Evidence map›Paper›PMID 39050037›Full record

ArticleAffective science2024

Speaking Well and Feeling Good: Age-Related Differences in the Affective Language of Resting State Thought.

Teodora Stoica, Eric S Andrews, Austin M Deffner, Christopher Griffith, Matthew D Grilli, Jessica R Andrews-Hanna

Abstract read
In one paragraph

Article in Affective science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

6 authors.

Teodora StoicaDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ 85721 USA.ORCID 0000-0003-1797-7443
Eric S AndrewsDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ 85721 USA.
Austin M DeffnerDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ 85721 USA.
Christopher GriffithDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ 85721 USA.
Matthew D GrilliDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ 85721 USA.ORCID 0000-0003-0089-3243
Jessica R Andrews-HannaDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ 85721 USA.ORCID 0000-0003-1769-6756

Funding

Tracking autobiographical thoughts: a smartphone-based approach to identifying cognitive correlates of Alzheimer's disease biomarkers and risk factors in clinically normal older adultsR01AG068098 · NIA · UNIVERSITY OF ARIZONA · PI Jessica Renee Andrews-Hanna, Matthew D Grilli · 2022 to 2026
$3.5M
Tracking autobiographical thoughts: a smartphone-based approach to the detection of cognitive and neural markers of Alzheimer's disease riskR56AG068098 · NIA · UNIVERSITY OF ARIZONA · PI ANDREWS-HANNA, JESSICA RENEE, GRILLI, MATTHEW D · 2020 to 2020
$642k
NIA NIH HHS R01 AG068098NIA NIH HHS R56 AG068098
6 · The paper itself

Abstract

Despite the prevalence and importance of resting state thought for daily functioning and psychological well-being, it remains unclear how such thoughts differ between young and older adults. Age-related differences in the affective tone of resting state thoughts, including the affective language used to describe them, could be a novel manifestation of the positivity effect, with implications for well-being. To examine this possibility, a total of 77 young adults ( Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-024-00239-z.

Indexed as

AgingEmotionLanguageThoughtWell-being

Identifiers

PMID39050037
PMCPMC11264499

What OpenQuestion holds

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Registered trials

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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.