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Leonard H, Whitehouse A, Jacoby P, Benke T, Demarest S, Saldaris J, Wong K, Reddihough D, Williams K, Downs J. Quality of life beyond diagnosis in intellectual disability - Latent profiling. RESEARCH IN DEVELOPMENTAL DISABILITIES 2022; 129:104322. [PMID: 35939908 PMCID: PMC9792277 DOI: 10.1016/j.ridd.2022.104322] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 07/26/2022] [Accepted: 07/31/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To compare quality of life (QOL) across diagnoses associated with intellectual disability, construct QOL profiles and evaluate membership by diagnostic group, function and comorbidities. METHOD Primary caregivers of 526 children with intellectual disability (age 5-18 years) and a diagnosis of cerebral palsy, autism spectrum disorder, Down syndrome, CDKL5 deficiency disorder or Rett syndrome completed the Quality of Life Inventory-Disability (QI-Disability) questionnaire. Latent profile analysis of the QI-Disability domain scores was conducted. RESULTS The mean (SD) total QOL score was 67.8 (13.4), ranging from 60.3 (14.6) for CDD to 77.5 (11.7) for Down syndrome. Three classes describing domain scores were identified: Class 1 was characterised by higher domain scores overall but poorer negative emotions scores; Class 2 by average to high scores for most domains but low independence scores; and Class 3 was characterised by low positive emotions, social interaction, and leisure and the outdoors scores, and extremely low independence scores. The majority of individuals with autism spectrum disorder and Down syndrome belonged to Class 1 and the majority with CDKL5 deficiency disorder belonged to Class 3. Those with better functional abilities (verbal communication and independent walking were predominately members of Class 1 and those with frequent seizures were more often members of Class 2 and 3. CONCLUSION The profiles illustrated variation in QOL across a diverse group of children. QOL evaluations illustrate areas where interventions could improve QOL and provide advice to families as to where efforts may be best directed.
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Affiliation(s)
- Helen Leonard
- Telethon Kids Institute, Child Disability, The University of Western Australia, Perth, Western Australia, Australia
| | - Andrew Whitehouse
- Telethon Kids Institute, CliniKids Autism Research, Perth, Western Australia, Australia
| | - Peter Jacoby
- Telethon Kids Institute, Child Disability, The University of Western Australia, Perth, Western Australia, Australia
| | - Tim Benke
- Children's Hospital Colorado, Paediatric Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Scott Demarest
- Children's Hospital Colorado, Paediatric Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Jacinta Saldaris
- Telethon Kids Institute, Child Disability, The University of Western Australia, Perth, Western Australia, Australia
| | - Kingsley Wong
- Telethon Kids Institute, Child Disability, The University of Western Australia, Perth, Western Australia, Australia
| | - Dinah Reddihough
- Royal Children's Hospital, Parkville, Victoria, Australia; Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Katrina Williams
- Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia; Paediatric Education and Research, Monash University, Melbourne, Victoria, Australia; Developmental Paediatrics, Monash Children's Hospital, Australia
| | - Jenny Downs
- Telethon Kids Institute, Child Disability, The University of Western Australia, Perth, Western Australia, Australia; Curtin University, School of Physiotherapy and Exercise Science, Perth, Western Australia, Australia.
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2
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Reddihough D, Leonard H, Jacoby P, Kim R, Epstein A, Murphy N, Reid S, Whitehouse A, Williams K, Downs J. Comorbidities and quality of life in children with intellectual disability. Child Care Health Dev 2021; 47:654-666. [PMID: 33885172 DOI: 10.1111/cch.12873] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 02/22/2021] [Accepted: 04/12/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND Many children with intellectual disability live with medical comorbidities. This study examined the impacts of comorbidities on quality of life (QOL) of children with intellectual disabilities and whether impacts varied with caregiver perceptions that medical needs had been met. METHODS Primary caregivers of 447 children (aged 5-19 years) with an intellectual disability reported on their child's medical comorbidities and the extent to which they perceived their child's medical needs had been met in a cross-sectional observational study. The Quality of Life Inventory-Disability was used to measure QOL on a 100-point scale. Linear regression models including interaction terms were used to evaluate their associations. RESULTS Parent-reported recurrent child pain (-4.97, 95% CI -8.21, -1.72), night-time sleep disturbances (-4.98, 95% CI -7.23, -2.73), daytime somnolence (-8.71, 95% CI -11.30, -2.73), seizures that occurred at least weekly (-7.59, 95% CI -13.50, -1.68) and conservatively managed severe scoliosis (-7.39, 95% CI -12.97, -1.81) were negatively associated with child QOL. Despite the majority of parents (~70%) perceiving that their child's medical needs had been met to a great extent, this did not significantly moderate the association between any comorbidities and QOL. CONCLUSIONS Comorbidities were common and had marked associations with QOL. Evaluation and management of pain and sleep disturbance continue to be high priorities in improving QOL of young people with intellectual disabilities. Further research on the optimal methods of managing these comorbidities is warranted.
