Prior herpes zoster occurrence and high-dose corticosteroids increase herpes zoster risk in rheumatoid arthritis patients receiving janus kinase inhibitors in a retrospective and observational study.

Herpes zoster (HZ) risk is increased in rheumatoid arthritis (RA) patients receiving Janus kinase inhibitors (JAKi) therapy. Identifying and evaluating the risk factors of HZ development in patients receiving JAKi therapy would be clinically helpful. We investigated HZ's incidence rates (IR), identified the risk factors, and further assessed their influence on HZ development in RA patients undergoing JAKi therapy. We retrospectively evaluated 249 RA patients who received JAKi therapy between 2015 and 2023. Data regarding clinical characteristics, HZ reactivation, HZ vaccination status, and concomitant medication use were collected. Among 249 JAKi-treated patients, 44 developed new-onset HZ (tofacitinib, 28/142; baricitinib, 6/35; upadacitinib,10/72), with an IR of 5.11/100patient-years. Multivariate analysis revealed significant predictors of HZ development: a long JAKi exposure period, prior HZ or COVID-19 history, and concomitant high-dose corticosteroids use. The interval between JAKi initiation and HZ development was significantly shorter in patients with prior HZ history than in those without (median, 6.5 months versus 33.5 months, p < 0.001), suggesting "biphasic" emergence of HZ. Only one patient who had experienced an HZ episode while receiving JAKi developed recurrent HZ. None of the seventeen patients immunized with the non-live recombinant zoster vaccine developed HZ. Our JAKi-treated patients had elevated HZ risks, a class effect across different JAKi. A long exposure period, prior history of HZ or COVID-19, and concomitant high-dose corticosteroid treatment may further increase the risk. The emergence of HZ shows a biphasic pattern: early HZ development in patients with prior HZ and late development in those without. Key Points • An increased risk of HZ was observed in Taiwanese RA patients treated with JAKi, presenting as a class effect. • Patients with a long JAKi exposure period, prior history of HZ or COVID-19, and concomitant use of high-dose corticosteroids were at high risk of HZ while receiving JAKi therapy. • The interval between JAKi initiation and HZ occurrence was shorter in patients with prior HZ than in those without, showing "biphasic" emergence.

NGF facilitates ICAM-1-dependent monocyte adhesion and M1 macrophage polarization in rheumatoid arthritis.

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disorder in which monocytes adhering to synovial tissue differentiate into the pro-inflammatory M1 macrophage phenotype. Nerve growth factors (NGF) referred to as neurotrophins have been associated with inflammatory events; however, researchers have yet to elucidate the role of NGF in RA. Our examination of clinical tissue samples and analysis of data sourced from the Gene Expression Omnibus dataset unveiled elevated expression levels of M1 macrophage markers in human RA synovial tissue samples compared to normal tissue, with no such distinction observed for M2 markers. Furthermore, immunofluorescence data depicted increased expression levels of NGF and M1 macrophages in RA mice in contrast to normal mice. It appears that NGF stimulation facilitates macrophage polarization from the M0 to the M1 phenotype. It also appears that NGF promotes ICAM-1 production in human RA synovial fibroblasts, which enhances monocyte adhesion through the TrkA, MEK/ERK, and AP-1 signaling cascades. Our findings indicate NGF/TrkA axis as a novel target for the treatment of RA.

FGF23 facilitates IL-1ß synthesis in rheumatoid arthritis through activating PI3K, Akt, and NF-κB pathways.

Rheumatoid arthritis (RA) is a well-known autoimmune disorder related with joint pain, joint swelling, cartilage and bone degradation as well as deformity. Fibroblast growth factor 23 (FGF23) is an endocrine factor of the FGF family primarily produced by osteocytes and osteoblasts, involves an essential effect in pathogenesis of RA. IL-1ß is a vital proinflammatory factor in the development of RA. However, the role of FGF23 on IL-1ß synthesis in RA has not been fully explored. Our analysis of database revealed higher levels of FGF23 and IL-1ß in RA samples compared with healthy controls. High-throughput screening demonstrated that IL-1ß is a potential candidate factor after FGF23 treatment in RA synovial fibroblasts (RASFs). FGF23 concentration dependently promotes IL-1ß synthesis in RASFs. FGF23 enhances IL-1ß expression by activating the PI3K, Akt, and NF-κB pathways. Our findings support the notion that FGF23 is a promising target in the remedy of RA.

