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Denisova K. Neurobiology of cognitive abilities in early childhood autism. JCPP ADVANCES 2024; 4:e12214. [PMID: 38827984 PMCID: PMC11143961 DOI: 10.1002/jcv2.12214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 11/12/2023] [Indexed: 06/05/2024] Open
Abstract
This perspective considers complexities in the relationship between impaired cognitive abilities and autism from a maturational, developmental perspective, and aims to serve as a helpful guide for the complex and growing investigation of cognitive abilities and Autism Spectrum Disorder (ASD). Low Intelligence Quotient (IQ) and ASD are frequently co-occurring. About 37% of 8-year old children and 48% of 4-year old children diagnosed with ASD also have Intellectual Disability, with IQ below 70. And, low IQ in early infancy, including below 1 year of age, carries a 40% greater chance of receiving ASD diagnosis in early childhood. We consider the evidence that may explain this co-occurrence, including the possibility that high IQ may "rescue" the social communication issues, as well as the possible role of critical periods during growth and development. We consider how early low IQ may subsume a part of a subgroup of individuals with ASD, in particular, those diagnosed with autism in very early childhood, and we provide neurobiological evidence in support of this subtype. Moreover, we distinguish the concept of early low IQ from the delay in speech onset in preschool and school-aged children, based on (i) age and (ii) impairments in both verbal and non-verbal domains. The etiology of these early-diagnosed, early low IQ ASD cases is different from later-diagnosed, average or higher-IQ cases, and from children with speech delay onset. Given recent interest in formulating new subtypes of autism, rather than continuing to conceive of ASD as a spectrum, as well as new subtypes that vary in the degree of severity along the spectrum, we identify gaps in knowledge and directions for future work in this complex and growing area.
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Affiliation(s)
- Kristina Denisova
- Division of Math and Natural SciencesDepartment of PsychologyAutism Origins LabCity University of New YorkQueens College and Graduate CenterQueensNew YorkUSA
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Salter J, Blainey S. The effectiveness of interventions for offending behaviours in adults with autism spectrum disorders (ASD): a systematic PRISMA review. BMC Psychol 2024; 12:316. [PMID: 38816780 PMCID: PMC11140896 DOI: 10.1186/s40359-024-01770-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/07/2024] [Indexed: 06/01/2024] Open
Abstract
Previous research has suggested that the core features of autism spectrum disorders (ASD) may contribute to offending behaviours and increased vulnerability within the Criminal Justice System. To date, there is a paucity of evidence assessing the effectiveness of interventions for offending behaviour in adults with ASD but without co-occurring intellectual disability (ID) across a broad range of forensic settings. The lack of robust evidence is concerning, as limited effectiveness may contribute to an increased likelihood of prolonged incarceration, particularly in the most restrictive settings. A PRISMA systematic review was conducted with a narrative synthesis to: (a) evaluate the evidence of the effectiveness of interventions aimed at reducing recidivism, (b) assess whether the core features of ASD impact the effectiveness of these interventions, and (c) identify additional factors that may affect the effectiveness of interventions within this population. Seven studies involving ten male participants were identified. The findings suggest that interventions for offending behaviours in adults with ASD without intellectual disability (ID) are largely inadequate, and that core ASD features need to be considered. Additionally, a complex interplay of risk factors potentially impacting intervention effectiveness was suggested. Limitations include heterogeneity across intervention types, measures of effectiveness, and what constitutes effectiveness. Despite the limited number of studies and data quality, the review aligns with a growing body of literature highlighting vulnerability and a need for evidence-based interventions for people with ASD. The review also discusses the broader implications of ineffective interventions.
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Affiliation(s)
- Jody Salter
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- School of Health and Society, University of Salford, Greater Manchester, UK.
| | - Sarah Blainey
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Central and North West London NHS Foundation Trust, London, UK
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3
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Adams SN. The Unmasking of Autism in South Africa and Nigeria. Neuropsychiatr Dis Treat 2024; 20:947-955. [PMID: 38737770 PMCID: PMC11088825 DOI: 10.2147/ndt.s461650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/02/2024] [Indexed: 05/14/2024] Open
Abstract
This review is of interest to researchers, policymakers, and healthcare professionals working in the field of autism in Africa. The review aims to describe autism in sub-Saharan Africa, focusing on South Africa and Nigeria regarding prevalence, incidence, identification, treatment, and attitudes towards autistic children. There are several challenges, such as lack of awareness, limited access to professional support and diagnostic tools, and cultural considerations in establishing the autism prevalence in the African region compared to other parts of the world. Additionally, South Africans and Nigerians exhibit diverse perspectives and attitudes that significantly influence the provision of treatment, including stigma and misconceptions held by healthcare professionals themselves. As a result, it is difficult to determine prevalence in South Africa and Nigeria. However, research has indicated that autism prevalence is rising globally, and in these contexts. Rising prevalence highlights the need to increase access to services, rehabilitation, and provide support to families of children with autism. Furthermore, research has emphasized the inequitable support and access available to families living in low-and high-income households and the need to provide contextually relevant and responsive interventions, education and training, research and policy in these countries.
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Affiliation(s)
- Skye Nandi Adams
- Department of Speech Pathology and Audiology, School of Human and Community Development, University of the Witwatersrand, Johannesburg, South Africa
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Alasmari M, Alduais A, Qasem F, Almaghlouth S, AlAmri L. Examining Language, Speech and Behaviour Characteristics: A Cross-Sectional Study in Saudi Arabia Using the Arabic Version of Gilliam Autism Rating Scale-Third Edition. CHILDREN (BASEL, SWITZERLAND) 2024; 11:472. [PMID: 38671690 PMCID: PMC11049596 DOI: 10.3390/children11040472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024]
Abstract
Autism spectrum disorder (ASD) exhibits diverse manifestations influenced by demographic factors. This study evaluates these variations within Saudi Arabia, aiming to investigate language, speech and behaviour characteristics across different demographics in Saudi Arabia using the Arabic Version of the Gilliam Autism Rating Scale-Third Edition (A-GARS-3). Employing a cross-sectional design, 178 participants were stratified by developmental status (n = 124 school settings, n = 54 clinical setting), sex (Females = 77, Males =101), age (range = 3-22), and geographical region (different provinces in Saudi Arabia). The A-GARS-3 measured ASD manifestations across six subscales. The study identified significant differences in ASD manifestations by developmental status, with higher ASD likelihood and severity in clinical settings. Younger children showed more pronounced ASD characteristics, and males were slightly more likely to be diagnosed with ASD. Geographical analysis revealed regional differences in severity. The findings underline the importance of demographic considerations in ASD assessment and diagnosis, suggesting the need for age-specific and culturally sensitive approaches. The A-GARS-3 is a reliable tool for the Saudi context. Regional disparities in ASD prevalence and severity indicate a need for tailored health policies and resources across Saudi provinces.
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Affiliation(s)
- Muhammad Alasmari
- Department of English Language and Literature, College of Arts of Letters, University of Bisha, Bisha 67714, Saudi Arabia; (M.A.); (F.Q.)
| | - Ahmed Alduais
- Department of Human Sciences (Psychology), University of Verona, 37129 Verona, Italy
| | - Fawaz Qasem
- Department of English Language and Literature, College of Arts of Letters, University of Bisha, Bisha 67714, Saudi Arabia; (M.A.); (F.Q.)
| | - Shrouq Almaghlouth
- Department of English Language and Translation, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh 11673, Saudi Arabia;
| | - Lujain AlAmri
- Speech Pathology Division, Jeddah Institute for Speech and Hearing and Medical Rehabilitation, Jeddah 21471, Saudi Arabia;
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Hrdlicka M, Urbanek T, Rotreklova A, Kultova A, Valek O, Dudova I. Predictors of age at diagnosis in autism spectrum disorders: the use of multiple regression analyses and a classification tree on a clinical sample. Eur Child Adolesc Psychiatry 2024; 33:1171-1177. [PMID: 36933152 PMCID: PMC10024300 DOI: 10.1007/s00787-023-02189-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 03/08/2023] [Indexed: 03/19/2023]
Abstract
The increasing prevalence of autism spectrum disorders (ASD) has led to worldwide interest in factors influencing the age of ASD diagnosis. Parents or caregivers of 237 ASD children (193 boys, 44 girls) diagnosed using the Autism Diagnostic Observation Schedule (ADOS) completed a simple descriptive questionnaire. The data were analyzed using the variable-centered multiple regression analysis and the person-centered classification tree method. We believed that the concurrent use of these two methods could produce robust results. The mean age at diagnosis was 5.8 ± 2.2 years (median 5.3 years). Younger ages for ASD diagnosis were predicted (using multiple regression analysis) by higher scores in the ADOS social domain, higher scores in ADOS restrictive and repetitive behaviors and interest domain, higher maternal education, and the shared household of parents. Using the classification tree method, the subgroup with the lowest mean age at diagnosis were children, in whom the summation of ADOS communication and social domain scores was ≥ 17, and paternal age at the delivery was ≥ 29 years. In contrast, the subgroup with the oldest mean age at diagnosis included children with summed ADOS communication and social domain scores < 17 and maternal education at the elementary school level. The severity of autism and maternal education played a significant role in both types of data analysis focused on age at diagnosis.
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Affiliation(s)
- Michal Hrdlicka
- Department of Child Psychiatry, Second Faculty of Medicine, Charles University, University Hospital Motol, V Uvalu 84, 15006, Prague, Czech Republic.
- Institute of Psychology, Faculty of Arts, Masaryk University, Brno, Czech Republic.
| | - Tomas Urbanek
- Institute of Psychology, Academy of Sciences, Brno, Czech Republic
| | - Adela Rotreklova
- Department of Child Psychiatry, Second Faculty of Medicine, Charles University, University Hospital Motol, V Uvalu 84, 15006, Prague, Czech Republic
| | - Aneta Kultova
- Military University Hospital, Prague, Czech Republic
| | - Ondrej Valek
- Military University Hospital, Prague, Czech Republic
| | - Iva Dudova
- Department of Child Psychiatry, Second Faculty of Medicine, Charles University, University Hospital Motol, V Uvalu 84, 15006, Prague, Czech Republic
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Calisan Kinter R, Ozbaran B, Inal Kaleli I, Kose S, Bildik T, Ghaziuddin M. The Sensory Profiles, Eating Behaviors, and Quality of Life of Children with Autism Spectrum Disorder and Avoidant/Restrictive Food Intake Disorder. Psychiatr Q 2024; 95:85-106. [PMID: 38085408 DOI: 10.1007/s11126-023-10063-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2023] [Indexed: 02/29/2024]
Abstract
Eating disorders frequently accompany autism spectrum disorder (ASD). One such novel eating disorder is avoidant/restrictive food intake disorder (ARFID). This study compares the eating attitudes, quality of life, and sensory processing of typically developing children (TDC), autistic children, and autistic children with ARFID. A total of 111 children aged 4-10 with a diagnosis of ASD and ARFID (n = 37), ASD without ARFID (n = 37), and typical development (n = 37) were recruited. After an interview in which Childhood Autism Rating Scale (CARS) was administered, Child Eating Behavior Questionnaire (CEBQ), Pediatric Quality of Life Inventory (PedsQL), Social Responsiveness Scale (SRS) and Sensory Profile (SP) were completed by caregivers. Autistic children with ARFID had higher scores in CEBQ subscales relating to low appetite and lower scores on the subscales associated with weight gain. Both groups of autistic children scored lower than TDC on all PedsQL subscales and autistic children with ARFID had lower social QL scores than both groups. SRS scores were highest in autistic children with ARFID, followed by autistic and typically developing children. CARS scores were similar in both groups of autistic children, but higher than TDC. Auditory, vision, touch, multi-sensory, oral processing scores; as well as all quadrant scores, were significantly lower in autistic children with ARFID. Oral sensory processing scores were found to be the most significant predictor of ARFID comorbidity in ASD and reliably predicted ARFID in autistic children in the clinical setting. Autistic children with ARFID demonstrate differences in social functioning, sensory processing, eating attitudes, and quality of life compared to autistic and TD children.
