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PEDIATRICS Vol. 111 No. 5 May 2003, pp. 1010-1016

Growth Deficits and Attention-Deficit/Hyperactivity Disorder Revisited: Impact of Gender, Development, and Treatment

Joseph Biederman, MD*,{ddagger}, Stephen V. Faraone, PhD*,{ddagger}, Michael C. Monuteaux, BA*, Elizabeth A. Plunkett, BA*, Julie Gifford, BS* and Thomas Spencer, MD*,{ddagger}

* Pediatric Psychopharmacology Unit of the Psychiatry Department, Massachusetts General Hospital
{ddagger} Harvard Medical School, Boston, Massachusetts

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    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Objective. Although the relationship between putative growth deficits and attention-deficit/hyperactivity disorder (ADHD) has been examined in boys, this issue has not been evaluated in girls.

Methods. Height and weight were examined in 124 female ADHD children and 116 female controls using age and parental height corrections, attending to issues of pubertal stage and treatment. Also, we examined the interaction between ADHD status and gender on growth outcomes using data from 124 ADHD and 109 control males.

Results. The ADHD-growth association was not moderated by gender. No deficits in age-adjusted height or age and height-adjusted weight were detected in ADHD girls. Also, we found no association between growth measurements and psychotropic treatment, malnutrition, short stature, pubertal development, family history of ADHD, or psychiatric comorbidity, except for major depression: ADHD girls with major depression were on average 7.6 kg heavier than ADHD girls without depression, adjusting for age and height.

Conclusions. No growth deficits appear to be associated with ADHD or its treatment in females. These findings add to a growing literature supporting the notion that stimulant treatment does not have an adverse impact on ADHD children’s growth and development.

Key Words: ADHD • growth • stimulants

Abbreviations: ADHD, attention-deficit/hyperactivity disorder • DSM-III-R, Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised • MD, major depression • SES, socioeconomic status


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Although an early literature from the 1970s suggested that stimulant treatment of attention-deficit/hyperactivity disorder (ADHD) may be associated with growth deficits, this view has been increasingly challenged by newer findings. Early reports by Safer et al13 in the 1970s, Loney et al,4 and Mattes and Gittelman5 suggested that chronic stimulant treatment in children with ADHD led to statistically significant suppression of growth in weight and height. Although Gittelman et al6 found height deficits before puberty in stimulant-treated ADHD children, a follow-up study showed that stimulants did not compromise ultimate height at follow-up into late adolescence and young adulthood. Based on these results, they suggested that the catch-up in growth observed in this sample could have been attributable to drug discontinuation, since the children had stimulant treatment discontinued in early adolescence.

In contrast to these findings, Satterfield et al7 reported that initial height deficits observed in ADHD children after 1 year of stimulant treatment dissipated by the second year of treatment despite persistent weight deficits and uninterrupted treatment. A more recent study by our group assessed this issue using several methodological advances in the assessment of height deficits, including corrections by parental height and a conversion to z scores that corrects for age, avoids mathematical distortions, and is sensitive to height changes at all levels of height.8 In this study, Spencer et al9 reported small but significant differences in height in ADHD youth compared with those without this disorder, but showed that these height deficits were evident in early but not late adolescent ADHD children and were unrelated to use of psychotropic medications. Taken together, these findings raise the possibility that height deficits in ADHD children may reflect temporary developmental deviations associated with ADHD, not complications of stimulant treatment.

Although reassuring, a major shortcoming of the extant literature assessing growth deficits in ADHD is the exclusive limitation to samples of boys. Recent work by us and others clearly documents that ADHD is also highly prevalent in girls, similarly familial and highly comorbid with other disruptive behavior, mood, and anxiety disorders and that females with ADHD are likely to receive treatment with stimulant medications.1021 Thus, additional information is needed to determine if girls with ADHD exposed to stimulant medication are vulnerable to growth deficits. Also, it is possible that the relationship between ADHD and growth may be modified by gender, an issue that has not been previously examined.

