BJPsych Open最新文献

Background: Despite mounting evidence linking neurological diseases with climate change, the link between autism spectrum disorder (ASD) and global warming has yet to be explored.

Aims: To examine the relationship between the incidence of ASD and global warming from 1990 to 2019 and estimate the trajectory of ASD incidence from 2020 to 2100 globally.

Method: We extracted meteorological data from TerraClimate between 1990 and 2019. To estimate the association between global ASD incidence and temperature variation, we adopted a two-stage analysis strategy using a generalised additive regression model. Additionally, we projected future ASD incidence under four representative shared socioeconomic pathways (SSPs: 126, 245, 370 and 585) by bootstrapping.

Results: Between 1990 and 2019, the global mean incidence of ASD in children under 5 years old was 96.9 per 100 000. The incidence was higher in males (147.5) than in females (46.3). A 1.0 °C increase in the temperature variation was associated with a 3.0% increased risk of ASD incidence. The association was stronger in boys and children living in a low/low-middle sociodemographic index region, as well as in low-latitude areas. According to the SSP585 scenario, by 2100, the children living in regions between 10 and 20° latitude, particularly in Africa, will experience a 68.6% increase in ASD incidence if the association remains. However, the SSP126 scenario is expected to mitigate this increase, with a less than 10% increase in incidence across all latitudes.

Conclusions: Our study highlights the association between climate change and ASD incidence worldwide. Prospective studies are warranted to confirm the association.

Background: 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.

Aims: 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.

Method: 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.

Results: 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.

Conclusions: 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.

Background: Existing self-rated depression measurement tools possess a range of psychometric drawbacks, spanning a range of validity and reliability constructs. The gold standard self-rated depression scales contain several variable items that are often non-specific, require respondents to have a certain level of language understanding and limited scoring options resulting in low sensitivity. The Maudsley three-item visual analogue scale (M3VAS) was developed to address these challenges.

Aims: This study aimed to translate the M3VAS into Chinese and test its reliability and validity.

Method: First, both M3VAS scales (assessing current severity and change in severity) were translated according to a standardised protocol to finalise the Chinese version. Reliability and validity were then examined among 550 young people with moderate to severe depression (patient health questionnaire-9 (PHQ-9) score ≥15) in a cross-sectional opportunistic questionnaire survey.

Results: The content validity of each item (six items, across both scales) ranged from 0.83 to 1.00. Exploratory factor analysis denoted a total of two common factors, with a variance contribution rate of 64.34%. The total score correlated positively with the PHQ-9 total score (r = 0.241, P < 0.01). The Chinese version of the M3VAS had good reliability and validity values, and the confirmatory factor model fit well.

Conclusions: The psychometric properties of the Chinese version of the M3VAS suggest that this scale can feasibly evaluate depression among young people in China.

Background: Despite the frequent co-occurrence of depression and diabetes, gender differences in their relationship remain unclear.

Aims: This exploratory study examined if gender modifies the association between depressive symptoms, prediabetes and diabetes with cognitive-affective and somatic depressive symptom clusters.

Method: Cross-sectional analyses were conducted on 29 619 participants from the 2007-2018 National Health and Nutrition Examination Survey. Depressive symptoms were measured by the nine-item Patient Health Questionnaire. Multiple logistic regression was used to analyse the relationship between depressive symptoms and diabetes. Multiple linear regression was used to analyse the relationship between depressive symptom clusters and diabetes.

Results: The odds of having depressive symptoms were greater in those with diabetes compared to those without. Similarly, total symptom cluster scores were higher in participants with diabetes. Statistically significant diabetes-gender interactions were found in the cognitive-affective symptom cluster model. Mean cognitive-affective symptom scores were higher for females with diabetes (coefficient = 0.23, CI: 0.10, 0.36, P = 0.001) than males with diabetes (coefficient = -0.05, CI: -0.16, 0.07, P = 0.434) when compared to the non-diabetic groups.

Conclusions: Diabetes was associated with higher cognitive-affective symptom scores in females than in males. Future studies should examine gender differences in causal pathways and how diabetic states interact with gender and influence symptom profiles.

Background: Suicide-related internet use (SRIU), defined as internet use related to one's own feelings of suicide, can be both a risk and protective factor, especially for isolated individuals. Despite its influence on suicidality, clinicians face challenges in assessing SRIU because of the private nature of internet usage. Current recommendations on enquiring about SRIU in a clinical setting concern mostly young people.