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Affiliation(s)
- Reyhan Calisan Kinter
- Department of Child and Adolescent Psychiatry, Faculty of Medicine Children's Hospital, Ege University, Kazimdirik Mh. Ankara Cd, Izmir, 35030, Turkey
| | - Burcu Ozbaran
- Department of Child and Adolescent Psychiatry, Faculty of Medicine Children's Hospital, Ege University, Kazimdirik Mh. Ankara Cd, Izmir, 35030, Turkey
| | - Ipek Inal Kaleli
- Department of Child and Adolescent Psychiatry, Faculty of Medicine Children's Hospital, Ege University, Kazimdirik Mh. Ankara Cd, Izmir, 35030, Turkey.
| | - Sezen Kose
- Department of Child and Adolescent Psychiatry, Faculty of Medicine Children's Hospital, Ege University, Kazimdirik Mh. Ankara Cd, Izmir, 35030, Turkey
| | - Tezan Bildik
- Department of Child and Adolescent Psychiatry, Faculty of Medicine Children's Hospital, Ege University, Kazimdirik Mh. Ankara Cd, Izmir, 35030, Turkey
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Yu X, Rahman MM, Carter SA, Lin JC, Chow T, Lurmann FW, Chen JC, Martinez MP, Schwartz J, Eckel SP, Chen Z, McConnell R, Xiang AH, Hackman DA. Neighborhood Disadvantage and Autism Spectrum Disorder in a Population With Health Insurance. JAMA Psychiatry 2024; 81:209-213. [PMID: 37966844 PMCID: PMC10652217 DOI: 10.1001/jamapsychiatry.2023.4347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/05/2023] [Indexed: 11/16/2023]
Abstract
Importance Family socioeconomic status has been associated with autism spectrum disorder (ASD) diagnoses. Less is known regarding the role of neighborhood disadvantage in the United States, particularly when children have similar access to health insurance. Objective To evaluate the association between neighborhood disadvantage and the diagnosis of ASD and potential effect modification by maternal and child demographic characteristics. Design, Setting, and Participants This cohort study examined a retrospective birth cohort from Kaiser Permanente Southern California (KPSC), an integrated health care system. Children born in 2001 to 2014 at KPSC were followed up through KPSC membership records. Electronic medical records were used to obtain an ASD diagnosis up to December 31, 2019, or the last follow-up. Data were analyzed from February 2022 to September 2023. Exposure Socioeconomic disadvantage at the neighborhood level, an index derived from 7 US census tract characteristics using principal component analysis. Main Outcomes and Measures Clinical ASD diagnosis based on electronic medical records. Associations between neighborhood disadvantage and ASD diagnosis were determined by hazard ratios (HRs) from Cox regression models adjusted for birth year, child sex, maternal age at delivery, parity, severe prepregnancy health conditions, maternal race and ethnicity, and maternal education. Effect modification by maternal race and ethnicity, maternal education, and child sex was assessed. Results Among 318 372 mothers with singleton deliveries during the study period, 6357 children had ASD diagnoses during follow-up; their median age at diagnosis was 3.53 years (IQR, 2.57-5.34 years). Neighborhood disadvantage was associated with a higher likelihood of ASD diagnosis (HR, 1.07; 95% CI, 1.02-1.11, per IQR = 2.70 increase). Children of mothers from minoritized racial and ethnic groups (African American or Black, Asian or Pacific Islander, Hispanic or Latinx groups) had increased likelihood of ASD diagnosis compared with children of White mothers. There was an interaction between maternal race and ethnicity and neighborhood disadvantage (difference in log-likelihood = 21.88; P < .001 for interaction under χ24); neighborhood disadvantage was only associated with ASD among children of White mothers (HR, 1.17; 95% CI, 1.09-1.26, per IQR = 2.00 increase). Maternal education and child sex did not significantly modify the neighborhood-ASD association. Conclusions and Relevance In this study, children residing in more disadvantaged neighborhoods at birth had higher likelihood of ASD diagnosis among a population with health insurance. Future research is warranted to investigate the mechanisms behind the neighborhood-related disparities in ASD diagnosis, alongside efforts to provide resources for early intervention and family support in communities with a higher likelihood of ASD.
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Affiliation(s)
- Xin Yu
- Spatial Science Institute, University of Southern California, Los Angeles
| | - Md Mostafijur Rahman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
- Department of Environmental Health Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Sarah A. Carter
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Jane C. Lin
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Ting Chow
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | | | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Mayra P. Martinez
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Anny H. Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Daniel A. Hackman
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles
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Gore K, Gilbert M, Hawke M, Barbaro J. Investigating autism knowledge, self-efficacy, and confidence following maternal and child health nurse training for the early identification of autism. Front Neurol 2024; 14:1201292. [PMID: 38264089 PMCID: PMC10803615 DOI: 10.3389/fneur.2023.1201292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 11/17/2023] [Indexed: 01/25/2024] Open
Abstract
Introduction Early identification of children with a high likelihood of autism can lead to referral for diagnostic services and access to early supports, resulting in improved outcomes for children and families. Maternal and Child Health Nurses (MCHNs) in Victoria, Australia, are well-placed to monitor infants and toddlers for signs of autism, given children and caregivers attend free, regular, well-baby consultations from birth through to school age. This study aimed to identify the impact of personal and workplace factors on MCHNs' competencies of autism knowledge, self-efficacy in identifying autistic infants and toddlers, and confidence in speaking to parents/caregivers about autism. Additionally, the study sought to identify which personal and workplace factors might predict increased competency in these areas. Methods After identifying training needs and current competency levels via a training needs analysis (TNA), 1,428 MCHNs received training on the early signs of autism and in the use of the Social Attention and Communication Surveillance-Revised (SACS-R) tool for early autism identification; the training program was known as Monitoring of Social Attention, Interaction, and Communication (MoSAIC). Results Previous MCHN autism training and knowledge of autism community resources significantly contributed to increased MCHN self-efficacy in identifying autistic infants and toddlers, while knowledge of community resources was the best predictor of confidence in speaking with parents/caregivers about autism. Perceived self-efficacy and confidence in speaking with parents/caregivers about autism significantly increased following the MoSAIC autism training. Discussion Targeted autism training for primary health practitioners is an important first step for early autism identification and initiating conversations with parents/caregivers.
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Affiliation(s)
- Katherine Gore
- Olga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Bundoora, VIC, Australia
| | | | | | - Josephine Barbaro
- Olga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Bundoora, VIC, Australia
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Akhter S, Shefa J, Quader MA, Talukder K, Hussain AE, Kundu GK, Fatema K, Alam ST, Islam KA, Rahman MS, Rahman MM, Hasan Z, Mannan M. Autism spectrum disorder among 16- to 30-month-old children in Bangladesh: Observational cross-sectional study. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:138-148. [PMID: 36373750 DOI: 10.1177/13623613221135297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
LAY ABSTRACT A nationwide survey was done in Bangladesh to assess autism spectrum disorder prevalence in 16- to 30-month-old children at urban-rural distribution and to determine the association with socioeconomic and demographic conditions. A three-stage cluster sampling method was used where districts from all divisions were selected in the first stage, census enumeration areas as blocks of households were selected in the second stage and households (within the blocks) were selected in the third stage. Thereby, it included 38,440 children from 37,982 households (71% rural, 29% urban) aged 16-30 months from 30 districts of eight divisions of Bangladesh. Screening was done with a 'Red Flag' tool and Modified Checklist for Toddlers and a final diagnosis using Diagnostic and Statistical Manual of Mental Disorders, 5th Edition for autism spectrum disorder. Autism spectrum disorder prevalence was 17 per 10,000 young children - in other words, one in 589 young children. Boys were found at higher risk of autism (one in 423 boys; one in 1026 girls). Prevalence of autism spectrum disorder was higher in urban environments than in rural ones - 25/10,000 and 14/10,000, respectively. More autism spectrum disorder children were found in advanced age groups of parents, especially mothers, and in households with a higher wealth quintile. This survey is significant as it covers both urban and rural areas and specifically targets very young children. The involvement of the Bangladesh Bureau of Statistics, as well as support from the entire healthcare system infrastructure, makes this survey more representative on a national level. Its results will form a database to support the development of an effective early intervention programme in Bangladesh. We hope it will prove useful for researchers, clinicians and frontline healthcare workers, and inform the decisions of policymakers and funders in Bangladesh.
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Affiliation(s)
- Shaheen Akhter
- Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh
| | - Jannatara Shefa
- Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh
| | - Mohammad Abdul Quader
- Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh
- University of Birmingham, UK
- University of Dhaka, Bangladesh
| | | | | | | | - Kanij Fatema
- Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh
| | | | | | | | | | - Ziaul Hasan
- A House of Survey Research (SURCH), Bangladesh
| | - Muzharul Mannan
- Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh
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Kokaua J, Kolose-Pulefolau B, Ruhe T, Aldridge F, Foliaki S, Kokaua L, Mapusua T, Dacombe J, Richards R, Blakelock R, Bowden N. Is parent education a factor in identifying autism/takiwātanga in an ethnic cohort of Pacific children in Aotearoa, New Zealand? A national cross-sectional study using linked administrative data. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2023:13623613231217800. [PMID: 38153045 DOI: 10.1177/13623613231217800] [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: 12/29/2023]
Abstract
LAY ABSTRACT Previous studies of autism in Aotearoa, New Zealand, suggest that fewer Pacific children receive an autism diagnosis compared to European children. This study aimed to explore if formal education qualification of parents is related to receiving an autism diagnosis for their Pacific child. Our findings show that autism was identified in 1.1% of Pacific children compared with 1.6% among non-Māori, non-Pacific children. Parents with higher levels of education were more likely to receive an autism diagnosis for their Pacific child. While the study findings indicate education plays a positive role in receiving a diagnosis for autistic children, they suggest a systemic failure of supporting Pacific parents and communities to navigate the health and education systems that exist in Aotearoa, New Zealand.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Nicholas Bowden
- University of Otago, New Zealand
- Te Whatu Ora Canterbury Rohe, New Zealand
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11
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L West K, E Steward S, Roemer Britsch E, M Iverson J. Infant Communication Across the Transition to Walking: Developmental Cascades Among Infant Siblings of Children with Autism. J Autism Dev Disord 2023:10.1007/s10803-023-06030-6. [PMID: 37906320 DOI: 10.1007/s10803-023-06030-6] [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: 11/02/2023]
Abstract
New motor skills can shape how infants communicate with their caregivers. For example, learning to walk allows infants to move faster and farther than they previously could, in turn allowing them to approach their caregivers more frequently to gesture or vocalize. Does the link between walking and communication differ for infants later diagnosed with autism spectrum disorder (ASD), whose communicative and motor development differs from their neurotypically developing peers? We prospectively followed two groups of infants longitudinally during the transition from crawling to walking: (1) N = 25 infants with no family history of ASD; and (2) N = 91 infants with an older sibling with ASD. Fifteen infants were later diagnosed with ASD, and 26 infants showed a language delay (but did not receive an ASD diagnosis). After learning to walk, infants without ASD or language delay showed considerable changes in their communication: They gestured more frequently, and increasingly coordinated their gestures and vocalizations with locomotion (e.g., by approaching a caregiver and showing a toy). Infants with language delay showed similar but attenuated growth in their communication. However, infants later diagnosed with ASD did not display enhanced communication after they began to walk.
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Affiliation(s)
- Kelsey L West
- Department of Psychology, Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, USA.
- Department of Psychology, New York University, 4 Washington Place, Room 406, New York, NY, 10003, USA.
| | - Sarah E Steward
- Department of Psychology, University of Pittsburgh, Pittsburgh, USA
| | | | - Jana M Iverson
- Department of Psychology, University of Pittsburgh, Pittsburgh, USA
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12
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László K, Vörös D, Correia P, Fazekas CL, Török B, Plangár I, Zelena D. Vasopressin as Possible Treatment Option in Autism Spectrum Disorder. Biomedicines 2023; 11:2603. [PMID: 37892977 PMCID: PMC10603886 DOI: 10.3390/biomedicines11102603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/13/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
Autism spectrum disorder (ASD) is rather common, presenting with prevalent early problems in social communication and accompanied by repetitive behavior. As vasopressin was implicated not only in salt-water homeostasis and stress-axis regulation, but also in social behavior, its role in the development of ASD might be suggested. In this review, we summarized a wide range of problems associated with ASD to which vasopressin might contribute, from social skills to communication, motor function problems, autonomous nervous system alterations as well as sleep disturbances, and altered sensory information processing. Beside functional connections between vasopressin and ASD, we draw attention to the anatomical background, highlighting several brain areas, including the paraventricular nucleus of the hypothalamus, medial preoptic area, lateral septum, bed nucleus of stria terminalis, amygdala, hippocampus, olfactory bulb and even the cerebellum, either producing vasopressin or containing vasopressinergic receptors (presumably V1a). Sex differences in the vasopressinergic system might underline the male prevalence of ASD. Moreover, vasopressin might contribute to the effectiveness of available off-label therapies as well as serve as a possible target for intervention. In this sense, vasopressin, but paradoxically also V1a receptor antagonist, were found to be effective in some clinical trials. We concluded that although vasopressin might be an effective candidate for ASD treatment, we might assume that only a subgroup (e.g., with stress-axis disturbances), a certain sex (most probably males) and a certain brain area (targeting by means of virus vectors) would benefit from this therapy.
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Affiliation(s)
- Kristóf László
- Institute of Physiology, Medical School, University of Pécs, 7624 Pecs, Hungary; (K.L.); (D.V.); (P.C.); (C.L.F.); (B.T.); (I.P.)
- Center of Neuroscience, University of Pécs, 7624 Pecs, Hungary
- Szentágothai Research Center, University of Pécs, 7624 Pecs, Hungary
| | - Dávid Vörös
- Institute of Physiology, Medical School, University of Pécs, 7624 Pecs, Hungary; (K.L.); (D.V.); (P.C.); (C.L.F.); (B.T.); (I.P.)
- Center of Neuroscience, University of Pécs, 7624 Pecs, Hungary
- Szentágothai Research Center, University of Pécs, 7624 Pecs, Hungary
| | - Pedro Correia
- Institute of Physiology, Medical School, University of Pécs, 7624 Pecs, Hungary; (K.L.); (D.V.); (P.C.); (C.L.F.); (B.T.); (I.P.)