The purpose of this report was the systematic evaluation of growth deficits in girls with ADHD attending to issues of gender, therapeutics, comorbidity, and familiality using developmentally sensitive methodology. Based on the previous analysis in boys with ADHD, we expected to find small growth deficits in height in ADHD girls that occur prepubertally, and that these deficits will be independent of stimulant treatment. To our knowledge, this work represents the first evaluation of growth deficits in ADHD girls.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
We studied 2 groups of index females: 140 ADHD probands and 122 non-ADHD comparisons. These groups had 417 and 369 first-degree biological relatives, respectively. All of the ADHD females met full Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R) diagnostic criteria for ADHD at the time of the clinical referral; at the time of recruitment they all had active symptoms of the disorder. Eligible subjects were female children and adolescents, 6 to 17 years of age, with an Intelligence Quotient >80. We excluded adopted children, children with major sensorimotor handicaps (paralysis, deafness, blindness), and children or parents with mental retardation or very severe and unstable psychopathology (psychosis, autism, suicidality). All subjects older than 12 gave written informed consent for participation. Parents gave written informed consent for participation of children under 12 and these children participated only if they assented to the study procedures.

A 3-stage ascertainment procedure was used to select the subjects. For ADHD subjects, the first stage was the patient’s referral. The second stage confirmed the diagnosis of ADHD by using a telephone questionnaire administered to the mother. The questionnaire asked about the 14 DSM-III-R symptoms of ADHD and questions regarding study exclusion criteria. The third stage confirmed the diagnosis with face-to-face structured interviews with the mother. Only patients who received a positive diagnosis at all 3 stages were included.

Control proband selection was guided by contemporary epidemiologic methodology, which dictates that the sampling of controls should be drawn from the exposure distribution of the source population that gave rise to the cases.22 As this was a clinic-based case series, the source population can be defined as the group of children who would have received treatment for ADHD at the same clinics as the cases if they, contrary to fact, had ADHD. In addition, this control selection should be conducted independent of exposure, with the only criteria for inclusion being the absence of ADHD. Thus, we ascertained control participants from referrals for routine physical examinations to the same medical clinics that provided the case series. In stage 2, the control mothers responded to the telephone questionnaire. Eligible controls meeting study entry criteria were recruited for the study and received the third stage assessment (structured interview). Only subjects classified as not having ADHD at all three stages were included in the control group. As the primary aim of the study was the examination of the familial risk of ADHD, cases and controls were not matched on any potentially confounding variables. In the present study, confounders are dealt with in the analysis phase.

Diagnostic Assessments
We used DSM-III-R-based structured interviews to diagnose subjects supplemented with questions that would allow us to make DSM-IV diagnoses. Psychiatric assessments of probands were made with the Kiddie SADS-E (Epidemiologic Version, supplied by H. Orvaschel and J. Puig-Antich, Nova Southeastern University, Fort Lauderdale, FL).23 Diagnoses were based on independent interviews with the mothers and direct interviews with the child. Children younger than 12 years of age were not interviewed directly. Kappa coefficients of agreement were computed between raters and 3 board-certified psychiatrists who listened to audiotaped interviews. Based on 173 interviews, the median kappa was .86 and the kappa for ADHD was .99. We assessed socioeconomic status (SES) with the Hollingshead-Redlich scale24 and functioning with Global Assessment of Functioning scale.

A sign-off committee of board-certified child and adult psychiatrists chaired by the Program Director (J.B.) resolved all diagnostic uncertainties. As suggested by others,25,26 we diagnosed major depression (MD) only if the depressive episode was associated with marked impairment. Since the anxiety disorders comprise many syndromes with a wide range of severity, we used 2 or more anxiety disorders to indicate the presence of a clinically meaningful anxiety syndrome and refer to this as "multiple anxiety disorders" as we have elsewhere.27

Assessments of Growth and Pubertal Development
All probands and relatives were weighed and measured using the same scale. Measurements were obtained with the subjects lightly clothed but without shoes. We used a Physician’s Beam Scale (Detecto, Webb City, MO), a high calibration scale with a height rod for precise measurement of height. Subjects were erect with height examined at the vertex. Growth measurements were plotted on National Center for Health Statistics growth tables.28 These growth charts are sex-specific and standardized. Thus, they permit comparisons of growth deficit findings to normal population data.

