Influence of parental education on the intelligence quotient profiles and socially adaptive behavior of school-age children with autism spectrum disorder in eastern China

Wenhao LI; Chao SONG; Lifei HU; Lingling WU; Zhiwei ZHU

doi:10.1631/jzus.B2300354

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Research Article | Updated：2024-12-03

Influence of parental education on the intelligence quotient profiles and socially adaptive behavior of school-age children with autism spectrum disorder in eastern China
Influence of parental education on the intelligence quotient profiles and socially adaptive behavior of school-age children with autism spectrum disorder in eastern China
父母教育水平对中国东部地区孤独症谱系障碍学龄儿童智力及社会适应行为的影响
Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology) Vol. 25, Issue 11, Pages: 1009-1019(2024)
Affiliations：

Department of Developmental and Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou310053, China
Funds：
DOI：10.1631/jzus.B2300354
CLC：
CSTR：
Published： 15 November 2024 ，

Published Online： 08 February 2024 ，

Received： 22 May 2023 ，

Revised： 24 September 2023 ，
Accepted：

李文豪,宋超,胡莉菲等.父母教育水平对中国东部地区孤独症谱系障碍学龄儿童智力及社会适应行为的影响[J].浙江大学学报（英文版）（B辑：生物医学和生物技术）,2024,25(11):1009-1019.

WENHAO LI, CHAO SONG, LIFEI HU, et al. Influence of parental education on the intelligence quotient profiles and socially adaptive behavior of school-age children with autism spectrum disorder in eastern China. [J]. Journal of zhejiang university-science b (biomedicine & biotechnology), 2024, 25(11): 1009-1019.
李文豪,宋超,胡莉菲等.父母教育水平对中国东部地区孤独症谱系障碍学龄儿童智力及社会适应行为的影响[J].浙江大学学报（英文版）（B辑：生物医学和生物技术）,2024,25(11):1009-1019. DOI： 10.1631/jzus.B2300354.

WENHAO LI, CHAO SONG, LIFEI HU, et al. Influence of parental education on the intelligence quotient profiles and socially adaptive behavior of school-age children with autism spectrum disorder in eastern China. [J]. Journal of zhejiang university-science b (biomedicine & biotechnology), 2024, 25(11): 1009-1019. DOI： 10.1631/jzus.B2300354.

摘要

智力水平和适应行为是孤独症谱系障碍（ASD）儿童进入主流学校的影响因素。本研究旨在探讨ASD儿童父母受教育程度与ASD儿童智力水平及适应行为之间的关系。研究对象为2017年1月至2021年6月就诊的257例学龄期ASD儿童。ASD儿童的父母完成了一份标准的人口学信息统计表，包括诊断时的年龄、性别、学校等级和父母的教育背景。所有入组儿童采用韦氏儿童智力量表第四版（WISC-IV）中文版进行智力评估。适应行为得分调查采用儿童适应行为评估第二版（ABAS-II）中文版，由家长完成。学龄期ASD儿童平均智力为76.88±22.62，男性高于女性，且与年龄呈正相关。适应行为评分平均为82.47±15.86，其不随年龄增长而增加，就读于主流学校的ASD儿童具有更好的适应行为。母亲受教育程度与ASD儿童的智商和适应行为显著相关，而父亲受教育程度与之不相关。因此，对家长进行更好的培训和支持有助于ASD儿童进入主流学校，同时适应性训练则是患儿父母更为迫切需要掌握的技能。

Abstract

Intelligence quotient (IQ) and adaptive behavior are the influencing factors of autism spectrum disorder (ASD) in children entering mainstream schools. This study explored the association between parental education level

and adaptive behavior in ASD groups. A total of 257 school-age ASD children were enrolled in our study from January 2017 to June 2021. Their parents completed a standard demographic form

including age at autism diagnosis

gender

school placement

and parents’ educational background. The Chinese version of the Wechsler Intelligence Scale for Children

Fourth Edition (WISC-IV) was completed by a certified assessor for each enrolled child. Parents were interviewed on adaptive behavior using the Chinese version of the Adaptive Behavior Assessment System

Second Edition (ABAS-II). The average IQ of school-age ASD children was 76.88 (standard deviation (SD)=22.62) and boys had higher IQ levels than girls. The IQ was positively correlated with age. The General Adaptive Composite (GAC) score was 82.47 (SD=15.86) and adaptive behavior did not increase with age. ASD children who attended mainstream schools had better adaptive behavior profiles than other children. The mother’s education level showed a significant correlation with the IQ and adaptive behavior of autistic children

while the father’s education level did not. Consequently

better training and support for parents may help autistic children enter mainstream schools

with adaptive training being the most urgently required skill for parents.

