Major depressive disorder (MDD) and insulin resistance-related conditions are major contributors to global disability. Their co-occurrence complicates clinical outcomes, increasing mortality and symptom severity.

In this study, we investigated the association of insulin resistance-related conditions and related polygenic scores (PGSs) with MDD clinical profile and treatment outcomes, using primary care records from UK Biobank.

We identified MDD cases and insulin resistance-related conditions, as well as measures of depression treatment outcomes (e.g. resistance) from the records. Clinical-demographic variables were derived from self-reports, and insulin resistance-related PGSs were calculated using PRS-CS. Univariable analyses were conducted to compare sociodemographic and clinical variables of MDD cases with (IR+) and without (IR−) lifetime insulin resistance-related conditions. Multiple regressions were performed to identify factors, including insulin resistance-related PGSs, potentially associated with treatment outcomes, adjusting for confounders.

Among 30 919 MDD cases, 51.95% were IR+. These had more antidepressant prescriptions and classes utilisation and longer treatment duration than patients without insulin resistance-related conditions (P < 0.001). IR+ participants showed distinctive depressive profiles, characterised by concentration issues, loneliness and inadequacy feelings, which varied according to the timing of MDD diagnosis relative to insulin resistance-related conditions. After adjusting for confounders, insulin resistance-related conditions (i.e. cardiovascular diseases, hypertension, non-alcoholic fatty liver disease, obesity/overweight, prediabetes and type 2 diabetes mellitus) were associated with antidepressant non-response/resistance and longer treatment duration, particularly when MDD preceded insulin resistance-related conditions. No significant PGS associations were found with antidepressant treatment outcomes.

Our findings support an integrated treatment approach, prioritising both psychiatric and metabolic health, and public health strategies aimed at early intervention and prevention of insulin resistance in MDD.

Research on mortality and admissions for physical health problems across eating disorder diagnoses in representative settings is scarce. Inequalities in these outcomes across a range of sociodemographic characteristics have rarely been investigated.

We investigated whether people with eating disorders had greater all-cause mortality and physical health-related in-patient admissions compared with those without eating disorders, and whether associations varied by sex, ethnicity, deprivation, age and calendar year at diagnosis.

Using primary care Clinical Research Practice Datalink linked to Hospital Episode Statistics, we matched people with an incident eating disorder diagnosis (any, anorexia nervosa, bulimia nervosa, eating disorders not otherwise specified, generic eating disorder or a referral code) from primary care Read codes to four people without eating disorders (1:4 matching) on year of birth, sex, primary care practice, year of registration and index date. We used univariable and multivariable Cox (mortality) and Poisson (admissions) models, and fitted interactions to investigate whether associations varied by sociodemographic characteristics.

We included 58 735 people (90.1% female, 91.6% White). People with any eating disorders had higher all-cause mortality (hazard ratio: 2.15, 95% CI: 1.73–2.67). Anorexia nervosa had the highest mortality (hazard ratio: 3.49, 95% CI: 2.43–5.01). People with any eating disorders had higher rates of planned (incidence rate ratio (IRR): 1.80, 95% CI: 1.4–1.87) and emergency admissions for physical health problems (IRR: 2.35. 95% CI: 2.35–2.46) and emergency admissions for injuries, accidents and substance misuse (IRR: 5.26, 95% CI: 5.24–5.29). Mortality and admission rate ratios were greater in males.

People with eating disorders have high rates of mortality and physical health-related admissions. Observed inequalities call for an understanding of why such inequalities exist. These findings highlight the need for prompt and effective treatment for eating disorders, and for improved guidance on primary care management of people with eating disorders.

Accumulating evidence shows that an increasing number of children and young people (CYP) are reporting mental health problems.

To investigate emotional disorders (anxiety or depression) among CYP in England between 2004 and 2017, and to identify which disorders and demographic groups have experienced the greatest increase.

Repeated cross-sectional, face-to-face study using data from the Mental Health of Children and Young People surveys conducted in 2004 and 2017, allowing use of nationally representative probability samples of CYP aged 5–16 years in England. A total of 13 561 CYP were included across both survey waves (6898 in 2004 and 6663 in 2017). We assessed the prevalence of any emotional, anxiety and depressive disorder assessed using the Development and Well-Being Assessment and classified according to ICD-10 criteria.

