Search

Background: Depressive symptoms, which are continuously changing, are an essential manifestation of depression and can increase the risk of mental disorders and other diseases. Because the causes and cures for depression have not yet been identified, finding the characteristics, and risk factors of depressive symptom trajectories can help us identify at-risk populations early and reduce the related public disease burden. Aims: Herein we aimed to figure out the specific manifestations of depressive symptom trajectories among Chinese adults, explore the risk profiles of trajectory groups with higher depression burdens, and test the longitudinal associations between blood biomarkers with depressive symptoms. Methods: Trajectories of participants' depressive symptoms measured by the Center for Epidemiologic Studies Depression scores were modeled with growth mixture models from 2011 to 2018. Multinomial logistic models tested associations of baseline covariates with trajectories. Generalized estimating equations were used to explore the longitudinal associations between blood data and depressive symptoms in two waves from 2011 to 2015. Results: Among the sample of 5,641 individuals aged 40 or over, four heterogeneous depressive symptom trajectories were defined: stable-low, high-decrease, stable-high, and low-increase. At baseline, demographic factors and health statuses such as gender, education, income, and self-reported health status were associated with trajectories. A significant association was found between high-density lipoprotein and depressive symptoms. Conclusions: These findings provide clues for predicting and identifying adults with elevated depression burdens in middle and late life and may facilitate the development of targeted preventive strategies for this population. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder characterized by abnormalities in structure and function of the brain. However, how ASD affects the relationship between fiber-bundle microstructures and functional connectivity (FC) remains unclear. Here, we analyzed structural and functional images of 26 high-functioning adult males with ASD, alongside 26 age-, gender-, and full-scale IQ-matched typically developing controls (TDCs) from the BNI dataset in the ABIDE database. We utilized fixel-based analysis to extract microstructural information from fiber tracts, which was then used to predict FC using a multilinear model. Our results revealed that the structure–function relationships in both ASD and TDC cohorts were strongly aligned in the primary cortex but decoupled in the high-order cortex, and the ASD patients exhibited reduced structure–function relationships throughout the cortex compared to the TDCs. Furthermore, we observed that the disrupted relationships in ASD were primarily driven by alterations in FC rather than fiber-bundle microstructures. The structure–function relationships in the left superior parietal cortex, right precentral and inferior temporal cortices, and bilateral insula could predict individual differences in clinical symptoms of ASD patients. These findings underscore the significance of altered relationships between fiber-bundle microstructures and FC in the etiology of ASD. [ABSTRACT FROM AUTHOR]

Background: The mechanism by which antidepressants normalizing aberrant resting-state functional connectivity (rsFC) in patients with major depressive disorder (MDD) is still a matter of debate. The current study aimed to investigate aberrant rsFC and whether antidepressants would restore the aberrant rsFC in patients with MDD. Methods: A total of 196 patients with MDD and 143 healthy controls (HCs) received the resting-state functional magnetic resonance imaging and clinical assessments at baseline. Patients with MDD received antidepressant treatment after baseline assessment and were re-scanned at the 6-month follow-up. Network-based statistics were employed to identify aberrant rsFC and rsFC changes in patients with MDD and to compare the rsFC differences between remitters and non-remitters. Results: We identified a significantly decreased sub-network and a significantly increased sub-network in MDD at baseline. Approximately half of the aberrant rsFC remained significantly different from HCs after 6-month treatment. Significant overlaps were found between baseline reduced sub-network and follow-up increased sub-network, and between baseline increased sub-network and follow-up decreased sub-network. Besides, rsFC at baseline and rsFC changes between baseline and follow-up in remitters were not different from non-remitters. Conclusions: Most aberrant rsFC in patients with MDD showed state-independence. Although antidepressants may modulate aberrant rsFC, they may not specifically target these aberrations to achieve therapeutic effects, with only a few having been directly linked to treatment efficacy. [ABSTRACT FROM AUTHOR]

Background: Studies have shown a strong association between childhood maltreatment (CM) and major depressive disorder (MDD). Dysfunctional attitudes (DAs) play a crucial role in the development of MDD. In this study, we aimed to investigate whether (1) DAs are associated with CM, (2) specific CM types predict specific types of DAs, and (3) higher childhood trauma counts (CTCs) predict more DAs. Methods: One hundred seventy-one MDD participants and 156 healthy controls (HCs) were enrolled for the study. CM was assessed retrospectively with the Childhood Trauma Questionnaire. DAs were evaluated using the Chinese version of the Dysfunctional Attitude Scale–Form A (C-DAS-A). A series of analyses, including multiple analyses of covariance and hierarchical regression analyses, were used in this study to examine the hypotheses. Results: The proportion of CM was 60.2% in the MDD group and 44.2% in the HC group. The 2 × 2 analysis of covariance results showed no interaction effect between CM and MDD on C-DAS-A total score. When the factor scores replaced the C-DAS-A total score, a similar trend was observed. Within the MDD group, emotional abuse (EA) predicted two forms of DAs: self-determination type and overall DAs; physical neglect (PN) was predictive of attraction and repulsion-type DAs. Higher childhood trauma counts significantly predicted more types of DAs in the MDD group. Conclusion: DAs are a trait feature of CM. EA and PN predict specific types of DAs in MDD patients. Higher CTCs predict more DAs in MDD patients. [ABSTRACT FROM AUTHOR]

