This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hessl, D.
Right arrow Articles by Reiss, A. L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hessl, D.
Right arrow Articles by Reiss, A. L.
Related Collections
Right arrow Neurology & Psychiatry
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

PEDIATRICS Vol. 108 No. 5 November 2001, p. e88

ELECTRONIC ARTICLE:
The Influence of Environmental and Genetic Factors on Behavior Problems and Autistic Symptoms in Boys and Girls With Fragile X Syndrome

David Hessl, PhD*, Jennifer Dyer-Friedman, PhD*, Bronwyn Glaser, BA*, Jacob Wisbeck, MSDagger , R. Gabriela Barajas*, Annette Taylor, PhD§, and Allan L. Reiss, MD*

From the * Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Dagger  Temple University School of Medicine, Philadelphia, Pennsylvania; and § Kimball Genetics, Inc, Denver, Colorado.


    ABSTRACT
Top
Abstract
Methods
Results
Discussion
References

Objective.  Fragile X syndrome, caused by mutations in a single gene of the X chromosome (FMR1), is associated with neurobehavioral characteristics including social deficits with peers, social withdrawal, gaze aversion, inattention, hyperactivity, anxiety, depression, and autistic behavior. However, there is considerable variability in the behavioral and psychiatric problems among children with this condition. The purpose of this study was to measure genetic and environmental factors influencing behavior problems and autistic symptoms in children with fragile X syndrome.

Design.  We conducted an in-home evaluation of 120 children (80 boys and 40 girls) with the fragile X full mutation and their unaffected siblings, including measurements of the FMR1 protein (FMRP), quality of the home environment, maternal and paternal psychopathology, effectiveness of educational and therapeutic services, and child behavior problems.

Results.  Results of multiple regression analyses showed that for boys with fragile X, effectiveness of educational and therapeutic services and parental psychological problems predicted internalizing and externalizing types of problems, while the quality of the home environment predicted autistic behavior. For girls with fragile X, the results emphasized significant effects of FMRP on behavior, in particular social withdrawal and anxious/depressed behavior.

Conclusions.  These findings are among the first to link FMRP expression to behavior. They also emphasize the significance of home- and school-based environmental variables in the neurobehavioral phenotype and help to lay the foundation for studies designed to identify specific interventions for reducing problem behavior in children with fragile X syndrome.  Key words:  fragile X syndrome, FMR1 protein, home environment, special education, autistic behavior.

Fragile X syndrome, caused by mutations in a single gene on the long arm of the X chromosome, occurs in 1 of every 2000 to 5000 live births and is the most common known inherited cause of mental retardation. The cytogenetic fragile site on the X chromosome from which the syndrome derives its name is typically caused by the presence of >200 cytosine-guanine-guanine triplet repeats within the promoter region of the FMR1 gene, which prevents normal transcription. This "transcriptional silencing" of the gene and the subsequent diminished or absent production of the FMR1 protein (FMRP) results in aberrant brain development and function.1,2 Because females have 2 X chromosomes, production of FMRP is maintained to varying degrees by the presence of the unaffected X chromosome. Variability in the production of FMRP also may be the result of a condition known as mosaicism, in which transcriptional silencing of the gene occurs in some, but not all cells, either because of varying sizes of the repeat expansion or variation in methylation patterns. Mosaicism can occur in both females as well as males with fragile X. Individual differences in FMRP production in the brain as a result of these processes are thought to account for a significant proportion of the variability in cognitive outcome in individuals with fragile X.

In addition to cognitive impairment, individuals with fragile X display a characteristic profile of behavioral and psychiatric difficulties. Most well-controlled studies demonstrate that persons with fragile X are at increased risk for particular maladaptive behaviors, including hyperarousal, social anxiety and withdrawal, and attention problems.3-6 In males, these behaviors include social deficits with peers, abnormalities in communication, unusual responses to sensory stimuli, stereotypic behavior, social avoidance, gaze aversion, inattention, impulsivity, and hyperactivity.7-15 Young girls with fragile X also exhibit maladaptive behaviors, including problems with depression, social withdrawal, and hyperactivity6,16,17; however, these symptoms tend to be less severe than in boys with fragile X. Consequently, individuals with fragile X are at increased risk for psychiatric disorders, most notably anxiety, mood, and attention deficit/disruptive behavior disorders. Furthermore, many behavioral characteristics of children with fragile X are similar to those of children with autism. The proportion of persons with fragile X who meet criteria for autism is estimated to be 7% to 25%.518-21 Although this overlap is not high, children with fragile X who do not meet diagnostic criteria for autism nevertheless demonstrate autistic-like behaviors such as stereotypy, avoidance of eye contact, social shyness, perseverative speech, and tactile defensiveness.18

Although a common behavioral profile has been described, there is considerable variability in behavior and psychiatric problems among children with fragile X syndrome, ranging from severely autistic behavior to normal functioning. It is important to describe the full range of this variability and to account for sources of this variation in children with this condition.22 This will serve to avoid the promulgation of inaccurate information and stereotypes, provide parents and professionals with a broader picture of possible developmental trajectories, and hopefully illuminate sources of variation that are relatively fixed versus those which are amenable to intervention. As is the case with cognitive functioning, it is possible that the variability in behavior is, in part, attributable to molecular genetic variables associated with fragile X. Although FMRP has been consistently associated with intelligence,23-25 only 1 study to date has investigated the influence of FMRP on behavior in individuals with fragile X.23 In this study, a negative correlation between FMRP and the prevalence of 10 typical fragile X behaviors was observed, but only in males with mosaicism. The association between FMRP and other types of behavior problems common in individuals with fragile X syndrome, including autistic behavior, is not known.