The prevalence of emotional disorders increased from 3.9% in 2004 to 6.0% in 2017, a relative increase of 63% (relative ratio 1.63, 95% CI 1.38, 1.91). This was largely driven by anxiety disorders, which increased from 3.5 to 5.4% (relative ratio 1.63, 95% CI 1.37, 1.93). The largest relative changes were for panic disorder, separation anxiety, social phobia and post-traumatic stress disorder. Changes were similar for different genders and socioeconomic groups, but differed by ethnicity: the most pronounced increase was among White CYP (relative ratio 1.88, 95% CI 1.59, 2.24), compared with no clear change for Black and minority ethnic CYP (relative ratio 0.85, 95% CI 0.52, 1.39). Comorbid psychiatric conditions were present in over a third of CYP with emotional disorders, with the most common being conduct disorder.

Between 2004 and 2017, the increase in emotional disorders among CYP in England was largely driven by anxiety disorders. Socioeconomic inequalities did not narrow. Disaggregating by ethnicity, change was evident only in White CYP, suggesting differential trends in either risk exposure, resilience or reporting by ethnicity.

Electronic health records (EHRs), increasingly available in low- and middle-income countries (LMICs), provide an opportunity to study transdiagnostic features of serious mental illness (SMI) and its trajectories.

Characterise transdiagnostic features and diagnostic trajectories of SMI using an EHR database in an LMIC institution.

We conducted a retrospective cohort study using EHRs from 2005–2022 at Clínica San Juan de Dios Manizales, a specialised mental health facility in Colombia, including 22 447 patients with schizophrenia (SCZ), bipolar disorder (BPD) or severe/recurrent major depressive disorder (MDD). Using diagnostic codes and clinical notes, we analysed the frequency of suicidality and psychosis across diagnoses, patterns of diagnostic switching and the accumulation of comorbidities. Mixed-effect logistic regression was used to identify factors influencing diagnostic stability.

High frequencies of suicidality and psychosis were observed across diagnoses of SCZ, BPD and MDD. Most patients (64%) received multiple diagnoses over time, including switches between primary SMI diagnoses (19%), diagnostic comorbidities (30%) or both (15%). Predictors of diagnostic switching included mentions of delusions (odds ratio = 1.47, 95% CI 1.34–1.61), prior diagnostic switching (odds ratio = 4.01, 95% CI 3.7–4.34) and time in treatment, independent of age (log of visit number; odds ratio = 0.57, 95% CI 0.54–0.61). Over 80% of patients reached diagnostic stability within 6 years of their first record.

Integrating structured and unstructured EHR data reveals transdiagnostic patterns in SMI and predictors of disease trajectories, highlighting the potential of EHR-based tools for research and precision psychiatry in LMICs.

Sensitivity to ovarian hormone fluctuations can lead to mental distress during the luteal phase of the menstrual cycle, such as in premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD), and also during pregnancy and postpartum, as in perinatal depression (PND).

In two cohorts, we investigated the relationship between history of PMS/PMDD and PND symptoms. We also examined how premenstrual symptoms are associated with perinatal symptom trajectories and dimensional phenotypes of PND symptoms, which remains unidentified.

From early pregnancy until 6 months postpartum, participants of two large longitudinal cohorts were followed using the Edinburgh Postnatal Depression Scale (EPDS). Premenstrual symptoms were self-reported retrospectively.

Both pre-pregnancy PMS and PMDD were associated with higher EPDS scores across pregnancy and postpartum, even after adjustment for confounders. The odds of developing PND were higher among those reporting PMS and PMDD, ranging up to 1.68 (95% CI 1.25–2.29) (6–13 weeks postpartum) and 3.05 (95% CI 2.26–4.10) (late pregnancy) respectively for PMS and PMDD, throughout the perinatal period. Premenstrual symptomatology was associated more with certain PND trajectories based on the time of occurrence and persistence of symptoms. However, PND symptom severity did not differ depending on premenstrual symptomatology in any trajectory. Prior PMS/PMDD was associated with underlying dimensions of symptom constructs of PND, including severe and moderate symptoms of depressed mood, anxiety and anhedonia.

Women with a history of PMS/PMDD require coordinated care by psychiatrists, other mental health clinicians, midwives and gynaecologists during pregnancy as well as postpartum.

