Evidence map›Paper›PMID 41051868›Full record

ArticleJMIR research protocols2025

Assessing Day-to-Day Emotion Dynamics Within the Whole Family: Protocol for a Family-Wide Ecological Momentary Assessment Study (The Family and Child Emotion Study).

Natasha Vogel, Linda Sosa-Hernandez, Charlotte Funston, Evelyn Balfour, Kristel Thomassin

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Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Natasha VogelDepartment of Psychology, University of Guelph, Guelph, ON, Canada.ORCID 0009-0000-0393-7542
Linda Sosa-HernandezDepartment of Psychology, University of Guelph, Guelph, ON, Canada.ORCID 0000-0001-7255-4035
Charlotte FunstonDepartment of Psychology, University of Guelph, Guelph, ON, Canada.ORCID 0009-0009-4809-9824
Evelyn BalfourDepartment of Psychology, University of Guelph, Guelph, ON, Canada.ORCID 0009-0001-1280-2145
Kristel ThomassinDepartment of Psychology, University of Guelph, Guelph, ON, Canada.ORCID 0000-0002-8729-2581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamilies play a pivotal role in shaping children's emotional development through emotion socialization. However, most research has focused on individual or dyadic relationships, such as those between parents and children, overlooking the more complex dynamics that emerge when multiple family members interact simultaneously. This limited perspective fails to capture the full scope of the interconnected emotional processes within family units. A contributing factor to this gap is the limited availability of models suited for capturing and analyzing complex, family-level data.

objectiveThe Family and Child Emotion Study aims to address this gap by examining family-wide emotion dynamics across all family members-including parents and children-as they naturally unfold in daily life.

methodsThis protocol uses a pre-post design and a 7-day ecological momentary assessment period combined with ambulatory monitoring of heart rate and electrodermal activity within whole family units to examine interactions among mothers, fathers, and siblings, providing a comprehensive understanding of family-wide emotion processes. Data will be analyzed using a network analytical approach, specifically multilevel vector autoregressive modeling, to investigate dynamic emotional processes within and between family members.

resultsFunding was received in April 2020. Data collection began in September 2022 and will continue until March 2026. As of May 2025, the Family and Child Emotion Study has collected data from 48 eligible families. Data analyses will begin after March 2026, with results expected to be published in Fall 2027.

conclusionsThis study introduces an innovative approach for examining emotion dynamics within whole-family systems in naturalistic settings, offering practical guidance for collecting and analyzing complex, multilevel, and nested data. The primary aim is to investigate how family emotion networks contribute to children's emotional functioning and development. A secondary aim is to explore key factors, such as parental psychological functioning and child emotion regulation abilities, that may shape these networks. This protocol serves as a valuable framework for future researchers exploring family-wide emotion dynamics. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/77364.

Indexed as

Ecological Momentary AssessmentEmotionsFamilyFamily RelationsAdultChildChild, PreschoolFemaleHumansMaleParentschildecological momentary assessmentemotionfamilyphysiologyregulation

Identifiers

PMID41051868
PMCPMC12538192

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.