CXCL13 promotes TNF-α synthesis in rheumatoid arthritis through activating ERK/p38 pathway and inhibiting miR-330-3p generation.

Rheumatoid arthritis (RA) is a well-known autoimmune disorder associated with joint pain, joint swelling, cartilage and bone degradation as well as deformity. The chemokine (C-X-C motif) ligand 13 (CXCL13) plays a crucial role in multiple cellular pathogenesis processes, including RA. TNF-α is a vital proinflammatory factor in the progression of RA. However, the role of CXCL13 in TNF-α production in RA has not been fully explored. Our analysis of both database and clinical samples revealed higher levels of CXCL13 and TNF-α in RA samples compared to healthy controls. CXCL13 concentration-dependently induces TNF-α synthesis in RA synovial fibroblasts. CXCL13 enhances TNF-α expression by interacting with the CXCR5 receptor, activating the ERK/p38 pathways, and inhibiting miR-330-3p generation. Importantly, treatment with CXCL13 shRNA counteracted the upregulation of TNF-α production induced by collagen-induced arthritis. Our findings support the notion that CXCL13 is a promising target in the treatment of RA.

Mindfulness and loneliness in retired older adults in China: mediation effects of positive and negative affect.

Objectives: Drawing from the mindfulness framework and the broaden-and-build theory, this study investigates the extent to which mindfulness influences loneliness and whether the relation is mediated by positive and negative affect.Method: Data were collected from 748 retired older adults aged 60 and above in Chengdu, China in 2022. Loneliness and mindfulness were measured by the UCLA loneliness scale and by the short-form version of the Five Facet Mindfulness Questionnaire, while the positive and negative affect was assessed by the International Positive and Negative Affect Schedule.Results: The results of this study show that mindfulness was positively associated with positive affect (ß = 0.37, p<.001), negatively related to negative affect (ß=-0.21, p<.001) and loneliness (ß=-0.13, p<.001), and had an indirect effect on loneliness via positive and negative affect (ß=-0.20, p<.001).Conclusion: The findings suggest that mindfulness could be a positive resource for improving mental health and reducing loneliness among retired older adults in China.

Omentin-1 ameliorates the progress of osteoarthritis by promoting IL-4-dependent anti-inflammatory responses and M2 macrophage polarization.

Osteoarthritis (OA) is a prevalent joint disease commonly associated with aging and obesity, which can lead to pain, stiffness, joint dysfunction, and disability. Omentin-1 (also called intelectin-1) is a newly discovered adipokine, which plays a protective role in suppressing the secretion of pro-inflammatory cytokines. Based on data from the Gene Expression Omnibus (GEO) dataset and clinical samples obtained at our institution revealed, determined that omentin-1 and IL-4 (an anti-inflammatory cytokine) levels were significantly lower in OA patients than in normal controls. Omentin-1 was shown to induce IL-4-depedent anti-inflammatory responses and M2 macrophage polarization in OA synovial fibroblasts via the PI3K, ERK, and AMPK pathways. Administering omentin-1 was shown to block cartilage degradation and bone erosion resulting from anterior cruciate ligament transection by inhibiting the production of pro-inflammatory cytokines and promoting M2 macrophage polarization in vivo. Our findings indicate omentin-1 as a promising therapeutic avenue for the treatment for OA.

Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC).

The outreach of healthcare services is a challenge to remote areas with affected populations. Fortunately, remote health monitoring (RHM) has improved the hospital service quality and has proved its sustainable growth. However, the absence of security may breach the health insurance portability and accountability act (HIPAA), which has an exclusive set of rules for the privacy of medical data. Therefore, the goal of this work is to design and implement the adaptive Autonomous Protocol (AutoPro) on the patient's remote healthcare (RHC) monitoring data for the hospital using fully homomorphic encryption (FHE). The aim is to perform adaptive autonomous FHE computations on recent RHM data for providing health status reporting and maintaining the confidentiality of every patient. The autonomous protocol works independently within the group of prime hospital servers without the dependency on the third-party system. The adaptiveness of the protocol modes is based on the patient's affected level of slight, medium, and severe cases. Related applications are given as glucose monitoring for diabetes, digital blood pressure for stroke, pulse oximeter for COVID-19, electrocardiogram (ECG) for cardiac arrest, etc. The design for this work consists of an autonomous protocol, hospital servers combining multiple prime/local hospitals, and an algorithm based on fast fully homomorphic encryption over the torus (TFHE) library with a ring-variant by the Gentry, Sahai, and Waters (GSW) scheme. The concrete-ML model used within this work is trained using an open heart disease dataset from the UCI machine learning repository. Preprocessing is performed to recover the lost and incomplete data in the dataset. The concrete-ML model is evaluated both on the workstation and cloud server. Also, the FHE protocol is implemented on the AWS cloud network with performance details. The advantages entail providing confidentiality to the patient's data/report while saving the travel and waiting time for the hospital services. The patient's data will be completely confidential and can receive emergency services immediately. The FHE results show that the highest accuracy is achieved by support vector classification (SVC) of 88% and linear regression (LR) of 86% with the area under curve (AUC) of 91% and 90%, respectively. Ultimately, the FHE-based protocol presents a novel system that is successfully demonstrated on the cloud network.

