Abstract
Background
Repetitive behaviours are frequently observed in individuals with intellectual disability. The present study examined the profile, inter-correlations, and predictive correlates of repetitive behaviours in males with FXS, the leading inherited cause of intellectual disability. Specific child characteristics examined as predictors included: anxiety, nonverbal cognition, and autism social-affective symptomatology.
Method
Participants were 39 boys with FXS (aged 6–10 years). Repetitive behaviours were measured using the Repetitive Behavior Scale – Revised (RBS-R) – a 43-item caregiver-report measure normed on individuals with intellectual disability.
Results
Restricted Interests and Sensory Motor behaviours were reported as most problematic for this sample of boys, whereas Self-injurious behaviours were less problematic. All subscales of the RBS-R were significantly inter-correlated. Nonverbal IQ was negatively related, whereas anxiety and social affective symptoms of ASD were positively related, to scores for Restricted Interests. Anxiety was also positively related to scores for Compulsive behaviours and Ritualistic Sameness behaviours.
Conclusions
This study provides a preliminary description of repetitive behaviours in males with FXS, which may form the groundwork for future research.
1. Introduction
Repetitive behaviours refer to a broad heterogeneous category of behaviours characterised by the repetition of unvarying movements (Edwards et al. 2012), rigidity, and inappropriateness (Lewis & Kim 2009). Typically developing infants and young children commonly engage in repetitive behaviours and activities. In infancy, these behaviours take the form of banging, shaking, rocking, and mouthing (Thelan 1981; Lifter 2000). Typically developing toddlers frequently display action patterns characterised by ordering objects, attachment to favorite objects, and preferred routines for engaging in everyday activities. These types of ritualised behaviours, characterised by insistence on sameness and things being “just right”, commonly begin at about 14-months of age in typically developing children and decline by the age of 4 years (Evans et al. 1997; MacDonald et al. 2007). During this developmental period, these behaviours are presumed to be functional by scaffolding the precision and efficiency of motor movements (Thelen 1981), facilitating the development of mastery motivation and self-regulation (e.g., Kopp 1982; Jennings 2002), or serving as a mechanism to alleviate anxiety (Evans et al. 1997).
If repetitive behaviours persist later on in development, there can come a time when the presence of these behaviours begins to impede day-to-day functioning by creating a barrier to learning and social interaction (Leekam et al., 2011). In fact, repetitive behaviours are frequently observed in a wide range of developmental (e.g., intellectual and developmental disabilities, autism spectrum disorder) and psychiatric (e.g., schizophrenia, obsessive-compulsive disorder) conditions (e.g., Parkinson disease). Motor stereotypies occur more frequently in younger and more developmentally delayed individuals with autism, whereas preoccupations, restricted interests, and obsessions are more often observed in individuals on the spectrum with higher language and cognitive abilities (Bishop et al. 2006; Richler et al. 2010).
Numerous behaviours are included in the broad umbrella of repetitive behaviour, including stereotypies, ritualistic behaviours, obsessive and compulsive behaviours, restricted interests, perseverations, and self-injurious behaviours. Furthermore, the likelihood of specific behaviours vary across disorders (Moss et al. 2009). Numerous categorisation approaches have also been utilised in the investigation of repetitive behaviours. Some researchers have argued for the use of broad categorical classifications (e.g., motorically-based behaviours and/or sensory behaviours and higher cognitively-based behaviours), whereas others have argued that these board categories may be too simplistic and mask more subtle, but important, differences in the topographies and functions of repetitive behaviours within and across disorders. For example, there are likely a variety of mechanisms (e.g., cognitive, communicative, anxiety) underlying the presence of repetitive behaviours, which impacts the management of these behaviours (Leekam et al., 2011). That is, repetitive behaviours that serve as a method of alleviating anxiety in one child likely warrants a different management approach than repetitive behaviours that serve as a method of obtaining a preferred object.
The current study was designed to describe patterns of repetitive behaviours in children with fragile X syndrome (FXS), the leading inherited cause of intellectual disability (Crawford et al. 2001). Clinical reports suggest repetitive behaviours are ubiquitous in males with the full mutation of this disorder, although these behaviours have not been thoroughly described or characterised. Given that the full mutation of FXS in males is also associated with high rates of intellectual disability, anxiety, and ASD symptoms (Hagerman 2006; Harris et al. 2008; Hessl et al. 2009; Cordeiro et al. 2011) the factors that drive the emergence of repetitive behaviours in FXS remain poorly understand. Clearly, there are many ways in which repetitive behaviours can be categorised in individuals with intellectual and development disabilities. Thus, it is important to acknowledge that any particular approach will affect the profile of repetitive behaviours obtained.