To assess pubertal staging, children 12 to 18 years of age were asked questions about pubertal development. Questions included the presence of pubertal hair, axillary hair, and menses as well as the age at attainment of each stage. Based on these questions, estimates of Tanner stages were developed as follows: attainment of pubertal hair, Tanner stage 2 to 3; attainment of axillary hair, Tanner stage 3 to 4; menstruation, Tanner stage 4 to 5.

Based on growth measurements, the following height and weight indices were made, as in our investigation with boys with ADHD:9

  1. Absolute Height was the uncorrected height in centimeters.
  2. Age-Corrected Height:8,29 Height values were converted to a height "z score" defined as the difference of an individual height from the mean height, for children of the same age and sex, divided by the standard deviation of height for that subgroup. Height z scores were calculated in 4 steps: a) the mean height, for the age of the child, was obtained from the growth table as the height at the 50th percentile for that age group; b) the difference between the child’s actual height and the mean height for children of the same age was calculated; c) the standard deviation of height for age is calculated as the height difference between the 90th and 10th cumulative frequency percentiles at the child’s age on the growth table, divided by a constant (2.56); and d) the difference between the child’s actual height and the mean height was then divided by the standard deviation of height for that age. Although the use of the normalizing transformations provided by the CDC to generate z scores would have been more precise than the use of this standard deviation approximation, we choose the latter for 2 reasons: 1) the 2 methods yield very similar z score distributions, such that the amount of imprecision introduced is minimal and does not threaten the validity of the analyses; and 2) we wanted to maintain the consistency of our methodological approach so as to compare these findings in girls with that of our previous report on boys.
  3. Parent and Age Corrected Height. We first calculated height z scores for parents using the methodology described above. We then examined the relationship of the child’s height to the parent’s height by regression analysis in the controls. Height data from both parents were used when available (88% of controls); in all other cases, just the mothers’ heights were used (12%). The estimated regression equation was used to determine the child’s predicted height from their parents’ heights. As this prediction was the purpose of this analysis and not the inferential testing of the association between childs’ and parents’ heights, we did not adjust for the violated assumption of independent observations because violating this assumptions biases standard errors but not estimates of coefficients or predicted values.
The difference between the child’s actual height (z score) and the child’s predicted height based on parental height (z score) was defined as the Parent and Age Corrected Height. In addition to tabulating these variables using the female sample, we also generated the same scores in a sample of males with (N = 124) and without (N = 109) ADHD, ascertained and assessed with identical methodology as that of the females.37,38 As discussed above, our group had previously assessed the relationships between ADHD, stimulant treatment and growth in this sample of males,9 using the National Center for Health Statistics statistics that were available at the time.39 However, to test if gender modifies the relationship between ADHD and growth measurements, we needed to update our measures in the sample of males using the recently published height and weight data that we used for the female sample.28

Data Analysis
First, we tested the difference between ADHD and control females on demographic features. Age and ages of onset were compared with t tests. Rates of pharmacotherapy between ADHD and controls were analyzed by the {chi}2 test, and SES by the rank sum test. Then, to assess the role of gender as a potential modifier of the relationship between ADHD and growth, we modeled growth outcomes (metric height and weight as well as the adjusted measures described above) as a function of ADHD status, gender, and their interaction using linear regression. Further analyses of growth outcomes were also analyzed using linear regression. Associations between height and weight measurements were examined using the Pearson correlation. All analyses were 2-tailed and statistical significance was defined at the .05 level.

To calculate power for the comparison of ADHD to control girls on height z scores, we used Cohen’s effect size scale40 to determine the power for medium-sized effects. Using an estimated standard deviation of 1.2 and an {alpha} level of .05, we calculated our power to detect medium-sized effects of .4 and .5, corresponding to mean height z score differences of .48 and .60, to be 87% and 97%, respectively. These mean z score differences of .48 and .60 correspond to differences of 18 and 23 percentile points, respectively. A 25-percentile point difference (from the 50th percentile to the 25th percentile) translates into height differences of 1.3 inches to 1.9 inches, depending on age. Thus, we have adequate power to detect the minimum of clinically meaningful height effects.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Demographic Features
The control sample was significantly older than the ADHD sample, but not to a clinically meaningful degree (mean difference 1.1 year; see Table 1). Similar findings were noted for the ages of mothers and fathers. No differences in SES were found between the groups. There were no differences between ADHD and control probands in the age of onset of estimated Tanner stages. As expected, ADHD girls had higher rates of any lifetime psychopharmacological treatment, any psychopharmacological in the past 2 years, and any stimulant treatment in the past 2 years. Stimulant doses were converted to methylphenidate equivalents (twice the dextro-amphetamine dose; half of the pemoline dose). Over the preceding 2 years, 59% (N = 73) had been treated with stimulants at an average daily dose of methylphenidate (or its equivalent) of 28 ± 16 mg/d.