Nesfatin-1 stimulates BMP5 expression and osteoclastogenesis in rheumatoid arthritis.

Rheumatoid arthritis (RA) is a common autoimmune disease marked by immune cell activation and chronic inflammation in the synovium accompanied by osteoclast activation and local joint destruction. Increased levels of the adipokine nesfatin-1 in RA synovium are associated with proinflammatory cytokines. Our analysis of datasets from the Gene Expression Omnibus (GEO) database and synovial tissue samples from RA patients revealed that these had higher levels of nesfatin-1 and osteoclast markers compared with normal synovium. These findings were the same in tissue samples from mice with collagen-induced arthritis (CIA) and normal healthy controls. RNA sequencing analysis revealed that nesfatin-1 increased levels of bone morphogenetic protein-5 (BMP5) expression via JAK/STAT signaling in RA synovial fibroblasts. Finally, we found that nesfatin-1 short hairpin RNA reduced BMP5 and osteoclast formation in CIA mice. These findings provide new insights into the pathogenesis of RA.

Effects of the Grapevine Biochar on the Properties of PLA Composites.

This study found that biochar made from grapevines (GVC), an agricultural waste product, can be used as a nucleating agent to promote the crystallization of polylactic acid (PLA). Differential scanning calorimetry (DSC) analysis of GVC/PLA composites showed that different particle sizes (200 and 100 mesh size) and amounts (1 wt%, 10 wt%) of biochar affect the re-crystallization of PLA, with 200 mesh GVC in the amount of 10 wt% being the most significant. In addition, it was found that there were two peaks related to imperfect and perfect crystals in the Tm part for GVC/PLA composites. TGA analysis showed that adding GVC tends to lower the maximum decomposition temperature of PLA, revealing that GVC may accelerate the degradation reaction of PLA. This research also studied the effects of GVC in various particle sizes and amounts on the mechanical properties and degradation of PLA. The results revealed that the tensile and impact strengths of GVC/PLA composite could reach 79.79 MPa and 22.67 J/m, respectively, and the increments were 41.4% and 32.1%, greater than those of pristine PLA. Moreover, the molecular weight of PLA decreased as the amount of GVC increased. Therefore, GVC particles can be used as reinforcing fillers for PLA to improve its mechanical properties and adjust its molecular weight. These agricultural-waste-reinforced biocomposites can reduce both greenhouse gas (GHG) emissions and the cost of biodegradable polymers and achieve the goals of a circular economy.

Nesfatin-1 Stimulates CCL2-dependent Monocyte Migration And M1 Macrophage Polarization: Implications For Rheumatoid Arthritis Therapy.

Rheumatoid arthritis (RA) is a prototypic inflammatory disease, characterized by the infiltration of proinflammatory cytokines into the joint synovium and the migration of mononuclear cells into inflammatory sites. The adipokine nesfatin-1 is linked to inflammatory events in various diseases, although its role in RA pathology is uncertain. Analysis of the Gene Expression Omnibus GSE55235 dataset revealed high levels of expression of the adipokine nesfatin-1 in human RA synovial tissue. Similarly, our human synovial tissue samples exhibited increasing levels of nesfatin-1 expression and Ccl2 mRNA expression. Nesfatin-1-induced stimulation of CCL2 expression and monocyte migration involved the MEK/ERK, p38, and NF-κB signaling pathways. Notably, nesfatin-1-induced increases in CCL2 expression favored M1 macrophage polarization, which increased the expression of proinflammatory cytokines IL-1ß, IL-6, and TNF-α. Finally, nesfatin-1 shRNA ameliorated the severity of inflammatory disease and reduced levels of M1 macrophage expression in CIA mice. Our studies confirm that nesfatin-1 appears to be worth targeting in RA treatment.