关键词

孤独症谱系障碍（ASD）学龄儿童智力（IQ）适应行为父母教育程度

Keywords

Autism spectrum disorder (ASD)School-age childrenIntelligence quotient (IQ)Adaptive behaviorParental education

references

Andrew C, 2012. Special Educational Needs in England, January 2012. Department for Education. http://core.‍kmi.open.ac.uk/display/8823780http://core.‍kmi.open.ac.uk/display/8823780

Battle DE, 2013. Diagnostic and statistical manual of mental disorders (DSM). CoDAS, 25(2):191-192. https://doi.org/10.1590/s2317-17822013000200017https://doi.org/10.1590/s2317-17822013000200017

Chatham CH, Taylor KI, Charman T, et al., 2018. Adaptive behavior in autism: minimal clinically important differences on the Vineland-II. Autism Res, 11(2):270-283. https://doi.org/10.1002/aur.1874https://doi.org/10.1002/aur.1874

Dawson G, Rogers S, Munson J, et al., 2010. Randomized, controlled trial of an intervention for toddlers with autism: the Early Start Denver Model. Pediatrics, 125(1):e17-e23. https://doi.org/10.1542/peds.2009-0958https://doi.org/10.1542/peds.2009-0958

de Jesus Alvarenga Carvalho A, Lemos SMA, de Figueiredo Goulart LMH, 2016. Language development and its relation to social behavior and family and school environments: a systematic review. CoDAS, 28(4):470-479(in Portuguese). https://doi.org/10.1590/2317-1782/20162015193https://doi.org/10.1590/2317-1782/20162015193

Demir-Lira ÖE, Prado J, Booth JR, 2021. Neurocognitive basis of deductive reasoning in children varies with parental education. Hum Brain Mapp, 42(11):3396-3410. https://doi.org/10.1002/hbm.25441https://doi.org/10.1002/hbm.25441

Deng JX, Yan DY, Xu Q, et al., 2020. The intelligence profile of preschool children with autistic spectrum disorders and FSIQ>70: a case-control study. Chin J Evidence Based Pediatr, 15(1):59-62(in Chinese). https://doi.org/10.3969/j.issn.1673-5501.2020.01.014https://doi.org/10.3969/j.issn.1673-5501.2020.01.014

Dillenburger K, Jordan JA, McKerr L, et al., 2017. Autism awareness in children and young people: surveys of two populations. J Intellect Disabil Res, 61(8):766-777. https://doi.org/10.1111/jir.12389https://doi.org/10.1111/jir.12389

Duncan GJ, Magnuson K, 2012. Socioeconomic status and cognitive functioning: moving from correlation to causation. Wiley Interdiscip Rev Cogn Sci, 3(3):377-386. https://doi.org/10.1002/wcs.1176https://doi.org/10.1002/wcs.1176

Elder JH, Kreider CM, Brasher SN, et al., 2017. Clinical impact of early diagnosis of autism on the prognosis and parent-child relationships. Psychol Res Behav Manag, 10:283-292. https://doi.org/10.2147/PRBM.S117499https://doi.org/10.2147/PRBM.S117499

Fombonne E, 2009. Epidemiology of pervasive developmental disorders. Pediatr Res, 65(6):591-598. https://doi.org/10.1203/PDR.0b013e31819e7203https://doi.org/10.1203/PDR.0b013e31819e7203

Haney JL, Houser L, Cullen JA, 2018. Parental perceptions and child emotional and behavioral problems in autism. J Autism Dev Disord, 48(1):12-27. https://doi.org/10.1007/s10803-017-3288-9https://doi.org/10.1007/s10803-017-3288-9

