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      Autism Spectrum disorders (ASD) in South Asia: a systematic review

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          Abstract

          Background

          Autism spectrum disorders (ASD) are a group of complex neurodevelopmental disorders. The prevalence of ASD in many South Asian countries is still unknown. The aim of this study was to systematically review available epidemiological studies of ASD in this region to identify gaps in our current knowledge.

          Methods

          We searched, collected and evaluated articles published between January 1962 and July 2016 which reported the prevalence of ASD in eight South Asian countries. The search was conducted in line with the PRISMA guidelines.

          Results

          We identified six articles from Bangladesh, India, and Sri Lanka which met our predefined inclusion criteria. The reported prevalence of ASD in South Asia ranged from 0.09% in India to 1.07% in Sri Lanka that indicates up to one in 93 children have ASD in this region. Alarmingly high prevalence (3%) was reported in Dhaka city. Study sample sizes ranged from 374 in Sri Lanka to 18,480 in India. The age range varied between 1 and 30 years. No studies were found which reported the prevalence of ASD in Pakistan, Nepal, Bhutan, Maldives and Afghanistan. This review identifies methodological differences in case definition, screening instruments and diagnostic criteria among reported three countries which make it very difficult to compare the studies.

          Conclusions

          Our study is an attempt at understanding the scale of the problem and scarcity of information regarding ASD in the South Asia. This study will contribute to the evidence base needed to design further research and make policy decisions on addressing this issue in this region. Knowing the prevalence of ASD in South Asia is vital to ensure the effective allocation of resources and services.

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          Most cited references31

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          Prevalence of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2010.

          (2014)
          Autism spectrum disorder (ASD). 2010. The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system in the United States that provides estimates of the prevalence of ASD and other characteristics among children aged 8 years whose parents or guardians live in 11 ADDM sites in the United States. ADDM surveillance is conducted in two phases. The first phase consists of screening and abstracting comprehensive evaluations performed by professional providers in the community. Multiple data sources for these evaluations include general pediatric health clinics and specialized programs for children with developmental disabilities. In addition, most ADDM Network sites also review and abstract records of children receiving special education services in public schools. The second phase involves review of all abstracted evaluations by trained clinicians to determine ASD surveillance case status. A child meets the surveillance case definition for ASD if a comprehensive evaluation of that child completed by a qualified professional describes behaviors consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (including atypical autism), or Asperger disorder. This report provides updated prevalence estimates for ASD from the 2010 surveillance year. In addition to prevalence estimates, characteristics of the population of children with ASD are described. For 2010, the overall prevalence of ASD among the ADDM sites was 14.7 per 1,000 (one in 68) children aged 8 years. Overall ASD prevalence estimates varied among sites from 5.7 to 21.9 per 1,000 children aged 8 years. ASD prevalence estimates also varied by sex and racial/ethnic group. Approximately one in 42 boys and one in 189 girls living in the ADDM Network communities were identified as having ASD. Non-Hispanic white children were approximately 30% more likely to be identified with ASD than non-Hispanic black children and were almost 50% more likely to be identified with ASD than Hispanic children. Among the seven sites with sufficient data on intellectual ability, 31% of children with ASD were classified as having IQ scores in the range of intellectual disability (IQ ≤70), 23% in the borderline range (IQ = 71-85), and 46% in the average or above average range of intellectual ability (IQ >85). The proportion of children classified in the range of intellectual disability differed by race/ethnicity. Approximately 48% of non-Hispanic black children with ASD were classified in the range of intellectual disability compared with 38% of Hispanic children and 25% of non-Hispanic white children. The median age of earliest known ASD diagnosis was 53 months and did not differ significantly by sex or race/ethnicity. These findings from CDC's ADDM Network, which are based on 2010 data reported from 11 sites, provide updated population-based estimates of the prevalence of ASD in multiple communities in the United States. Because the ADDM Network sites do not provide a representative sample of the entire United States, the combined prevalence estimates presented in this report cannot be generalized to all children aged 8 years in the United States population. Consistent with previous reports from the ADDM Network, findings from the 2010 surveillance year were marked by significant variations in ASD prevalence by geographic area, sex, race/ethnicity, and level of intellectual ability. The extent to which this variation might be attributable to diagnostic practices, underrecognition of ASD symptoms in some racial/ethnic groups, socioeconomic disparities in access to services, and regional differences in clinical or school-based practices that might influence the findings in this report is unclear. ADDM Network investigators will continue to monitor the prevalence of ASD in select communities, with a focus on exploring changes within these communities that might affect both the observed prevalence of ASD and population-based characteristics of children identified with ASD. Although ASD is sometimes diagnosed by 2 years of age, the median age of the first ASD diagnosis remains older than age 4 years in the ADDM Network communities. Recommendations from the ADDM Network include enhancing strategies to address the need for 1) standardized, widely adopted measures to document ASD severity and functional limitations associated with ASD diagnosis; 2) improved recognition and documentation of symptoms of ASD, particularly among both boys and girls, children without intellectual disability, and children in all racial/ethnic groups; and 3) decreasing the age when children receive their first evaluation for and a diagnosis of ASD and are enrolled in community-based support systems.
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            Systematic review of prevalence studies of autism spectrum disorders.