- Center of Neuroscience, University of Pécs, 7624 Pecs, Hungary
- Szentágothai Research Center, University of Pécs, 7624 Pecs, Hungary
- Hungarian Research Network, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - Csilla Lea Fazekas
- Institute of Physiology, Medical School, University of Pécs, 7624 Pecs, Hungary; (K.L.); (D.V.); (P.C.); (C.L.F.); (B.T.); (I.P.)
- Center of Neuroscience, University of Pécs, 7624 Pecs, Hungary
- Szentágothai Research Center, University of Pécs, 7624 Pecs, Hungary
- Hungarian Research Network, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - Bibiána Török
- Institute of Physiology, Medical School, University of Pécs, 7624 Pecs, Hungary; (K.L.); (D.V.); (P.C.); (C.L.F.); (B.T.); (I.P.)
- Center of Neuroscience, University of Pécs, 7624 Pecs, Hungary
- Szentágothai Research Center, University of Pécs, 7624 Pecs, Hungary
- Hungarian Research Network, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - Imola Plangár
- Institute of Physiology, Medical School, University of Pécs, 7624 Pecs, Hungary; (K.L.); (D.V.); (P.C.); (C.L.F.); (B.T.); (I.P.)
- Center of Neuroscience, University of Pécs, 7624 Pecs, Hungary
- Szentágothai Research Center, University of Pécs, 7624 Pecs, Hungary
| | - Dóra Zelena
- Institute of Physiology, Medical School, University of Pécs, 7624 Pecs, Hungary; (K.L.); (D.V.); (P.C.); (C.L.F.); (B.T.); (I.P.)
- Center of Neuroscience, University of Pécs, 7624 Pecs, Hungary
- Szentágothai Research Center, University of Pécs, 7624 Pecs, Hungary
- Hungarian Research Network, Institute of Experimental Medicine, 1083 Budapest, Hungary
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13
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Miller HL, Thomi M, Patterson RM, Nandy K. Effects of Intersectionality Along the Pathway to Diagnosis for Autistic Children With and Without Co-occurring Attention Deficit Hyperactivity Disorder in a Nationally-Representative Sample. J Autism Dev Disord 2023; 53:3542-3557. [PMID: 35749001 PMCID: PMC9789199 DOI: 10.1007/s10803-022-05604-0] [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] [Accepted: 05/04/2022] [Indexed: 12/26/2022]
Abstract
Children with complex behavioral profiles (e.g., ASD + ADHD) may experience delays in obtaining a final diagnosis. Low-resource or underrepresented groups may be at even greater risk for delayed diagnosis. We assessed the effect of sociodemographic factors, symptom complexity and co-occurring conditions, and identifier of first symptoms on diagnostic trajectories among children aged 3-17 years diagnosed with ASD (n = 52) or ASD + ADHD (n = 352) from a nationally-representative sample. Race/ethnicity and gender disparities were evident in both groups. Race, symptom complexity, and co-occuring conditions predicted age of final diagnosis and wait time between first concern and final diagnosis, both of which were staggeringly high. Results suggest a complex influence of sociodemographic factors on the diagnostic pathway, and risk of health disparities as a function of intersectionality.
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Affiliation(s)
- Haylie L Miller
- School of Kinesiology, University of Michigan, 830 N. University Ave., SKB 4120, Ann Arbor, MI, 48109, USA.
- Department of Physical Therapy, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX, 76107, USA.
| | - Morgan Thomi
- Graduate School of Biomedical Sciences, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX, 76107, USA
| | - Rita M Patterson
- Department of Osteopathic Manipulative Medicine/Family Medicine, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX, 76107, USA
| | - Karabi Nandy
- Department of Biostatistics & Epidemiology, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX, 76107, USA
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA
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14
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Zahorodny W, Shenouda J, Sidwell K, Verile MG, Alvarez CC, Fusco A, Mars A, Waale M, Gleeson T, Burack G, Zumoff P. Prevalence and Characteristics of Adolescents with Autism Spectrum Disorder in the New York-New Jersey Metropolitan Area. J Autism Dev Disord 2023:10.1007/s10803-023-06058-8. [PMID: 37642865 DOI: 10.1007/s10803-023-06058-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2023] [Indexed: 08/31/2023]
Abstract
PURPOSE Almost all epidemiologic studies estimating autism spectrum disorder (ASD) prevalence have focused on school-age children. This study provides the first population-based data on the prevalence and expression of ASD among adolescents in a large US metropolitan region. METHODS Active multiple source ASD surveillance of adolescents aged 16-years was conducted according to the Autism and Developmental Disabilities Monitoring (ADDM) Network method in a four-county New Jersey metropolitan region. Prevalence estimates are provided, characteristics are described and comparison of the distribution and characteristics of ASD is offered for this cohort, at 8 and 16-years. RESULTS ASD prevalence was 17.7 per 1000 (95% CI: 16.3-19.2)]. One-in-55 males and one in 172 females were identified with ASD. High-SES was positively associated with ASD and White adolescents had higher ASD prevalence (22.2 per 1000) than Hispanic adolescents (13.1 per 1000). One in four study-confirmed individuals with ASD did not have an ASD diagnosis. A majority of ASD adolescents (58.8%) had a co-occurring neuropsychiatric disorder. White and High-SES individuals had greater likelihood of co-occurring disorder. The demographic distribution and functional profile of ASD was similar in this cohort at 8 and 16-years. CONCLUSION Approximately one-in-55 adolescents in our area had ASD, in 2014, and one-in-4 16-year-olds with ASD was not diagnosed. A majority (3-in-5) of the adolescents with ASD had a co-occurring neuropsychiatric disorder. ASD under-identification and the high frequency of co-disorders in adolescents with ASD pose significant challenges to care and support.
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Affiliation(s)
- Walter Zahorodny
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA.
| | - Josephine Shenouda
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA
- Rutgers University - School of Public Health, Piscataway, NJ, USA
| | - Kate Sidwell
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA
| | - Michael G Verile
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA
| | - Cindy Cruz Alvarez
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA
| | - Arline Fusco
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA
| | | | - Mildred Waale
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA
| | - Tara Gleeson
- Atlantic Health System, Goryeb Children's Hospital, Morristown, NJ, USA
| | - Gail Burack
- Rutgers University - Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Paul Zumoff
- Rutgers University - New Jersey Medical School, 185 South Orange Ave, F-511, Newark, NJ, 07103, USA
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15
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Patrick ME, Hughes MM, Ali A, Shaw KA, Maenner MJ. Social vulnerability and prevalence of Autism Spectrum Disorder, Metropolitan Atlanta Developmental Disabilities Surveillance Program (MADDSP). Ann Epidemiol 2023; 83:47-53.e1. [PMID: 37094622 PMCID: PMC10910514 DOI: 10.1016/j.annepidem.2023.04.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 03/29/2023] [Accepted: 04/18/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE The Metropolitan Atlanta Developmental Disabilities Surveillance Program tracks autism spectrum disorder (ASD) in selected counties within Georgia as part of the Autism and Developmental Disabilities Monitoring (ADDM) Network. ADDM Network analyses have historically found a higher prevalence of ASD in areas of higher socioeconomic status. METHODS We linked 2018 data from Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) to two Metropolitan Atlanta Developmental Disabilities Surveillance Program counties by census tract, grouped census tracts into tertiles representing low, medium, and high social vulnerability, and calculated ASD prevalence for each tertile, overall and by each of four SVI themes. RESULTS We found that overall prevalence was higher in areas of low compared to high vulnerability for the socioeconomic status and transportation themes, and in areas of medium compared to high vulnerability for all themes. This pattern was consistent among males but varied for females and by race or ethnicity. CONCLUSIONS Linking ASD prevalence to SVI metrics can improve the understanding of inequities among children with ASD in racial and ethnic minority groups or those living in low-resource settings. These methods can be applied to other ADDM Network surveillance sites and public health surveillance programs.
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Affiliation(s)
- Mary E Patrick
- Centers for Disease Control and Prevention, National Center on Birth Defects and Developmental Disabilities, Atlanta, GA.
| | - Michelle M Hughes
- Centers for Disease Control and Prevention, National Center on Birth Defects and Developmental Disabilities, Atlanta, GA
| | - Akilah Ali
- Oak Ridge Institute for Science and Education, Oak Ridge, TN
| | - Kelly A Shaw
- Centers for Disease Control and Prevention, National Center on Birth Defects and Developmental Disabilities, Atlanta, GA
| | - Matthew J Maenner
- Centers for Disease Control and Prevention, National Center on Birth Defects and Developmental Disabilities, Atlanta, GA
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16
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Prince N, Chu SH, Chen Y, Mendez KM, Hanson E, Green-Snyder L, Brooks E, Korrick S, Lasky-Su JA, Kelly RS. Phenotypically driven subgroups of ASD display distinct metabolomic profiles. Brain Behav Immun 2023; 111:21-29. [PMID: 37004757 PMCID: PMC11099628 DOI: 10.1016/j.bbi.2023.03.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/08/2023] [Accepted: 03/28/2023] [Indexed: 04/04/2023] Open
Abstract
Autism Spectrum Disorder (ASD) is a heterogeneous condition that includes a broad range of characteristics and associated comorbidities; however, the biology underlying the variability in phenotypes is not well understood. As ASD impacts approximately 1 in 100 children globally, there is an urgent need to better understand the biological mechanisms that contribute to features of ASD. In this study, we leveraged rich phenotypic and diagnostic information related to ASD in 2001 individuals aged 4 to 17 years from the Simons Simplex Collection to derive phenotypically driven subgroups and investigate their respective metabolomes. We performed hierarchical clustering on 40 phenotypes spanning four ASD clinical domains, resulting in three subgroups with distinct phenotype patterns. Using global plasma metabolomic profiling generated by ultrahigh-performance liquid chromatography mass spectrometry, we characterized the metabolome of individuals in each subgroup to interrogate underlying biology related to the subgroups. Subgroup 1 included children with the least maladaptive behavioral traits (N = 862); global decreases in lipid metabolites and concomitant increases in amino acid and nucleotide pathways were observed for children in this subgroup. Subgroup 2 included children with the highest degree of challenges across all phenotype domains (N = 631), and their metabolome profiles demonstrated aberrant metabolism of membrane lipids and increases in lipid oxidation products. Subgroup 3 included children with maladaptive behaviors and co-occurring conditions that showed the highest IQ scores (N = 508); these individuals had increases in sphingolipid metabolites and fatty acid byproducts. Overall, these findings indicated distinct metabolic patterns within ASD subgroups, which may reflect the biological mechanisms giving rise to specific patterns of ASD characteristics. Our results may have important clinical applications relevant to personalized medicine approaches towards managing ASD symptoms.
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Affiliation(s)
- Nicole Prince
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Su H Chu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yulu Chen
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin M Mendez
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ellen Hanson
- Divisions of Neurology and Developmental Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | | | | | - Susan Korrick
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jessica A Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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17
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Abdullahi I, Sadka N, Gilbert M, Barbaro J. Who Is Attending? The Role of Child Ethnicity and Maternal Demographics in Research Engagement and Early Identification of Autism. Brain Sci 2023; 13:903. [PMID: 37371381 DOI: 10.3390/brainsci13060903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 05/29/2023] [Accepted: 05/30/2023] [Indexed: 06/29/2023] Open
Abstract
Inequitable access to early autism developmental surveillance is evident globally. However, there is limited research examining autism diagnosis, ethnicity, and community profiles when engaging in research for the early identification of autism. We aimed to understand the relationships between child ethnicity, maternal demographics, and autism diagnosis, comparing retrospective data from the 2016 census for eight local government areas (LGAs) in Victoria, Australia. Maternal and child health (MCH) nurses monitored 13,511 children under 42 months for the early signs of autism using the Social Attention Communication Surveillance-Revised (SACS-R) and SACS-R Preschool (SACS-PR) tools during well-child checks. Of these, 340 children with a "high likelihood" of autism attended developmental assessments. Participants' maternal ethnicity ('European maternal ethnicity', EME; 'non-European maternal ethnicity,' N-EME; 'mixed maternal ethnicity,' MME'), socioeconomic factors, and autism prevalence were compared to their LGA community. Results indicated that study participants were representative of their LGA communities, though bi- and multilingualism was higher in our cohort. Differences in current maternal employment, maternal education, annual family income, and autism prevalence were found between the N-EME, EME, and MME groups. Our study found that research engagement was driven by maternal education, maternal employment, and annual family income, and further research is required to understand these relationships.
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Affiliation(s)
- Ifrah Abdullahi
- Olga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia
| | - Nancy Sadka
- Olga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia
| | - Melissa Gilbert
- Olga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia
| | - Josephine Barbaro
- Olga Tennison Autism Research Centre, School of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia
- Cooperative Research Centre for Living with Autism (Autism CRC), Indooroopilly, QLD 4068, Australia
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18
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DeVries L, Dempsey J, Wilson R. Improving Access to Diagnostic Evaluations for Developmental Disabilities Through an Initial Assessment Model. J Dev Behav Pediatr 2023; 44:e345-e349. [PMID: 37099646 DOI: 10.1097/dbp.0000000000001190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 03/20/2023] [Indexed: 04/28/2023]
Abstract
OBJECTIVE This study aimed to evaluate a novel model of care to improve access to diagnostic evaluations for autism spectrum disorder and/or developmental delays for school-age children. METHODS An "initial assessment" (IA) model for children aged 7 to 9 years was implemented at a large regional pediatric hospital. Referral patterns and the number of patients evaluated with the IA model were obtained through the electronic health record (EHR). Referral patterns from the EHR were checked against clinician surveys. RESULTS Total IA volume had a strong negative association with school-age WL volume ( r (22) = -0.92, p < 0.001), indicating that as IA volume increased, the WL volume declined. Evaluation of referral patterns after IAs revealed that approximately 1 in 3 children seen for IA did not require further evaluation and could be immediately removed from the WL. CONCLUSION Results indicate that implementation of a novel IA model was strongly associated with a decrease in WL volume for neurodevelopmental evaluations of school-age children. These findings support a "right-fit" approach to optimize clinical resources and improve access to neurodevelopmental evaluations.