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Affiliation(s)
- Dinah Reddihough
- Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.,Neurodevelopment and Disability, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Helen Leonard
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Peter Jacoby
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Rachel Kim
- Department of Sociology, Princeton University, Princeton, New Jersey, USA
| | - Amy Epstein
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Nada Murphy
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Sue Reid
- Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.,Neurodevelopment and Disability, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Andrew Whitehouse
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Katrina Williams
- Paediatric Education and Research, Monash University, Melbourne, Victoria, Australia
| | - Jenny Downs
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia.,Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
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3
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Alvares GA, Licari MK, Stevenson PG, Bebbington K, Cooper MN, Glasson EJ, Tan DW, Uljarević M, Varcin KJ, Wray J, Whitehouse AJO. Investigating associations between birth order and autism diagnostic phenotypes. J Child Psychol Psychiatry 2021; 62:961-970. [PMID: 33164221 DOI: 10.1111/jcpp.13349] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/05/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Birth order effects have been linked to variability in intelligence, educational attainment and sexual orientation. First- and later-born children have been linked to an increased likelihood of an Autism Spectrum Disorder (ASD) diagnosis, with a smaller body of evidence implicating decreases in cognitive functioning with increased birth order. The present study investigated the potential association between birth order and ASD diagnostic phenotypes in a large and representative population sample. METHODS Data were obtained from an ongoing prospective diagnostic registry, collected between 1999 and 2017, including children (1-18 years of age, n = 5,404) diagnosed with ASD in the state of Western Australia. Children with ASD were ranked relative to sibling's birth to establish birth order within families at time of ASD diagnosis. Information reported to the registry by health professionals at the time of diagnostic evaluation included demographic and family characteristics, functional abilities and intellectual capacity. RESULTS Adaptive functioning and intelligence scores decreased with increasing birth order, with later-born children more likely to have an intellectual disability. Compared to first-born children with siblings, first-born children without siblings at the time of diagnosis also exhibited decreased cognitive functioning. CONCLUSIONS These findings demonstrate for the first time an association between increasing birth order and variability in ASD clinical phenotypes at diagnosis, with potential evidence of reproductive curtailment in children without siblings. Taken together, these findings have significant implications for advancing understanding about the potential mechanisms that contribute to heterogeneity in ASD clinical presentations as a function of birth order and family size.
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Affiliation(s)
- Gail A Alvares
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Melissa K Licari
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Paul G Stevenson
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Keely Bebbington
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Matthew N Cooper
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Emma J Glasson
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Diana W Tan
- School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia
| | - Mirko Uljarević
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Kandice J Varcin
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - John Wray
- Child and Adolescent Health Service, Western Australia Department of Health, Perth, WA, Australia
| | - Andrew J O Whitehouse
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
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4
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Gilbertson M, Richardson C, Eastwood P, Wilson A, Jacoby P, Leonard H, Downs J. Determinants of sleep problems in children with intellectual disability. J Sleep Res 2021; 30:e13361. [PMID: 34032327 DOI: 10.1111/jsr.13361] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 03/22/2021] [Accepted: 04/05/2021] [Indexed: 10/21/2022]
Abstract
Children with intellectual disabilities are more likely to experience sleep disorders of insomnia, excessive daytime sleepiness and sleep breathing disorders than typically developing children. The present study examined risk factors for these sleep disorders in 447 children (aged 5-18 years), diagnosed with an intellectual disability and comorbid autism spectrum disorder, cerebral palsy, Down syndrome or Rett syndrome. Primary caregivers reported on their child's sleep using the Sleep Disturbance Scale for Children (SDSC), as well as medical comorbidities and functional abilities. Multivariate linear and logistic regressions were used to examine the effects of these factors on SDSC t scores and a binary indicator, respectively for the relevant subscales. Receiving operating characteristic curves were generated for each logistic regression model to determine their ability to discriminate between poor and good sleep. Comorbidities rather than functional abilities were associated with poorer sleep. In particular, recurrent pain, frequent seizures, frequent coughing, constipation and prescription of sleep medications were associated with abnormal sleep across the entire sample, but predictors differed between diagnostic groups. The present study suggests that comorbidities are more strongly associated with quality of sleep than functional impairments. The present study provides new information on potential associations between frequent coughing, prescription sleep medications and sleep quality that should be further investigated.