While biomarkers are widely used in other medical fields, psychiatry has yet to introduce reliable biological diagnostic tools. Female reproductive transitions provide a unique window of opportunity for investigating psychiatric biomarkers. Hormonal changes across menstruation, pregnancy, parturition and perimenopause can have dramatic effects on mental health in vulnerable individuals, enabling the identification of unique biomarkers associated with these fluctuations.

This review integrates current evidence concerning potential biomarkers, with focus on recent human studies in perinatal depression, anxiety and obsessive–compulsive disorder, postpartum psychosis, premenstrual dysphoric disorder and perimenopausal depression.

We identified potential articles to be included in this narrative review by using PubMed to obtain articles in English since 2010 on the six conditions listed above, with the additional keywords of ‘biomarker’, ‘epigenetics’, ‘neuroactive steroid’, ‘immune’, ‘inflammatory’ and ‘neuroimaging’.

There is substantial published evidence regarding potential biomarkers of reproductive psychiatric disorders in the areas of epigenetics, neuroactive steroids, immune function and neuroimaging. This body of research holds significant potential to advance biomarker development, uncover disease mechanisms and improve diagnostic and therapeutic strategies, but there is as yet no clinically useful biomarker in commercial development for any reproductive psychiatric disorder.

There is an urgent need for longitudinal, large-scale and multi-modal studies to examine potential biomarkers and better understand their functions across various stages of reproduction.

Older adults with treatment-resistant depression (TRD) benefit more from treatment augmentation than switching. It is useful to identify moderators that influence these treatment strategies for personalised medicine.

Our objective was to test whether age, executive dysfunction, comorbid medical burden, comorbid anxiety or the number of previous adequate antidepressant trials could moderate the superiority of augmentation over switching. A significant moderator would influence the differential effect of augmentation versus switching on treatment outcomes.

We performed a preplanned moderation analysis of data from the Optimizing Outcomes of Treatment-Resistant Depression in Older Adults (OPTIMUM) randomised controlled trial (N = 742). Participants were 60 years old or older with TRD. Participants were either (a) randomised to antidepressant augmentation with aripiprazole (2.5–15 mg), bupropion (150–450 mg) or lithium (target serum drug level 0.6 mmol/L) or (b) switched to bupropion (150–450 mg) or nortriptyline (target serum drug level 80–120 ng/mL). Treatment duration was 10 weeks. The two main outcomes of this analysis were (a) symptom improvement, defined as change in Montgomery–Asberg Depression Rating Scale (MADRS) scores from baseline to week 10 and (b) remission, defined as MADRS score of 10 or less at week 10.

Of the 742 participants, 480 were randomised to augmentation and 262 to switching. The number of adequate previous antidepressant trials was a significant moderator of depression symptom improvement (b = −1.6, t = −2.1, P = 0.033, 95% CI [−3.0, −0.1], where b is the coefficient of the relationship (i.e. effect size), and t is the t-statistic for that coefficient associated with the P-value). The effect was similar across all augmentation strategies. No other putative moderators were significant.

Augmenting was superior to switching antidepressants only in older patients with fewer than three previous antidepressant trials. This suggests that other intervention strategies should be considered following three or more trials.

A key step toward understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of sex-specific patterns of brain organisation at the critical transition from childhood to adolescence. Prior work suggests that individual differences in the spatial organisation of functional brain networks across the cortex are associated with psychopathology and differ systematically by sex.

We aimed to evaluate the impact of sex on the spatial organisation of person-specific functional brain networks.

We leveraged person-specific atlases of functional brain networks, defined using non-negative matrix factorisation, in a sample of n = 6437 youths from the Adolescent Brain Cognitive Development Study. Across independent discovery and replication samples, we used generalised additive models to uncover associations between sex and the spatial layout (topography) of personalised functional networks (PFNs). We also trained support vector machines to classify participants’ sex from multivariate patterns of PFN topography.

Sex differences in PFN topography were greatest in association networks including the frontoparietal, ventral attention and default mode networks. Machine learning models trained on participants’ PFNs were able to classify participant sex with high accuracy.

Sex differences in PFN topography are robust, and replicate across large-scale samples of youth. These results suggest a potential contributor to the female-biased risk in depressive and anxiety disorders that emerge at the transition from childhood to adolescence.

