Evidence map›Paper›PMID 34404244›Full record

ArticleJournal of aging and health2022

Sociodemographic and Clinical Predictors of Prescription Opioid Use in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older Adults.

Kristin Y Shiue, Nabarun Dasgupta, Rebecca B Naumann, Amanda E Nelson, Yvonne M Golightly

Open access · hybridAbstract read
In one paragraph

Article in Journal of aging and health, 2022. 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
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Kristin Y Shiue41474University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0002-5337-6656
Nabarun Dasgupta41474University of North Carolina, Chapel Hill, NC, USA.
Rebecca B Naumann41474University of North Carolina, Chapel Hill, NC, USA.
Amanda E Nelson41474University of North Carolina, Chapel Hill, NC, USA.
Yvonne M Golightly41474University of North Carolina, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · US

Funding

UNC Core Center for Clinical ResearchP30AR072580 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEIGH Fleming CALLAHAN, Amanda E Nelson · 2019 to 2026
$6.1M
Project 3P60AR049465 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JORDAN, JOANNE M. · 2003 to 2008
$6.0M
NIAMS Multidisciplinary Clinical Research CenterP60AR064166 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CALLAHAN, LEIGH FLEMING · 2013 to 2017
$5.8M
Biomarkers to Advance Clinical Phenotypes of Low Back Pain (BACk)R01AR071440 · NIAMS · DUKE UNIVERSITY · PI Adam Goode · 2017 to 2026
$5.0M
Johnston County Osteoarthritis Project: Arthritis, Disability, and Other Chronic DiseasesU01DP006266 · DP · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NELSON, AMANDA E · 2016 to 2020
$3.8M
The Johnston County OA Project: Arthritis and DisabilityU01DP003206 · DP · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JORDAN, JOANNE M. · 2011 to 2015
$3.2M
Development of an AI/ML-ready knee ultrasound dataset in a population-based cohortR01AR077060 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NELSON, AMANDA E · 2020 to 2024
$2.0M
Joint Hypermobility and Lower Body OsteoarthritisR01AR067743 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GOLIGHTLY, YVONNE M · 2015 to 2018
$1.6M
Application of advanced methodology to osteoarthritis phenotypingR21AR074685 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NELSON, AMANDA E · 2020 to 2021
$361k
ACL HHS U01DP003206ACL HHS U01DP006266NCCDPHP CDC HHS U01 DP003206NCCDPHP CDC HHS U01 DP006266NIAMS NIH HHS P30 AR072580NIAMS NIH HHS P60 AR049465NIAMS NIH HHS P60 AR064166NIAMS NIH HHS R01 AR067743NIAMS NIH HHS R01 AR077060NIAMS NIH HHS R21 AR074685
6 · The paper itself

Abstract

objectivesIdentifying factors associated with opioid use in middle-aged and older adults is a fundamental step in the mitigation of potentially unnecessary opioid consumption and opioid-related harms.

methodsUsing longitudinal data on a community-based cohort of adults aged 50-90 years residing in Johnston County, North Carolina, we examined sociodemographic and clinical factors in non-opioid users (

resultsAt follow-up, 13% of participants were using prescription opioids. In the multivariable model, high pain catastrophizing (adjusted odds ratio; 95% confidence interval = 2.14; 1.33-3.46), polypharmacy (2.08; 1.23-3.53), and history of depressive symptoms (2.00; 1.19-3.38) were independent markers of opioid use. DISCUSSION: Findings support the assessment of these modifiable factors during clinical encounters in patients ≥ 50 years old with chronic pain.

Indexed as

Analgesics, OpioidChronic PainAgedAged, 80 and overCohort StudiesHumansLongitudinal StudiesMiddle AgedPrescriptionsAnalgesics, Opioiddepressive symptomslongitudinalpain catastrophizingpolypharmacyprescription opioid use

Identifiers

PMID34404244
PMCPMC8854450
OpenAlexW3194701044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.