Holwerda A, van der Klink JJL, Groothoff JW, et al., 2012. Predictors for work participation in individuals with an autism spectrum disorder: a systematic review. J Occup Rehabil, 22(3):333-352. https://doi.org/10.1007/s10926-011-9347-8https://doi.org/10.1007/s10926-011-9347-8

Hu XY, Fan WJ, 2016. The educational placement of school-aged children with autism in China. J Educ Stud, 12(6):70-77(in Chinese). https://doi.org/10.14082/j.cnki.1673-1298.2016.06.009https://doi.org/10.14082/j.cnki.1673-1298.2016.06.009

Jia MX, Wang LF, 2010. Intelligent level and social adaptation ability in autism children. Chin Ment Health J, 24(11):845-846(in Chinese). https://doi.org/10.3969/j.issn.1000-6729.2010.11.011https://doi.org/10.3969/j.issn.1000-6729.2010.11.011

Jin BH, Zhou JY, 2018. Social work intervention in the construction of social support system for integrated education of autistic children. J Zhejiang Sci-Tech Univ (Soc Sci), 40(6):628-633(in Chinese). https://doi.org/10.3969/j.issn.1673-3851(s).2018.06.011https://doi.org/10.3969/j.issn.1673-3851(s).2018.06.011

Karst JS, van Hecke AV, 2012. Parent and family impact of autism spectrum disorders: a review and proposed model for intervention evaluation. Clin Child Fam Psychol Rev, 15(3):247-277. https://doi.org/10.1007/s10567-012-0119-6https://doi.org/10.1007/s10567-012-0119-6

Keen D, Webster A, Ridley G, 2016. How well are children with autism spectrum disorder doing academically at school?An overview of the literature. Autism, 20(3):276-294. https://doi.org/10.1177/1362361315580962https://doi.org/10.1177/1362361315580962

Kim SH, Bal VH, Lord C, 2018. Longitudinal follow-up of academic achievement in children with autism from age 2 to 18. J Child Psychol Psychiatry, 59(3):258-267. https://doi.org/10.1111/jcpp.12808https://doi.org/10.1111/jcpp.12808

Kurzrok J, McBride E, Grossman RB, 2021. Autism-specific parenting self-efficacy: an examination of the role of parent-reported intervention involvement, satisfaction with intervention-related training, and caregiver burden. Autism, 25(5):1395-1408. https://doi.org/10.1177/1362361321990931https://doi.org/10.1177/1362361321990931

Lai MC, Anagnostou E, Wiznitzer M, et al., 2020. Evidence-based support for autistic people across the lifespan: maximising potential, minimising barriers, and optimising the person‒environment fit. Lancet Neurol, 19(5):434-451. https://doi.org/10.1016/S1474-4422(20)30034-Xhttps://doi.org/10.1016/S1474-4422(20)30034-X

Lei XM, Kantor J, 2021. Social support and family functioning in Chinese families of children with autism spectrum disorder. Int J Environ Res Public Health, 18(7):3504. https://doi.org/10.3390/ijerph18073504https://doi.org/10.3390/ijerph18073504

Li GZ, Jiang WQ, Du YS, et al., 2017. Intelligence profiles of Chinese school-aged boys with high-functioning ASD and ADHD. Neuropsychiatr Dis Treat, 13:1541-1549. https://doi.org/10.2147/NDT.S136477https://doi.org/10.2147/NDT.S136477

Li YQ, Qiu ZY, 2016. Standardization of adaptive behavior assessment system-II (6‒18 years old) Chinese version. Chin J Rehabil Theory Pract, 22(4):378-382(in Chinese). https://doi.org/10.3969/j.issn.1006-9771.2016.04.002https://doi.org/10.3969/j.issn.1006-9771.2016.04.002

Lin LZ, Dai MX, Xiao QP, et al., 2016. Analysis of intelligence structure and characteristics in children with autism spectrum disorder. Chin J Child Health Care, 24(9):906-909(in Chinese). https://doi.org/10.11852/zgetbjzz2016-24-09-04https://doi.org/10.11852/zgetbjzz2016-24-09-04