In addition to possible effects of FMRP, variations in the environment, including characteristics of the family, home, and educational setting, may ameliorate or exacerbate behavioral and psychiatric problems associated with fragile X. For example, it is possible that psychological characteristics of parents, including a background genetic predisposition to psychopathology, may contribute to child problems in addition to the specific effects of the fragile X mutation. Examination of the home and school environment also may yield important information about the nongenetic sources of problem behavior. This approach is important because identification of environmental effects on behavior (ie, effectiveness of educational or therapeutic services, characteristics of parents or parenting, family emotional climate) will lead to more targeted and effective interventions. Furthermore, although biologically based treatments to reverse some of the effects of fragile X are possible, including pharmacological therapy and protein replacement, the impact of the decrement in FMRP is likely to occur very early in development when the nervous system undergoes its most rapid growth and long before significant behavior problems are detected. Finally, the effects of fragile X extend beyond the individual child to the family system. The stress associated with the presence of a child with developmental disability affects the family as a system as well as the parents and siblings individually.26

To date, no study has comprehensively examined the influence of both genetic and environmental factors on behavioral outcomes in a large sample of children with fragile X syndrome. We believe that investigation of both child-based genetic factors as well as family- and school-based environmental factors in families affected by fragile X is necessary to ultimately identify specific points at which interventions aimed at reducing problem behavior will be treatment- and cost-effective.

In the current study, we sought to establish a better understanding of the association between specific genetic and environmental factors and behavioral outcome in children with fragile X in comparison to their siblings unaffected by fragile X. The inclusion of the sibling comparison group is important because of the need to establish relations between predictors and behavioral outcomes in children unaffected by fragile X, but who predominantly share the same environment. The study, based on a full day in-home evaluation, used molecular analysis of the fragile X protein, cognitive evaluations of parents and children, direct observation of the home environment including parent and child behavior, and parent report of child behavior.

    METHODS
Top
Abstract
Methods
Results
Discussion
References

Participants

Families having at least 1 child with the fragile X full mutation and 1 child without fragile X were recruited for the study. To eliminate potential confounding effects of maternal problems associated with having a full mutation, only families in which mothers had a premutation were included in the current analyses. In addition, each fragile X-sibling pair of children had the same biological mother and father. The diagnoses of children with fragile X, their siblings, and mothers were confirmed by southern blot DNA analysis.

Participants were 120 children with the fragile X full mutation (40 girls and 80 boys; 5 girls and 9 boys were mosaic) and their unaffected siblings (62 girls and 58 boys). All mothers and 85% of fathers participated in the study. Children were between 6 and 17 years of age (fragile X: mean [M] = 10.76, standard deviation [SD] = 2.83; unaffected siblings: M = 11.20, SD = 3.10). The sample of children was 91.7% white, 2.5% Hispanic, 2.5% black, 1.7% Asian, 0.8% Pacific Islander, and 0.8% multi-ethnic. Families in 36 United States and Canada, in urban, suburban, and rural areas, were represented in the sample. The parents' highest level of education was 0.8% partial high school, 10.8% high school diploma, 34.2% partial college, 30.8% college degree, and 23.3% graduate degree. Potential participants were excluded on the basis of other known medical problems or signs of current illness.

Families were recruited from an existing fragile X registry, responses from advertisements placed in various fragile X association newsletters, a national fragile X e-mail list, the Stanford Psychiatry Department research website, and through referrals from other researchers, the National Fragile X Foundation, clinicians, and families.

Procedures

To determine a family's eligibility, results of previous fragile X testing were requested. DNA testing for the FMR1 mutation was conducted on all probands and previously untested family members. FMRP percentage was obtained for all children with fragile X in the study (see below). For these tests, families were mailed a testing kit, allowing the blood draw(s) to be conducted before the visit and in their own physician's office or at a community clinic. Blood samples were sent directly from the blood draw site to the genetics testing facility by overnight mail.

Measures

Fragile X Diagnosis and FMRP Analysis Southern blot analyses were performed by Kimball Genetics, Inc (Denver, CO) as detailed by Taylor and colleagues.27 FMRP immunostaining, an indirect alkaline phosphatase technique, was used according to Willemsen et al.28-30 To measure FMRP, slides were analyzed under the microscope, distinguishing lymphocytes from other blood cell types by morphology. Granulocytes stain nonspecifically and therefore only lymphocytes are counted. For each slide, 200 lymphocytes were scored, and the percentage of lymphocytes expressing FMRP was determined. Scoring was performed in blinded fashion with respect to DNA results.

Intelligence Children were administered the Wechsler Intelligence Scale for Children-Third Edition31 (WISC-III; The WISC-III is a standardized intellectual assessment for children ages 6-16 years yielding Verbal, Performance, and Full Scale IQ scores.)

Behavior Problems The Child Behavior Checklist32 (CBCL) is a well-standardized and widely used instrument, with several factors including withdrawn behavior, social problems, anxiety and depression, somatic complaints, aggressive behavior, delinquent behavior, as well as overall internalizing and externalizing behavior scores. Autistic behavior was measured using the Autism Behavior Checklist,33 which includes 57 behavioral characteristics of autism in 5 areas: sensory, relating, body and object use, language, and social and self-help. The child's mother was the respondent for both of these measures.

