The COVID-19 pandemic created stressors to daily living, leading to increased mental health problems. It is important to assess the influence of COVID-19 pandemic on mental health, specifically anxiety.

The goal was to determine the prevalence and sociodemographic, clinical, and other correlates of likely Generalized Anxiety Disorder (GAD) among study subjects in Ghana.

This study employed a cross-sectional approach, using an online survey administered primarily through social media platforms. The survey questions included the GAD-7 scale, which was used to assess likely GAD in respondents. Data were analyzed using descriptive statistics, chi-square tests, and logistic regression analysis.

Overall, 756 respondents completed the survey, mainly from Ashanti and Greater Accra, which were the hardest hit by COVID-19.

The prevalence of likely GAD in our sample was 7.6%. Gender, loss of job due to COVID-19, and seeking mental health counseling were independently associated with increased likelihood of GAD.

The findings suggest that women, those who lost their jobs due to the COVID-19 pandemic, and those who sought mental health counseling were more likely to experience moderate to high anxiety symptoms as a result of the COVID-19 pandemic. Priority must be attached to psychological support measures for members of these groups.

Epidemiological studies show that despite the episodic nature, the long-term trajectory of depression can be variable. This study evaluated the heterogeneity of 10-year trajectory of major depressive disorder (MDD) related service utilization and associated clinical characteristics among US Veterans with a first diagnosis after 9/11.

Using a cohort design, electronic health record data for 293,265 Operation Enduring Freedom and Iraqi Freedom (OEF/OIF) Veterans were extracted to identify those with MDD between 2001 and 2021 with a full preceding year of clinical data and 10 years following the diagnosis. Latent class growth analysis compared clinical characteristics associated with four depression trajectories. Across all Veterans Affairs (VA)hospitals, 25,307 Veterans met our inclusion criteria. Demographic and clinical information from medical records was extracted and used as predictors of depression 10-year trajectories.

Among the study cohort (N = 25,307), 27.7% were characterized by brief contact, 41.7% were later re-entry, 17.6% were persistent contact and 12.9% were prolonged initial contact for depression related services. Compared to Veterans with trajectories showing brief contact, those with protracted treatment (persistent or prolonged initial contact) were more likely to be diagnosed with comorbid posttraumatic stress disorder (PTSD) and with MDD that was moderate to severe or recurrent.

Depression is associated with a range of treatment trajectories. The persistent and prolonged initial contact trajectories may have distinct characteristics and uniquely high resource utilization and disability income. We can anticipate that patients with comorbid PTSD may need longer-term care which has implications for brief models of care.

Tools based on generative artificial intelligence (AI) such as ChatGPT have the potential to transform modern society, including the field of medicine. Due to the prominent role of language in psychiatry, e.g., for diagnostic assessment and psychotherapy, these tools may be particularly useful within this medical field. Therefore, the aim of this study was to systematically review the literature on generative AI applications in psychiatry and mental health.

We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search was conducted across three databases, and the resulting articles were screened independently by two researchers. The content, themes, and findings of the articles were qualitatively assessed.

The search and screening process resulted in the inclusion of 40 studies. The median year of publication was 2023. The themes covered in the articles were mainly mental health and well-being in general – with less emphasis on specific mental disorders (substance use disorder being the most prevalent). The majority of studies were conducted as prompt experiments, with the remaining studies comprising surveys, pilot studies, and case reports. Most studies focused on models that generate language, ChatGPT in particular.

Generative AI in psychiatry and mental health is a nascent but quickly expanding field. The literature mainly focuses on applications of ChatGPT, and finds that generative AI performs well, but notes that it is limited by significant safety and ethical concerns. Future research should strive to enhance transparency of methods, use experimental designs, ensure clinical relevance, and involve users/patients in the design phase.

Cancer diagnosis and treatment can result in a significant psychological burden. This study sought to investigate the prevalence of major depression, associated treatments, and suicidal ideation in cancer survivors compared to a non-cancer cohort.

This is a retrospective, population-based study using survey responses from the National Survey on Drug Use and Health collected from January 2015 to December 2019. Survey data sets were queried for all respondents who provided a cancer history. Respondents with a reported history of cancer (“cancer survivors”) were further stratified by whether they reported a “recent” cancer diagnosis within the past 12 months. Survey responses were evaluated for recent diagnoses of and treatments for major depressive disorder and suicidal ideation.

Among the 212,411 survey respondents identified, 7,635 (3.6%) reported a cancer history, with 1,486 (0.7%) reporting a recent cancer history. There were no differences in prevalence of major depression between cancer survivors and participants without cancer (9.3% vs 9.2%, p = 0.762), though the prevalence was slightly higher among recent cancer survivors (10.0% vs 9.2%, p = 0.259). Among respondents diagnosed with major depression, cancer survivors were significantly more likely to receive treatment for depression (78.6% vs 60.3%, p < 0.001). Suicidal ideation was significantly lower among cancer survivors (5.1% vs 6.2%, p < 0.001) including recent survivors (5.0% vs 6.2%, p < 0.001).

