The association between child maltreatment, cognitive reappraisal, negative coping styles, and non-suicidal self-injury in adolescents with major depressive disorder.

BACKGROUND: Non-suicidal self-injury (NSSI) is a significant public health concern among adolescents with major depressive disorders (MDD). Although previous research has linked child maltreatment (CM) to NSSI, the precise mechanisms remain unclear. This study aims to investigate the association between CM, cognitive reappraisal (CR), negative coping styles (NC) and NSSI in adolescents with MDD, from the perspectives of both Latent Variable Theory and the Network Theory of Mental Disorder. METHODS: A sample of 651 adolescents with MDD was recruited from January to December 2023. Data on CM, CR, NC, and NSSI were collected through paper-based self-reported questionnaires. Data analysis primarily involved structural equation modeling and network analysis. RESULTS: The reporting rate of NSSI among adolescents with MDD was 48.2%. CM showed a significant positive correlation with NSSI. NSSI was affected by CM through three paths: the mediating role of CR, the mediating role of NC, and the chain mediating role of both CR and NC. Emotional abuse (EA) was the central node, while NSSI, EA, and "The urge to cry quietly when faced with troubles"(NC10) were the key bridge nodes. CONCLUSIONS: This study is the first to use both structural equation modeling and network analysis to explore the explore the relationship between CM, CR, NC, and NSSI in adolescents with MDD, providing a theoretical basis for future early prevention and targeted interventions for adolescents with MDD.

Effect of Bright Light Therapy on Perinatal Depression: A Systematic Review and Meta-Analysis: Effet de la luminothérapie sur la dépression périnatale: une revue systématique et une méta-analyse.

OBJECTIVE: This study represents the inaugural attempt to systematically review and analyse the efficacy of bright light therapy on depression among women experiencing major depressive disorder or depressive symptoms during the perinatal period, encompassing its efficacy on depression scores, remission rates, and response rates. METHODS: We searched 10 databases for randomized controlled trials examining bright light therapy's efficacy on perinatal depression up to January 2024. Data extraction was performed independently by 2 investigators. The Cochrane Handbook guidelines appraised the study quality, and the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach assessed evidence certainty. RESULTS: We incorporated 6 studies, encompassing 151 participants. When contrasted with dim light therapy, bright light therapy did not significantly alter depression scores (standard mean difference = -0.29, 95% confidence interval [CI], -0.62 to 0.04, P = 0.08, I² = 34%) or response rates (risk ratio [RR] = 1.56, 95% CI, 0.98 to 2.49, P = 0.06, I² = 0%) in women experiencing perinatal depression. Conversely, bright light therapy was associated with a substantial increase in remission rates (RR = 2.63, 95% CI, 1.29 to 5.38, P = 0.008, I² = 2%). CONCLUSION: Bright light therapy did not show efficacy in treating perinatal depression in terms of depression scores and response rates. However, regarding the remission rate, bright light did show efficacy compared to control conditions. Due to the limited sample size in the included studies, type II err or may occur. To obtain more conclusive evidence, future studies must employ larger sample sizes.

The relationship between childhood trauma and insomnia among college students with major depressive disorder: Mediation by the role of negative life events and dysfunctional attitudes.

