Factors related to methylphenidate response in children with attention deficit/ hyperactivity disorder: a retrospective study
Gokce Nur Say, Koray Karabekiroglu, Murat Yuce
Article No: 3   Article Type :  Research
Objective: We aimed to explore the predictive value of clinical features and self-concept on methylphenidate (MPH) response in children with attention deficit/hyperactivity disorder (ADHD).

Methods: The study had a naturalistic design where the results were analyzed retrospectively. ADHD and comorbidity were diagnosed by Schedule for Affective Disorders and Schizophrenia for School-Age Children Present Lifetime Version (K-SADS-PL). At the baseline assessment, parents completed Turgay DSM-IV Disruptive Disorders Rating Scale (T-DSM-IV-S) and Child Behavior Check List (CBCL); teachers were given T-DSM-IV-S, CBCL. The children completed Piers-Harris Children’s Self-Concept Scale (PHSCS), Children’s Depression Inventory (CDI), and Screen for Child Anxiety Related Emotional Disorders (SCARED). Following 4-8 weeks of MPH treatment, the parents completed T-DSM-IV-S and the clinician completed Clinical Global Impression-Improvement scale (CGI-I). This study included 54 children (18 girls, 36 boys; mean age 9.32±0.21 years old). The sample was divided in “good responders” (GR) and “poor responders” (PR) regarding the response criteria defined by authors.

Results: The PR group had significantly higher rates of anxiety disorders, higher internalizing scores and lower PHSCS scores compared to GR. Comorbid anxiety disorders, elimination disorders and negative self-concept were found to predict poor MPH response by multiple regression analysis.

Conclusions: The results point to the need for additional interventions in the presence of comorbid anxiety, incontinence or poor self-concept in children with ADHD.
Keywords : ADHD, anxiety, enuresis, methylphenidate, self-concept
Dusunen Adam : The Journal of Psychiatry and Neurological Sciences : 2015;28:319-327
Full Text:


Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurobehavioral disorders of childhood associated with psychiatric comorbidity and impairments in adaptive functioning (1,2). The American Academy of Pediatrics (3), an international consensus statement (4), and the Texas Children’s Medication Project (5) have recommended stimulants as the first line of treatment for ADHD. Methylphenidate (MPH) is the only stimulant available in Turkey in immediate-release and long-acting forms.

Despite the effectiveness of MPH, a significant proportion of children in treatment present partial response to medication and negative outcomes (6). In this sense, the identification of clinical predictors of poor response to MPH has implications for effective treatment.

Children with ADHD and their families are at risk for several comorbid clinical conditions that may be associated with poorer outcomes. Children with ADHD frequently present comorbid disorders, such as conduct disorder (CD), oppositional defiant disorder (ODD), or mood and anxiety disorders (7).

The ADHD literature has revealed that the most consistent predictors of a positive response to stimulants include higher levels of attention deficiency (8-11), higher levels of hyperactivity (10,12,13), younger age (8,11), and higher intellectual functioning (8,14,15). The most consistent predictor of a negative stimulant medication response is comorbidity of internalizing psychopathology (8,13,16,17). The literature is inconsistent regarding the predictive value of comorbid externalizing problems (17,18). Demographic factors including gender, years of education, and socioeconomic status have generally not been predictive of medication response (13,22). In the Multimodal Treatment Study of Children with ADHD (MTA study), four moderators of treatment response were identified in school-aged children with ADHD: 1) co-morbid anxiety disorder in the child, 2) initial severity of the child’s ADHD, 3) child’s intelligence quotient (IQ), and 4) presence of high depressive symptoms in parents (20,21).

Children with ADHD may be challenged in many aspects of life, displaying a predisposition for academic under-achievement, lower self-concept and disruption in relations with peers, teachers and parents (22,23). Findings of previous studies concerning the relationship between ADHD and self-concept are inconsistent, with some studies indicating that self-concept scores are higher in children with ADHD than in those without ADHD (2), others reporting that scores are lower in children with ADHD (24), and some reporting no difference between children with or without ADHD (23). Although there is evidence that MPH has a promoting effect on self-concept of children with ADHD (24), further research is needed to understand the effect of self-concept on treatment outcome.

