The transfer from child and adolescent mental health services (CAMHS) to adult mental health services (AMHS) can be challenging, particularly for adolescents with neurodevelopmental disorders (NDDs) requiring long-term follow-up.

To examine the transfer process from CAMHS to AMHS in a university hospital in Türkiye, focusing on challenges, service gaps and barriers to transfer for individuals with NDDs.

Hospital records of children with NDDs followed in CAMHS for at least 5 years were reviewed. Children with at least one annual admission until 2017–2018 were included. A total of 211 patients were categorised into two groups: those who transferred to AMHS by 2018–2019 (transferred group, 81 patients) and those who did not transfer (non-transferred group, 130 patients). Clinical features, such as primary diagnosis and treatments, were compared, and parental views on the transfer process were collected via telephone interviews.

The transferred group included 81 patients (38.4%), whereas the non-transferred group had 130 patients (61.6%). Of the total sample, 55 (26.1%) were female, and 156 (73.9%) were male. Primary diagnoses were similar between groups; however, the transferred group had more comorbidities (P < 0.001) and more frequent antipsychotic prescriptions (P = 0.006). Proactive information from CAMHS doctors (B = 2.46, s.e. = 0.68, P < 0.001) and psychiatric comorbidities predicted transfer. In addition, attention-deficit hyperactivity disorder diagnoses changed during transfer in the transferred group (P = 0.002).

These findings emphasise the need for tailored transition support to enhance mental healthcare for NDD patients and indicate areas where further research is required to address healthcare barriers.

This study aimed to evaluate the general practitioner (GP) referral pathway for adult attention deficit hyperactivity disorder (ADHD) devised by the Irish Health Service Executive’s (HSE) National Clinical Programme for Adult ADHD (NCPAA). Primary objectives were to (i) quantify GP referrals to community mental health teams (CMHTs) for adult ADHD screening, (ii) measure workload on CMHTs related to screening adult ADHD referrals without comorbid mental health problems, and (iii) quantify access to adult ADHD screening through CMHTs and subsequent assessment and treatment access through specialist adult ADHD teams.

An observational cohort design was used to retrospectively analyse ADHD-related referral data collected by clinical staff across 11 Irish CMHTs, and three specialist adult ADHD teams from January to December 2023.

There was high variability in adult ADHD referrals to CMHTs, ranging from 14 to 122 over one year. There was also high variability in the number of referrals seen by CMHTs, ranging from 9 to 82. From 304 referrals seen across 11 CMHTs, 25.3% required initial treatment for another mental health condition. Specialist adult ADHD teams received 3–4 times more referrals than they were able to assess during this timeframe.

The NCPAA has provided crucial services for adults with ADHD in Ireland. However, an increase in neurodiversity awareness and demand for services suggests that a range of referral pathways depending on complexity level may be required. Alternative models are proposed, which require allocation of resources and training through primary care, secondary mental health services and specialist teams.

Deficits in Executive Function (EF) and Theory of Mind (ToM) are common and significant in attention deficit hyperactivity disorder (ADHD), impacting self-regulation and social interaction. The nature of ToM deficits is believed to be partially associated with preexisting deficits in other core cognitive domains of ADHD, such as EF, which are essential for making mental inferences, especially complex ones. Evaluating these associations at a meta-analytic level is relevant.

To conduct a systematic literature review followed by a meta-analysis to identify potential associations between EF and ToM among individuals with ADHD and their healthy counterparts, considering different developmental stages.

A systematic review was conducted in seven different databases. The methodological quality of the studies was assessed using the Newcastle-Ottawa Scale. The meta-analytic measurement was estimated with the correlation coefficient as the outcome. Due to the presence of heterogeneity, a random-effects model was adopted. Independent meta-analyses were conducted for different EF subdomains and ADHD and healthy control groups. Subgroup analyses were performed to examine the influence of age on the outcome of interest.

Fifteen studies were analyzed. Moderate associations were found when comparing EF and ToM between individuals with ADHD (0.20–0.38) and healthy subjects (0.02–0.40). No significant differences were found between child and adult samples (p > 0.20).

The association between EF and ToM was significant, with a moderate effect size, although no significant differences were found according to age, the presence of ADHD, or EF subdomains. Future research is suggested to expand the age groups and overcome the methodological limitations indicated in this review.

The aim of this study was to investigate sensorimotor functions that require cerebellar processing, and visuospatial perception and visuospatial abilities in adult patients with attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD).