Maenner MJ, Shaw KA, Baio J, et al., 2020. Prevalence of autism spectrum disorder among children aged 8 years—‍Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2016. MMWR Surveill Summ, 69(4):1-12. https://doi.org/10.15585/mmwr.ss6904a1https://doi.org/10.15585/mmwr.ss6904a1

Maenner MJ, Shaw KA, Bakian AV, et al., 2021. Prevalence and characteristics of autism spectrum disorder among children aged 8 years‍—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2018. MMWR Surveill Summ, 70(11):1-16. https://doi.org/10.15585/mmwr.ss7011a1https://doi.org/10.15585/mmwr.ss7011a1

McCormick MP, Weissman AK, Weiland C, et al., 2020. Time well spent: home learning activities and gains in children’s academic skills in the prekindergarten year. Dev Psychol, 56(4):710-726. https://doi.org/10.1037/dev0000891https://doi.org/10.1037/dev0000891

McQuaid GA, Pelphrey KA, Bookheimer SY, et al., 2021. The gap between IQ and adaptive functioning in autism spectrum disorder: disentangling diagnostic and sex differences. Autism, 25(6):1565-1579. https://doi.org/10.1177/1362361321995620https://doi.org/10.1177/1362361321995620

Meilleur AA, Jelenic P, Mottron L, 2015. Prevalence of clinically and empirically defined talents and strengths in autism. J Autism Dev Disord, 45(5):1354-1367. https://doi.org/10.1007/s10803-014-2296-2https://doi.org/10.1007/s10803-014-2296-2

Milgramm A, Corona LL, Janicki-Menzie C, et al., 2022. Community-based parent education for caregivers of children newly diagnosed with autism spectrum disorder. J Autism Dev Disord, 52(3):1200-1210. https://doi.org/10.1007/s10803-021-05025-5https://doi.org/10.1007/s10803-021-05025-5

Morsa M, de Andrade V, Alcaraz C, et al., 2022. A scoping review of education and training interventions in Autism Spectrum Disorder. Patient Educ Couns, 105(9):‍2850-2859. https://doi.org/10.1016/j.pec.2022.05.012https://doi.org/10.1016/j.pec.2022.05.012

Naglieri JA, Paolitto AW, 2005. Ipsative comparisons of WISC-IV index scores. Appl Neuropsychol, 12(4):208-211. https://doi.org/10.1207/s15324826an1204_4https://doi.org/10.1207/s15324826an1204_4

Oakland T, 2011. Adaptive Behavior Assessment System—Second Edition. In: Kreutzer JS, DeLuca J, Caplan B (Eds.), Encyclopedia of Clinical Neuropsychology. Springer, New York, p.37-39. https://doi.org/10.1007/978-0-387-79948-3_1506https://doi.org/10.1007/978-0-387-79948-3_1506

Oono IP, Honey EJ, McConachie H, 2013. Parent-mediated early intervention for young children with autism spectrum disorders (ASD). Cochrane Database Syst Rev, 4:CD009774. https://doi.org/10.1002/14651858.CD009774.pub2https://doi.org/10.1002/14651858.CD009774.pub2

Pugliese CE, Anthony L, Strang JF, et al., 2015. Increasing adaptive behavior skill deficits from childhood to adolescence in autism spectrum disorder: role of executive function. J Autism Dev Disord, 45(6):6. https://doi.org/10.1007/s10803-014-2309-1https://doi.org/10.1007/s10803-014-2309-1

Rao PA, Beidel DC, 2009. The impact of children with high-functioning autism on parental stress, sibling adjustment, and family functioning. Behavior Modification, 33(4):1579-1587. https://doi.org/10.1177/0145445509336427https://doi.org/10.1177/0145445509336427

Roman-Urrestarazu A, van Kessel R, Allison C, et al., 2021. Association of race/ethnicity and social disadvantage with autism prevalence in 7 million school children in England. JAMA Pediatr, 175(6):e210054. https://doi.org/10.1001/jamapediatrics.2021.0054https://doi.org/10.1001/jamapediatrics.2021.0054

Rommelse N, Langerak I, van der Meer J, et al., 2015. Intelligence may moderate the cognitive profile of patients with ASD. PLoS ONE, 10(10):e0138698. https://doi.org/10.1371/journal.pone.0138698https://doi.org/10.1371/journal.pone.0138698

Shattuck PT, Narendorf SC, Cooper B, et al., 2012. Postsecondary education and employment among youth with an autism spectrum disorder. Pediatrics, 129(6):1042-1049. https://doi.org/10.1542/peds.2011-2864https://doi.org/10.1542/peds.2011-2864

Snyder TD, Dillow SA, 2012. Digest of Education Statistics 2011 (NCES2012-001). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education, Washington DC.

