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Gale-Grant O, Chew A, Falconer S, França LGS, Fenn-Moltu S, Hadaya L, Harper N, Ciarrusta J, Charman T, Murphy D, Arichi T, McAlonan G, Nosarti C, Edwards AD, Batalle D. Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort of toddlers. Sci Rep 2024; 14:8393. [PMID: 38600134 PMCID: PMC11006842 DOI: 10.1038/s41598-024-58907-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/04/2024] [Indexed: 04/12/2024] Open
Abstract
Identifying factors linked to autism traits in the general population may improve our understanding of the mechanisms underlying divergent neurodevelopment. In this study we assess whether factors increasing the likelihood of childhood autism are related to early autistic trait emergence, or if other exposures are more important. We used data from 536 toddlers from London (UK), collected at birth (gestational age at birth, sex, maternal body mass index, age, parental education, parental language, parental history of neurodevelopmental conditions) and at 18 months (parents cohabiting, measures of socio-economic deprivation, measures of maternal parenting style, and a measure of maternal depression). Autism traits were assessed using the Quantitative Checklist for Autism in Toddlers (Q-CHAT) at 18 months. A multivariable model explained 20% of Q-CHAT variance, with four individually significant variables (two measures of parenting style and two measures of socio-economic deprivation). In order to address variable collinearity we used principal component analysis, finding that a component which was positively correlated with Q-CHAT was also correlated to measures of parenting style and socio-economic deprivation. Our results show that parenting style and socio-economic deprivation correlate with the emergence of autism traits at age 18 months as measured with the Q-CHAT in a community sample.
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Affiliation(s)
- Oliver Gale-Grant
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16, De Crespigny Park, London, SE5 8AF, UK.
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
| | - Andrew Chew
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - Shona Falconer
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - Lucas G S França
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16, De Crespigny Park, London, SE5 8AF, UK
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
- Department of Computer and Information Sciences, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, UK
| | - Sunniva Fenn-Moltu
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16, De Crespigny Park, London, SE5 8AF, UK
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - Laila Hadaya
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nicholas Harper
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - Judit Ciarrusta
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16, De Crespigny Park, London, SE5 8AF, UK
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Declan Murphy
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16, De Crespigny Park, London, SE5 8AF, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- Department of Paediatric Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Department of Bioengineering, Imperial College London, London, UK
| | - Grainne McAlonan
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16, De Crespigny Park, London, SE5 8AF, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Chiara Nosarti
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - A David Edwards
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Dafnis Batalle
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16, De Crespigny Park, London, SE5 8AF, UK
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
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Kleine I, Vamvakas G, Lautarescu A, Falconer S, Chew A, Counsell S, Pickles A, Edwards D, Nosarti C. Postnatal maternal depressive symptoms and behavioural outcomes in term-born and preterm-born toddlers: a longitudinal UK community cohort study. BMJ Open 2022; 12:e058540. [PMID: 36581974 PMCID: PMC9438072 DOI: 10.1136/bmjopen-2021-058540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 08/09/2022] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVES To examine the association between maternal depressive symptoms in the immediate postnatal period and offspring's behavioural outcomes in a large cohort of term-born and preterm-born toddlers. DESIGN AND PARTICIPANTS Data were drawn from the Developing Human Connectome Project. Maternal postnatal depressive symptoms were assessed at term-equivalent age, and children's outcomes were evaluated at a median corrected age of 18.4 months (range 17.3-24.3). EXPOSURE AND OUTCOMES Preterm birth was defined as <37 weeks completed gestation. Maternal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS). Toddlers' outcome measures were parent-rated Child Behaviour Checklist 11/2-5 Total (CBCL) and Quantitative Checklist for Autism in Toddlers (Q-CHAT) scores. Toddlers' cognition was assessed with the Bayley Scales of Infant and Toddler Development-Third Edition (Bayley-III). RESULTS Higher maternal EPDS scores were associated with toddlers' higher CBCL (B=0.93, 95% CI 0.43 to 1.44, p<0.001, f2=0.05) and Q-CHAT scores (B=0.27, 95% CI 0.03 to 0.52, p=0.031, f2=0.01). Maternal EPDS, toddlers' CBCL and Q-CHAT scores did not differ between preterm (n=97; 19.1% of the total sample) and term participants. Maternal EPDS score did not disproportionately affect preterm children with respect to CBCL or Q-CHAT scores. CONCLUSIONS Our findings indicate that children whose mothers reported increased depressive symptoms in the early postnatal period, including subclinical symptoms, exhibit more parent-reported behavioural problems in toddlerhood. These associations were independent of gestational age. Further research is needed to confirm the clinical significance of these findings.