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Affiliation(s)
- Melissa Gilbertson
- Centre for Sleep Science, School of Human Sciences, The University of Western Australia, Perth, WA, Australia
| | - Cele Richardson
- Centre of Sleep Science, School of Psychological Science, The University of Western Australia, Perth, WA, Australia
| | - Peter Eastwood
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Adelaide, SA, Australia
| | - Andrew Wilson
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.,Discipline of Paediatrics, School of Medicine, The University of Western Australia, Perth, WA, Australia.,Respiratory and Sleep Medicine, Perth Children's Hospital, Perth, WA, Australia
| | - Peter Jacoby
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Helen Leonard
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Jenny Downs
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.,Curtin School of Allied Health, Curtin University, Perth, WA, Australia
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5
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Williams K, Jacoby P, Whitehouse A, Kim R, Epstein A, Murphy N, Reid S, Leonard H, Reddihough D, Downs J. Functioning, participation, and quality of life in children with intellectual disability: an observational study. Dev Med Child Neurol 2021; 63:89-96. [PMID: 32862445 DOI: 10.1111/dmcn.14657] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/22/2020] [Indexed: 12/19/2022]
Abstract
AIMS To investigate associations between functioning, community participation, and quality of life (QoL) and identify whether participation mediates the effects of functioning on QoL. METHOD The caregivers of 435 children (211 females, 224 males; mean age 12y; SD 3y 11mo; age range 5-18y) with intellectual disability and autism spectrum disorder, cerebral palsy, Down syndrome, or Rett syndrome reported on their child's functioning (dependence for managing personal needs, mobility, communication, eye contact when speaking), frequency of participation, and QoL. Linear regression and mediation analyses were used to evaluate the relationships between child functioning, participation, and QoL. RESULTS Children with greater dependency for managing personal needs and limited eye contact when speaking experienced poorer QoL. Less impaired functioning was associated with more frequent participation, which, in turn, was associated with a 3-point gain in QoL for each additional point in frequency of participation (coefficient=2.67, 95% confidence interval 1.56-3.78). The effect of impaired functioning on QoL was partially mediated by participation in children with greater dependency in managing personal needs and those with mildly impaired communication. INTERPRETATION Greater levels of impairments with poorer functioning, notably a high level of dependence, were associated with poorer QoL. Poorer QoL can be partly explained by less frequent community participation.
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Affiliation(s)
- Katrina Williams
- Paediatric Education and Research, Monash University, Melbourne, Victoria, Australia.,Developmental Paediatrics, Monash Children's Hospital, Clayton, Victoria, Australia.,Developmental Disability and Rehabilitation Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Peter Jacoby
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Andrew Whitehouse
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Rachel Kim
- Department of Sociology, Princeton University, Princeton, NJ, USA
| | - Amy Epstein
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Nada Murphy
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Sue Reid
- Developmental Disability and Rehabilitation Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Helen Leonard
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Dinah Reddihough
- Developmental Disability and Rehabilitation Research, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.,Royal Children's Hospital, Parkville, Victoria, Australia
| | - Jenny Downs
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia.,School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia
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6
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Uljarević M, Cooper MN, Bebbington K, Glasson EJ, Maybery MT, Varcin K, Alvares GA, Wray J, Leekam SR, Whitehouse AJO. Deconstructing the repetitive behaviour phenotype in autism spectrum disorder through a large population-based analysis. J Child Psychol Psychiatry 2020; 61:1030-1042. [PMID: 32037582 DOI: 10.1111/jcpp.13203] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 12/13/2019] [Accepted: 12/18/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Restricted and repetitive pattern of behaviours and interests (RRB) are a cardinal feature of autism spectrum disorder (ASD), but there remains uncertainty about how these diverse behaviours vary according to individual characteristics. This study provided the largest exploration to date of the relationship between Repetitive Motor Behaviours, Rigidity/Insistence on Sameness and Circumscribed Interests with other individual characteristics in newly diagnosed individuals with ASD. METHOD Participants (N = 3,647; 17.7% females; Mage = 6.6 years [SD = 4.7]) were part of the Western Australian (WA) Register for ASD, an independent, prospective collection of demographic and diagnostic data of newly diagnosed cases of ASD in WA. Diagnosticians rated each of the DSM-IV-TR criteria on a 4-point Likert severity scale, and here we focused on the Repetitive Motor Behaviours, Insistence on Sameness and Circumscribed Interests symptoms. RESULTS The associations between RRB domains, indexed by Kendall's Tau, were weak, ranging from non-significant for both Circumscribed Interests and Repetitive Motor Behaviours to significant (.20) for Insistence on Sameness and Repetitive Motor Behaviours. Older age at diagnosis was significantly associated with lower Circumscribed Interests and significantly associated with higher Insistence on Sameness and Repetitive Motor Behaviours. Male sex was significantly associated with higher Repetitive Motor Behaviours but not Insistence on Sameness or Circumscribed Interests. CONCLUSIONS The pattern of associations identified in this study provides suggestive evidence for the distinctiveness of Repetitive Motor Behaviours, Insistence on Sameness and Circumscribed Interests, highlighting the potential utility of RRB domains for stratifying the larger ASD population into smaller, more phenotypically homogeneous subgroups that can help to facilitate efforts to understand diverse ASD aetiology and inform design of future interventions.