1.1 Fragile X Syndrome
It is estimated that 1 in 4,000 males and 1 in 6,000 to 8,000 females are affected with FXS (Centers for Disease Control and Prevention [CDC] 2011). FXS is caused by a mutation of the fragile X mental retardation 1 gene (FMR1; Verkerk et al. 1991) on the X-chromosome, and this mutation interferes with the production of the fragile X mental retardation protein (FMRP; Bell et al. 1991). The normal FMR1 allele is comprised of 5–54 CGG repeats. Individuals with the “full mutation” have expansions exceeding 200 repeats and typically display the FXS behavioural phenotype (Oostra & Willemsen 2003). Because it is an X-linked condition, FXS is more common in males than females, and males are more severely affected given the protective presence of an unaffected X chromosome in females (Crawford et al. 2001). Due to this difference in phenotypic expression, the current study focused only on males with FXS.
Although there is variability in the expression of behavioural symptoms in males with FXS, a specific behavioural phenotype is characteristically observed. Approximately 85% of males with full mutation FXS have IQs less than 70 (Hagerman 2006; Hessl et al. 2009). The majority of males with FXS also meet criteria for an anxiety disorder, including social phobias, generalised anxiety, and OCD (Hessl et al. 2008; Cordiero et al. 2011; Hall et al. 2012). In addition, males with FXS are likely to have delays, relative to age expectations, in multiple domains of language, including vocabulary, morphosyntax, and the functional use of conversational language for social communication (Abbeduto et al. 2007).
The limited evidence available suggests that the FXS phenotype is associated with increased risk for repetitive behaviours. Verbal perseveration is frequently described in males with FXS and considered by some researchers to be a hallmark feature of the behavioural phenotype of this disorder (Sudhalter et al. 1990; Abbeduto et al. 2007; Roberts et al. 2008). Compared to other syndromes, researchers have found elevated levels of other types of repetitive behaviours in males with FXS, including hand flapping, rocking, and self-injury (Hagerman 2002).
Although repetitive behaviours have been reported in FXS at a global level, there is limited research characterising the relative rates of different types of repetitive behaviours in FXS or exploring the mechanisms that underlie their development. Such research is important given that different subcategories of repetitive behaviour may have different neurobiological underpinnings and different behavioural correlates, with these differences affecting the potential efficacy of different behavioural or pharmacological treatments. Recently, Wolff and colleagues (Wolff et al. 2012) used the – RBS-R (Bodfish et al. 2000) to examine the profile of repetitive behaviours present in a group of 27 preschool-aged boys with FXS. Results indicated that ratings were highest for stereotyped and sameness behaviours and the lowest for compulsive, ritualistic and self-injurious behaviours.
Utilising the Repetitive Behavior Questionnaire (RBQ), which shares some individual items with the RBS-R, Moss and colleagues (2009) examined the presence of repetitive behaviours across six groups of individuals with intellectual disabilities including males with FXS who ranged in age from 6 to 47 years. Participants with FXS were reported to have significantly more repetitive behaviours than at least two other disability groups in the categories of compulsive behaviour, insistence on sameness, and repetitive speech. In terms of individual behaviour items, Moss and colleagues (2009) reported that males with FXS scored significantly higher than at least two other ID groups in hand stereotypies, tidying up, lining up, preference for routine, just right behaviours, and three types of verbal perseveration including restricted conversation, repetitive phrases and echolalia.
Because Wolff et al. examined repetitive behaviours in a very young group of children and Moss et al. included males with FXS who ranged in age from young childhood to adulthood, it is not yet clear whether the profile of repetitive behaviour in males with FXS remains stable across development or if it differs based upon an individual’s degree of delay. Furthermore, there remains much that we do not understand about the FXS behavioural phenotype, including the extent to which the different types of repetitive behaviours associated with FXS emerge from the same or different underlying mechanisms. The present study was designed to begin addressing these gaps by investigating the profile and potential predictors of repetitive behaviours in a group of school-aged boys with FXS.