We included patients with unmedicated ADHD (n = 52), medicated ADHD (n = 39), ASD (n = 33), the combination of unmedicated ADHD and ASD (n = 31) and controls (n = 78). A multimodal set of neurocognitive tests and motor tasks were administrated to evaluate cognitive and motor skills.

All patient groups exhibited significantly worse performances than controls in sensorimotor functions, visuospatial perception, and visuospatial abilities. We observed significant associations between sensorimotor functions and visuospatial perception and visuospatial abilities. We conducted a regression analysis to evaluate the impact of potential confounders on neurocognitive outcomes. The results indicated that age, level of education, and insomnia, but not anxiety or depression, affected the performance on some tests.

Our results reveal deficits in sensorimotor functions, visuospatial perception, and visuospatial abilities in patients with neuropsychiatric disorders. Clear deficits emerged, despite the majority of patients showing a mild degree of severity index of ADHD/ASD across all groups (61–84%). The results are consistent with the idea that these disorders are linked to cerebellar deficits. Our results suggest that these objective tests have the potential to enhance clinical evaluations.

This study aimed to elucidate the association between the platelet-to-lymphocyte ratio (PLR) and the risk of attention deficit hyperactivity disorder (ADHD) in children aged 6–14 based on National Health and Nutrition Examination Survey (NHANES) data.

We utilized data from NHANES 2013–2014 for analysis, with PLR as the independent variable and ADHD as the dependent variable. Weighted logistic regression was used to construct the relationship model. The subgroup analysis with stratification and adjustment for confounding factors was conducted to explore the association between PLR and ADHD risk in children aged 6–14. Finally, the restricted cubic spline (RCS) analysis was carried out to explore the non-linear relationship between PLR and ADHD.

The study included 1455 samples with 91 ADHD cases. A significant positive association (OR > 1, P < 0.05) was observed between PLR and ADHD risk in the multivariate weighted logistic regression model. Race and asthma status remarkably influenced the relationship between PLR and ADHD (P for interaction<0.05). The positive association between PLR and ADHD risk was particularly significant (P < 0.05) in boys, children born to mothers aged 20–29, and children with asthma. The RCS curve indicated a non-linear association between PLR and ADHD risk (P-non-linear = 0.0040), with OR > 1 when PLR ≥ 106.40.

Increased PLR elevated the risk of ADHD, especially in males, children born to mothers aged 20–29, and children with asthma, with 106.40 possibly being an effective threshold for PLR’s impact on ADHD risk.

Machine learning (ML) has developed classifiers differentiating patient groups despite concerns regarding diagnostic reliability. An alternative strategy, used here, is to develop a functional classifier (hyperplane) (e.g. distinguishing the neural responses to received reward v. received punishment in typically developing (TD) adolescents) and then determine the functional integrity of the response (reward response distance from the hyperplane) in adolescents with externalizing and internalizing conditions and its associations with symptom clusters.

Two hundred and ninety nine adolescents (mean age = 15.07 ± 2.30 years, 117 females) were divided into three groups: a training sample of TD adolescents where the Support Vector Machine (SVM) algorithm was applied (N = 65; 32 females), and two test groups– an independent sample of TD adolescents (N = 39; 14 females) and adolescents with a psychiatric diagnosis (major depressive disorder (MDD), generalized anxiety disorder (GAD), attention deficit hyperactivity disorder (ADHD) & conduct disorder (CD); N = 195, 71 females).

SVM ML analysis identified a hyperplane with accuracy = 80.77%, sensitivity = 78.38% and specificity = 88.99% that implicated feature neural regions associated with reward v. punishment (e.g. nucleus accumbens v. anterior insula cortices). Adolescents with externalizing diagnoses were significantly less likely to show a normative and significantly more likely to show a deficient reward response than the TD samples. Deficient reward response was associated with elevated CD, MDD, and ADHD symptoms.

Distinguishing the response to reward relative to punishment in TD adolescents via ML indicated notable disruptions in this response in patients with CD and ADHD and associations between reward responsiveness and CD, MDD, and ADHD symptom severity.

ADHD symptoms are associated with emotional problems such as depressive and anxiety symptoms from early childhood to adulthood, with the association increasing with age. A shared aetiology and/or a causal relationship could explain their correlation. In the current study, we explore these explanations for the association between ADHD symptoms and emotional problems from childhood to adulthood.