Parental Psychological Symptoms The Symptom Checklist---90 Revised34 (SCL-90-R) is a 90-item self-report of current psychological symptoms. The SCL-90-R yields 9 primary symptom dimensions (somaticism, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism) and 3 global indices (global severity, positive symptom distress, and positive symptom total).

Assessment of Home Environment The home environment was assessed using the Home Observation for Measurement of the Environment35 (HOME). The HOME is a semistructured interview and observation done in the family home. Factors include parent responsivity, encouragement of maturity in the child, acceptance of the child, learning materials present in the home, effort to provide cultural, recreational, or artistic enrichment, family companionship, and the quality of the physical environment of the home. For purposes of interrater reliability, 2 examiners made independent ratings of observational items on the HOME during visits of 22 homes. Then, approximately 2 weeks after the visit, 1 of the examiners (who tested the children and did not administer the parent interviews) contacted the parent by phone to administer the interview items. Interrater reliability for the HOME total score was high (intraclass correlation = 0.84).

Family Economic Status Household income was adjusted for regional differences in housing and cost of living. Parent report of gross annual household income was divided by the median household income in the family's area as defined by the home's zip code. The zip code median income was determined by Decisionmark Corporation (Cedar Rapids, IA) and based on the 1990 US Census data and the Census Bureau's 1998 estimates and 2003 projections. This data was obtained from the world wide web via www.homes.com.

Educational and Therapeutic Services Because of a dearth of measures designed to assess the effectiveness of special education services, a new measure was developed for this purpose. The Special Curriculum Opportunity Rating Scale (SCORS; unpublished data) includes a 15-item Q-sort allowing the parent to rank the cognitive and behavioral skills that a child needs to develop. The parent then ranks the same 15 items according to how much the skills have actually improved in the past 6 months. The items include academic, emotion management, planning, social, speech and language, and other skills needed for development. The correlation of the two 15-item Q-sorts is a measure of the effectiveness of a child's educational and therapeutic services to meet his or her current developmental needs. Test-retest reliability 1 to 2 weeks apart with 15 children was adequate for the developmental needs (r = .69) and improvement (r = .68) Q-sorts. Initial validation studies demonstrate that the SCORS has good convergent and discriminant validity within this fragile X sample.

Data Analysis

We first sought to examine the behavioral profiles of boys and girls with fragile X syndrome and their siblings. Specifically, we wished to identify the behavior domains reported to be most problematic for children with fragile X, as well as the domains that are relatively less affected by the syndrome. To accomplish this, we conducted a multivariate analysis of variance using group (boys with fragile X, girls with fragile X, male comparison siblings, and female comparison siblings) as the independent variable and the syndrome and composite scales of the CBCL as the dependent variables.

Next, in preparation for the multiple regression analyses, we examined bivariate correlations between planned independent variables and dependent variables for purposes of data reduction and model simplification.

To examine the variance in behavior problems accounted for by environmental and biological/genetic factors, we conducted hierarchical multiple regression analyses separately for boys with fragile X, girls with fragile X, and comparison siblings. A hierarchical, rather than simultaneous approach, was taken to determine the relative contributions of biological/genetic versus environmental factors on child behavior problems as pertaining to a priori hypotheses. Biological/genetic, or innate characteristics of the child, including gender (applicable to analyses involving comparison siblings), IQ, and FMRP percentage, were entered on the first step. Child IQ was included in this step to account for variation in behavior that is attributable to developmental disability.36 (FMRP and effectiveness of services were not relevant to the analysis of comparison siblings and not included in regression analyses pertaining to this group.) Environmental factors, including the quality of the home environment (HOME total score), parental psychopathology (mean of father and mother SCL-90-R Global Severity Index t scores), and effectiveness of educational and therapeutic services (SCORS correlation) were entered in the second step. Parental psychopathology was included in this step to account for the well-documented association between parent and child problems, and also to examine whether this association holds in the case of children with fragile X syndrome. For each group, regressions on total behavior problems, internalizing behavior problems, externalizing behavior problems, and autistic behavior, were performed. Follow-up analogous regressions on the withdrawn, anxious/depressed, thought, and attention problem subscales of the CBCL were performed given their clinical relevance for fragile X as shown in previous studies and the current data set (Fig 1).


View larger version (38K):
[in this window]
[in a new window]
 
Fig. 1.   CBCL syndrome t scores of children with the fragile X full mutation (79 boys and 40 girls) and their siblings (58 boys and 61 girls). *** Fragile X boys > sibling boys, P < .001; ### fragile X girls > sibling girls, P < .001. Error bars represent 1 SD.