1.2 Factors Relating to Repetitive Behaviours
Recent studies have shown that 25–60% of individuals with FXS meet criteria for ASD (e.g., Harris et al. 2008). Qualitatively, it is often the presence of repetitive behaviours that suggests overlap in the behavioural and neurobiological phenotypes of the two disorders (Kau et al. 2004; Baranek et al. 2005; Symons et al. 2010). However, there is growing evidence that the same behavioural symptoms in FXS and ASD may reflect different underlying mechanisms (Gallagher & Hallahan 2012; Wolff et al. 2012; McDuffie et al. 2014). This distinction is important given that behavioural and pharmacological treatments may fail to be effective across a range of disorders if underlying causes differ between disorders.
Indeed, Moss et al. (2009) found that, whereas individuals with FXS displayed the highest frequency and largest number of different topographies of repetitive behaviour relative to individuals with eight other low incidence neurodevelopmental disorders, only one individual item from the Compulsive subscale of the RBQ (Moss & Oliver 2008) was correlated with ASD symptomatology scores as measured by the Autism Screening Questionnaire (ASQ; Berument et al. 1999). This finding suggests that many repetitive behaviours commonly seen in FXS may not be associated with other symptoms of ASD. Consistent with this conclusion, other studies have found that many children with FXS present with compulsive or self-injurious behaviours, but show no other symptoms associated with a diagnosis of ASD (Hall et al. 2008; Symons et al. 2003). Furthermore, Wolff et al. (2012) found that both boys with FXS and boys with FXS+ASD had fewer compulsive and ritualistic behaviours than did young boys with nonsyndromic ASD. Taken together, these studies suggest that repetitive behaviours in FXS and nonsyndromic ASD may differ in extent and type and that ASD symptomatology may not be the primary risk factor for the development of repetitive behaviours in FXS.
Thus, it is important to consider factors beyond ASD when investigating the mechanisms underlying repetitive behaviours in FXS. For example, cognitive delays (Kover et al. 2013; Sansone et al., 2014) and anxiety (Cordeiro et al., 2011; Talisa et al. 2014), may be important risk factors for the development of at least some types of repetitive behaviours (Miguel et al. 1997; Gabriels et al. 2005). In the case of FXS, therefore, it is possible that high rates of repetitive behaviours covary with lower levels of cognitive functioning as well as with higher levels of anxiety and are orthogonal to the social-affective impairments at the core of an ASD diagnosis. Taken together, these findings suggest that individuals with FXS present with multiple risk factors for the development of repetitive behaviours and that there is a need to determine the correlates of these behavioural symptoms as a first step toward identifying underlying neurobiological mechanisms.
1.3 Research Questions
Given the cumulative impact of repetitive behaviours on participation in learning activities, acceptance by peers, and family functioning (Boyd et al. 2012), and the implications for treatment, the goal of the current study was to develop a more nuanced description of repetitive behaviours in school-aged males with the full mutation of FXS. To do this, we used the RBS-R to examine the profile, item level scores, subscale inter-correlations, and longitudinal correlates of repetitive behaviours. In particular, we were interested in examining whether nonverbal IQ, anxiety, and social-affective symptoms of ASD were predictively associated with the later presence of repetitive behaviours in this sample of children. The study addressed the following questions:
What is the profile of repetitive behaviours for boys with FXS?
What specific repetitive behaviours are most frequent for boys with FXS?
What are the inter-correlations among the categories of repetitive behaviours?
Which participant characteristics predict the various categories of repetitive behaviours later in development?
2. Method
2.1 Participants and Setting
Participants were 39 boys with FXS who ranged in age from 6;0 to 10;11 years (M = 7.41 years) at the initial time point and who participated in a larger, longitudinal project on early word learning. Although other papers have been published from this larger project (McDuffie et al. 2012; McDuffie et al. 2013; Oakes et al. 2013; Kover et al. 2014; McDuffie et al. 2014; Thurman et al. 2014), none has focused on the questions of interest in the present study. Participants were recruited nationally using a variety of sources, including postings to internet listservs and websites, newspaper advertisements, flyers at parent meetings, and a university research registry. Prior to participation, documentation confirming a diagnosis of the FMR1 full mutation through molecular genetic testing was provided for each participant. In addition, diagnosis was confirmed during the study through molecular genetic testing of peripheral blood samples (although testing was not done for 3 participants; 2 due to logistical reasons and 1 due to participant refusal of the blood draw). All participants met the following criteria: English as the native language, speech as the primary means of communication, no uncorrected sensory or physical impairments that would affect participation in the study, and no more than a mild hearing loss, all determined from caregiver report. Written consent was given by all caregivers prior to participation. Within the larger project, testing was implemented at two time points approximately 18 months apart. The Time 1 (T1) visit took place over three consecutive days and the Time 2 (T2) visit was completed in one day. All sessions were conducted at a university clinic. All assessments were administered by trained examiners.