Data were drawn from the Twins Early Development Study (TEDS), including 3675 identical and 7063 non-identical twin pairs. ADHD symptoms and emotional symptoms were reported by parents from childhood to adulthood. Self-report scales were included from early adolescence. Five direction of causation (DoC) twin models were fitted to distinguish whether associations were better explained by shared aetiology and/or causal relationships in early childhood, mid-childhood, early adolescence, late adolescence, and early adulthood. Follow-up analyses explored associations for the two subdomains of ADHD symptoms, hyperactivity-impulsivity and inattention, separately.

The association between ADHD symptoms and emotional problems increased in magnitude from early childhood to adulthood. In the best-fitting models, positive genetic overlap played an important role in this association at all stages. A negative causal effect running from ADHD symptoms to emotional problems was also detected in early childhood and mid-childhood. When distinguishing ADHD subdomains, the apparent protective effect of ADHD symptoms on emotional problems in childhood was mostly driven by hyperactivity-impulsivity.

Genetic overlap plays an important role in the association between ADHD symptoms and emotional problems. Hyperactivity-impulsivity may protect children from emotional problems in childhood, but this protective effect diminishes after adolescence.

Type 2 diabetes (T2D) is a global health burden, more prevalent among individuals with attention deficit hyperactivity disorder (ADHD) compared to the general population. To extend the knowledge base on how ADHD links to T2D, this study aimed to estimate causal effects of ADHD on T2D and to explore mediating pathways.

We applied a two-step, two-sample Mendelian randomization (MR) design, using single nucleotide polymorphisms to genetically predict ADHD and a range of potential mediators. First, a wide range of univariable MR methods was used to investigate associations between genetically predicted ADHD and T2D, and between ADHD and the purported mediators: body mass index (BMI), childhood obesity, childhood BMI, sedentary behaviour (daily hours of TV watching), blood pressure (systolic blood pressure, diastolic blood pressure), C-reactive protein and educational attainment (EA). A mixture-of-experts method was then applied to select the MR method most likely to return a reliable estimate. We used estimates derived from multivariable MR to estimate indirect effects of ADHD on T2D through mediators.

Genetically predicted ADHD liability associated with 10% higher odds of T2D (OR: 1.10; 95% CI: 1.02, 1.18). From nine purported mediators studied, three showed significant individual mediation effects: EA (39.44% mediation; 95% CI: 29.00%, 49.73%), BMI (44.23% mediation; 95% CI: 34.34%, 52.03%) and TV watching (44.10% mediation; 95% CI: 30.76%, 57.80%). The combination of BMI and EA explained the largest mediating effect (53.31%, 95% CI: −1.99%, 110.38%) of the ADHD–T2D association.

These findings suggest a potentially causal, positive relationship between ADHD liability and T2D, with mediation through higher BMI, more TV watching and lower EA. Intervention on these factors may thus have beneficial effects on T2D risk in individuals with ADHD.

To quantify the proportion of referrals sent to Crumlin Cardiology Department for cardiac screening prior to commencement or modifying attention deficit hyperactivity disorder medication and assess the number detected with a clinically significant abnormality.

A prospective audit was performed over a 6-month period, from November 2021 to April 2022 inclusive. Referrals sent via outpatient department triage letters, electrocardiogram dept. email, and walk-in electrocardiogram service were screened for those pertaining to commencing or modifying medication for children with attention deficit hyperactivity disorder. Each referral was coded against National Institute for Health and Care Excellence guidelines to determine the degree of clinical details given. Reported abnormalities, recommended management, and correspondence were recorded.

Ninety-one referrals were received during the 6-month audit period. More than half lacked a clinical indication for referral (53/91, 58.2%), with fewer than one third (26/91, 28.5%) meeting National Institute for Health and Care Excellence criteria for referral for cardiology. Eighty (80/91) referrals had clinical outcomes available for review (missing outpatient department information and age outside of service range accounted for eleven referrals with unavailable clinical outcomes). Of the eighty clinically reviewed referrals, seventy-two (72/80, 90%) were reported as normal with no cardiology follow up required. Eight referrals (8/80, 10%) were reviewed in the Cardiology Outpatient Department prior to commencement or modifying attention deficit hyperactivity disorder medication. Of these, only one (1/80 1%) had a clinically significant abnormality which was a potential contraindication to attention deficit hyperactivity disorder medication use, and this referral was appropriate as per National Institute for Health and Care Excellence guidelines.

Routine screening prior to attention deficit hyperactivity disorder medication prescription in the absence of clinical indications (as per National Institute for Health and Care Excellence) contributed to delays in medication initiation among young people with attention deficit hyperactivity disorder. Unnecessary referrals have resource implications for cardiology clinical team. Improved adherence to National Institute for Health and Care Excellence guidelines would provide benefits for patients and clinicians.