Background: Persistent neurocognitive deficits are often associated with poor outcomes of major depressive disorder (MDD). Executive dysfunction is the most common cognitive deficit in MDD. However, it remains unclear which subcomponent of executive dysfunction is state-independent with distinct neural substrates.Methods: A comprehensive neurocognitive test battery was used to assess four subcomponents of executive function (working memory, inhibition, shifting, and verbal fluency) in 95 MDD patients and 111 matched healthy controls (HCs). After 6 months of paroxetine treatment, 56 patients achieved clinical remission (rMDD) and completed the second-time neurocognitive test. Network-based statistics analysis was utilized to explore the changes in functional connectivity (FC).Results: Compared with the HCs, all the four subcomponents of MDD patients were significantly impaired. After treatment, there was a significant improvement in working memory, inhibition, and verbal fluency in the rMDD group. And shifting and verbal fluency of the rMDD group remained impaired compared with the HCs. Fifteen functional connections were interrupted in the MDD group, and 11 connections remained in a disrupted state after treatment. Importantly, verbal fluency was negatively correlated with the disrupted FC between the right dorsal prefrontal cortex and the left inferior parietal lobule in patients with MDD and remitted MDD.Limitations: The correlation analysis of the association between cognitive impairment and connectivity alterations precluded us from making causal inferences.Conclusions: Verbal fluency is the potential state-independent cognitive deficit with distinct neural basis in patients with MDD. [ABSTRACT FROM AUTHOR]

Objective: Little is known about the factors affecting the recovery of mental health in COVID-19 patients. The purpose of this study is to look into the change of psychological distress and to explore the role of negative appraisals in the improvement of psychological distress in COVID-19 patients after they recovered from the infection. Methods: We conducted a longitudinal survey on patients with COVID-19 infection in Changsha. The 9-item Patient Health scale, the 7-item Generalized Anxiety Disorder scale, and a newly developed measure, the COVID-19 Impact Scale (CIS) were applied to assess patients' depression, anxiety, and negative appraisal toward COVID-19 infection during their hospitalization and 1 month post-discharge. Results: Seventy-two patients were included in the analysis. A significant decrease in anxiety and depression levels was observed after patients were discharged from hospital. Two meaningful factors of the CIS were extracted based on factor analysis, namely "health impact," and "social impact." The change of social impact explained the 12.7 and 10.5% variance in the depression and anxiety symptom improvement, respectively. Conclusions: Change in negative appraisals, especially the appraisals related to COVID-19 social impact may play a vital role in the relief of psychological distress of infected patients. Therefore, a cognitive and social care perspective might be considered when promoting the mental health recovery and readjustment to society among COVID-19 patients. [ABSTRACT FROM AUTHOR]

