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國立臺灣大學醫學院職能治療學系暨研究所 碩士論文

Department of Occupational Therapy College of Medicine

National Taiwan University Master Thesis

自閉症障礙類群兒童重複行為的相關因子分析 The Correlates of Restricted and Repetitive Behaviors in

Children with Autism Spectrum Disorders

陳安如 An-Ju Chen

指導教授:曾美惠 博士 Advisor: Mei-Hui Tseng, Sc.D.

中華民國 102 年 6 月

June 2013

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致謝

非常感謝曾老師的指導,才能夠順利完成論文。謝謝老師給予的建議以及投 入很多心力協助修改論文,讓內容得以更加完整和流暢。感謝論文審查口委楊宗 仁老師以及林巾凱老師的每個提醒和建議。感謝所有協助收案的相關單位,臺大 醫院、署立台北醫院、雙和醫院、歐緹斯特診所、德上診所,謝謝這些小兒職能 治療的臨床老師大力相助,讓本研究能從更多管道招募到研究個案。謝謝所有參 與本研究的家長、老師和兒童,正是因為有您們的參與,才能讓本研究得以完成。

謝謝研究室的學姊們,中佩學姊、宜靜學姊、千瑀學姊、瑋齊學姊,不管是 在協助收案、討論統計執行方法、或是日常生活各種的打氣和支持,都非常感謝 妳們。也謝謝在研究所時,彼此加油打氣的學長姊和同學們,每當覺得要走不下 去時,有你們的陪伴,才能繼續前進。

碩班這兩年,讓我學到的不只是做研究的方法,還有很多待人處事方面的磨 練,這些更為重要。最後,最需要感謝的是我的家人們。

安如 謹致 民國一○二年七月

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自閉症障礙類群兒童重複行為的相關因子分析

中文摘要

研究背景與目的

自閉症障礙類群(Autism Spectrum Disorder, ASD)包括自閉症 (Autism)、亞斯 伯 格 疾 患 (Asperger’s Disorder) 及 其 他 未 註 明 之 廣 泛 性 發 展 疾 患 (Pervasive Developmental Disorder Not Otherwise Specified, PDD-NOS)。根據精神疾病診斷準 則 手冊 -第四版內文 革新版 (American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders, Fourth edition, Text Revision, DSM-IV-TR),

ASD 的三大診斷特徵分別為:社交能力缺損、溝通障礙和重複刻板的興趣。大約 有 90%-97%的自閉症障礙類群兒童有侷限與重複行為出現,侷限與重複行為是自 閉症障礙類群孩童的主要診斷之一,不僅影響孩童的學習、互動、更影響到各種 情境的參與。「國際健康功能與身心障礙分類 -兒童及青少年版」(International Classification of Functioning, Disability and Health for Children and Youth, ICF-CY) 包含健康狀況、身體功能與結構、活動、參與、情境因素(個人、環境),此參考架 構整合個人健康狀態在醫學與社會方面的觀點,說明疾病、功能、個人與環境間 互動的關係,不只是病理因素影響健康,且強調活動參與、情境因素的重要性。

過去有許多研究探討影響自閉症障礙類群兒童侷限與重複行為的因子,但是僅限 於 ICF-CY 其中的一、兩個領域。本研究目的,以 ICF-CY 為參考架構,探討學齡 前與國小低年級自閉症障礙類群兒童重複行為的相關因子,即依據文獻回顧結 果,自 ICF-CY 之身體功能與構造、活動及參與、環境及個人因素面向,各選出一 至二個過去研究中有顯著相關的相關因子作為獨立變項。研究假設為:這些選自 ICF-CY 各個面向的因子與自閉症障礙類群兒童的重複行為都有顯著相關。

研究方法

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共有八十六位自閉症障礙類群的兒童及其家長參與此研究,參與者轉介自發 展中心、職能治療診所、醫學中心的復健部、學校、自閉症家長協會及中華民國 自閉症基金會。本研究使用皮爾森(Pearson)相關和逐步多元線性迴歸分析,來探討 次領域重複行為以及整體重複行為的相關因子。依變項包含由家長填寫的「重複 行為量表」之重複行為總分,以及重複行為之五個次領域的分數:刻板行為、自 傷行為、強迫行為、儀式化與同一性行為及侷限興趣。獨立變項為依據文獻回顧 結果,以及 ICF-CY 架構,所選出可能之相關因子,包含年齡、自閉症嚴重程度、

感覺處理能力、表達性語言、接收性語言、適應行為、焦慮、親子關係及壓力。

結果

結果顯示,86 位個案平均月齡為 68.15 個月(標準差:15.60,範圍:37 到 105

個月),有 72 位男生 14 位女生,在重複行為量表的分數中顯示大部分(37.2-60.5%)

的填答分數集中在 0 分(從沒出現過此行為)到 1 分(出現過此行為,且是一個輕微 程度的問題)。皮爾森相關(Pearson correlation)顯示,整體重複行為量表分數,和嚴 重度(r =0.415, p <0.01)、表達性語言(r =-0.419, p <0.01)、接受性語言(r =-0.433, p

<0.01)、適應行為(r =-0.308, p <0.01)有顯著相關。逐步多元線性迴歸分析的結果顯 示,在整體的重複行為中,接收性語言和個案的年齡為顯著的相關因子,共解釋 20.9%的變異量。在刻板行為部分,接收性語言、年齡和適應行為是顯著的相關因 子,共解釋 42.2%的變異量。自傷行為與強迫行為,顯著的相關因子只有接收性語 言,對於兩個迴歸模型,分別解釋了 26.3%和 5.5%的變異量。儀式化與同一性行 為,及侷限興趣部分,則沒有顯著的相關因子。

結論

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此研究結果可以協助臨床工作者和照護者了解自閉症障礙類群兒童重複行為的相 關因子,即孩子的接收性語言、適應行為和年齡都是重複行為顯著的相關因子,

並且接受性語言是在不同重複行為次領域中最廣為出現的相關因子。即接收性語 言能力差、適應行為不好和年齡大重複行為越嚴重。本研究的結果能作為未來近 一步的實驗型研究,發展出有效的介入方式來降低自閉症障礙類群兒童的重複行 為。

關鍵字:自閉症障礙類群,侷限與重複行為,影響因子

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Abstract

Background

With a prevalence of more than 90% in both autism and PDD-NOS groups,

restricted and repetitive behaviors (RRBs) affect their participation and adaptive function. International Classification of Functioning, Disability, and Health- Children

and Youth version (ICF-CY) describes functioning from a holistic perspective,

including health condition, body functions and structures, activity, participation, and

personal and environmental factors. The ICF-CY provides a framework to describe limitations of children’s functioning and emphasizes the impact of the environmental

factors on functioning from a developmental perspective. Thus, the purpose of the study

was to identify correlates of RRBs in preschool and early elementary school children

with autistic spectrum disorder from a holistic perspective by considering the variables

from all dimensions of the ICF-CY framework.