Attention deficit hyperactivity disorder (ADHD) is increasingly diagnosed in adults. People with intellectual disability have higher rates of ADHD yet there is little evidence on the presentation and pharmacological treatment of ADHD in this population or how this differs from the general population.

Retrospective cohort study using data from electronic health records. Adults with intellectual disability newly diagnosed with ADHD between 2007 and 2022 were matched to adults with ADHD without intellectual disability and their clinical features and treatments were compared.

A total of 159 adults with ADHD and intellectual disability and 648 adults with ADHD without intellectual disability formed the dataset. Adults with intellectual disability had higher rates of psychiatric co-morbidity and spent more time under mental health services than those without intellectual disability. They were more likely to have recorded agitation, aggression, hostility, and mood instability, and less likely to have poor concentration recorded in the 12 months prior to the diagnosis of ADHD. Following diagnosis, people with intellectual disability were significantly less likely to be prescribed any medication for ADHD than controls without intellectual disability (adjusted odds ratio 0.60, 95% confidence interval 0.38–0.91), and were less likely to be prescribed stimulants (27.7% v 46.0%, p < 0.001).

The presence of behaviors that challenge in adults with intellectual disability may indicate co-occurring ADHD. Further work to define the safety and efficacy of medication for ADHD in adults with intellectual disability is needed to understand differences in prescription rates and to avoid inequities in care outcomes.

Attention-deficit hyperactivity disorder (ADHD) is highly heritable, though environmental factors also play a role. Prenatal maternal stress is suggested to be one such factor, including exposure to highly distressing events that could lead to post-traumatic stress disorder (PTSD). The aim of this study is to investigate whether prenatal maternal PTSD is associated with offspring ADHD.

A register-based retrospective cohort study linking 553 766 children born in Sweden during 2006–2010 with their biological parents. Exposure: Prenatal PTSD. Outcome: Offspring ADHD. Logistic regression determined odds ratios (ORs) with 95% confidence intervals (CIs) for ADHD in the offspring. Adjustments were made for potential covariates, including single parenthood and possible indicators of heredity measured as parental ADHD and maternal mental disorders other than PTSD. Subpopulations, excluding children with indicators of heredity, were investigated separately.

In the crude results, including all children, prenatal PTSD was associated with offspring ADHD (OR: 1.79, 95% CI: 1.37–2.34). In children with indicators of heredity, the likelihood was partly explained by it. Among children without indicators of heredity, PTSD was associated with offspring ADHD (OR: 2.32, 95% CI: 1.30–4.14), adjusted for confounders.

Prenatal maternal PTSD is associated with offspring ADHD regardless of indicators of heredity, such as parental ADHD or maternal mental disorder other than PTSD. The association is partly explained by heredity and socioeconomic factors. If replicated in other populations, preferably using a sibling design, maternal PTSD could be identified as a risk factor for ADHD.

Neurobiological and cognitive theories implicate deficits in executive function (EF) as a core facet of both depressive disorders and attention-deficit/hyperactivity disorder (ADHD), but empirical investigations inconsistently support this conclusion. Despite recognition of the likely bi-directional relationship of EF deficits to depression and ADHD, respectively, the extent to which comorbid depression might impact EF in adults remains unclear, considering more of the literature has examined children and adolescents. This study examined performance differences on EF measures in clinically-referred adults diagnosed with ADHD or a non-ADHD primary psychopathological condition in the presence/absence of comorbid depression.

This cross-sectional study included data from 404 adults referred for neuropsychological evaluation at a Midwestern academic medical center. In total, 343 met DSM-5 diagnostic criteria for ADHD (ADHD-all group:164 Predominantly Inattentive presentation [ADHD-I] and 179 Combined presentation [ADHD-C]) and 61 met criteria for a non-ADHD primary psychopathological condition (psychopathology group: 31 mood disorder, 17 anxiety disorder, and 13 posttraumatic stress disorder) when assessed via semi-structured clinical interview. All patients completed the Beck Depression Inventory-Second Edition (BDI-II) and five EF tests: Letter Fluency, Trail Making Test-Part B (Trails-B), Stroop Color and Word Test Color-Word trial (SCWT CW); and WAIS-IV Working Memory Index (WMI). Oneway MANOVAs assessed for significant EF differences between groups with high (BDI-II greater than or equal to 20) or low (BDI-II less than or equal to 19) depressive symptoms.