Background: Cognitive deficits have shown progressive feature in major depressive disorder (MDD). However, it remains unknown which component of cognitive function is progressively impaired across episodes of MDD. Here we aim to identify the progressively impaired cognitive components in patients with MDD. Methods: A comprehensive neurocognitive test battery was used to assess the cognitive components (executive function, attention, processing speed, memory, working memory, inhibition, shifting, and verbal fluency) in 35 patients with first-episode MDD (FED), 60 patients with recurrent MDD (RD) and 111 matched healthy controls (HCs). After 6 months of treatment with antidepressant, 20 FED and 36 RD patients achieved clinical remission and completed their second-time neurocognitive tests. Statistical analyses were conducted to identify the impaired cognitive components in the FED and RD groups before and after treatment, and to assess the relationship between the cognitive components and the number of episodes and total illness duration in the MDD patient group. Results: At baseline, both the FED and RD groups showed impairments in all of the cognitive components; the FED and RD groups showed no significant difference in all of the components except for shifting. After remission, only shifting in the RD group showed no significant improvement and remained in an impaired status. Furthermore, shifting was the only component negatively correlated with the number of episodes as well as the total illness duration. Conclusions: Shifting may serve as the progressive cognitive deficit across episodes of MDD. Clinical Trials Registration: Registry name: HPA function and MRI study of trauma-related depression; Registration number: ChiCTR1800014591; URL: http://www.chictr.org.cn/edit.aspx?pid=24669&htm=4. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease 2019 (COVID-19) can place an immense psychological strain on the infected patient. The psychological distress can linger after the initial recovery from the infection. Objective: This study aimed to evaluate the prevalence and predictors of provisional post-traumatic stress disorder (PTSD) in patients with cured COVID-2019. Methods: The baseline survey was conducted from 10 to 25 February 2020 in patients with COVID-19 in a designated hospital. Demographic and clinical characteristics were acquired, and depression and anxiety levels were assessed, using the 9-item Patient Health Questionnaire and 7-item Generalized Anxiety Disorder scale, respectively. A follow-up survey was conducted 1 month post-discharge. PTSD symptoms were measured by the Impact of Event Scale-6 (IES-6) and patients' perception of supportive care during hospitalization was investigated using a self-developed questionnaire. Results: In total, 114 patients completed both the baseline and follow-up surveys. Of these, 41 (36.0%) met the cut-off score for provisional PTSD diagnosis according to the IES-6. Female gender [odds ratio (OR) = 4.69, 95% confidence interval (CI) 1.54–14.37], educational level of high school or below (OR = 15.49, 95% CI 1.13–212.71), higher anxiety levels (OR = 1.34, 95% CI 1.12–1.61) and lower perceptions of emotional support during hospitalization (OR = 0.41, 95% CI 0.17–0.96) predicted a higher risk for provisional PTSD. Conclusions: PTSD is commonly seen in patients with COVID-19 1 month post-discharge. Female patients, and patients with lower educational levels, higher anxiety levels and lower perceptions of emotional support during hospitalization may be more likely to develop PTSD in the near future. Enhancing emotional support during hospitalization could help to prevent PTSD in patients with COVID-19. More than one-third ofpatients met the diagnostic criteria of probable PTSD 1 month post-discharge. Providing timely emotional support during hospitaliza-tion may be one of the key measures for preventing PTSD in patients with COVID-19. [ABSTRACT FROM AUTHOR]

Background: Studies have shown that patients with major depressive disorder (MDD) exhibit elevated dysfunctional attitudes (DAs). However, it remains controversial whether the DAs are state-dependent or trait-like features of MDD. Methods: This study recruited 172 patients and 159 healthy controls (HCs) at baseline. DAs were respectively assessed by the 24-item Hamilton Depression Rating Scale (HAMD24) and the Chinese version of Dysfunctional Attitude Scale form A (C-DAS-A). After baseline, patients received a 6-month antidepressant treatment. General linear models were used to analyze the differences in the C-DAS-A total and factor scores between the acute and remitted MDD groups and the HC group. Paired t tests were used to assess the changes of C-DAS-A total and factor scores in the remitted MDD group before and after treatment. Results: At baseline, patients with MDD showed significantly higher scores in C-DAS-A and its subscales than HCs (all P < 0.05). After treatment, the C-DAS-A total and factor scores decreased significantly in the remitted MDD group (all P < 0.05). However, the C-DAS-A total (P = 0.005) and five factors' scores (vulnerability, attraction and repulsion, perfectionism, compulsion, and dependence) remained elevated in the remitted MDD group as compared with HCs (all P < 0.05). There were moderate correlations between the baseline and remission phase C-DAS-A total and five factors' scores (all P < 0.05). Conclusion: DAs show a mixture of state-dependent and trait-like characteristics in MDD with partial improvement in the remission phase. Special attention should be paid to the residual DAs in the remitted MDD for the prevention of relapse. [ABSTRACT FROM AUTHOR]

Background: Dysfunctional attitudes play a key role in the development and prognosis of depression. Gender also plays an important role in many clinical features of major depressive disorder (MDD). This study is aimed at investigating the gender differences in dysfunctional attitudes in patients with MDD. Methods: One hundred and seventy-two patients with MDD and 159 healthy controls (HCs) were enrolled in this study. Dysfunctional attitudes were assessed by the Chinese version of the dysfunctional attitude scale—form A (C-DAS-A) and depression severity was assessed by the 24-item Hamilton rating scale for depression (HAMD24). The 14-item Hamilton Anxiety Rating Scale (HAMA14) was used to measure anxiety. Factorial analysis of variance (ANOVA) of gender and diagnosis on C-DAS-A total and factor scores was adopted with age, education, and body mass index (BMI) controlled. Multiple linear regression analyses of DAS were performed in the MDD group. Results: First, the C-DAS-A score in the MDD group was increased significantly than HCs. Second, female patients with MDD showed significantly higher scores in C-DAS-A total and three-factor scores (seeking applause, dependence, and self-determination attitude), while no significant difference between female HCs and male HCs was detected. Third, five variables (age, gender, smoking history, HAMD24, and HAMA14) had predictive effects on and gender showed the greatest contributions to C-DAS-A total and three-factor scores (seeking applause, dependence, and self-determination attitude). Conclusion: Females with MDD may be linked to more severe cognitive distortion than their male counterparts in seeking applause, dependence, and self-determination attitude, supporting the reasonableness for gender-specific psychosocial interventions. [ABSTRACT FROM AUTHOR]