For inclusion in the present study, participants had relevant data available for both T1 and T2. At T1, participants were administered measures of nonverbal cognitive ability (i.e., Leiter International Performance Scale – Revised (Roid & Miller 1997)), maladaptive behaviours (i.e., Anxiety, Depression, and Mood Scale (ADAMS; Esbensen et al. 2003)), and autism diagnostic assessments (i.e., Autism Diagnostic Observation Schedule [ADOS; Lord et al. 1999]. Two participants in the current study were unable to complete the Leiter-R; for these two participants, floor scores on the Leiter-R at their chronological age level were used. Participant characteristics are presented in Table 1. The Repetitive Behavior Scale-Revised (Bodfish et al. 2000) was administered at T2.
Table 1.
Participant characteristics at time 1 (n = 39).
| Mean | SD | |
|---|---|---|
| Chronological Agea | 7.41 | 2.03 |
| Nonverbal IQb | 59.26 | 14.90 |
| Anxietyc | 5.52 | 3.26 |
| Autism Symptom Severityd | 5.90 | 2.11 |
| Frequency | ||
| Caucasian | 32 | |
| Mothers with College Degreese | 33 | |
at T1;
brief IQ scores from the Leiter-R;
general Anxiety subscale from the ADAMS;
from the ADOS (Gotham, Pickles, & Lord, 2009);
missing for one participant
2.2 Measures
The Repetitive Behavior Scale – Revised (RBS-R; Bodfish et al. 2000) is a 43-item caregiver-report measure normed on individuals with intellectual disability. Each item is scored on a four-point Likert scale ranging from 0 (behaviour does not occur) to 3 (behaviour occurs and is a severe problem). Although there are many approaches to the measurement of repetitive behaviours in individuals with intellectual and development disabilities (i.e., RBQ; Moss et al., 2009), we utilized the RBS-R (Bodfish et al. 2000). The RBS-R has been widely used to characterise the presence of repetitive behaviours, particularly in individuals with autism symptomatology. Multiple studies have empirically evaluated the validity of the factor structure of the RBS-R (Lam & Amon 2007; Mirenda et al. 2010; Bishop et al. 2013; Harrop et al. 2014). Recently, Bishop and colleagues (2013) employed the largest sample to date in their examination of the RBS-R factor structure. Thus, we adopted the Bishop et al. (2013) 5 factor structure and item distribution in the current study. The 5 subscales included in the current study were: Sensory Motor, Restricted Interests, Self-injury, Compulsive, and Ritualistic/Sameness. The RBS-R was administered as the T2 outcome measure.
The Autism Diagnostic Observation Schedule (ADOS; Lord et al. 1999) is a semi-structured, direct assessment of communication, social interaction, play/imagination, and repetitive behaviours used to evaluate ASD symptoms. The ADOS was administered during the T1 visit by an examiner trained to research reliability standards. Calibrated severity scores (CSS) for the Social Affective (SA) domain of the ADOS (Hus et al. 2012) were used as a longitudinal predictor of repetitive behaviours at T2.
The Leiter International Performance Scale – Revised (Leiter-R; Roid & Miller 1997) Brief IQ screener (i.e., Figure Ground, Form Completion, Sequential Order, and Repeated Patterns subscales) was collected at the T1 visit. These subtests measure visualisation and fluid reasoning skills and yield a nonverbal IQ score, age-equivalent score, and growth score. The Leiter-R is administered in an entirely nonverbal manner and does not require any spoken or written output from the participant. The examiner uses pantomime and nonverbal cues to explain the task and participants respond by pointing or placing shapes or cards in a grid.
The Anxiety, Depression, and Mood Scale (ADAMS; Esbensen et al. 2003) is a 28-item caregiver-report measure. Five subscales are generated from the individual items: Manic/Hyperactive, Depressed Mood, Social Avoidance, General Anxiety, and Obsessive/Compulsive. The General Anxiety subscale of the ADAMS was used as the metric of anxiety for the current study. This scale was completed by caregivers during the T1 visit.
