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Record W4281251080 · doi:10.1016/j.ebiom.2022.104075

Towards pathophysiology-based interventions for children with ADHD and increased screen time utilisation

2022· letter· en· W4281251080 on OpenAlexaboutno aff
Samuele Cortese

Bibliographic record

VenueEBioMedicine · 2022
Typeletter
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyAttention deficit hyperactivity disorderPsychological interventionDepression (economics)PsychiatryObesityMedicineAsthmaAttention deficitMental healthMajor depressive disorderClinical psychologyPsychologyCognitionInternal medicine

Abstract

fetched live from OpenAlex

Attention-Deficit/Hyperactivity Disorder (ADHD) is the most common neurodevelopmental condition, affecting around 5-7% of school-aged children1Faraone SV Banaschewski T Coghill D Zheng Y Biederman J Bellgrove MA et al.The world federation of ADHD international consensus statement: 208 evidence-based conclusions about the disorder.Neurosci Biobehav Rev. 2021; 128: 789-818Crossref PubMed Scopus (130) Google Scholar. Compared to individuals without ADHD, those with ADHD are at higher risk of mental health disorders (such as anxiety or depression), physical conditions (including obesity and asthma), and maladaptive/risky behaviours (e.g., unintentional physical injuries or suicidal behaviours)1Faraone SV Banaschewski T Coghill D Zheng Y Biederman J Bellgrove MA et al.The world federation of ADHD international consensus statement: 208 evidence-based conclusions about the disorder.Neurosci Biobehav Rev. 2021; 128: 789-818Crossref PubMed Scopus (130) Google Scholar. An emerging body of evidence suggests that ADHD is also significantly associated with increased screen time utilisation (STU) (e.g.,2Soares PSM de Oliveira PD Wehrmeister FC Menezes AMB Gonçalves H. Is screen time throughout adolescence related to ADHD? Findings from 1993 Pelotas (Brazil) birth cohort study.J Atten Disord. 2022; 26: 331-339Crossref PubMed Scopus (1) Google Scholar), which can add to the burden of ADHD. However, current clinical guidelines3Coghill D Banaschewski T Cortese S Asherson P Brandeis D Buitelaar J et al.The management of ADHD in children and adolescents: bringing evidence to the clinic: perspective from the European ADHD guidelines group (EAGG).Eur Child Adolesc Psychiatry. 2021; 22: 1-25Google Scholar do not include any specific recommendation for the screening and management of increased STU in individuals with ADHD. The study by Yang et al.4Yang A Rolls ET Dong G Du J Li Y Feng J et al.Longer screen time utilization is associated with the polygenic risk for Attention-deficit/hyperactivity disorder with mediation by brain white matter microstructure.eBioMedicine. 2022; 80104039Summary Full Text Full Text PDF Scopus (1) Google Scholar furthers our understanding on the relationship between ADHD symptoms and STU, paving the way for possible pathophysiology-based interventions. The authors focused on polygenic risk scores (PRS), i.e., the sum of the effects of individual genes that provides an overall estimate of genetic lability for a given disorder. Elegantly leveraging data from more than 11,000 children from the Adolescent Brain Cognitive Development cohort, Yang et al. found that higher PRS for ADHD were significantly associated with longer STU, and that fractional anisotropy (FA, a magnetic resonance imaging measure that estimates white matter integrity) in tracts mainly involved in visual functions was negatively correlated with both the ADHD PRS and STU. Furthermore, FA values at baseline were significantly correlated with ADHD scores at 2-year follow-up and there was a bi-directional association between ADHD scores and STU at baseline and 1-year follow-up. Finally, FA scores and ADHD symptoms severity mediated the relationship between ADHD PRS and STU. Do the findings by Yang and colleagues imply that children should be systematically screened via PRS to detect those who will likely develop ADHD and increased STU? The simple answer is no. Technically, PRS are defined by the weighted sum of the risk alleles which are associated with a disorder based on data from available Genome Wide Associations Study (GWAS). Currently, due to small effect sizes, ADHD PRS cannot accurately predict individual outcome. In other terms, most of those with high scores on the currently available ADHD PRS will not develop ADHD because “the signal is too weak”5Ronald A de Bode N Polderman TJC. Systematic review: how the attention-deficit/hyperactivity disorder polygenic risk score adds to our understanding of ADHD and associated traits.J Am Acad Child Adolesc Psychiatry. 