Method

Eighty six children with autistic spectrum disorders were recruited from

developmental centers, departments of rehabilitation at medical centers and hospitals,

elementary schools. Children with identifiable neurological conditions and patient who

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was illiteracy or couldn't read Chinese were excluded. Restricted and repetitive

behaviors were measured by Repetitive Behavior Scale-Revised (RBS-R). A range of

possible correlates were including severity, sensory processing, expressive language,

receptive language, adaptive behavior, age, anxiety, and parent-child relationship quality.

Descriptive analysis was conducted for basic information and the observed variables.

Pearson correlation investigated the relationships between five subtypes of RRBs and

potential correlates. Six separate multiple linear regression models identified the

correlates of each subtype of RRBs, including Stereotypy, Self-injurious Behavior,

Compulsions, Rituals and Sameness, Restricted Interests, and overall restricted and

repetitive behaviors.

Results

A total of 86 children with autism spectrum disorder aged from 37 to 105 months

with 72 boys and 14 girls. The findings indicated that almost every subtype of RRBs

was centralized in lower score. Pearson correlations showed that overall RRBs were

significantly correlate with severity (r =0.415, p <0.01), expressive language (r =-0.419,

p <0.01), receptive language (r =-0.433, p <0.01), and adaptive behavior (r =-0.308, p

<0.01). The stepwise multiple linear regression model which explained 20.9% of the

variance revealed that receptive language and age of participants were significant

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correlates of overall RRBs. As for stereotypic behavior, the stepwise multiple linear

regression model showed that receptive language, age, and adaptive behavior were

significant correlates and accounted for 42.2% of the variance. Regarding self-injurious

behavior and compulsive behavior, the multiple stepwise linear regression model

revealed that receptive language was the only significant correlate explaining 26.3% and

5.5% of the variances respectively. As for ritualistic and sameness behavior and

restricted interests, no significant correlate was identified.

Conclusion

Knowledge of the correlates may help clinicians, parents, and school teachers

develop interventions targeted at the correlates in order to effectively reduce their RRBs.

Results of our study can serve as a basis for future experimental studies targeted at the

correlates to ameliorate restrictive and repetitive behaviors in children with ASD.

Keywords: Autism spectrum disorders, Restricted and repetitive behaviors, Correlates

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Table of Contents

Introduction ... 1

Literature review ... 5

Introduction to autism spectrum disorders ... 5

The diagnosis criteria of autism spectrum disorders ... 5

The prevalence of autism spectrum disorders ... 10

Restricted and repetitive behaviors ... 11

International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY) as a conceptual framework ... 12

The correlates of restricted and repetitive behaviors in children with autism spectrum disorders ... 13

The relationships between restricted and repetitive behaviors and factors in the dimension of health condition factors ... 14

Severity ... 14

The relationships between restricted and repetitive behaviors and factors in the dimension of body function and structures ... 15

Sensory processing ... 15

The relationships between restricted and repetitive behaviors and activity and participation factors ... 15

Language ... 16

Adaptive behavior ... 16

The relationships between restricted and repetitive behaviors and personal factors ... 17

Age-related differences ... 17

Gender-related differences ... 18

Anxiety ... 18

The relationships between restricted and repetitive behaviors and environmental factors19 Parent-child relationship quality ... 19

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Limitations of previous studies ... 20

Conclusion ... 21

Research purposes ... 22

Hypotheses of the study ... 23

Methods ... 24

Participants ... 24

Measures ... 24

The Measure of Restricted and Repetitive Behaviors ... 24

The Measure Related to Health Condition ... 25

The Measure Related to Body Function and Structures ... 26

The Measures Related to Activity and Participation ... 27

The Measures Related to Personal and Environmental factors ... 29

Procedure ... 31

Statistical analysis ... 32

Results ... 34

Discussion ... 37

Conclusion ... 42

Acknowledgements ... 43

Reference ... 44

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List of Tables

Table 1. Summary of Studies Investigating the Relationships Between Restricted and Repetitive Behaviors and Factors in ICF-CY ... 50 Table 2. Characteristics of Participants (N=86) ... 59 Table 3.The Descriptive Statistics on the Frequency of Occurrence for Each Item of Repetitive Behavior Scale-Revised ... 60 Table 4. Pearson Correlation Matrix of 5 subtypes of RRBs as measured by Repetitive Behavior Scale-Revised and Measures of Potential Correlates ... 63 Table 5. Stepwise Linear Regression Models of Restricted and Repetitive Behaviors Assessed by the Repetitive Behavior Scale-Revised (RBS-R) in Children with ASD ... 64

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List of Figures

Figure 1. The Possible Correlates of Restricted and Repetitive Behaviors in Children with Autism Spectrum Disorders Basing on Framework of the ICF-CY ... 65 Figure 2. The Flow Chart of The Procedure... 66 Figure 3. The Correlates of Restricted and Repetitive Behaviors in Children with Autism Spectrum Disorders Basing on The Results of The Study ... 67

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Introduction

Autistic spectrum disorders is a diagnosis group just like a spectrum ranging from

mild to severe, including autism, Asperger disorders, and PDD-NOS. According to

Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision

(DSM-IV-TR), individuals with autism spectrum disorder have qualitative impairment

in social interaction, qualitative impairments in communication, restricted, repetitive,

and stereotyped patterns of behavior, interests, and activities (American Psychiatric

Association, 2000). About 1 in 88 children have been identified with an autism

spectrum disorder (Centers for Disease Control, 2008; Prevention's Autism and

Developmental Disabilities Monitoring (ADDM) Network, 2012).

With a prevalence of more than 90% in both autism and PDD-NOS groups (Kim &

Lord, 2010), restricted and repetitive behaviors (RRBs) are classified by DSM-IV-TR

into four subtypes: (1) preoccupation with restricted interests; (2) nonfunctional routines

or rituals; (3) repetitive motor mannerisms; and (4) persistent preoccupation with parts

of objects. The two former subtypes are often defined as higher level repetitive

behaviors, and the other two as lower level repetitive behaviors (Turner, 1999).

Examples of RRBs may include flapping hands, flicking fingers in front of eyes, turning

in circles for repetitive motor mannerisms, preoccupation with a part of objects, such as

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flicking a rubber band or a paper, and routines and rituals representing insistence on

sameness. Children with ASD who manifest RRBs often have sensory processing

difficulties, poor language skills, lower adaptive behavior, and higher anxiety behaviors

(Gotham et al., 2013). These children with special needs would often cause tension

between parents and them (Baker, Seltzer, & Greenberg, 2011). RRBS also affect their

participation in daily life and adaptive function (Cuccaro et al., 2003; Leekam, Prior, &

Uljarevic, 2011).