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Affiliation(s)
- Mirko Uljarević
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Melbourne, VIC, Australia.,Department of Psychiatry and Behavioural Sciences, School of Medicine, Stanford Autism Center, Stanford University, Stanford, CA, USA
| | - Matthew N Cooper
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Keely Bebbington
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Emma J Glasson
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Murray T Maybery
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Kandice Varcin
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Gail A Alvares
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - John Wray
- Child Development Service, WA Department of Health, Perth, WA, Australia
| | - Susan R Leekam
- Wales Autism Research Centre, School of Psychology, Cardiff University, Cardiff, UK
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7
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Alvares GA, Bebbington K, Cleary D, Evans K, Glasson EJ, Maybery MT, Pillar S, Uljarević M, Varcin K, Wray J, Whitehouse AJO. The misnomer of ‘high functioning autism’: Intelligence is an imprecise predictor of functional abilities at diagnosis. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2019; 24:221-232. [DOI: 10.1177/1362361319852831] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
‘High functioning autism’ is a term often used for individuals with autism spectrum disorder without an intellectual disability. Over time, this term has become synonymous with expectations of greater functional skills and better long-term outcomes, despite contradictory clinical observations. This study investigated the relationship between adaptive behaviour, cognitive estimates (intelligence quotient) and age at diagnosis in autism spectrum disorder. Participants ( n = 2225, 1–18 years of age) were notified at diagnosis to a prospective register and grouped by presence ( n = 1041) or absence ( n = 1184) of intellectual disability. Functional abilities were reported using the Vineland Adaptive Behaviour Scales. Regression models suggested that intelligence quotient was a weak predictor of Vineland Adaptive Behaviour Scales after controlling for sex. Whereas the intellectual disability group’s adaptive behaviour estimates were close to reported intelligence quotients, Vineland Adaptive Behaviour Scales scores fell significantly below intelligence quotients for children without intellectual disability. The gap between intelligence quotient and Vineland Adaptive Behaviour Scales scores remained large with increasing age at diagnosis for all children. These data indicate that estimates from intelligence quotient alone are an imprecise proxy for functional abilities when diagnosing autism spectrum disorder, particularly for those without intellectual disability. We argue that ‘high functioning autism’ is an inaccurate clinical descriptor when based solely on intelligence quotient demarcations and this term should be abandoned in research and clinical practice.
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Affiliation(s)
- Gail A Alvares
- Telethon Kids Institute, The University of Western Australia, Australia
| | - Keely Bebbington
- Telethon Kids Institute, The University of Western Australia, Australia
| | - Dominique Cleary
- Telethon Kids Institute, The University of Western Australia, Australia
| | - Kiah Evans
- Telethon Kids Institute, The University of Western Australia, Australia
| | - Emma J Glasson
- Telethon Kids Institute, The University of Western Australia, Australia
| | - Murray T Maybery
- Telethon Kids Institute, The University of Western Australia, Australia
| | - Sarah Pillar
- Telethon Kids Institute, The University of Western Australia, Australia
| | | | - Kandice Varcin
- Telethon Kids Institute, The University of Western Australia, Australia
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8
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Abdullahi I, Wong K, Bebbington K, Mutch R, de Klerk N, Cherian S, Downs J, Leonard H, Glasson EJ. Diagnosis of Autism Spectrum Disorder According to Maternal-Race Ethnicity and Country of Birth: A Register-Based Study. J Autism Dev Disord 2019; 49:3611-3624. [DOI: 10.1007/s10803-019-04068-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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9
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Whitehouse AJ, Cooper MN, Bebbington K, Alvares G, Lin A, Wray J, Glasson EJ. Evidence of a reduction over time in the behavioral severity of autistic disorder diagnoses. Autism Res 2017; 10:179-187. [DOI: 10.1002/aur.1740] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 11/16/2016] [Accepted: 12/15/2016] [Indexed: 11/09/2022]
