Annals of General Psychiatry最新文献

Background: Caregivers of children with attention-deficit/hyperactivity disorder (ADHD) are vulnerable to increased psychological distress during COVID-19. However, specific pandemic- and child-related factors contributing to their poor mental health have not been fully investigated. We aimed to comprehensively examine prevalence and correlates of depression and anxiety among caregivers of ADHD children in Hong-Kong during the peak of fifth pandemic wave with territory-wide school closure.

Method: One-hundred-ninety-nine caregivers of ADHD children were assessed with self-rated questionnaires between 29 March-14 April, 2022. Questionnaires encompassed socio-demographics, pre-existing physical/psychiatric morbidity, COVID-19 related factors, children's ADHD and other psychiatric symptoms. Caregivers' psychological distress was quantified by Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale-7 (GAD-7). Caregivers who scored ≥ 10 in PHQ-9 and GAD-7 were classified as having probable depression and probable anxiety, respectively. Univariate and multivariate logistic regression analyses were conducted to identify correlates associated with caregivers' probable depression and anxiety status.

Results: Forty-four (22.4%) and 33 (16.9%) caregivers had probable depression and anxiety, respectively. Multivariate regression analyses revealed that caregivers' pre-existing mental disorder, greater COVID-19 stressor burden, and more severe emotional symptoms and insomnia of ADHD children were independently associated with both caregivers' depression and anxiety status.

Conclusion: A significant proportion of caregivers of ADHD children experienced clinically-significant depressive and anxiety symptoms during the peak of fifth pandemic wave and school closure. Findings suggest that optimizing management of caregivers' pre-existing mental health conditions, addressing emotional and sleep symptoms in ADHD children, and implementing strategies to alleviate pandemic-related stressors may reduce caregivers' psychological distress.

Background: The eyes serve as a portal to the brain and are highly connected neurologically, making them the only externally visible part of the brain. Moreover, the correlation between the physical attributes of the eye and psychiatric disorders has been increasingly established in recent years. Therefore, this study examined the association between iris color density and bipolar I disorder (BD).

Methods: In a case-control study, 48 subjects diagnosed with BD are compared to an equal number of healthy controls. A semi-structured interview questionnaire is designed to collect sociodemographic, psychiatric, medical history, and clinical data from all participants. The Group with BD is diagnosed based on clinical assessment by the Consultant/specialist by using a semi-structured clinical interview for DSM 5 Clinician Version (SCID-5-CV) to diagnose BD's current episode and to exclude the other comorbid mental disorders. Additionally, the group with BD is further assessed by The Young Mania Rating Scale (YMRS) and Hamilton Depression Rating Scale (HDRS) to evaluate the severity of manic and depressive symptoms. The iris color of participants in both groups was evaluated using a standardized photographic system for iris imaging.

Results: It showed a statistically significant increase in the percentage of the colored iris in the patients' group compared with the control group, and the presence of a colored iris significantly increases the risk of BD by 2.36 folds. There is no statistically significant difference between iris color and either hospitalization, suicide, Electroconvulsive Therapy (ECT), family history, medical history, duration, or frequency of episodes.

Conclusion: Our findings revealed a strong association between iris color and bipolar disorder (BD) but no significant association between iris color and clinical factors such as hospitalization, suicide, electroconvulsive therapy (ECT), family history, medical history, or the duration and frequency of episodes. These results suggest that iris color may serve as a trait marker rather than a state marker in BD, potentially offering a simple and non-invasive indicator of bipolarity.

Introduction: Borderline Personality Disorder (BPD) is a complex neuropsychiatric condition characterized by four main symptom domains: emotion dysregulation, behavioral dysregulation, self-image disturbances, and interpersonal instability. While psychotherapy remains the primary treatment, there is a need for additional effective interventions. Given the neuromodulatory effects of non-invasive brain stimulation (NIBS) techniques, such as transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS), these methods may hold potential for addressing BPD symptoms.

Methods: A systematic review and network meta-analysis were conducted following PRISMA guidelines. A literature search (PubMed, Scopus, Web of Science, Cochrane CENTRAL) identified comparative studies assessing the effects of NIBS in BPD. The primary outcome was impulsivity, measured by the Barratt Impulsivity Scale (BIS-11). Secondary outcomes included Depressive symptoms, which were evaluated using different scales such as the Hamilton Depression Rating Scale (HAMD) and the Beck depression Inventory (BDI) scale, and anxiety symptoms were evaluated using the Hamilton Anxiety Rating Scale (HAMA).

