Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder.

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.

Relationship between childhood maltreatment and cognitive function in medication-free patients with major depressive disorder.

This study aimed to elucidate the contribution of childhood maltreatment (CM) and the disease of major depressive disorder (MDD) on cognitive function in medication-free patients in a current depressive episode, and to examine the effect of CM on the improvement of cognitive function after treatment with antidepressants. One hundred and fifty-three unmedicated patients with MDD and 142 healthy controls (HCs) underwent clinical interviews. CM assessment was performed using the Childhood Trauma Questionnaire (CTQ), and a battery of comprehensive neurocognitive tests was used to assess the participants' executive function, processing speed, attention, and memory. After 6 months of treatment with antidepressants, the neurocognitive tests were reperformed in patients with MDD and HCs. There was a significant main effect of MDD on all four cognitive domains, while the main effect of CM was only significant on memory. No significant interactive effect was found between MDD and CM on any of the cognitive domains. In the MDD group, higher CTQ total score was predictive of poorer memory performance. After treatment, significant main effects of treatment and MDD were found on all four cognitive domains in remitted patients with MDD. No significant main effect of CM or three-way interaction effect of treatment × MDD × CM was found on any of the cognitive domains. The disease of MDD contributed to impairments in all four cognitive domains. CM independently contributed to memory impairment in patients in a current depressive episode, with higher severity of CM predictive of poorer memory performance.

Prevalence and risk factors of anxious and depressive symptoms in first-trimester females and their partners: a study during the pandemic era of COVID-19 in China.

BACKGROUND: The pandemic of coronavirus disease 2019 lastingly affects public mental health. Many studies have described symptoms of anxiety and depression in pregnant women before the pandemic. However, the limited study focuses on the prevalence and risk factors of mood symptoms among first-trimester females and their partners during the pandemic in China, which was the aim of the study. METHODS: One hundred and sixty-nine first-trimester couples were enrolled. The Edinburgh Postnatal Depression Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-Item, Family Assessment Device-General Functioning (FAD-GF), and Quality of Life Enjoyment and Satisfaction Questionnaire, Short Form (Q-LES-Q-SF) were applied. Data were mainly analyzed through logistic regression analysis. RESULTS: 17.75% and 5.92% of first-trimester females had depressive and anxious symptoms, respectively. Among partners, 11.83% and 9.47% had depressive and anxious symptoms, respectively. In females, higher scores of FAD-GF (OR = 5.46 and 13.09; P < 0.05) and lower scores of Q-LES-Q-SF (OR = 0.83 and 0.70; P < 0.01) were related to the risk of depressive and anxious symptoms. Higher scores of FAD-GF were associated with the risk of depressive and anxious symptoms in partners (OR = 3.95 and 6.89; P < 0.05). A history of smoking was also related to males' depressive symptoms (OR = 4.49; P < 0.05). CONCLUSION: This study prompted prominent mood symptoms during the pandemic. Family functioning, quality of life, and smoking history increased risks of mood symptoms among early pregnant families, which facilitated the updating of medical intervention. However, the current study did not explore interventions based on these findings.

Impact of childhood maltreatment on adult resilience.

