Evidence map›Paper›PMID 35658697›Full record

ArticleJournal of aging and health2023

Stressors and Pain across the Late-Life Span: Findings from Two Parent Longitudinal Studies of Aging and Health.

Penny L Brennan

Open access · hybridAbstract read
In one paragraph

Article in Journal of aging and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

Penny L BrennanInstitute for Health & Aging, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-2914-2753
University of California, San Francisco · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Alcohol Problems: Long-Term Course in Late-LifeR01AA015685 · NIAAA · STANFORD UNIVERSITY · PI MOOS, RUDOLF · 2006 to 2010
$1.5M
Ecological Model of Late-Life PainR21AG053593 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRENNAN, PENNY · 2017 to 2018
$436k
Pain, Depression and Alcohol Use in Later LifeR01AA017477 · NIAAA · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI BRENNAN, PENNY · 2009 to 2010
$338k
NIAAA NIH HHS R01 AA015685NIAAA NIH HHS R01 AA017477NIA NIH HHS R21 AG053593NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

objectiveThe objective is to determine associations between stressors and pain across the late-life span.

methodMultilevel linear modeling was applied separately to harmonized repeated measures data from the Longitudinal Late-Life Health study (LLLH;

resultsIn both the LLLH and HRS samples, independent of age, gender, and race, participants with higher average stressor levels experienced more numerous painful conditions and higher pain severity over the study intervals. In the HRS sample, they also experienced higher levels of pain interference. In general, participants' stressor levels did not influence rates of increase in their pain. Gender and race had few moderating effects on associations between stressors and pain. DISCUSSION: Stressors and pain are associated across the late-life span. Future research should focus on the mediating mechanisms that account for this association and the moderating factors that affect its strength.

Indexed as

LongevityStress, PsychologicalAgingHumansLongitudinal StudiesPainlongitudinalolder adultspainstressors

Identifiers

PMID35658697
PMCPMC10478334
OpenAlexW4281961460

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.