To our knowledge, the roles of clinical features, comorbid disorders and self-concept of children with ADHD as predictors of treatment response have not been conjointly evaluated in a naturalistic setting until now. The accurate identification of factors that influence MPH response may assist mental health professionals in developing more effective treatment strategies involving additional pharmacological and/or behavioral interventions. Therefore, we aimed to evaluate the effect of clinical factors (severity and subtype of ADHD, comorbid diagnoses, internalizing and externalizing problems) and self-concept on MPH response in a naturalistic sample of children and adolescents with ADHD. The main hypotheses of this study were comorbidity or low self-concept may be associated with poor response to MPH in children with ADHD.


The study had a naturalistic design and the results were analyzed retrospectively. All participants were recruited among the outpatient referrals to Ondokuz Mayis University, Faculty of Medicine, Department of Child and Adolescent Psychiatry in Samsun, Turkey. We reviewed medical records of patients diagnosed with ADHD between 2007 and 2008. Inclusion criteria for the study were the following: 1) a diagnosis of ADHD according to DSM-IV criteria, 2) chronological age between 7 and 18 years, 3) no previous/current ADHD treatment at referral, 4) having completed at least 4 weeks of MPH treatment, 5) having completed pre/post-treatment visits and assessment scales. Psychotic disorder, bipolar disorder, mental retardation, and pervasive developmental disorders were accepted as exclusion criteria. Additionally, patients with neurological disorders or significant medical problems were also excluded.

Baseline Assessment

Before beginning the treatment, all outpatients underwent a comprehensive clinical assessment including sociodemographic data, medical history and psychiatric examination routinely. After psychiatric examination and ADHD diagnosis, the patients and their parents completed the following rating scales.

Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): ADHD and comorbid psychiatric disorders were diagnosed by clinical examination using KSADS-PL. This scale was developed by Kaufman et al. (26) and Gokler et al. (27) reported that the Turkish version of the scale was valid and reliable for use in the Turkish population.

Turgay DSM-IV-Based Disruptive Behavioral Disorders Screening and Rating Scale (T-DSM-IV-S): The severity of baseline ADHD, ODD and CD were evaluated by T-DSM-IV-S completed by parents and teachers. The Scale was developed by Turgay (1995) and translated and adapted to Turkish by Ercan et al. (28) The scale is based on DSM-IV diagnostic criteria and evaluates inattention (IA: 9 items), hyperactivity-impulsivity (HI: 9 items), opposition defiance (OD: 8 items), and CD: 15 items. Greater scores reflect increase in severity. Symptoms are scored by assigning a severity estimate for each symptom on a 4-point Likert-type scale (0=not at all, 1=just a little, 2=quite a bit, and 3=very much).

Child Behavior Checklist (CBCL): Internalizing and externalizing problems were evaluated by CBCL completed by parents and teachers. The CBCL is a 118-item questionnaire that assesses the emotional and behavioral symptoms of a child (29,30). The parents scored each problem item as 0=not true, 1=somewhat/sometimes true, or 2=very/often true. The items consisted of eight syndrome scales: withdrawn, somatic complaints, anxious/depressed, social problems, thought problems, attention problems, delinquent behavior, and aggressive behavior. The scores of these eight scales, as well as scores for total behavior, internalizing, and externalizing problems were derived.

Piers-Harris Children’s Self Concept Scale (PHSCS): The PHSCS is an 80-item, self-report instrument designed to assess the self-concept in children and adolescents aged 6 to 18 years (31). Yes or no responses determine the scores for each item in either a negative or positive direction. Higher scores reflect a more positive self-concept.

Children’s Depression Inventory (CDI): CDI is a self-report questionnaire used to evaluate depression in children aged 6-17 years. It was reported that the Turkish version of the scale was valid and reliable for use in the Turkish population (32).

Screen for Child Anxiety-Related Emotional Disorders (SCARED): Children are asked to mark the most appropriate response to each item for evaluation of anxiety. The original scale was developed by Birmaher et al. (33), and Karaceylan (34) reported that the Turkish version of the scale was valid and reliable for use in the Turkish population.