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TABLE 1. Demographic Characteristics of Female ADHD and Control Probands and Their Parents

 
Effect of Gender on the Relationship Between ADHD and Growth
In a series of linear regression models, we modeled the 3 height measures and the 2 weight measures as a function of ADHD status, gender, and their interaction. None of the interaction terms were statistically significant, indicating no statistical evidence that the relationship between ADHD and growth differed by gender (all P values >.05). Also, there were no statistically significant differences between male ADHD and control children, using the updated normative growth data. Thus, we did not find height deficits in early adolescents that was reported previously.9 Although these results provide a statistical justification for combining the data across gender, we consider an analysis using only the female sample to be a stronger contribution to the literature, especially considering that we previously published the data from the males9 and the paucity of data on females examining this issue. Thus, the remainder of the analyses will be conducted on the females only.

Growth in Height
Control probands were significantly taller (mean ± 6 cm, P = .005) than ADHD girls (Table 2). However, when heights were converted to age-specific z scores, the difference in height between ADHD and controls was no longer significantly different. Similar results were obtained after correcting by parental height and proband age. The same pattern of results was found when the analysis was restricted to children (age <12 years) or adolescents (age >=12 years). There were no statistically or clinically meaningful differences in height between parents of ADHD and control children. Girls’ heights were moderately correlated with mothers’ heights in both ADHD (r = 0.22, P = .017) and control groups (r = .23, P = .014). However, correlations with fathers’ heights were much weaker, in both ADHD (r = -.05, P = .607) and control groups (r = .09, P = .359).


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TABLE 2. Height in Children and Parents

 
Growth in Weight
On average, ADHD children weighed 5 kg less than controls, and this difference was statistically significant (44 ± 18 vs 49 ± 13 kg, t239 = 2.45, P = .015). However, there was no statistical or clinical difference between the groups when height- and age-corrected weight index was compared (ADHD: 112 ± 27.3; control: 113 ± 28.6 kg; t239 = .42, P = .676). On average, it is evident that both ADHD probands and controls have more than adequate body mass (as described earlier in "Methods," an Index of 100 indicates that a subject’s weight is the average expected weight for height and age; an Index >100 indicates greater than the average expected weight). Using the 85% cutoff for severe malnutrition, 8 ADHD children and 5 controls had an abnormal age- and height-corrected weight index. Despite being "malnourished," 4 of the 5 control children were within 1 standard deviation of the mean age-adjusted height of the entire control sample, and the age-adjusted height of the 5th child was >1 standard deviation above the mean. Also, 4 of the 8 ADHD subjects were within 1 standard deviation of the mean age-adjusted height of the entire ADHD sample, and the age-adjusted height of the remaining 4 girls was >1 standard deviation above the mean. In addition, the age- and height-corrected weights of ADHD and control children that were very short as defined above (2 standard deviations below the mean of controls) were all above 85, with averages >110.

Impact of Psychopharmacologic Treatment on Growth
No meaningful differences in any height measurement were detected between psychopharmacologically treated (either lifetime or in the past 2 years) and untreated ADHD subjects (Table 3). Surprisingly, a statistically significant difference was found in absolute weight, with medicated ADHD girls being heavier than unmedicated ones (mean difference 7 kg; P < .05). Moreover, medicated ADHD girls were consistently taller and heavier than their nontreated counterparts on every height and weight measure examined.