BACKGROUND: Previous studies suggested that childhood maltreatment is associated with poor health outcomes. While not everyone who experiences abuse as a child goes on to experience poor mental health, some traumatized people are grown to be more resilient than others. Few studies have examined the association between childhood maltreatment and adult resilience. This study aimed to determine different relationships between specific types and features of childhood maltreatment with adult resilience among Chinese with Major Depressive Disorder (MDD) and healthy controls (HCs). METHODS: A total of 101 patients with MDD and 116 participants in the healthy control (HC) group from Zhumadian Psychiatric Hospital and its nearby communities were included in this analysis. Childhood maltreatment was assessed retrospectively using Childhood Trauma Questionnaire (CTQ). Adults' resilience was assessed by the Connor-Davidson Resilience Scale (CD-RISC). Generalized linear models were applied between childhood maltreatment (specific types and features) and resilience adjusting for covariates. RESULTS: The total score of CD-RISC and factor scores of strength, optimism, and tenacity in the HC group were higher than those in the MDD group. CTQ total score had a negative association with optimism score among participants in MDD (ß=-0.087, P < 0.001) and HC (ß=-0.074, P = 0.023) groups. Higher emotional neglect (EN) score (ß=-0.169, P = 0.001) and physical neglect (PN) score (ß=-0.153, P = 0.043) were related to a worse optimism score in MDD group. Emotional abuse (EA) score was associated with a worse tenacity score (ß=-0.674, P = 0.031) in MDD group. For participants in HC group, higher EN and PN scores were related to worse resilience scores (tenacity, strength, and optimism). CONCLUSIONS: Patients with MDD showed lower optimism than HCs. Childhood maltreatment, especially childhood negect, independently contributed to optimism, with more severe childhood maltreatment predictive of worse performance of optimism. EA in childhood was also linked to worse tenacity in adult patients with MDD.

The relationship between personality traits and dysfunctional attitudes in individuals with or without major depressive disorder: a case control study.

BACKGROUND: Dysfunctional attitudes, which are characterized by distorted self-cognitions, were considered to be linked to personality traits. It was found that certain personality traits may predict dysfunctional attitudes in patients with major depressive disorder (MDD). Nonetheless, the relationship between personality traits and dysfunctional attitudes remains under-researched. AIMS: The aim of this study is to examine the relationship between specific domains of Sixteen Personality Factor (16PF) and dysfunctional attitudes in Chinese participants with or without MDD. In addition, the present study explores the associations between 16PF and eight subtypes of dysfunctional attitudes, based on the proposed eight-factor structure of the Chinese version of the Dysfunctional Attitude Scale-Form A (C-DAS-A). METHODS: One hundred and sixty-eight participants with MDD and 130 healthy participants were included in the study (Trial Registration Number: ChiCTR1800014591). Personality was assessed using the 16PF Questionnaire. Dysfunctional attitudes were measured through the C-DAS-A. RESULTS: The 16PF dimensions associated with dysfunctional attitudes and the eight subtypes were mainly concentrated in the four anxiety facets including factors C, L, O, and Q4, in both MDD and HC groups. There were significant differences in the 16 PF dimensions that would explain dysfunctional attitudes between the two groups, which were as follows: factors C, G, and O in the MDD group, and factors L and Q4 in the HC group. CONCLUSIONS: Personality traits, especially the anxiety-related personality traits, were distinctly associated with the development of dysfunctional attitudes in people with or without MDD.

Using machine learning algorithm to predict the risk of post-traumatic stress disorder among firefighters in Changsha. / ç”¨æœºå™¨å­¦ä¹ ç®—æ³•é¢„æµ‹é•¿æ²™æ¶ˆé˜²å‘˜æ‚£åˆ›ä¼¤åŽåº”æ¿€éšœç¢çš„é£Žé™©.

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.

Relationships between attitudes toward mental problems, doctor-patient relationships, and depression/anxiety levels in medical workers: A network analysis. / åŒ»åŠ¡äººå‘˜çœ‹å¾ ç²¾ç¥žç–¾ç— æ€åº¦ä¸ŽåŒ»æ‚£å ³ç³»å’ŒæŠ‘éƒç„¦è™‘æ°´å¹³å ³ç³»çš„ç½‘ç»œåˆ†æž.

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.

High efficiency of left superior frontal gyrus and the symptom features of major depressive disorder. / å·¦ä¾§é¢ä¸Šå›žç½‘ç»œèŠ‚ç‚¹é«˜æ•ˆçŽ‡å€¼ä¸ŽæŠ‘éƒç—‡ç—‡çŠ¶ç‰¹å¾çš„å ³ç³».

