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1.
Psychother Psychosom ; 67(4-5): 202-13, 1998.
Article in English | MEDLINE | ID: mdl-9693347

ABSTRACT

Trichotillomania is a little-known disorder with wider prevalence and more significant consequences than previously believed. While sharing similarities with obsessive-compulsive disorder, compelling differences from it have also been noted. This fact, coupled with recognized overlap with other obsessive-compulsive spectrum disorders, has resulted in the ongoing evolution of our conceptualization of this illness. While empirical evidence supports the use of behavioral treatment and pharmacotherapy, considerable research is still needed before we can promise highly effective interventions tailored to the individual hairpuller. This review will summarize the evidence supporting, as well as challenging, a hypothesized link with obsessive-compulsive disorder. Current treatment approaches will be reviewed, as well as evidence for their efficacy. Suggestions will be made for future directions in this field.


Subject(s)
Trichotillomania , Animals , Antidepressive Agents/therapeutic use , Behavior Therapy/methods , Behavior Therapy/standards , Brain/physiopathology , Clinical Trials as Topic , Comorbidity , Disease Models, Animal , Family Health , Humans , Motivation , Obsessive-Compulsive Disorder/classification , Obsessive-Compulsive Disorder/physiopathology , Obsessive-Compulsive Disorder/psychology , Selective Serotonin Reuptake Inhibitors/therapeutic use , Terminology as Topic , Trichotillomania/classification , Trichotillomania/epidemiology , Trichotillomania/physiopathology , Trichotillomania/psychology , Trichotillomania/therapy
2.
J Am Acad Child Adolesc Psychiatry ; 32(5): 1032-7, 1993 Sep.
Article in English | MEDLINE | ID: mdl-8407748

ABSTRACT

OBJECTIVE: We evaluated the role of pregnancy, delivery, and infancy complications (PDICs) in the etiology of attention deficit disorder (ADD) addressing issues of comorbidity and familiarity by formulating and testing multiple hypotheses. METHOD: Subjects were six to 17-year-old boys with DSM-III attention deficit disorder (ADD, N = 73), psychiatric (N = 26), and normal (N = 26) controls and their relatives. Information on PDICs was obtained from the mothers in a standardized manner blind to the proband's clinical status. RESULTS: Using odds ratio analyses, an association was found between ADD and PDICs that was strongest for the comorbid and nonfamilial subtypes. In contrast, noncomorbid and familial ADD subgroups differed less from normal controls in the risk for PDICs. CONCLUSIONS: The increased risk for PDICs in nonfamilial ADD children and the lack of evidence for increased risk among familial ADD patients suggests that PDICs may be part of nongenetic etiologic mechanisms in this disorder, especially for children who have comorbid disorders.


Subject(s)
Attention Deficit Disorder with Hyperactivity/genetics , Brain Damage, Chronic/genetics , Obstetric Labor Complications/epidemiology , Pregnancy Complications/epidemiology , Adolescent , Attention Deficit Disorder with Hyperactivity/epidemiology , Attention Deficit Disorder with Hyperactivity/psychology , Brain Damage, Chronic/epidemiology , Brain Damage, Chronic/psychology , Child , Comorbidity , Female , Humans , Male , Pregnancy , Risk Factors
3.
J Am Acad Child Adolesc Psychiatry ; 32(1): 166-74, 1993 Jan.
Article in English | MEDLINE | ID: mdl-7679093

ABSTRACT

Using structured psychiatric interviews, 73 attention deficit disorder (ADD) patients, 26 psychiatric control patients, 26 normal controls, and all available first degree relatives of these index children were examined. ADD subgroups with and without comorbid psychiatric disorders did not differ on rates of specific ADD symptoms. The construct of ADD is internally consistent as measured by Cronbach's alpha. The diagnostic efficiency of individual items is presented. A receiver operating characteristic-based procedure is used to create an ADD diagnostic algorithm that is more efficient in discriminating ADD children from controls than the DSM-III-based clinical diagnosis. Cross-validation with family study data shows this procedure to be superior to the procedure used for the DSM-III-R diagnosis. The results show that proponents of conditional probability and receiver operating characteristic analyses are correct in asserting that the examination of symptom combinations may result in better diagnostic algorithms.


