Evidence map›Paper›PMID 40258034›Full record

ArticlePloS one2025

Factors predicting parenting stress in the autism spectrum disorder context: A network analysis approach.

Khan Buchwald, Daniel Shepherd, Richard J Siegert, Matthieu Vignes, Jason Landon

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Khan BuchwaldFaculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.ORCID 0000-0002-9623-9723
Daniel ShepherdFaculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.ORCID 0000-0001-7089-7130
Richard J SiegertFaculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
Matthieu VignesSchool of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand.
Jason LandonFaculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated levels of parenting stress have been reported in parents raising an Autistic child. Previous studies have identified a multitude of predictors of parenting stress, including both child-related and parent-related factors, though findings across studies are not always in agreement. In the present study we investigate the determinants of parenting stress using a Network Analysis approach, which is then used to inform a subsequent structural equation model. New Zealand parents (n =  490) of a child diagnosed with Autism Spectrum Disorder (ASD) provided data on their Autistic child (e.g., ASD core symptoms, problem behaviours) and themselves (i.e., parenting stress). The analysis revealed that both child and parent demographic factors were poor predictors of parenting stress, while the child's current language and communication ability were correlated with diagnostic age and parenting stress. An earlier diagnostic age, in turn, suggested better behavioural and emotional outcomes for children. Overall, the Network Analysis showed itself to be an informative approach to understanding parenting stress in the ASD context. Findings further advocate for the implementation of ASD-related and language-related interventions as early as possible, and that language delays during early infancy justify prompt clinical assessment.

Indexed as

Autism Spectrum DisorderParentingParentsStress, PsychologicalAdultChildChild, PreschoolFemaleHumansMaleMiddle AgedNew Zealand

Identifiers

PMID40258034
PMCPMC12011239

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Registered trials

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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.