International Classification of Functioning, Disability, and Health- Children and

Youth version (ICF-CY) is based on the International Classification of Functioning,

Disability, and Health (ICF) (WHO, 2001) which describes functioning from a holistic

perspective, i.e., health condition, body functions and structures, activity, participation,

and personal and environmental factors. The ICF-CY provides a framework to describe limitations of children’s functioning and the impact of contextual factors on functioning

in addition to health condition from a developmental perspective.

Despite the fact that many studies have investigated the correlates of RRBs in

individual with autism spectrum disorders (ASD), these studies only considered

variables from only one or two dimensions, for example, sensory processing

abnormalities (Boyd et al., 2010; Chen, Rodgers, & McConachie, 2009; Gabriels et al.,

2008; Joosten & Bundy, 2010) in the body function and structure domain, adaptive

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response (Cuccaro et al., 2003) and language skill (Ray-Subramanian & Ellis Weismer,

2012) in the activity domain, or gender-related differences in the personal factor

domain and diagnosis difference (Kozlowski & Matson, 2012) in health condition

domain. Furthermore, the age range of participants in the majority of previous studies is

wide, for example, from 3 to 21(Cuccaro et al., 2007), or from 8 to 20 years old (South,

Ozonoff, & McMahon, 2005). Results of these studies may not be applicable to children

at a specific age range.

Based on the ICF-CY model, factors in each dimension may correlate with health

condition (Simeonsson et al., 2003). Our study addressed the following research

question: Do the possible correlates from each ICF domain significantly contribute to

RRBs in children with ASD?

We hypothesized that the significant variables from each ICF domain would

correlate with each subtype of RRBs, i.e., stereotypic behavior, self-injurious behavior,

compulsive behavior, rituals and sameness behaviors, and restricted interests,

respectively and the significant correlates of the five subtypes of RRBs would

encompass all dimensions of the ICF-CY model.

Thus, the purpose of the study was to identify correlates of RRBs in preschool and

early elementary school children with autistic spectrum disorder from a holistic

perspective by considering the variables from all dimensions of the ICF-CY framework.

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The knowledge of the factors influencing RRBs will help clinicians to plan effective

intervention for children with autistic spectrum disorder.

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Literature review

Introduction to autism spectrum disorders

Autism spectrum disorders (ASDs) are lifelong disabilities, ranging from mild to

severe, consisting of autism, Asperger syndrome, and pervasive developmental disorder

not otherwise specified (PDD-NOS). The core symptoms include impairment in social

function, communication, resistance to environmental change or change in daily

routines, and engagement in repetitive activities and stereotyped movements.

The diagnosis criteria of autism spectrum disorders

299.00 Autistic Disorder

The American Psychiatric Association's Diagnostic and Statistical Manual-IV, Text

Revision (DSM-IV-TR) provides standardized criteria to help diagnose autism spectrum

disorders.

A. A total of six (or more) items from (1), (2), and (3), with at least two from (1), and

one each from (2) and (3):

(1) Qualitative impairment in social interaction, as manifested by at least two of the

following:

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(a) Marked impairment in the use of multiple nonverbal behaviors, such as

eye-to-eye gaze, facial expression, body postures, and gestures to regulate social

interaction

(b) Failure to develop peer relationships appropriate to developmental level

(c) A lack of spontaneous seeking to share enjoyment, interests, or achievements

with other people (e.g., by a lack of showing, bringing, or pointing out objects of

interest)

(d) Lack of social or emotional reciprocity

(2) Qualitative impairments in communication, as manifested by at least one of the

following:

(a) Delay in or total lack of, the development of spoken language (not accompanied

by an attempt to compensate through alternative modes of communication such as

gesture or mime)

(b) In individuals with adequate speech, marked impairment in the ability to

initiate or sustain a conversation with others

(c) Stereotyped and repetitive use of language or idiosyncratic language

(d) Lack of varied, spontaneous make-believe play or social imitative play

appropriate to developmental level

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(3) Restricted, repetitive, and stereotyped patterns of behavior, interests, and activities

as manifested by at least one of the following:

(a) Encompassing preoccupation with one or more stereotyped and restricted

patterns of interest that is abnormal either in intensity or focus

(b) Apparently inflexible adherence to specific, nonfunctional routines or rituals

(c) Stereotyped and repetitive motor mannerisms (e.g., hand or finger flapping or

twisting or complex whole-body movements)

(d) Persistent precoccupation with parts of objects

B. Delays or abnormal functioning in at least one of the following areas, with onset

prior to age 3 years: (1) social interaction, (2) language as used in social communication,

or (3) symbolic or imaginative play.

C. The disturbance is not better accounted for by Rett's disorder or childhood

disintegrative disorder.

299.80 Pervasive Developmental Disorder, Not Otherwise Specified (PDD-NOS)

This category should be used when there is a severe and pervasive impairment in the

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development of reciprocal social interaction or verbal and nonverbal communication

skills, or when stereotyped behavior, interests, and activities are present, but the criteria

are not met for a specific pervasive developmental disorder, schizophrenia, schizotypal

personality disorder, or avoidant personality disorder. For example, this category

includes "atypical autism" -presentations that do not meet the criteria for autistic

disorder because of late age of onset, atypical symptomatology, or sub-threshold

symptomatology, or all of these.

299.80 Asperger's Disorder (or Asperger Syndrome)

An Asperger/HFA screening tool must meet all six areas defined by the DSM-IV

description of Asperger Syndrome (A-F below) to qualify for a positive rating from

First Signs:

A. Qualitative impairment in social interaction, as manifested by at least two of the

following:

(1) Marked impairment in the use of multiple nonverbal behaviors, such as

eye-to-eye gaze, facial expression, body postures, and gestures to regulate social

interaction

(2) Failure to develop peer relationships appropriate to developmental level

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(3) A lack of spontaneous seeking to share enjoyment, interests, or achievements

with other people (e.g., by a lack of showing, bringing, or pointing out objects of

interest to other people)

(4) Lack of social or emotional reciprocity

B. Restricted, repetitive, and stereotyped patterns of behavior, interests, and activities,

as manifested by at least one of the following:

(1) Encompassing preoccupation with one or more stereotyped and restricted

patterns of interest that is abnormal either in intensity or focus

(2) Apparently inflexible adherence to specific, nonfunctional routines or rituals

(3) Stereotyped and repetitive motor mannerisms (e.g., hand or finger flapping or

twisting, or complex whole-body movements)

(4) Persistent preoccupation with parts of objects

C. The disturbance causes clinically significant impairment in social, occupational, or

other important areas of functioning.

D. There is no clinically significant general delay in language (e.g., single words used

by age 2 years, communicative phrases used by age 3 years).

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E. There is no clinically significant delay in cognitive development or in the

development of age-appropriate self-help skills, adaptive behavior (other than in social

interaction), and curiosity about the environment in childhood.

F. Criteria are not met for another specific pervasive developmental disorder or

schizophrenia.

