Reading Comprehension Instruction for Students With Autism Spectrum Disorders

Objective. The purpose of the study was to compare the cerebral skills of young children diagnosed with autism spectrum disorder (ASD) to same-anile peers referred for possible developmental delays or behavioral concerns using the Bayley Scales of Infant Evolution-Third Edition. Method. A retrospective chart review was conducted of 147 children ages 16 to 38 months who were referred to a diagnostic dispensary for developmental evaluation. Children with ASD were compared to those without ASD with respect to cognition and linguistic communication outcomes, both overall and by historic period. Results. While linguistic communication skills in children with ASD were more significantly delayed than language skills in children without ASD, there was less discrepancy in the cognitive skills of children with and without ASD. Conclusion. Formal cerebral assessment of children with ASD can provide guidance for developmental expectations and educational programming. Cognitive skills of children with ASD may be underappreciated.

1. Introduction

The number of children diagnosed with autism spectrum disorder (ASD) has chop-chop increased in recent years. All-time estimate of electric current prevalence of children with ASD is merely over ane per 100 [i], and males are four times more likely to be diagnosed than females. Early on diagnosis is recommended for constructive intervention services for children and families. Comprehensive developmental cess may assist in differential diagnosis and educational programming. While the presence of linguistic communication delay has always been an essential component in the diagnosis of children with ASD, there has been less agreement on the cognitive ability of these children.

Autism was outset described by Kanner [ii], who observed a number of children with characteristics that included obsessiveness, stereotypy, and echolalia, but exhibited "good cerebral potentialities." Even in the children who had not developed language, Kanner noted an ability to perform tasks such as puzzles at or higher up age level. He reported, however, that "Binet or similar testing could not exist carried out because of express accessibility" [three].

The prevalence of intellectual disability (mental retardation or global developmental filibuster) in children with autism was estimated to exist ninety% before 1990 [4]. Prevalence studies since the yr 2000 report rates of comorbidity of intellectual disability and autism at approximately 50% [five]. While intellectual disability has never been a component of the diagnostic criteria for autism, an associated diagnosis of intellectual disability ranging from mild to profound was noted by the authors of the Diagnostic and Statistical Manual of Mental Disorder-Iv with lxx% to 75% of children having both [6]. Edelson [seven] conducted a systematic review of articles published between 1937 and 2003 that reported the prevalence of intellectual inability in children with autism at 75%. She voiced business regarding the quality of the data because the bulk of the empirical information was published 25 to 45 years ago.

Expanded definitions of the autism spectrum have included children without intellectual disability, and ASD now includes the subgroups of autistic disorder, Asperger syndrome, and pervasive developmental disorder [8]. Recent manufactures emphasize diagnosis of a spectrum rather than distinct subtypes every bit beingness more appropriate [nine]. For example, a study by Mayes and Calhoun questioned the validity of using knowledge to distinguish between children with autism and Asperger syndrome [ten].

Since the DSM-Four and inclusion of a broader definition of children with ASD, more studies have been conducted looking at the developmental profiles of children with this disorder, including their IQ, motor, and language skills. In her review, Edelson [7] found that when studies used developmental or adaptive scales, the prevalence rates of intellectual disability were higher than when measures testing IQ were used. Developmental scales assess the attainment of developmental milestones equally compared to aforementioned-anile peers and are different from measures of intelligence. Rogers [11] institute that low scores on developmental scales are not as predictive of later development in children with autism.

According to Mayes and Calhoun [12], 67% of preschool-anile children with autism had normal motor milestones but delayed speech milestones. While the preschool-aged children in their written report demonstrated a gap betwixt verbal and nonverbal IQ scores, this gap airtight by the time the children were schoolhouse aged. In an earlier study, 33% of children with autism who had serial IQ testing at least ane year apart experienced an increase in IQ greater than xv points [13]. Meaning IQ increases have been reported for young children with ASD who receive intensive intervention [14–16].

The Bayley Scales of Infant Evolution—Third Edition [17] included a group of children with pervasive developmental disorder in the standardization process of special groups. Subjects were 70 children aged 16 to 42 months matched with a control group.

All composite and subtest scores for the PDD group were significantly lower that those obtained past children in the matched command grouping. Knowledge scores were one standard deviation lower for children in the PDD grouping, and language scores were even more significantly delayed than cognitive skills.