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 (ei) and degree (ki). RESULTS: Repeated measures 2-factor ANCOVA showed significant main effects on group on the ei and ki values of left superior frontal gyrus (LSFG) (P=0.003 and P=0.008, respectively), and on the ei and ki 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 ei and ki values of the LSFG (P=0.015 and P=0.021, respectively), and the significantly higher ei and ki 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 ei and ki values of LSFG (P=0.019 and P=0.026, respectively), and higher ei value of LMOFG (P=0.040) at baseline; higher SHAPS scores could result in higher ei 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 ei and ki 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 ki 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 ei 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 ei and ki 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.

China's mental health support in response to COVID-19: progression, challenges and reflection.

The continued spread of the coronavirus disease 2019 (COVID-19) has a serious impact on everyone across the globe, both physically and psychologically. In addition to proactive measures addressing physical survival needs and health protection, China has launched a mental health support system to cope with the widespread psychological stress during the pandemic and its aftermath. In this debate, the authors attempted to depict and reflect upon the overall framework of China's mental health support, with particular reference to the psychological intervention in response to COVID-19 over the last few months. Although a lot of effort has been made to meet the mental health needs, the accessibility, acceptability and effectiveness of the support system still have much room for improvement. Therefore, it is very important to re-think the predicament and challenge on ways of enhancing public mental health emergency responses in China. The concepts of universality, timeliness and scientific rigour were proposed as a possible reform in preparation for large-scale natural or man-made disasters in the coming future.

The Tendency of Modified Electroconvulsive Therapy-Related Working Memory and Subjective Memory Deficits in Depression: A Prospective Follow-up Study.

OBJECTIVE: The aim of the study was to explore the tendency of modified electroconvulsive therapy (MECT)-related working memory and subjective memory deficits in depressed patients. METHODS: Sixty patients with unipolar/bipolar depression were prepared and enrolled for MECT and 56 subjects were enrolled as healthy controls (HCs). Their demographics (sex, age, body mass index, years of schooling, etc) and clinical characteristics (dosage and number of MECT, etc) were compared. Depression severity, working memory, and subjective memory were measured using the Hamilton Depression Rating Scale 17 (HAMD17), a Digit Span Backwards (DSB), and self-reported assessments, respectively. Measurements were taken at baseline, within 24 hours after each MECT session, and in every month for a 6-month follow-up period. RESULTS: (a) The patients had poorer performance than the HCs on DSB and HAMD17 at baseline, and the DSB score and HAMD17 total scores were negatively correlated. However, after the second MECT session, the patients' HAMD17 score was significantly improved compared with that at the baseline (P < 0.05), whereas the DSB score showed no significant difference compared with the HCs (P > 0.05). (b) After the first MECT session, 62% of the patients reported subjective memory deficits, which were exacerbated over the subsequent sessions and relieved with antidepressant treatment during the follow-up period. (c) The risk factors for prolonged subjective memory deficits were overweight and the maximum MECT dosage/age (dosage/age = the percentage of output part of total dosage × 100/age, unit: 1/year) ≥ 1.5/year (odds ratio [OR] = 15.36 and 7.98). CONCLUSIONS: Depressed patients showed poorer working memory than the HCs. Such memory deficit may be aggravated by MECT, although it may improve with the relief of depression. Although subjective memory deficits can occur after the first MECT session and gradually recover after the treatment, they may last for 6 months or longer. Persistent deficits may be related to being overweight and having a high MECT dosage.

Mental health status of patients with coronavirus disease 2019 in Changsha. / 长沙地区2019å† çŠ¶ç— æ¯’ç— æ‚£è€ çš„å¿ƒç†å¥åº·çŠ¶å†µ.