Assessment of Treatment Response to


Response to MPH treatment and clinical improvement were assessed at the end of 4-8 weeks of medication using the following tools.

1-T-DSM-IV-S was completed again by parents.

2-Clinical Global Impression Scale- Improvement subscale (CGI-I) score was given by the clinician according to clinical interview with patients and their parents. Clinical improvement was rated on a scale of 1-7. Lower scores reflect reduced psychopathology and greater therapeutic effectiveness. CGI-I score 1 means very much improved and 7 means very much worse (35).

There were two criteria defining good response to MPH treatment: 1) more than 30% decrease in T-DSM-IV-S inattention and/or hyperactivity-impulsivity scores rated by parents, 2) CGI-I score of 1 or 2 rated by clinician. The participants were accepted as “good responders” (GR) to MPH if at least one of these criteria was present following the treatment. The remainder of the sample was accepted as “poor responders” (PR).


The research was approved by the Ethics Committee of the Faculty of Medicine, Ondokuz Mayis University. All assessments were done as part of a routine clinical work-up for the patients seen in the outpatient clinic. The study was comprised of two visits. The first visit consisted of baseline assessment. The purpose of the first visit was diagnostic assessment, completing baseline-rating scales and prescribing MPH. ADHD and comorbid disorders were diagnosed by clinical examination using K-SADS-PL. Subtype of ADHD was evaluated according to DSM-IV. During the first visit, parents completed T-DSM-IV-S and CBCL. Teachers were also given T-DSM-IV-S and CBCL and completed them before MPH treatment began. The children completed PHSCS, CDI, and SCARED during the first visit. Following these assessments, MPH was prescribed. Medication choice (short or long-acting MPH), dosage and the date for the second visit were determined on an individual basis. The general principal was to start with a low dosage, as is recommended in product monographs. The second visit consisted of MPH response assessment. The purpose of the second visit was to assess any changes in ADHD symptomatology. It took place 4 to 8 weeks after the recommended treatment began. The parents were given T-DSM-IV-S again. The clinician evaluated the clinical improvement of ADHD symptoms by using CGI-I scale in the second visit.

Statistical Analysis

Data were analyzed using SPSS for Windows version 16 (SPSS Inc, Chicago, IL). We calculated descriptive statistics for the overall sample. Then, the sample was divided into two groups named GR and PR. Mann-Whitney U test and Chi-square test were used for comparing two groups. For 2x2 tables, Fischer’s exact test was used if the table had a cell with an expected frequency of less than five. The predictors of response were assessed with logistic regression analysis; predictors included age, gender, parents’ age/ education level, MPH type/dose, duration of treatment, ADHD subtype, presence of comorbid disorders, severity of baseline ADHD/ODD/CD symptoms, depression and anxiety scores, self-concept scores and CBCL scores. All values were reported as either percentages or mean±standard deviation. A value of p<0.05 was accepted as statistically significant.


The sample of this study was composed of 54 children and adolescents with ADHD diagnosis aged between 7-13 years (mean age 9.32±0.21 years). Eighteen (33.0%) of them were girls and 36 (67.0%) were boys. Among these 54 children, 26.0% were diagnosed as inattentive subtype (ADHD/I) and the other 74.0% as combined subtype (ADHD/C). Comorbid psychiatric diagnoses were present in 69.0% of subjects. ODD was the most common comorbidity with a rate of 35.0%, and 15.0% of the patients had CD, 25.0% anxiety disorder, 11.0% depressive disorder, 7.5% tic disorder, and 9.5% had elimination disorder. Long-acting MPH was prescribed in 72.2% of patients while 27.8% were prescribed the short-acting form. The dosage of daily prescribed MPH ranged between 10 and 36mg (mean dosage 22.00±6.61mg/day). The mean duration of MPH use (time passed from first visit to second visit) was 6.87±1.46 weeks (range 4-8 weeks). Forty-five percent of subjects met the MPH response criteria and were inserted in the GR group.