Results: Five studies with a total of 103 patients were included. Regarding impulsivity, tDCS 2 mA showed a significant reduction compared to the control group (MD = -11.67, 95% CI [-21.44, -1.90]). For depressive symptoms, TMS 20 Hz ranked highest (SMD = -1.97, 95% CI [-3.51, -0.43]), followed by tDCS 2 mA (SMD = -1.65, 95% CI [-2.97, -0.34]). In terms of anxiety, both TMS 5 Hz (MD = -12.29, 95% CI [-24.57, -0.01]) and tDCS 2 mA (MD = -11.81, 95% CI [-17.39, -6.23]) showed significant differences.

Conclusion: Preliminary evidence suggests potential efficacy of non-invasive brain stimulation for BPD, with well-tolerated side effects with well-tolerated side effects. Although there are noticeable statistically significant differences between the interventions and control groups, the results are inconclusive due to the small sample.

Background: Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder. Despite its significance, no large-scale epidemiological study assessing ADHD, and its associated comorbidities in children and adolescents has been conducted in China.

Methods: Within a national epidemiological survey of 73,992 children and adolescents aged between 6 and 16 in China, we used the CBCL, MINI-KID, and DSM-IV to identify ADHD and its comorbid conditions. Chi-square tests were utilized to compare the prevalence estimates across varied age and sex groups.

Results: The overall ADHD prevalence was estimated at 6.4% (95% CI: 6.2-7.0%). Broken down by subtypes, ADHD-I had a prevalence of 3.9%, ADHD-C was at 1.7%, and ADHD-H was at 0.9%. Boys and the younger age bracket recorded higher prevalence rates for ADHD and its subtypes (p < 0.001). Among ADHD-diagnosed individuals, 53% exhibited at least one comorbid psychiatric disorder. Oppositional defiant disorder/conduct disorder (ODD/CD) was the most prevalent comorbidity for ADHD-C and ADHD-H, at 58%, while anxiety disorders, at 17%, were predominant among ADHD-I cases. ODD/CD was notably higher among younger subjects (p < 0.001). In contrast, anxiety disorders were more frequent in older children and in girls (p < 0.001). Tic disorders showed a higher prevalence in younger boys, whereas mood and substance use disorders were more common in older boys (p < 0.001).

Conclusions: ADHD is a common neurodevelopmental disorder with high comorbidity rates that vary substantially across subtypes, age, and sex. These clinical heterogeneities complicate management and highlight the need for tailored interventions.

Background: Late-life depression (LLD) stands as a prevalent mental health issue among older adults, frequently intertwined with cardiovascular and cerebrovascular diseases as well as cognitive decline. The occurrence of LLD in the older adults, who often present with multiple aging-related conditions, frequently results in this disorder being overlooked. However, the astronomical treatment costs and the considerable societal burden associated with LLD necessitate urgent and sustained attention.

Materials and methods: Utilizing data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 (GBD 2021), we extracted incidence rates and disability-adjusted life years (DALYs) of LLD in individuals aged 60 and older. The extracted data underwent rigorous evaluation through the application of age-period-cohort models, the health inequality concentration index, and frontier analysis.

Results: From 1990 to 2021, a global increase was observed in both the age-standardized incidence rate (ASIR) and DALY rate of LLD. Specifically, the ASIR ascended by 0.01 per 100,000 annually, while the DALY rate rose by 0.03 per 100,000 each year. Notably, a statistically significant inverse relationship was identified between ASIR and the Socio-demographic Index (SDI) (p < 0.001). Additionally, a notable linear correlation was discerned between age-standardized death rate (ASDR) and SDI, albeit without a discernible downward trend (p < 0.001). According to the SDI, the Estimated average percentage change (EAPC) of five SDI districts showed no increase or decrease. Globally, the incidence of LLD showed an upward trend in the high SDI, middle SDI, and low-middle SDI regions, a downward trend in the high-middle SDI region, and no significant increase or decrease in the low SDI region. In the age-period-cohort analysis, we found that the incidence of LLD increased with age in high and middle SDI regions compared with low SDI regions, and the results were the opposite in low SDI regions, with significant regional characteristics. The period effect analysis revealed that irrespective of gender, the trends in incidence and DALY rates remained relatively unchanged globally from 1992 to 2021. As SDI levels rose, the SDI-adjusted disparities in incidence and DALY rates tended to stabilize. A comparative analysis of data from 1990 to 2021 highlighted a relative decline in health inequalities.

Conclusion: This comprehensive assessment of the disease burden of LLD among the global population aged 60 and older underscores significant accomplishments while simultaneously emphasizing areas requiring ongoing vigilance. In the context of relentless population growth and aging, the favorable downturns in incidence and DALY rates reflect tangible advancements in managing LLD.

