ArticleAffective science2024
Examining Dyadic Stress Appraisal Processes Within Romantic Relationships from a Challenge and Threat Perspective.
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 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Interpersonal Conversations Are Characterized by Increases in Respiratory Sinus Arrhythmia.Psychophysiology · 2025Article
- Demand-resource evaluations and post-performance thoughts in classical music students: how they are linked and influenced by music performance anxiety, audience, and time.Frontiers in psychology · 2025Article
- Emphasizing theAffective science · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The biopsychosocial model of challenge and threat emphasizes how individuals appraise stress. Close relationship theories emphasize the interpersonal context, communication, and outcomes that arise from stress. We integrate these approaches by examining the individual variability surrounding appraisals of sufficient (more challenge, less threat) or insufficient (more threat, less challenge) resources to cope with demands and examining how these appraisals are associated with couples' behavior and feelings toward each other. Across three studies, 459 romantic couples ( Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-024-00235-3.
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Registered trials
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.