OBJECTIVES: The epidemic of coronavirus disease 2019 (COVID-19) brought psychological stress to the public, especially to patients. This study aims to investigate the mental health of patients with COVID-19 in Changsha. METHODS: We took cross-section investigation for the mental health of 112 patients with COVID-19 via questionnaires. Mann-Whitney U test, Chi-square test, and Fisher's exact test were performed to compare general and clinical data between the slight-ordinary patients and severe patients. Single sample t-tests were used to compare the difference between the factor scores of the Symptom Check-List 90 (SCL-90) in COVID-19 patients with the norm of 2015 and factor scores of SCL-90 in patients with the severe acute respiratory syndrome (SARS). RESULTS: The obsessive-compulsive, depression, sleep and eating disorders had the highest frequency among the positive symptoms of SCL-90 in patients with COVID-19 in Changsha. The factor scores of somatization, depression, anxiety, phobia anxiety, sleep and eating disorders in patients with COVID-19 were higher than those of the norm (P≤0.001 or P<0.05). Slight-ordinary patients with COVID-19 in Changsha showed lower factor scores of somatization, depression, anxiety, and hostility compared with the patients with SARS (P<0.001 or P<0.05). There was no difference in factor scores of SCL-90 between the patients with severe COVID-19 and those with SARS(P>0.05). CONCLUSIONS: The levels of somatization, depression, anxiety, phobia anxiety, sleep and eating disorders in patients with COVID-19 in Changsha are higher than those of the norm. However, the mental health of slight-ordinary patients with COVID-19 is better than that of patients with SARS. It needs to provide targeting psychological interventions depending on the severity of patients.

Efficacy of probiotics on anxiety-A meta-analysis of randomized controlled trials.

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.

Gut microbiota-derived short-chain fatty acids and depression: deep insight into biological mechanisms and potential applications.

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.

Risk factors associated with depression and anxiety among the Chinese general population after retracting the dynamic zero-COVID policy: A network analysis.

BACKGROUND: Recent studies have evidenced the negative psychological consequences of the COVID-19 pandemic and sociodemographic vulnerability among the general population, while limited information was available on which factors make the greatest contribution to psychological distress when these factors were considered concurrently. Herein, we aimed to investigate the pathways that underlie psychological distress in the context of retracting dynamic zero-COVID policy. METHODS: We employed the mixed graphical model to construct the network of depression (PHQ-9), anxiety (GAD-7), and pandemic-related factors in a general population sample (N = 1610). Then, we re-examined the network by adding sociodemographic variables to further explore the influence of sociodemographic factors. Additionally, we repeated the analyses in the second sample (N = 620) collected in the same period to assess the replicability. RESULTS: The relationships between the pandemic factors and anxiety and depressive symptoms exhibited a tendency to decrease after adding demographic variables, and income became the most important node and shared edge weights with all anxiety and depressive symptoms. These findings were replicable with the second sample. No significant difference in the network properties was detected between the two samples. LIMITATIONS: The cross-sectional design limits the ability to observe longitudinal changes in these risk factors and their relationship with psychological distress. CONCLUSIONS: Income level, rather than the pandemic-related factors, acted as a vital role in the psychological distress of the general population, implying that livelihood issues may be the critical intervention targets for mental health during the post-pandemic period.

Prevalence and risk factors of antenatal depression in the first trimester: A real-world cross-sectional study in a developed district in South China.

BACKGROUND: Antenatal depression may result in adverse outcomes for both the mother and the offspring. However, few studies have focused on the screening of pregnant women at a higher risk for antenatal depression in the first trimester. The present study aimed to assess the effect of lifestyle and family relationships on antenatal depression in the first trimester in a large Chinese population. METHODS: Cross-sectional population data were obtained from a real-world cross-sectional survey conducted in Shenzhen, China from 2020 to 2024. The data on sociodemographic characteristics, lifestyle, and family relationships were obtained using self-reported questionnaires. Antenatal depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS), with a score of ≥13 indicating the presence of probable antenatal depression. A binary logistic regression model was used to identify the risk factors of antenatal depression. RESULTS: A total of 42,363 pregnant women in the first trimester were recruited in the cross-sectional survey, among whom 3107 (7.3 %) had probable antenatal depression. We found (1) age < 25 years, (2) low or moderate economic status, (3) smoking, (4) partner smoking, (5) alcohol use, (6) lack of physical exercise, (7) poor or moderate living environment, (8) low or moderate marital happiness, and (9) never talking about problems were associated with antenatal depression. However, level of education, employment status, partner alcohol use, and living alone were not significantly related to antenatal depression in the first trimester. LIMITATIONS: The cross-sectional design and the use of self-report measures must be considered while interpreting the results. CONCLUSIONS: This study suggested that the prevalence of antenatal depression in the first trimester was 7.3 %. Public health prevention efforts aimed at reducing the prevalence of antenatal depression are recommended. Early identification of women at a higher risk in early pregnancy is necessary for preventing antenatal depression and improving quality of life.