Affiliation(s)
- Andrew J.O. Whitehouse
- Telethon Kids Institute, The University of Western Australia; 100 Roberts Rd Subiaco 6009 Western Australia Australia
| | - Matthew N. Cooper
- Telethon Kids Institute, The University of Western Australia; 100 Roberts Rd Subiaco 6009 Western Australia Australia
| | - Keely Bebbington
- Telethon Kids Institute, The University of Western Australia; 100 Roberts Rd Subiaco 6009 Western Australia Australia
| | - Gail Alvares
- Telethon Kids Institute, The University of Western Australia; 100 Roberts Rd Subiaco 6009 Western Australia Australia
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia; 100 Roberts Rd Subiaco 6009 Western Australia Australia
| | - John Wray
- Child Development Service, WA Department of Health; 4-16 Rheola Street West Perth 6005 Western Australia Australia
| | - Emma J. Glasson
- Telethon Kids Institute, The University of Western Australia; 100 Roberts Rd Subiaco 6009 Western Australia Australia
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10
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El Gohary TM, El Aziz NA, Darweesh M, Sadaa ES. Plasma level of transforming growth factor β 1 in children with autism spectrum disorder. ACTA ACUST UNITED AC 2015. [DOI: 10.1016/j.ejenta.2014.12.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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11
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Parner ET, Thorsen P, Dixon G, de Klerk N, Leonard H, Nassar N, Bourke J, Bower C, Glasson EJ. A comparison of autism prevalence trends in Denmark and Western Australia. J Autism Dev Disord 2012; 41:1601-8. [PMID: 21311963 DOI: 10.1007/s10803-011-1186-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Prevalence statistics for autism spectrum disorders (ASD) vary widely across geographical boundaries. Some variation can be explained by diagnostic methods, case ascertainment and age at diagnosis. This study compared prevalence statistics for two distinct geographical regions, Denmark and Western Australia, both of which have had population-based registers and consistent classification systems operating over the past decade. Overall ASD prevalence rates were higher in Denmark (68.5 per 10,000 children) compared with Western Australia (51.0 per 10,000 children), while the diagnosis of childhood autism was more prevalent in Western Australia (39.3 per 10,000 children) compared with Denmark (21.8 per 10,000 children). These differences are probably caused by local phenomena affecting case ascertainment but influence from biological or geographical factors may exist.
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Affiliation(s)
- Erik T Parner
- Institute of Public Health, Department of Biostatistics, University of Aarhus, Aarhus, Denmark
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12
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Dyck MJ, Piek JP, Patrick J. The validity of psychiatric diagnoses: the case of 'specific' developmental disorders. RESEARCH IN DEVELOPMENTAL DISABILITIES 2011; 32:2704-2713. [PMID: 21705192 DOI: 10.1016/j.ridd.2011.06.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2011] [Accepted: 06/02/2011] [Indexed: 05/31/2023]
Abstract
We tested whether developmental coordination disorder (DCD) and mixed receptive expressive language disorder (RELD) are valid diagnoses by assessing whether they are separated from each other, from other childhood disorders, and from normality by natural boundaries termed zones of rarity. Standardized measures of intelligence, language, motor skills, social cognition, and executive functioning were administered to children with DCD (n = 22), RELD (n = 30), autistic disorder (n = 30), mental retardation (n = 24), attention deficit/hyperactivity disorder (n = 53) and to a representative sample of children (n = 449). Discriminant function scores were used to test whether there were zones of rarity between the DCD, RELD, and other groups. DCD and RELD were reliably distinguishable only from the mental retardation group. Cluster and latent class analyses both resulted in only two clusters or classes being identified, one consisting mainly of typical children and the other of children with a disorder. Fifty percent of children in the DCD group and 20% in the RELD group were clustered with typical children. There was no evidence of zones of rarity between disorders. Rather, with the exception of mental retardation, the results imply there are no natural boundaries between disorders or between disorders and normality.
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Affiliation(s)
- Murray J Dyck
- School of Psychology, Griffith University, Gold Coast 4222, Queensland, Australia.