Subject(s)
Algorithms , Attention Deficit Disorder with Hyperactivity/diagnosis , Attention Deficit Disorder with Hyperactivity/classification , Attention Deficit Disorder with Hyperactivity/complications , Child , Developmental Disabilities/complications , Developmental Disabilities/diagnosis , Family , Female , Humans , Interview, Psychological , Male , Mental Disorders/complications , Mental Disorders/psychology , Mental Health , Psychiatric Status Rating Scales
4.
Arch Gen Psychiatry ; 49(9): 728-38, 1992 Sep.
Article in English | MEDLINE | ID: mdl-1514878

ABSTRACT

We examined 140 probands with attention deficit hyperactivity disorder, 120 normal controls, and their 822 first-degree relatives using "blind" raters and structured diagnostic interviews. Compared with controls, probands with attention deficit hyperactivity disorder were more likely to have conduct, mood, and anxiety disorders. Compared with relatives of controls, relatives of probands with attention deficit hyperactivity disorder had a higher risk for attention deficit hyperactivity disorder, antisocial disorders, major depressive disorder, substance dependence, and anxiety disorders. Patterns of comorbidity indicate that attention deficit hyperactivity disorder and major depressive disorders may share common familial vulnerabilities, that attention deficit hyperactivity disorder plus conduct disorder may be a distinct subtype, and that attention deficit hyperactivity disorder and anxiety disorders are transmitted independently in families. These results extend previous findings indicating family-genetic influences in attention deficit hyperactivity disorder by using both pediatrically and psychiatrically referred proband samples. The distributions of comorbid illnesses in families provide further validation for subgrouping probands with attention deficit hyperactivity disorder by comorbidity.


Subject(s)
Attention Deficit Disorder with Hyperactivity/genetics , Family , Adolescent , Age Factors , Antisocial Personality Disorder/epidemiology , Anxiety Disorders/epidemiology , Attention Deficit Disorder with Hyperactivity/diagnosis , Attention Deficit Disorder with Hyperactivity/epidemiology , Child , Child Behavior Disorders/epidemiology , Comorbidity , Depressive Disorder/epidemiology , Female , Humans , Male , Psychiatric Status Rating Scales , Risk Factors , Social Class , Substance-Related Disorders/epidemiology
5.
J Am Acad Child Adolesc Psychiatry ; 31(3): 439-48, 1992 May.
Article in English | MEDLINE | ID: mdl-1592775

ABSTRACT

A widely variable overlap ranging from 10 to 92% has been reported in the literature between attention deficit disorder with hyperactivity (ADDH) and learning disability (LD), most likely a result of inconsistencies in the criteria used to define LD in different studies. The following study seeks to more accurately determine rates of LD in clinically referred children. Using a psychometrically reliable methodological approach, it was expected that the rate of LD in ADDH children would be far more modest than previously reported. Subjects were referred children with ADDH (N = 60), children with academic problems (N = 30), and normal controls (N = 36) of both sexes with available psychological and achievement testing. Using a liberal definition of LD, significant differences were found between the groups (ADDH = 38% versus academic problems = 43% versus normals = 8%; p = 0.002). In contrast, more modest rates were found using two more stringent methods of assessment (23 and 17%; 10 and 3%; 2 and 0%, respectively; p = 0.02). Arithmetic-based LD appears to be equally identified by both stringent methods, whereas the liberal definition overidentified children in all three groups. These findings show that a liberal definition of LD overidentifies LD not only in ADDH children but also in normal children.


Subject(s)
Attention Deficit Disorder with Hyperactivity/diagnosis , Learning Disabilities/diagnosis , Achievement , Attention Deficit Disorder with Hyperactivity/epidemiology , Attention Deficit Disorder with Hyperactivity/psychology , Child , Comorbidity , Cross-Sectional Studies , Dyslexia/diagnosis , Dyslexia/epidemiology , Dyslexia/psychology , Female , Humans , Incidence , Learning Disabilities/epidemiology , Learning Disabilities/psychology , Male , Psychiatric Status Rating Scales , United States/epidemiology
6.
J Am Acad Child Adolesc Psychiatry ; 31(3): 449-54, 1992 May.
Article in English | MEDLINE | ID: mdl-1592776

ABSTRACT

Studies have investigated associations between the Child Behavior Checklist (CBCL) and clinical diagnoses without assessing the impact of comorbidity on these results. This study evaluates associations between parental reports from the CBCL and a structured diagnostic interview in children with attention deficit disorder with hyperactivity (ADDH) stratified by the presence (ADDH+) or absence (ADDH-) of psychiatric comorbidity. Interview-defined ADDH children scored significantly worse on all scales of the CBCL compared with scores from interview-defined non-ill comparisons. However, these findings were accounted for by the subgroup of children with ADDH+. The results indicate a good correspondence between CBCL-based ratings and interview-defined diagnoses. These findings also suggest that the CBCL may be a good screening instrument, not only for ADDH but also for comorbid psychiatric disorders.


Subject(s)
Attention Deficit Disorder with Hyperactivity/diagnosis , Child Behavior Disorders/diagnosis , Personality Assessment/statistics & numerical data , Adolescent , Attention Deficit Disorder with Hyperactivity/epidemiology , Attention Deficit Disorder with Hyperactivity/psychology , Child , Child Behavior Disorders/epidemiology , Child Behavior Disorders/psychology , Comorbidity , Humans , Male , Psychiatric Status Rating Scales/statistics & numerical data , Psychometrics , Risk Factors , United States/epidemiology
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