Neurodivergence encompasses neurodevelopmental conditions including autism, attention-deficit hyperactivity disorder (ADHD) and Tourette syndrome. Particular physical traits, notably those linked to joint hypermobility, have an established association with both neurodivergence and bipolar affective disorder.

This case-control study tested, first, whether the presence of joint hypermobility predicted bipolar affective disorder and, secondly, whether neurodivergent characteristics were important in understanding this relationship.

Data were collected from 52 participants with self-reported clinical diagnoses of bipolar affective disorder and from a comparison group of 54 participants without diagnosis of bipolar affective disorder. All participants were assessed on screening instruments for autism (Ritvo Autism Asperger Diagnostic Scale; RAADS-R), ADHD (Wender Utah Rating Scale; WURS) and joint hypermobility. Group differences were explored, and odds ratios calculated for the presence of bipolar and neurodivergence given the presence of hypermobility. A mediation analysis was performed to determine the contribution of neurodivergent characteristics to the relationship between joint hypermobility and bipolar affective disorder.

The presence of joint hypermobility significantly predicted the presence of bipolar disorder (odds ratio 5.1; 95% CI = 2.1, 12.4). In the bipolar affective disorder group, the prevalence of likely autism and ADHD was greater (84.6 and 65.4% respectively) than in the comparison group (22.2 and 3.7% respectively). The odds ratio for a diagnosis of bipolar affective disorder was 18.2 (95% CI = (6.70, 49.41)) in those meeting the threshold for likely autism; and 46.89 (95% CI = 9.96, 220.74) in participants meeting the threshold for likely ADHD. Mediation analysis showed that autistic, ADHD and pooled neurodivergent characteristics mediated the link between joint hypermobility and bipolar affective disorder.

This suggests a potential mechanism for affective pathophysiology, through developmental characteristics associated with joint hypermobility. The appreciation of interacting physical and neurodivergent traits to the expression of psychiatric illness has implications for diagnostic formulation, personalised medicine and service design.

Mental health difficulties affect the well-being of doctors and compromise the delivery of healthcare. However, large-scale data on doctors’ mental health needs are limited.

Describe patterns of self-referrals for mental health support among doctors in England and explore associations with demographic factors, speciality, neurodevelopmental and mental health indicators.

Observational study using data from doctors who self-referred for mental health difficulties to a national service in England over a 4-year period. Logistic regression was used to explore associations between speciality and mental health indicators.

Of the 16 815 doctors who self-referred during the study period, 80% were under the age of 49 and 70.6% were female with the two largest ethnicities being 65.1% White and 22.7% Asian. Women were more likely to report higher scores for depression (odds ratio 0.90, 95% CI = 0.84 to 0.97), anxiety (odds ratio 0.78, 95% CI = 0.72 to 0.84) and psychological distress (odds ratio 0.78, 95% CI = 0.70 to 0.87), but males were more likely to screen positive for attention-deficit hyperactivity disorder (ADHD) symptoms. Doctors in general practice accounted for 46.3% of referrals. Compared with them, doctors in most other specialities had higher odds of elevated mental health scores across all measures, including ADHD.

The findings highlight a significant mental health burden among self-referring doctors, particularly for females and doctors in non-general practice specialities. Tailored and easily accessible support strategies that account for both demographic and professional contexts are essential to address the diverse mental health needs of the medical workforce.

Attention-deficit hyperactivity disorder (ADHD) in childhood is associated with various adverse long-term outcomes.

We aimed to examine the independent associations between ADHD symptoms at age 14–16 years and long-term mental health and psychosocial functioning outcomes in a 40-year birth cohort study.

Study members from the Christchurch Health and Development Study, a population-based New Zealand birth cohort study (N = 1265 at birth) were followed to age 40 years. Generalised estimating equations were used to model associations between ADHD symptoms at age 14–16 years and outcomes at age 18–40. Adjusted models were fitted to account for confounding by antecedent individual and familial risk factors, and coexisting symptoms of conduct disorder or oppositional defiant disorder.

Adolescents in the highest quartile for ADHD symptoms at age 14–16 years were at elevated risk of substance use disorder, depression, suicidal ideation, criminal offending and unemployment across early adulthood. They also had lower income, home ownership, relationship stability and living standards. The size of these associations attenuated after adjusting for confounding factors and the effect of coexisting conduct disorder and oppositional defiant disorder. However, in adjusted models, ADHD symptoms remained associated with elevated odds of substance use and criminal offending outcomes, with odds ratios ranging from 1.4 to 1.6.

Higher levels of adolescent ADHD symptoms are associated with substance use problems and criminal offending in adulthood. Long-term secondary prevention activities are needed to detect and manage coexisting problems among adults with a history of ADHD.