    RESULTS
Top
Abstract
Methods
Results
Discussion
References

Descriptive Statistics

Descriptive statistics of each independent variable by group are presented in Table 1. Boys with fragile X had a mean full scale IQ of 46.56 (moderate mental retardation range); however, the variability was attenuated by a floor effect (39% of boys with fragile X obtained the lowest possible IQ score, 40). Girls with fragile X had a mean full scale IQ of 75.48 (borderline intellectual functioning range) and considerable variability, with scores ranging from the moderate mental retardation to superior range. Siblings had IQ scores similar to the WISC-III normative sample (M = 107.55; SD: 12.21). FMRP ranged from 1.5% to 74% (M = 12.09, SD: 11.57) in boys with fragile X and from 14% to 77.7% (M = 51.03, SD: 18.57) in girls with fragile X. In terms of environmental measures, the quality of the home environment (M = 46.33, SD: 7.03; range: 24-57) as well as family income (M = 1.16 or 116% of the median household income for home's zip code; range: 0.13-4.33) varied widely among families. Mothers and fathers of boys, but not girls, with fragile X had SCL-90-R scores significantly higher than the measure reference mean of 50 (mothers of boys with fragile X, M = 52.64, SD: 9.67, 1 sample t(79) = 2.44, P < .05; fathers of boys with fragile X, M = 52.85, SD: 9.28, 1 sample t(68) = 2.54, P < .05). Notably, children of nonparticipating fathers (N = 18) had significantly more autistic symptoms than children of participating fathers, U = 481.5, P < .01. Differences between these 2 groups of children in CBCL composite scale scores were not significant.

                              
View this table:
[in this window]
[in a new window]
 

TABLE 1
Descriptives of Independent Variables by Group*

Mothers reported much variability in the effectiveness of educational and therapeutic services; however, girls (M = .41, SD: 0.33) received more effective services than boys (M = .25, SD: 0.40), t(118) = 2.08, P < .05).

CBCL Descriptive statistics of child behavior problems (t scores) of boys and girls with fragile X and their comparison siblings are shown in Table 2 and graphically in Figs 1 and 2. The percentages of children in each group whose scores fell in the borderline or clinical range (for syndrome scales, t score >66 and for composite scales, t score >60) are also shown in Table 2. A multivariate analysis of variance with each of the CBCL scales as dependent variables and group as the independent variable (boys with fragile X, girls with fragile X, sibling boys, sibling girls) revealed groupwise differences for all scales (Fs = 2.97-77.37, all P < .05) except somatic complaints and delinquent behavior. Follow-up pairwise tests (Tukey) revealed that girls with fragile X had significantly more behavior problems than comparison sibling girls in all domains except somatic complaints, delinquent behavior, and aggressive behavior, all P < .05. Boys with fragile X had more problems than comparison sibling boys in all areas except somatic complaints, anxiety/depression, delinquent behavior, and aggressive behavior, all P < .05. Social problems, attention problems, and thought problems were the most pronounced problems reported by parents of boys and girls with fragile X. As seen in Table 2, 40.0% of girls and 41.8% of boys with fragile X had social problems in the borderline or clinical range. The percentages for thought problems were 25.0% and 54.4%, and attention problems were 47.5% and 62.0%, for girls and boys with fragile X, respectively. Finally, 47.5% of girls and 54.4% of boys with fragile X had total behavior problem scores in the clinically significant range, in comparison to 11.8% of children in the comparison sibling group.

                              
View this table:
[in this window]
[in a new window]
 

TABLE 2
Descriptive Statistics and Percentages of Children With Behavioral Symptoms in the Borderline or Clinical Range by Group: CBCL Syndrome and Composite Scales


View larger version (37K):
[in this window]
[in a new window]
 
Fig. 2.   CBCL composite scale t scores of children with the fragile X full mutation (79 boys and 40 girls) and their siblings (58 boys and 61 girls). *** Fragile X boys > sibling boys, P < .001; ### fragile X girls > sibling girls, P < .001; ## fragile X girls > sibling girls, P < .01; +++ fragile X boys > fragile X girls, P < .001; ++ fragile X boys > fragile X girls, P < .01. Error bars represent 1 SD.

Autistic Behavior Boys with fragile X had moderate levels of autistic behavior (M = 42.16, SD: 23.36) similar to those of a sample of children with severe mental retardation (M = 43.95, SD: 18.92), but well below that of children diagnosed with autism (M = 77.49, SD: 20.01).33 Girls with fragile X had mild levels of autistic behavior (M = 18.97, SD: 22.67) with as much variability as boys with fragile X. Autistic behavior in the sibling group is not reported because of lack of variability.

Multiple Regression Analyses

Child age and adjusted family income were not significantly correlated with any dependent variable in any of the 3 groups of interest, and, therefore, were not entered into the regression analyses. Correlations among parent SCL-90-R, the HOME, and the SCORS coefficient revealed a significant association between the parent psychopathology and the quality of the home environment, r(120) = -36, P < .001. Despite this modest correlation, these 2 factors were retained in the analyses according to a priori hypotheses. The final model consisted of gender (for the sibling group), full scale IQ, and FMRP percentage (for the fragile X groups) in the first step, followed by the HOME total score, mean parent SCL-90-R Global Severity Index t-score, and the SCORS correlation coefficient (measure of the effectiveness of services) in the second step. Results of regression analyses are shown in Table 3.

                              
View this table:
[in this window]
[in a new window]
 

TABLE 3
Results of Hierarchical Multiple Regression Analyses Predicting Behavior Problems in Boys and Girls With Fragile X and Their Siblings*

Comparison Siblings Child gender and intelligence were significantly associated with behavior problems in the sibling group. Male gender and lower IQ were related to increased behavior problems, accounting for 5% to 10% of the variance. After accounting for the influence of gender and IQ, environmental factors accounted for an additional 24% of the variance in total behavior problems. In particular, parental psychopathology and lower home environment quality were independently associated with behavior problems. The quality of the home environment predicted externalizing but not internalizing behavior problems, whereas parental psychopathology was positively associated with both internalizing and externalizing problems among siblings of children with fragile X.