BACKGROUND: Insomnia is a common problem among patients with major depressive disorder (MDD). According to previous studies, the development and severity of Insomnia are influenced by childhood trauma experience. Furthermore, negative life events and dysfunctional attitudes may also mediate the impact. So, this study aimed to examine the association between childhood trauma, negative life events, dysfunctional attitudes and insomnia and investigate how negative life events and dysfunctional attitudes mediate the relationship between childhood trauma and insomnia in MDD. METHOD: This cross-sectional study recruited 621 college students with MDD. The Childhood Trauma Questionnaire (CTQ), Life Event Scale (LES), Dysfunctional Attitude Scale (DAS), Insomnia Severity Index (ISI), and Hamilton Depression Scale-17 (HAMD-17) were used to assess participants' psychosocial factors. Descriptive analysis, Chi-square test, t-test, Pearson correlations, and serial mediation analyses were used in data analysis. In order to eliminate the influence of the severity of depression symptoms, severity of depression symptoms was used as a control variable in this study. RESULTS: There were 166 (26.7%) participants having clinical insomnia (ISI score > 14). After controlling for the effect of severity of depression symptoms, results of serial mediation analyses determined that childhood trauma has a direct (Estimate = 0.109, 95%CI: 0.023,0.190) and indirect (Estimate = 0.090, 95%CI: 0.054,0.137) impact to insomnia. The indirect impact of childhood trauma on insomnia through the pathways of negative life events alone (Estimate = 0.050, 95%CI: 0.024,0.093), dysfunctional attitudes alone (Estimate = 0.027, 95%CI: 0.008,0.050), and negative life events to dysfunctional attitudes (Estimate = 0.013, 95%CI: 0.006,0.024) were significant. CONCLUSIONS: This study demonstrates that screening for childhood trauma should be considered when treating insomnia in college students with MDD. Managing negative life events and dysfunctional attitudes may mitigate the negative impact of childhood trauma on insomnia in college students with MDD.

Longitudinal study of multidimensional factors influencing maternal and offspring health outcomes: a study protocol.

BACKGROUND: Reducing preventable adverse maternal and offspring outcomes is a global priority. The causes of adverse maternal and fetal outcomes are complex with multidimensional influencing factors. In addition, the Covid-19 epidemic has had a significant psychological and physical impact on people. China is now stepping into the post-epidemic era. We are curious about the psychological and physical situation of maternity in China at this stage. Therefore, we plan to initiate a prospective longitudinal study to investigate the multidimensional influences and mechanisms that affect maternal and offspring health. METHOD: We will recruit eligible pregnant women at Renmin Hospital of Hubei Province, China. The expected sample size is 1490. We will assess socio-demographics, Covid-19 related information, social capital, sleep, mental health and medical records, including clinical examination and biochemical tests. Eligible pregnant women will be enrolled in the study with less than 14 weeks of gestation. Participants will receive a total of nine follow-up visits between mid-pregnancy and one year postpartum. The offspring will be followed up at birth, 6 weeks, 3 months, 6 months and one year. In addition, a qualitative study will be conducted to understand the underlying causes that affect maternal and offspring health outcomes. DISCUSSION: This is the first longitudinal study of maternity in Wuhan, Hubei Province which integrates physical, psychological and social capital dimensions. Wuhan is the first city to be affected by Covid-19 in China. As China moves into the post-epidemic era, this study will provide us with a better understanding of the long-term impact of the epidemic on maternal and offspring health outcomes. We will implement a range of rigorous measures to enhance participants' retention rate and ensure the quality of data. The study will provide empirical results for maternal health in the post-epidemic era.

Assessment of risk factors and establishment of a nomogram model to predict early high-output ileostomy.

OBJECTIVE: This study evaluated the prevalence and perioperative risk factors for early high-output ileostomy (EHOI) and developed a precise nomogram model to predict the occurrence of EHOI. METHODS: 140 patients who underwent ileostomy surgery at three hospitals in Wuhan, Hubei Province, between January 2022 and May 2022 were enrolled in this prospective cohort study. By using univariate and multifactorial logistic regression, independent risk variables for the development of EHOI were examined, and the nomogram model for predicting the risk of EHOI was created by using R software. The calibration curve and area under the receiver operating characteristic curve (ROC AUC) were used to evaluate the calibration and discrimination of the prediction model, Hosmer-Lemeshow to verify the fit of the model. Clinical impact curve (CIC) and decision curve analysis (DCA) were used to assess the model's clinical efficacy. RESULTS: A total of 132 patients participated in the study, and the incidence of EHOI was 25.8% (34/132). The nomogram model incorporated 3 risk factors hypertension, drinking habits, and high white blood cell (WBC) count after surgery. The AUC was 0.742, and the nomogram showed great calibration and clinical validity by comparing the calibration curve, DCA, and CIC. CONCLUSIONS: Hypertension, drinking, and high WBC was significantly correlated with EHOI. The nomogram model has great clinical value in predicting the EHOI.

Perceived social support and professional identity in nursing students during the COVID-19 pandemic era: the mediating effects of self-efficacy and the moderating role of anxiety.