Mental health awareness efforts are increasing, especially for ADHD. There is growing evidence that such efforts may also cause unnecessary self-diagnosis and worsening symptoms for some disorders; however, there are no validated approaches to avoid these potential harms without reducing the awareness efforts themselves. We developed a multifaceted intervention, called nocebo education. The intervention was based on the principles of the nocebo effect, where negative expectations may cause symptom misattribution and worsening. We tested whether teaching about the nocebo effect could mitigate the potential false self-diagnosis and symptom worsening from ADHD awareness.

In a double-blind randomized controlled trial with a week-long follow-up (NCT06638411), 215 healthy young adults (77% women) were randomized to participate in a group workshop on either ADHD awareness, ADHD combined with nocebo education, or control (sleep). We measured changes in self-diagnosis and ADHD symptoms immediately after the workshop (self-diagnosis), and 1-week later (self-diagnosis and symptoms).

ADHD group reported substantially higher self-diagnosis scores immediately $ ({\beta}_{\mathrm{standardised}}=0.80\;\left[0.58,1.02\right],p<.001 $) and 1 week after the workshop $ (\beta =0.50\;\left[0.28,0.72\right],p<.001 $) compared to controls. These effects persisted despite no changes in reported symptoms. Nocebo education halved the false self-diagnosis scores immediately after the workshop ($ \beta =0.45\;\left[0.23,0.67\right],p<.001 $) and eliminated the false self-diagnosis entirely at follow-up $ (\beta =0.16\;\left[-0.06,0.38\right],p=.08 $).

We show that being exposed to ADHD awareness reliably increases false self-diagnosis among healthy young adults for at least one week; a brief nocebo education intervention is efficacious in substantially reducing and later eliminating it. Nocebo education is a promising adjunct for balanced awareness efforts that could be applied in various contexts.

Methylphenidate (MPH), a commonly used stimulant for the treatment of attention deficit and hyperactivity disorder (ADHD) in children and adolescents, has been associated with adverse effects on weight, height, blood pressure (BP) and heart rate (HR). This study aimed to investigate whether children with ADHD prescribed MPH by a specialist ADHD service showed a change in health data percentiles compared to their pre-treatment measures, and to investigate for any correlation with MPH dose, years prescribed MPH and gender.

In this retrospective observational study health data percentiles (weight, height, BP and HR) were analysed for change between two timepoints: prior to MPH initiation (T1) and at the most recent clinic appointment (T2). Correlations between health data percentile changes and MPH dose, treatment duration, baseline growth centiles and gender were studied.

The cohort consisted of 123 youth (age 5-17.5 years) prescribed MPH (mean dose 0.67 ± 0.32 mg/Kg). Over the treatment period (2.5 ± 2.1 years) weight (P = 0.001) and height (P = 0.007) centiles significantly reduced, BP centiles did not change, while HR centiles increased (P < 0.0001). Weight centile reduction was correlated with higher MPH dose (P < 0.0001) and this effect attenuated with longer duration of MPH treatment (P = 0.005). Height centile reduction was more pronounced in the taller cohort (P = 0.008).

This study supports international guidelines for physical health monitoring of young people prescribed MPH, specifically the conversion of health data to percentiles for accurate monitoring and early identification of concerning trends. Future integration of digital approaches are necessary for rapid and accurate physical health monitoring.

Knowledge of the impact of perimenopause on women with attention-deficit/hyperactivity disorder (ADHD) is lacking. We compared levels of perimenopausal symptoms and prevalence of severe perimenopausal symptoms among women with and without ADHD across age groups.

In this cohort study, we used data from the population-based Stress-and-Gene-Analysis cohort study. ADHD diagnosis was self-reported at baseline and 5-year follow-up. At follow-up, we assessed ADHD symptoms using the Adult ADHD Self-Report Scale, perimenopausal symptoms (psychological, somatic, and urogenital) using Menopause Rating Scale (MRS), and general physical symptoms using Patient Health Questionnaire. We described mean scores and mean difference on MRS among women with and without ADHD with linear regression models and contrasted the prevalence of severe perimenopausal symptoms among women with and without ADHD, calculating prevalence ratios (PRs) with 95% confidence intervals (CIs) using modified Poisson regression models.

Women with ADHD (n = 535) had higher total perimenopausal symptom scores (18.0 vs. 13.0, p < 0.01) than women without ADHD (n = 4,857). The difference was most pronounced among women aged 35–39 years (19.0 vs. 12.5, p < 0.01). The prevalence of severe perimenopausal symptoms was significantly higher among women with ADHD compared to those without, both overall (54.2% vs. 30.1%, PR = 1.80, 95% CI = 1.64–1.98) and on all subdimensions (psychological: 58.6% vs. 36.0%, PR = 1.63, 95% CI = 1.51–1.76; somatic: 30.4% vs. 13.9%, PR = 2.20, 95% CI = 1.88–2.57; uro-genital: 43.2% vs. 27.5%, PR = 1.57, 95% CI = 1.40–1.77).