The prevalence of autism spectrum disorders

From 2004 to 2010, among the 7 cities and 18 counties in Taiwan, the prevalence

rates for ASDs in the age groups 3–5 years, 6–11 years, 12–14 years, and 15–17 years

were 9.1–16.4/10,000, 11.2–25.3/10,000, 6.9–19.6/10,000, and 4.5–14.3/10,000,

respectively. The prevalence rates of all age groups generally increased over the years (p

< 0.01 for all age groups). From 2004 to 2010, there were more boy cases than girl

cases in each year, and the boy-to-girl ratio ranged from 6.14:1 to 6.60:1 (mean =

6.43:1)(Lai, Tseng, Hou, & Guo, 2012).

Autism and Developmental Disabilities Monitoring (ADDM) Network (2012), a

division of Centers for Disease Control and Prevention (CDC) in the US, released data

on the prevalence of ASD, indicating that about one in 88 eight-year old children have

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ASDs in multiple areas of the United States. Approximately 18.5 per 1,000 in boys and

3.9 per 1,000 in girls were identified as having ASDs. Comparison of 2008 findings

with earlier years indicated that an increase of 78% when the 2008 data were compared

with the data for 2002 (from 6.4 per 1,000 children aged 8 years in 2002 to 11.4 per

1,000 in 2008) (Baio, 2012). The reason for the increase in prevalence might be caused

by the differences in screening tools and diagnostic criteria (Sun & Allison, 2010).

Restricted and repetitive behaviors

Restricted and repetitive behaviors (RRBs), one of three core features of autism,

are classified by DSM-IV-TR into four subtypes: (1) preoccupation with restricted

interests; (2) nonfunctional routines or rituals; (3) repetitive motor mannerisms; and (4)

persistent preoccupation with parts of objects. Turner (1999) was the first one to classify RRBs into subcategories of “higher-level” and “lower-level” behaviors. The two former

subtypes are often defined as higher level repetitive behaviors, and the two others are

described together as lower level repetitive behaviors. As for higher-level behaviors,

routines and rituals represented insistence on sameness. With regard to lower-level

behaviors, they are more often manifested in younger and lower functioning children as

well as in children with intellectual disability or other brain-based impairments.(Leekam

et al., 2011) Examples of these higher-level RRBs may include preoccupation with a

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part of objects, such as flicking a rubber band or a paper, routines and rituals

representing insistence on sameness. As for lower-level RRBs, behaviors such as body

rocking, hands flapping, fingers flicking in front of eyes, or turning in circles are

common in ASDs. Prevalence rates of at least one of RRBs ranged from 96–100% and

90–97% by age cohorts (2-6 years old) for autism and PDD-NOS groups, respectively

(Kim & Lord, 2010). There are overlaps between each type of RRBs and vary in

complexity. RRBs are influenced by the developmental level of cognitive and

communicative abilities and may interfere with learning in school (Leekam et al., 2011).

All these behaviors are not always present in the same individual and are often not

stable over their life time. In fact, in the same individual with ASD, they may change

not only in quantity but also quality and type (Militerni, Bravaccio, Falco, Fico, &

Palermo, 2002). Although children with various developmental disorders manifest

RRBs, RRBs are more frequently seen in children with ASD.

International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY) as a conceptual framework

The World Health Organization’s International Classification of Functioning,

Disability, and Health (ICF) describes human functioning in terms of body functions

and structures (physiological functions and anatomical parts), activity (execution of a

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task or action), participation (involvement in a life situation), and contextual factors

(including personal factors and environmental factors). In October of 2007, the

International Classification of Functioning, Disability, and Health for Children and

Youth (ICF-CY) was published by the WHO. International Classification of Functioning,

Disability and Health for Children and Youth (ICF-CY) is based upon the framework of

the ICF and includes developmental aspects for children and youth. The ICF-CY is

designed to record the characteristics of developing child and the influence of his or her

surrounding environments.

Studies have shown that not only body function and structure but also contextual factors influence child’s functioning and development. For instance, the relationship

between mother and child is a critical environmental factor, and will influence the child

throughout his or her whole life (Simeonsson et al., 2003).

The correlates of restricted and repetitive behaviors in children with autism spectrum disorders

Many studies have investigated the factors associated with restricted and repetitive

behaviors. The factors were various including every dimension in the ICF-CY, ranging

from health condition factors to contextual factors.

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The relationships between restricted and repetitive behaviors and factors in the

dimension of health condition factors

Severity

Barrett et al. (2004) recruited 37 children with autism aged 4–7 years, and found

that the lower functioning children in their sample showed both the lowest level of

pragmatic language skills and the most severe and frequent RRBs. The limitation was

the small sample size (N=37)(Barrett, Prior, & Manjiviona, 2004). Hus et al. (2007)

collected 983 individuals, ages 4 to 52 years, with diagnoses of autism and ASDs. This

study described a complex set of relationships between repetitive sensory and motor

actions, verbal IQ, and verbal and nonverbal communication, with the lower functioning

group showing greater frequency of these low-level repetitive behaviors(Hus, Pickles,

Cook, Risi, & Lord, 2007). Bodfish et al. (2000) compared adults with mental

retardation with and without autism. The control group with mental retardation was

matched to the autism group in age, gender, and IQ. The autism group had significantly

greater severity ratings for compulsions, stereotypy, and self-injury. Repetitive behavior

severity was correlated to the severity of autism (Bodfish, Symons, Parker, & Lewis,

2000).

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The relationships between restricted and repetitive behaviors and factors in the

dimension of body function and structures

Sensory processing

Abundant research indicated abnormal sensory processing in the ASDs population.

Significant correlations were found between sensory abnormalities and RRBs(Boyd et

al., 2010; Boyd, McBee, Holtzclaw, Baranek, & Bodfish, 2009; Chen et al., 2009;

Gabriels et al., 2008; Joosten & Bundy, 2010). Gabriels et al. (2008) indicated children

with ASD with higher frequency of RRBs would have a higher rate of abnormal sensory

processing as measured by the Sensory Profile. Chen et al. (2009) found that significant

relationships were noted between the frequency and intensity of RRBs and both tactile

sensitivity and visual/ auditory sensitivity. Boyd et al. (2010) reported that a high level

of hyperresponsive behaviors predicted a high level of repetitive behaviors. These

findings provide evidence for the correlations between sensory processing difficulties

and RRBs in children with ASD.

The relationships between restricted and repetitive behaviors and activity and

participation factors

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Language

Ray-Subramanian et al. (2012) examined whether language skills and nonverbal

cognitive skills were associated with clinician-observed RRBs in a sample of 115 children with ASD at ages 2 and 3. By age 3, RRBs were significantly negatively

correlated with receptive and expressive language, as well as nonverbal cognitive skills.

Increases in receptive and expressive language from age 2 to 3 significantly predicted

decreases in RRBs (Ray-Subramanian & Ellis Weismer, 2012).