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13
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Nassar N, Dixon G, Bourke J, Bower C, Glasson E, de Klerk N, Leonard H. Autism spectrum disorders in young children: effect of changes in diagnostic practices. Int J Epidemiol 2009; 38:1245-54. [PMID: 19737795 DOI: 10.1093/ije/dyp260] [Citation(s) in RCA: 103] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND It is unclear whether the increase in autism over the past two decades is a real increase or due to changes in diagnosis and ascertainment of autism spectrum disorders (ASDs), which include autism, Asperger syndrome and pervasive developmental disorder not otherwise specified (PDD-NOS). The aim of this study was to examine the trends in ASD over time in Western Australia (WA) and the possible effects and contribution of changes in diagnostic criteria, age at diagnosis, eligibility for service provision based on ASD diagnoses and changes in diagnostic practices. METHODS A population-based study was conducted among the cohort of children born in WA between 1983 and 1999 and diagnosed with ASD between the age of 2 and 8 years up to December 31, 2004. The trend in ASD diagnosis over the study period was assessed by investigating birth cohort and period effects, and examining whether these were modified by age of diagnosis. ASD diagnosis corresponding with changes in diagnostic criteria, funding and service provision over time were also investigated. A subgroup analysis of children aged <or=5 years was also conducted to examine trends in the incidence and age of diagnosis of ASD and intellectual disability (ID) and to investigate the role of changes in diagnostic practices. RESULTS The overall prevalence of ASD among children born between 1983 and 1999 and diagnosed by age 8 was 30 per 10,000 births with the prevalence of autism comprising 21 per 10,000 births. The prevalence of ASD increased by 11.9% per annum, from 8 cases per 10,000 births in 1983 to 46 cases per 10,000 births in 1999. The annual incidence of ASD, based on newly diagnosed ASD cases in each year from 1985 to 2002, increased over the study period. The increase in incidence of ASD appeared to coincide with changes in diagnostic criteria and availability of funding and services in WA, particularly for children aged <5 years. The age-specific rates of autism and PDD-NOS increased over time and the median age of diagnosis for autism decreased from 4 to 3 years of age throughout the 1990s. For children aged <or=5 years the incidence of ASD diagnosis increased significantly from 1992, with an average annual increase of 22%. Similar findings were found for autism. In the corresponding years the incidence of diagnosis of severe ID fell by 10% per annum and mild-moderate ID increased by 3% per annum. CONCLUSIONS The rise in incidence of all types of ASDs by year of diagnosis appears to be related to changes in diagnostic and service provision practices in WA. In children aged <or=5 years, diagnosis of severe ID decreased, but mild-moderate ID increased during the study period. A true increase in ASD cannot be ruled out.
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Affiliation(s)
- Natasha Nassar
- Telethon Institute for Child Health Research, Centre for Child Health Research, The University of Western Australia, West Perth, WA, Australia
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Williams K, MacDermott S, Ridley G, Glasson EJ, Wray JA. The prevalence of autism in Australia. Can it be established from existing data? J Paediatr Child Health 2008; 44:504-10. [PMID: 18564076 DOI: 10.1111/j.1440-1754.2008.01331.x] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
AIM To assess whether existing data collection mechanisms can provide accurate and sufficient information about the prevalence of autism in Australia. METHODS Summary data about the number of children aged 0-16 years known to have an autism spectrum disorder (ASD) were gathered from State and Territory health, disability, education sources and autism associations. Summary data were also provided by national sources. Initial contact was made by letter, and follow-up was undertaken by telephone or email. RESULTS For the years 2003-2004, the estimated prevalence of autism for 6- to 12-year-olds ranged from 9.6 to 40.8/10 000 for the State and Territory data, and from 12.1 to 35.7/10 000 for the national data. There was a similar variation in prevalence estimates for children aged 0-5 and 13-16 years. There was also a variation in prevalence estimates between age groups. CONCLUSION Inconsistencies in autism prevalence estimates calculated from existing data sources suggest that further efforts are needed to ensure the collection of reliable information about the prevalence of ASD for national, State and Territory use. Existing data systems need to be improved or additional data systems need to be developed to ensure the collection of reliable information. Reliable and consistent ASD prevalence data would ensure that services are being provided to those who need them and would enhance the opportunities to undertake meaningful population-based research.
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Glasson EJ, MacDermott S, Dixon G, Cook H, Chauvel P, Maley-Berg A, Wray J. Management of assessments and diagnoses for children with autism spectrum disorders: the Western Australian model. Med J Aust 2008; 188:288-91. [PMID: 18312193 DOI: 10.5694/j.1326-5377.2008.tb01623.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2007] [Accepted: 10/25/2007] [Indexed: 11/17/2022]
Abstract
Autism spectrum disorders (ASDs) are severe developmental conditions that require specialised intervention and lifelong support. Recent increases in ASD prevalence have prompted new initiatives in Western Australia to improve the consistency of assessments and to more accurately monitor diagnostic trends within the population. WA has implemented statewide guidelines for the assessment of ASDs, has developed an open forum for clinicians to discuss issues relating to the assessment process, and supports a statewide register of newly diagnosed cases. These initiatives have led to improved consistency across assessments, allowed analysis of diagnoses over time, and promoted cohesiveness among autism assessors. These strategies potentially provide an alternative model for other states and territories that wish to strengthen and assimilate ASD assessments.