2.3 Analysis Plan
Mean subscale scores were used to address Research Questions 1, 3 and 4. Because the data violated the nonparametric assumption of normality, nonparametric analyses were used in the present project. A Friedman’s ANOVA was used to determine if repetitive behaviours differed as a function of RBS-R subscale. This analysis was followed-up with Wilcoxon rank sum tests to determine whether any between subscale differences were significant. We then descriptively examined caregiver ratings on the individual items within each subscale by graphing the percentage of caregivers who endorsed the presence of individual behaviours as being moderate to severe in nature. Finally, one-tailed Spearman rank correlations were used to evaluate the relations between the different subcategories of repetitive behaviours and to examine the predictive association between child characteristics at T1 and repetitive behaviours at T2. We predicted a negative association between T1 nonverbal IQ and T2 repetitive behaviours and positive correlations between anxiety and social affective symptoms of ASD at T1 and repetitive behaviours at T2.
3. Results
3.1 Profile of Repetitive Behaviour as Measured by the RBS-R
Caregiver ratings significantly differed as a function of RBS-R subscale, χ2 (4) = 55.67, p < .001(Figure 1). Wilcoxon tests revealed that Restricted Interests were rated as significantly more of a problem that Self-injury, Compulsive, or Ritualistic/Sameness behaviours (ps < .05). In addition, Sensory Motor behaviours were rated as significantly more of a problem than were Self-injurious or Compulsive behaviours. No other significant differences were observed across subscales.
Figure 1.

Mean rating scores for the five RBS-R subscales.
3.2 Item Level Examination of Repetitive Behaviours
We followed up these subscale-level findings with an item-level examination of individual repetitive behaviours (Figure 2; Table 2). Seven items were included within the Sensory Motor subscale. Of these items, hand/finger stereotypies and sensory difficulties were reported to be most problematic with approximately 49% and 36% of caregivers rating these behaviours as moderate to severe problems, respectively. In contrast, whole body and head stereotypies were reported to be the least problematic behaviours for males with FXS, with approximately 8% and 0% of caregivers rating these behaviours as moderate to severe problems, respectively. Two items are included in the Restricted Interests subscale: fascination/preoccupation with one subject or activity and strongly attached to one specific object. These items were relatively comparable with approximately 44% and 39%, of caregivers rating these behaviours as moderate to severe problems, respectively. In terms of Self-injury, 15% of caregivers reported hitting self with body part to be a moderate to severe problem in their sons with FXS. All others behaviours in the Self-injury subscale were seldom endorsed as a moderate or severe problem (<8%).
Figure 2.

Percentage of caregivers reporting behaviours to be a moderate to severe problem.
Table 2.
RBS-R items and subscales according to Bishop et al.’s (2013) 5 factor structure
| Subscale | Item |
|---|---|
| Sensory Motor | 1. Whole body |
| 2. Head | |
| 3. Hand/finger | |
| 4. Locomotion | |
| 5. Object Usage | |
| 6. Sensory | |
| 43. Fascination, preoccupation with movement | |
| Restricted Interest | 40. Fascination, preoccupation with one subject or activity |
| 41. Strongly attached to one specific object | |
| Self Injury | 7. Hits self with body part |
| 8. Hits self against surface or object | |
| 9. Hits self with object | |
| 10. Bites self | |
| 11. Pulls | |
| 12. Rubs or scratches self | |
| 13. Inserts finger or object | |
| 14. Skin picking | |
| Compulsive | 15. Arranging/ordering |
| 16. Completeness | |
| 17. Washing/cleaning | |
| 18. Checking | |
| 19. Counting | |
| 20. Hoarding/saving | |
| 21. Repeating | |
| 24. Sleeping/bedtime | |
| 25. Self-care (bathroom and dressing) | |
| 29. Insists that things remain in the same place(s) | |
| Ritualistic/Sameness | 26. Travel/transportation |
| 27. Play/leisure | |
| 30. Objects to visiting new places | |
| 31. Becomes upset it interrupted in what he/she is doing | |
| 32. Insists on walking in a particular pattern | |
| 33. Insists on sitting at the same place | |
| 34. Dislikes changes in appearance or behaviour of the people around him/her | |
| 35. Insists on using a particular door | |
| 37. Resists changing activities; difficulty with transitions | |
| 38. Insists on same routine, household, school or work schedule everyday | |
| 39. Insists that specific things take place at specific times |
Of the 10 items within the Compulsive subscale, two behaviours emerged as problematic; 26% of caregivers reported completeness (e.g., must have doors opened or closed; takes all items out of a container or area) to be a moderate to severe problem and 28% of caregivers reported sleeping/bedtime rituals to be a moderate to severe problem. Finally, of the 11 items within the Ritualistic/Sameness subscale, 26% of caregivers reported visiting new places as a moderate to severe problem and 36% of caregivers reported resisting changing activities/difficulties with transitions as a moderate to severe problem.
