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Ghahari N, Hosseinali F, Cervantes de Blois CL, Alesheikh H. A space-time analysis of disparities in age at diagnosis of autism spectrum disorder: environmental and socioeconomic risk factors. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2021; 19:1941-1950. [PMID: 34900317 PMCID: PMC8617109 DOI: 10.1007/s40201-021-00746-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 10/04/2021] [Indexed: 06/14/2023]
Abstract
INTRODUCTION Early diagnosis of autism is a critical step for gaining early intervention. The earlier interventions begin, the greater chance to reduce symptoms of autism over the lifespan. Despite the improvement in early diagnosis, age at diagnosis varies by residential locations. In order to improve early screening services, this study aims to identify geographic clusters of early and late diagnosis of autism, in addition, it is aimed to compare cases inside the clusters with the rest of the province on characteristics and socioeconomic factors. MATERIALS AND METHODS Survey data were collected from 163 autistics born from 1996 to 2011 in Isfahan Province, Iran. As this study found diagnosis of autism occur at an earlier age among children, who on average every 2.5 months increased for each year of age, distance from regression line has been used to determine how early a case was diagnosed compared to other identified cases. After dividing cases into 5 classes based on their distances from the regression line, the ordinal based space-time scan statistic in SaTScan was used to identify geographic areas within specific time periods that have significantly elevated proportions of autistic children who received diagnosis at the earlier or later stages. RESULTS The space-time analysis identified two geographic areas that age of diagnosis was inconsistent with the overall study area, the first area has an early diagnosis in central part of Isfahan megacity between 1998 and 2006 (P = .001), the second area shows to have a late diagnosis centered by Najafabad from 2010 through 2015 (P = .007). CONCLUSIONS The result of our spatial analysis can be used to evaluate the performance of diagnosis services and additionally provide information to target specific at-risk population for further interventions.
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Affiliation(s)
- Nima Ghahari
- Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Lavizan, Tehran, 16785-163 Iran
| | - Farhad Hosseinali
- Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Lavizan, Tehran, 16785-163 Iran
| | - Chelsea L. Cervantes de Blois
- Department of Geography, Environment & Society, University of Minnesota Twin-Cities, 414 Social Science Building 267 19th Ave S, Minneapolis, MN 55455 USA
| | - Hessam Alesheikh
- Shahid Beheshti University of Medical Sciences, Velenjak St., Shahid Chamran Highway, Tehran, Iran
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Chericoni N, Balboni G, Costanzo V, Mancini A, Prosperi M, Lasala R, Tancredi R, Scattoni ML, Muratori F, Apicella F. A Combined Study on the Use of the Child Behavior Checklist 1½-5 for Identifying Autism Spectrum Disorders at 18 Months. J Autism Dev Disord 2021; 51:3829-3842. [PMID: 33394248 PMCID: PMC8510940 DOI: 10.1007/s10803-020-04838-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2020] [Indexed: 01/15/2023]
Abstract
The capacity of the Child Behavior Checklist 1½-5 (CBCL 1½-5) to identify children with autism spectrum disorder (ASD) at 18 months was tested on 37 children clinically referred for ASD and 46 children at elevated likelihood of developing ASD due to having an affected brother/sister. At 30 months the clinically referred children all received a confirmatory diagnosis, and 10 out of 46 siblings received a diagnosis of ASD. CBCL 1½-5 profiles were compared with a group of matched children with typical development (effect of cognitive level controlled for). The capacity of the CBCL 1½-5 DSM Oriented-Pervasive Developmental Problems scale to differentiate correctly between children diagnosed with ASD and children with typical development appeared dependent on group ascertainment methodology.
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Affiliation(s)
- Natasha Chericoni
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy.