Background: Major depressive disorder (MDD) is associated with a wide range of cognitive deficits. However, it remains unclear whether there will be a major cognitive deficit independently caused by depression at acute episodes of MDD. Method: A comprehensive neurocognitive test battery was used to assess the executive function, processing speed, attention, and memory in 162 MDD patients and 142 healthy controls (HCs). A multivariate analysis of variance, hierarchical regression analyses and general linear regression analyses were used to explore the possible major cognitive deficits and their predictor variables. Results: MDD patients showed extensive impairment in all four cognitive domains. Impairment of executive function and processing speed were found to persist even with other cognitive domains and clinical variables being accounted for. Executive function and processing speed were further predicted by total disease duration and depression severity, respectively. Conclusions: Executive function and processing speed may be two distinct major deficits at acute episodes of MDD. Furthermore, the executive function is likely originated from the cumulative effect of disease duration and processing speed is possibly derived from the temporary effect of current depressive episode. [ABSTRACT FROM AUTHOR]

Background: The concept "psychobiotics" claims potential beneficial effect of probiotics on anxiety, whereas findings from clinical trials are inconsistent. Thus, a meta-analysis is needed to clarify the effect of probiotics on anxiety.Methods: Randomized controlled trials (RCTs) assessing the effect of probiotics on anxiety were systematically retrieved from online databases and manually screened for references of relevant published literature through September 1, 2017. Standardized mean difference in change from baseline of anxiety rating scales between probiotics groups and placebo groups was selected as the main effect index. Subgroup analyses were conducted with respect to overall health status of the sample, existence of gastrointestinal symptoms, strains of flora, trial duration, and risk of bias assessment. Publication bias was evaluated by funnel plot and Egger's test. The reliability of the result was assessed by leave-one-out sensitivity analysis.Results: Twelve studies with 1,551 subjects (871 in probiotics group and 680 in control group) were included. All the studies were rated as low or moderate risk of bias. The meta-analysis and subgroup analyses all showed no significant difference between probiotics and placebo in alleviating anxiety symptoms. The Egger's test revealed no evidence of significant publication bias. Sensitivity analysis showed that leaving out one study would result in marginal significance.Conclusions: The evidence for the efficacy of probiotics in alleviating anxiety, as presented in currently published RCTs, is insufficient. More reliable evidence from clinical trials is needed before a case can be made for promoting the use of probiotics for alleviating anxiety. [ABSTRACT FROM AUTHOR]

Cognitive impairments (CI) are prevalent and persistent in patients with major depressive disorder (MDD). There is a lack of longitudinal studies exploring the changes of the percentage of CI among MDD patients before and after a long-term antidepressant treatment and the risk factors that predict the residual CI. A neurocognitive battery was performed to assess four domains of cognitive function, including executive function, processing speed, attention, and memory. CI was set as cognitive performance scoring 1.5 SDs lower than the mean scores of healthy controls (HCs). Logistic regression models were conducted to examine the risk factors for the after-treatment residual CI. Over 50 % of patients showed at least one kind of CI. After the antidepressant treatment, the overall cognitive performance among remitted MDD patients was identical to HCs, however, there were still 24 % of the remitted MDD patients had at least one type of CI, especially in executive function and attention. Additionally, the percentage of CI among non-remitted MDD patients was still significantly different from HCs. Our regression analysis further identified that except for the non-remission of MDD, CI at baseline could also predict the residual CI in MDD patients. A relatively high drop-out rate at follow-ups. Cognitive impairment in executive function and attention is persistent even in remitted patients with MDD, and baseline cognitive performance can predict the post-treatment cognitive performance. Our findings emphasize the integral role of early cognitive intervention in MDD treatment. • The first longitudinal follow-up study on the percentage of cognitive impairment (CI) in patients with MDD. • 24 % of the patients with remitted MDD had at least one type of CI, especially in the executive function and attention. • Non-remission of MDD is a key predictor for the residual CI in the domain of processing speed. • Among the remitted patients, baseline CI at the acute-onset episode can predict the post-treatment residual CI. [ABSTRACT FROM AUTHOR]