BACKGROUND: Health professionals, including nurses, experienced heavy workloads and significant physical and mental health challenges during the coronavirus disease (COVID) 19 pandemic, which may affect career choices for those considering nursing and for nursing students. The COVID-19 pandemic is not only a period of risk, but also an occasion to redeploy the professional identity (PI) of nursing students. However, the relationship between perceived social support (PSS), self-efficacy (SE), PI and anxiety remains unclear under the background of COVID-19. This study aims to explore whether PSS has an indirect effect on PI through mediation of SE and whether the anxiety can moderate the relationship between PSS and SE in nursing students during their internship period. METHODS: An observational, national cross-sectional study was conducted following the STROBE guidelines. An online questionnaire was completed by 2,457 nursing students from 24 provinces in China during their internship during September to October 2021. Measures included Chinese translations of the Professional Identity Questionnaire for Nursing Students, the Perceived Social Support Scale, the General Self-Efficacy Scale, the 7-item Generalized Anxiety disorder scale. RESULTS: Both PSS (r = 0.46, p < 0.001) and SE (r = 0.51, p < 0.001) were positively correlated with PI. The indirect effect of PSS on PI through SE was positive (ß = 0.348, p < 0.001), with an effect of 72.7%. The results of the moderating effect analysis showed that anxiety attenuated the effect of PSS on SE. Moderation models indicated that anxiety has a weak negative moderating effect on the effect of PSS on SE (ß =-0.0308, p < 0.05). CONCLUSIONS: A better PSS and higher scores in SE were associated with PI in nursing students, and a better PSS had an indirect effect on the PI of nursing students through SE. Anxiety played a negative moderating role in the relationship between PSS and SE.

Factors associated with burnout among Chinese nurses during COVID-19 epidemic: a cross-sectional study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) epidemic has broken out and even spread globally. The healthcare system worldwide faces enormous challenges, and nurses are at the highest risk as one of the leading forces. It's worth paying attention to nurses' anxiety and job burnout. This study aimed to investigate nurses' levels of burnout and anxiety during the epidemic of COVID-19 and to analyze influencing factors of burnout. METHODS: A cross-sectional survey was conducted from 19 to 25 February 2020. Questionnaires such as the basic information questionnaire, Maslach Burnout Inventory-General Survey (MBI-GS), and State-Trait Anxiety Inventory (STAI) were used among 1011 nurses in Wuhan tertiary hospitals via the online survey. The final number of valid questionnaires was 885. The effective response rate was 87.5%. RESULTS: The average score of MBI-GS was 11.50, 6.02, 24.47, respectively. The average score for state anxiety was 45.52 and trait anxiety, 43.78. Anxiety was positively associated with emotional exhaustion and cynicism, and negatively related to personal accomplishment. The protective factors of burnout were personnel agency, five years or less work experience, living in hospital dormitory, Wuhan medical team, working time exceeding 9 h, and the best knowledge of COVID-19. The absence of siblings, median job title, working in isolation wards, three or more night shifts per week, living in hotels, and being surrounded by confirmed or suspected medical staff were all negative factors. CONCLUSIONS: Nurses had high anxiety levels during the COVID-19 period, but the level of burnout was mild to moderate. Managers should continue to pay attention to nurses' psychological state and related factors and intervene to stabilize the nursing team.

[Study on the thermal field distribution of cholangiocarcinoma model by magnetic fluid hyperthermia].