Relationship Between Adverse Childhood Experiences and Resilience in College Students in China.

A great body of literature has documented that adverse childhood experiences (ACEs) are related to individuals' psychological functioning and mental health. However, the majority of ACE studies focus on psychological dysfunction and less is known about how ACEs are associated with other positive psychological outcomes, including resilience. The current study assessed the relationship between ACEs and resilience, using a sample of college students in China. We hypothesized that college students who had ACEs would have lower levels of resilience. Data came from 1,871 college students from twelve colleges in China through an anonymous online survey between late September and early October 2020. Linear regression analyses were conducted. Aligned with our hypotheses, ACEs had a negative association with individuals' resilience. Despite several limitations, this study found a negative association between ACEs and college students' resilience. Preventive services and interventions are in need to protect individuals from ACEs.

Environmental trade-offs and externalities of electrochemical-based batteries: Quantitative analysis between lithium-ion and vanadium redox flow units.

This study aims to increase the scientific knowledge of the environmental impacts and externalities of two promising electrochemical-based techniques for large-scale stationary energy storage: lithium nickel cobalt manganese (NCM) and vanadium redox flow (VRF) batteries. The global warming potential (GWP) and cumulative energy demand (CED) for NCM and VRF batteries are 28 kg CO2eq and 410 MJ and 186 kg CO2eq and 3080 MJ, respectively, for the provision of 1 MWh of electricity. While the trend of the environmental externality results is proportional to the environmental impact results, the environmental costs from GWP and terrestrial ecotoxicity impacts contribute the largest share of the total environmental costs for both batteries. Overall, NCM batteries have favorable environmental performance in terms of their impact values and externalities but still show relatively higher contributions in human toxicity and ozone layer depletion impacts, based on their high resource uses. The VRF batteries, on the other hand, report higher impacts in abiotic depletion, GWP and terrestrial ecotoxicity, mainly due to their great mass of the electrolyte. Our results highlight the importance of substituting the active metals with low-impact metals or carefully considering the origin of key materials while also taking advantage of the properties of the battery to carefully assess possible advancements in battery design. The environmental externality results also provide essential information for the future development of battery industries for stationary applications with energy and environmental benefits.

A Streamlined Diagnostic Process Improved the Outcomes of Patients with Adult-Onset Still's Disease: A Single-Center Retrospective Observational Study.

INTRODUCTION: The diagnosis of adult-onset Still's disease (AOSD) is often delayed due to its clinical heterogeneity and lack of pathognomic features. Hence, there is an unmet need for an efficient diagnostic process. The major aim of this study was to compare the differences in disease outcomes between two groups of AOSD patients with and without implementation of the streamlined diagnostic process (SDP). METHODS: Of 172 febrile patients with skin rash and/or arthralgia, 112 individuals had AOSD. The tentative diagnosis of AOSD or non-AOSD was made with or without the SDP implementation. The selection criteria for AOSD outcomes analysis were as follows: (1) age at study entry older than 20 years, (2) fulfillment of the Yamaguchi criteria for AOSD diagnosis, and (3) a follow-up period longer than 6 months after initiation of therapy. Three outcome parameters were evaluated, including diagnosis lag period, the proportion of "early diagnosis," and the proportion of achieving disease remission after a 6-month therapy. RESULTS: The SDP was implemented for expediting AOSD diagnosis in 41 (36%) enrolled patients (SDP-implemented group). The diagnosis lag period was significantly shorter in the SDP-implemented group (median 2.0 weeks, interquartile range [IQR] 1.0-2.5 weeks) than in the non-SDP-implemented group (4.0 weeks, IQR 2.0-6.0 weeks, p < 0.001). A significantly higher proportion of "early diagnosis" was also found in the SDP-implemented group (75.6%) compared with the non-SDP-implemented group (33.8%, p < 0.001). We revealed a significantly higher proportion of achieving remission in the SDP-implemented group (85.4%) compared with the non-SDP-implemented group (67.6%, p < 0.05). Logistic regression analysis revealed SDP implementation as a potential predictor of achieving disease remission. CONCLUSIONS: Implementing an SDP for expediting diagnosis could improve outcomes for AOSD patients. This diagnostic process increased the early diagnosis rate and led to a higher disease remission rate. However, the beneficial effects of SDP implementation need further external validation.

