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Enregistrement W2072047403 · doi:10.1111/j.1469-8749.2008.03024.x

‘Mental health of children and adolescents with Duchenne muscular dystrophy’

2008· letter· en· W2072047403 sur OpenAlexaffabout
Margaret Steele, Elizabeth Taylor, Catharina Young, Patricia McGrath, Brian Lyttle, Brenda Davidson

Notice bibliographique

RevueDevelopmental Medicine & Child Neurology · 2008
Typeletter
Langueen
DomainePsychology
ThématiqueChildren's Physical and Motor Development
Établissements canadiensUniversity of TorontoThames Valley Children's CentreWestern University
Organismes subventionnairesnon disponible
Mots-clésCBCLMental healthWechsler Intelligence Scale for ChildrenChild Behavior ChecklistPopulationPsychologyWechsler Adult Intelligence ScaleAnxietySchedule for Affective Disorders and SchizophreniaClinical psychologyPsychiatryChecklistMedicinePediatricsCognition

Résumé

récupéré en direct d'OpenAlex

SIR–There is limited literature available on the mental health of children and adolescents with DMD. Most of the information is based on anecdotal information obtained predominantly from parents. In completed studies that address the mental health of children with DMD, few standardized measures of mental health in children and adolescents with DMD have been used. A pilot study in which 10 male children and adolescents between the ages of 8 and 15 years and their parent(s) from the Thames Valley Children’s Centre, London, Ontario, Canada were randomly chosen to participate using a block randomization design. The children and adolescents were administered the following measures: The Schedule for Affective Disorders and Schizophrenia for School-Age Children (KSADS);1 Revised Children’s Manifest Anxiety Scale (RCMAS);2 Children’s Depression Inventory (CDI);3 Piers-Harris Children’s Self-Concept Scale;4 and Wechsler Intelligence Scale for Children: Third Edition (WISC-III).5 The following measures were administered to the parents: KSADS-Parent Version;1 Child Behavior Checklist (CBCL);6 and Conners’ Parent Rating Scale-Revised.7 To our knowledge, this is the first study of children and adolescents with DMD systematically using common standardized measures to evaluate their mental health. The KSADS appears to be a relatively good instrument to utilize with this population. It, however, is best administered to the adolescent with at least low average intelligence and the parents of children and adolescents with DMD. Some of the questions on the KSADS which address attention-deficit–hyperactivity disorder (ADHD) symptoms are not as useful as children with DMD cannot display the same type of hyperactivity symptoms, such as fidgetiness, due to their motor problems. The Conners’ Rating Scale and the CBCL, similar to KSADS, have measures regarding physical movement (e.g. restless, fidgety, running around at dinner time), which may not be rated high if the child has limited mobility. In addition, the KSADS questions on enuresis do not take into account the difficulty the child with DMD has going to the bathroom at night independently. Some very interesting findings were noted. Half of the children have ADHD, which has not been reported in the literature. Children with DMD have been identified as having acting-out behavior8–11 in the literature. This finding is particularly important because if ADHD is not identified in these children and adolescents, the child’s functioning may be impaired due to ADHD symptoms as well as due to their DMD. Children with ADHD often have substantial impairments in peer, family, and academic functioning.12,13 Therefore, these children may have improved quality of life if their ADHD symptoms are treated. In the area of internalizing disorders, none of these patients met criteria for depression, either on the KSADS or the self-administered CDI. These results are in contrast to some studies, which have cited depression9,14 and dysthymic disorder.14 However, it is consistent with a study of individuals with DMD and their siblings who were administered the CDI in which the individuals with DMD did not generally rate themselves as depressed.15 Six of these children were noted to have anxiety disorders on the KSADS but only three of the six rated themselves as anxious on the RCMAS; however, the lie scale (which is a scale in which the person gives a picture of one’s ideal behaviour) was high on the RCMAS. These children may want to minimize the anxiety symptoms because they are focused on their DMD; or they think the anxiety symptoms are part of their DMD; or they do not want to be viewed as different from others in additional ways; or they may not be able to articulate their feelings; or they think the anxiety symptoms are part of their medical illness. Previous studies have noted that as much as one-third of individuals with DMD have neurotic disturbance10 and internalizing symptoms.11 The children and adolescents with DMD studied did not endorse poor self-concept, with the exception of two children who scored low on popularity, on the Piers-Harris Self-Concept Scale. Some of the children may not have understood the questions, based on their intellect. The children may not examine themselves as they focus on their physical disability. This result is similar to that of a study by Tavormina16 in which 134 children with diabetes, asthma, cystic fibrosis, and hearing impairment were tested with a variety of self-esteem measures including the Piers-Harris and the results indicated that overall, the physically disabled children, not the hearing impaired, did not have poor self-esteem.16 In a study of adolescents with DMD, the males talked of their social isolation.17 It has been well documented that there is a relationship between IQ and muscular dystrophy such that the distribution follows a normal curve but the mean IQ is lower by about 10 to 25 points. There is a lack of agreement in the literature regarding whether IQ is stable over time, whether Verbal IQ decreases with age, or whether there are ages/stages at which IQ is more likely to decline.18–22 This study showed that in this sample of 10 children and adolescents with DMD, the average IQ was in the borderline range. There were also three of the 10 children with mental retardation,* two of the three were adolescents. (Mental retardation is defined in our study by using a Full-scale IQ less than 70 on the Wechsler Intelligence Scale for Children: Third Edition.) Therefore, one wonders if these adolescents were tested at age 8 years whether their IQ would have been higher. Given that this is a pilot study of only 10 children and adolescents, it is hard to determine if any of the results are significant. The measures that were used had not been tested on this population before so their use needs to be replicated in further studies. Also, it is a cross-sectional study so it will be important to determine if these mental health problems will persist into late adolescence and early adulthood. From this small pilot study, it appears that children and adolescents with DMD have comorbid mental health problems, particularly ADHD, anxiety disorders, and cognitive difficulties. A large multicentre study on the mental health of children and adolescents with DMD would be important to undertake. The use of standardized measures of psychiatric conditions on this population of children and adolescents is important and their usefulness needs to be determined in further studies. Studies on the treatment of these mental health problems in children with DMD will be important to determine if these individuals require different strategies to improve their mental health functioning. Following these individuals over time would be important to determine if the symptoms worsen and if these symptoms are part of the natural history of the DMD.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,658
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,228
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations34
Publié2008
Routes d'admission2
Résumé présentoui

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