Cholangiocarcinoma is a highly malignant tumor. It is not sensitive to radiotherapy and chemotherapy and has a poor prognosis. At present, there is no effective treatment. As a new method for treating cancer, magnetic fluid hyperthermia has been clinically applied to a variety of cancers in recent years. This article introduces it to the cholangiocarcinoma model and systematically studies the effect of magnetic fluid hyperthermia on cholangiocarcinoma. Starting from the theory of magnetic fluid heating, the electromagnetic and heat transfer models were constructed in the finite element simulation software COMSOL using the Pennes biological heat transfer equation. The Helmholtz coil was used as an alternating magnetic field generating device. The relationship between the magnetic fluid-related properties and the heating power was analyzed according to Rosensweig's theory. After the multiphysics coupling simulation was performed, the electromagnetic field and thermal field distribution in the hyperthermia region were obtained. The results showed that the magnetic field distribution in the treatment area was uniform, and the thermal field distribution met the requirements of hyperthermia. After the magnetic fluid injection, the cholangiocarcinoma tissue warmed up rapidly, and the temperature of tumor tissues could reach above 42 °C, but the surrounding healthy tissues did not heat up significantly. At the same time, it was verified that the large blood vessels around the bile duct, the overflow of the magnetic fluid, and the eddy current heat had little effect on thermotherapy. The results of this article can provide a reference for the clinical application of magnetic fluid hyperthermia for cholangiocarcinoma.

Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study.

The severe 2019 outbreak of novel coronavirus disease (COVID-19), which was first reported in Wuhan, would be expected to impact the mental health of local medical and nursing staff and thus lead them to seek help. However, those outcomes have yet to be established using epidemiological data. To explore the mental health status of medical and nursing staff and the efficacy, or lack thereof, of critically connecting psychological needs to receiving psychological care, we conducted a quantitative study. This is the first paper on the mental health of medical and nursing staff in Wuhan. Notably, among 994 medical and nursing staff working in Wuhan, 36.9% had subthreshold mental health disturbances (mean PHQ-9: 2.4), 34.4% had mild disturbances (mean PHQ-9: 5.4), 22.4% had moderate disturbances (mean PHQ-9: 9.0), and 6.2% had severe disturbance (mean PHQ-9: 15.1) in the immediate wake of the viral epidemic. The noted burden fell particularly heavily on young women. Of all participants, 36.3% had accessed psychological materials (such as books on mental health), 50.4% had accessed psychological resources available through media (such as online push messages on mental health self-help coping methods), and 17.5% had participated in counseling or psychotherapy. Trends in levels of psychological distress and factors such as exposure to infected people and psychological assistance were identified. Although staff accessed limited mental healthcare services, distressed staff nonetheless saw these services as important resources to alleviate acute mental health disturbances and improve their physical health perceptions. These findings emphasize the importance of being prepared to support frontline workers through mental health interventions at times of widespread crisis.

Cardioprotective role of growth/differentiation factor 1 in post-infarction left ventricular remodelling and dysfunction.

Growth/differentiation factor 1 (GDF1) is a secreted glycoprotein of the transforming growth factor-ß (TGF-ß) superfamily that mediates cell differentiation events during embryonic development. GDF1 is expressed in several tissues, including the heart. However, the functional role of GDF1 in myocardial infarction (MI)-induced cardiac remodelling and dysfunction is not known. Here, we performed gain-of-function and loss-of-function studies using cardiac-specific GDF1 transgenic (TG) and knockout (KO) mice to determine the role of GDF1 in the pathogenesis of functional and architectural cardiac remodelling after MI, which was induced by surgical left anterior descending coronary artery ligation. Our results demonstrate that overexpression of GDF1 in the heart causes a significant decrease in MI-derived mortality post-MI and leads to attenuated infarct size expansion, left ventricular (LV) dilatation, and cardiac dysfunction at 1 week and 4 weeks after MI injury. Compared with control animals, cardiomyocyte apoptosis, inflammation, hypertrophy, and interstitial fibrosis were all remarkably reduced in the GDF1-TG mice following MI. In contrast, GDF1 deficiency greatly exacerbated the pathological cardiac remodelling response after infarction. Further analysis of the in vitro and in vivo signalling events indicated that the beneficial role of GDF1 in MI-induced cardiac dysfunction and LV remodelling was associated with the inhibition of non-canonical (MEK-ERK1/2) and canonical (Smad) signalling cascades. Overall, our data reveal that GDF1 in the heart is a novel mediator that protects against the development of post-infarction cardiac remodelling via negative regulation of the MEK-ERK1/2 and Smad signalling pathways. Thus, GDF1 may serve as a valuable therapeutic target for the treatment of MI.

Dickkopf-3 protects against cardiac dysfunction and ventricular remodelling following myocardial infarction.

