Self-image profile in children and adolescents with attention deficit/ hyperactivity disorder and the quality of life in their parents

Attention deficit hyperactivity disorder, self-esteem and the impact of treatments

OBJECTIVES

Children with attention deficit hyperactivity disorder (ADHD) experience repetitive failures in their school and social life and often receive negative feedback from their environment, endangering the development of their self-esteem. Self-esteem is a forecasting factor for social, psychological, professional and familial well-being. Poor self-esteem is a risk factor for the development of depression, anxiety disorder, and personality disorder. The aim of this article is to evaluate the child's self-esteem at the initial time of ADHD diagnosis, describe self-esteem evolution after diagnosis and identify clinical and therapeutic factors associated with improved self-esteem.

METHODS

In a longitudinal descriptive study, 6-12-year-old patients with ADHD underwent a multidisciplinary evaluation including a diagnostic interview (Kiddie Schedule for Affective Disorders and Schizophrenia Present/Lifetime version: K-SADS), a symptoms severity assessment with parent questionnaires (Attention Deficit Hyperactivity Disorder Rating Scale: ADHD-RS), a neurocognitive testing of attention and IQ, and a self-esteem interview (Self-Esteem Inventory of Coopersmith: SEI). The follow-up assessment included a K-SADS-PL, ADHD-RS and SEI assessments and recorded treatment history. We compared the score of self-esteem between these two assessments.

RESULTS

Among the 108 screened patients, we obtained complete data from 55 patients at the second assessment. At first evaluation, two-thirds of children with ADHD had low self-esteem scores. At the second evaluation, our results indicate a significant improvement of global, personal, and social self-esteem score (SEI) and symptoms severity score (K-SADS-PL and ADHD-RS).

CONCLUSIONS

Self-esteem improved in patients with ADHD after specific treatments.

Using a new video rating tool to crowd-source analysis of behavioural reaction to stimuli

Quantifying the intensity of animals' reaction to stimuli is notoriously difficult as classic unidimensional measures of responses such as latency or duration of looking can fail to capture the overall strength of behavioural responses. More holistic rating can be useful but have the inherent risks of subjective bias and lack of repeatability. Here, we explored whether crowdsourcing could be used to efficiently and reliably overcome these potential flaws. A total of 396 participants watched online videos of dogs reacting to auditory stimuli and provided 23,248 ratings of the strength of the dogs' responses from zero (default) to 100 using an online survey form. We found that raters achieved very high inter-rater reliability across multiple datasets (although their responses were affected by their sex, age, and attitude towards animals) and that as few as 10 raters could be used to achieve a reliable result. A linear mixed model applied to PCA components of behaviours discovered that the dogs' facial expressions and head orientation influenced the strength of behaviour ratings the most. Further linear mixed models showed that that strength of behaviour ratings was moderately correlated to the duration of dogs' reactions but not to dogs' reaction latency (from the stimulus onset). This suggests that observers' ratings captured consistent dimensions of animals' responses that are not fully represented by more classic unidimensional metrics. Finally, we report that overall participants strongly enjoyed the experience. Thus, we suggest that using crowdsourcing can offer a useful, repeatable tool to assess behavioural intensity in experimental or observational studies where unidimensional coding may miss nuance, or where coding multiple dimensions may be too time-consuming.

Psychotherapy for Adolescents With Attention-Deficit Hyperactivity Disorder: A Pediatrician's Guide

Attention-deficit hyperactivity disorder (ADHD) presents with high levels of inattention, impulsiveness, and hyperactivity. ADHD starts in childhood and results in impairments that continue into adulthood. ADHD symptoms lead to decreased functionality in various life domains and result in poor academics, behavioral challenges, delayed independence, and strained relationships. Despite advances in diagnosis and treatment, persistent residual symptoms are common, highlighting the need for novel treatment strategies. This article aims to provide a review of the psychotherapeutic interventions available for teens that receive pharmacotherapy but continue to struggle with the residual symptoms of ADHD that interfere with academic function, relationship formation, and psychological development.

Sleep and quality of life in children with traumatic brain injury and ADHD

Objective Attention problems are common in children who sustain a traumatic brain injury (TBI). The differential features of TBI-related Attention Deficit Hyperactivity Disorder (ADHD) and primary ADHD are largely unknown. This study aimed to compare sleep problems and quality of life between children with TBI and ADHD and children with primary ADHD. Methods Twenty children with TBI (mean age = 12.7 ± 3.1 years) who had clinically significant ADHD symptoms according to the structured diagnostic interview and rating scales and a control group with primary ADHD (n = 20) were included. Parents completed Children's Sleep Habits Questionnaire (CSHQ) and Kinder Lebensqualitätsfragebogen: Children's Quality of Life Questionnaire-revised (KINDL-R). Neurology clinic charts were reviewed for TBI-related variables. Results When compared to children with primary ADHD, the Total Score and Sleep Onset Delay, Daytime Sleepiness, Parasomnias, and Sleep Disordered Breathing subscores of CSHQ were found to be higher in children with TBI and ADHD. The Total Score and Emotional Well-Being and Self-Esteem subscores of the KINDL-R were found to be low (poorer) in children with TBI and ADHD. The Total Score and certain subscores of KINDL-R were found to be lower in TBI patients with a CSHQ > 56 (corresponds to significant sleep problems) when compared to those with a CSHQ < 56. CSHQ Total Score was negatively correlated with age. Conclusion Children with TBI and ADHD symptoms were found to have a poorer sleep quality and quality of life than children with primary ADHD. ADHD in TBI may be considered as a highly impairing condition which must be early diagnosed and treated.

Quality of Life in Caregivers of ADHD Children and Diabetes Patients

INTRODUCTION

Studies have shown that the presence of attention-deficit hyperactivity disorder (ADHD) causes great impairment in academic, social, and professional activities as well as in the quality of life (QoL) of its patients. Similarly, the impact caused by other chronic disorders, such as diabetes, in the patient's QoL has been emphasized in many studies. Despite its relevance, no study has yet investigated whether ADHD caregivers and diabetic patients would have similar QoL impairment.

OBJECTIVES

This study was conducted in order to compare the QoL scores among ADHD caregivers and diabetic patients.

METHODS

We evaluated 63 caregivers of ADHD children treated at the Child and Adolescent Psychiatric Unit at the Federal University of São Paulo (UPIA-UNIFESP) and 52 adult diabetic patients. Subjects were assessed with the World Health Organization quality of Life-Bref Version (WHOQOL-BREF), the Beck and Hamilton depression scales, and the Adult Self-Report Scale.

RESULTS

When compared to the Brazilian normative data, ADHD caregivers had significantly lower scores in the social relations and environment WHOQOL domains. ADHD caregivers and diabetic patients had similar impairment in all WHOQOL domains except for the physical domain.

CONCLUSION

ADHD affects the QoL of the patient's caregiver, with similar impairment, when compared to the QoL of diabetic patients. These results emphasize the need for assessing QoL of the caregivers as part of the treatment strategies. They also emphasize the need for future studies with larger sample sizes comparing how the QOL is impacted in different chronic disorders.