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TABLE 3. Effect of Psychopharmacological Treatment on Growth in ADHD Probands

 
Impact of Development on Growth
When we restricted the sample to girls in early pubertal stages (before the onset of menstruation), we found no statistically significant differences in age-corrected heights between ADHD probands and controls (ADHD: .04 ± 1.4; control: .13 ± 1.6; t134 = -.33, P = .741) or age- and parent-corrected heights (ADHD: -.22 ± 1.3; control: -.04 ± 1.5; t128 = -.70, P = .484). Further analyses restricted to children in later pubertal stages (after the onset of menstruation) yielded similar results for age-corrected heights (ADHD: .28 ± 1.0; control: 0.29 ± 1.0; t103 = -.01, P = .988) and age- and parent-corrected heights (ADHD: .17 ± 1.0; control: .05 ± .9; t97 = .63, P = .531).

Impact of Psychiatric Comorbidity and Family History on Growth
Measures of height and weight did not significantly differ between ADHD girls with and without conduct disorder, multiple anxiety disorders, or a family history of ADHD (all P values >.05). However, ADHD girls with comorbid MD had a significantly greater average height- and age-corrected weight index relative to ADHD girls without MD (with MD, N = 21: 126 ± 31.3; without MD, N = 103: 109 ± 25.7; t122 = -2.6, P = .011). To enhance the interpretability of this finding, we modeled weight as a function of MD status, height, and age in a linear regression model. We found that MD females were on average 7.6 kg (16.7 pounds) heavier than female children without MD, holding height and age constant. It should be noted that the average weight index of the ADHD children with MD was greater than the recommended cutoff for obesity, 120.32,36


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Our comprehensive evaluation of growth deficits in girls with ADHD revealed a modest numerical height deficit in ADHD female probands compared with controls; however, these height deficits were only evident in early adolescence and were unrelated to weight deficits or stimulant treatment and they were not significant after correcting for age and parental height. We found no evidence of delayed pubertal development or weight deficits. These findings extend to females previous findings reported in boys documenting that neither ADHD nor its treatment are associated with a detrimental effect on growth in height or weight. To our knowledge, this is the first and most comprehensive evaluation of growth deficits in youth with ADHD addressing issues of gender, developmental stage (childhood vs adolescence), pubertal development, comorbidity, and therapeutics using state of the art methodology for analyzing growth parameters.

Our finding of a modest numerical height deficit in preadolescent ADHD proband girls compared with controls is consistent with our previous findings in boys. That work9 showed that preadolescent boys with ADHD were significantly smaller than boys without ADHD of the same age but that this effect was not apparent in older probands. However, in contrast to the findings in boys, the small height difference in girl probands disappeared after corrections by age and parental height. Although this differential association between ADHD and age- and parental-corrected height was not detected by the gender interaction model, these findings provide preliminary evidence that gender may moderate the association between ADHD and delays in the tempo of growth in height with males being slightly more affected than females. As interaction effects are hampered by low statistical power, future studies with adequate sample sizes should reexamine this gender effect to further clarify this issue.

Also, as previously documented in boys, we failed to find evidence for meaningful effects of stimulant treatment on growth in height in our sample of ADHD girls. This finding extends to girls previously documented findings in boys indicating that stimulant treatment does not detrimentally impact growth in height in children with ADHD. In contrast to our results, 3 of the 6 previous studies that compared height deficits in treated and untreated ADHD children2,3,41 reported stimulant-associated height deficits.4244 However, these studies evaluated preadolescent samples and could not fully assess normalization of height over time. Similarly, although 3 of 4 studies that evaluated the impact of drug holidays in ADHD children found that continued stimulant treatment was associated with height suppression and that rebound growth occurred during drug holidays,1,3,7,45 it remains unclear whether increased growth in height during drug holidays reflects spontaneous normalization of growth in height over time.7,46,47 Moreover, in contrast to previous studies examining height in ADHD youth that used >8 different methods of assessing growth, including direct comparisons of averaged absolute height or percentiles from standardized growth charts,31 methods subject to artifactual distortion and low sensitivity, our study benefited from the use of z scores to assess height deficit.8 Since z scores are more sensitive and less vulnerable to distortions in a sample with a wide range of ages such as ours, they more accurately reflect ADHD-associated height deficits than absolute height. Despite these issues, it seems prudent that children suspected of significant stimulant-associated growth deficits be provided with drug holidays or alternative treatment to help mitigate this problem until further research can confirm our findings. This recommendation should be carefully weighed against the risk for exacerbation of symptoms attributable to drug discontinuation.