In summary, the power profiles of children with autism spectrum disorder accept been highly variable in old studies. In that location is express research on the comparison of the cerebral profiles of immature children with and without autism who are referred for language and behavioral concerns. To farther explore the cognitive profiles of children with and without autism spectrum disorder, the following inquiry questions were asked: how do the cognitive profiles of young children with ASD differ from aforementioned-aged children seen for developmental evaluation who do not have ASD? Do young children diagnosed with ASD have higher cerebral scores than language scores on a standardized assessment tool? Are there age, gender, and socioeconomic differences between the children with ASD and those without ASD with respect to cerebral abilities?

ii. Methods

2.one. Participants

This study was a retrospective chart review of children referred to the Kluge Children'south Rehabilitation Heart Baby and Young Child Dispensary for developmental cess during an xviii-month period in 2007 and 2008. A total of 147 children ages xvi to 38 months were included in the study, with a median age of 27 months. At that place were 107 males (73%) and 40 females (27%). Most of the children were referred to the diagnostic clinic by either their primary md or a family member and were seen for concerns regarding their development in areas such as language, behavior, possible autism, or global developmental delay.

Each child was seen by an early childhood special educator and a developmental pediatrician. The majority of the children were from central Virginia and surrounding areas. The family unit'southward wellness insurance status—whether they had public insurance (Medicaid) or private insurance—was used equally a proxy measure out of socioeconomic status (SES). During the clinic visit, each family unit reported whether the child was receiving early on intervention and/or therapy services, and the child was referred to appropriate services if they were not already enrolled in a local plan. The study was approved by the Human Investigation Committee of the University of Virginia.

2.2. Instrumentation

Each child was given the cerebral and language tests from the Bayley Scales of Babe Development—Third Edition (BSID-III) by a person certified in their administration. Other tests of the BSID-Iii such as fine and gross motor and social and adaptive tests were non administered during the dispensary visit due to fourth dimension constraints. The third edition of the BSID [17] was published in 2006, and items were based on developmental research and theory that typified normal evolution in children from birth to 42 months. The cognitive scale contains items that assess retentiveness, problem-solving, and counting skills. The linguistic communication scale evaluates both receptive and expressive language including the child'south understanding and use of words and gestures. The BSID-Three was standardized using a demographically stratified sample of 1700 children. While children are compared using blended scores, a developmental historic period equivalent of the total raw score tin can also be derived. The developmental age equivalent indicates the specific age a given subtest total raw score is typically obtained by well-nigh children.

For children referred for screening of possible autism spectrum disorder, the Childhood Autism Rating Scale (CARS) [xviii] was administered past observation and parental report. The CARS is a beliefs rating scale developed to assist in the diagnosis of children with autism. A four-point rating scale ranging from 1 (normal) to 4 (severe) on fifteen items yields a composite score ranking children as nonautistic, mild/moderately autistic, and severely autistic. The scale is used to detect and rate areas such as the child's relationship to people, ability to imitate, body and object utilize, sensory responses, accommodation to change, activity level, emotional responses, and verbal and nonverbal communication. A score of 30 meets criteria for ASD. The CARS is used frequently for diagnosis of ASD. Internal consistency of the CARS has been reported to be high, with a coefficient alpha of   .94 and average interrater reliability of  .71 [19].

All analyses were performed utilizing SAS Version 9.one; statistical significance was divers as a ๐‘ƒ -value < . 0 v . Overall comparisons betwixt the two groups (those with ASD versus those without ASD) were made via chi-square tests for categorical variables and ๐‘ก -tests for continuous outcomes. Linear models were fit to the cognition and language outcomes, with age and group (and their interaction) equally predictors. Comparisons between the two groups were and then fabricated at each of four standard ages (18, 24, thirty, and 36 months) based on estimates from these models.

3. Results

More than children referred to the diagnostic clinic were male (73%) than female. Socioeconomic condition every bit determined past public or private insurance was not significantly different for children with ASD and without ASD, although fewer children with ASD (26%) were insured by Medicaid than children without ASD (37%). Lx percent of the children referred to the dispensary were receiving early intervention and/or therapy services at the time of the clinic visit.