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Affiliation(s)
- Ira Kleine
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - George Vamvakas
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alexandra Lautarescu
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
- Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Shona Falconer
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Andrew Chew
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Serena Counsell
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Andrew Pickles
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - David Edwards
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Chiara Nosarti
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Zhao J, Lu Y, Wu X, Zhou F, Fei F, Wu X, Ding X, Wang M. Bibliometric analysis of research themes and trends in childhood autism spectrum disorders from 2012 to 2021. Front Public Health 2022; 10:925475. [PMID: 36117596 PMCID: PMC9470932 DOI: 10.3389/fpubh.2022.925475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 07/29/2022] [Indexed: 01/24/2023] Open
Abstract
Background Autism spectrum disorders (ASD) are heterogeneous neurodevelopmental conditions that affect people worldwide. Early diagnosis and clinical support help achieve good outcomes. However, medical system structure and restricted resource availability create challenges that increase the risk of poor outcomes. Understanding the research progress of childhood ASD in recent years, based on clinical literature reports, can give relevant researchers and rehabilitation therapists more resonable research guides. Objective This bibliometric study aimed to summarize themes and trends in research on childhood ASD and to suggest directions for future enquiry. Methods Citations were downloaded from the Web of Science Core Collection database on childhood ASD published from 1 January 2012, to 31 December 2021. The retrieved information was analyzed using CiteSpace.5.8. R3, and VOS viewer. Results A total of 7,611 papers were published across 103 areas. The United States was the leading source of publications. The clusters that have continued into 2020 include coronavirus disease 2019, gut microbiota, and physical activity, which represent key research topics. Keywords with frequency spikes during 2018-2021 were "disabilities monitoring network," "United States," and "caregiver." Conclusions The Autism and Developmental Disabilities Monitoring Network in the United States can be used as a reference for relevant workers worldwide. An intelligent medical assistant system is being developed. Further studies are required to elucidate challenges associated with caring for a child with ASD.
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Affiliation(s)
- Junqiang Zhao
- Department of Nursing, Xinxiang Medical University, Xinxiang, China
- Department of Medical Engineering, Xinxiang Medical University, Xinxiang, China
| | - Yi Lu
- Department of Nursing, Xinxiang Medical University, Xinxiang, China
| | - Xingyang Wu
- Department of Medical Engineering, Xinxiang Medical University, Xinxiang, China
| | - Fujun Zhou
- Department of Children Rehabilitation, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Fangqin Fei
- Department of Nursing, The First Affiliated Hospital of Huzhou University, Huzhou, China
| | - Xiaoyan Wu
- Department of Nursing, Huzhou Maternal and Child Health Care Hospital, Huzhou, China
| | - Xiufang Ding
- Department of Nursing, Huzhou Maternal and Child Health Care Hospital, Huzhou, China
| | - Minli Wang
- Department of Nursing, The First Affiliated Hospital of Huzhou University, Huzhou, China
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Lautarescu A, Bonthrone AF, Pietsch M, Batalle D, Cordero-Grande L, Tournier JD, Christiaens D, Hajnal JV, Chew A, Falconer S, Nosarti C, Victor S, Craig MC, Edwards AD, Counsell SJ. Maternal depressive symptoms, neonatal white matter, and toddler social-emotional development. Transl Psychiatry 2022; 12:323. [PMID: 35945202 PMCID: PMC9363426 DOI: 10.1038/s41398-022-02073-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/01/2022] [Accepted: 07/18/2022] [Indexed: 11/25/2022] Open
Abstract
Maternal prenatal depression is associated with increased likelihood of neurodevelopmental and psychiatric conditions in offspring. The relationship between maternal depression and offspring outcome may be mediated by in-utero changes in brain development. Recent advances in magnetic resonance imaging (MRI) have enabled in vivo investigations of neonatal brains, minimising the effect of postnatal influences. The aim of this study was to examine associations between maternal prenatal depressive symptoms, infant white matter, and toddler behaviour. 