Mindfulness Practice and Job Performance in Social Workers: Mediation Effect of Work Engagement.

Despite a rapid increase in the work force over the last decade, the social work labor force is still suffering through high amounts of stress and burnout that could negatively affect work engagement and job performance in China. A potential solution worth exploring, however, is the practice of mindfulness, a concept based on expanding one's awareness to target focus without judgement. Using 537 social workers from street-level social work service stations in Guangzhou, China, this paper examines the relation between mindfulness practice and job performance, and whether work engagement mediated the relation through the application of the job demand and resources theory. The findings indicate that that mindfulness practice directly increases work engagement (Beta = 0.33) and has an indirect effect on job performance (Beta = 0.21) through its effect on work engagement that fully mediated the relation between mindfulness practice and job performance. In contrast to formal mindful practices (Beta = 0.13), informal mindful practices (Beta = 0.22) encompass a broader impact on employee performance. The findings suggest that mindfulness practice can effectively be used in workspaces to enhance engagement and performance of social workers in China.

Antcin K inhibits VCAM-1-dependent monocyte adhesion in human rheumatoid arthritis synovial fibroblasts.

Background: Antcin K, an extract of Antrodia cinnamomea (a medicinal mushroom endemic to Taiwan commonly used in Chinese medicine preparations), inhibits proinflammatory cytokine production and angiogenesis in human rheumatoid arthritis synovial fibroblasts (RASFs), major players in RA disease. Antcin K also inhibits disease activity in mice with collagen-induced arthritis (CIA). Up until now, the effects of Antcin K upon cell adhesion molecules (CAMs) were unknown. Methods: RA and healthy synovial tissue samples (n = 10 in each group) were retrieved from the Gene Expression Omnibus (GEO) database (accession code: GDS5401) to compare CAM and monocyte marker expressions. In addition, synovial tissue samples from six RA patients and six patients undergoing arthroscopy for trauma/joint derangement (healthy controls) were subjected to immunohistochemical (IHC) analysis. mRNA and protein expression levels were analyzed in RASFs using RT-qPCR (Reverse transcription-quantitative polymerase chain reaction) and Western blot. RASFs were incubated with Antcin K and examined for monocyte adherence by fluorescence microscopy. Ankle joint tissue specimens from a CIA mouse model and healthy controls were stained with hematoxylin and eosin (H&E) and Safranin-O/Fast Green to examine histological changes and evidence of bone loss. IHC analysis determined levels of vascular cell adhesion molecule 1 (VCAM-1) and CD11b in CIA ankle tissue and clinical synovial tissue. Results: Levels of VCAM-1 expression were higher in the GEO database specimens and the study's clinical samples of RA synovial tissue compared with the healthy specimens. Antcin K dose-dependently inhibited VCAM-1 expression and monocyte adhesion in RASFs. Antcin K also significantly inhibited levels of VCAM-1 and monocyte CD11b expression in CIA tissue. These effects appeared to be mediated by MEK1/2-ERK, p38, and AP-1 signaling. Conclusions: Antcin K seems promising for the treatment of RA and deserves further investigations.

Multi-Modal Data Analysis for Pneumonia Status Prediction Using Deep Learning (MDA-PSP).