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Affiliation(s)
- Lindsey DeVries
- Division of Developmental and Behavioral Pediatrics, Children's Hospital Colorado, University of Colorado Anschutz Medical Center, Aurora, CO
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19
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Bradshaw J, Eberth JM, Zgodic A, Federico A, Flory K, McLain AC. County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States. J Autism Dev Disord 2023:10.1007/s10803-023-05920-z. [PMID: 37142898 PMCID: PMC11019892 DOI: 10.1007/s10803-023-05920-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2023] [Indexed: 05/06/2023]
Abstract
Prevalence estimates of autism spectrum disorder (ASD) point to geographic and socioeconomic disparities in identification and diagnosis. Estimating national prevalence rates can limit understanding of local disparities, especially in rural areas where disproportionately higher rates of poverty and decreased healthcare access exist. Using a small area estimation approach from the 2016-2018 National Survey of Children's Health (N = 70,913), we identified geographic differences in ASD prevalence, ranging from 4.38% in the Mid-Atlantic to 2.71% in the West South-Central region. Cluster analyses revealed "hot spots" in parts of the Southeast, East coast, and Northeast. This geographic clustering of prevalence estimates suggests that local or state-level differences in policies, service accessibility, and sociodemographics may play an important role in identification and diagnosis of ASD.County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States.
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Affiliation(s)
- Jessica Bradshaw
- Department of Psychology, University of South Carolina, Columbia, SC, USA
| | - Jan M Eberth
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
- Rural and Minority Health Research Center, University of South Carolina, Columbia, SC, USA
| | - Anja Zgodic
- Rural and Minority Health Research Center, University of South Carolina, Columbia, SC, USA
| | - Alexis Federico
- Department of Psychology, University of South Carolina, Columbia, SC, USA
| | - Kate Flory
- Department of Psychology, University of South Carolina, Columbia, SC, USA
| | - Alexander C McLain
- Rural and Minority Health Research Center, University of South Carolina, Columbia, SC, USA.
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20
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Dillon EF, Kanne S, Landa RJ, Annett R, Bernier R, Bradley C, Carpenter L, Kim SH, Parish-Morris J, Schultz R, Wodka EL. Sex Differences in Autism: Examining Intrinsic and Extrinsic Factors in Children and Adolescents Enrolled in a National ASD Cohort. J Autism Dev Disord 2023; 53:1305-1318. [PMID: 34859339 PMCID: PMC9181723 DOI: 10.1007/s10803-021-05385-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/23/2021] [Indexed: 12/20/2022]
Abstract
Discernment of possible sex-based variations in presentations of autism spectrum disorder (ASD) symptoms is limited by smaller female samples with ASD and confounds with ASD ascertainment. A large national cohort of individuals with autism, SPARK, allowed parent report data to be leveraged to examine whether intrinsic child characteristics and extrinsic factors differentially impact males and females with ASD. Small but consistent sex differences in individuals with ASD emerged related to both intrinsic and extrinsic factors, with different markers for males and females. Language concerns in males may make discernment of ASD more straightforward, while early motor concerns in females may hamper diagnosis as such delays are not identified within traditional ASD diagnostic criteria.
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Affiliation(s)
- Emily F Dillon
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, USA
- Autism Assessment Research Training and Service (AARTS), Center at RUSH University, Chicago, IL, USA
| | - Stephen Kanne
- Thompson Center of Neurodevelopmental Disorders, University of Missouri, Columbia, MO, USA
- Cornell University, New York City, NY, USA
| | - Rebecca J Landa
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Robert Annett
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Raphael Bernier
- Department of Psychiatry, University of Washington, Seattle, WA, USA
| | - Catherine Bradley
- Developmental-Behavioral Pediatrics, Medical University of South Carolina, Charleston, SC, USA
| | - Laura Carpenter
- Developmental-Behavioral Pediatrics, Medical University of South Carolina, Charleston, SC, USA
| | - So Hyun Kim
- Weill Cornell Medicine, Clinical Psychiatry, New York, NY, USA
| | - Julia Parish-Morris
- Center for Autism and Children's Hospital of Philadelphia, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Robert's Center for Pediatric Research, Philadelphia, PA, USA
| | - Robert Schultz
- Center for Autism and Children's Hospital of Philadelphia, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ericka L Wodka
- Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, USA.
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21
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Khachadourian V, Mahjani B, Sandin S, Kolevzon A, Buxbaum JD, Reichenberg A, Janecka M. Comorbidities in autism spectrum disorder and their etiologies. Transl Psychiatry 2023; 13:71. [PMID: 36841830 PMCID: PMC9958310 DOI: 10.1038/s41398-023-02374-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 02/09/2023] [Accepted: 02/17/2023] [Indexed: 02/27/2023] Open
Abstract
Individuals with autism spectrum disorder (ASD), in addition to the core features of the disease, experience a higher burden of co-occurring medical conditions. This study sought to describe the frequency and distribution of comorbidit conditions in individuals with ASD, and systematically evaluate the possibility that pre- and postnatal exposures (e.g., preterm birth, hypoxia at birth, traumatic brain injury, and fetal alcohol syndrome) associated with ASD may also be linked with distinct comorbidities. We used the SPARK study database, launched by the Simons Foundation Autism Research Initiative (SFARI). Comorbidities considered in the study included neurological, cognitive, psychiatric, and physical conditions. The study sample consisted of 42,569 individuals with ASD and their 11,389 non-ASD siblings (full and half siblings). Majority (74%) of individuals with ASD had at least one comorbidity, and had a greater average number of comorbidities than their non-ASD siblings. Preterm birth and hypoxia at birth were the most common peri-natal exposures in the sample. In logistic regression models adjusted for covariates, these exposures were associated with several distinct comorbidities in ASD cases, including attention and behavior problems, psychiatric and neurological disorders, and growth conditions. A similar pattern of association was also observed in non-ASD siblings. Our findings underscore that individuals with ASD experience a greater burden of comorbidities, which could be partly attributable to the higher rates of perinatal exposures compared to their non-ASD siblings. Study findings, if replicated in other samples, can inform the etiology of comorbidity in ASD.
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Affiliation(s)
- Vahe Khachadourian
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Behrang Mahjani
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sven Sandin
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexander Kolevzon
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Abraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Magdalena Janecka
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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22
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Shenouda J, Barrett E, Davidow AL, Sidwell K, Lescott C, Halperin W, Silenzio VMB, Zahorodny W. Prevalence and Disparities in the Detection of Autism Without Intellectual Disability. Pediatrics 2023; 151:e2022056594. [PMID: 36700335 DOI: 10.1542/peds.2022-056594] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/04/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Intellectual ability predicts functional outcomes for children with autism spectrum disorder (ASD). It is essential to classify ASD children with and without intellectual disability (ID) to aid etiological research, provide services, and inform evidence-based educational and health planning. METHODS Using a cross-sectional study design, data from 2000 to 2016 active ASD surveillance among 8-year-olds residing in the New York-New Jersey Metropolitan Area were analyzed to determine ASD prevalence with and without ID. Multivariable Poisson regression models were used to identify trends for ASD with ID (ASD-I) and without ID (ASD-N). RESULTS Overall, 4661 8-year-olds were identified with ASD. Those that were ASI-I were 1505 (32.3%) and 2764 (59.3%) were ASD-N. Males were 3794 (81.4%), 946 (20.3%) were non-Hispanic Black (Black), 1230 (26.4%) were Hispanic, and 2114 (45.4%) were non-Hispanic white (white). We observed 2-fold and 5-fold increases in the prevalence of ASD-I and ASD-N, respectively, from 2000-2016. Black children were 30% less likely to be identified with ASD-N compared with white children. Children residing in affluent areas were 80% more likely to be identified with ASD-N compared with children in underserved areas. A greater proportion of children with ASD-I resided in vulnerable areas compared with children with ASD-N. Males had higher prevalence compared with females regardless of ID status; however, male-to-female ratios were slightly lower among ASD-I compared with ASD-N cases. CONCLUSIONS One-in-3 children with ASD had ID. Disparities in the identification of ASD without ID were observed among Black and Hispanic children as well as among children residing in underserved areas.
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Affiliation(s)
- Josephine Shenouda
- Rutgers School of Public Health, Piscataway, New Jersey
- Rutgers New Jersey Medical School, Newark, New Jersey
| | - Emily Barrett
- Rutgers School of Public Health, Piscataway, New Jersey
| | - Amy L Davidow
- New York University School of Global Public Health, New York, New York
| | - Kate Sidwell
- Rutgers New Jersey Medical School, Newark, New Jersey
| | - Cara Lescott
- Rutgers New Jersey Medical School, Newark, New Jersey
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23
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Classifying children with ASD by service utilization and treatment type: A cluster analysis of a nationally representative United States survey. Acta Psychol (Amst) 2023; 232:103800. [PMID: 36502602 DOI: 10.1016/j.actpsy.2022.103800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/15/2022] [Accepted: 12/01/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND If there are patterns of the distribution of services and treatments across the population of people with ASD, these patterns should be based along clinical characteristics or other service needs and not sociodemographic characteristics unrelated to evidence-based care. We examined how individuals in a broad, nationally representative sample "grouped together" based on service utilization and services needed but not covered by insurance. By understanding various treatment patterns, clinicians, researchers, policymakers, and self-advocates and their families can better advocate for high-quality, evidence-based services to be provided equitably. METHODS Using the 2011 Survey of Pathways to Diagnosis and Services, a cluster analysis was performed to explore patterns in this population based on medication use, private services use, school-based service use, and services not covered by insurance. Differences in clusters were then explored through multinomial logistic regression. RESULTS Six clusters emerged, showing differences in the level of service/medication usage and insurance coverage. Differences across clusters were associated with the level of functional limitation and age at ASD diagnosis. Disparities by insurance type, functional limitation, and age at diagnosis exist among patterns of ASD service provision. CONCLUSIONS Our analysis showed that intervention for children with ASD can be across several scales - high and low users of services (both private and school-based), high and low users of medications, and high and low levels of reported non-covered services. The differences were clustered in multiple ways. Further research should incorporate longitudinal and nationally representative data to explore these relationships further.
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24
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Pham C, Bacon EC, Grzybowski A, Carter-Barnes C, Arias S, Xu R, Lopez L, Courchesne E, Pierce K. Examination of the impact of the Get SET Early program on equitable access to care within the screen-evaluate-treat chain in toddlers with autism spectrum disorder. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2023:13623613221147416. [PMID: 36629055 PMCID: PMC10333446 DOI: 10.1177/13623613221147416] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
LAY ABSTRACT Delays in autism spectrum disorder identification and access to care could impact developmental outcomes. Although trends are encouraging, children from historically underrepresented minority backgrounds are often identified at later ages and have reduced engagement in services. It is unclear if disparities exist all along the screen-evaluation-treatment chain, or if early detection programs such as Get SET Early that standardize, these steps are effective at ameliorating disparities. As part of the Get SET Early model, primary care providers administered a parent-report screen at well-baby examinations, and parents designated race, ethnicity, and developmental concerns. Toddlers who scored in the range of concern, or whose primary care provider had concerns, were referred for an evaluation. Rates of screening and evaluation engagement within ethnic/racial groups were compared to US Census data. Age at screen, evaluation, and treatment engagement and quantity was compared across groups. Statistical models examined whether key factors such as parent concern were associated with ethnicity or race. No differences were found in the mean age at the first screen, evaluation, or initiation or quantity of behavioral therapy between participants. However, children from historically underrepresented minority backgrounds were more likely to fall into the range of concern on the parent-report screen, their parents expressed developmental concerns more often, and pediatricians were more likely to refer for an evaluation than their White/Not Hispanic counterparts. Overall results suggest that models that support transparent tracking of steps in the screen-evaluation-treatment chain and service referral pipelines may be an effective strategy for ensuring equitable access to care for all children.
