Evidence map›Paper›PMID 41329423›Full record

ArticleJournal of autism and developmental disorders2025

Parental Burnout in Chinese Parents of Children With Developmental Disabilities: A Generalized Additive Model Perspective.

Tingrui Yan, Yujia Hou, Yuhao Deng

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Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers 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

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.

Tingrui YanSpecial Education Department, Faculty of Education, East China Normal University, Shanghai, China.
Yujia HouShanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai, China. yujia_hou@shnu.edu.cn.
Yuhao DengFaculty of Education, The University of Hong Kong, Hong Kong SAR, China.

Funding

National Office for Philosophy and Social Sciences CHA 210263
6 · The paper itself

Abstract

purposeThis study aimed to investigate the predictors of parental burnout among Chinese parents of children with developmental disabilities (DD), focusing on the potential nonlinear and interactive effects of socio-demographic characteristics, Big Five personality traits, and parenting perfectionism.

methodsA total of 528 parents of children with DD were recruited from various regions in China. Participants completed standardized questionnaires assessing parental burnout, Big Five personality traits, parenting perfectionism, and socio-demographic characteristics. To examine both linear and nonlinear associations between these predictors and parental burnout, we employed generalized linear model (GLM)-the extension of linear regression that accommodates non-normal outcome distributions-and generalized additive model (GAM), which allow for the flexible modeling of nonlinear effects. Interaction effects between personality traits and parenting perfectionism were also tested using GAM.

resultsResults indicated that GAM outperformed GLM in capturing complex relationships, revealing significant nonlinear associations between parental burnout and several predictors, including parental age, education, income, extraversion, agreeableness, neuroticism, and both dimensions of parenting perfectionism. Notably, personality traits and parenting perfectionism interacted in predicting burnout. For example, high neuroticism combined with high perfectionistic concerns significantly increased the risk of burnout.

conclusionThe study underscores the need to consider nonlinear and interactive effects in understanding parental burnout. GAM offers a useful approach for revealing complex patterns, especially in non-Western contexts.

Indexed as

Generalized additive modelParental burnoutPerfectionismPersonality

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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.