There was no overall difference in the prevalence of major depression between cancer survivors and respondents without cancer. Survivors with major depression were more likely to receive treatments. Prevalence of major depression was higher in recent cancer survivors.

Social prescribing is growing rapidly globally as a way to tackle social determinants of health. However, whom it is reaching and how effectively it is being implemented remains unclear.

To gain a comprehensive picture of social prescribing in the UK, from referral routes, reasons, to contacts with link workers and prescribed interventions.

This study undertook the first analyses of a large database of administrative data from over 160 000 individuals referred to social prescribing across the UK. Data were analysed using descriptive analyses and regression modelling, including logistic regression for binary outcomes and negative binomial regression for count variables.

Mental health was the most common referral reason and mental health interventions were the most common interventions prescribed. Between 72% and 85% of social prescribing referrals were from medical routes (primary or secondary healthcare). Although these referrals demonstrated equality in reaching across sociodemographic groups, individuals from more deprived areas, younger adults, men, and ethnic minority groups were reached more equitably via non-medical routes (e.g. self-referral, school, charity). Despite 90% of referrals leading to contact with a link worker, only 38% resulted in any intervention being received. A shortage of provision of community activities – especially ones relevant to mental health, practical support and social relationships – was evident. There was also substantial heterogeneity in how social prescribing is implemented across UK nations.

Mental health is the leading reason for social prescribing referrals, demonstrating its relevance to psychiatrists. But there are inequalities in referrals. Non-medical referral routes could play an important role in addressing inequality in accessing social prescribing and therefore should be prioritised. Additionally, more financial and infrastructural resource and strategic planning are needed to address low intervention rates. Further investment into large-scale data platforms and staff training are needed to continue monitoring the development and distribution of social prescribing.

Minoritised young people face a double burden of discrimination through increased risk of stress and differential treatment access. However, acute care pathways for minoritised young people with urgent mental health needs are poorly understood.

To explore variation in stress-related presentations (SRPs) to acute hospitals across racial-ethnic groups in England.

We examined rates, distribution, duration and types of SRPs across racial-ethnic groups in a retrospective cohort of 11- to 15-year-olds with one or more emergency hospital admissions between April 2014 and March 2020. SRPs were defined as emergency admissions for potentially psychosomatic symptoms, self-harm and internalising, externalising and thought disorders.

White British (8–38 per 1000 births) and Mixed White–Black (9–42 per 1000 births) young people had highest rates of SRPs, whereas Black African (5–14 per 1000 births), Indian (6–19 per 1000 births) and White other (4–19 per 1000 births) young people had the lowest rates of SRPs. The proportion of readmissions were highest for Pakistani (47.7%), White British (41.4%) and Mixed White–Black (41.3%) groups. Black Other (36.4%) and White Other (35.8%) groups had the lowest proportions of readmissions. The proportion of admission durations ≥3 days was higher for Black Other (16.6%), Bangladeshi (16.3%), Asian Other (15.9%) and Black Caribbean (15.8%) groups than their White British (11.9%) and Indian (11.8%) peers. The type of SRPs varied across racial-ethnic groups.

Patterns of SRP admissions systematically differed across racial-ethnic groups, indicative of inequitable triage, assessment and treatment processes. These findings highlight the need for implementation of race equality frameworks to address structural racism in healthcare pathways.

A double-blind, randomized, active-controlled, parallel-group, noninferiority trial (NCT03345342) demonstrated that paliperidone palmitate once-every-6-months (PP6M) was noninferior to paliperidone palmitate once-every-3-months (PP3M) in preventing relapse in clinically stable adults with schizophrenia. This post hoc analysis assessed efficacy and safety following transition to PP6M from paliperidone once-monthly (PP1M) versus PP3M.

Adults with schizophrenia who were clinically stable on moderate/high doses of PP1M or PP3M were randomly assigned 1:2 to dorsogluteal PP3M or PP6M treatment for 12 months. The primary efficacy measure was time to relapse during the 12-month DB phase. Secondary endpoints included change from DB baseline to endpoint in Positive and Negative Syndrome Scale (PANSS) total and subscale scores, Clinical Global Impression-Severity (CGI-S) scale score, and Personal and Social Performance (PSP) scale score. Safety was assessed by treatment-emergent adverse events (TEAEs), vital signs, and clinical laboratory tests.

Of 702 patients in the study, 231 transitioned from PP1M to PP6M and 247 transitioned from PP3M to PP6M. Low relapse rates for PP6M were observed regardless of transition pathway (PP1M/PP6M: 7.8%; PP3M/PP6M: 7.3%). Changes from DB baseline to endpoint in PANSS total, PSP, and CGI-S scores were similar between transition groups. In the DB phase, ≥1 TEAE was observed in 61.0% and 63.2% of patients in the PP1M/PP6M and PP3M/PP6M, groups, respectively.