Ketamine exerts potent but transient antidepressant effects in treatment-resistant depression (TRD). Combinations of ketamine and psychotherapy have attracted interest, but no trial has investigated a psychedelic model of ketamine–psychotherapy for TRD to our knowledge.

This secondary analysis of a randomised clinical trial (RCT) explores the therapeutic effects and experiential mechanisms of the Montreal Model of ketamine–psychotherapy for TRD, with or without music.

A two-centre, single-blinded, RCT conducted in Montreal, Canada, between January 2021 and August 2022 (NCT04701866). Participants received ketamine–psychotherapy for TRD – six subanaesthetic infusions over 4 weeks and psychological support – with either music or matched non-music support during ketamine doses, as per random group assignments. The primary therapeutic outcome was the Montgomery–Åsberg Depression Rating Scale, assessed by blinded raters. Psychedelic-like experiences, evaluated by the Mystical Experience Questionnaire and Emotional Breakthrough Inventory, and their session-by-session relationships with depression were explored with multilevel, time-lagged covariate models with autoregressive residuals.

Thirty-two participants with severe and highly comorbid TRD, including high rates of personality disorder and suicidality, received 181 ketamine infusions. Therapeutic outcomes and psychedelic experiences did not differ between music (n = 15) and non-music (n = 17) interventions. Both groups experienced significant reductions in clinician-rated and self-reported depression (d = 1.2 and d = 0.87, respectively; p < 0.001), anxiety (d = 0.8, p < 0.001) and suicidality (d = 0.4, p < 0.05) at 4 weeks, fully maintained at 8-week follow-up. Ketamine experiences were highly emotional and mystical. Converging analyses supported mystical-like ketamine experiences as mechanisms of its antidepressant effects.

This trial found large and notably sustained benefits of ketamine–psychotherapy for severe TRD, with or without music, and psychedelic experiences of comparable intensity to those observed with psilocybin. Mystical-like experiences may particularly contribute to ketamine’s immediate and persistent psychiatric benefits.

Due to historical under-recognition of attention-deficit hyperactivity disorder (ADHD) among girls and women, little is known about female-specific factors that may affect individuals with ADHD, including those related to changes in ovarian hormones (e.g. across the menstrual cycle).

We investigated whether females with a self-reported clinical diagnosis of ADHD are more likely to experience premenstrual dysphoric disorder (PMDD). We also examined associations between PMDD and ADHD defined by a symptom and impairment threshold.

Participants were aged between 18 and 34 years, were assigned female at birth and were recruited via Prolific.com (n = 715). Participants self-reported clinician diagnosis of ADHD, depression and anxiety. ADHD symptoms were assessed via the Adult ADHD Self-Report Scale (ASRS), to which we applied a DSM-5-based symptom and impairment cut-off (‘ASRS-based ADHD’). PMDD symptoms were assessed via the Premenstrual Symptoms Screening Tool (PSST), which identifies provisional PMDD. Using Poisson regression models, we compared risk for provisional PMDD among females with ADHD (self-reported clinical diagnosis [n = 102] or ASRS-based [n = 229]) with a non-ADHD reference group (n = 305). We additionally compared risk for provisional PMDD among individuals with ADHD and depression/anxiety diagnoses, ADHD only and a non-ADHD reference group.

The prevalence of provisional PMDD was elevated among individuals with a self-reported clinical ADHD diagnosis (31.4%), and among participants with ASRS-based ADHD (41.1%), compared with the non-ADHD reference group (9.8%). Individuals with ASRS-based ADHD and depression and/or anxiety diagnoses were at highest risk for provisional PMDD (relative risk 4.53 [3.10, 6.61]) compared with the non-ADHD reference group.

Clinicians should be aware that individuals with a diagnosis of ADHD, or with high ADHD symptom levels, and who have a menstrual cycle may be more likely to experience PMDD. Future research should investigate the underlying mechanisms that link ADHD and disorders associated with hormonal sensitivity, such as PMDD.

Psychological symptoms in perimenopause and early menopause are common. The impact of menopausal hormone therapy (MHT) on menopausal mood symptoms is unclear.

To assess the impact of 17β-oestradiol ± micronised progesterone or the levonorgestrel-releasing intrauterine device, and/or transdermal testosterone, on depressive and anxiety symptoms in peri- and postmenopausal women.