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Affiliation(s)
- Emma J Glasson
- Telethon Institute for Child Health Research, School of Population Health, University of Western Australia, and Child and Adolescent Health Service, Princess Margaret Hospital for Children, Perth, WA, Australia.
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Sánchez-Valle E, Posada M, Villaverde-Hueso A, Touriño E, Ferrari-Arroyo MJ, Boada L, Martín-Arribas MC, Canal R, Fuentes-Biggi J. Estimating the Burden of Disease for Autism Spectrum Disorders in Spain in 2003. J Autism Dev Disord 2007; 38:288-96. [PMID: 17546489 DOI: 10.1007/s10803-007-0393-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2006] [Accepted: 05/03/2007] [Indexed: 11/29/2022]
Abstract
Autism Spectrum Disorders (ASD) are lifelong neurodevelopmental disabilities. Burden of Disease is an indicator that provides important information on health status and outcomes such as premature mortality and disability. In order to estimate the burden of disease of ASD in the Spanish population during 2003, we followed the procedures used in the WHO Global Burden of Disease Study. ASD generated 43,928 Disability Adjusted Life Years (DALY) in Spain in 2003, from which 33,797 were attributable to Autistic Disorder and 10,131 were caused by Asperger's Disorder and Pervasive Developmental Disorder-Not Otherwise Specified. DALY could be a useful tool for health policy makers for setting health service priorities, allocating available resources effectively and providing a comparable measure of output for early intervention.
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Affiliation(s)
- Elena Sánchez-Valle
- Rare Diseases Research Institute, Instituto de Salud Carlos III, Sinesio Delgado, 6, Madrid 28029, Spain
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Ouellette-Kuntz H, Coo H, Yu CT, Chudley AE, Noonan A, Breitenbach M, Ramji N, Prosick T, Bedard A, Holden JJA. Prevalence of Pervasive Developmental Disorders in Two Canadian Provinces. JOURNAL OF POLICY AND PRACTICE IN INTELLECTUAL DISABILITIES 2006. [DOI: 10.1111/j.1741-1130.2006.00076.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Dyck MJ, Piek JP, Hay D, Smith L, Hallmayer J. Are abilities abnormally interdependent in children with autism? JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2006; 35:20-33. [PMID: 16390300 DOI: 10.1207/s15374424jccp3501_3] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Abstract
We propose that stronger than usual correlations between abilities indicate which cognitive processes are impaired in autism. Study 1 compared partial correlations (controlling age) between intelligence and social cognition in children with autism (n = 18), mental retardation (MR; n = 34), or no psychological disorder (n = 37). Correlations were stronger in the autism group. Study 2 compared correlations between measures of perceptual organization and verbal comprehension, receptive and expressive language, fine and gross motor coordination, and theory of mind, emotion recognition, and emotion understanding abilities in children with autism (n = 30) or MR (n = 24) and in a large representative sample of children (n = 449). Results indicate that autism is marked by stronger correlations between all ability domains, and MR is marked by stronger correlations between motor coordination tasks and other ability measures.
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Affiliation(s)
- Murray J Dyck
- School of Psychology, Griffith University, Queensland, Australia.
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Badawi N, Dixon G, Felix JF, Keogh JM, Petterson B, Stanley FJ, Kurinczuk JJ. Autism following a history of newborn encephalopathy: more than a coincidence? Dev Med Child Neurol 2006; 48:85-9. [PMID: 16417661 DOI: 10.1017/s001216220600020x] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/18/2005] [Indexed: 01/13/2023]
Abstract
Between June 1993 and December 1996, 276 term newborn infants with encephalopathy and 564 randomly selected term controls were enrolled in a population-based study of moderate and severe term newborn encephalopathy (NE) in Western Australia. During comprehensive neurobehavioural and cognitive follow-up of all patients and controls at 3 years and again at 5 years of age we found an unexpected but strong association between NE and autism spectrum disorders (ASDs). A diagnosis of ASD by age 5 years was reached using criteria according of the Diagnostic Statistical Manual, 4th edition. Linking records to the Western Australian Disability Services Commission Register ensured that no child in the study with ASD was missed. By age 5 years, 37 (13.4%) infants with NE and one (0.2%) control had died. Among the 239 survivors of NE, 12 (5%) were diagnosed with an ASD. Of these, 10 (4.2%) met the full criteria for autism, one had pervasive developmental disorder-not otherwise specified, and one had Asperger syndrome. Among the 563 surviving controls, five (0.8%) were diagnosed with an ASD: three with autism, one with autism/possible Asperger syndrome, and one with Asperger syndrome. Compared with the controls, the children who had experienced NE were 5.9 times (95% confidence interval 2.0-16.9) more likely to have been diagnosed with an ASD.