Boys With Fragile X Behavior problems in boys with fragile X were consistently associated with environmental factors, and not with FMRP or IQ. Specifically, maternal report of more effective educational and therapeutic services was associated with fewer behavior problems and autistic symptoms, whereas parental psychopathology was significantly associated only with internalizing problems. And, as can be seen in Fig 3, autistic behavior increases linearly as the quality of the home environment decreases.


View larger version (19K):
[in this window]
[in a new window]
 
Fig. 3.   Statistically significant relation between quality of the home environment and autistic behavior residual scores in 79 boys with the fragile X full mutation. Residual scores represent autistic behavior scores after the effects of the other independent variables in the multiple regression are removed.

Girls With Fragile X In contrast to boys with fragile X, for the most part, genetic rather than environmental factors were associated with behavior problems in girls. Although FMRP was more strongly associated with internalizing types of problems, IQ was more strongly associated with externalizing problems. As shown in Fig 4, internalizing behavior problems decrease linearly as level of FMRP increases. Overall, IQ and FMRP account for 34% of the variance in total behavior problems among girls with fragile X. Whereas parental psychopathology was associated with internalizing behavior in boys with fragile X, this factor was most strongly correlated with externalizing behavior in girls with fragile X. Finally, IQ was the only significant predictor of autistic behavior, accounting for approximately 33% of the variance.


View larger version (15K):
[in this window]
[in a new window]
 
Fig. 4.   Relation between FMRP expression and CBCL internalizing behavior residual scores in 40 girls with the full mutation. Residual scores represent internalizing behavior scores after the effects of the other independent variables in the multiple regression are removed.

Follow-up, analogous multiple regression analyses were conducted to examine genetic and environmental effects on specific types of behavior that are most problematic for children with fragile X, specifically withdrawn behavior, anxious/depressed behavior, social problems, thought problems and attention problems. For girls with fragile X, results of these analyses showed that, after accounting for the effect of IQ, FMRP was significantly associated with withdrawn (beta  = -0.37, P < .05) and anxious/depressed behavior (beta = -0.32, P < .05) but not social (beta  = -0.25, not significant [NS]), attention (beta  = -0.21, NS), or thought problems (beta  = -0.18, NS). Interestingly, although environmental factors were not associated with total, internalizing, or externalizing domain scores in this group, 2 of these measures, parental psychopathology and effectiveness of services, were associated with subscale scores. Specifically, increased parental psychopathology was related to increased anxious and depressed behavior (beta  = 0.35, P < .05), while increased effectiveness of services was associated with decreased attention (beta  = -0.35, P < .05) and thought problems (beta  = -0.30, P < .05) in girls with fragile X.

For boys with fragile X, examination of specific types of behavior on the CBCL did not change results pertaining to FMRP. FMRP was not associated with any of the 4 identified subscales. In terms of environmental measures, more effective educational and therapeutic services were associated with less withdrawn behavior (beta  = -0.31, P < .01), less anxious/depressed behavior (beta  = -0.32, P < .01), and fewer attention (beta  = -.25, P < .05) and thought problems (beta  = -0.29, P < .05), but not with social problems (beta -0.13, NS). Parental psychopathology was not associated with any specific behavioral subscale, although as described above, it was associated with the internalizing problems composite score in this group.

    DISCUSSION
Top
Abstract
Methods
Results
Discussion
References

The results of this study add depth to understanding the development of neurobehavioral dysfunction in fragile X syndrome through investigation of both genetic and environmental influences on behavior problems in children with this condition. These results demonstrate that characteristics of the child's environment, particularly for boys with fragile X, play a significant role in behavior problems beyond the genetic effects of the disorder itself. Although additional research is needed to increase the specificity of these environmental effects (ie, examining more specific characteristics of the home, family, and educational/therapeutic services), the current findings help to lay the foundation for studies designed to identify specific interventions for reducing problem behavior in children with fragile X syndrome.

For boys with fragile X, results showed that 2 environmental factors, the effectiveness of educational and therapeutic services and maternal psychological problems, independently predicted behavior problems. In contrast, for girls with fragile X, the findings emphasized the separate effects of FMRP and intelligence, while environmental characteristics were not consistently associated with behavior problems. The reason for this dichotomy in the results is not clear. Gender and intellectual functioning are interdependent in fragile X. The wider spectrum of intellectual functioning and behavior problems in females with fragile X is likely to be due, in part, to variation in cellular X chromosome inactivation patterns and consequent FMRP production. Therefore, the differences observed in the current study may be a function of these genetic processes and level of functioning rather than gender. Future studies that include a sample of boys with higher levels of FMRP expression will clarify this issue.

Previous studies23,25 and ongoing research in our own laboratory37 have shown an association between FMRP and intellectual functioning in children with fragile X, suggesting a contribution of the FMR1 gene mutation to intellectual dysfunction. The present study extends this previous work by demonstrating a significant and independent association between FRMP and behavior problems in girls with fragile X, even after accounting for variation in intelligence. The association between FMRP and behavior is strongest in the internalizing behavior domain, particularly for socially withdrawn and anxious/depressed behavior. These results verify the hypothesis that reduced levels of FMRP place children at risk for specific neurobehavioral as well as neurocognitive effects. In addition, because the general effect of intelligence was removed in our analyses, the results show that the behavioral phenotype observed in females with fragile X is not simply secondary to a general cognitive deficit, but rather related to specific genetic effects of the FMR1 mutation.