Network analysis of suicide ideation and depression-anxiety symptoms among Chinese adolescents.

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.

Multiple trajectories of depressive symptoms among Chinese in middle and late life: Characterization and risk factors.

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.

Altered Relationship between Functional Connectivity and Fiber-Bundle Structure in High-Functioning Male Adults with Autism Spectrum Disorder.

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.

The kynurenine pathway in major depressive disorder under different disease states: A systematic review and meta-analysis.

BACKGROUND: A disruption of the kynurenine (KYN) pathway may exist in major depressive disorder (MDD). However, the changing pattern of the KYN pathway across the different disease states in MDD is unclear. Herein, we performed a meta-analysis to examine the differences in KYN metabolites between patients in the current episode of MDD (cMDD) and patients in remission (rMDD), as well as the changes after treatments. METHODS: Literature was systematically searched from electronic databases, from inception up to September 2022. Random-effect models were used to quantify the differences in KYN metabolites between patients with MDD across acute depressive episode and remission phases, as well as the changes after treatments. RESULTS: Fifty-one studies involving 7056 participants were included. Tryptophan (TRP), KYN, kynurenic acid (KYNA), KYNA/quinolinic acid (QA), KYNA/3-hydroxykynurenine (3-HK), and KYNA/KYN were significantly lower, while KYN/TRP was significantly higher in patients with cMDD. Moreover, these effect sizes were generally larger in medication-free patients. No significant differences were found between patients with rMDD and HCs. Additionally, KYNA was found negatively correlated with depression severity and significantly increased after treatments, while the alteration was not found in QA. LIMITATIONS: The number of included studies of patients with rMDD and longitudinal studies investigating the change of the KYN metabolites after treatment with antidepressants was limited. In addition, the heterogeneity across included studies was relatively high. CONCLUSIONS: These findings showed a comprehensive image of the unique dysfunction pattern of the KYN pathway across different MDD states and highlighted KYNA as a potentially sensitive biomarker of MDD.

Posttraumatic stress symptoms in healthcare workers during the COVID-19 pandemic: A four-wave longitudinal study.

BACKGROUND: Posttraumatic stress symptoms of healthcare workers have become a significant public concern in the healthcare system that have long COVID-19. It is less known how the pandemic impacts the HCWs' PTSS longitudinally and long-term risk factors for it. METHODS: Four consecutive surveys were conducted among healthcare workers in China from 2019 to 2023 COVID-19 outbreaks. Multilevel mixed-effect models were used to examine longitudinal changes and risk factors. Network analysis was utilized to explore network centrality changes in PTSS symptoms. RESULTS: HCWs' PTSS symptoms were increased over time during the COVID-19 pandemic. Being female, being nurse, working in the emergency department, working longer hours, less frequently going back home and having COVID-19 infection are risk factors of PTSS for HCWs; unmarried is the protective factor. Significant interaction between symptom changes and profession exists. PTSS networks showed that Avoidance of thoughts, Emotional-cue activity, Exaggerated startle response and Hypervigilance were the central symptoms during four waves. The global strength of the PTSS network grows over time, and nodal strength of Avoidance of thoughts, Loss of interest and Negative beliefs increased by COVID-19. CONCLUSION: The pandemic's impacts on healthcare workers vary by professions. PTSS symptoms exacerbate, reinforce each other, and persists with recurring waves.