| | | | - Valeria Costanzo
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy
| | - Alice Mancini
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy
| | - Margherita Prosperi
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy
| | - Roberta Lasala
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy
| | - Raffaella Tancredi
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy
| | | | - Filippo Muratori
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy
- University of Pisa, Pisa, Italy
| | - Fabio Apicella
- IRCCS Fondazione Stella Maris, Viale del Tirreno, 331, Calambrone, 56128, Pisa, Italy
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Autism Spectrum Disorders in Greece: Nationwide Prevalence in 10-11 Year-Old Children and Regional Disparities. J Clin Med 2020; 9:jcm9072163. [PMID: 32650567 PMCID: PMC7408756 DOI: 10.3390/jcm9072163] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 06/30/2020] [Accepted: 07/03/2020] [Indexed: 12/21/2022] Open
Abstract
Autism spectrum disorders (ASD) constitute a public health concern with increasing prevalence worldwide. We aimed to estimate prevalence and age at diagnosis in Greece, where no large-scale prevalence study has ever been conducted. Aggregate data were collected on ASD diagnoses by gender and calendar year of diagnosis up to 2019, for children born in 2008 and 2009, from the Centers for Educational and Counseling Support, which evaluate children to receive special educational support in school. Coverage was 87.1% of centers and 88.1% of schoolchildren born in 2008–9. ASD prevalence overall was 1.15% (1.83% males, 0.44% females; ratio 4.14:1), ranging from 0.59% to 1.50% in Greece’s 13 regions. In five regions, prevalence differed significantly between centers. Overall, only 3.8% of diagnoses were made before the fourth year after birth and 42.7% before the sixth year, with considerable variation between regions. Approximate mean age at diagnosis was six years and one month, and about three months earlier for girls than for boys. Our results provide evidence-based information to guide service planning and development at national and regional levels. Particular attention should be paid to smoothing out inequalities regarding service accessibility and provision. Emphasis should be given to earlier identification and diagnosis of ASD.
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Naheed A, Islam MS, Hossain SW, Ahmed HU, Uddin MMJ, Tofail F, Hamadani JD, Hussain AHME, Munir K. Burden of major depressive disorder and quality of life among mothers of children with autism spectrum disorder in urban bangladesh. Autism Res 2019; 13:284-297. [PMID: 31647184 DOI: 10.1002/aur.2227] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 10/02/2019] [Indexed: 12/14/2022]
Abstract
This cross-sectional study examined the burden of depression and quality of life (QoL) among mothers of children with autism spectrum disorder (ASD) attending six schools offering special educational services for children with ASD in urban Dhaka, Bangladesh. All consenting mothers were 18 years of age and older and met criteria for major depressive disorder (MDD) on the Structured Interview for DSM-V-TR Research Version-non patient edition administered by trained raters. QoL was assessed by the EuroQol five-dimensional standardized questionnaire. MDD was diagnosed in 45% of mothers and was proportionally higher among those who did not work outside the home, had no childcare support at home, expressed low level of satisfaction with the quality of providers when they had sought care for their children with ASD, and reported being recipient of negative attitudes from neighbors toward their children with ASD. QoL was negatively associated with MDD, mothers' illness, and low satisfaction with the health care providers for children with ASD, as well as experiencing a negative attitude by neighbors toward their children. QoL was positively associated with the reported family monthly income and improvement of the children with ASD on school attendance. The prevalence of MDD among mothers of children with ASD was high and associated with poor QoL. Integrating mental health services and supports for mothers in the ASD care of children is likely to address the high burden of depression they face, and improve their overall quality of life. Autism Res 2020, 13: 284-297. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The levels of depression were assessed among mothers of children with autism spectrum disorder (ASD) attending six schools offering special educational services for children with ASD in urban Dhaka, Bangladesh. Almost one in two mothers was found to have major depression. The quality of life of these mothers was generally poor. Integrating mental health services for mothers with ASD care in children is likely to address the burden of depression among the mothers of children with ASD and improve overall quality of life.
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Affiliation(s)
- Aliya Naheed
- Initiative for Non-Communicable Diseases, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Md Saimul Islam
- Initiative for Non-Communicable Diseases, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | | | - Helal Uddin Ahmed
- National Institute of Mental Health, Bangladesh (NIMH,B), Sher-E-Bangla Nagar, Dhaka, Bangladesh
| | - M M Jalal Uddin
- National Institute of Neurosciences & Hospital, Bangladesh (NINS,B), Sher-E-Bangla Nagar, Dhaka, Bangladesh
| | - Fahmida Tofail
- NCSD Administration, Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Jena Derakhshani Hamadani
- Maternal and Neonatal Health, Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - A H M Enayet Hussain
- Planning and Development, Director General of Health Services (DGHS), Dhaka, Bangladesh
| | - Kerim Munir
- Division of Developmental Medicine, Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.,Division of Developmental Medicine, Boston Children's Hospital and Department and Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
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Morales-Hidalgo P, Roigé-Castellví J, Hernández-Martínez C, Voltas N, Canals J. Prevalence and Characteristics of Autism Spectrum Disorder Among Spanish School-Age Children. J Autism Dev Disord 2019; 48:3176-3190. [PMID: 29696527 DOI: 10.1007/s10803-018-3581-2] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The present study aims to assess the prevalence of autism spectrum disorder (ASD) in preschool and school-age children following a two-phase procedure. The screening phase was performed on a sample of 5555 children taking into account parent and teacher information. The individual assessment included the ADI-R, ADOS-2 and Wechsler scales. The estimated prevalence was 1.55% in preschoolers and 1.00% in school-age children. Between 1.84 and 2.59% of the children exhibited subclinical diagnosis. The male-to-female ratio was around 4:1. Most of the children exhibited mild and moderate nuclear symptoms, and the girls showed less severe communication problems. Previous diagnosis was found in 62-71% of the children. Prevalence estimates are close to the 1% international ratings and much higher than previous national reports suggested.