Adaptive behavior

Cuccaro et al. (2003) found a negative correlation between level of adaptive

behavior and repetitive sensory motor actions when examining the factor structure of

the Autism Diagnostic Interview-Revised (ADI-R) and the relationship between

identified factors and developmental level. Two factors were identified: Factor

1—repetitive sensory motor actions and Factor 2—resistance to change. Joosten et al.

(2010) used the Vineland Adaptive scale and Motivation Assessment Scale (MAS;

Durand & Crimmins, 1988) which is assessing the motivation for stereotypical

behaviors to investigate the difference in children with intellectual disability (ID) and

ASD. The results showed that children with ASD scoring lower in adaptive behavior

would have more tendencies to reveal the stereotypical behaviors (Joosten & Bundy,

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2010).

The relationships between restricted and repetitive behaviors and personal factors

Age-related differences

Esbensen et al. (2009) investigated age related differences in RRBs in 712 2- to

62-year-old individuals with ASD. The results indicated that older individuals tended to

exhibit fewer RRBs than younger individuals. Those individuals with ASD comorbid

with diagnosis of intellectual disability would have decreased RRBs with age. Scores of

all subscales of the RBS-R, such as restricted interests, stereotyped, ritualistic

compulsive, and self-injurious reduced with age (Esbensen, Seltzer, Lam, & Bodfish,

2009). Richler et al. (2010) indicated that repetitive sensory and motor behaviors

remained high across the age range of 2 to 9 and only decreased in children with higher

nonverbal IQ at age 9. In contrast, insistence on sameness behaviors started with lower

severity at age 2 years and high insistence on sameness scores were associated with

older ages and with milder social and communication impairments (Richler, Huerta,

Bishop, & Lord, 2010). Militerni et al. (2002), in a study with 2- to 4- and 7- to

11-year-old children with ASD, found that younger children displayed more motor and

sensory repetitive behaviors and older children had more complex behaviors, such as

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repetitive complex sequences and repetitive language (Militerni et al., 2002). Both

Richler et al. (2010) and Militerni et al. (2002) indicated that insistence on sameness

behaviors or more complicated repetitive behaviors were related to older children.

Richler et al. (2010) indicated that repetitive sensory and motor behaviors remain high

from the age of 2 to 9. However, the result of Militerni et al.’s (2002) study showed that

motor and sensory repetitive behaviors gradually decreased with age. The discrepancy

may be due to different measures used. Richler et al. (2010) used Autism Diagnostic

Interview–Revised revealed two RRB factors, i.e. repetitive sensorimotor (RSM) behavior and insistence on sameness (IS) behavior. As for Militerni et al.’s (2002) study,

presence of a repetitive behavior was screened for through parental interview by means

of a semi-structured, non-standardized questionnaire.

Gender-related differences

Kozlowski et al. (2012) investigated both group and gender differences in the rates

of stereotypic behaviors in 322 infants and toddlers who were classified into the autism,

PDDNOS, and typically developing groups. Results showed no significant gender

differences in the rates of stereotypic behaviors (Kozlowski & Matson, 2012).

Anxiety

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RRBs were triggered by intrinsic and extrinsic motivators in children with ASD.

Joosten et al. (2009) showed that anxiety was likely to be an intrinsic motivator whereas

escape and gaining a tangible object were the two most common extrinsic motivators

(Joosten, Bundy, & Einfeld, 2009). Gotham et al. (2013) explored the association

between anxiety and ASD symptoms; particularly the degree to which the relationship

was explained by insistence on sameness (IS) behaviors. Child Behavior Checklist

Anxiety Problems T-scores was used to measure anxiety. The results indicated that

higher anxiety was associated with higher overall RBS-R and sameness subscale scores

(Gotham et al., 2013).

The relationships between restricted and repetitive behaviors and environmental factors

Parent-child relationship quality

Positive family atmosphere may have positive effects on the child such as

ameliorating the autism symptoms and mitigating behavior problems. Smith et al. (2008)

recruited 149 families of adolescents and adults with ASD, and recorded their mother

and child relationship quality. The results indicated that high levels of relationship

quality was related to subsequent reductions in repetitive behaviors and behavior

problems (Smith, Greenberg, Seltzer, & Hong, 2008). Baker et al. (2011) also showed

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the same result. Participants were 149 families of children diagnosed with autism who

were between the ages of 10 and 22 years during the 3-year period examined. Mothers

reported on family adaptability, the mother–child relationship, their own depressive

symptoms, and the behavior problems of their children. The rating included of hurtful to

self, unusual or repetitive, withdrawn or inattentive, socially offensive, uncooperative,

hurtful to others, destructive to property, and/or disruptive. Testing of the path model

indicated high occurrence of behavior problems and maternal depression over time

(Baker et al., 2011).

Limitations of previous studies

The ICF-CY conceptual framework provides a new paradigm of human

functioning and disability, and it can be used to guide holistic and interdisciplinary

approaches to assessment and intervention (Simeonsson et al., 2003). Although there are

many studies investigating the correlates of RRBs in individual with ASD, some studies

only considered the domain of body functions and structures (Boyd et al., 2010; Chen et

al., 2009; Gabriels et al., 2008) and some studies only investigated contextual

factors(Baker et al., 2011; Kozlowski & Matson, 2012). There was no study examining

the potential correlates of RRBs considering variables from all domains of the ICF-CY,

i.e., body function and structures, activity and participation factors, and environmental

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factors, simultaneously. Furthermore, many previous studies recruited subjects with

ASD across a large age range. For example, South et al. (2005) recruited individuals

with ASD aged 8 to 20 years (South et al., 2005). Cuccaro et al. (2007) collected data

from individuals with ASDs aged 3 to 21. It would be difficult to apply the results to

children at a specific age (Cuccaro et al., 2007).

Conclusion

Previous studies manifested that restricted and repetitive behaviors negatively

related to language and adaptive behavior. Furthermore, RRBs are positively correlated

with severity, sensory processing abnormalities and anxiety of individuals with autism

spectrum disorder. The relationships between RRBs and age are still inconsistent.

In the domain of activity, receptive and expressive language skills were negatively

correlated with RRBs in children with ASD. Ray-Subramanian et al.’s (2012) study

recruited toddler only in 2 to 3 years old such that it was difficult to apply the results to

children in preschool or early school age for the later would have more challenge in

using language to interact with peers.

In the domain of participation, previous studies showed that adaptive behavior was

significantly, negatively related to RRBs in children with ASD (Cuccaro et al., 2003;

Joosten & Bundy, 2010). However, these studies recruited children with a large age

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band, from 3 to 21 years old, and did not consider comorbid situation in participants

(Cuccaro et al., 2003).

Regarding the personal factor, the relationship between age and RRBs in

children with ASD was still not consistent (Esbensen et al., 2009; Militerni et al., 2002;

Richler et al., 2010). Furthermore, RRBs were correlated with severity and anxiety in

children with ASD (Goldman et al., 2009; Joosten & Bundy, 2010). The interaction

quality between mother and children were negatively correlated with RRBs. Children

with ASD had better interaction with their mother would have lower RRBs (Baker et al.,

2011; Smith et al., 2008).

