Evidence map›Paper›PMID 26241025›Full record

ArticleConsciousness and cognition2015

The frequency of involuntary autobiographical memories and future thoughts in relation to daydreaming, emotional distress, and age.

Dorthe Berntsen, David C Rubin, Sinue Salgado

Abstract read
In one paragraph

Article in Consciousness and cognition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  14. Involuntary autobiographical memories and their relation to other forms of spontaneous thoughts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
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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

3 authors.

Dorthe BerntsenAarhus University, Denmark. Electronic address: dorthe@psy.au.dk.
David C RubinAarhus University, Denmark; Duke University, United States.
Sinue SalgadoAarhus University, Denmark.

Funding

A Model of Autobiographical Memory & Its Changes in PTSDR01MH066079 · NIMH · DUKE UNIVERSITY · PI RUBIN, DAVID C · 2004 to 2014
$4.7M
NIMH NIH HHS R01 MH066079NIMH NIH HHS R01MH066079
6 · The paper itself

Abstract

We introduce a new scale, the Involuntary Autobiographical Memory Inventory (IAMI), for measuring the frequency of involuntary autobiographical memories and involuntary future thoughts. Using the scale in relation to other psychometric and demographic measures provided three important, novel findings. First, the frequency of involuntary and voluntary memories and future thoughts are similarly related to general measures of emotional distress. This challenges the idea that the involuntary mode is uniquely associated with emotional distress. Second, the frequency of involuntary autobiographical remembering does not decline with age, whereas measures of daydreaming, suppression of unwanted thoughts and dissociative experiences all do. Thus, involuntary autobiographical remembering relates differently to aging than daydreaming and other forms of spontaneous and uncontrollable thoughts. Third, unlike involuntary autobiographical remembering, the frequency of future thoughts does decrease with age. This finding underscores the need for examining past and future mental time travel in relation to aging and life span development.

Indexed as

FantasyMemory, EpisodicAdultAge FactorsFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsStress, PsychologicalSurveys and QuestionnairesThinkingTime FactorsYoung AdultAgingDaydreamingEmotional distressEpisodic future thinkingInvoluntary autobiographical memories

Identifiers

PMID26241025
PMCPMC4552601

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.