Dickkopf-3 (DKK3) is a secreted glycoprotein of the Dickkopf family (DKK1-4) that modulates Wnt signalling. DKK3 has been reported to regulate cell development, proliferation, apoptosis, and immune response. However, the functional role of DKK3 in cardiac remodelling after myocardial infarction (MI) has not yet been elucidated. This study aimed to explore the functional significance of DKK3 in the regulation of post-MI remodelling and its underlying mechanisms. MI was induced by surgical left anterior descending coronary artery ligation in transgenic mice expressing cardiac-specific DKK3 and DKK3 knockout (KO) mice as well as their non-transgenic and DKK3(+/+) littermates. Our results demonstrated that after MI, mice with DKK3 deficiency had increased mortality, greater infarct size, and exacerbated left ventricular (LV) dysfunction. Significantly, at 1 week post-MI, the hearts of DKK3-KO mice exhibited increased apoptosis, inflammation, and LV remodelling compared with the hearts of their DKK3(+/+) littermates. Conversely, DKK3 overexpression led to the opposite phenotype after infarction. Similar results were observed in cultured neonatal rat cardiomyocytes exposed to hypoxia in vitro. Mechanistically, DKK3 promotes cardioprotection by interrupting the ASK1-JNK/p38 signalling cascades. In conclusion, our results indicate that DKK3 protects against the development of MI-induced cardiac remodelling via negative regulation of the ASK1-JNK/p38 signalling pathway. Thus, our study suggests that DKK3 may represent a potential therapeutic target for the treatment of heart failure after MI.

BDNF attenuates IL-1ß-induced F-actin remodeling by inhibiting NF-κB signaling in hippocampal neurons.

OBJECTIVES: To examine the effect of BDNF on F-actin during the stimulation of IL-1ß in hippocampal neurons. MATERIALS & METHODS: We cultured hippocampal neurons from rat embryos. Cell stimulation was induced by IL-1ß. Cell culture success was evaluated by an activity analysis of CCK-8, staining of gliocyte by immunohistochemistry. Changes in F-actin, BDNF and NF-ĸB were examined using molecular analyses. RESULTS: Our results demonstrate that a high concentration of IL-1ß exaggerates the stimulation-induced degradation of F-actin by BDNF, whereas a low concentration of IL-1ß protects F-actin against this degradation. These beneficial effects might be associated with the inhibition or exaggeration of the NF-ĸB signaling cascade. CONCLUSIONS: Taken together, our findings indicate that BDNF acts as an F-actin-protective regulator during stimulation by IL-1ß and that this function largely occurs via the regulation of NF- ĸB signaling. These results suggest that interventions targeting the BDNF signaling system may be of therapeutic value against major depressive disorder (MDD).

The relationship between childhood maltreatment and non-suicidal self-injury in adolescents with depressive disorders.

This study aims to explore the core symptoms of Non-Suicidal Self-Injury (NSSI) in adolescents with depressive disorders and the relationship between childhood maltreatment (CM) and NSSI symptoms by using network analysis. A total of 689 adolescents with depressive disorders participated in the survey. The Chinese version of the Adolescent Non-Suicidal Self-Injury Assessment Questionnaire (ANSAQ) and the Short Form of the Childhood Trauma Questionnaire (CTQ-SF) were employed to measure NSSI and the symptoms of CM, respectively. Using network analysis, the NSSI network and the CM-NSSI network were constructed to identify the most central symptoms and the bridge symptoms within the networks. Within the NSSI network, "Intentional scratches", " Intentionally hitting hard objects with your head ", " Intentionally hitting oneself with fists or harder objects ", and " Intentional pinching " were identified as the primary symptoms of NSSI. "emotional abuse", "sexual abuse", and " Intentionally cut yourself " emerged as three key bridge symptoms linking CM with NSSI. This research is the first to investigate the symptom network of CM-NSSI in a sample of adolescents with depressive disorders, providing a foundation for subsequent NSSI prevention and the development of targeted intervention strategies.

Risk Prediction Model for Non-Suicidal Self-Injury in Chinese Adolescents with Major Depressive Disorder Based on Machine Learning.