Background: The co-occurrence of depression and anxiety among adolescents is typically associated with suicide ideation., Aims: The study aimed to investigate the symptom-level relationship between suicide ideation and the comorbidity of depression and anxiety., Methods: 1501 adolescents aged 12-19 years were assessed using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale, and 716 adolescents who scored ≥5 on both scales were selected as participants. Network analysis was used to identify the network structure of depressive symptoms and anxiety symptoms. Participants were categorised into either the suicide ideation or non-suicide ideation groups based on their scoring on the suicide-related item in PHQ-9. A comparison was made between the depression-anxiety symptom networks of the two groups., Results: 'Restlessness', 'sad mood' and 'trouble relaxing' were the most prominent central symptoms in the depression-anxiety symptom network, and 'restlessness', 'nervousness' and 'reduced movement' were the bridge symptoms in this network. 'Sad mood' was found to be directly related to 'suicide ideation' with the highest variance. The network structure was significantly different in properties between the suicide ideation group and the non-suicide ideation group, with 'restlessness' and 'sad mood' exhibiting significantly higher influence in the network of the suicide ideation group than that in the non-suicide ideation group., Conclusion: Restlessness and sad mood could be targeted for the intervention of depression-anxiety symptoms among adolescents with suicide ideation., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

The gut microbiota is a complex and dynamic ecosystem known as the 'second brain'. Composing the microbiota-gut-brain axis, the gut microbiota and its metabolites regulate the central nervous system through neural, endocrine and immune pathways to ensure the normal functioning of the organism, tuning individuals' health and disease status. Short-chain fatty acids (SCFAs), the main bioactive metabolites of the gut microbiota, are involved in several neuropsychiatric disorders, including depression. SCFAs have essential effects on each component of the microbiota-gut-brain axis in depression. In the present review, the roles of major SCFAs (acetate, propionate and butyrate) in the pathophysiology of depression are summarised with respect to chronic cerebral hypoperfusion, neuroinflammation, host epigenome and neuroendocrine alterations. Concluding remarks on the biological mechanisms related to gut microbiota will hopefully address the clinical value of microbiota-related treatments for depression., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: At present, the doctor-patient relationship is tense. The prevalence of negative emotions, such as depression and anxiety, among healthcare workers is increasing every year. Negative attitudes of medical workers toward mental problems may aggravate the doctor-patient conflict and psychological problems of medical workers. This study aims to explore the complex network relationships between outpatient medical workers' attitudes toward mental problems, doctor-patient relationships, and their depression/anxiety levels., Methods: A total of 578 outpatient medical staff from the Second Xiangya Hospital of Central South University (167 males, 411 females) completed questionnaires on their attitudes toward mental problems, doctor-patient relationships, and depression/anxiety symptoms. Network analysis was conducted separately to construct the "attitude towards mental problems-doctor-patient relationship network" and "depression-anxiety related network"., Results: The edge between "M15 (insulting words)" and "D8 (waste time)" showed the strongest strength in the "attitude towards mental problems-doctor-patient relationship network", and "M15 (insulting words)" had the highest bridge strength in the network. For the analysis of emotional variables, "P1 (anhedonia)" showed the most obvious association with "D10 (communication difficulties)" in the doctor-patient relationship and "M2 (poor quality of life)" in the psychiatric attitudes, and "P1 (anhedonia)" was the key bridge symptom in the network., Conclusions: The "insulting words" may be an intervention target for medical workers' attitudes toward mental problems. The "anhedonia" in depression is the potential symptom that needs to be treated. Intervention targeting these variables may be beneficial to improve the mental health level of medical workers and the doctor-patient relationship.

Background: Treatment non-response and recurrence are the main sources of disease burden in major depressive disorder (MDD). However, little is known about its neurobiological mechanism concerning the brain network changes accompanying pharmacotherapy. The present study investigated the changes in the intrinsic brain networks during 6-month antidepressant treatment phase associated with the treatment response and recurrence in MDD., Methods: Resting-state functional magnetic resonance imaging was acquired from untreated patients with MDD and healthy controls at baseline. The patients' depressive symptoms were monitored by using the Hamilton Rating Scale for Depression (HAMD). After 6 months of antidepressant treatment, patients were re-scanned and followed up every 6 months over 2 years. Traditional statistical analysis as well as machine learning approaches were conducted to investigate the longitudinal changes in macro-scale resting-state functional network connectivity (rsFNC) strength and micro-scale resting-state functional connectivity (rsFC) associated with long-term treatment outcome in MDD., Results: Repeated measures of the general linear model demonstrated a significant difference in the default mode network (DMN) rsFNC change before and after the 6-month antidepressant treatment between remitters and non-remitters. The difference in the rsFNC change over the 6-month antidepressant treatment between recurring and stable MDD was also specific to DMN. Machine learning analysis results revealed that only the DMN rsFC change successfully distinguished non-remitters from the remitters at 6 months and recurring from stable MDD during the 2-year follow-up., Conclusion: Our findings demonstrated that the intrinsic DMN connectivity could be a unique and important target for treatment and recurrence prevention in MDD.