Comparison of Good and Poor Responders

The whole sample was divided into two groups according to treatment response. The GR (n=24) and PR groups (n=30) did not show any significant differences in terms of age, gender, parents’ age/education level, MPH type/dose, duration of treatment, ADHD subtype and baseline T-DSM-IV-S scores. The PR group showed significantly higher CDI scores and lower PHSCS scores. CBCL anxious/depressed subscale scores rated by parents and CBCL Internalizing scores rated by teachers were also significantly higher in PR than the GR group. Mean scores of scales and group comparisons according to treatment response are shown in Table 1.

The rate of psychiatric comorbidity was 93.3% in the PR and 37.5% in the GR group, respectively, and the difference between groups was statistically significant. Among comorbid psychiatric disorders, the two groups showed statistically significant difference only in anxiety disorders rates. Comorbidity rates and comparisons of groups according to treatment response are summarized in Table 2.

Predictors of Response to Methylphenidate

Logistic regression analysis was performed to determine the predictors of MPH response. Presence of comorbid psychiatric diagnosis and lower self-concept scores estimated by PHSCS were predictors of poor MPH response. Logistic regression analysis was applied again to subgroups of comorbid diagnosis to discriminate which comorbid disorders were predictive. Presence of comorbid anxiety disorders and elimination disorders predicted poor MPH response. Predictors of MPH response are summarized in Table 3.


In this study, nearly half of the participants were evaluated as good responders to MPH treatment, while the remaining of the sample showed mild or no improvement and was classified as poor responders. The rate of MPH response estimated in our study was lower compared to results of previous studies. Barkley reported that approximately 75.0% of ‘‘hyperkinetic’’ children receiving stimulant medications respond favorably, while the remaining 25.0% are unchanged or made worse (36). Similar response rates were also reported in controlled clinical trials. For example, Efron et al. (37) found an MPH response rate of 72.0% and Greenhill et al. (38) found an MPH response rate of 77.0%. The inconsistency between response rates of our study and previous ones can be explained by the differences in sample characteristics and methodological diversity. The lower response rate to MPH in this study may be related to criteria that were used to define response. It was reported that the response rate can vary from 50% to 80% depending on how medication response is defined (8,9,13).

The results of the current study regarding rates of comorbid psychiatric disorders were similar to previous reports. Comorbid psychiatric diagnosis were present in 69.0% of subjects. ODD was the most common comorbidity with a rate of 35.0%, and 15.0% of them had CD, 25.0% anxiety disorder, 11.0% depressive disorder, 7.5% tic disorder, and 9.5% had elimination disorder in our study. It was reported that between 50.0% and 90.0% of children diagnosed with ADHD have comorbid psychiatric conditions at the time of diagnosis (39). Previous studies revealed that approximately 35.0% of children with ADHD also have anxiety (40); 4.0% have a comorbid mood disorder (41); 40.0% are diagnosed with ODD, and 14.0% with CD (42).

One of the major findings of the present study was that the presence of any comorbid psychiatric disorder predicted poor MPH response. Furthermore, among comorbid diagnoses, anxiety disorders and elimination disorders were found to be the predictors of poor MPH response in this study. Our result was consistent with most of the ADHD literature revealing that the presence of comorbid anxiety disorders in ADHD was predictive of a poorer response to MPH than was the case for non-anxious ADHD children (8,17). It is also known that there is an increased rate of elimination disorders in children with ADHD (43). Findings from this study showed that identification of anxiety and incontinence in children with ADHD is of great clinical relevance due to its relationship with poor MPH response. When one of these disorders co-exists with ADHD, pharmacological and/or behavioral treatments are required for them in addition to MPH medication.

The results of this study were remarkable reporting negative self-concept as a predictor of poor MPH response in ADHD. Self-concept is the totality of the individual’s cognitive image of him- or herself; it is the cognitive component of the self. A positive self-concept in children is associated with improved academic performance, healthy social relationships, and dynamic movement through successive developmental stages. The problems that children with ADHD experience in peer relationships and school performance are highly specific domains that can influence self-concept (44). These children are frequently criticized and disapproved by their parents, teachers and peers; therefore, they may develop perceptions of a poor self-concept. The result of this study points to the need to assess self-concept in children with ADHD for determining appropriate treatment strategy.