Few studies considered the factors in the environmental domains when examining

the correlates of RRBs in children ASD (Cuccaro et al., 2003; Richler et al., 2010;

Smith et al., 2008). These studies only considered variables in environmental factor and

body function and structures.

Despite the fact that many studies have investigated the correlates of RRBs in

individual with ASD, these studies only considered variables from only one or two

dimensions of the ICF-CY.

Research purpose

The purpose of the study was to identify the correlates of restricted and repetitive

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behaviors in preschool and early elementary school children with autism spectrum

disorder adopting the ICF-CY as a conceptual framework. The factors in all dimensions

of the ICF-CY were taken into account as potential correlates.

Hypotheses of the study

1. Autistic severity, sensory processing, expressive language, receptive language,

adaptive behavior, age, anxiety and patient-child relationship quality would

significantly correlate with overall RRBs as measured by Repetitive Behavior

Scale-Revised (RBS-R)

2. Autistic severity, sensory processing, expressive language, receptive language,

adaptive behavior, age, anxiety and patient-child relationship quality would

significantly correlate with five subtypes of RRBs, i.e., stereotypic behavior,

self-injurious behavior, compulsive behavior, rituals and sameness behaviors, and

restricted interests as measured by Repetitive Behavior Scale-Revised (RBS-R),

respectively.

3. The significant correlates of the five subtypes of RRBs (stereotypic behavior,

self-injurious behavior, compulsive behavior, rituals and sameness behaviors, and

restricted interests) would encompass all dimensions of the ICF-CY model.

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Methods

Participants

Eighty-six children with autistic spectrum disorders were recruited from

developmental centers, departments of rehabilitation at medical centers and hospitals,

elementary schools, and Autism Parents Association(自閉症家長協會) in northern

Taiwan as well as Autism Foundation of the Republic of China(中華民國自閉症基金 會). Children were included if (1) they were diagnosed as autism spectrum disorder by

psychiatrists; (2) they were preschoolers or early elementary school children; (3) their

primary caregivers gave informed consents. Children with identifiable neurological

conditions and parents who were illiterate or couldn't read Chinese were excluded.

Measures

The following measures were classified by the ICF-CY dimensions (Figure 1).

The Measure of Restricted and Repetitive Behaviors

Repetitive Behavior Scale-Revised (RBS-R):

The RBS-R is a questionnaire that assesses 43 discrete types of repetitive

behaviors across 6 subscales (Stereotypy, Self-injurious Behavior, Compulsions,

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Rituals, Sameness, and Restricted Interests). Scores for each item on the measure

range in 0 (behavior does not occur), 1 (behavior occurs and is a mild problem), 2

(behavior occurs and is a moderate problem), and 3 (behavior occurs and is a

severe problem). Lam et al. (2007) conducted a factor analysis (based on N = 320

caregivers of individuals with autism) resulting in a five-factor solution that was

clinically meaningful and statistically sound. Factor loadings ranged from 0.51 -

0.66, accounting for 47.5% of the variance; internal consistency of the scales

ranged from 0.78 - 0.91 and inter-rater reliability ranged from 0.57 - 0.73. The five-factor solution was deemed as most appropriate because they were easily

interpretable with good internal consistency, high item-total correlations, and reasonable fit as indicated by the RMSEA statistic. (Lam & Aman, 2007). In this

study we used the total score of the RBS-R, and the score of each subtypes based

on Lam et al.’s (2007) factor analysis as the dependent variable.

The Measure Related to Health Condition

Childhood Autism Rating Scale (CARS):

The CARS (Schopler, Reichler, DeVellis, & Daly, 1980) is a 15-item behavior

observational rating scale. The questionnaire is used for individuals 24 months of

age and above. In our study we adopted the method of observing children and

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interviewing with parents who are familiar with children. The CARS can help

clinicians to identify the severity of autism, total scores from normal (non-autistic)

to severely abnormal (severely autistic). The total CARS score for each child has a

possible range of from 15 to 60. A higher score (a score > 29.5) indicates more

severely autistic. The items in CARS contain social, language, and cognitive skills,

with each item having a continuum rating. It has short administration time (10-15

min) and value in screening to quickly identify children with autism. The reliability

is good with internal consistency of 0.94 and inter-rater reliability of 0.71(Schopler

et al., 1980).

The Measure Related to Body Function and Structures

Chinese version of the Short Sensory profile (SSP-C):

The SSP-C is a 35-item caregiver questionnaire which evaluates children’s

sensory processing and their response to sensory events in everyday life. The

questionnaire is used for children from 3 to 10 years of age. Caregivers give their

answers through a 5-point Likert scale (nearly never = 5, seldom = 4, occasionally

= 3, frequently = 2, almost always = 1). A higher score indicates better sensory

processing abilities (Tseng & Chen, 2008). Psychometric properties are detailed on

the user manual. The internal consistency of the SSP total and sections ranged from

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0.70 to 0.90. All the section and factor scores of the SP-C demonstrated significant

differences between children with and without ASD (Tseng & Chen, 2008). The

Chinese version SP demonstrated acceptable to good internal consistency (Cronbach’s α=.62 -.90), good test-retest reliability for total scores (ICC=.79), and

poor to good test-retest reliability for each section scores and each factor scores

(ICC=.44 - .90). In this study we used the total score of the SSP as a possible

correlate of the participation with ASD because it is the most sensitive indicator of

sensory dysfunction (Tomchek & Dunn, 2007).

The Measures Related to Activity and Participation

Psychoeducational Profile-3(PEP-3):

The PEP-3 is a norm-referenced scale measuring development and

maladaptive behavior in children with ASD between the developmental ages of 2

to 7.5 years(Schopler, Lansing, Reichler, & Marcus, 2004). The Performance

section is made up of 10 subtests: 6 that measure developmental abilities and 4 that

measure maladaptive behaviors. These subtests are combined to form 3

Composites: Communication, Motor and Maladaptive Behaviors. The Motor

Composite includes Fine Motor, Gross Motor, and Visual-Motor Imitation. The

Maladaptive Behavior composite contains Affective Expression, Social Reciprocity,

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Characteristic Motor Behaviors, and Characteristic Verbal Behaviors. The

Cognitive Verbal/Preverbal, Expressive Language and Receptive Language

subtests, which belong to the Communication Composite were used to measure

cognitive and language ability. The Expressive Language subtest (25 items)

measures naming ability, production of phrases, reading and counting ability, color

and letter naming, the ability to produce nouns, pronouns and age appropriate

syntax, the ability to express relations such as big and little, as well as some

pragmatic information such as the ability to state name and gender when asked and

the ability to use words and gestures to request help. The Receptive Language subtest (19 items) measures a child’s ability to understand communication through

activities such as pointing to body parts upon command, identifying shapes, letters,

and objects and demonstrating the ability to follow directions and respond to

gestures, understand action words and respond to wh- questions(Fulton &

D'Entremont, 2013). Test items on the Performance Scale are scored as Passing (2

points), Emerging (1 point) and Failing (0 points) depending on specific scoring

criteria prescribed in the administration guidelines. We used the raw score of

subtests of Expressive Language and Receptive Language in our study.