Background: Non-suicidal self-injury (NSSI) is a significant social issue, especially among adolescents with major depressive disorder (MDD). This study aimed to construct a risk prediction model using machine learning (ML) algorithms, such as XGBoost and random forest, to identify interventions for healthcare professionals working with adolescents with MDD. Methods: This study investigated 488 adolescents with MDD. Adolescents was randomly divided into 75% training set and 25% test set to testify the predictive value of risk prediction model. The prediction model was constructed using XGBoost and random forest algorithms. We evaluated the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, recall, F Score of the two models for comparing the performance of the two models. Results: There were 161 (33.00%) participants having NSSI. Compared without NSSI, there were statistically significant differences in gender (P=0.035), age (P=0.036), depressive symptoms (P=0.042), sleep quality (P=0.030), dysfunctional attitudes (P=0.048), childhood trauma (P=0.046), interpersonal problems (P=0.047), psychoticism (P) (P=0.049), neuroticism (N) (P=0.044), punishing and Severe (F2) (P=0.045) and Overly-intervening and Protecting (M2) (P=0.047) with NSSI. The AUC values for random forest and XGBoost were 0.780 and 0.807, respectively. The top five most important risk predictors identified by both machine learning methods were dysfunctional attitude, childhood trauma, depressive symptoms, F2 and M2. Conclusion: The study demonstrates the suitability of prediction models for predicting NSSI behavior in Chinese adolescents with MDD based on ML. This model improves the assessment of NSSI in adolescents with MDD by health care professionals working. This provides a foundation for focused prevention and interventions by health care professionals working with these adolescents.

A predictive model for social participation of middle-aged and older adult stroke survivors: the China Health and Retirement Longitudinal Study.

Objective: This study aims to develop and validate a prediction model for evaluating the social participation in the community middle-aged and older adult stroke survivors. Methods: The predictive model is based on data from the China Health and Retirement Longitudinal Study (CHARLS), which focused on individuals aged 45 years or older. The study utilized subjects from the CHARLS 2015 and 2018 wave, eighteen factors including socio-demographic variables, behavioral and health status, mental health parameters, were analyzed in this study. To ensure the reliability of the model, the study cohort was randomly split into a training set (70%) and a validation set (30%). The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify the most effective predictors of the model through a 10-fold cross-validation. The logistic regression model was employed to investigate the factors associated with social participation in stroke patients. A nomogram was constructed to develop a prediction model. Calibration curves were used to assess the accuracy of the nomogram model. The model's performance was evaluated using the area under the curve (AUC) and decision curve analysis (DCA). Result: A total of 1,239 subjects with stroke from the CHARLS database collected in 2013 and 2015 wave were eligible in the final analysis. Out of these, 539 (43.5%) subjects had social participation. The model considered nineteen factors, the LASSO regression selected eleven factors, including age, gender, residence type, education level, pension, insurance, financial dependence, physical function (PF), self-reported healthy,cognition and satisfaction in the prediction model. These factors were used to construct the nomogram model, which showed a certain extent good concordance and accuracy. The AUC values of training and internal validation sets were 0.669 (95%CI 0.631-0.707) and 0.635 (95% CI 0.573-0.698), respectively. Hosmer-Lemeshow test values were p = 0.588 and p = 0.563. Calibration curves showed agreement between the nomogram model and actual observations. ROC and DCA indicated that the nomogram had predictive performance. Conclusion: The nomogram constructed in this study can be used to evaluate the probability of social participation in middle-aged individuals and identify those who may have low social participation after experiencing a stroke.

Relationship Between Childhood Trauma and Nonsuicidal Self-Injury Among Adolescents with Depressive Disorder: Mediated by Negative Life Events and Coping Style.