Women with ADHD have higher prevalence of severe perimenopausal symptoms. These symptoms present at an earlier age than among women without ADHD, indicating an earlier onset age of perimenopause in ADHD.

This study explores psychiatrists’ perceptions of Attention-Deficit Hyperactivity Disorder (ADHD) through the lens of evolutionary psychiatry, a growing field that reframes mental disorders in the context of adaptation and survival. Evolutionary theories suggest that traits associated with ADHD, such as impulsivity, hypercuriosity and novelty-seeking, may have been adaptive in ancestral environments, though they manifest as maladaptive in structured modern contexts.

A bespoke 10-item questionnaire was developed to assess psychiatrists’ attitudes following a presentation on evolutionary perspectives of ADHD by an expert. The questionnaire allowed rating in 5-point Likert fashion and was followed by a free text box for qualitative analysis. Basic descriptive statistics and One-Way ANOVA pairwise comparisons between groups was used to test for statistical significance. A p value of <0.05 was deemed statistically significant.

Forty-two participants, including 21 consultants and 19 psychiatry trainees completed the questionnaire. All participants rated their comprehension of the presentation as high/very high. Most strongly agreed that the information presented could improve psychiatry and therapeutic outcomes. However, consultants with more than 10 years of experience were less likely than trainees to report optimism about the practical applications of evolutionary frameworks. Qualitative feedback emphasized the relevance of evolutionary perspectives in clinical practice, particularly in reducing stigma and enhancing therapeutic engagement with patients and families.

While the results from this study were positive, limitations include the small sample size and lack of prepresentation baseline data. However, this study has formed part of the first step in investigating the perceptions and attitudes of psychiatrists on evolutionary perspectives on ADHD.

Cannabis use is elevated in youth with depression and attention-deficit/hyperactivity disorder (ADHD), but drivers of this increase remain underexplored. The self-medication hypothesis suggests cannabis is used by patients for mood regulation, a common difficulty in ADHD and depression. This study aimed to examine associations between mood instability and cannabis use in a large, representative clinical cohort of adolescents diagnosed with ADHD and/or depression.

Natural language processing (NLP) approaches were utilised to identify references to mood instability and cannabis use in the electronic health records of adolescents (aged 11–18 years) with primary diagnoses of ADHD (n = 7,985) or depression (n = 5,738). Logistic regression was used to examine mood instability as the main exposure for cannabis use in models stratified by ADHD and depression.

Mood instability was associated with a 25% higher probability of cannabis use in adolescents with ADHD compared to those with depression. Following adjustment for available sociodemographic and clinical covariates, mood instability was associated with increased cannabis use in both ADHD (aOR: 1.61 [95% CI: 1.41–1.84]) and depression (aOR: 1.38 [95% CI: 1.21–1.57]) groups.

This was the first study to explore the differential impact of mood instability on adolescent cannabis use across distinct diagnostic profiles. NLP analysis proved an efficient tool for examining large populations of adolescents accessing psychiatric services and provided preliminary evidence of a link between mood instability and cannabis use in ADHD and depression. Longitudinal studies using direct measures or tailored NLP techniques can further establish the directionality of these associations.

Few studies have examined attention-deficit/hyperactivity disorder (ADHD) symptoms in middle- and older-aged adults. We aim to examine the phenotypic expression of ADHD symptoms in these age groups.

This study comprised a random sample (N = 1,562) from the US Health and Retirement Study 2016, a representative US sample aged 50 years and over. ADHD symptoms were assessed based on the Adult ADHD Self-Report Scale.

In the primary analysis, 10 competing confirmatory factor analytic models of ADHD symptoms in middle- and older-aged adults were compared. The best-fitting model was hierarchical with a general ADHD factor at the apex and underneath symptom factors of inattention, hyperactivity, and impulsivity (ꭓ2 = 319.34, df = 91.71, P = 0.00, TLI = 0.98, CFI = 0.96, RMSEA = 0.04, 95% CI = 0.04–0.05). In complementary analyses, this model was a satisfactory fit to the data: (1) in individuals without a history of cognitive impairment or dementia, and when the general ADHD factor was specified to load on (2) cognitive function, (3) depressive symptoms (which showed adequate fit), and (4) ADHD polygenic scores, (5) in middle- and older-aged adults, and (6) when weighted to represent the US population.

These results imply a hierarchical representation of ADHD symptoms in middle- and older-aged adults consisting of a general factor at the apex with neurocognitive and genetic correlates and underneath symptom factors of inattention, hyperactivity, and impulsivity. Collectively, this model offers a novel framework to study the mechanisms of ADHD symptoms in middle- and older-aged adults and points to treatment targets.