Background: Chinese people experienced a nationwide coronavirus disease 2019 (COVID-19) pandemic after the adjustment of epidemic response policies from December 2022 to January 2023. This study aims to explore the prevalence of mental and cognitive symptoms and their associated factors among medical students after the COVID-19 pandemic., Methods: A cross-sectional study was conducted between February 27th and March 8th, 2023. The symptoms of anxiety, depression, insomnia, post-traumatic stress disorder (PTSD), and cognitive function among medical students were examined using the Generalized Anxiety Disorder-7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), the Athens Insomnia Scale (AIS), the Impact of Event Scale-6 (IES-6), and the Perceived Deficits Questionnaire-Depression-5 (PDQ-D-5). Data on demographic information was also collected. Statistical analyses were conducted to describe the prevalence and explore the associated factors of mental and cognitive symptoms., Results: Among 947 participants, the proportion of students experiencing anxiety, depression, insomnia, and PTSD symptoms was 37.8, 39.3, 28.3, and 29.5%, respectively. The self-reported COVID-19 infection rate was 72.2%. Higher grades, childhood, and current rural residence were identified as potential risk factors for mental and cognitive symptoms. Gender, age, average monthly household income, and COVID-19 diagnosis were not associated with mental and cognitive symptoms among medical students., Conclusion: Our findings revealed a high prevalence of mental and cognitive symptoms among Chinese medical students after the COVID-19 pandemic. Special attention should be paid to the mental health of higher-grade students and those residing in rural areas., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Cheng, Liao, He, Xiong, Ju, Liu, Liu, Wu and Zhang.)

Introduction: This study aimed to investigate the psychometric properties of the Affective Lability Scale-short form (ALS-SF) among Chinese patients with mood disorders, and to compare ALS-SF subscale scores between patients with major depressive disorder (MDD) and patients with bipolar disorder (BD) depression., Methods: A total of 344 patients with mood disorders were included in our study. Participants were measured through a set of questionnaires including the Chinese version of ALS-SF, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7-item (GAD-7), and NEO-Five Factor Inventory (NEO-FFI). Exploratory factor analysis and confirmatory factor analysis were applied to examine the psychometric properties of ALS-SF. Besides, correlation and regression analyses were performed to explore the relationship between affective lability and depression, anxiety, and neuroticism. Independent samples t -tests were used to compare the subscale scores of ALS-SF between the MDD and BD depression groups., Results: Results of factor analysis indicated that the model of ALS-SF was consistent with ALS-SF. The ALS-SF showed a solid validity and high internal consistency (Cronbach's alpha = 0.861). In addition, each subscale of ALS-SF was significantly correlated with PHQ-9, GAD-7, and NEO-FFI neuroticism subscale, except for the anger subscale showed no significant correlation with PHQ-9. Besides, the depression/elation and anger factor scores in patients with BD depression were higher than in patients with MDD., Conclusion: Our study suggests that the Chinese version of ALS-SF has good reliability and validity for measuring affective lability in Chinese patients with mood disorders. Assessing affective lability would assist clinicians to distinguish between MDD and BP depression and may decrease the risks of misdiagnosis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Ma, Xiao, Ou, Lv, Huang, Zhao, Qin, Ju and Zhang.)

Introduction: Family functioning has been found to significantly impact each family member's health mentally, physically, and socially. A number of the research has focused on the impact of impaired family functioning in general, but limited studies explore family functioning in the vulnerable period, early pregnancy. Therefore, the study aimed to investigate the characteristics and related factors in Chinese females and partners during early pregnancy., Methods: The cross-sectional study enrolled 226 pregnant women and 166 partners. Assessment tools included the McMaster Family Assessment Device (FAD), Edinburgh Postnatal Depression Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-Item, Social Support Rating Scale, and Quality of Life Enjoyment and Satisfaction Questionnaire, Short Form. Correlation analysis was applied to investigate the related factors., Results: In the present study, FAD-Behavior Control (BC) was the only dysfunctional dimension and had the highest dysfunctional rates than other dimensions. Length of time living with a partner, depressive and anxious symptoms, and quality of life were all associated with the dysfunctional family functioning of BC., Conclusions: The study reinforced the important clues of family functioning during early pregnancy. Also, it provided new entry points for the general population and healthcare providers to minimize the negative impact that impaired family function might bring to a family., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Qin, Zhang, Xu, Ma, Fan, Nie, Liu, Ju, Zhang, Li, Li, Liu and Zhang.)

