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Bruxism risk in children & adolescents with ADHD — systematic review & meta-analysis

PRO deep dive — expanded notes aligned with the five card PMIDs for this run.

2026.04.225 itemsPRO briefNot diagnosis or prescription
Evidence Map

This issue at a glance

01Bruxism risk in children & adolescents with ADHD — systematic review & meta-analysisSignals: see bodyUse: read with the source and limitation notes belowQuestion: turn the finding into a clinical or school discussion point
02Atopic symptoms & ADHD symptom fluctuations — time-series in ADHD patientsSignals: see bodyUse: read with the source and limitation notes belowQuestion: turn the finding into a clinical or school discussion point
03Physical activity effects on cognition & hyperactivity in elementary ADHD — meta-analysisSignals: see bodyUse: read with the source and limitation notes belowQuestion: turn the finding into a clinical or school discussion point
04Theta/beta ratio methods & limits for ADHD vs controls — methodological studySignals: see bodyUse: read with the source and limitation notes belowQuestion: turn the finding into a clinical or school discussion point
05Family adversity, parental psychopathology, parenting & externalizing in children with ADHD (SEM)Signals: see bodyUse: read with the source and limitation notes belowQuestion: turn the finding into a clinical or school discussion point
PRO deep dive - sleep/bruxism, atopic-ADHD symptom fluctuation, physical activity, EEG TBR, and family pathways are expanded around five PubMed anchors. Card 02 follows PMID 31020405 to match newsletter-index and A-site references.
001

Bruxism risk in children and adolescents with ADHD - systematic review/meta-analysis

Systematic review PMID 32554210

Souto-Souza and colleagues reviewed 32 observational studies on ADHD and bruxism in children and adolescents. The evidence base included 2,629 participants with ADHD and 1,739 with bruxism, covering both sleep and awake bruxism.

Bruxism odds were higher among youth with a confirmed ADHD diagnosis, but heterogeneity was substantial and the awake-bruxism estimate had a wide confidence interval. ADHD signs without diagnostic confirmation were not significantly associated. Use this as a sleep/dental screening question, not as an ADHD test.

PubMed: 32554210

002

Atopic symptoms and ADHD symptom fluctuations - time-series study

Time series PMID 31020405

van der Schans and colleagues followed 21 ADHD patients aged 7-16 years for up to 50 days using parent daily online questionnaires. The study modeled daily fluctuations in asthma/allergic rhinitis symptoms and ADHD symptoms; VAR models could be built for 16 participants.

Most modeled participants showed significant links between atopic and ADHD symptom fluctuations, but the temporal direction differed by person. This does not show that allergy causes ADHD. It supports using symptom diaries, sleep notes, and medication context as material for clinical discussion.

PubMed: 31020405

003

Physical activity effects on cognition, behavior and hyperactivity in elementary ADHD

Meta-analysis PMID 41274012

This meta-analysis summarizes physical-activity interventions for elementary-school children diagnosed with ADHD, focusing on cognition, behavior, and hyperactivity symptoms. Included trials varied in exercise type, duration, frequency, and outcome measurement.

Positive signals were reported for some behavioral and general ADHD-symptom outcomes, while executive cognition and attention findings were not uniformly significant. Read physical activity as a possible supportive routine to discuss with professionals, not as a substitute for individualized care.

PubMed: 41274012

004

Theta/beta ratio methods and limits for ADHD vs controls

EEG methods PMID 32436141

van Dijk and colleagues tested whether different spectral-analysis algorithms explain inconsistent theta/beta ratio findings in ADHD. The algorithms produced different TBR values.

The key caution is that, in the analyzed datasets, TBR did not reliably distinguish ADHD from controls. TBR should not be treated as a stand-alone diagnostic biomarker; method, recording context, and clinical assessment remain essential.

PubMed: 32436141

005

Family adversity, parental psychopathology, parenting and externalizing symptoms

Structural equation model PMID 36461089

Jendreizik and colleagues analyzed data from 555 children with ADHD in the ESCAschool study, mean age 8.9 years and 80.5% boys. Structural equation modeling tested family adversity, parental psychopathology, positive and negative parenting, ADHD symptoms, and ODD symptoms.

Family adversity and parental psychopathology were associated with both ADHD and ODD symptoms, while negative parenting was mainly related to ODD symptoms. Family adversity acted indirectly through parental psychopathology and negative parenting. Use this to map support needs, not to assign blame.

PubMed: 36461089

006

Turn into consultation questions

Consultation Not medical advice
Question draft
  • Which functional domain breaks down most repeatedly?
  • Have sleep, allergy symptoms, family stress, and parent executive-function load been tracked as context?
  • Have source design and limits been checked before turning the item into a consultation question?

007

Sources for this issue

Sources Verify
Card Source Check
001 PMID 32554210 Recheck original link and study design
002 PMID 31020405 Recheck original link and study design
003 PMID 41274012 Recheck original link and study design
004 PMID 32436141 Recheck original link and study design
005 PMID 36461089 Recheck original link and study design
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