Purpose: Nonsuicidal self-injury (NSSI) is related to childhood trauma, negative life events, and coping style, but the interaction among these factors and the mechanism by which they interact in adolescents with depressive disorder remain unclear. This paper explores how these factors interact to influence NSSI and provides evidence to develop prevention efforts and interventions for adolescents with depressive disorder with NSSI. Patients and Methods: A cross-sectional design and convenient sampling method were used in this study. The Childhood Trauma Questionnaire, Adolescent Self-Rating Life Events Checklist, Trait Coping Style Questionnaire, and Adolescent Nonsuicidal Self-injury Assessment Questionnaire were completed by 540 adolescents with depressive disorder. Descriptive analysis, chi-square tests, t-tests, Pearson correlations, and serial mediation analyses were used in the data analysis. Results: A total of 398 (79.442%) adolescents with depressive disorders reported experiences of NSSI. The results of serial mediation analyses determined that childhood trauma has a direct (estimate = 0.209, 95% CI: 0.063, 0.334) and indirect (estimate = 0.271, 95% CI: 0.199, 0.371) impact on NSSI. The indirect impact of childhood trauma on NSSI through negative life events alone (estimate = 0.096, 95% CI: 0.007, 0.169), coping styles alone (estimate = 0.088, 95% CI: 0.034, 0.183), and negative life events on coping styles (estimate = 0.086, 95% CI: 0.042, 0.162) was significant. Conclusion: This study demonstrates that screening for childhood trauma should be considered when preventing and treating NSSI behavior in adolescents with depressive disorder. Managing negative life events and coping style may mitigate the negative impact of childhood trauma on NSSI behavior in adolescents with depressive disorder.

Psychometric evaluation of the body understanding measure pregnancy scale Chinese version for pregnant Chinese women.

OBJECTIVES: At present, there is limited research on pregnancy body image and no valid tool to measure body image in pregnant Chinese women. The purpose of this study was to translate the Body Understanding Measure Pregnancy Scale into Chinese to determine its reliability and validity in measuring body image in pregnant women. METHODS: The translation of the Body Understanding Measure Pregnancy Scale (BUMPs) was carried out with a standardized procedure. This study was conducted from July to December 2020 in the outpatient department of three tertiary hospitals in China. There were 1069 pregnant women completed the questionnaire and 1057 of those women were included in the analysis. Internal consistency, test-retest reliability, content validity, and construct validity of the translation version were examined. RESULTS: The final Chinese version of the BUMPs (BUMPs-C) had four dimensions with 16 items. Exploratory factor analysis obtained a three-factor solution, which explained 50.26% of the total variances. Confirmatory factor analysis showed that the model fit of the four-factor model was better than the three-factor model, and the four-factor model also reached a satisfactory model fit after modifying: Minimum Discrepancy was 2.82; Comparative Fit Index was 0.939, and Tucker-Lewis Index was 0.92; Root Mean Square Error of Approximation was 0.059. The content validity index of the scale was 1.0; the Cronbach's alpha (α) coefficient was 0.82 for the total scale, the McDonald's omega (ω) coefficient was 0.829; the test-retest reliability was 0.796. CONCLUSIONS: The BUMPs-C showed good reliability and validity among pregnant Chinese women, which can be used as a simple and valid measurement tool to assess the feelings of pregnant Chinese women on body changes during pregnancy.

Mapping global prevalence of depression among postpartum women.

Postpartum depression (PPD) is the most common psychological condition following childbirth, and may have a detrimental effect on the social and cognitive health of spouses, infants, and children. The aim of this study was to complete a comprehensive overview of the current literature on the global epidemiology of PPD. A total of 565 studies from 80 different countries or regions were included in the final analysis. Postpartum depression was found in 17.22% (95% CI 16.00-18.51) of the world's population. Meta-regression analysis showed that study size, country or region development, and country or region income were the causes of heterogeneity. Multivariable meta-regression analysis found that study size and country or area development were the most important predictors. Varied prevalence rates were noted in geographic regions with the highest rate found in Southern Africa (39.96%). Of interested was a significantly lower rate of PPD in developed countries or high-income countries or areas. Furthermore, the findings showed that there was a substantial difference in rates of PPD when marital status, educational level, social support, spouse care, violence, gestational age, breast feeding, child mortality, pregnancy plan, financial difficulties, partnership, life stress, smoking, alcohol intake, and living conditions were considered in the pooled estimates. Our results indicated that one out of every five women experiences PPD which is linked to income and geographic development. It is triggered by a variety of causes that necessitate the attention and committed intervention of primary care providers, clinicians, health authorities, and the general population.