413 mother-infant dyads enrolled in the developing Human Connectome Project. Mothers completed the Edinburgh Postnatal Depression Scale (median = 5, range = 0-28, n = 52 scores ≥ 11). Infants (n = 223 male) (median gestational age at birth = 40 weeks, range 32.14-42.29) underwent MRI (median postmenstrual age at scan = 41.29 weeks, range 36.57-44.71). Fixel-based fibre metrics (mean fibre density, fibre cross-section, and fibre density modulated by cross-section) were calculated from diffusion imaging data in the left and right uncinate fasciculi and cingulum bundle. For n = 311, internalising and externalising behaviour, and social-emotional abilities were reported at a median corrected age of 18 months (range 17-24). Statistical analysis used multiple linear regression and mediation analysis with bootstrapping. Maternal depressive symptoms were positively associated with infant fibre density in the left (B = 0.0005, p = 0.003, q = 0.027) and right (B = 0.0006, p = 0.003, q = 0.027) uncinate fasciculus, with left uncinate fasciculus fibre density, in turn, positively associated with social-emotional abilities in toddlerhood (B = 105.70, p = 0.0007, q = 0.004). In a mediation analysis, higher maternal depressive symptoms predicted toddler social-emotional difficulties (B = 0.342, t(307) = 3.003, p = 0.003), but this relationship was not mediated by fibre density in the left uncinate fasciculus (Sobel test p = 0.143, bootstrapped indirect effect = 0.035, SE = 0.02, 95% CI: [-0.01, 0.08]). There was no evidence of an association between maternal depressive and cingulum fibre properties. These findings suggest that maternal perinatal depressive symptoms are associated with neonatal uncinate fasciculi microstructure, but not fibre bundle size, and toddler behaviour.
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Affiliation(s)
- Alexandra Lautarescu
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK.
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Alexandra F Bonthrone
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Maximilian Pietsch
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Dafnis Batalle
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Madrid, Spain
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - J-Donald Tournier
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Daan Christiaens
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium
| | - Joseph V Hajnal
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Andrew Chew
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Shona Falconer
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Chiara Nosarti
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Suresh Victor
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Neonatal Unit, Evelina London Children's Hospital, London, UK
| | - Michael C Craig
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Female Hormone Clinic, South London and Maudsley National Health Service Foundation Trust, London, UK
| | - A David Edwards
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Neonatal Unit, Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- EPSRC/Wellcome Centre for Medical Engineering, King's College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
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Kang YQ, Teo CM, Tan ML, Aw MM, Chan YH, Chong SC. Feeding difficulties in Asian children with autism spectrum disorder. Pediatr Neonatol 2022; 63:48-56. [PMID: 34538733 DOI: 10.1016/j.pedneo.2021.06.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 06/01/2021] [Accepted: 06/08/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND To characterize the nature and severity of feeding difficulties in Asian young children with Autism Spectrum Disorders (ASD) and identify potential predictors of poorer feeding outcomes. METHODS Cross sectional study of children aged 1-7 years with ASD. Parents completed the following: demographic information, brief autism mealtime behavior inventory, aberrant behavior checklist (ABC), behavioral pediatrics feeding assessment scale (BPFAS) and caregiver feeding style questionnaire. Additional information (medical data, cognitive and developmental assessment results, e.g., Autism Diagnostic Observation Schedule Second Edition, Autism Diagnostic Interview, Revised, Vineland Adaptive Behaviour Scales, etc.) were subsequently obtained from electronic medical records retrospectively by one of the study team members. RESULTS Of the 67 children, 28.4% had feeding difficulties (high BPFAS total frequency score). Caregiver feeding styles were authoritarian (34.8%) or indulgent (39.4%). Child characteristics did not significantly predict for the severity of feeding difficulties. Univariate analysis revealed that authoritarian feeding style (p = 0.001) and ABC hyperactivity score (p = 0.006) were significantly associated with BPFAS severity score. Multivariate analysis revealed that ABC hyperactivity score remained significantly associated with BPFAS severity score after controlling for all other ABC subscale scores. A final regression model including all child characteristics and ABC scores did not reveal any significant predictors of BPFAS total frequency score (R2 = 0.557). CONCLUSION Our findings suggest an association between hyperactivity, authoritarian feeding style and feeding difficulties. Children with ASD who have significant hyperactivity behaviors in the context of parents with an authoritarian feeding style should be actively screened for problematic feeding behaviors.