Vineland Adaptive Behavior Scales (VABS):

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Vineland Adaptive Behavior Scales are designed to assess adaptive behavior defined as ‘the individual’s performance in daily life activities necessary for

personal and social independence’. This scale contains four different domains of

adaptive behavior, i.e., Communication, Daily Living Skills, Socialization, and

Motor Skills. The VABS was administered through a semi-structured interview

with parents or caregivers (Sparrow et al., 1984). The VABS is a norm-referenced

test measuring adaptive behavior in domains of communication (receptive,

expressive, and written), daily living skills (personal, domestic, and community),

socialization (interpersonal relations, play and leisure time, and coping skills), and

motor skills (gross motor, fine motor). Each item is measured from 0 to 2 .The

Vineland Adaptive Behavior Scales was translated in Chinese by Wu et al. in 2004

and can be applied to caregivers who have children in three to twelve years old. We

used the total score in our study.

The Measures Related to Personal and Environmental factors

Child Behavior Checklist Chinese version (CBCL-C):

The CBCL is one of the most commonly used parent-report questionnaire that

assesses emotional and behavioral problems in children of 4-18 year-olds

(Achenbach, 1991). The CBCL was translated to the Chinese version (CBCL-C) by

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Huang, Chung, & Wang (1994). The CBCL-C includes 113 items to assess eight

narrow-band syndromes (Withdrawn, Somatic complaints, Anxious/Depressed,

Social problems, Thought problems, Attention problems, Delinquent behavior, and

Aggressive behavior) and two broad-band syndromes (internalizing and

externalizing behavior problems). The internalizing problems include Withdrawn,

Somatic complaints, and Anxiety/Depression. The externalizing problems include

Delinquent behavior and Aggressive behavior (Huang, et al., 1994). The test-retest

reliability is 0.51-0.74, and the internal consistency is 0.81-0.92 (Huang, et al.,

1994). The CBCL/1 1 /2 –5 also assesses emotional and behavioral problems for

toddlers and preschoolers ranging from 18 months to 5 years old. The internalizing

problems (36 items), consists of four syndrome subscales (Emotionally Reactive,

Anxious/Depressed, Somatic Complaints, and Withdrawn). The externalizing

problems (24 items), consists of two syndrome subscales (Attention Problems and

Aggressive Behavior). In our study, we used the Anxiety/Depression T score to

represent the degree of anxiety.

Parenting Stress Index-Short Form (PSI-SF):

The PSI-SF (Abidin, 1983; Loyd & Abidin, 1985) was designed to measure

the interactions between the parent and the child and assess stress in the

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parent-child relationship. It is a 36-item questionnaire that contains three subscales,

including parental distress, parent-child dysfunctional interaction, and difficult

child. It is a common screening tool used to assess stress experienced by parents of

a child with a disability. It identifies dysfunctional parenting and predicts the

potential for parental behavior problems and child adjustment difficulties within

the family system. While its primary focus is on the preschool child, the PSI can be

used with parents whose children are 12 years of age or younger. Each item were

rated from 1(strongly disagree) to 5(strongly agree). Thus, the total score ranges

from 36 to 180. The PSI-SF shows good reliability and validity (Reitman, Currier,

& Stickle, 2002).

Procedure

This study was approved by the Institute Review Board of National Taiwan

University Hospital. Children with autism spectrum disorder were recruited from

developmental centers, departments of physical medicine and rehabilitation at medical

centers and general hospitals, public elementary schools, Autism Foundation of the

Republic of China, and Autism Parents Association in Taipei City and New Taipei City.

Consent forms and a letter which explained the purpose of study were given to parents

with children with ASD. After getting parental consent form, we called the parent to

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schedule an assessment at School of Occupational Therapy, National Taiwan University.

At the beginning of the assessment, parent filled out the basic information

questionnaires and the Vineland Adaptive Behavior Scales (VABS). Researchers gave a

package of questionnaires to parents, including Repetitive Behavior Scale-Revised

(RBS-R), Chinese version of the Short Sensory profile (SSP-C), Child Behavior

Checklist (CBCL), and Parenting Stress Index-Short Form (PSI-SF). While parents

were filling out the basic information questionnaire and the VABS, the child was

evaluated by trained therapists using Psychoeducational Profile-3(PEP-3). The child

was also observed by another trained therapist using Childhood Autism Rating Scale

(CARS). Other questionnaires were taken home by parents. Parents would return the

completed questionnaires within one month (Figure 2).

Statistical analysis

Statistical analyses were performed using SPSS 17.0 software (Norusis, 2008;

Statistics, 2008). Two-sided p≦0.05 was considered statistically significant. Descriptive

analysis was conducted for basic information and the observed variables. We also used

Pearson correlation to investigate the relationships between five subtypes of RRBs and

potential correlates. We fitted six separate multiple linear regression models to identify

the correlates of each subtype of RRBs, including Stereotypy, Self-injurious Behavior,

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Compulsions, Rituals and Sameness, Restricted Interests, and overall restricted and

repetitive behaviors. The independent variables included expressive language and

receptive language as measured by the PEP-3, severity as measured by the CARS,

sensory processing as measured by the SSP-C, anxiety as measured by the CBCL,

adaptive behavior as measured by the VABS, and demographic data of children.

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Results

Descriptive statistics of demographic was shown in Table 2. A total of 86 children

with autism spectrum disorder aged from 37 to 105 months (mean: 68.15 months; SD:

15.60 months) with 72 boys and 14 girls. The majority of participants (73.3%) were

children with autism. The frequency of occurrence for each subtype of RRBs was

shown in Table 3. The findings indicated that almost every subtype of RRBs was

centralized in lower scores, except the restricted interests. Namely, the items described

RRBs rarely occur in our participants. For instance, the scores of most items

(37.2-60.5%) of Stereotypic Behavior were 0 , indicating that the behavior does not

occur, and the scores of a much higher percentage of items of Self-injurious Behavior

were 0 (41.9-84.9%). The score of overall restricted and repetitive behaviors was 0-129

in this questionnaire. However, our study showed that the score of overall RRBs was

just ranging from 2 to 63.