There were some limitations of the present study. First of all, this study had a naturalistic design and it was an open trial, where the results were collected retrospectively. Second, treatment response depended on the criteria that were determined by the authors. Although we used two different criteria, the results may vary with another type of definition. Third, dose increment was not applied to patients with poor response since this study included only one control visit. Treatment response could change in some patients when given higher doses. Finally, teachers could not complete rating scales after MPH treatment. For this reason, MPH response was assessed depending on ratings of parents and clinician.

To summarize, in our study, children who have comorbid anxiety or elimination disorders are less likely to respond to MPH. This study highlights the importance of considering comorbid disorders and the possible need for additional pharmacological and/or behavioral interventions in children with ADHD. Additionally, our results reveal the preliminary evidence of self-concept as a predictor of MPH response. Therefore, interventions aimed at improving self-concept – such as emphasizing personal strengths, determining attainable goals, helping to develop coping skills, and providing support of parents, peers and teachers – may be beneficial. Further longitudinal studies are needed for researching the effect of self-concept improvement on MPH response.


1.Barkley RA. International consensus statement on ADHD. J Am Acad Child Adolesc Psychiatry 2002; 41:1389. [CrossRef]

2.Goldman L, Genel M, Bezman R, Slanetz PJ. Diagnosis and treatment of attention-deficit/hyperactivity disorder in children and adolescents. Council on Scientific Affairs, American Medical Association. JAMA 1998; 279:1100-1107. [CrossRef]

3.American Academy of Pediatrics. Subcommittee on Attention-Deficit/Hyperactivity Disorder and Committee on Quality Improvement. Clinical practice guideline: treatment of the school-aged child with attention-deficit/hyperactivity disorder. Pediatrics 2001; 108:1033-1044.[CrossRef]

4.Kutcher S, Aman M, Brooks SJ, Buitelaar J, van Daalen E, Fegert J, Findling RL, Fisman S, Greenhill LL, Huss M, Kusumakar V, Pine D, Taylor E, Tyano S. International consensus statement on attention-deficit/hyperactivity disorder (ADHD) and disruptive behaviour disorders (DBDs): clinical implications and treatment practice suggestions. Eur Neuropsychopharmacol 2004; 14:11-28. [CrossRef]

5.Pliszka SR, Crismon ML, Hughes CW, Corners CK, Emslie GJ, Jensen PS, McCracken JT, Swanson JM, Lopez M; Texas Consensus Conference Panel on Pharmacotherapy of Childhood Attention Deficit Hyperactivity Disorder. The Texas Children’s Medication Algorithm Project: revision of the algorithm for pharmacotherapy of attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 2006; 45:642-657. [CrossRef]

6.Barbaresi WJ, Katusic SK, Colligan RC, Weaver AL, Leibson CL, Jacobsen SJ. Long-term stimulant medication treatment of attention-deficit/hyperactivity disorder: results from a population-based study. J Dev Behav Pediatr 2006; 27:1-10. [CrossRef]

7.Pliszka S; AACAP Work Group on Quality Issues. Practice parameter for the assessment and treatment of children and adolescents with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 2007; 46:894-921. [CrossRef]

8.Buitelaar JK, Van der Gaag RJ, Swaab-Barneveld H, Kuiper M. Predication of clinical response to methylphenidate in children with attention-deficit hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 1995; 34:1025-1032. [CrossRef]

9.Chabot RJ, Orgill AA, Crawford G, Harris MJ, Serfontein G. Behavioral and electrophysiologic predictors of treatment response to stimulants in children with attention disorders. J Child Neurol 1999; 14:343-351. [CrossRef]

10.Hermens DF, Cooper NJ, Kohn M, Clarke S, Gordon E. Predicting stimulant medication response in ADHD: evidence from an integrated profile of neuropsychological, psychophysiological and clinical factors. J Integr Neurosci 2005; 4:107-121. [CrossRef]

11.Thomson JB, Varley CK. Prediction of stimulant response in children with attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol 1998; 8:125-132. [CrossRef]