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Affiliation(s)
- Nadia Badawi
- Department of Neonatology, The Children's Hospital at Westmead, University of Sydney, Australia
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Williams K, Glasson EJ, Wray J, Tuck M, Helmer M, Bower CI, Mellis CM. Incidence of autism spectrum disorders in children in two Australian states. Med J Aust 2005; 182:108-11. [PMID: 15698353 DOI: 10.5694/j.1326-5377.2005.tb06608.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2004] [Accepted: 12/10/2004] [Indexed: 11/17/2022]
Abstract
AIM To ascertain the incidence of autism spectrum disorders in Australian children. SETTING New South Wales (NSW) and Western Australia (WA), July 1999 to December 2000. DESIGN Data were obtained for WA from a prospective register and for NSW by active surveillance. MAIN OUTCOME MEASURES Newly recognised cases of autism spectrum disorders (defined as autistic disorder, Asperger disorder and pervasive developmental disorder not otherwise specified [PDD-NOS]) in children aged 0-14 years; incidence was estimated in 5-year age bands (0-4 years, 5-9 years, 10-14 years). RESULTS In WA, 252 children aged 0-14 years were identified with autism spectrum disorder (169 with autistic disorder and 83 with Asperger disorder or PDD-NOS). Comparable figures in NSW were 532, 400 and 132, respectively. Most children were recognised with autistic disorder before school age (median age, 4 years in WA and 3 years in NSW). Incidence of autistic disorder in the 0-4-years age group was 5.5 per 10,000 in WA (95% CI, 4.5-6.7) and 4.3 per 10,000 in NSW (95% CI, 3.8-4.8). Incidence was lower in older age groups. The ratio of all autism spectrum disorders to autistic disorder alone was 1.5:1 in WA and 1.3:1 in NSW, and rose with age (1.8:1 and 2.9:1 in 10-14-year-olds in WA and NSW, respectively). CONCLUSIONS These are the first reported incidence rates for autism for a large Australian population and are similar to rates reported from the United Kingdom. Ongoing information gathering in WA and repeat active surveillance in NSW will help to monitor any future changes.
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Glasson EJ, Wray J. Obtaining consent affects the value of the Western Australian autism register. Med J Aust 2004; 181:514-5. [PMID: 15516200 DOI: 10.5694/j.1326-5377.2004.tb06416.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2004] [Accepted: 08/24/2004] [Indexed: 11/17/2022]
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Icasiano F, Hewson P, Machet P, Cooper C, Marshall A. Childhood autism spectrum disorder in the Barwon region: a community based study. J Paediatr Child Health 2004; 40:696-701. [PMID: 15569287 DOI: 10.1111/j.1440-1754.2004.00513.x] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To establish a community database for children with autism spectrum disorder (ASD) to determine prevalence and identify subgroups based on key intellectual, clinical and family parameters. METHODS Data were collected for children previously diagnosed with an ASD in the Barwon region using parental interview and review of the child's paediatric and psychological records. Preschool diagnoses were typically made by specialist psychologists and school-age diagnoses made by a multidisciplinary team. RESULTS One hundred and seventy-seven children in the Barwon region were identified as having ASD (82% response rate). The prevalence of ASD was one per 255 children aged two to 17 years. The prevalence increased 10 fold over a 16-year period and this increase was relatively even across all levels of child intellectual functioning. Forty-two percent of children were intellectually disabled (IQ < 70) and performance IQ was significantly higher than verbal IQ but typical block design-comprehension subtest patterns were not common. Nine sibling pair families were identified, 24% were labelled as having attention deficit hyperactivity disorder (ADHD), 6% had epilepsy, and 18.3% were macrocephalic where data were available. Family difficulty was associated with the degree of obsessions/rituals, frequency and intensity of anger/aggression, and ADHD but overall was not associated with the child's intellectual status. CONCLUSIONS The relatively rapid increase in prevalence is consistent with overseas studies and suggests significant changes in diagnostic criteria, increasing community awareness and the need for support at all levels of intellectual functioning. Increased occurrence in siblings and relatives gives further evidence for a genetic cause.
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Affiliation(s)
- F Icasiano
- Barwon Child Health Unit, Department of Paediatrics, Barwon Health, Geelong, Victoria, Australia
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