We used Pearson correlations to indicate the relationships between RRBs,

including Stereotypy, Self-injurious Behavior, Compulsions, Rituals and Sameness, and

Restricted Interests respectively and potential variables (Table 4). The findings showed

that overall RRBs were significantly correlated with severity (r=0.415, p<0.01),

expressive language (r =-0.419, p <0.01), receptive language (r =-0.433, p <0.01), and

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adaptive behavior (r =-0.308, p <0.01). As for the subtypes of RRBs, stereotypic

behavior and self-injurious behavior had the same significant correlates, i.e. severity,

expressive language, receptive language, and adaptive behavior. Compulsive behavior

was significantly correlated with expressive language and receptive language. However,

no significant independent variables correlated with ritual and sameness behavior and

restricted interests respectively.

Stepwise multiple linear regression analysis was conducted to investigate the

correlates of overall RRBs, stereotypic behavior, self-injurious behavior, compulsive

behavior, rituals and sameness behaviors, and restricted interests. The stepwise multiple

linear regression model for RRBs, as measured by the repetitive behavior scale-revised

(RBS-R)(Bodfish et al., 2000), revealed that receptive language and age of participants

were significant correlates of overall RRBs. The model explained 20.9% of the variance.

The score of overall RRBs was higher when the receptive language was poorer and the

age of participants with ASD was older. It indicated that children with delayed receptive

language skill had a high severity level of RRBs.

As for stereotypic behavior, the stepwise multiple linear regression model showed

that receptive language, age, and adaptive behavior were significant correlates and

accounted for 42.2% of the variance. The score of stereotypic behavior subscale was

higher when the score of receptive language was lower, participants were older, and the

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score of adaptive behavior was lower. That is, children with poorer receptive language

and worse adaptive behavior had higher stereotypic behavior. Furthermore, stereotypic

behavior increased when children with ASD were getting older.

Regarding self-injurious behavior, the multiple stepwise linear regression model

revealed that receptive language was the only significant correlate explaining 26.3 % of

the variance. The score of self-injurious behavior subscale was higher when the score of

receptive language was lower. It indicated that children who have poorer receptive

language had a higher level of severity of self-injurious behavior.

As regards compulsive behavior, the multiple stepwise linear regression model

indicated that receptive language was the only significant correlate and could explain

5.5% of the variance. The score of compulsive behavior subscale was higher when the

score of receptive language was lower. That is, children who have poorer receptive

language skill had a higher level of severity of compulsive behavior.

As for ritualistic and sameness behavior and restricted interests, no significant

correlate was identified.

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Discussion

This study considered variables from the entire scope of the ICF-CY when

investigating the correlates of RRBs in children with ASD. Our hypothesis was that

severity, sensory processing, expressive language, receptive language, adaptive behavior,

age, anxiety and patient-child relationship quality would significantly correlate with

overall RRBs. Results of this study partially support our hypotheses, i.e., only receptive

language, adaptive behavior, and child’s age being the significant correlates of RRBs

(Table 5 and Figure 3). Furthermore, our finding was consistent with previous studies

(Cuccaro et al., 2003; Delinicolas & Young, 2007; Kozlowski & Matson, 2012;

Ray-Subramanian & Ellis Weismer, 2012). For instance, Cuccaro et al. (2003) and

Joosten et al. (2010) indicated that children with ASD scoring lower in adaptive

behavior would be more likely to manifest repetitive sensory motor actions and

stereotypical behaviors (Cuccaro et al., 2003; Joosten & Bundy, 2010).The correlates of

each subtype of RRBs are somewhat similar. First, delayed receptive language skill is

the correlate for all the subtypes of repetitive behavior except for ritualistic and

sameness behavior and restricted interests. Second, adaptive behavior and age were the

significant correlates of stereotypic behavior.

Receptive language skill is in the area of activity in the ICF-CY. Results of our

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study lend partially support to previous study (Ray-Subramanian & Ellis Weismer,

2012). Ray-Subramanian et al. (2012) indicated receptive language skills were

negatively associated with RRBs at ages 2 and 3. In our study, receptive language skill

was the correlates of three subtypes of RRBs, i.e., stereotypic, self-injurious and

compulsive behaviors. Among them, receptive language skill was the only correlate of

two types of RRBs, i.e., self-injurious and compulsive behaviors. The findings from our

study suggest that the poorer the receptive language skill the severer the stereotypic behavior, self-injurious, and compulsive behaviors. The explanation may be that due to difficulty understanding others ’commands, children with ASD decreased their anxiety

by RRBs (Joosten et al., 2009; Leekam et al., 2011). Another explanation may be that

children with ASD indulged in the stereotypic behavior and compulsive behaviors to

decrease boringness (Leekam et al., 2011; Zentall & Zentall, 1983) .

The finding that adaptive behavior is the correlate of stereotypic behavior is

consistent with Cuccaro et al.’s study that children with ASD had poorer adaptive

behavior would have higher repetitive sensory motor actions(Cuccaro et al., 2003). The

reason may be that children with poor adaptive behavior may use repetitive sensory

motor actions or stereotypic behaviors as a coping strategy such as body rocking to

reduce anxiety (Leekam et al., 2011).

Our study showed that stereotypic behavior increased with age, a finding

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inconsistent with Esbensen et al.’s (2009) study which showed older participants

tended to exhibit fewer RRBs than younger participants. The discrepancy may probably

be due to differences in age range of participants. The age range of the participants in our study is from 3 to 9 but that of Esbensen et al.’s (2009) study is from 2 to 62. In

consistent with Militerni et al.’s (2002) and Richler et al.’s study (2010), our study

found that overall RRBs and stereotypic behavior increased with age. Militerni et al.’s (2002) study recruited individuals from age 2 to 4 and 7 to 11, and Richler et al.’s (2010)

study collected participants with the age range of 2 to 9. Our study also showed that

stereotypic behavior increased with age. Perhaps the RRBs gradually decrease in their

life span, but its prevalence remains high in preschool children and school children. The

stereotypic behavior may be a coping strategy for children with ASD to enable them to

either regulate high levels of arousal or to reduce anxiety (Leekam et al., 2011). Another

reason might be that the participants with older age in our study were more severe than

younger children.

It is interesting to note that no predictors entered into the models of restricted

interests, and ritual and sameness behavior respectively and both subtypes are

higher-level RRBs. A close examination of the data revealed that no variable was

significantly correlated with restricted interests, and ritual and sameness behavior in

Pearson correlation matrix. The correlates identified in previous studies such as adaptive

數據

Table 1. Summary of Studies Investigating the Relationships Between  Restricted and Repetitive Behaviors and Factors in ICF-CY
Table 4. Pearson Correlation Matrix of 5 subtypes of RRBs as  measured by Repetitive Behavior Scale-Revised and Measures of  Potential Correlates    Variable/RRBs  Overall  RBS-R  Stereotypic behavior Self-injurious behavior Compulsive behavior  Ritual and
Table 5. Stepwise Linear Regression Models of Restricted and  Repetitive Behaviors Assessed by the Repetitive Behavior  Scale-Revised (RBS-R) in Children with ASD
Figure 1. The Possible Correlates of Restricted and Repetitive  Behaviors in Children with Autism Spectrum Disorders Basing on  Framework of the ICF-CY
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