Evidence map›Paper›PMID 42599001›Full record

ArticleThe British journal of social psychology2026

Predictors of affect across social contexts: An integration of existing diary datasets.

Anna Tovmasyan, Denethri Gamagedara, Kou Murayama, Julie Bowker, Robert Coplan, Jennifer Lay, Thuy-Vy Nguyen, Dongning Ren, Olga Stavrova, Virginia Thomas and 2 more

Abstract read
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In one paragraph

Article in The British journal of social psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Anna TovmasyanSchool of Psychology and Clinical Sciences, University of Reading, Reading, UK.ORCID https://orcid.org/0000-0002-9297-0084
Denethri GamagedaraSchool of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.
Kou MurayamaHector Research Institute of Education Sciences and Psychology, University of Tübingen, Tübingen, Germany.
Julie BowkerDepartment of Psychology, University at Buffalo, Buffalo, New York, USA.
Robert CoplanDepartment of Psychology, Carleton University, Ottawa, Ontario, Canada.
Jennifer LayDepartment of Psychology, University of Exeter, Exeter, UK.
Thuy-Vy NguyenDepartment of Psychology, Durham University, Durham, UK.ORCID https://orcid.org/0000-0003-0777-4204
Dongning RenDepartment of Work and Social Psychology, Maastricht University, Maastricht, the Netherlands.
Olga StavrovaDepartment of Social Psychology and Microsociology, University of Mannheim, Mannheim, Germany.
Virginia ThomasDepartment of Psychology, Middlebury College, Middlebury, Vermont, USA.
Dwight TseDepartment of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
Netta WeinsteinSchool of Psychology and Clinical Sciences, University of Reading, Reading, UK.

Funding

European Research Council 85190_SOAR
6 · The paper itself

Abstract

Daily life is characterized by periods of complete and public solitude, face-to-face interactions and digitally mediated interactions when alone or with others, all of which elicit varying degrees and different types of affect. This study aimed to provide a comprehensive understanding of affect during these distinct everyday contexts. By combining data from 11 distinct datasets, we examined how time spent in complete solitude (not interacting and with no-one around), digitally mediated interactions when alone, public solitude (not interacting but with others present), interacting face-to-face and digitally mediated interactions when with others, as well as individual differences in age and extraversion, were associated with four types of affect distinguished on two dimensions (arousal and valence) and loneliness. Results showed that prior face-to-face interactions were associated with increased high-arousal positive affect and decreased low-arousal positive affect. This research offers nuanced insights into how social and solitary contexts, personality and age contribute to everyday affective experiences.

Indexed as

AffectExtraversion, PsychologicalInterpersonal RelationsLonelinessSocial InteractionAdultAge FactorsFemaleHumansIndividualityMaleaffectageextraversionsocial interactionssolitude

Identifiers

PMID42599001
PMCPMC13474902

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.