Resilience levels among adolescents with ADHD using quantitative measures in a family-design study

Resilience in the face of neurodivergence: A scoping review of resilience and factors promoting positive outcomes

Neurodivergent individuals, including a range of conditions impacting neurological function, are at an increased likelihood of poor life outcomes, such as in functional adaptation, mental health, and well-being. Yet, many live meaningful and fulfilling lives. Resilience may provide some explanation for the heterogeneity in outcomes observed in neurodivergent populations. We conducted a scoping review embedded in a neurodiversity-affirmative approach to provide an understanding of resilience in neurodivergent populations. A total of 176 articles were included in this review and were synthesized using a two-phased process. First, findings were synthesized narratively to examine how resilience has been conceptualized and explored in neurodivergent populations. Second, to identify the bio-psycho-social factors important for resilience in neurodivergent individuals, we converted concepts identified in articles to the nomenclature of the World Health Organizations' International Classification of Functioning, Disability and Health (ICF) using a standardized linking process. We find considerable variability in how resilience is conceptualized and measured in neurodivergent populations. We identified 83 unique ICF categories representing resilience factors, of which only 20 appeared in more than 5% of the articles. Identified ICF categories highlight the importance of support systems such as families and friends, community participation and acceptance, and individual capabilities for resilience.

Life Gets Better: Important Resilience Factors When Growing Up With ADHD

OBJECTIVE

To explore emerging adults' descriptions of important resilience factors when growing up with ADHD.

METHOD

Individual interviews with 10 emerging adults (21-24 years) who participated in a 10-year follow-up study, analyzed using thematic analysis.

RESULTS

The main theme was that "life gets better." Resilience factors contributing to this positive development were strategies to regulate ADHD, valuable relationships, acceptance, seeing positive attributes of ADHD, receiving tailored, non-stigmatizing support, and participating in meaningful activities.

CONCLUSION

Growing up with ADHD was associated with both challenges and positives, but the main resilience theme was that life gets better. A variety of resilience factors contributed to this, but relational and environmental factors seemed particularly important. Acceptance, both from society and self-acceptance, were related to all resilience factors in various ways indicating that better knowledge of ADHD might foster better understanding and acceptance of children and adolescents with ADHD.

Acute effects of concussion among adolescents with attention-deficit/hyperactivity disorder

Adolescents with ADHD have a greater lifetime history of concussion and experience concussion-like symptoms in the absence of a concussion, complicating concussion assessment and management. It is well established that individuals who experience greater acute symptoms following concussion are at risk for slower recovery and persistent symptoms. We examined whether youth with ADHD experience worse acute effects, within the first 72 h following concussion, compared to youth without ADHD. We hypothesized that youth with ADHD would perform worse on neurocognitive testing and endorse more severe symptoms acutely following injury, but the magnitude of change from pre injury to post injury would be similar for both groups, and thus comparable to baseline group differences. The sample included 852 adolescents with pre-injury and post-injury ImPACT results (within 72 h); we also conducted supplementary case-control analyses on a subset of youth with and without ADHD matched on demographics and pre-injury health history. For both samples, there were significant interaction effects for the Verbal Memory and Visual Motor Speed composites (p < 0.01, η²=.01-.07, small-medium effect), such that youth with ADHD showed a greater magnitude of diminished cognitive functioning from pre-injury to post-injury testing. There were no significant differences in the magnitudes of changes from pre injury to post injury with regard to overall symptom reporting (i.e., total symptom severity scores, total number of symptoms endorsed); however, there were group differences in endorsement rates for several individual symptoms. Further research is needed to determine whether such differential acute effects are associated with recovery time in youth with ADHD.

Experiences of Siblings of Children With Neurodevelopmental Disorders: Comparing Qualitative Analysis and Machine Learning to Study Narratives

INTRODUCTION

Relatively few studies have focused on the wellbeing, experiences and needs of the siblings of children with a psychiatric diagnosis. However, the studies that have been conducted suggest that the impact of such circumstances on these siblings is significant. Studying narratives of diagnosed children or relatives has proven to be a successful approach to gain insights that could help improve care. Only a few attempts have been made to study narratives in psychiatry utilizing a machine learning approach.

METHOD

In this current study, 13 narratives of the experiences of siblings of children with a neurodevelopmental disorders were collected through largely unstructured interviews. The interviews were analyzed using the traditional qualitative, hermeneutic phenomenology method as well as latent Dirichlet allocation (LDA), an unsupervised machine learning method clustering words from documents into topics. One aim of this study was to evaluate the experiences of the siblings in order to find leads to improve care and support for these siblings. Furthermore, the outcomes of both analyses were compared to evaluate the role of machine learning in analyzing narratives.

RESULTS

Qualitative analysis of the interviews led to the formulation of nine main themes: confrontation with conflicts, coping strategies siblings, need for rest and time for myself, need for support and attention from personal circle, wish for normality, influence on personal choices and possibilities for development, doing things together, recommendations and advices, ambivalence and loyalty. Using unsupervised machine learning (LDA) 24 topics were formed that mostly overlapped with the qualitative themes found. Both the qualitative analysis and the LDA analysis detected themes that were unique to the respective analysis.

CONCLUSION

The present study found that studying narratives of siblings of children with a neurodevelopmental disorder contributes to a better understanding of the subjects' experiences. Siblings cope with ambivalent feelings toward their brother or sister and this emotional conflict often leads to adapted behavior. Several coping strategies are developed to deal with the behavior of their brother or sister like seeking support or ignoring. Devoted support, time and attention from close relatives, especially parents, is needed. The LDA analysis didn't appear useful to distract meaning and context from the narratives, but it was proposed that machine learning could be a valuable and quick addition to the traditional qualitative methods by finding overlooked topics and giving a rudimental overview of topics in narratives.