3.3 Inter-correlations Across the RBS-R Subscales
Spearman correlation coefficients were used to examine associations between the five RBS-R subscales. These analyses indicated that all of the RBS-R subscales were significantly intercorrelated (see Table 3).
Table 3.
Concurrent associations across RBS-R subscale scores
| Restricted Interests | Self-Injury | Compulsive | Ritualistic/Sameness | |
|---|---|---|---|---|
| Sensory Motor | r = .56* | r = .55** | r = .38* | r = .65** |
| Restricted Interests | r = .32* | r = .39** | r = .59** | |
| Self-Injury | r = .35* | r = .36* | ||
| Compulsive | r = .65** |
p < .01,
p < .05, one-tailed
3.4 Relations Between T1 Participant Characteristics and Repetitive Behaviours at T2
Spearman correlations were also used to examine the extent to which nonverbal IQ, anxiety, and ASD social-affective symptomatology at T1 were predictively correlated with the RBS-R subscales at T2 (see Table 4). The ADAMS General Anxiety subscale was significantly and positively related to the RBS-R Restricted Interests (p = .02), Compulsive (p = .02), and Ritualistic/Sameness (p = .003) subscales. The Leiter-R Brief IQ was significantly and negatively related to the RBS-R Restricted Interests subscale (p = .03). Finally, ASD social-affective symptomatology was significantly and positively associated with the RBS-R Restricted Interests subscale (p = .03).
Table 4.
Longitudinal associations between child characteristics at time 1 and RBS-R subscale scores 18 months later
| Nonverbal IQa | Anxietyb | ADOS Social-Affective domainc | |
|---|---|---|---|
| Sensory Motor | r = −.05 | r = .20 | r = .05 |
| Restricted Interests | r = −.33* | r = .33* | r = .31* |
| Self-Injury | r = .09 | r = −.01 | r = .03 |
| Compulsive | r = .13 | r = .36* | r = .16 |
| Ritualistic/Sameness | r = .007 | r = .44** | r = .05 |
p < .01,
p < .05, one-tailed;
brief IQ scores from the Leiter-R;
General Anxiety subscale from the ADAMS;
calibrated severity score from the ADOS
4 Discussion
In this study, we sought to develop a more nuanced understanding of repetitive behaviours in school-age boys with FXS. To achieve this goal, we described the subscale- and item-level profiles of repetitive behaviours reported by mothers and examined the intercorrelations among different categories of repetitive behaviours. Additionally, we evaluated several child characteristics as potential longitudinal predictors of different categories of repetitive behaviours. Insight into the presence and correlates of repetitive behaviours in FXS can help to further elucidate the behavioural phenotype of this neurodevelopmental disorder with the ultimate goal of identifying appropriate pharmacological and behavioural targets for intervention. Such insights are also conceptually useful in deriving theoretical models of repetitive behaviours in FXS that can then be compared to profiles and predictors for other neurodevelopmental disorders.
Using the RBS-R, a widely used informant report measure of repetitive behaviours, we found that some classes of repetitive behaviours were more problematic than others for boys with FXS. Ritualistic/Sameness and Sensory Motor behaviours were frequently endorsed as problematic, whereas Self-injury was the least commonly reported type of behaviour. This finding is consistent with the results reported for 3- to 5-year olds with FXS by Wolff and colleagues (2012) and suggests that the profile of repetitive behaviours remains stable in FXS from preschool through at least the middle school years.
When considering repetitive behaviours at the individual item level, the four behaviours most commonly reported by caregivers to be a moderate to severe problem were found in the Sensory Motor and Restricted Interest categories. In the Sensory Motor category, almost half of caregivers reported hand/finger mannerisms (e.g., hand-flapping) to be a moderate to severe problem and more than a third of caregivers reported sensory behaviours to be a moderate to severe problem. The two items (i.e., preoccupation with one subject or activity and strong attachment to one specific object) comprising the Restricted Interests category were reported as moderate to severe problems by more than a third of caregivers. The next most commonly reported behaviours were found in the categories of Compulsive and Ritualistic/Sameness behaviours. More than a third of caregivers reported difficulty with transitions as a moderate to severe problem and between a quarter and a third of caregivers reported sleeping/bedtime rituals, completeness (e.g., must have doors opened or closed), and objecting to visiting new places as moderate to severe problems. Once again, at the individual level, Self-injurious behaviours were reported to be least problematic subcategory endorsed in our sample.
