Evidence map›Paper›PMID 41938169›Full record

ArticleJournal of social and personal relationships2026

A dyadic daily diary investigation of partner-schema structures on relational well-being and depressed mood.

Gabriela C M Murphy, Fei Ying, Owen Hicks, Jessica A Maxwell, David J A Dozois

Abstract read
In one paragraph

Article in Journal of social and personal relationships, 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
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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

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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

5 authors.

Gabriela C M MurphyWestern University, Canada.ORCID https://orcid.org/0000-0003-2216-9360
Fei YingWestern University, Canada.ORCID https://orcid.org/0000-0003-1899-6005
Owen HicksWestern University, Canada.ORCID https://orcid.org/0000-0003-1853-7319
Jessica A MaxwellMcMaster University, Canada.ORCID https://orcid.org/0000-0002-5482-6911
David J A DozoisWestern University, Canada.ORCID https://orcid.org/0000-0002-0857-0679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Partner-schemas structures (i.e., the degree of interconnectedness in the beliefs one holds about their romantic partner) have been associated with relationship well-being and, to a lesser degree, depression, in cross-sectional research. However, little is known about how schema structures may impact couples in their daily lives. To address this gap, 260 couples were sampled at baseline to assess partner-schema structures, then surveyed for 14 days. Daily surveys captured relationship quality, relationship conflict severity, and relationship rumination; changes in relationship quality and relationship rumination on the day of a relational conflict; and depressed mood. Using multilevel modelling, guided by the Actor-Partner Interdependence Model, significant actor and partner effects emerged. Generally, the results suggest that an individual's partner-schema structures are significantly associated with their own daily relationship quality, relationship rumination, increased relationship rumination on the day of a relational conflict, and depressed mood. Two partner effects also emerged, indicating that one's own partner-schema structures may shape one's partner's relationship rumination on the day of a conflict, as well as their partner's depressed mood. Exploratory analyses also suggest that the linkages between conflict severity and daily relationship quality, daily relationship rumination, and daily depressed mood may be moderated by partner-schema structures. These findings extend previous cross-sectional research to the daily dyadic context. Implications for future research are discussed.

Indexed as

Daily diarydepressionrelationship well-beingromantic relationshipsschemas

Identifiers

PMID41938169
PMCPMC13044449

What OpenQuestion holds

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LicenceCC BY
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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.