12.Denney CB, Rapport MD. Predicting methylphenidate response in children with ADHD: theoretical, empirical, and conceptual models. J Am Acad Child Adolesc Psychiatry 1999; 38:393-401. [CrossRef]

13.Zeiner P, Bryhn G, Bjercke C, Truyen K, Strand G. Response to methylphenidate in boys with attention-deficit hyperactivity disorder. Acta Paediatr 1999; 88:298-303. [CrossRef]

14.Aman MG. Stimulant drugs in the developmental disabilities revisited. Journal of Developmental and Physical Disabilities 1996; 8:347-365. [CrossRef]

15.Aman MG, Buican B, Arnold LE. Methylphenidate treatment in children with borderline IQ and mental retardation: analysis of three aggregated studies. J Child Adolesc Psychopharmacol 2003; 13:29-40. [CrossRef]

16.DuPaul GJ, Barkley RA, McMurray MB. Response of children with ADHD to methylphenidate: interaction with internalizing symptoms. J Am Acad Child Adolesc Psychiatry 1994; 33:894-903. [CrossRef]

17.Pliszka SR. Comorbidity of attention-deficit/ hyperactivity disorder with psychiatric disorder: an overview. J Clin Psychiatry 1998; 59(Suppl 7):50-58.

18.Hechtman L. Predictors of long-term outcome in children with attention-deficit/hyperactivity disorder. Pediatr Clin North Am 1999; 46:1039-1052. [CrossRef]

19.Spencer T, Biederman J, Wilens T, Doyle R, Surman C, Prince J, Mick E, Aleardi M, Herzig K, Faraone S. A large, double-blind, randomized clinical trial of methylphenidate in the treatment of adults with attention-deficit/hyperactivity disorder. Biol Psychiatry 2005; 57:456-463. [CrossRef]

20.The MTA Cooperative Group. Moderators and mediators of treatment response for children with attention-deficit/hyperactivity disorder: the Multimodal Treatment Study of children with Attention-deficit/hyperactivity disorder. Arch Gen Psychiatry 1999; 56:1088-1096.[CrossRef]

21.Owens EB, Hinshaw SP, Kraemer HC, Arnold LE, Abikoff HB, Cantwell DP, Conners CK, Elliott G, Greenhill LL, Hechtman L, Hoza B, Jensen PS, March JS, Newcorn JH, Pelham WE, Severe JB, Swanson JM, Vitiello B, Wells KC, Wigal T. Which treatment for whom for ADHD? Moderators of treatment response in the MTA. J Consult Clin Psychol 2003; 71:540-552. [CrossRef]

22.Bussing R, Zima BT, Perwien AR. Self-esteem in special education children with ADHD: relationship to disorder characteristics and medication use. J Am Acad Child Adolesc Psychiatry 2000; 39:1260-1269. [CrossRef]

23.Treuting JJ, Hinshaw S. Depression and self-esteem in boys with attention-deficit/hyperactivity disorder: associations with comorbid aggression and explanatory attributional mechanisms. J Abnorm Child Psychol 2001; 29:23-39. [CrossRef]

24.Barber S, Grubbs L, Cottrell B. Self-perception in children with attention deficit/hyperactivity disorder. J Pediatr Nurs 2005; 20:235-245.[CrossRef]

25.Ozturk M, Sayar K, Tuzun U, Kandil ST. Methylphenidate and self-esteem in attention deficit hyperactivity disorder. Bulletin of Clinical Psychopharmacology 2000; 10:139-143. (Turkish)

26.Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, Moreci P, Williamson D, Ryan N. Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry 1997; 36:980-988. [CrossRef]

27.Gokler B, Unal F, Pehlivanturk B, Kultur EC, Akdemir D, Taner Y. Reliability and validity of schedule for affective disorders and schizophrenia for school age children-present and lifetime version- Turkish version (K-SADS-PL-T). Turkish Journal of Child and Adolescent Mental Health 2004; 11:109-116. (Turkish)

28.Ercan ES, Amado S, Somer O. An attempt to develop a test battery for attention deficit hyperactivity disorder and disruptive disorders. Turkish Journal of Child and Adolescent Mental Health 2001; 8:132-144. (Turkish)

29.Achenbach TM, Edelbrock C. (editors) The Child Behavior Checklist and Revised Child Behavior Profile. Burlington VT: University Associates in Psychiatry, 1991.