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Affiliation(s)
| | | | | | | | | | - Ronghui Xu
- University of California, San Diego, USA
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25
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Rogge N. How the anchor moves: Measuring and comparing the anchoring bias in autistic and neurotypical individuals. JOURNAL OF BEHAVIORAL DECISION MAKING 2023. [DOI: 10.1002/bdm.2317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Nicky Rogge
- Faculty of Economics and Business Ku Leuven Brussels Belgium
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26
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Herzig van Wees S, Dini S. The silent shot: An analysis of the origin, sustenance and implications of the MMR vaccine - autism rumour in the Somali diaspora in Sweden and beyond. Glob Public Health 2023; 18:2257771. [PMID: 37750434 DOI: 10.1080/17441692.2023.2257771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 09/06/2023] [Indexed: 09/27/2023]
Abstract
This article traces the origin, sustenance and implications of a persistent rumour that is responsible for low measles mumps and rubella (MMR) vaccination uptake in the Somali diaspora in a number of countries across the globe. The rumour stipulates that the MMR vaccine - the silent shot - causes autism spectrum disorder (ASD). Although the association between MMR and ASD is non-causal, and various public health initiatives have promoted health information campaigns, the rumour continues to circulate in the Somali diaspora in many countries, including Sweden. This paper shows that there are valid reasons for this. The findings from this paper draw on a systematic scoping review and qualitative interview data from Sweden. The results show that the Somali community experiences higher than average rates of ASD compared to the general population. Moreover, ASD does not exist in the Somali language or their home country, is considered a Western disease that only affects Somali children in the diaspora, and is a highly stigmatised disease. Also, the Somali diaspora has had negative experiences with ASD diagnosis and care. The rumour has been sustained by the absence of an answer to their ASD fear and through active diaspora networks on social media. The network that surrounds the rumour has arguably further helped to create an epistemic community for a community whose concerns have been silenced.
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Affiliation(s)
| | - Samira Dini
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
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27
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Brinster MI, Brukilacchio BH, Fikki-Urbanovsky A, Shahidullah JD, Ravenscroft S. Improving Efficiency and Equity in Early Autism Evaluations: The (S)TAAR Model. J Autism Dev Disord 2023; 53:275-284. [PMID: 35020118 PMCID: PMC8753324 DOI: 10.1007/s10803-022-05425-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/02/2022] [Indexed: 02/03/2023]
Abstract
This paper describes the (Sin Exclusión) Transdisciplinary Autism Assessment and Resources ([S]TAAR) model and presents early metrics tracking efficiency and equity in access to high-quality comprehensive autism evaluations for young children. Retrospective chart reviews over one year (08/2018-08/2019) with n = 173 children were reviewed. Through care coordination with community providers, the model was developed to meet local needs by increasing throughput of children (< 4 years old) evaluated by a transdisciplinary team. Team-based processes included pre-visit triage, synchronous evaluation procedures, case conferencing, huddles, and care coordination. The model led to increased patient throughput, reductions in waitlist and time to diagnosis, and improved provider satisfaction. Improvements in access to care were equitable across patient race, ethnicity, language, and insurance type.
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Affiliation(s)
- Meredith I. Brinster
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Health Discovery Building, 1601 Trinity St., Bldg B, Z0600, Austin, TX 78712 USA
| | | | | | - Jeffrey D. Shahidullah
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Health Discovery Building, 1601 Trinity St., Bldg B, Z0600, Austin, TX 78712 USA
| | - Sheri Ravenscroft
- Division of Pediatrics, The University of Texas at Austin, Austin, TX USA
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28
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Williams LN, Wieckowski AT, Dieckhaus MFS, Dai YG, Zhang F, Dumont-Mathieu T, Barton M, Fein D, Robins DL. Primary Care Clinician and Child Characteristics Impacting Autism Surveillance. Brain Sci 2022; 13:brainsci13010018. [PMID: 36672000 PMCID: PMC9855901 DOI: 10.3390/brainsci13010018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 12/12/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
Early detection of autism provides access to early intervention and subsequently fewer lifelong challenges. However, disparities in screening have been associated with socioeconomic status (SES) and race, and disparities in surveillance have been associated with clinician knowledge and beliefs about autism identification. The present study examines associations between demographic variables and clinician beliefs, and agreement between screening results and clinician surveillance. Surveillance included activities used by the primary care clinicians (PCCs) to assess risk for autism. PCCs reported their beliefs about autism screening and identification, their sex, race, years in practice, and racial distribution of their patient population. Children's demographic information was also collected. PCCs identified children as having, or not having, an increased likelihood of autism, and parents of children completed an autism screener. Agreement between screening and surveillance results were examined across PCC, practice, and child demographics. Higher confidence in autism knowledge and screening resources, female PCC sex, and majority White practice patient demographics all predicted agreement between screening and surveillance. Female child sex and higher maternal education also predicted agreement between screening and surveillance. These findings highlight the importance of PCC screening beliefs and child and PCC demographics on the autism identification process.
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Affiliation(s)
- Lashae N. Williams
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA 19104, USA
- Correspondence:
| | | | - Mary F. S. Dieckhaus
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Yael G. Dai
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Fengqing Zhang
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA 19104, USA
| | - Thyde Dumont-Mathieu
- Department of Pediatrics, University of Connecticut School of Medicine, Farmington, CT 06032, USA
| | - Marianne Barton
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Deborah Fein
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Diana L. Robins
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA 19104, USA
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29
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Rooney T, Stern YS, Hampton LH, Grauzer J, Hobson A, Levin A, Jones MK, Kaat AJ, Roberts MY. Screening for Autism in 2-Year-Old Children: The Application of the Systematic Observation of Red Flags to the Screening Tool for Autism in Toddlers and Young Children. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2022; 31:2759-2769. [PMID: 36306799 PMCID: PMC9911122 DOI: 10.1044/2022_ajslp-22-00132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
PURPOSE A multimeasure approach was developed to capitalize on the strengths of two screening measures: the Screening Tool for Autism in Toddlers and Young Children (STAT), an observational measure of social communication, and the Systematic Observation of Red Flags (SORF), a checklist including restricted and repetitive behavior (RRB) items. This approach offers a novel method of identifying autism in toddlers. METHOD This was a retrospective study of data collected from a multidisciplinary diagnostic program for 24- to 36-month-olds with developmental delays. Raters with autism expertise but naïve to diagnoses applied the SORF to STAT videos. Psychometrics were derived for the SORF on STAT observations and a multiple-measure approach that used a Least Absolute Shrinkage and Selection Operator modeling framework to construct a STAT-SORF RRB Hybrid, retaining SORF RRB items based on individual predictive abilities. RESULTS The SORF alone correctly classified 84% of the sample (84% sensitivity and 86% specificity). The STAT-SORF RRB Hybrid model, which retained four SORF RRB items, correctly classified 90% of a validation sample (95% sensitivity and 75% specificity). CONCLUSION These findings highlight the potential utility of using multiple autism identification tools and regression-based scoring to establish presumptive eligibility and facilitate early access to autism interventions.
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Affiliation(s)
- Tara Rooney
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL
| | - Yael S. Stern
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL
| | | | - Jeffrey Grauzer
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL
| | - Amanda Hobson
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL
- Center for Audiology, Speech, Language, and Learning, Northwestern University, Evanston, IL
| | - Amy Levin
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL
- Center for Audiology, Speech, Language, and Learning, Northwestern University, Evanston, IL
| | - Maranda K. Jones
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL
| | - Aaron J. Kaat
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Megan Y. Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL
- Center for Audiology, Speech, Language, and Learning, Northwestern University, Evanston, IL
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30
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Cao M, Li L, Raat H, Van Grieken A, Wang X, Lin L, Chen Q, Jing J. Socioeconomic factors and autism among 16- to 30-month-old children: Evidence from a national survey of China. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2022:13623613221132743. [DOI: 10.1177/13623613221132743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
We examined the association of socioeconomic status with the diagnosis of autism during 16–30 months of age. Using data from a national survey in China, we included 6049 children (55.6% male) in the final analysis, among which 71 of them were clinically diagnosed with autism. Adjusted for covariates, the odds ratios for having the diagnosis of autism (2.46, 95% confidence interval: [1.32, 4.59]) among children whose mother’s level is “junior middle school or below” were significantly higher than children whose mother’s level is “college or above.” Among children of lower educated mothers, there is a higher risk of being diagnosed with autism at a young age. We recommend more support for families with a low socioeconomic status to early detect, diagnose, and manage autism. Lay abstract Does being born in a family of high socioeconomic status mean a higher risk of being diagnosed with autism? The evidence from the Asian area is lacking. This research was conducted among 6049 toddlers who went through an evaluation–diagnose procedure of autism and whose parents were surveyed during the national survey of China, 2016–2017. Parents reported their education levels, occupations, family income, and ethnic background. We recruited the toddlers and parents from kindergartens, communities, and hospitals in five geographically representative areas of China. On average, these toddlers were 23 months of age. We found toddlers whose mothers had less than 9 years of education (junior middle school or below) had 2.46 times the chance to get a diagnosis of autism, compared with toddlers whose mothers had more than 15 years of education (college or above). We also found that 1.17 toddlers could be diagnosed with autism in each 100 Chinese toddlers. These findings have important implications for providing support to families that have low socioeconomic status, especially families with a mother who did not complete 9 years of education. Early detection programs focused on children from low socioeconomic backgrounds should be promoted.
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Affiliation(s)
| | - Li Li
- Maternity and Children Health Care Hospital of Luohu District, China
| | - Hein Raat
- Erasmus University Medical Centre, The Netherlands
| | | | | | | | - Qiang Chen
- Zhuhai Women and Children’s Hospital, China
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31
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Ng PML, Cohen-Silver J, Yang H, Swaminathan A, Wormsbecker AE. Pediatric School Outreach: Clinical Needs of an Urban Student Population. Clin Pediatr (Phila) 2022; 61:776-784. [PMID: 35722885 DOI: 10.1177/00099228221101242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Pediatric School Outreach (PSO) is a school-based health center (SBHC) in an urban elementary school in Toronto, Canada. PSO focuses on developmental, behavioral, mental health, and educational concerns. A retrospective chart review aimed to characterize demographics, diagnoses, and referrals of patients attending PSO. Of 137 children, ages 2 to 15 years, 73.7% were male; 58.1% had a household annual income of <$30 000 CAD. Possible or confirmed diagnoses included attention deficit hyperactivity disorder (48.5%), learning disability (35.6%), anxiety (22.0%), autism spectrum disorder (16.7%), oppositional defiant disorder (14.4%), and expressive language delay (11.4%). Involvement of community mental health and other agencies was advised in 37.9% of cases. Psychoeducational testing was recommended for 25.0% of patients. Results suggest the need for timely developmental testing, particularly for autism spectrum disorder, and accessible learning disability diagnostic support. There is potential for expansion of interprofessional care at PSO, including psychology, psychiatry, social work, and behavior therapy.
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Affiliation(s)
- Pamela M L Ng
- Northern Ontario School of Medicine, Sudbury, ON, Canada
| | - Justine Cohen-Silver
- Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Department of Pediatrics, St. Joseph's Health Centre, Unity Health Toronto, Toronto, ON, Canada
| | - Heather Yang
- Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Department of Pediatrics, St. Joseph's Health Centre, Unity Health Toronto, Toronto, ON, Canada
| | - Aparna Swaminathan
- Department of Pediatrics, St. Joseph's Health Centre, Unity Health Toronto, Toronto, ON, Canada
| | - Anne E Wormsbecker
- Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Department of Pediatrics, St. Joseph's Health Centre, Unity Health Toronto, Toronto, ON, Canada
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32
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Halpern-Manners A, McLeod JD, Anderson EM, Ekl EA. COVID-19 and changes in college student educational expectations and health by disability status. SSM Popul Health 2022; 19:101195. [PMID: 35992965 PMCID: PMC9375263 DOI: 10.1016/j.ssmph.2022.101195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/26/2022] [Accepted: 07/29/2022] [Indexed: 11/18/2022] Open
Abstract
This study examines the implications of the coronavirus pandemic for college students' health and education, with special attention to variation by disability status. Disaster research supports the hypothesis that students with disabilities will experience higher-than-usual levels of pandemic-related stress, which could lead to re-evaluations of their educational expectations and declines in health. We evaluate this hypothesis by modeling changes in students’ (1) mental and physical health and (2) educational expectations during the first year (spring of 2020 to spring of 2021) of the pandemic, using survey data collected from a population-based sample of college students in the state of Indiana. Although we observe across-the-board declines in both domains, students with disabilities were especially vulnerable. Mediation analyses suggest that differential exposure to financial and illness-related stressors is partially to blame, explaining a significant portion of the group differences between students with and without disabilities. We interpret these results as evidence of the unique vulnerabilities associated with disability status and its wide-ranging importance as a dimension of social stratification. College students with disabilities were more likely to experience declines in mental and physical health during the first year of the pandemic than students without disabilities. Students with disabilities were also more likely to report declines in their educational expectations. Similar patterns were evident for students with an autism spectrum disorder (ASD). Differential exposure to financial and illness related stressors explains a significant portion of the group differences between students with and without disabilities.
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33
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Lin Y, Wang G, Yang Y, Jin X, Huang H, Zhang Y, Jin Z. Risk factors for ASD : Risk Factors for Autism Spectrum Disorder in Shanghai, China: A Population-based Case-control Study. J Autism Dev Disord 2022:10.1007/s10803-022-05603-1. [PMID: 35596026 DOI: 10.1007/s10803-022-05603-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/04/2022] [Indexed: 12/16/2022]
Abstract
Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder that brings heavy burdens to families and the society. This case-control study explored risk factors for ASD based on 74,252 children aged 3-12 years who were recruited from general education kindergartens, primary schools, and special education schools in Shanghai, China. One hundred ninety-two children were identified with ASD according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition. Male sex, the presence of anoxia or asphyxia at birth, artificial feeding, adverse maternal psychological status, complications during pregnancy and higher paternal education were associated with ASD even after controlling for age, residential district, family history of mental disorders, parental personality, and amount of daily TV viewing.