When group diagnosis (ADHD-all vs. psychopathology) was examined in the context of high or low depression, a significant difference in EF performance emerged between groups, F(12, 1042.72)=2.44, p<.01, Wilk's A=.93, partial n2=.02, with univariate analyses indicating a significant difference in FAS-T between at least two of the groups (F(3, 397)=3.92 , p< .01, partial n2=.03). Tukey's HSD Test for multiple comparisons found that the mean value of FAS-T was significantly different between the ADHD-high depression and ADHD-low depression groups (p=.046 , 95% CI = [5.81, -.04]) as well as between the ADHD-low depression and psychopathology-high depression groups (p=.05, 95% CI = [-8.89, .00]). A one-way MANOVA examining differences between groups when distinguishing ADHD by subtype revealed a statistically significant difference in EF performance between groups, F(20, 1301)=1.85, p<.05, Wilk's A=.91, partial n2=.02, with univariate analyses indicating a statistically significant difference in FAS-T between at least two of the groups (F(5, 395) = 2.39 , p<.05, partial n2 = .03). However, Tukey's HSD Test for multiple comparisons found that the mean value of FAS-T was not significantly different between any of the groups.

Overall, results indicate that clinically-referred patients with ADHD perform comparably on tests of EF regardless of the presence or absence of comorbid depression. These findings have implications for conceptualizing EF weaknesses in neuropsychological profiles for individuals with ADHD and suggest examining factors beyond comorbid depression.

The prevalence of ADHD diagnoses more than doubled in VA settings between 2009 and 2016 (Hale et al., 2020). However, attentional difficulties are not exclusive to ADHD and can also be seen in non-neurodevelopmental disorders, including depression, anxiety, substance use, and PTSD (Marshall et al., 2018, Suhr et al., 2008). Further, patients can easily feign symptoms of ADHD with few available instruments for accurate detection (Robinson & Rogers, 2018). Given the significant symptom overlap and rising rates of reported ADHD among Veterans, accurate detection of feigned ADHD is essential.

This study examined the utility of the experimental Dissimulation ADHD scale (Ds-ADHD; Robinson & Rogers, 2018) on the MMPI-2, in detecting feigned ADHD presentation within a mixed sample of Veterans.

In this retrospective study, 173 Veterans (Mage = 36.18, SDage = 11.10, Medu = 14.01, SDedu = 2.11, 88% male, 81% White, and 17% Black) were referred for neuropsychological evaluation of ADHD that included the MMPI-2 and up to 10 PVTs. Participants were assigned to a credible group (n=146) if they passed all PVTs or a non-credible group (n=27) if they failed two or more PVTs. Group assignment was also clinically confirmed. The Ds-ADHD was used to differentiate groups who either had credible or non-credible performance on cognitive measures. Consistent with Robinson and Rogers’ study, “true” answers (i.e., erroneous stereotypes) were coded as 1 and “false” answers were coded as 2, creating a 10- to 20-point scale. Lower scores were associated with a higher likelihood of a feigned ADHD presentation.

Preliminary analyses revealed no significant group differences in age, education, race, or gender (ps > .05). An ANOVA indicated a significant difference between groups (F[1, 171] = 10.44, p = .001; Cohen’s d = .68) for Ds-ADHD raw scores; Veterans in the non-credible group reported more “erroneous stereotypes” of ADHD (M raw score = 13.33, SD = 2.20) than those in the credible group (M = 14.82, SD = 2.20). A ROC analysis indicated AUC of .691 (95% CI = .58 to .80). In addition, a cut score of <12 resulted in specificity of 91.8% and sensitivity of 18.5%, whereas a cut score of <13 resulted in specificity of 83.6% and sensitivity of 44.4%.

The Ds-ADHD scale demonstrated significant differences between credible and non-credible respondents in a real-world setting. Previously, this scale has primarily been studied within laboratory settings. Further, results indicate a cut score of <12 could be used in order to achieve adequate specificity (i.e., >90%), which were similar findings to a study examining SVT-based groups (Winiarski et al., 2023). These results differ slightly from prior research by Robinson and Rogers (2018), who indicated a cut score of <13 based on the initial simulation-based study. In similar clinical settings, where there are high rates of psychiatric comorbidity, a cut score of <12 may prove clinically useful. However, this cut-score was associated with low sensitivity within this mixed Veteran sample. Further research should focus on replicating findings within other clinical settings, including ones with larger non-credible samples.