It is interesting that self-injurious behaviours were least commonly endorsed as being problematic using the RBS-R. In the Bailey et al. (2008) survey completed by parents of 976 full mutation males with FXS over the age of 6-years, 41% of parents reported self-injurious behaviour to be problematic for their children. It seems possible that self-injurious behaviours may emerge with age and become more problematic in adolescence and young adulthood, but the discrepancy between reports of self-injury using the RBS-R and the Bailey et al. (2008) parent survey should be noted. There are, however, several potential differences between the ways in which problem behaviours were classified/categorised between our study and the report of the parent survey by Bailey et al. (2008). First, the Bailey study queried self-injurious behaviours as a global category and did not report the percentage of parents who reported individual types of self-injurious behaviours as problematic. If we had added up the individual categories of self-injury reported in the current study, our findings are more comparable to theirs. Additionally, the current study reported only the percentage of children for whom self-injury was a moderate to severe problem. Nevertheless, the mean subscale score for the entire category of different self-injurious behaviours in the current study was under 1, suggesting these were not seen as problems by parents for the most part.
In terms of the relations between the different types of repetitive behaviours, significant positive associations were observed between all subcategories of repetitive behaviours. The finding that repetitive behaviours seem to covary in FXS could suggest a common underlying mechanism that predisposes the emergence of several different topographies and types of repetitive behaviours. Alternatively, this finding could suggest that a great deal of overlap exists across the category structure of the RBS-R. Thus, it may be that an alternate factor structure would be more helpful in considering the ways in which repetitive behaviours are organised in FXS.
Regardless of the significant associations between all of the examined categories of repetitive behaviour, some authors may argue that self-injurious behaviours represent a distinct category of behaviours that is not accurately classified as a topography of repetitive behaviour. This perspective rests on the argument that self-injurious behaviours, unlike other categories of repetitive behaviours, are often maintained by environmental contingencies (Langthorne et al. 2011). However, other authors have suggested that, over time, behaviours that begin as stereotyped or repetitive may evolve into self-injurious behaviours as social reinforcement from the environment replaces the self-stimulating function of the original repetitive behaviour. According to this viewpoint, nonharmful levels of stereotopy may be maintained and shaped by environmental contingencies, potentially changing in function and topography into more problematic levels of self-injury (Kennedy 2002).
In order to gain insight into the participant characteristics that predict the various types of repetitive behaviours, longitudinal associations between nonverbal IQ, anxiety, and social-affective symptoms of ASD and parent report of repetitive behaviours were examined. We found that multiple participant characteristics at T1 predicted scores on the Restricted Interest subscale measured 18 months later. As predicted, a negative association was observed between nonverbal IQ and Restricted Interests subscale of the RBS-R. Additionally, a positive association was observed between levels of anxiety and the severity of social affective symptoms of ASD with this same subscale of the RBS-R. Finally, anxiety was also positively associated with scores on the Compulsive and Rituatlistic/Sameness subscales at T2.
These predictive associations suggest that multiple types of repetitive behaviours may be driven by the presence of anxiety in males with FXS. In particular, our data suggest that, for these young males with FXS, high levels of anxiety are associated with increased difficulty with compulsive behaviours, restricted interests, and ritualistic behaviours. It may be that these behaviours are serving as coping mechanisms to deal with heightened levels of anxiety; that is, when an individual is experiencing high levels of anxiety, engaging in repetitive behaviours (e.g., talking about a favourite topic of conversation, preoccupation with moving a favourite object in a repetitive or ritualistic fashion) may alleviate the physiological arousal associated with anxiety. As a result of engaging in these types of repetitive behaviours, the child may spend less time actively exploring or attending to the environment, thereby negatively impacting opportunities to learn from ongoing experiences. Our findings suggest that treating symptoms of anxiety may lead to the reduction of repetitive behaviours in FXS.
Limitations in nonverbal cognition and impairments in social communication were also observed to be predictively associated with a higher degree of restricted interests in young boys with FXS. Research indicates that more severe limitations in cognitive ability are a risk factor for high levels of repetitive behaviours (McClintock et al. 2003). Additionally, it would be reasonable to speculate that children who are preoccupied with strong and all-encompassing nonsocial interests would be less open to responding to the social bids of interactive partners and in learning from these social encounters. In addition, severity of ASD symptomatology is negatively associated with nonverbal IQ in FXS (Lewis et al. 2006). Thus, the relationship between social impairment as measured by the ADOS and restricted interests as measured by the RBS-R may be mediated by the shared variance of these child characteristics with nonverbal IQ. It should be mentioned that the negative association found between nonverbal IQ and restricted interests has not been reported for boys with nonsyndromic ASD who, on average, have higher levels of nonverbal cognitive ability than do same-aged boys with FXS (Bishop et al. 2006; Szatmari et al. 2006). This finding suggests that, although restricted interests are a core symptom present in children with ASD regardless of their cognitive level, restricted interests in children with FXS may be, in part, the result of higher levels of cognitive impairment.