A real-world retrospective cohort study set in the largest specialist menopause clinic in the UK. The Meno-D questionnaire measured mood-related symptoms.

The study included 920 women: 448 (48.7%) perimenopausal, and 435 (47.3%) postmenopausal. Following initiation/optimisation of MHT, mean Meno-D scores decreased by 44.59% (95% CI −46.83% to −42.34%, P < 0.001) after average 107 days follow-up. Mood symptoms significantly improved (P < 0.01 per symptom). Improvement occurred in peri- and postmenopausal women. All MHT regimens improved mental health including both progestogen types (body-identical progesterone and levonorgestrel-releasing intrauterine device), MHT initiation strategy (oestradiol ± a progestogen versus oestradiol ± a progestogen and testosterone, 45.38 v. 48.53%, respectively, P = 0.47) and MHT optimisation strategy (MHT users treated with a higher oestradiol dose versus testosterone added versus both a higher oestradiol dose and testosterone, 34.70, 43.93 and 43.25%, respectively, P = 0.38).

Use of menopausal hormone therapy was associated with significant improvement in mood in peri- and postmenopausal women. Prospective studies and randomised clinical trials are needed to assess the effects of different regimens in different patient populations over longer time periods.

Premenstrual dysphoric disorder (PMDD) is common, with at least 3% of the female population affected by one or more of the typical mood symptoms of depression, irritability, mood swings and anxiety. The cyclicity and close relationship to the luteal phase of the menstrual cycle is characteristic for this syndrome and positive allosteric modulators (PAMs) on the GABAA receptor, especially allopregnanolone, are believed to be involved in the symptomatology.

To summarise the research on the role of PAMs and other neuroactive steroids in the pathophysiology of PMDD.

PubMed was searched for articles including the terms Premenstrual syndrome, AND neurosteroids OR allopregnanolone OR GABA OR oestradiol. Many additional publications were previously known to the authors and basic animal research was covered in a secondary step through reference lists.

There is evidence that allopregnanolone, like other PAMs of the GABAA receptor, is sedative in high concentrations and, in a minor proportion of the population, causes anxiety and irritability at lower levels, pointing to an inter-individual difference in sensitivity. In research comparing women with PMDD and healthy controls, differences in brain function and subcomposition of GABAA receptors related to levels of allopregnanolone have been found. Also, the varying levels of neuroactive steroids in general seem to worsen the symptoms. Supressed ovulation is effective but add-back hormones are necessary to prevent severe side-effects and could cause adverse mood in these individuals.

There is yet no effective treatment for PMDD available. Allopregnanolone seems to be a key provocateur of PMDD symptoms in susceptible individuals. Future research should focus on interventions that interfere with the effects of neurosteroids or the plasticity of the GABAA receptor itself.

Stress, a major risk factor for mental health problems, is influenced by hormonal fluctuations from the menstrual cycle and hormonal oral contraceptives (OC). Despite widespread use, the impact of hormonal intrauterine devices (IUDs) on stress is limited to one study.

This study examines psychoendocrine stress responses in women using IUDs, OCs and women with a natural, regular menstrual cycle (NC) to better understand how endogenous and exogenous hormones influence stress.

Using a repeated-measures design, we investigated stress responses in IUD and OC users and NC women. The Maastricht Acute Stress Task and its control task were applied twice within 4 months to assess subjective, endocrine and physiological stress correlates. Detailed endogenous and exogenous hormonal profiles were obtained, and women completed a 7-day diary (via ecological momentary assessment) after each appointment.

Based on subjective, physiological and cortisol responses, stress induction was successful in all groups. IUD users reported higher subjective stress, negative affect and anxiety and lower positive affect compared to NC women. OC users exhibited a blunted cortisol response and higher heart rate but reported less acute stress and negative emotions than the other groups in the 7-day diary. Oestradiol and progesterone were suppressed in OC and IUD users compared with NC women. Progesterone, testosterone and oestradiol were differently associated with skin conductance, socio-emotional stress and negative affect.

IUD and OC use distinctly affect stress response, possibly because of their diverging metabolic pathways and hormone levels. IUD users showed higher emotional reactivity to stress in both lab and daily life, while OCs influenced physiological correlates. These findings highlight that exogenous hormone administration, previously thought to have limited systemic effects, affects women’s psychological well-being, underscoring the need for further research into stress-related disorders among women using hormonal contraceptives.