The results of this study highlight several points at which intervention might be effective for children with fragile X. First, the association between the effectiveness of educational and therapeutic services and behavioral outcome indicates that from the mother's perspective, the fit between the child's developmental needs and the services he receives is important. In this sample, children who showed improvements in skills that their parents believed were important for them to develop had fewer behavior problems. This was the case for all types of behavior as well as autistic symptoms in boys with fragile X. Although the services were reported to be more effective for girls than boys, the impact of this effectiveness was seen only in reduced attention and thought problems for girls with fragile X. Why didn't the effectiveness of these services play a larger role for girls? Perhaps the focus of educational and therapeutic intervention for girls with the full mutation is on more observable problems such as learning problems and difficulties with attention, whereas internalizing problems are more difficult to detect and less amenable to behavioral intervention. Indeed, the lack of association between effectiveness of services and behavior problems may be an indication that the developmental needs of girls with fragile X are not being addressed adequately.

Second, parental psychopathology was associated with behavior problems of children with fragile X, as well as their siblings. A large body of previous research has demonstrated consistent links between parent psychopathology, most notably affective disorders, and child behavior and psychiatric problems in families presumably unaffected by a genetic syndrome.38 Interestingly, in the case of children with fragile X, parental psychopathology is associated with child behavior, over and above the genetic effects of the syndrome. The mechanisms underlying the transmission of risk for behavioral disturbance from parent to child may be genetic, environmental, or both. Similar to physical traits such as height or weight, transmission of genetic risk for personality or psychological characteristics is likely to occur even in the presence of a genetic syndrome that affects this dimension of function. Furthermore, the parent-child dyad in the case of fragile X is likely to include cyclical patterns of behavioral influence in which the child's difficult behavior affects the parent's psychological status, which in turn affects the manner in which the parent interacts with their child. In addition, it is possible that the behavior of children with this genetic condition has an impact on the quality of the environment by affecting the level of stress in family members, time and financial resources for the home, and so on. Thus, this effect could be viewed as bidirectional. Clearly, additional work examining this finding is needed.

Third, the effects of the home and educational environment on autistic behavior in boys with fragile X are notable. One might expect biological or genetic factors to be the primary determinants of autistic behavior in this population. However, as shown by the current results, environmental factors had a significant impact on the degree of autistic behavior. It is known that individuals with autism benefit from increased structure, predictability in daily routines, an organized physical environment, as well as specific, targeted instruction.39 Therefore, one interpretation of these findings is that boys with fragile X also benefit from a more structured, enriched home environment and targeted instruction. Increased cultural enrichment, activity, and structure may serve to keep the children focused and learning, reduce the frequency of repetitive play, and increase the frequency of meaningful social exchanges. Conversely, a decline in the enrichment, organization, or social climate of the home may increase the frequency of autistic behavior in children with fragile X, which may increase risk for meeting criteria for the diagnosis of autism.

This study had limitations influencing the interpretation of the findings. The lack of ethnic diversity limits the generalizability of the results to nonwhite families with children with fragile X. A second limitation of the study is maternal bias in reporting of environmental factors and child behavior. Mothers reported child behavior problems, effectiveness of services, and their own psychological symptoms, which could have inflated the relation between these predictors and the outcome measures. For example, one concern is that a mother's psychological status influenced her responses on the educational effectiveness measure. Follow-up correlations, however, revealed that these factors are unrelated. Future analyses will examine data from teacher-report of the services actually provided and behavior problems. Third, although the Autism Behavior Checklist was useful for efficiently measuring autistic symptoms, it relied on parent report and is not tied to Diagnostic Statistical Manual, Fourth Edition or International Classification of Diseases, 10th Revision criteria. The Autism Diagnostic Interview40 and the Autism Diagnostic Observation Schedule41 are now considered better measures of autism. Fourth, the cross-sectional design of the study does not make it possible to examine causal relationships between variables. For example, the association between effectiveness of services and behavioral outcome does not necessarily indicate that effective education and therapy leads to decreases in problem behavior. It is possible that children with fewer problems happen to receive better services, for example. Similarly, children with more behavior problems may elicit psychological distress in their parents and make the home and family more difficult to manage. Additional investigation of the specifics of home and family characteristics may yield important insights into the interaction between genetic and environmental influences on behavior in children with fragile X. Longitudinal studies will be needed to examine these causal links.

The results of this study should help to lay the foundation for future research designed to identify specific points at which intervention will be most effective in reducing behavior problems in children with fragile X syndrome. Based on the results presented here, an increased focus on interventions aimed at the family and school level, as well as the individual level of the child might be most effective. Because of the challenges and stresses associated with raising and teaching children with developmental delay and significant behavior problems, these interventions should include parent and teacher training to manage specific behavior problems, assisting and supporting parents with ways to manage and cope with stress, enhancing communication between parents and educators/therapists about the specific needs of the child at home and at school, and in especially distressed families, providing adequate respite care. Also, the well being of siblings of children with fragile X should not be overlooked. As evident from the results of this study, siblings who do not have the fragile X mutation are nevertheless influenced by the quality of the home environment and their parents' psychological health, which may be linked to stresses associated with having a child with a disability.