30.Erol N, Akcakin M, Aslan L. Adaptation and standardization study of Childhood Behavior Checklist for 6-18 years old Turkish children. National Child and Adolescent Psychiatry Congress, Proceeding Book, 1995. (Turkish)

31.Piers EV. The Piers–Harris Children’s Self-Concept Scale, Revised Manual. Los Angeles, CA: Western Psychological Services, 1986.

32.Oy B. Children’s Depression Inventory: Study of validity and reliability. Turkish J Psychiatry 1991; 2:132-136. (Turkish)

33.Birmaher B, Khetarpal S, Brent D, Cully M, Balach L, Kaufman J, Neer SM. The Screen for Child Anxiety Related Emotional Disorders (SCARED): scale construction and psychometric characteristics. J Am Acad Child Adolesc Psychiatry 1997; 36:545-53. [CrossRef]

34.Karaceylan Cakmakci F. Validity and Reliability study of Screen for Child Anxiety-Related Emotional Disorder. Unpublished Expertise Thesis, Department of child and adolescent psychiatry Kocaeli University, Faculty of Medicine, Kocaeli, 2004. (Turkish)

35.Guy W. Clinical global impressions. ECDEU assessment manual for psychopharmacology, revised. Rockville, 1976, 218-219.

36.Barkley RA. A review of stimulant drug research with hyperactive children. J Child Psychol Psychiatry 1997; 18:137-165. [CrossRef]

37.Efron D, Jarman FC, Barker MJ. Child and parent perceptions of stimulant medication treatment in attention deficit hyperactivity disorder. J Paediatr Child Health 1998; 34:288-292. [CrossRef]

38.Greenhill LL, Swanson JM, Vitiello B, Davies M, Clevenger W, Wu M, Arnold LE, Abikoff HB, Bukstein OG, Conners CK, Elliott GR, Hechtman L, Hinshaw SP, Hoza B, Jensen PS, Kraemer HC, March JS, Newcorn JH, Severe JB, Wells K, Wigal T. Impairment and deportment responses to different methylphenidate doses in children with ADHD: The MTA titration trial. J Am Acad Child Adolesc Psychiatry 2001; 40:180-187. [CrossRef]

39.Spencer T, Biederman J, Wilens T, Harding M, O’Donell D, Griffen S. Pharmacotherapy and attention-deficit hyperactivity disorder across the life cycle. J Am Acad Child Adolesc Psychiatry 1996; 35:409-432. [CrossRef]

40.Biederman J. Attention-deficit/hyperactivity disorder: a selective overview. Biol Psychiatry 2005; 57:1215-1220. [CrossRef]

41.Busch B, Biederman J, Cohen LG, Sayer JM, Monuteaux MC, Mick E, Zallen B, Faraone SV. Correlates of ADHD among children in pediatric and psychiatric clinics. Psychiatr Serv 2002; 53:1103-1111. [CrossRef]

42.Pliszka SR. Patterns of psychiatric comorbidity with attention-deficit/hyperactivity disorder. Child Adolesc Psychiatric Clin N Am 2000; 9:525-540.

43.Ghanizadeh A. Comorbidity of enuresis in children with attention-deficit/hyperactivity disorder. J Atten Disord 2010; 13:464-467.[CrossRef]

44.Houck G, Kendall J, Miller A, Morrell P, Wiebe G. Self-concept in children and adolescents with attention deficit hyperactivity disorder. J Pediatr Nurs 2011; 26:239-247. [CrossRef]

11th National Alcohol and Substance Abuse Congress
Creative Commons Lisansı

Dusunen Adam: The Journal of Psychiatry and Neurological Sciences is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Düşünen Adam - Psikiyatri ve Nörolojik Bilimler Dergisi
Bakırköy Prof. Dr. Mazhar Osman Ruh Sağlığı ve Sinir Hastalıkları Eğitim ve Araştırma Hastanesi
Yerküre Tanıtım ve Yayıncılık Hizmetleri A.Ş.