Objectives: Firefighters are prone to suffer from psychological trauma and post-traumatic stress disorder (PTSD) in the workplace, and have a poor prognosis after PTSD. Reliable models for predicting PTSD allow for effective identification and intervention for patients with early PTSD. By collecting the psychological traits, psychological states and work situations of firefighters, this study aims to develop a machine learning algorithm with the aim of effectively and accurately identifying the onset of PTSD in firefighters, as well as detecting some important predictors of PTSD onset., Methods: This study conducted a cross-sectional survey through convenient sampling of firefighters from 20 fire brigades in Changsha, which were evenly distributed across 6 districts and Changsha County, with a total of 628 firefighters. We used the synthetic minority oversampling technique (SMOTE) to process data sets and used grid search to finish the parameter tuning. The predictive capability of several commonly used machine learning models was compared by 5-fold cross-validation and using the area under the receiver operating characteristic curve (ROC-AUC), accuracy, precision, recall, and F1 score., Results: The random forest model achieved good performance in predicting PTSD with an average AUC score at 0.790. The mean accuracy of the model was 90.1%, with an F1 score of 0.945. The three most important predictors were perseverance, forced thinking, and reflective deep thinking, with weights of 0.165, 0.158, and 0.152, respectively. The next most important predictors were employment time, psychological power, and optimism., Conclusions: PTSD onset prediction model for Changsha firefighters constructed by random forest has strong predictive ability, and both psychological characteristics and work situation can be used as predictors of PTSD onset risk for firefighters. In the next step of the study, validation using other large datasets is needed to ensure that the predictive models can be used in clinical setting.

Objective: Previous studies on the reliability and validity of the Affective Lability Scale short-form (ALS-SF) have only been evaluated in adults, which may not be able to generalize to the adolescent population. We aimed to examine the factor structure, the reliability and validity of ALS-SF among Chinese adolescents and construct an adolescent form of ALS (ALS-AF)., Methods: A total of 1,439 middle school students were investigated with a broad survey including ALS-SF, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7-item (GAD-7), Connor-Davidson Resilience Scale 10-item (CD-RISC-10) and non-suicidal self-injury (NSSI) behavior self-report. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to investigate the structural validity of ALS-SF and construct ALS-AF. Cronbach's α was used to assess the internal consistency and reliability of the scale. Factor loading, Average Variance Extracted (AVE) and Composite Reliability (CR) were applied to measure the convergent validity and divergent validity. Besides, Correlation and regression analyses were used to explore the relationship between affective lability and depression, anxiety, NSSI and resilience., Results: Factor analysis failed to support the original three-factor model of 18-item ALS-SF and confirmed the three-factor model of 15-item ALS-AF. The ALS-AF showed good internal consistency as well as strong convergent and discriminative validity. Besides, ALS-AF was positively correlated with PHQ-9, GAD-7 and self-harm, and was negatively associated with resilience., Conclusion: Our study shows that the ALS-AF has good reliability and validity for testing affective lability in Chinese adolescents., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Xu, Chen, Li, Yang, Lu, Li, Huang, Ma, Ou, Lv, Zhao, Qin, Ju, Zhang and Li.)