Finally, it should be emphasized that the features of the neurobehavioral phenotype occurring in children with fragile X are similar to characteristics of important child psychiatric disorders such as pervasive developmental disorder, attention-deficit/hyperactivity disorder and anxiety disorders. Basic mechanisms underlying these behaviorally defined disorders are certain to be different and more heterogeneous than those observed in fragile X. However, using fragile X as a more homogeneous model system for elucidating relations among genetic, environmental, and psychiatric factors provide conceptual and methodological insights that are applicable to investigations into the etiology and pathogenesis of more complex diagnostic entities. Accordingly, this research also has relevance that extends beyond the realm of fragile X syndrome.

    ACKNOWLEDGMENTS

This work was supported by National Institutes of Health Grants MHO1142 and MH50047. Additional support was received from the Packard Foundation and the Lynda and Scott Canel Fund for Fragile X Research.

We thank the families who participated in this study and the following individuals who made substantial contributions to this work: Donna Mumme, Cindy Johnston, Rahwa Ghebremichael, and numerous student research assistants.

    FOOTNOTES

Jacob Wisbeck is a medical student.

Received for publication Mar 9, 2001; accepted Jun 18, 2001.

Reprint requests to (A.L.R.) Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, 401 Quarry Rd, Stanford University School of Medicine, Stanford, CA 94305-5719. E-mail: areiss1{at}stanford.edu

    ABBREVIATIONS

FMRP, FMR1 protein; M, mean; SD, standard deviation; WISC-III, Wechsler Intelligence Scale for Children-Third Edition; CBCL, Child Behavior Checklist; SCL-90-R, Symptom Checklist-90-Revised; HOME, Home Observation for Measurement of the Environment; SCORS, Special Curriculum Opportunity Rating Scale; NS, not significant.