Sun X, Allison C, Auyeung B, et al., 2013. A review of healthcare service and education provision of Autism Spectrum Condition in mainland China. Res Dev Disabil, 34(1):469-479. https://doi.org/10.1016/j.ridd.2012.08.013https://doi.org/10.1016/j.ridd.2012.08.013

Sun X, Allison C, Wei LP, et al., 2019. Autism prevalence in China is comparable to Western prevalence. Mol Autism, 10:7. https://doi.org/10.1186/s13229-018-0246-0https://doi.org/10.1186/s13229-018-0246-0

Szatmari P, Georgiades S, Duku E, et al., 2015. Developmental trajectories of symptom severity and adaptive functioning in an inception cohort of preschool children with autism spectrum disorder. JAMA Psychiatry, 72(3):276-283. https://doi.org/10.1001/jamapsychiatry.2014.2463https://doi.org/10.1001/jamapsychiatry.2014.2463

Taylor JL, Henninger NA, 2015. Frequency and correlates of service access among youth with autism transitioning to adulthood. J Autism Dev Disord, 45(1):179-191. https://doi.org/10.1007/s10803-014-2203-xhttps://doi.org/10.1007/s10803-014-2203-x

van Kessel R, Hrzic R, Cassidy S, et al., 2021. Inclusive education in the European Union: a fuzzy-set qualitative comparative analysis of education policy for autism. Soc Work Public Health, 36(2):286-299. https://doi.org/10.1080/19371918.2021.1877590https://doi.org/10.1080/19371918.2021.1877590

van Schalkwyk GI, Volkmar FR, 2017. Autism spectrum disorders: challenges and opportunities for transition to adulthood. Child Adolesc Psychiatr Clin N Am, 26(2):329-339. https://doi.org/10.1016/j.chc.2016.12.013https://doi.org/10.1016/j.chc.2016.12.013

Vivanti G, Dissanayake C, the Victorian ASELCC Team, 2016. Outcome for children receiving the Early Start Denver Model before and after 48 months. J Autism Dev Disord, 46(7):2441-2449. https://doi.org/10.1007/s10803-016-2777-6https://doi.org/10.1007/s10803-016-2777-6

Wei YH, Oakland T, Algina J, 2008. Multigroup confirmatory factor analysis for the adaptive behavior assessment system-II parent form, ages 5‒21. Am J Ment Retard, 113(3):178-186. https://doi.org/10.1352/0895-8017(2008)113https://doi.org/10.1352/0895-8017(2008)113[178:MCFAFT]2.0.CO;2

Zhang HC, 2009. The revision of WISC-IV Chinese version. Psychol Sci, 32(5):1177-1179(in Chinese). https://doi.org/10.16719/j.cnki.1671-6981.2009.05.026https://doi.org/10.16719/j.cnki.1671-6981.2009.05.026

Zhang ZZ, Lian FX, He HZ, 2019. A study on peer relationship of children with autism spectrum disorders in the inclusive primary school—a case study of Hangzhou, Zhejiang Province. Chin J Spec Educ, 9:28-34(in Chinese). https://doi.org/10.3969/j.issn.1007-3728.2019.09.006https://doi.org/10.3969/j.issn.1007-3728.2019.09.006

Zhou H, Xu X, Yan WL, et al., 2020. Prevalence of autism spectrum disorder in China: a nationwide multi-center population-based study among children aged 6 to 12 years. Neurosci Bull, 36(9):961-971. https://doi.org/10.1007/s12264-020-00530-6https://doi.org/10.1007/s12264-020-00530-6

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