            To quantitatively examine the influence of study methodology and population characteristics on prevalence estimates of autism spectrum disorders. Electronic databases and bibliographies were searched and identified papers evaluated against inclusion criteria. Two groups of studies estimated the prevalence of typical autism and all autism spectrum disorders (ASD). The extent of variation among studies and overall prevalence were estimated using meta-analysis. The influence of methodological factors and population characteristics on estimated prevalence was investigated using meta-regression and summarised as odds ratios (OR). Forty studies met inclusion criteria, of which 37 estimated the prevalence of typical autism, and 23 the prevalence of all ASD. A high degree of heterogeneity among studies was observed. The overall random effects estimate of prevalence across studies of typical autism was 7.1 per 10,000 (95% CI 1.6 to 30.6) and of all ASD was 20.0 per 10,000 (95% CI 4.9 to 82.1). Diagnostic criteria used (ICD-10 or DSM-IV versus other; OR = 3.36, 95% CI 2.07 to 5.46), age of the children screened (OR = 0.91 per year, 95% CI 0.83 to 0.99), and study location (e.g. Japan versus North America; OR = 3.60, 95% CI 1.73 to 7.46) were all significantly associated with prevalence of typical autism. Diagnostic criteria, age of the sample, and urban or rural location were associated with estimated prevalence of all ASD. Sixty one per cent of the variation in prevalence estimates of typical autism was explained by these models. Diagnostic criteria used, age of children screened, and study location may be acting as proxies for other study characteristics and require further investigation.
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              Mental disorders in Bangladesh: a systematic review

              Background Mental disorders constitute a major public health problem globally with higher burden in low and middle-income countries. In Bangladesh, systematically-collected data on mental disorders are scarce and this leaves the extent of the problem not so well defined. We reviewed the literature on mental health disorders in Bangladesh to summarize the available data and identify evidence gaps. Methods We identified relevant literature on mental disorders within Bangladesh published between 1975 and October, 2013 through a systematic and comprehensive search. Relevant information from the selected articles was extracted and presented in tables. Results We identified 32 articles which met our pre-defined eligibility criteria. The reported prevalence of mental disorders varied from 6.5 to 31.0% among adults and from 13.4 to 22.9% among children. Some awareness regarding mental health disorders exists at community level. There is a negative attitude towards treatment of those affected and treatment is not a priority in health care delivery. Mental health services are concentrated around tertiary care hospitals in big cities and absent in primary care. Conclusions The burden of mental disorders is high in Bangladesh, yet a largely unrecognized and under-researched area. To improve the mental health services in Bangladesh, further well-designed epidemiological and clinical research are needed.
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                Author and article information

                Contributors
                ddrhossain@yahoo.com
                soton73@gmail.com
                jalal29march@yahoo.com
                bap@agni.com
                msiqbal@icddrb.org
                razin.kabir@bracu.ac.bd
                imranahmed@bracu.ac.bd
                afzal.aftabm@gmail.com
                prangopal@gmail.com
                rabbanigolam33@gmail.com
                saimawazedhossain@gmail.com
                malabika@bracu.ac.bd
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                1 August 2017
                1 August 2017
                2017
                : 17
                : 281
                Affiliations
                [1 ]ISNI 0000 0001 0746 8691, GRID grid.52681.38, , James P. Grant School of Public Health, BRAC University, ; 68 Shahid Tajuddin Ahmed Sharani, Dhaka, Bangladesh
                [2 ]ISNI 0000 0004 0600 7174, GRID grid.414142.6, , Foundation for Advancement of Innovations in Technology and Health (faith), Bangladesh, ; Iqbal Road, Mohammadpur, Dhaka, 1207 Bangladesh
                [3 ]National Institute of Mental Health, Bangladesh (NIMH,B), Sher-E-Bangla Nagar, Dhaka, 1207 Bangladesh
                [4 ]National Institute of Neurosciences & Hospital, Bangladesh (NINS,B), Sher-E-Bangla Nagar, Dhaka, 1207 Bangladesh
                [5 ]Bangladesh Association of psychiatrists, National Institute of Mental Health, Bangladesh (NIMH,B), Sher-E-Bangla Nagar, Dhaka, 1207 Bangladesh
                [6 ]ISNI 0000 0004 0600 7174, GRID grid.414142.6, Nutrition and Clinical Services Division, , International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), ; 68 Shahid Tajuddin Ahmed Sharani, Mohakhali, Dhaka, 1212 Bangladesh
                [7 ]Shuchona Foundation, Bangabandhu Memorial Trust Building, 2nd floor, 8 Rd No 11, Dhaka, 1209 Bangladesh
                [8 ]ISNI 0000 0001 2034 9320, GRID grid.411509.8, , Bangabandhu Sheikh Mujib Medical University (BSMMU), ; Dhaka, 1000 Bangladesh
                [9 ]Neuro-Developmental Disability Protection Trust, Department of Social Services Building, Agargaon, Sher-e-Bangla Nagar, Dhaka, 1207 Bangladesh
                [10 ]Expert Advisory Panel on Mental Health; Global Autism Advocate, World Health Organization, Dhaka, Bangladesh
                [11 ]GRID grid.466907.a, National Advisory Committee for Autism and Neurodevelopmental Disorders, , Ministry of Health and Family Welfare, Government of Bangladesh, ; Dhaka, Bangladesh
                [12 ]ISNI 0000 0001 2190 4373, GRID grid.7700.0, Institute of Public Health, , University of Heidelberg, ; Im Neuenheimer Feld, Heidelberg, 69120 Germany
                Article
                1440
                10.1186/s12888-017-1440-x
                5563911
                28826398
                2e4f1288-0f8b-44ac-9463-374211c29648
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 2 May 2017
                : 23 July 2017
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Clinical Psychology & Psychiatry
                autism spectrum disorders,autism,south asia,prevalence,bangladesh,india,pakistan,nepal,sri lanka,bhutan,maldives,afghanistan

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