4.1 Limitations
As with all correlational studies, it is not possible to determine the direction of causality or to rule out the possibility that unmeasured variables explain the resultant patterns of associations. The relatively small sample precluded us from conducting a multiple regression analysis that could simultaneously evaluate the unique contribution of each potential predictor. Additionally, we did not administer the RBS-R at the initial T1 visit, which would have allowed us to examine changes in the level of repetitive behaviours over time and, additionally, to control for the level of repetitive behaviours at T1. In addition, as the present study did not include a comparison group of individuals with other neurodevelopmental disorders (e.g., ASD or Down syndrome) we are unable to determine the extent to which the observed pattern of findings is specific to FXS. Finally, as mentioned earlier, all participants in the current study were required to use speech as their primary means of communication. This inclusionary criterion for the current study, which required that participants use three word phrases on a daily basis, may have resulted in a sample that was not representative of the population of males with FXS and may account for the lower levels and reduced severity of self-injurious behaviours in our sample.
4.2 Future Directions
Taken as a whole, these results contribute to the literature examining profiles and predictors of repetitive behaviours in FXS, the leading inherited cause of intellectual disability. Future research should focus on identifying additional child and environmental characteristics that may have a causal relationship with repetitive behaviours. Candidate variables include executive functioning, attention, arousal, sensory processing, and levels of FMRP, the protein which is implicated in neurological functioning in FXS.
Research should also be directed toward examining whether these same or different variables influence the emergence of repetitive behaviours in children with nonsyndromic ASD and how profiles of affectedness differ between these two disorders. A direct between-group comparison utilising a sample of males with nonsyndromic ASD (i.e., children who meet criteria for an ASD diagnosis but for whom a diagnosis of the FXS full mutation has been ruled out) could provide insights into possible differences in the profile of repetitive behaviours. Additionally, such a comparison would inform our understanding of the strengths of association between child characteristics and the presence of repetitive behaviours, providing insights into similarities and differences in causal mechanisms. This line of research is especially pertinent given ongoing efforts to develop targeted pharmacological and behavioural treatments for individuals with neurodevelopmental disorders as it may not be the case that treatments designed to address repetitive behaviours in children with nonsyndromic ASD will be equally effective for children with FXS (Hall et al. 2010).
As mentioned previously, there are many approaches to the measurement of repetitive behaviours in individuals with intellectual and development disabilities. Researchers have used different measures that have been specifically developed to assess repetitive behaviour (RBS-R; Bodfish et al. 2000; RBQ; Moss et al. 2009) or have used subscales or items from tests developed for other purposes, such as autism diagnosis (i.e., ADI-R; Rutter et al. 2003). Although the present study provides preliminary insights into the presence of repetitive behaviours in FXS, comparing results of different assessments administered to the same sample of individuals with FXS would be a productive direction for future research. Additionally, other researchers have utilised one set of items/behavioural characteristics but have classified these items in different ways depending on factor analyses conducted for specific populations, particularly ASD (e.g., Bishop et al. 2013). It may be that the phenotypic characteristics associated with particular syndromes warrant different organisations of individual topographies of repetitive behaviours as a function of disorder. To date, no FXS-specific factor analyses have been conducted on any measure of repetitive behaviours.
Finally, measures of repetitive behaviours vary in terms of their focus on frequency of behaviours, severity of behaviours, or may collapse both dimensions into a single rating scale. More work is needed to examine both frequency and severity of repetitive behaviours independently as well as the extent to which either of these factors interferes with day-to-day functioning.
Acknowledgments
This research was supported by NIH grant R01 HD054764 and U54 HD079125 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development. A portion of the results from the current study was presented at the 2012 International Fragile X conference. We would like to thank the parents and children who participated in this study. We would also like to thank the following individuals who contributed to the collection of data reported in this paper: Sara Kover, Eileen Haebig, Claire Hauser, Sara Lifson, David Benjamin, Susan Harris, Beth Goodlin-Jones and Cecilia Compton.
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