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Affiliation(s)
- Yuanyuan Lin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guanghai Wang
- Pediatric Translational Medicine Institute, Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China
| | - You Yang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xingming Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Huang
- Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwen Zhang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Zhijuan Jin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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34
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Lung FW, Shu BC. The synergistic interaction between urbanicity and maternal education affecting childcare pressure related to autism spectrum disorder in two national birth cohort studies. Eur Child Adolesc Psychiatry 2022:10.1007/s00787-022-01945-4. [PMID: 35059850 DOI: 10.1007/s00787-022-01945-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 01/07/2022] [Indexed: 11/03/2022]
Abstract
To gain a holistic approach for parental help-seeking behavior and ASD diagnosis, this study aimed to use two national birth cohort study datasets to investigate the pathway relationship between personal and social/environmental factors, including maternal perceived childcare pressure, maternal level of education, urbanization at age 3, and the chance of receiving a autism spectrum disorder (ASD) diagnosis at when children are aged 5.5 years (2.5 years later). The 2003 Taiwan Birth Cohort Pilot Study (TBCS-p; N = 1618) and 2005 Taiwan Birth Cohort Study (TBCS; N = 19,183) datasets were used. The TBCS-p and TBCS both showed similar prevalence of ASD (0.3-0.4%). Children with ASD characteristics, as measured using the Modified Checklist of Autism in Toddlers, had 8.27-18.20 times increased likelihood of receiving ASD diagnosis [TBCS confidence interval (CF) of 5.32-12.86; TBCS-p CF of 2.03-163.46]. Pathway analysis showed that, although having a mother with higher education or who lived in a city decreased the chance for ASD diagnosis, the interactive effect of a maternal higher level of education and living in a city led to an increased likelihood for ASD diagnosis. Additionally, mothers who perceived a higher level of childcare pressure were also more likely to seek medical assistance and diagnosis. Access to healthcare (living in the city), maternal level of awareness (level of education), and perceived childcare pressure are all factors that influence help-seeking behavior and diagnosis. Therefore, medical professionals should pay special attention to the developmental condition of children in underserved backgrounds and rural areas to prevent delayed diagnosis.
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Affiliation(s)
- For-Wey Lung
- Calo Psychiatric Center, Pingtung County, Taiwan.,Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan.,International Graduate Program of Education and Human Development, National Sun Yat-Sen University, Kaohsiung, Taiwan.,Institute of Education, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Bih-Ching Shu
- Department of Nursing, College of Medicine, Institute of Allied Health Sciences, National Cheng Kung University, No. 1 Da-Hsueh Rd., Tainan, 701, Taiwan.
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35
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Pham C, Symeonides C, O'Hely M, Sly PD, Knibbs LD, Thomson S, Vuillermin P, Saffery R, Ponsonby AL. Early life environmental factors associated with autism spectrum disorder symptoms in children at age 2 years: A birth cohort study. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2022; 26:1864-1881. [PMID: 35012378 DOI: 10.1177/13623613211068223] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
LAY ABSTRACT Mounting evidence indicates the contribution of early life environmental factors in autism spectrum disorder. We aim to report the prospective associations between early life environmental factors and autism spectrum disorder symptoms in children at the age of 2 years in a population-derived birth cohort, the Barwon Infant Study. Autism spectrum disorder symptoms at the age of 2 years strongly predicted autism spectrum disorder diagnosis by the age of 4 years (area under curve = 0.93; 95% CI (0.82, 1.00)). After adjusting for child's sex and age at the time of behavioural assessment, markers of socioeconomic disadvantage, such as lower household income and lone parental status; maternal health factors, including younger maternal age, maternal pre-pregnancy body mass index, higher gestational weight gain and prenatal maternal stress; maternal lifestyle factors, such as prenatal alcohol and environmental air pollutant exposures, including particulate matter < 2.5 μm at birth, child secondhand tobacco smoke at 12 months, dampness/mould and home heating with oil, kerosene or diesel heaters at 2 years postnatal. Lower socioeconomic indexes for area, later birth order, higher maternal prenatal depression and maternal smoking frequency had a dose-response relationship with autism spectrum disorder symptoms. Future studies on environmental factors and autism spectrum disorder should consider the reasons for the socioeconomic disparity and the combined impact of multiple environmental factors through common mechanistic pathways.
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Affiliation(s)
- Cindy Pham
- Murdoch Children's Research Institute, Parkville, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
- The University of Melboure, Parkville, Australia
| | - Christos Symeonides
- Murdoch Children's Research Institute, Parkville, Australia
- The University of Melboure, Parkville, Australia
| | - Martin O'Hely
- Murdoch Children's Research Institute, Parkville, Australia
- Deakin University, Geelong, Australia
| | - Peter D Sly
- The University of Queensland, South Brisbane, Australia
| | | | - Sarah Thomson
- The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
- The University of Melboure, Parkville, Australia
| | - Peter Vuillermin
- Murdoch Children's Research Institute, Parkville, Australia
- Deakin University, Geelong, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Parkville, Australia
- The University of Melboure, Parkville, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Parkville, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
- The University of Melboure, Parkville, Australia
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Dardani C, Riglin L, Leppert B, Sanderson E, Rai D, Howe LD, Davey Smith G, Tilling K, Thapar A, Davies NM, Anderson E, Stergiakouli E. Is genetic liability to ADHD and ASD causally linked to educational attainment? Int J Epidemiol 2022; 50:2011-2023. [PMID: 34999873 PMCID: PMC8743131 DOI: 10.1093/ije/dyab107] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 05/09/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The association patterns of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) with educational attainment (EA) are complex; children with ADHD and ASD are at risk of poor academic outcomes, and parental EA has been associated with risk of ADHD/ASD in the offspring. Little is known on the causal links between ADHD, ASD, EA and the potential contribution of cognitive ability. METHODS Using the latest genome-wide association studies (GWAS) summary data on ADHD, ASD and EA, we applied two-sample Mendelian randomization (MR) to assess the effects of genetic liability to ADHD and ASD on EA. Reverse direction analyses were additionally performed. Multivariable MR was performed to estimate any effects independent of cognitive ability. RESULTS Genetic liability to ADHD had a negative effect on EA, independently of cognitive ability (MVMRIVW: -1.7 months of education per doubling of genetic liability to ADHD; 95% CI: -2.8 to -0.7), whereas genetic liability to ASD a positive effect (MVMRIVW: 30 days per doubling of the genetic liability to ASD; 95% CI: 2 to 53). Reverse direction analyses suggested that genetic liability to higher EA had an effect on lower risk of ADHD, independently of cognitive ability (MVMRIVWOR: 0.33 per SD increase; 95% CI: 0.26 to 0.43) and increased risk of ASD (MRIVWOR: 1.51 per SD increase; 95% CI: 1.29 to 1.77), which was partly explained by cognitive ability (MVMRIVWOR per SD increase: 1.24; 95%CI: 0.96 to 1.60). CONCLUSIONS Genetic liability to ADHD and ASD is likely to affect educational attainment, independently of underlying cognitive ability.
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Affiliation(s)
- Christina Dardani
- Centre of Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Beate Leppert
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eleanor Sanderson
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Dheeraj Rai
- Centre of Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Laura D Howe
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate Tilling
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Anita Thapar
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Neil M Davies
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Emma Anderson
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Evie Stergiakouli
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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37
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Yoo SM, Kim KN, Kang S, Kim HJ, Yun J, Lee JY. Prevalence and Premature Mortality Statistics of Autism Spectrum Disorder Among Children in Korea: A Nationwide Population-Based Birth Cohort Study. J Korean Med Sci 2022; 37:e1. [PMID: 34981677 PMCID: PMC8723892 DOI: 10.3346/jkms.2022.37.e1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 11/09/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND The aim of this study was to estimate the 8-year prevalence and mortality statistics of autism spectrum disorder (ASD) according to birth year (2002-2012). METHODS We used the National Health Insurance Service database with 4,989,351 children born from 2002 to 2012 including 35,529 children diagnosed with ASD until 8 years of age. The 8-year cumulative prevalence of ASD was calculated annually (2010-2020) with 8 years of follow-up. The 8-year mortality was estimated using Cox models adjusted for sex, household income, area of residence, and year of birth. RESULTS Of the 473,494 children born in 2002, 2,467 (5.2 per 1,000 births) were diagnosed with ASD until 2010. The ASD prevalence was 2.6 times higher among boys (1,839; 7.4 per 1,000 boy births) than girls (628; 2.8 per 1,000 girl births). Of the 467,360 children born in 2012, 4,378 (9.4 per 1,000 births) were diagnosed with ASD until 2020. The ASD prevalence was 2.7 times higher among boys (3,246; 13.5 per 1,000 boy births) than girls (1,132; 5.0 per 1,000 girl births). The risk of all-cause mortality was higher among children with ASD than those without (hazard ratio [HR], 2.340; 95% confidence interval [CI], 2.063-2.654), which is substantially higher among girls (HR, 4.223; 95% CI, 3.472-5.135) than boys (HR, 1.774; 95% CI, 1.505-2.090). CONCLUSION The present study demonstrated that national-level prevalence and mortality statistics of ASD can be estimated effectively using claims data comprising newborns born each year and followed up for to the age of interest. Because this information is essential to establish evidence-based policies, health authorities need to consider producing epidemiological information of ASD continuously using the same methodology.
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Affiliation(s)
- Seung-Mi Yoo
- Graduate School of Public Health, Korea University, Seoul, Korea
| | - Kyoung-Nam Kim
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Sungchan Kang
- Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Hyun Joo Kim
- Department of Nursing Science, Shinsung University, Dangjin, Korea
| | - Jieun Yun
- Department of Pharmaceutical Engineering, Cheongju University, Cheongju, Korea
| | - Jin Yong Lee
- Public Healthcare Center, Seoul National University Hospital, Seoul, Korea
- Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea
- HIRA Research Institute, Health Insurance Review and Assessment Service, Wonju, Korea.
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38
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Shenouda J, Barrett E, Davidow AL, Halperin W, Silenzio VMB, Zahorodny W. Prevalence of autism spectrum disorder in a large, diverse metropolitan area: Variation by sociodemographic factors. Autism Res 2022; 15:146-155. [PMID: 34672116 PMCID: PMC8755586 DOI: 10.1002/aur.2628] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 07/28/2021] [Accepted: 09/30/2021] [Indexed: 01/03/2023]
Abstract
Autism spectrum disorder (ASD) prevalence estimates have varied by region. In this study, ASD prevalence, based on active case finding from multiple sources, was determined at the county and school district levels in the New Jersey metropolitan area. Among children born in 2008, residing in a four-county area and enrolled in public school in 2016, ASD prevalence was estimated to be 36 per 1000, but was significantly higher in one region-54 per 1000 and greater than 70 per 1000, in multiple school districts. Significant variation in ASD prevalence by race/ethnicity, socioeconomic status (SES), and school district size was identified. Highest prevalence was in mid-SES communities, contrary to expectation. Prevalence among Hispanic children was lower than expected, indicating a disparity in identification. Comprehensive surveillance should provide estimates at the county and town levels to appreciate ASD trends, identify disparities in detection or treatment, and explore factors influencing change in prevalence. LAY SUMMARY: We found autism prevalence to be 3.6% in New Jersey overall, but higher in one region (5.4%) and in multiple areas approaching 7.0%. We identified significant variation in autism spectrum disorder (ASD) prevalence by race/ethnicity, socioeconomic status (SES) and school district size. Mapping prevalence in smaller, well-specified, regions may be useful to better understand the true scope of ASD, disparities in ASD detection and the factors impacting ASD prevalence estimation.
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Affiliation(s)
- Josephine Shenouda
- Department of Biostatistics and Epidemiology, Rutgers – School of Public Health, 170 Frelinghuysen Rd, Piscataway, NJ 08854,Department of Pediatrics, Rutgers – New Jersey Medical School, 185 South Orange Ave F-511, Newark, NJ 07103
| | - Emily Barrett
- Department of Biostatistics and Epidemiology, Rutgers – School of Public Health, 170 Frelinghuysen Rd, Piscataway, NJ 08854,Environmental and Occupational Health Sciences Institute, Rutgers School of Public Health, 170 Frelinghuysen Rd, Piscataway, NJ 08854
| | - Amy L. Davidow
- Department of Biostatistics and Epidemiology, Rutgers – School of Public Health, 170 Frelinghuysen Rd, Piscataway, NJ 08854
| | - William Halperin
- Department of Biostatistics and Epidemiology, Rutgers – School of Public Health, 170 Frelinghuysen Rd, Piscataway, NJ 08854
| | - Vincent M. B. Silenzio
- Department of Urban-Global Public Health, Rutgers School of Public Health, 170 Frelinghuysen Rd, Piscataway, NJ 08854
| | - Walter Zahorodny
- Department of Pediatrics, Rutgers – New Jersey Medical School, 185 South Orange Ave F-511, Newark, NJ 07103
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39
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Rivera-Figueroa K, Marfo NYA, Eigsti IM. Parental Perceptions of Autism Spectrum Disorder in Latinx and Black Sociocultural Contexts: A Systematic Review. AMERICAN JOURNAL ON INTELLECTUAL AND DEVELOPMENTAL DISABILITIES 2022; 127:42-63. [PMID: 34979034 PMCID: PMC8740628 DOI: 10.1352/1944-7558-127.1.42] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 03/30/2021] [Indexed: 05/15/2023]
Abstract
Parents of children with autism spectrum disorder (ASD) face challenges in accessing diagnostic and treatment services; these challenges vary by race, ethnicity, and culture. This systematic review examines parental perceptions of ASD within Latinx and Black American communities. Findings indicate that interconnections with family and religious groups promoted positive coping and describe positive impacts of having a child with ASD. Relative to White families, community members reported reduced access to information and more inaccurate beliefs about ASD, higher levels of ASD-related stigma, and more negative experiences with healthcare providers, which serve to exacerbate healthcare disparities. Conclusions are limited by an underrepresentation of minority groups in research. We call for efforts to address the specific needs of racial and ethnic minorities.