2021; 60: 1234-1277Summary Full Text Full Text PDF PubMed Scopus (23) Google Scholar. This is in line with what has been found for other conditions. For instance, less than 16% of individuals in the top decile of the PRS for obesity developed severe obesity at 25 year-follow-up, compared to around 1% in the bottom decile6Khera AV Chaffin M Wade KH Zahid S Brancale J Xia R et al.Polygenic prediction of weight and obesity trajectories from birth to adulthood.Cell. 2019; 177 (e9): 587-596Summary Full Text Full Text PDF PubMed Scopus (263) Google Scholar. So, where does the value of the study by Yang et al. lie? I believe it is in the understanding of the links between ADHD symptoms and STU at different levels, and in the implications for treatment development. By using a multimodal approach with a cross-sectional as well as longitudinal approach, the authors were able to build and test a comprehensive, coherent model linking ADHD and increased STU, spanning from genes to behaviour via brain measures (estimated white matter integrity). In turn, this points to possible intervention strategies. Indeed, there may be several reasons underlying the link between ADHD and STU. For instance, increased STU might stem from the behavioural impulsivity of individuals with ADHD, or increased STU could contribute ADHD symptoms, in particular inattention. However, the study by Yang et al. suggests that both ADHD and long STU share common genetic underpinning and are characterised by possible dysfunctions in white matter tracts related to visual functions. This may result in impaired executive control of visual functions, with enhanced sensitivity to and distractibility by visual stimuli leading to increased STU. If replicated in other studies, the findings by Yang et al., would provide a compelling rationale to assess interventions aimed at restoring or improving these impaired visual functions. To date, the paradigm “gene dysfunction leading to brain imaging alterations, in turn underpinning behavioural manifestations” has not led to relevant innovations in the care of children with ADHD. For instance, meta-analytic evidence7Cortese S Ferrin M Brandeis D Buitelaar J Daley D Dittmann RW et al.Cognitive training for attention-deficit/hyperactivity disorder: meta-analysis of clinical and neuropsychological outcomes from randomized controlled trials.J Am Acad Child Adolesc Psychiatry. 2015; 54: 164-174Summary Full Text Full Text PDF PubMed Scopus (285) Google Scholar based on trials of cognitive training, aimed at changing the functioning of brain areas thought to mediate the relationship between genes and behaviour, has not supported the efficacy of this intervention in terms of improvement of ADHD core symptoms. This is unfortunate because, whilst stimulants have been shown to be highly efficacious - at least in the short term- for the core symptoms of ADHD8Cortese S Pharmacologic treatment of attention deficit-hyperactivity disorder.N Engl J Med. 2020; 383: 1050-1056Crossref PubMed Scopus (92) Google Scholar, their effects in terms of improving associated neuropsychological dysfunctions have been found to be less strong9Coghill DR Seth S Pedroso S Usala T Currie J Gagliano A. Effects of methylphenidate on cognitive functions in children and adolescents with attention-deficit/hyperactivity disorder: evidence from a systematic review and a meta-analysis.Biol Psychiatry. 2014; 76: 603-615Summary Full Text Full Text PDF PubMed Scopus (169) Google Scholar. One possible reason is that individuals with ADHD included in such trials were highly heterogeneous in terms of underlying pathophysiological correlates. By adopting a precision psychiatry approach10Cortese S Setting the foundations of developmental precision psychiatry for ADHD.Am J Psychiatry. 2021; 178: 677-679Crossref PubMed Scopus (3) Google Scholar and selecting more homogeneous subgroups, such as children with high levels of ADHD symptoms and STU, the field might be more successful in designing and implementing novel pathophysiology-based interventions. SC declares honoraria and reimbursement for travel and accommodation expenses for lectures from the following non-profit associations: Association for Child and Adolescent Central Health (ACAMH), Canadian ADHD Alliance Resource (CADDRA), British Association of Pharmacology (BAP), and from Healthcare Convention for educational activity on ADHD. Longer screen time utilization is associated with the polygenic risk for Attention-deficit/hyperactivity disorder with mediation by brain white matter microstructureThese findings shed new light on the shared neural overlaps between ADHD symptoms and prolonged STU, and provide evidence that the polygenic risk for ADHD is related, via white matter microstructure and the ADHD trait, to STU. Full-Text PDF Open Access

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.305
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.318
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2022
Admission routes1
Has abstractyes

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