Objectives: Major depressive disorder (MDD) patients with anhedonia tend to have a poor prognosis. The underlying imaging basis for anhedonia in MDD remains largely unknown. The relationship between nodal properties and anhedonia in MDD patients need to be further investigated. Herein, this study aims to explore differences of cerebral functional node characteristics in MDD patients with severe anhedonia (MDD-SA) and MDD patients with mild anhedonia (MDD-MA) before and after the antidepressant treatment., Methods: Ninety participants with current MDD were recruited in this study. 24-Item Hamilton Depression Scale (HAMD-24) and Snaith-Hamilton Pleasure Scale (SHAPS) were used to assess the severity of depression and anhedonia at baseline and the end of 6-months treatment. The MDD patients who scored above the 25th percentile on the SHAPS were assigned to an MDD-SA group ( n= 19), while those who scored below the 25th percentile were assigned to an MDD-MA group ( n= 18). All patients in the 2 groups received antidepressant treatment. Functional magnetic resonance imaging (fMRI) images of all the patients were collected at baseline and the end of 6-months treatment. Graph theory was applied to analyze the patients' cerebral functional nodal characteristics, which were measured by efficiency (e i ) and degree (k i )., Results: Repeated measures 2-factor ANCOVA showed significant main effects on group on the e i and k i values of left superior frontal gyrus (LSFG) ( P= 0.003 and P= 0.008, respectively), and on the e i and k i values of left medial orbital-frontal gyrus (LMOFG) ( P =0.004 and P= 0.008, respectively). Compared with the MDD-MA group, the significantly higher e i and k i values of the LSFG ( P= 0.015 and P= 0.021, respectively), and the significantly higher e i and k i values of the LMOFG ( P =0.015 and P= 0.037, respectively) were observed in the MDD-SA group at baseline. Meanwhile, higher SHAPS scores could result in higher e i and k i values of LSFG ( P =0.019 and P= 0.026, respectively), and higher e i value of LMOFG ( P= 0.040) at baseline; higher SHAPS scores could result in higher e i values of LSFG ( P= 0.049) at the end of 6-months treatment. The multiple linear regression analysis revealed that sex were negatively correlated with the e i and k i values of LSFG ( r = -0.014, P =0.004; r =-1.153, P =0.001, respectively). The onset age of MDD was negatively correlated with the k i value of LSFG ( r =-0.420, P =0.034) at the end of 6-months treatment. We also found that SHAPS scores at baseline were positively correlated with the HAMD-24 scores ( r =0.387, P =0.022) at the end of 6-months treatment., Conclusions: There are obvious differences in nodal properties between the MDD-SA and the MDD-MA patients, such as the high e i of LSFG in the MDD-SA patients, which may be associated with the severity of anhedonia. These nodal properties could be potential biomarkers for the prognosis of MDD. The increased e i and k i values in the LSFG of MDD-SA patients may underlie a compensatory mechanism or protective mechanism. The mechanism may be an important component of the pathological mechanism of MDD-SA. The poor prognosis in the MDD-SA patients suggests that anhedonia may predict a worse prognosis in MDD patients. Sex and onset age of MDD may affect the nodal properties of LSFG at baseline and the end of 6-months treatment.

Background: Previous studies have shown that childhood maltreatment (CM) is closely associated with social support in the general population. However, little is known about the associations of different types of CM with social support in Chinese patients with major depressive disorder (MDD), which was the goal of the current study. Methods: One hundred and sixty-six patients with moderate-to-severe MDD were enrolled. Participants were assessed by the Childhood Trauma Questionnaire-28 item Short Form, Social Support Rating Scale (SSRS), the 24-item Hamilton rating scale for depression, and the 14-item Hamilton Anxiety Rating Scale. Correlation analysis and Hierarchical multiple linear regression analysis were adopted to investigate associations of types of CM with social support. Results: (1) Physical neglect (PN) and emotional neglect (EN) were the most commonly reported types of CM in patients with MDD. (2) EN was the only type of CM significant in the regression models of the SSRS total score, the score of subjective support, and the score of utilization of support. Limitations: The data of CM was collected retrospectively and recall bias may be introduced. Assessment of CM and social support were self-reported and could be influenced by the depression status. Conclusion: In Chinese patients with MDD, PN and EN are the most prevalent types of CM. EN is the only type of CM associated with low social support in regression models, calling for special attention in the assessment and intervention of EN., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer LN declared a shared affiliation with several of the authors XQ, MW, XL, JS, QD, LZ, JL, YJ, BL, YZ and LL to the handling editor at the time of the review., (Copyright © 2021 Qin, Wang, Lu, Sun, Dong, Zhang, Liu, Ju, Wan, Guo, Zhao, Zhang, Liu and Li.)

Schizophrenia is a common psychotic disease worldwide, and several genetic variants have been suggested to influence susceptibility to schizophrenia. However, the exact genetic and neural mechanisms underlying such relationships remain unclear. Neuroimaging endophenotypes have been considered to be desirable for finding genes influencing brain structure and function. Because of its high penetrance of genetic variants and wide applications in clinic practice, neuroimaging could be a great option in schizophrenia study. In this narrative review, we aim to provide a summary of current progress in neuroimaging findings to detect genetic variants that may influence the brain's structure and function, and thus improve understanding of how this interaction affects the onset of schizophrenia. Multiple common genetic variants for schizophrenia including the ZNF804A, DTNBP1, DAOA, AKT1, NTRK3, and ERBB4 genes are reviewed. In summary, the current investigations have reported effects of these genetic variants on both structural and functional brain abnormalities (e.g., altered grey matter volumes, white matter integrity and functional connectivity patterns) in schizophrenia within multiple brain regions, especially the frontal, temporal and hippocampal areas. These findings facilitate our understanding of schizophrenia and helping us with early diagnosis, prognosis prediction and medication. However, a deep insight into this field necessitate further investigations and there are a number of challenges to be settled, such as enlarging the sample size; solving the statistical, methodological, and technological limitations; performing not only cross-sectional but also longitudinal observations; focusing on the effect of copy number variants; figuring out the complexity of epistasis and gene-environment interaction; achieving clinical translations; and depict the effect of a polygenic risk score beyond those of single genetic markers.