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Affiliation(s)
- Karla Rivera-Figueroa
- Karla Rivera-Figueroa, Nana Yaa A. Marfo, and Inge-Marie Eigsti, University of Connecticut
| | - Nana Yaa A Marfo
- Karla Rivera-Figueroa, Nana Yaa A. Marfo, and Inge-Marie Eigsti, University of Connecticut
| | - Inge-Marie Eigsti
- Karla Rivera-Figueroa, Nana Yaa A. Marfo, and Inge-Marie Eigsti, University of Connecticut
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40
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Bakulski KM, Dou JF, Feinberg JI, Aung MT, Ladd-Acosta C, Volk HE, Newschaffer CJ, Croen LA, Hertz-Picciotto I, Levy SE, Landa R, Feinberg AP, Fallin MD. Autism-Associated DNA Methylation at Birth From Multiple Tissues Is Enriched for Autism Genes in the Early Autism Risk Longitudinal Investigation. Front Mol Neurosci 2021; 14:775390. [PMID: 34899183 PMCID: PMC8655859 DOI: 10.3389/fnmol.2021.775390] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/28/2021] [Indexed: 12/30/2022] Open
Abstract
Background: Pregnancy measures of DNA methylation, an epigenetic mark, may be associated with autism spectrum disorder (ASD) development in children. Few ASD studies have considered prospective designs with DNA methylation measured in multiple tissues and tested overlap with ASD genetic risk loci. Objectives: To estimate associations between DNA methylation in maternal blood, cord blood, and placenta and later diagnosis of ASD, and to evaluate enrichment of ASD-associated DNA methylation for known ASD-associated genes. Methods: In the Early Autism Risk Longitudinal Investigation (EARLI), an ASD-enriched risk birth cohort, genome-scale maternal blood (early n = 140 and late n = 75 pregnancy), infant cord blood (n = 133), and placenta (maternal n = 106 and fetal n = 107 compartments) DNA methylation was assessed on the Illumina 450k HumanMethylation array and compared to ASD diagnosis at 36 months of age. Differences in site-specific and global methylation were tested with ASD, as well as enrichment of single site associations for ASD risk genes (n = 881) from the Simons Foundation Autism Research Initiative (SFARI) database. Results: No individual DNA methylation site was associated with ASD at genome-wide significance, however, individual DNA methylation sites nominally associated with ASD (P < 0.05) in each tissue were highly enriched for SFARI genes (cord blood P = 7.9 × 10-29, maternal blood early pregnancy P = 6.1 × 10-27, maternal blood late pregnancy P = 2.8 × 10-16, maternal placenta P = 5.6 × 10-15, fetal placenta P = 1.3 × 10-20). DNA methylation sites nominally associated with ASD across all five tissues overlapped at 144 (29.5%) SFARI genes. Conclusion: DNA methylation sites nominally associated with later ASD diagnosis in multiple tissues were enriched for ASD risk genes. Our multi-tissue study demonstrates the utility of examining DNA methylation prior to ASD diagnosis.
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Affiliation(s)
- Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jason I Feinberg
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Max T Aung
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Heather E Volk
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States
| | - Craig J Newschaffer
- College of Health and Human Development, Penn State University, State College, PA, United States
| | - Lisa A Croen
- Kaiser Permanente Division of Research, Oakland, CA, United States
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, United States.,MIND Institute, University of California, Davis, Davis, CA, United States
| | - Susan E Levy
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Rebecca Landa
- Kennedy Krieger Institute Center for Autism and Related Disorders, Baltimore, MD, United States
| | - Andrew P Feinberg
- Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.,Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Margaret D Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States
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41
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Rosen NE, Lord C, Volkmar FR. The Diagnosis of Autism: From Kanner to DSM-III to DSM-5 and Beyond. J Autism Dev Disord 2021; 51:4253-4270. [PMID: 33624215 PMCID: PMC8531066 DOI: 10.1007/s10803-021-04904-1] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2021] [Indexed: 12/27/2022]
Abstract
In this paper we review the impact of DSM-III and its successors on the field of autism-both in terms of clinical work and research. We summarize the events leading up to the inclusion of autism as a "new" official diagnostic category in DSM-III, the subsequent revisions of the DSM, and the impact of the official recognition of autism on research. We discuss the uses of categorical vs. dimensional approaches and the continuing tensions around broad vs. narrow views of autism. We also note some areas of current controversy and directions for the future.
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Affiliation(s)
| | | | - Fred R. Volkmar
- Yale University, New Haven, USA
- Southern Connecticut State University, New Haven, USA
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42
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Verhoef E, Grove J, Shapland CY, Demontis D, Burgess S, Rai D, Børglum AD, St Pourcain B. Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy. Nat Commun 2021; 12:6534. [PMID: 34764245 PMCID: PMC8586371 DOI: 10.1038/s41467-021-26755-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 10/08/2021] [Indexed: 11/18/2022] Open
Abstract
Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) are complex co-occurring neurodevelopmental conditions. Their genetic architectures reveal striking similarities but also differences, including strong, discordant polygenic associations with educational attainment (EA). To study genetic mechanisms that present as ASD-related positive and ADHD-related negative genetic correlations with EA, we carry out multivariable regression analyses using genome-wide summary statistics (N = 10,610-766,345). Our results show that EA-related genetic variation is shared across ASD and ADHD architectures, involving identical marker alleles. However, the polygenic association profile with EA, across shared marker alleles, is discordant for ASD versus ADHD risk, indicating independent effects. At the single-variant level, our results suggest either biological pleiotropy or co-localisation of different risk variants, implicating MIR19A/19B microRNA mechanisms. At the polygenic level, they point to a polygenic form of pleiotropy that contributes to the detectable genome-wide correlation between ASD and ADHD and is consistent with effect cancellation across EA-related regions.
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Affiliation(s)
- Ellen Verhoef
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Nijmegen, The Netherlands
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine (Human Genetics) and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Chin Yang Shapland
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Ditte Demontis
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine (Human Genetics) and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dheeraj Rai
- Centre for Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University of Bristol, Bristol, UK
- Avon and Wiltshire Partnership NHS Mental Health Trust, Bristol, UK
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine (Human Genetics) and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Centre for Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
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43
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Kim KN, Yoo SM, Kang S, Kim HJ, Yun J, Lee JY. Mortality of Children with Autism Spectrum Disorder Using Data from a Large-Scale Korean National Cohort. Yonsei Med J 2021; 62:943-947. [PMID: 34558874 PMCID: PMC8470567 DOI: 10.3349/ymj.2021.62.10.943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/08/2021] [Accepted: 07/16/2021] [Indexed: 11/27/2022] Open
Abstract
PURPOSE This study aimed to investigate the association between autism spectrum disorder (ASD) diagnosis and mortality among children using the data from a large-scale national cohort of Korean infants and children. We also explored the association between hearing impairment detected during early infancy and mortality. MATERIALS AND METHODS We performed a retrospective cohort study using the nationwide claims data of the Republic of Korea. Children born between 2007 and 2014 (n=3598904) were followed up until 2020. Cox proportional hazard models were used to examine the association between ASD diagnosis and mortality among children. Then, in order to evaluate the association between hearing impairment and mortality, Cox proportional hazard models were built using the responses related to hearing impairment asked during the first health screening (at age 4-6 months). RESULTS Of the 3598904 children born between 2007 and 2014, 32878 children (0.9%) were diagnosed with ASD until the end of 2020. We identified that ASD diagnosis was associated with higher mortality among children [hazard ratio (HR)=2.5, 95% confidence interval (CI): 2.2-2.9]. This association was stronger among girls (HR=4.8, 95% CI: 3.9-5.8) compared to boys (HR=1.9, 95% CI: 1.6-2.2). We found that hearing impairment detected during infancy was associated with higher mortality among children with ASD diagnosis. CONCLUSION ASD diagnosis was associated with higher mortality among Korean children. This association was stronger in girls than in boys. Hearing impairment detected during infancy was also associated with higher mortality among children diagnosed with ASD.
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Affiliation(s)
- Kyoung-Nam Kim
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Seung-Mi Yoo
- Graduate School of Public Health, Korea University, Seoul, Korea
| | - Sungchan Kang
- Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Hyun Joo Kim
- Department of Nursing Science, Shinsung University, Dangjin, Korea
| | - Jieun Yun
- Department of Pharmaceutical Engineering, Cheongju University, Cheongju, Korea
| | - Jin Yong Lee
- Public Healthcare Center, Seoul National University Hospital, Seoul, Korea
- Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea
- HIRA Research Institute, Health Insurance Review and Assessment Service, Wonju, Korea.
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44
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Grivas G, Frye R, Hahn J. Pregnant Mothers' Medical Claims and Associated Risk of Their Children being Diagnosed with Autism Spectrum Disorder. J Pers Med 2021; 11:950. [PMID: 34683092 PMCID: PMC8537202 DOI: 10.3390/jpm11100950] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 09/13/2021] [Accepted: 09/21/2021] [Indexed: 12/11/2022] Open
Abstract
A retrospective analysis of administrative claims containing a diverse mixture of ages, ethnicities, and geographical regions across the United States was conducted in order to identify medical events that occur during pregnancy and are associated with autism spectrum disorder (ASD). The dataset used in this study is comprised of 123,824 pregnancies of which 1265 resulted in the child being diagnosed with ASD during the first five years of life. Logistic regression analysis revealed significant relationships between several maternal medical claims, made during her pregnancy and segmented by trimester, and the child's diagnosis of ASD. Having a biological sibling with ASD, maternal use of antidepressant medication and psychiatry services as well as non-pregnancy related claims such hospital visits, surgical procedures, and radiology exposure were related to an increased risk of ASD regardless of trimester. Urinary tract infections during the first trimester and preterm delivery during the second trimester were also related to an increased risk of ASD. Preventative and obstetrical care were associated with a decreased risk for ASD. A better understanding of the medical factors that increase the risk of having a child with ASD can lead to strategies to decrease risk or identify those children who require increased surveillance for the development of ASD to promote early diagnosis and intervention.
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Affiliation(s)
- Genevieve Grivas
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York, NY 12180, USA;
- Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York, NY 12180, USA
- OptumLabs Visiting Fellow, OptumLabs, Eden Prairie, MN 55344, USA
| | - Richard Frye
- Department of Child Health, University of Arizona College of Medicine, Phoenix, AZ 85004, USA;
- Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Juergen Hahn
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York, NY 12180, USA;
- Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York, NY 12180, USA
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York, NY 12180, USA
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Kuenzel E, Seguin D, Nicolson R, Duerden EG. Early adversity and positive parenting: Association with cognitive outcomes in children with autism spectrum disorder. Autism Res 2021; 14:2654-2662. [PMID: 34549545 DOI: 10.1002/aur.2613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 07/30/2021] [Accepted: 08/30/2021] [Indexed: 01/30/2023]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social communication and repetitive behaviors. Children with ASD are statistically more likely to experience early adversity; however, little is known about the types of early adversity that place these children at risk, the role of parenting as a protective factor, and how this early life stress impacts cognitive outcomes. We assessed early adversity in 302 children (ASD = 98) aged 6-16 years old, using parent-based report. To identify protective factors, we assessed parenting styles using parent surveys. Executive functions were assessed in the children using the WISC-V. Children with ASD had an increased incidence of familial stressors compared to the typically developing (TD) group. Positive parenting was associated with a significant decrease in the incidence of familial adverse events for both children with ASD and TD children. Examining the relationship between adversity and cognitive outcomes, in young children (6-11 years) with ASD, environmental stressors were associated with cognitive impairments. Findings suggest children with ASD may be at higher risk for familial adversity than their TD peers. However, all children benefit from positive parenting styles, which may mitigate the adverse effects of family-based early life stress. LAY SUMMARY: Some key features of Autism Spectrum Disorder (ASD) include difficulties with communication and social impairments. This means that children with ASD may be more likely to experience early adversity (stressful social interactions which take place during childhood) than children without ASD. Research in typically developing (TD) children has shown that experiencing more stressful events in childhood can cause changes in the brain, which can potentially impact the child's memory, reasoning, and decision-making skills later in life. However, there is evidence to suggest that having a nurturing relationship with a parent can offset some of the negative impacts of childhood adversity. In our study, we found that children with ASD are more likely to experience family-related stress compared to TD children. Having a positive relationship with a parent, however, was linked to experiencing this type of stress less often for all children, regardless of whether they were diagnosed with ASD. We also found that stressors related to environmental factors like financial instability were associated with lower cognitive abilities in children with ASD under 12 years of age. Understanding how these factors interact and differ in children with ASD can help to build stronger families and help children with ASD to thrive throughout their development.