Evaluating several vital signs and chest X-ray (CXR) reports regularly to determine the recovery of the pneumonia patients at general wards is a challenge for doctors. A recent study shows the identification of pneumonia by the history of symptoms and signs including vital signs, CXR, and other clinical parameters, but they lack predicting the recovery status after starting treatment. The goal of this paper is to provide a pneumonia status prediction system for the early affected patient's discharge from the hospital within 7 days or late discharge more than 7 days. This paper aims to design a multimodal data analysis for pneumonia status prediction using deep learning classification (MDA-PSP). We have developed a system that takes an input of vital signs and CXR images of the affected patient with pneumonia from admission day 1 to day 3. The deep learning then classifies the health status improvement or deterioration for predicting the possible discharge state. Therefore, the scope is to provide a highly accurate prediction of the pneumonia recovery on the 7th day after 3-day treatment by the SHAP (SHapley Additive exPlanation), imputation, adaptive imputation-based preprocessing of the vital signs, and CXR image feature extraction using deep learning based on dense layers-batch normalization (BN) with class weights for the first 7 days' general ward patient in MDA-PSP. A total of 3972 patients with pneumonia were enrolled by de-identification with an adult age of 71 mean ± 17 sd and 64% of them were male. After analyzing the data behavior, appropriate improvement measures are taken by data preprocessing and feature vectorization algorithm. The deep learning method of Dense-BN with SHAP features has an accuracy of 0.77 for vital signs, 0.92 for CXR, and 0.75 for the combined model with class weights. The MDA-PSP hybrid method-based experiments are proven to demonstrate higher prediction accuracy of 0.75 for pneumonia patient status. Henceforth, the hybrid methods of machine and deep learning for pneumonia patient discharge are concluded to be a better approach.

Effects of Job Demands and Resources on Positive and Negative Affect of Delivery Drivers in China.

The delivery workforce in China has grown substantially within the past decade. As this industry has grown, job demands (JD) have also increased to ensure productivity. Accordingly, delivery drivers are increasingly facing volatile and stressful work conditions that could influence their Positive and Negative Affect (PANA), which has been an important predictor of their health and well-being. This study utilizes a sample of modern delivery drivers in Beijing, China (n = 240) to study how the job demands-resources theory (JD-R) was related to PANA. The results indicate delivery drivers experience relatively high JD and moderate JR at their places of employment. As expected, JR were positively associated with PA and negatively associated with NA. Meanwhile, JD were positively related to NA; however, JD were also positively associated with PA within the sample. Further interaction analysis showed that only drivers with high JD and high JR were positively associated with PA and that drivers with high JD and low JR were associated with high NA and had no effect on PA. These findings call for support for Chinese delivery drivers who face high job stress and high job demands.

Volunteering among Chinese College Students during the COVID-19 Pandemic.

Volunteering has been found to be not only beneficial to the well-being of recipients but also to the volunteers themselves, particularly from the life course perspective. Although previous studies have identified key factors of volunteering motivation, the literature is less focused on the interplay of public interest and private gains in volunteering motivation. This study used 1871 college students across China to examine how the interplay between public interest and private gains affects general and Coronavirus Disease 2019 (COVID-19)-specific volunteering during the pandemic. The results show that the interplay of these two factors constitutes a dynamic process, depending on the volunteering and time-specific context. Overall, undergraduate students with greater concern for public interest and less preference in private gains had the highest rate of overall volunteering, followed by students with high concern for both public interest and private gains. It is crucial to take both public interest and private gains into account when discussing volunteering opportunities among Chinese college students, which may increase the well-being of students in the long run.

Intimate Partner Violence During Pregnancy: Effects of Maternal Depression Symptoms and Parenting on Teen Depression Symptoms.

Past studies have indicated that mothers who are victims of intimate partner violence (IPV) have a greater risk of developing depression symptoms. Furthermore, existing literature provides evidence that children's mental health can be affected by their mother's mental health well past infancy and early childhood. Given this, children of IPV victims are particularly at risk of developing depression symptoms. Guided by trauma theory, the ecobiodevelopmental (EBD) framework, and social learning theory, this study investigates the long-term relationship between maternal IPV victimization during pregnancy and teen depression symptoms. This study utilizes longitudinal data from the Fragile Families and Child Wellbeing Study to examine the relationship between IPV during pregnancy and maternal depression symptoms at early childhood, as well as the mechanism by which maternal depression symptoms affect child depression symptoms in the adolescent stage of development. The findings indicate that mothers who were victims of IPV during pregnancy were more likely to have depression symptoms when children turned 3 and that maternal depression symptoms could directly predict children's depression symptoms at age 15. Meanwhile, maternal depression symptoms could indirectly increase adolescent depression symptoms via physical punishment at age 5 and bullying victimization at age 9. While extensive evidence has shown that IPV during pregnancy has detrimental effects on mothers and children, our study adds to the literature that such detriments can last as long as a decade. Given that depression symptoms can be detrimental to later development, the findings call for universal and comprehensive IPV screening tools and swift service referrals for pregnant women who are experiencing IPV. At the same time, trauma-informed parenting education for women, along with school- and community-based interventions for children, may also mitigate these harmful associations.