Schizophrenia is a complex, heterogeneous, and highly disabling severe mental disorder whose pathogenesis has not yet been fully elucidated. Epigenetics, as a bridge between genetic and environmental factors, plays an important role in the pathophysiology of schizophrenia. Over the past decade, epigenetic-wide association studies have rapidly become an important branch of psychiatric research, especially in deciphering the molecular mechanisms of schizophrenia. This review systematically analyzes recent advances in epigenome-wide association studies (EWAS) of schizophrenia, focusing on technological developments. We synthesize findings from large-scale EWAS alongside emerging evidence on DNA methylation patterns, histone modifications, and regulatory networks, emphasizing their roles in disease mechanisms and treatment responses. In addition, this review provides a prospective outlook, evaluating the impact that technological developments may have on future studies of schizophrenia. With the continuous advancement of high-throughput sequencing technology and the increasing maturity of big data analysis methods, epigenetics is expected to have a significant impact on the early diagnosis, prognosis assessment and even personalized treatment of schizophrenia.

Background: Genetic susceptibility to mental health and cognitive traits, as well as air pollution, significantly impact cognition. The interplay between polygenic liability and fine particulate matter (PM_2.5) remains unclear due to the limited number of large-scale studies in Asia. This study utilized the Taiwan Biobank, a nationwide community-based database, to investigate the main and modified effect of PM_2.5 on individuals' polygenic susceptibility in cognition.

Methods: Polygenic risk score (PRS) for cognitive performance (CP PRS), Alzheimer's disease (AD PRS), schizophrenia (SCZ PRS), and major depression (MDD PRS) were computed representing genetic susceptibility for an individual. APOE genotype was classified into E3/E3, E3/E4, and E4/E4. The five-year average concentration of PM_2.5 from satellite images was used for defining environmental exposure. Cognitive performance was evaluated via the Mini-Mental State Examination (MMSE) score. The association between personal genetic susceptibility, PM_2.5, and cognitive performance was examined using multilevel linear regression with the adjustment of age, sex, batch effect, and population stratification effect. The gene-environment synergism was examined with the inclusion of product term of PM_2.5 and PRS in the multivariate model.

Results: Our analyses included 25,593 participants from 164 townships. Participants exposed to higher PM_2.5 concentrations had a lower MMSE score (Beta=-0.0830 corresponding to a 1 µg/m³ increase in PM_2.5 concentration, 95% CI, -0.0973 to -0.0688, p-value < 0.0001). After controlling for PM_2.5 concentration, CP PRS (Beta = 0.1729, 95% CI, 0.1470 to 0.1988, p-value < 0.0001), SCZ PRS (Beta=-0.0632, 95% CI, -0.0891 to -0.0374, p-value < 0.0001), and AD PRS (Beta=-0.0321, 95% CI, -0.0580 to -0.0062, p-value = 0.0153) were associated with MMSE score. After further examination of gene-environment synergism, no interaction effect was identified, indicating different mechanism of PM_2.5 and genetic liability to influence cognitive performance.

Conclusions: Human polygenic loading and PM_2.5 may impact cognition via an independent pathway. A prevention strategy targeting air pollution reduction may effectively improve the cognitive performance. Multiple exposures and their influences on the long-term change of cognition were required in future research.

Background: The predominant polarity in bipolar disorder (BD) is defined by the skewness of mood episodes towards either the manic or depressive pole. However, since the predominant polarity can only be established over the long term, it is crucial to identify predictors of illness trajectory. Among these factors, the polarity at onset has been suggested to hold important implications, even though research in this field is not entirely consistent so far. In this retrospective study, we thus explored whether the polarity of the first episode can predict the predominant polarity in BD.

Methods: We included subjects with BD consecutively referred to two acute inpatient units in the Milan metropolitan area from May 2020 to January 2024. Following Barcelona criteria, a manic (mPP) and a depressive (dPP) predominant polarity were defined as having a ratio ≥ 2:1 of past manic/hypomanic or depressive episodes, respectively. The relationship between first episode polarity and either mPP or dPP was examined using multivariable logistic regression models. A path analysis was then performed to jointly test the associations between putative variables and the predominant polarity.