Menopause is an inflection point in the ageing trajectory. Independent of chronological age, menopause is associated with the biological ageing of several body systems. In this review, we highlight the importance of considering the influence of menopause – its types, symptoms and interventions – on brain health. Supplementing the loss of ovarian hormones with menopausal hormone therapy (MHT) may be key for supporting the healthy brain ageing of females. MHT has been associated with reduced risk of several neurodegenerative diseases; however, its benefits are not always observed on brain health.

This narrative review highlights often overlooked MHT factors that influence its effects to produce positive or negative effects on brain health, cognition and neurodegenerative disease risk. These factors include the many varieties of MHT, including formulation, administration route and dosing schedule, as well as individual characteristics, particularly the presence of vasomotor symptoms and apolipoprotein ε4 (APOE4) genotype.

PubMed and Scopus were used to identify articles with relevant search terms.

Menopause factors, including age, abruptness and symptoms, influence brain ageing. MHT influences brain health, with transdermal MHT showing more positive effects on brain ageing, but its effectiveness may depend on individual factors such as genotype, reproductive and lifestyle factors.

To develop effective and individualised MHT treatments, further research is needed. Preclinical models must consider the type of human menopause and MHT. To achieve the greatest dementia prevention in females, more menopause education and care is needed that extends beyond 60 years of age, or 10 years postmenopause.

Clozapine is the antipsychotic of choice for people with treatment-resistant schizophrenia (TRS) but is associated with the uncommon but potentially life-threatening adverse effect of myocarditis. However, there are no criteria for diagnosing clozapine-associated myocarditis (CAM) or global guidelines on detection and risk reduction, or for restarting clozapine after CAM.

To develop criteria for CAM and algorithms for clozapine initiation and clozapine rechallenge after CAM in a multiprofessional consensus process.

We conducted a systematic literature search for cases of clozapine rechallenge following CAM using the PubMed, EMBASE, CINAHL and PsycINFO databases, followed by a multidisciplinary international two-step Delphi consensus process in July and October 2024. The Delphi panel comprised psychiatrists, cardiologists, pharmacists, psychopharmacologists and nurses with expertise on clozapine or myocarditis.

Ninety-three clinicians and academics with experience in prescribing clozapine from six continents participated in the Delphi process. A consensus was reached on a definition of CAM according to modified clinical criteria from the European Society of Cardiology for myocarditis associated with immune checkpoint inhibitors. Titration schemes slower than those given in the Summary of Product Characteristics for clozapine were recommended to minimise CAM risk. Minimum and enhanced requirements for screening and monitoring were developed to account for global perspectives and limited resources in certain healthcare systems, and an approach to clozapine rechallenge was elaborated.

This multidisciplinary project represents the first guidance for CAM and will inform clinicians, other caregivers and patients, as well as facilitating the development of national guidelines on CAM prevention, screening and monitoring and rechallenge after an index episode of myocarditis in individuals taking clozapine.

Sleep problems are common among people with psychosis. Research suggests poor sleep is causally related to psychosis, anxiety and depression.

This review investigates the effectiveness and acceptability of cognitive–behavioural therapy (CBT) in targeting sleep problems in people with and at risk of psychosis.

Four databases were searched in line with PRISMA guidelines. Eligible studies either evaluated (a) CBT targeting sleep problems in people with or at risk of psychosis, or (b) subjective experiences of this treatment. Articles not published in peer-review journals were excluded. Treatment effectiveness was investigated for sleep, psychosis and other clinical outcomes. Acceptability was evaluated using qualitative data, drop-out rates, adverse events and relevant questionnaires. Adaptations to standard treatment protocols were described. Research quality was appraised using Cochrane Risk of Bias tools for randomised and non-randomised trials, and a checklist was developed for qualitative papers.

Of the 975 records identified, 14 were eligible. The most common CBT target was insomnia. Treatment protocols were typically adapted by omitting sleep restriction. Large effect sizes were reported for sleep outcomes; however, effects for other clinical outcomes were less clear. Qualitative data and acceptability outcomes suggest that treatment was received positively by participants.

CBT is an effective and acceptable treatment for sleep problems in people with and at risk of psychosis. However, our conclusions are limited by few good-quality studies and small samples. Further gold-standard research is required to inform evidence-based guidelines.