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Affiliation(s)
- Ying Qi Kang
- Child Development Unit, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Charmaine Min Teo
- Child Development Unit, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Michelle Ln Tan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Paediatric Gastroenterology, Nutrition, Hepatology and Liver Transplantation, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Marion M Aw
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Paediatric Gastroenterology, Nutrition, Hepatology and Liver Transplantation, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University, Singapore
| | - Shang Chee Chong
- Child Development Unit, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Finkelman MD, Wei T, Lowe SR. Computer-Based Testing to Shorten the Social Communication Questionnaire (SCQ): a Proof- of-Principle Study of the Lifetime and Current Forms. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2021. [DOI: 10.1007/s10862-020-09853-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Joseph J, Hooda K, Chauhan I, Dhull K. The Caregiver Reported Autistic Symptoms in Preschool Children: Findings of Chandigarh Autism Screening Instrument (CASI) Linked Screening from North India. J Neurosci Rural Pract 2021; 12:200-203. [PMID: 33531784 PMCID: PMC7846320 DOI: 10.1055/s-0040-1721167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
Background Autism is a neurodevelopmental disorder and can be early detected with the aid of screening tools. Chandigarh autism screening instrument (CASI) is a newly developed tool to screen autistic symptoms among children aged between 1.5 to 10 years in the north Indian Hindi speaking population. Objective In this study, we evaluated the caregiver report of autistic symptoms in preschool children (3-6 years) attending selected schools of Rohtak. Materials and Methods The index study was conducted among 225 caregivers of school-going children aged between 3 to 6 years. Social and communication disorders checklist (SCDC-Hindi) and CASI was used to measure autistic symptoms. The modified Kuppuswamy scale was used for assessing the socioeconomic status of the caregivers. Results The autistic symptoms varied from 2.2 to 18.7%, depending upon the CASI (cutoff score of 10) and SCDC (cutoff score of 9) measurements. The items in the shorter four-item version (CASI Bref) of CASI were found to be the predictors of autistic symptoms in this population. Children's gender, age, and socioeconomic status were not found to have any association with autistic symptoms in this setting. Conclusion The study provides preliminary evidence in relation to the CASI-linked screening for autistic symptoms among preschool children. The shorter version of CASI (CASI Bref) can be an efficient quick screener for autistic traits, but the full version of CASI needs to be validated as per age-appropriate autism screening tools.
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Affiliation(s)
- Jaison Joseph
- College of Nursing, Pt. B. D. Sharma University of Health Sciences, Rohtak, India
| | - Komal Hooda
- College of Nursing, Pt. B. D. Sharma University of Health Sciences, Rohtak, India
| | - Indu Chauhan
- College of Nursing, Pt. B. D. Sharma University of Health Sciences, Rohtak, India
| | - Komal Dhull
- College of Nursing, Pt. B. D. Sharma University of Health Sciences, Rohtak, India
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