship between SES and cLBP outcomes - pain intensity, pain interference, and physical performance. Methods: We used the Dunedin Pace of Aging Calculated from the Epigenome (DunedinPACE) software to determine the pace of biological aging in adults ages 18 to 85 years with no cLBP (n = 74), low-impact pain (n = 56), and high-impact pain (n = 77). Results: The mean chronological age of the participants was 40.9 years (SD= 15.1); 107 (51.7%) were female, and 108 (52.2%) were Black. On average, the pace of biological aging was 5% faster [DunedinPACE = 1.05 (SD = 0.14)] in the sample (DunedinPACE value of 1 = normal pace of aging). Individuals with higher levels of education had a significantly slower pace of biological aging than those with lower education levels (F = 5.546, p = 0.001). After adjusting for sex and race, household income level significantly correlated with the pace of biological aging (r = -0.17, p = 0.02), pain intensity (r = -0.21, p = 0.003), pain interference (r = -0.21, p = 0.003), and physical performance (r = 0.20, p = 0.005). In mediation analyses adjusting for sex, race, and body mass index (BMI), the pace of biological aging mediates the relationship between household income (but not education) level and cLBP intensity, interference, as well as physical performance. Discussion: Results indicate that lower SES contributes to faster biological aging, possibly contributing to greater pain intensity and interference, as well as lower physical performance. Future interventions slowing the pace of biological aging may improve cLBP outcomes.

Indexed as

chronic low back painDunedinPACEepigenetic clockhealth disparitiespace of biological agingsocioeconomic status

Identifiers

PMID39712464
PMCPMC11662669

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.