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Affiliation(s)
- Elizabeth Kuenzel
- Applied Psychology, Faculty of Education, University of Western Ontario, London, Ontorio, Canada
| | - Diane Seguin
- Applied Psychology, Faculty of Education, University of Western Ontario, London, Ontorio, Canada.,Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontorio, Canada
| | - Robert Nicolson
- Psychiatry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontorio, Canada
| | - Emma G Duerden
- Applied Psychology, Faculty of Education, University of Western Ontario, London, Ontorio, Canada.,Psychiatry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontorio, Canada
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Han VX, Patel S, Jones HF, Dale RC. Maternal immune activation and neuroinflammation in human neurodevelopmental disorders. Nat Rev Neurol 2021; 17:564-579. [PMID: 34341569 DOI: 10.1038/s41582-021-00530-8] [Citation(s) in RCA: 197] [Impact Index Per Article: 65.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/23/2021] [Indexed: 02/06/2023]
Abstract
Maternal health during pregnancy plays a major role in shaping health and disease risks in the offspring. The maternal immune activation hypothesis proposes that inflammatory perturbations in utero can affect fetal neurodevelopment, and evidence from human epidemiological studies supports an association between maternal inflammation during pregnancy and offspring neurodevelopmental disorders (NDDs). Diverse maternal inflammatory factors, including obesity, asthma, autoimmune disease, infection and psychosocial stress, are associated with an increased risk of NDDs in the offspring. In addition to inflammation, epigenetic factors are increasingly recognized to operate at the gene-environment interface during NDD pathogenesis. For example, integrated brain transcriptome and epigenetic analyses of individuals with NDDs demonstrate convergent dysregulated immune pathways. In this Review, we focus on the emerging human evidence for an association between maternal immune activation and childhood NDDs, including autism spectrum disorder, attention-deficit/hyperactivity disorder and Tourette syndrome. We refer to established pathophysiological concepts in animal models, including immune signalling across the placenta, epigenetic 'priming' of offspring microglia and postnatal immune-brain crosstalk. The increasing incidence of NDDs has created an urgent need to mitigate the risk and severity of these conditions through both preventive strategies in pregnancy and novel postnatal therapies targeting disease mechanisms.
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Affiliation(s)
- Velda X Han
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Shrujna Patel
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,The Children's Hospital at Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Hannah F Jones
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Department of Neuroservices, Starship Children's Hospital, Auckland, New Zealand
| | - Russell C Dale
- Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia. .,The Children's Hospital at Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia. .,The Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia.
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Reuben KE, Stanzione CM, Singleton JL. Interpersonal Trauma and Posttraumatic Stress in Autistic Adults. AUTISM IN ADULTHOOD 2021; 3:247-256. [PMID: 36605371 PMCID: PMC8992908 DOI: 10.1089/aut.2020.0073] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background Many autistic adults report interpersonal traumas (IPTs) such as physical or sexual assault, which are often associated with posttraumatic stress and dissociation. Factors such as gender might make autistic individuals particularly vulnerable to experiencing IPT and negative posttraumatic symptoms. Methods In this study, 687 self-identified autistic adults completed an online survey on their traumatic experiences and mental health symptoms. Results Seventy-two percent of participants reported experiencing sexual assault, other unwanted or uncomfortable sexual experiences, or physical assault. Forty-four percent of participants met the criteria for posttraumatic stress disorder (PTSD), including 50% of those who had experienced IPT and 28% of those who had not (odds ratio = 2.50; 95% confidence interval 1.74-3.60). IPT was also significantly associated with higher levels of psychoform (p < 0.001) and somatoform (p < 0.001) dissociation. Autistic cisgender women and gender minorities experienced a significantly higher number of traumas (p = 0.004) and were significantly more likely than cisgender men to experience sexual IPT (p < 0.001) and meet the criteria for PTSD (p < 0.001). There were no significant differences between autistic individuals with and without a professional autism spectrum disorder (ASD) diagnosis. Conclusions IPT is associated with potentially severe mental health outcomes for autistic adults. Autistic women and gender minorities may be particularly vulnerable to sexual IPT and adverse outcomes. Increased screening for a history of IPT and posttraumatic symptoms is recommended for all autistic adults regardless of ASD diagnosis status. Lay summary Why was this study done?: Many autistic people experience interpersonal traumas (IPTs) such as sexual or physical assault. These can lead to mental health challenges such as posttraumatic stress disorder (PTSD) or dissociation (a disconnection between individuals and aspects of their perceptions or sense of self). We wanted to better understand what might make autistic adults more likely to experience trauma and how it affects them.What was the purpose of this study?: The purpose was to understand what might make autistic people more at risk of experiencing IPT and PTSD. We also wanted to know if IPT is associated with a higher risk of PTSD or dissociation.What did the researchers do?: Six hundred eighty-seven autistic adults filled out an online survey about their traumatic experiences, PTSD symptoms, and dissociation symptoms. We analyzed their responses to see how often participants reported experiencing different types of trauma and whether they met the criteria for PTSD and clinical dissociation. We then compared trauma experiences and PTSD rates across genders and those with and without a professional autism spectrum disorder (ASD) diagnosis and compared PTSD rates and dissociation rates across participants who had versus had not experienced IPT.What were the results of the study?: Seventy-two percent of autistic adults in this study reported having experienced sexual assault, another unwanted sexual experience, or physical assault. Almost half (44%) met the criteria for PTSD. Most participants (93%) also reported high levels of mind-based dissociation, and 32% reported high levels of body-based dissociation (dissociation that causes negative emotions to be experienced as physical problems such as headaches or trouble moving). Participants who had experienced IPT were almost twice as likely to meet the criteria for PTSD and scored higher on both measures of dissociation. Cisgender women and gender minorities were more likely to experience IPT and meet the criteria for PTSD than cisgender men. Participants with and without a professional ASD diagnosis did not differ.What do these findings add to what was already known?: Most previous research on trauma and PTSD for autistic people was done on children and did not look at IPT specifically or compare people based on their gender or ASD diagnosis. As far as we know, this is the first study on posttraumatic dissociation in autistic adults.What are potential weaknesses in the study?: The findings of this study may not apply to autistic adults as a whole. People who could have participated may not have been interested in the topic, may not have seen study advertisements and so been unaware of the study, or may not have had the time or energy to participate. Findings might have been different if different groups of autistic people participated more.How will these findings help autistic adults now or in the future?: If professionals who help autistic people do not talk to them about trauma, traumatized autistic adults may not get the right support. This study could encourage professionals to screen more autistic people, especially women and gender minorities, for trauma.
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Affiliation(s)
- Katherine E. Reuben
- Center for Research on Interpersonal Violence, School of Public Health, Georgia State University, Atlanta, Georgia, USA.,Address correspondence to: Katherine E. Reuben, BS, Center for Research on Interpersonal Violence, School of Public Health, Georgia State University, P.O. Box 3995, Atlanta, GA 30302, USA.
| | | | - Jenny L. Singleton
- Department of Linguistics, University of Texas at Austin, Austin, Texas, USA
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Income inequality and non-communicable disease mortality and morbidity in Brazil States: a longitudinal analysis 2002-2017. LANCET REGIONAL HEALTH. AMERICAS 2021; 2:100042. [PMID: 36779037 PMCID: PMC9904117 DOI: 10.1016/j.lana.2021.100042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/30/2021] [Accepted: 07/30/2021] [Indexed: 11/22/2022]
Abstract
Background Income inequality can negatively affect population health by increasing social stress and conflict, and reducing trust, public goods and healthcare access. However there is limited evidence from low and middle-income countries (LMICs) with high levels of inequality. This study investigates the association between income inequality, morbimortality and risk factors of non-communicable diseases (NCDs) in 26 Brazilian states from 2002 to 2017. Methods Data was acquired for men and women from the Global Health Data Exchange, the Brazilian Institute of Geography and Statistics, and the Brazilian Ministry of Health, totalling 416 state-year observations. Disability-adjusted life years (DALYs) and risk factors of NCDs were the dependent variables. Gini Index was the main independent variable. Multivariate linear panel regressions were performed, controlling for state and time fixed effects, gross domestic product per capita, population ageing, poverty and access to healthcare. Findings A 1% increase in the Gini Index was associated with increases in alcohol abuse (of 923•4 DALYs per 100,000 people, 95%CI 217•6 to 1629•0) and diabetes mellitus morbidity (of 893•3 DALYs per 100,000 people, 95%CI 127•7 to 1659•0), and decreases in morbidity from attention disorder (of -4•0 DALYs per 100,000 people, 95%CI -7•4 to -0•5) and autism spectrum (of -2•4 DALYs per 100,000 people, 95%CI -4•3 to -0•5). These associations were greater for men, further supported by associations with alcohol use as a risk factor. Interpretation This study provides evidence from a highly unequal LMIC, Brazil, of negative associations between income inequality and NCDs, and the importance of addressing wider social determinants of health. Funding This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001 as a Brazilian CAPES scholarship to AZD and by the São Paulo Research Foundation (FAPESP), grant 2020/15944-8 to RSG.
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Yu T, Lien YJ, Liang FW, Kuo PL. Parental Socioeconomic Status and Autism Spectrum Disorder in Offspring: A Population-Based Cohort Study in Taiwan. Am J Epidemiol 2021; 190:807-816. [PMID: 33128070 DOI: 10.1093/aje/kwaa241] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 10/11/2020] [Accepted: 10/27/2020] [Indexed: 12/17/2022] Open
Abstract
Studies from the United States have shown increasing incidence of autism spectrum disorder (ASD) with increasing socioeconomic status (SES), whereas in Scandinavian countries, no such relation was identified. We investigated how ASD risk in offspring varied according to parental SES in Taiwan, where there is universal health care. Through linking birth reporting data and data from Taiwan's national health insurance program, we studied 706,111 singleton births from 2004 to 2007 and followed them until 2015. Parental SES was determined by monthly salary at the time of childbirth, and child neuropsychiatric outcomes were defined using International Classification of Diseases codes. We identified 7,323 ASD cases and 7,438 intellectual disability (ID) cases; 17% of ASD cases had co-occurring ID. In multivariable Cox regression analysis, higher SES was independently associated with higher risk of ASD after we took into account urbanization levels, child sex, parental age, and other covariates. By contrast, higher SES was independently associated with lower risk of ID. Besides the SES disparity in ASD case ascertainment and in the access to health care, findings from Taiwan suggest that other social, environmental, biological, and immunological factors linked with parental SES levels may contribute to the positive relation of SES and ASD risk.
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Sturm A, Williams J, Kasari C. Who gains and who loses? Sociodemographic disparities in access to special education services among autistic students. Autism Res 2021; 14:1621-1632. [PMID: 33904253 DOI: 10.1002/aur.2517] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 03/06/2021] [Accepted: 03/18/2021] [Indexed: 11/10/2022]
Abstract
Little is known about differences in the allocation of special education services to students with autism compared with students with other primary learning differences (e.g., intellectual disability [ID], specific learning disability [SLD]) and the comparative impact of sociodemographic factors on special education service receipt. The present study aimed to compare allocation of services (i.e., quantity and types) between students eligible for special education services under autism, SLD and ID, and to identify differences in sociodemographic predictors (e.g., race, neighborhood income) of service allocation. Data were culled from special education administrative records from a large urban, primarily Hispanic, Latino, or Spanish-serving school district from academic years 2011-2012 to 2016-2017. Participants included N = 76,428 students (Nautism = 18,151, NSLD = 54,001, NID = 4,276) ages 2-18. Results showed that autistic students received, on average, more services than students with SLD. Services received by students served under autism and SLD eligibility were more congruent with areas of need (e.g., language, occupational therapy) relative to students served under ID. Student-level socioeconomic status (free and reduced lunch) was more positively predictive of the number of special education services received than the neighborhood income of the school the student attended. Finally, the most significant racial disparities in service allocation were observed among students served under autism eligibility. The present study demonstrates the critical role of economic resources in the quantity and types of services received, and the desirability of a public education for well-resourced families who are possibly best situated to navigate special education services. LAY SUMMARY: An eligibility of autism in special education confers a significant advantage in the number of services a student receives. Disparity in the quantity of special education services exists among autistic students across many sociodemographic factors. Most notably, greater allocation of services to non-Hispanic, Latino, or Spanish, White American, European American, or Middle Eastern American students and students who do not receive free and reduced lunch.
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Affiliation(s)
- Alexandra Sturm
- University of California, Center for Autism Research and Treatment, Los Angeles, California, USA.,Department of Psychology, Loyola Marymount University, Los Angeles, California, USA
| | - Justin Williams
- University of California, Center for Autism Research and Treatment, Los Angeles, California, USA
| | - Connie Kasari
- University of California, Center for Autism Research and Treatment, Los Angeles, California, USA
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