Results: This study included 128 participants. Regression models estimated an association between a manic onset and a mPP (β = 3.23, p < 0.001) as well as between a depressive onset and a dPP (β = 3.65, p < 0.001). Participants with a mPP showed a lower age at onset (β = - 0.13, p = 0.004), while subjects diagnosed with BD type I were less likely to show a dPP (β = - 2.09, p = 0.024). The path analysis highlighted an association between earlier onset and the likelihood of a first episode of manic polarity (coeff. = - 1.39, p = 0.021). A manic onset was associated with a higher likelihood of mPP (coeff. = 3.46, p < 0.001) and a lower likelihood of dPP (coeff. = - 3.71, p < 0.001). Consistently, participants with a manic onset were more likely to experience a lower number of depressive episodes (coeff. = - 1.36, p < 0.001). Finally, cannabis use disorder was associated with a lower number of depressive episodes (coeff. = - 0.57, p = 0.011).

Conclusions: These results provide important insights into the likely predictive value of first episode polarity in relation to the predominant polarity in BD. Though future studies validating these findings are needed, the polarity at onset may serve as an early marker for illness trajectory.

Background: Depression occurring during the perinatal period (PND) could affect both future mother and father. PND may lead to several adverse physical and mental health outcomes for the whole family. Several psychopathological determinants have been identified, even though few studies investigated the role of paternal mental health in the onset of maternal perinatal depression (MPND). Hence, a retrospective cohort study was carried out in order to investigate the relationship between paternal mental health and the occurrence of antenatal maternal depression as well as identifying potential sociodemographic, clinical and obstetrical predictors in the development of MPND.

Methods: All pregnant women afferent to the Perinatal Mental Health Outpatient Service of the Unit of Clinical Psychiatry at the University Hospital of Marche, Polytechnic University of Marche, Ancona, Italy, between April 2021 to February 2022, were consecutively recruited and longitudinally screened for antenatal depression. The sample was divided in two groups, based on the screening by using the Edinburgh Postpartum Depression Scale (EPDS) for PND. A stepwise binary logistic regression analysis was performed in order to evaluate the predictors associated with the presence of antenatal depression (vs. the absence of antenatal depression).

Results: A total of 106 participants among all 460 screened from April 2021 to February 2022, were retrospectively included. In our sample, a prevalence of 13.2% in antenatal depression was found. The binary logistic regression model showed that the higher maternal age (OR = 1.320; p = 0.005), gestational comorbidity (OR = 10.931; p = 0.010), pregnant women's (OR = 19.001; p = 0,001) and their partner's positive history (OR = 16.536; p = 0.004) for mental disorder significantly predicted the presence of antenatal depression in our sample.

Conclusions: Our study suggests the need to investigate the pre-existing psychopathology of the pregnant woman's partner as a potential risk factor for MPND, particularly for antenatal depression. Overall, a better understanding and investigation of all potential risk and/or protective factors for the onset and/or maintenance and/or worsening of MPND could help clinicians in early identifying treatment strategies to improve maternal mental health as well as future father's mental health.

Background: Anxiety disorders (ADs) are common among children and adolescents and frequently co-occur with specific learning disorder (SLD). Approximately 20% of children with SLD meet criteria for ADs, while those with anxiety are six times more likely to have a premorbid SLD. The strong relationship between premorbid SLD and ADs underscores the importance of examining developmental trajectories and manifestations of neuropsychiatric conditions like ADs, particularly when SLD is present. In this context, this study investigates the clinical profiles of children and adolescents with a first diagnosis of an AD and a history of SLD compared to those with a first diagnosis of an AD without a history of SLD. The analysis focuses on various clinical characteristics, including developmental history, demographic aspects, age of anxiety onset, global functioning, types of ADs, self-report anxiety and depressive symptoms, and adaptive behavior. Additionally, the study aims to explore the relationship between anxiety symptoms and depressive symptoms, adaptive behavior, and age.

Methods: We conducted a cross-sectional, retrospective study with 78 participants from the Child and Adolescent Neuropsychiatry Unit, divided into two groups: those with ADs alone (Group AD, n = 42) and those with both ADs and premorbid SLD (Group AD + SLD, n = 36). We collected data on developmental history, demographic information, age of anxiety onset, global functioning, anxiety and depressive symptoms, and adaptive behavior.

Results: Our findings revealed that Group AD experienced more stressful life events and had higher cognitive levels, whereas Group AD + SLD showed a greater impairment in global functioning. Notably, Group AD exhibited lower social adaptive behavior and higher self-reported anxiety and depressive symptoms than Group AD + SLD, possibly indicating a greater awareness of their emotional distress.

Conclusions: These findings highlight the impact of premorbid neurodevelopmental disorders into clinical manifestations of psychopathological symptoms. In particular, results underline the importance of developing tailored clinical interventions for children with co-occurring ADs and learning difficulties, focusing more on their emotional awareness to better address the unique challenges posed by the comorbidity.