Of the 147 children referred to the clinic, 64 children were administered both the BSID-III and the CARS compared to 72 children who received only the BSID-III assessment considering they were not observed to exhibit any behavioral characteristics associated with ASD. There were 54 children who were diagnosed with ASD using the CARS criteria, with a college number of males (42) than females (12). In regards to the age of diagnosis of ASD, 42 were over 24 months of age and 12 were under 24 months of age. In addition, 11 children were uncooperative during the testing session in guild to complete the BSID-III tests and were not included in the analyses. These eleven children did receive a CARS evaluation past ascertainment and parental report. Of the 11, all simply one child met criteria for ASD.

The BSID-III cerebral and language composite scores were plant to be lower overall for children diagnosed with ASD than those without ASD. The mean cognitive blended score for children with ASD was about viii points lower than those without ASD ( ๐‘ƒ = . 0 0 0 six ). The hateful ASD language composite score was over xvi points lower ( ๐‘ƒ < . 0 0 0 i ). Developmental historic period equivalents were besides lower for children with ASD in cognitive, receptive, and expressive language (Table i).


Variable Overall Children with ASD Children without ASD ๐‘ƒ -value*

๐‘ 147 54 93
Categorical variables (%)
 Male 72.8% 77.8% 69.9% .3004
 Insured past Medicaid 33.six% 26.five% 37.4% .1995
Continuous variables (Mean ± SD)
 Age (months) 26.5 ± 5.4 27.vi ± v.1 25.9 ± five.6 .0730
 Cognitive composite score 87.5 ± 12.7 82.2 ± 12.iv ninety.1 ± 12.1 .0006
  Language composite score 76.three ± 13.4 65.iv ± 10.7 81.6 ± 11.2 <.0001
  Cognitive-DA 22.1 ± 5.2 twenty.ix ± 4.3 22.vii ± v.v .0579
  Receptive-DA 17.five ± 5.1 14.2 ± four.vi xix.1 ± iv.6 <.0001
  Express-DA 17.four ± 5.2 fourteen.3 ± five.6 18.8 ± v.9 <.0001

*Group comparisons were performed via chi-squared tests (categorical variables) and ๐‘ก -tests (continuous outcomes).
DA: developmental historic period equivalent.

Nonetheless, significant interactions existed between age and ASD condition with respect to the cognitive outcomes (interaction ๐‘ƒ < . 0 5 for both cognition outcomes). Significant cerebral differences between children with and without ASD were observed only for older children (over two years erstwhile) (Effigy 1). Children with ASD who were below 2 years of age demonstrated low-average to boilerplate cognitive skills while older children with ASD scored in the borderline or lower range for cognitive skills. The overall differences observed for the linguistic communication outcomes remained relatively consistent no matter the historic period (Figure two); no significant interactions between historic period and group were observed for these outcomes ( ๐‘ƒ > . 4 in all cases). Including gender in the model did not touch on the results.

4. Give-and-take

In the current written report, the majority of young children referred to a diagnostic clinic were able to receive a standardized assessment using the BSID-III, including children who were found to take characteristics of ASD. Equally seen in other studies, males were more likely to be diagnosed with ASD than females. While the cognitive skills of children with ASD were mostly lower than the children without ASD, many of the children with ASD scored in the average and low-average range in cognition. This relative strength in cognitive or nonverbal reasoning ability that is seen in children with ASD may provide valuable information for families or intervention agencies struggling to run into the needs of this challenging population.

For example, the assessment of cognitive skills by a standardized tool such every bit the BSID-Iii may assistance with hereafter prognosis. Harris and Handleman constitute that a higher IQ ( ๐‘€ = 7 8 ) and younger historic period ( ๐‘€ = 4 2 months) were both predictive of placement of children with ASD in a regular classroom rather than a special education classroom post-obit a preschool plan that provided treatment using intensive practical behavioral analysis (ABA) [xx]. Cognitive skills have been constitute to influence the age of diagnosis for ASD and the severity of autistic symptoms. Children with higher IQs are more likely to be identified at a later age [21]. Children with below normal IQs exhibit more than autistic symptoms overall, including more social bug [22].

An boosted finding in the current study was the discrepancy in the cerebral scores of children with ASD by age, with older children having lower cognitive scores than children beneath two years of age. I reason for the difference in cognitive scores between younger and older children with ASD may exist that the cognitive measure out of the BSID-III incorporates increasingly difficult verbal directions and responses for children 2 years of age and older. Language-based concepts, such as size and color bigotry and number concepts, are included in items on the cognitive test that are asked of older children. Children with ASD may take more difficulty providing the requisite verbal responses than their peers without ASD.