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Affiliation(s)
- Paula Morales-Hidalgo
- Department of Psychology, Nutrition and Mental Health Research Group (NUTRISAM), Research Center for Behavioral Assessment (CRAMC), Universitat Rovira i Virgili, Ctra. Valls s/n, 43007, Tarragona, Spain
| | - Joana Roigé-Castellví
- Department of Psychology, Nutrition and Mental Health Research Group (NUTRISAM), Research Center for Behavioral Assessment (CRAMC), Universitat Rovira i Virgili, Ctra. Valls s/n, 43007, Tarragona, Spain
| | - Carmen Hernández-Martínez
- Department of Psychology, Nutrition and Mental Health Research Group (NUTRISAM), Research Center for Behavioral Assessment (CRAMC), Universitat Rovira i Virgili, Ctra. Valls s/n, 43007, Tarragona, Spain
| | - Núria Voltas
- Department of Psychology, Nutrition and Mental Health Research Group (NUTRISAM), Research Center for Behavioral Assessment (CRAMC), Universitat Rovira i Virgili, Ctra. Valls s/n, 43007, Tarragona, Spain
| | - Josefa Canals
- Department of Psychology, Nutrition and Mental Health Research Group (NUTRISAM), Research Center for Behavioral Assessment (CRAMC), Universitat Rovira i Virgili, Ctra. Valls s/n, 43007, Tarragona, Spain.
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Prevalence of Autism Spectrum Disorder in a large Italian catchment area: a school-based population study within the ASDEU project. Epidemiol Psychiatr Sci 2018; 29:e5. [PMID: 30187843 PMCID: PMC8061252 DOI: 10.1017/s2045796018000483] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
AIMS This study aims to estimate Autism Spectrum Disorders (ASD) prevalence in school-aged children in the province of Pisa (Italy) using the strategy of the ASD in the European Union (ASDEU) project. METHODS A multistage approach was used to identify cases in a community sample (N = 10 138) of 7-9-year-old children attending elementary schools in Pisa - Italy. First, the number of children with a disability certificate was collected from the Local Health Authority and an ASD diagnosis was verified by the ASDEU team. Second, a Teacher Nomination form (TN) to identify children at risk for ASD was filled in by teachers who joined the study and the Social Communication Questionnaire (SCQ) was filled in by the parents of children identified as positive by the TN; a comprehensive assessment, which included the Autism Diagnostic Observation Schedule-Second Edition, was performed for children with positive TN and SCQ⩾9. RESULTS A total of 81 children who had a disability certificate also had ASD (prevalence: 0.79%, i.e. 1/126). Specifically, 66 children (57 males and nine females; 62% with intellectual disability -ID-) were certified with ASD, whereas another 15 (11 males and four females; 80% with ID) were recognised as having ASD among those certified with another neurodevelopmental disorder. Considering the population of 4417 (children belonging to schools which agreed to participate in the TN/SCQ procedure) and using only the number of children certified with ASD, the prevalence (38 in 4417) was 0.86%, i.e. one in 116. As far as this population is concerned, the prevalence rises to 1% if we consider the eight new cases (six males and two females; no subject had ID) identified among children with no pre-existing diagnoses and to 1.15%, i.e., one in 87, if probabilistic estimation is used. CONCLUSIONS This is the first population-based ASD prevalence study conducted in Italy so far and its results indicate a prevalence of ASD in children aged 7-9 years of about one in 87. This finding may help regional, national and international health planners to improve ASD policies for ASD children and their families in the public healthcare system.
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