Adults with schizophrenia who transitioned to PP6M from either PP1M or PP3M experienced similarly low relapse rates. Additionally, symptom and functionality scores supported the primary analysis and, along with TEAE incidences, were comparable between transition groups.

Legislation is a powerful tool for facilitating mental healthcare. Gender is an important social determinant of physical and mental health. Many jurisdictions are in the process of revising their mental health law, to align with human rights commitments. Consideration of gender in these revisions could enhance the mental healthcare received by women, transgender and non-binary individuals.

This paper examines gender-based provisions in mental health law published in English.

Countries that use English as an official language were identified. Jurisdictions in these countries with stand-alone mental health laws were included. Legislation was reviewed for gender-specific provisions.

Seventy-five countries were evaluated; 71 jurisdictions were included. Thirty-eight jurisdictions had 88 gender-specific provisions. These addressed ten key areas, including: general gender-based protections, female representation on boards and review panels, protections during searching and restraint, gender separated facilities, protections in relation to parenting, fertility, sterilisation and termination. Fiji, Ghana, India, and the Australian jurisdictions had the highest number of gender-specific laws. However, gender-specific provisions are highly heterogeneous and are drafted from a cisnormative perspective and fail to adequately address the specific needs of individuals outside of that framework.

Gender-specific provisions can enhance the protections afforded by mental health law. However, as legislation can be a blunt instrument, careful consideration must be given to potential unintended consequences. During revisions of mental health law consideration should be given to gender-specific provisions and legislation must be inclusive of individuals identifying as transgender, non-binary and other genders.

Between 2008 and 2019, we reported positive change relating to mental health stigma and discrimination among the adult population of England, supporting the effectiveness of the Time to Change campaign.

Using data from the Attitudes to Mental Illness survey (2008/2009 to 2023), we investigated the extent to which positive changes in stigma were sustained by 2023, 2 years after the programme's end in 2021.

We used regression analyses to evaluate trends in outcomes. Measures were of stigma-related knowledge (Mental Health Knowledge Schedule (MAKS)), attitudes (Community Attitudes toward the Mentally Ill scale (CAMI)) and desire for social distance (Reported and Intended Behaviour Scale (RIBS)). We also examined willingness to interact with people based on vignettes of depression and schizophrenia, and attitudes toward workplace discrimination, using data from the British Social Attitudes Survey for comparison.

CAMI scores improved between 2008 and 2023 (s.d. 0.24, 95% CI 0.16–0.31), but decreased since 2019 (P = 0.015). After improvements between 2009 and 2019, 2023 MAKS and RIBS scores no longer differed from 2009 scores, indicating decreases in stigma-related knowledge (MAKS scores declined 7.8%; P < 0.001) and willingness to interact (RIBS scores declined by 10.2%; P < 0.001) since 2019. Conversely, comparison with British Social Attitudes Survey data indicated that willingness to interact with people with depression and schizophrenia increased gradually between 2007, 2015 and 2023, and attitudes to workplace discrimination also improved.

The lasting positive changes reflect support for non-discrimination and willingness to interact with someone after a sense of familiarity is evoked. Besides the end of Time to Change, interpretations for declines in other outcomes include the COVID-19 pandemic and economic stress.

Growing evidence indicates an association between disordered eating and a range of mental health problems, including anxiety, depression and emotional dysregulation.

This study aimed to explore whether reducing risk factors for eating disorders, such as body dissatisfaction and low self-esteem, through school-based programmes can enhance adolescent mental health.

We searched PubMed, PsycINFO, EMBASE and Web of Science from the date of inception to 15 October 2023. Data were synthesised by using a systematic narrative synthesis framework, and formal assessments were conducted to assess the quality of the included studies.

After title/abstract screening and full-text assessment, 13 articles met the pre-specified inclusion criteria, comprising a total of 14 studies (n = 5853). Notably, three studies encompassed multiple programmes, leading to the identification of 17 eating disorder prevention programmes. Among these programmes, seven (41%) employed dissonance-based approaches. Topics covered in the programmes included psychoeducation, body acceptance, sociocultural issues, nutrition and physical activities, self-esteem and stress coping. Ten (59%) of the programmes were effective in improving adolescent mental health. Six of the 14 studies (43%) did not specify follow-up time, and quality assessments found the majority to be of either high (five studies, 36%) or fair (eight studies, 57%) quality.

The findings from the ten effective programmes consistently support the use of body acceptance strategies in improving the mental health of adolescent students. Brief interventions delivered by trained, non-licensed facilitators appear good for the sustainable implementation of in-school psychological services to support well-being among adolescents.