Evidence map›Paper›PMID 40847582›Full record

ArticleJournal of advanced nursing2026

Mediating Effects of Parental Family Adaptation on the Quality of Life of Children With Down Syndrome: A Study of Father-Mother Dyads.

Seung Hyeon Yang, Chang Gi Park, Eun Kyoung Choi

Abstract read
In one paragraph

Article in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Seung Hyeon YangCollege of Nursing, Research Institute of AI and Nursing Science, Gachon University, Incheon, Republic of Korea.ORCID https://orcid.org/0000-0003-0824-5961
Chang Gi ParkCollege of Nursing, University of Illinois Chicago, Chicago, Illinois, USA.
Eun Kyoung ChoiCollege of Nursing and Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-4622-2437

Funding

Chijeong Shim Child Nursing Research, Yonsei University College of NursingCollege of Nursing, Yonsei UniversityHealth Fellowship FoundationSigma Theta Tau International Honor Society of NursingYonsei University College of Nursing
6 · The paper itself

Abstract

aimTo investigate the impact of parenting stress in both fathers and mothers on the quality of life (QoL) of children with down syndrome (DS) and the mediating effect of family adaptation.

designThis cross-sectional study was conducted between April 2023 and August 2023.

methodsA total of 106 father-mother dyads of children with DS aged 2-12 years in South Korea were included. The parents independently completed questionnaires assessing parenting stress, family adaptation, and their children's QoL. The Actor-Partner Interdependence Mediation Model was used for the dyadic analysis.

resultsThe direct effect of parenting stress on children's QoL was not significant; however, the indirect effect of family adaptation was significant. Fathers' parenting stress indirectly influenced their children's QoL through their own and their mothers' family adaptations. Conversely, mothers' parenting stress indirectly influenced their children's QoL through their own family adaptation, although the mediating effect of fathers was not statistically significant.

conclusionsHigher family adaptation in both fathers and mothers was associated with an improved QoL in children with DS. The pathways through which parents influenced their children's QoL differed but were interdependent. Therefore, dyadic interventions aimed at improving family adaptation in both fathers and mothers may help improve the QoL of children with DS. IMPACT: This is the first study to examine parental influence on children's QoL based on dyadic interactions among fathers, mothers, and children with DS. This study highlights the importance of assessing and promoting fathers' and mothers' levels of family adaptation to improve the QoL of children with DS. Nurses should consider effective dyadic interventions for families that include both parents to maximise improvements in the QoL of children with DS. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contributions. REPORTING

methodThis study adhered to the STROBE guidelines for cross-sectional studies.

Indexed as

Adaptation, PsychologicalDown SyndromeFathersMothersParentingParentsQuality of LifeAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleMiddle AgedRepublic of Koreaactor–partner interdependence modelchilddown syndromefamily adaptationfamily dynamicsfather–mother interactionspaediatric nursingparenting stressquality of lifetriadic data analysis

Identifiers

PMID40847582
PMCPMC13069240

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LicenceCC BY-NC-ND
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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.