Evidence map›Paper›PMID 40492028›Full record

ArticleNeuropsychiatric disease and treatment2025

Effects of Intelligence Levels and Autistic Severity on Adaptive Functioning and Cognitive-Adaptive Functioning Gaps in School-Aged Children with Autism Spectrum Disorder.

Wen-Yuan Jin, Chao Song, Yan-Yan Wang, Xiao-Lin Liu, Wen-Hao Li, Ling-Ling Wu, Zhi-Wei Zhu

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 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

7 authors.

Wen-Yuan JinDepartment of Developmental Behavioral Pediatrics, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People's Republic of China.
Chao SongDepartment of Developmental Behavioral Pediatrics, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People's Republic of China.
Yan-Yan WangDepartment of Developmental Behavioral Pediatrics, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People's Republic of China.
Xiao-Lin LiuDepartment of Developmental Behavioral Pediatrics, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People's Republic of China.
Wen-Hao LiDepartment of Developmental Behavioral Pediatrics, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People's Republic of China.
Ling-Ling WuDepartment of Developmental Behavioral Pediatrics, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People's Republic of China.
Zhi-Wei ZhuDepartment of Developmental Behavioral Pediatrics, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of our study was to explore the underlying influencing factors of adaptive functioning and cognitive-adaptive functioning gaps in school-aged children with autism spectrum disorder (ASD). Patients and Methods: Adaptive functioning of our subjects (n=107) were evaluated via Adaptive Behavior Assessment System (ABAS). Wechsler Intelligence Scale for Children (WISC) and Autism Diagnostic Observation Schedule (ADOS) were applied to assess the intelligence levels and autistic severity of them, respectively. Spearman correlation analyses were applied to investigate the associations between intelligence levels, autistic symptoms and adaptive functioning and cognitive-adaptive functioning gaps. Hierarchical regressions were performed to examine the effects of demographic data, cognitive levels, autistic severity and behavioral factors on General Adaptive Composite (GAC). Results: Verbal Comprehension Index (VCI), Perceptual Reasoning Index (PRI), Working Memory Index (WMI) and Processing Speed Index (PSI) of WISC were positively correlated with Conceptual, Social domains and GAC (P<0.01). There were positive correlations between VCI, PRI and PSI and Practical domain (P<0.01). Positive associations were discovered between full-scale intelligence quotient (FSIQ) and the three domains and GAC in ABAS (P<0.01). Social Affect (SA), Restricted and Repetitive Behavior (RRB) and Total scores of ADOS were negatively correlated with the three domains (P<0.05). Comparison Scores were negatively correlated with Conceptual and Social domains (P<0.05). Negative correlations were found between SA, RRB, Total scores, Comparison Scores and GAC (P<0.05). VCI, PRI, WMI, PSI and FSIQ were positively correlated with FSIQ-Conceptual, FSIQ-Social, FSIQ-Practical and FSIQ-GAC gaps (P<0.01). SA was inversely correlated with FSIQ-Conceptual and FSIQ-Practical gaps (P<0.05). Total scores were inversely correlated with FSIQ-Conceptual, FSIQ-Practical and FSIQ-GAC gaps (P<0.05). Hierarchical regressions showed that FSIQ was positively correlated with GAC in the total model (P=0.015); whereas RRB was inversely correlated with GAC (P=0.014). Conclusion: Intelligence levels and autistic severity were important contributors of adaptive functioning and cognitive-adaptive functioning gaps in children with ASD.

Indexed as

adaptive functioningautism spectrum disordercognitive-adaptive functioning gapintelligenceseverity

Identifiers

PMID40492028
PMCPMC12146886

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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.