Aims: To address the gap in understanding SRIU among patients of all ages, this study aims to explore mental health clinicians' experiences, attitudes and beliefs regarding enquiring about SRIU, as well as the risks and benefits it presents in the assessment and management of patients. Finally, the study aims to establish the role SRIU potentially plays in the assessment and management of patients.

Method: Twelve clinicians practising at secondary mental health services in England participated in interviews. Thematic analyses were used for data interpretation.

Results: Clinicians who participated in interviews rarely initiate discussions on SRIU with their patients despite considering this an important factor in suicidality. Age of both patients and clinicians has the potential to influence enquiry into SRIU. Clinicians recognise the potential benefits of patients finding supportive online communities but also express concerns about harmful and low-quality online content related to suicide.

Conclusions: Integrating SRIU enquiry into standard clinical practice, regardless of the patient's age, is an important step towards comprehensive patient care. Broader training for clinicians on enquiring about online behaviours is essential to mitigate potential risks and harness the benefits of SRIU in mental health patients.

Background: The COVID-19 pandemic negatively affected students' mental health, increasing pre-existing psychosocial vulnerabilities. University students worldwide have presented differences in their mental health status; however, cross-country studies comparing students' mental health during the pandemic are lacking.

Aims: To investigate potential differences between university students from Brazil and those from Germany with respect to (a) depressive symptoms and alcohol and drug consumption, (b) social and emotional aspects (loneliness, self-efficacy, perceived stress, social support and resilience) and (c) attitudes towards vaccination.

Method: Two online cross-sectional studies were conducted with university students during the COVID-19 pandemic in Brazil (November 2021 to March 2022) and in Germany (April to May 2022). Depressive symptoms, alcohol consumption, loneliness, self-efficacy, perceived stress, social support, resilience, sociodemographic information and attitudes towards vaccination were assessed. Data were analysed using univariate and bivariate models.

Results: The total sample comprised N = 7911 university students, with n = 2437 from Brazil and n = 5474 from Germany. Brazilian students presented significantly more depressive symptoms and suicidal thoughts, higher levels of perceived stress, higher frequency of drug or substance consumption, and lower levels of perceived social support and resilience than German students, whereas German students presented higher levels of loneliness than Brazilian students. A more favourable opinion towards vaccinations in general was found among Brazilian students compared with German students.

Conclusions: In both countries, low-threshold (online) counselling targeting university students is needed. The differences between the samples could indicate country and/or cultural differences which justify further research in this area.

Background: Diagnosis of autism falls under the remit of psychiatry. Recognition that psychiatrists could be autistic is recent. Psychiatrists are the second largest specialty group in Autistic Doctors International, a peer support group for autistic doctors.

Aims: To explore the experiences of autistic psychiatrists in relation to recognising themselves and others as autistic.

Method: This was a qualitative study using loosely structured interviews and an interpretive phenomenological analysis.

Results: Eight autistic senior psychiatrists based in the UK participated. One had a childhood diagnosis, two had been diagnosed in adulthood and the remainder self-identified as autistic as adults. Recognition of autism followed diagnosis of their children or encounters with autistic patients. Barriers to self-recognition included lack of autism training, the deficit-based diagnostic criteria and stereotypical views of autism. Recognising that they were autistic led to the realisation that many colleagues were also likely to be autistic, particularly in neurodevelopmental psychiatry. All participants reported the ability to quickly recognise autistic patients and to develop a good rapport easily, once they were aware of their own autistic identity. Difficulties recognising patients as autistic occurred before self-recognition when they shared autistic characteristics and experiences. 'If we don't recognise ourselves as autistic how on earth can we diagnose patients accurately?'

Conclusions: Autistic psychiatrists face multiple barriers to recognising that they are autistic. Lack of self-recognition may impede diagnostic accuracy with autistic patients. Self-recognition and disclosure by autistic psychiatrists may be facilitated by reframing the traditional deficit-based view of autism towards a neurodiversity-affirmative approach, with consequent benefits for autistic patients.

Background: Central nervous system (CNS)-active polypharmacy is frequent and potentially harmful in older patients. Data on its burden outside the USA and European countries remain limited.

Aims: To estimate the period prevalence of and factors associated with out-of-hospital CNS-active polypharmacy in older adults.