As would exist expected, children with ASD scored significantly lower in linguistic communication skills as a grouping than children without ASD. Individualized assessment of language skills may aid in selecting the appropriate communication approach to use with a child. The development of a functional advice arrangement [23] or augmentative advice systems involving signs or pictures are examples of effective strategies for children with ASD [24]. Joint attention training promotes both language and social skills development. A recent report demonstrated that articulation attention and play skills could be taught and would generalize beyond settings and people [25].

In that location is a growing consensus that critical components of an effective intervention program for children with ASD include early entry into a programme following diagnosis, inclusion of parent training, incorporation of a loftier degree of structure, implementation of strategies for generalization, and low student-to-teacher ratio including one-on-in one case [26]. Standardized assessment as a component of the diagnostic protocol may atomic number 82 to a match of a child's abilities with the almost effective intervention plan. Children with excellent visual discrimination and matching skills may benefit from the systematic education approach utilized by TEACCH (handling and pedagogy of autistic and related communication handicapped children) [27]. Parents with young children may feel most comfortable with the floor time arroyo of a relationship-based method [28].

Children who have difficulty approaching tasks may crave the intensive behavior methods of the ABA arroyo [15]. In a review of ABA studies, Baglio constitute that ABA handling resulted in consistent positive outcomes in a variety of areas including reduction in self-injurious behaviors and comeback in linguistic communication, academics, daily living, and social skills [29]. Intensive behavior training has been found to be more than effective than more than eclectic approaches [30]. While current treatment approaches differ in philosophy, they as well overlap in their incorporation of behavior management strategies and utilise of typical developmental milestones for curriculum evolution. Dempsey [31] recommended an individualized approach to educational strategies for children with autism.

Early on diagnosis and intervention services may help to ameliorate the parenting stress involved with having a child with ASD. Parents and siblings of children with ASD report experiencing more depression than those of typically developing children or even children with other disabilities [32]. Parenting a kid with autism who required special service needs was found to exist associated with stress [33]. A child's problems with regulation were associated with maternal stress while externalizing behaviors such every bit tantrums were associated with paternal stress [34].

Early identification of children with ASD will need to exist addressed past a variety of wellness care providers, including primary intendance physicians, pediatricians, and public health nurses. Referral for differential diagnosis should be completed every bit presently as concerns are raised. Considering of the ongoing needs of families with children with ASD, health care providers will demand to have knowledge regarding community resource that may exist able to assist the family including early intervention programs, early childhood special education programs through the local public schools, child and family counseling services, and parent back up groups.

five. Limitations of the Written report

The current study is limited by the retrospective nature of the data collection. The subjects were children who were referred to a diagnostic developmental dispensary and therefore may non represent a broader sample of the population. The assessment of the children was express to cognitive and language domains of the BSID-III so that other areas of development were not included that may accept been useful for instructional or diagnostic purposes. The children were seen but in one case past the educator so that longitudinal information was not available. The children were immature and may have significantly dissimilar developmental profiles in the future due to maturation or intervention. It should be noted that the educator conducting the evaluations is also one of the authors of this study.

half dozen. Conclusions

The current report constitute that immature children existence screened for possible ASD were able to be evaluated using a standardized measure out such as the BSID-Iii. Every bit observed in other studies, males were much more likely to be diagnosed with ASD than females. Children who were over two years of age were more likely to exist diagnosed with ASD and demonstrated lower cognitive scores than younger children or children without ASD. While the cerebral skills of children with ASD were slightly lower than children without ASD, specific abilities were observed that could be used to lucifer a kid's skills with treatment options. Language skills were significantly more than impaired and predictive of a diagnosis of ASD, but children without ASD too exhibited a loftier rate of language filibuster and would benefit from early intervention services. The developmental profiles from standardized assessments may exist used for referral to appropriate educational programs and provide valuable data for intervention strategies. While all children with language delays will benefit from referral to services, children with ASD will crave more intensive services tailored to their specific strengths and challenges.

Copyright © 2011 Carolyn Long et al. This is an open admission article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Source: https://www.hindawi.com/journals/aurt/2011/759289/

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