    REFERENCES
Top
Abstract
Methods
Results
Discussion
References
  1. Tamanini F, Willemsen R, van Unen L, Differential expression of FMR1, FXR1 and FXR2 proteins in human brain and testis. Hum Mol Genet 1997; 6:1315-1322 [Abstract/Free Full Text]
  2. Devys D, Lutz Y, Rouyer N, Bellocq JP, Mandel JL The FMR-1 protein is cytoplasmic, most abundant in neurons and appears normal in carriers of a fragile X premutation. Nat Genet 1993; 4:335-340 [CrossRef][Medline]
  3. Boccia ML, Roberts JE Behavior and autonomic nervous system function assessed via heart period measures: the case of hyperarousal in boys with fragile X syndrome. Behav Res Methods Instrum Comput 2000; 32:5-10 [Medline]
  4. Cohen IL A theoretical analysis of the role of hyperarousal in the learning and behavior of fragile X males. Ment Retard Dev Disabilities Res Rev 1995; 1:286-291 [CrossRef]
  5. Baumgardner TL, Reiss AL, Freund LS, Abrams MT Specification of the neurobehavioral phenotype in males with fragile X syndrome. Pediatrics 1995; 95:744-752 [Abstract/Free Full Text]
  6. Freund LS, Reiss AL, Abrams MT Psychiatric disorders associated with fragile X in the young female. Pediatrics 1993; 91:321-329 [Abstract/Free Full Text]
  7. Sudhalter V, Cohen IL, Silverman W, Wolf-Schein EG Conversational analyses of males with fragile X, Down syndrome, and autism: comparison of the emergence of deviant language. Am J Ment Retard 1990; 94:431-441 [Medline]
  8. Hagerman RJ, Amiri K, Cronister A Fragile X checklist [see comments]. Am J Med Genet 1991; 38:283-287 [CrossRef][Medline]
  9. Cohen IL, Fisch GS, Sudhalter V, Social gaze, social avoidance, and repetitive behavior in fragile X males: a controlled study. Am J Ment Retard 1988; 92:436-46 [Medline]
  10. Cohen IL, Sudhalter V, Pfadt A, Jenkins EC, Brown WT, Vietze PM Why are autism and the fragile-X syndrome associated? Conceptual and methodological issues. Am J Hum Genet 1991; 48:195-202 [Medline]
  11. Cohen IL, Vietze PM, Sudhalter V, Jenkins EC, Brown WT Parent-child dyadic gaze patterns in fragile X males and in non-fragile X males with autistic disorder. J Child Psychol Psychiatry 1989; 30:845-856 [Medline]
  12. Cohen IL, Brown WT, Jenkins EC, Fragile X syndrome in females with autism. Am J Med Genet 1989; 34:302-303 [CrossRef][Medline]
  13. Bregman JD, Leckman JF, Ort SI Fragile X syndrome: genetic predisposition to psychopathology. J Autism Dev Disord 1988; 18:343-354 [CrossRef][Medline]
  14. Reiss AL, Freund L Behavioral phenotype of fragile X syndrome: DSM-III-R autistic behavior in male children. Am J Med Genet 1992; 43:35-46 [CrossRef][Medline]
  15. Mazzocco MM, Baumgardner T, Freund LS, Reiss AL Social functioning among girls with fragile X or Turner syndrome and their sisters. J Autism Dev Disord 1998; 28:509-17 [CrossRef][Medline]
  16. Lachiewicz AM Abnormal behaviors of young girls with fragile X syndrome. Am J Med Genet 1992; 43:72-77 [CrossRef][Medline]
  17. Lachiewicz AM, Dawson DV Behavior problems of young girls with fragile X syndrome: factor scores on the Conners' Parent's Questionnaire. Am J Med Genet 1994; 51:364-369 [CrossRef][Medline]
  18. Bailey DB Jr, Mesibov GB, Hatton DD, Clark RD, Roberts JE, Mayhew L Autistic behavior in young boys with fragile X syndrome. J Autism Dev Disord 1998; 28:499-508 [CrossRef][Medline]
  19. Bregman JD, Dykens E, Watson M, Ort SI, Leckman JF Fragile-X syndrome: variability of phenotypic expression. J Am Acad Child Adolesc Psychiatry 1987; 26:463-471 [Medline]
  20. Hagerman RJ, Jackson AWd, Levitas A, Rimland B, Braden M An analysis of autism in fifty males with the fragile X syndrome. Am J Med Genet 1986; 23:359-374 [CrossRef][Medline]
  21. Levitas A, Hagerman RJ, Braden M, Rimland B, McBogg P, Matus I Autism and the fragile X syndrome. J Dev Behav Pediatr 1983; 4:151-158 [Medline]
  22. Finegan JA Study of behavioral phenotypes: goals and methodological considerations. Am J Med Genet 1998; 81:148-155 [CrossRef][Medline]
  23. Tassone F, Hagerman RJ, Ikle DN, FMRP expression as a potential prognostic indicator in fragile X syndrome. Am J Med Genet 1999; 84:250-261 [CrossRef][Medline]
  24. Kaufmann WE, Abrams MT, Chen W, Reiss AL Genotype, molecular phenotype, and cognitive phenotype: correlations in fragile X syndrome. Am J Med Genet 1999; 83:286-295 [CrossRef][Medline]
  25. Reiss AL, Freund LS, Baumgardner TL, Abrams MT, Denckla MB Contribution of the FMR1 gene mutation to human intellectual dysfunction. Nat Genet 1995; 11:331-334 [CrossRef][Medline]
  26. Crnic KA, Friedrich WN, Greenberg MT Adaptation of families with mentally retarded children: a model of stress, coping, and family ecology. Am J Ment Defic 1983; 88:125-138 [Medline]
  27. Taylor AK, Safanda JF, Fall MZ, Molecular predictors of cognitive involvement in female carriers of fragile X syndrome. JAMA 1994; 271:507-514 [Abstract/Free Full Text]
  28. Willemsen R, Los F, Mohkamsing S, Rapid antibody test for prenatal diagnosis of fragile X syndrome on amniotic fluid cells: a new appraisal. J Med Genet 1997; 34:250-251 [Abstract/Free Full Text]
  29. Willemsen R, Mohkamsing S, de Vries B, Rapid antibody test for fragile X syndrome. Lancet 1995; 345:1147-1148 [CrossRef][Medline]
  30. Willemsen R, Smits A, Mohkamsing S, Rapid antibody test for diagnosing fragile X syndrome: a validation of the technique. Hum Genet 1997; 99:308-311 [CrossRef][Medline]
  31. Wechsler D. Wechsler Intelligence Scale for Children. 3rd ed. San Antonio, TX: The Psychological Corporation; 1991
  32. Achenbach TM. Manual for the Child Behavior Checklist/4-18 and 1991 Profile. Burlington, VT: University of Vermont, Department of Psychiatry; 1991
  33. Krug DA, Arick JR, Almond PJ. Autism Screening Instrument for Educational Planning: An Assessment and Educational Planning System for Autism and Developmental Disabilities. 2nd ed. Austin, TX: Pro-Ed; 1993
  34. Derogatis LR. Symptom Checklist-90-R: Administration, Scoring, and Procedures Manual. 3rd ed. Minneapolis, MN: National Computer Systems, Inc; 1994
  35. Caldwell BM, Bradley RH. Home Observation for Measurement of the Environment-Revised Edition. Little Rock, AR: University of Arkansas at Little Rock; 1984
  36. Crnic KA. Mental Retardation. In: Mash EJ, Terdal LG. Behavioral Assessment of Childhood Disorders. 2nd ed. New York, NY: Guilford; 1988:317-354
  37. Dyer-Friedman J, Glaser B, Hessl D, Johnston C, Taylor A, Reiss A. The influence of genetic and environmental factors on the cognitive outcomes of children with fragile X syndrome. J Am Acad Child Adolesc Psychiatry. In press
  38. Beardslee WR, Versage EM, Gladstone TR Children of affectively ill parents: a review of the past 10 years. J Am Acad Child Adolesc Psychiatry 1998; 37:1134-41 [CrossRef][Medline]
  39. Lord C, Rutter M, Le Couteur A Autism Diagnostic Interview-Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. J Autism Dev Disord 1994; 24:659-85 [CrossRef][Medline]
  40. Lord C, Rutter M, Goode S, Autism diagnostic observation schedule: a standardized observation of communicative and social behavior. J Autism Dev Disord 1989; 19:185-212 [CrossRef][Medline]

Pediatrics (ISSN 0031 4005). Copyright ©2001 by the American Academy of Pediatrics

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?



This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hessl, D.
Right arrow Articles by Reiss, A. L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hessl, D.
Right arrow Articles by Reiss, A. L.
Related Collections
Right arrow Neurology & Psychiatry
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?