Method: We used data from a cohort of out-patients aged ≥60 years affiliated to the Hospital Italiano de Buenos Aires' health maintenance organisation on 1 January 2021. A CNS-active polypharmacy event was defined as the concurrent exposure to ≥3 CNS-active medications (i.e. antidepressants, anti-epileptics, antipsychotics, benzodiazepines, Z-drugs and opioids) through filled out-of-hospital prescriptions. We calculated the period prevalence of CNS-active polypharmacy for 2021. We identified factors associated with CNS-active polypharmacy using a multivariable logistic regression model to estimate odds ratios and 95% confidence intervals (CI).

Results: We included 63 857 patients. Pre-existing mental health diagnoses included anxiety (21%), depressive (14%) and sleep (11%) disorders. CNS-active polypharmacy occurred in 4535 patients, for a period prevalence of 7.1% (95% CI: 6.9-7.3%). The combination of an antidepressant, an antipsychotic and a benzodiazepine accounted for 21% of the CNS-active polypharmacy events. Frontotemporal dementia (odds ratio: 14.67; 95% CI: 4.47-48.20), schizophrenia (odds ratio: 7.93; 95% CI: 4.64-13.56), bipolar disorder (odds ratio: 7.20; 95% CI: 5.45-9.50) and depressive disorder (odds ratio: 3.50; 95% CI: 3.26-3.75) were associated with CNS-active polypharmacy.

Conclusions: One in 14 adults aged 60 years and older presented out-of-hospital CNS-active polypharmacy. Future studies should evaluate measures to reduce CNS-active medication use in this population.

Background: Internationally, stresses related to the COVID-19 pandemic negatively affected the mental health of family caregivers of adults with intellectual and developmental disabilities (IDDs).

Aims: This cross-sectional study investigated demographic, situational and psychological variables associated with mental wellbeing among family caregivers of adults with IDDs during the COVID-19 pandemic.

Method: Baseline data from 202 family caregivers participating in virtual courses to support caregiver mental well-being were collected from October 2020 to June 2022 via online survey. Mental well-being was assessed using total scores from the Warwick-Edinburgh Mental Wellbeing Scale. Demographic, situational and psychological contributors to mental well-being were identified using hierarchical regression analysis.

Results: Variables associated with lower levels of mental well-being were gender (women); age (<60 years old); lack of vaccine availability; loss of programming for their family member; social isolation; and low confidence in their ability to prepare for healthcare, support their family member's mental health, manage burnout and navigate healthcare and social systems. Connection with other families, confidence in managing burnout and building resilience and confidence in working effectively across health and social systems were significant predictors of mental well-being in the final regression model, which predicted 55.6% of variance in mental well-being (P < 0.001).

Conclusions: Family caregivers need ways to foster social connections with other families, and support to properly utilise healthcare and social services during public health emergencies. Helping them attend to their needs as caregivers can promote their mental health and ultimately improve outcomes for their family members with disabilities.

Background: People with intellectual disability (PwID) and epilepsy have increased premature and potentially preventable mortality. This is related to a lack of equitable access to appropriate care. The Step Together guidance and toolkit, developed with patient, clinical, charity and commissioning stakeholders, allows evaluation and benchmarking of essential epilepsy service provision for PwID in eight key domains, at a care system level.

Aims: To evaluate care provisions for adult PwID and epilepsy at a system level in the 11 integrated care systems (ICSs) of the Midlands, the largest NHS England region (population: approximately 11 million), using the Step Together toolkit.

Method: Post training, each ICS undertook its benchmarking with the toolkit and submitted their scores to Epilepsy Action, a national UK epilepsy charity, who oversaw the process. The outcomes were analysed descriptively to provide results, individual and cumulative, at care domain and system levels.

Results: The toolkit was completed fully by nine of the 11 ICSs. Across all eight domains, overall score was 44.2% (mean 44.2%, median 43.3%, range 52.4%, interquartile range 23.8-76.2%). The domains of local planning (mean 31.1%, median 27.5%) and care planning (mean 31.4%, median 35.4%) scored the lowest, and sharing information scored the highest (mean 55.2%, median 62.5%). There was significant variability across each domain between the nine ICS. The user/carer participation domain had the widest variation across ICSs (0-100%).

Conclusions: The results demonstrate a significant variance in service provision for PwID and epilepsy across the nine ICSs. The toolkit identifies specific areas for improvement within each ICS and region.