As previously documented in boys,9 no meaningful associations were identified between ADHD or its treatment and growth in weight in females with ADHD. In fact, there was evidence of more than adequate body mass in our sample. Thus, these results contradict findings from an early literature that suggested a detrimental impact of stimulant treatment on growth in weight.2,4,5,7,31,43,48

Although an early report linked stimulant-associated weight loss with height loss,2 more recent reports, including ours, have failed to replicate this finding.1,7,31,45,46 These findings add to the growing consensus that stimulant-associated weight deficits are not implicated in ADHD-associated height deficits.

As previously reported in boys,9 no meaningful associations were identified between ADHD or its treatment and pubertal development (Tanner stages) in this large sample of girls with and without ADHD. The ages of onset of Tanner stages were equivalent between the groups in both genders and consistent with the published ages of onset of Tanner stages in the general population.49,50 Taken together, these results provide strong support for the notion that neither ADHD nor its treatment influences pubertal development.

Interestingly, a noteworthy association was found between comorbidity with depression and significant weight gain in females with ADHD. Since no such association was previously observed in male probands with ADHD, these results can be interpreted as suggesting that depression may put female youth with ADHD at high risk to overeat and excessive weight gain. Alternatively, being overweight or obese may place ADHD girls at risk for depression. Also, there could be a third, unmeasured factor acting in ADHD females that contributes to the occurrence of both depression and overweight, such as a metabolic disturbance. Although our cross-sectional study does not allow us to explore these issues, future research efforts using longitudinal designs should attend to them.

The findings reported here should be evaluated against the methodologic limitations. Pubertal stages were based on self-report, not on direct physical examination. However, studies have shown that self-assessed pubertal stages may be highly concordant with physician-assessed pubertal staging.51 Since ours was a cross-sectional study, it permits only weak developmental inferences. However, we could compare growth parameters in younger and older subjects, generating initial developmental hypotheses to be tested in future longitudinal studies. The subgroup analyses comparing ADHD probands stratified by medication status were not as well-powered as our primary comparison of ADHD and control probands. However, we still had 80% power to detect the medium-sized effect of .5, which translates into 23 percentile points, or a height difference of ~1.2 to 1.8 inches, depending on age. Thus, although not as powerful as the primary analyses, the subgroup tests still were powerful enough to detect medium-sized and clinically relevant effects. Finally, our analyses of ADHD girls stratified by stimulant treatment would have benefited from additional information regarding the duration, dose, and interruptions of treatment. Since this was an observational study and not a clinical trial, we do not have detailed information on these parameters.

Despite these limitations, our findings demonstrate minimal deficits in growth in height in preadolescent ADHD girls unrelated to pharmacological treatments. We found no evidence of delayed pubertal development, weight deficits, or a relationship between measures of malnutrition and short stature. These findings extend to females previous findings reported in boys documenting that neither ADHD nor its treatment are associated with a detrimental effect on growth in height or weight. These cross-sectional findings should begin to offset prevailing concerns regarding putative detrimental effects of the pharmacotherapy of ADHD on development and growth. Additional, longitudinal studies sensitive to the developmental and methodological issues inherent in growth measurement are needed to confirm our findings.


    ACKNOWLEDGMENTS
 
This work was supported, in part, by grants from US Public Health Service (National Institute of Mental Health) grant RO1 MH-41314-01A2 (to Dr Biederman).

Dr Biederman receives research support, is a speaker, or is on the advisory board for the following: Cell Tech and Shire Laboratories, Inc, Eli Lilly & Co, Wyeth Ayerst, Pfizer Pharmaceutical, Cephalon Pharmaceutical, Janssen Pharmaceutical, Noven Pharmaceutical, GlaxoSmithKline, Alza/McNeil Pharmaceuticals, Stanley Foundation, National Institute of Mental Health, National Institute of Child Health and Development, and National Institute on Drug Abuse.


    FOOTNOTES
 
Received for publication Mar 7, 2002; Accepted Oct 8, 2002.

Reprint requests to (J.B.) Pediatric Psychopharmacology Unit (ACC 725), Massachusetts General Hospital, Fruit St, Boston, MA 02114. E-mail: jbiederman{at}partners.org


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 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

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