Evidence map›Paper›PMID 38627074›Full record

ArticleClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2024

Association between Maternal Personality Traits and Children's Sleep Disturbance: A Population-based Cohort Study in Republic of Korea.

Ki Hyeon Kwak, Yunhye Oh

Abstract read
In one paragraph

Article in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2024. 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

What it found

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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

2 authors.

Ki Hyeon KwakDepartment of Child and Adolescent Psychiatry, National Center for Mental Health, Seoul, Korea.ORCID https://orcid.org/0009-0006-0166-7343
Yunhye OhDepartment of Psychiatry, Hallym University Sacred Heart Hospital, Anyang, Korea.ORCID https://orcid.org/0000-0002-5945-2621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sleep affects the development and severity of psychiatric symptoms in children, and maternal personality traits may influence children's sleep. We aimed to confirm the longitudinal effect of maternal personality traits on children's sleep disturbance using cohort data from the Panel Study on Korean Children. Methods: Maternal personality traits were assessed using the Personality Assessment Inventory in 2009, and the sleep disturbance of children was assessed using parent survey data from 2010 to 2014 (2nd-6th waves). Among the 11 clinical scales of the Personality Assessment Inventory, the 5 scales that showed the most significant correlations were analyzed. Presence or absence of child sleep disturbance was evaluated with a chi-square test, and the effect of the Personality Assessment Inventory was assessed by a binary logistic regression analysis with child sleep disturbance as the dependent variable. Results: Of the 171 mother-child dyads, 92 were classified into the sleep disturbance group and 79 were classified into the normal sleep group. Maternal somatic concerns showed a significant relationship with children's sleep disturbance at years 2 and 3. Maternal borderline features demonstrated a significant relationship with children's sleep disturbance from years 2 to 5. The binary logistic regression analysis revealed a significant association between high borderline features and children's sleep disturbance at years 2 and 3. Conclusion: High maternal borderline features evaluated at child age 1 were related to sleep disturbance in early childhood. In assessing a children's sleep problems, it may be important to examine mothers' dysfunctional personality traits.

Indexed as

ChildCohort studiesMotherPersonalitySleep

Identifiers

PMID38627074
PMCPMC11024706

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