1.Correlation of childhood trauma and leisure activities with psychological distress among upper grade elemetary school students
Chinese Journal of School Health 2026;47(1):70-74
Objective:
To understand the impact of childhood trauma on psychological distress among upper grade elemetary school students, and to explore the mediating role of leisure activities in the relationship, so as to provide a basis for developing mental health intervention strategies.
Methods:
From August to November 2024, a combination of convenience sampling and stratified cluster random sampling was employed to recruit 1 373 fourth to sixth grade students from four primary schools in Harbin. The Childhood Trauma Questionnaire(CTQ), a self designed leisure activity scale (including active and passive leisure activities), and the Kessler Psychological Distress Scale (K10) were used to assess childhood trauma experiences, leisure activities, and levels of psychological distress. Spearman correlation analysis and linear regression analysis were conducted to explore the relationships among childhood trauma, leisure types, leisure time, and psychological distress. Based on the mediation analysis framework proposed by Hayes (Model 4), the mediating role of leisure types in the relationship between childhood trauma and psychological distress was examined.
Results:
Totally 19.1% of the upper elemetary school students exhibited psychological distress, while 30.2% had experienced childhood trauma. During school days, 64.6% of the students were reported of having leisure time concentrated between 1 and 5 hours per day, whereas 67.4% reported leisure time exceeding 5 hours per day on weekends. After controlling for potential demographic confounders such as gender, grade, ethnicity, household registration, being an only child, parents educational level, co residence, and whether parents are first time married,linear regression analysis showed that childhood trauma experience had positive predictive effect on psychological distress in upper primary school students( β =0.20, P <0.01). Leisure time showed no statistically significant association with psychological distress, both on school days ( β =-0.58 to -0.56) and weekends ( β =0.26- 0.98 )(all P >0.05). Active leisure activities were negatively associated with psychological distress ( β =-0.20), while passive leisure activities were positively associated with psychological distress ( β =0.29)(both P <0.01). Leisure type partially mediated the relationship between childhood trauma and psychological distress, accounting for 11.7% of the indirect effect.
Conclusion
Childhood trauma experiences positively predict psychological distress in upper elementary school students, and affect psychological distress through active leisure and passive leisure.
2.Impact of childhood maltreatment and sleep quality on depressive symptoms among middle school students
Chinese Journal of School Health 2025;46(1):73-77
Objective:
To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students.
Methods:
From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models.
Results:
The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49,95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99,95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49,95% CI =14.22~35.59, P <0.01).
Conclusion
Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.
3.Therapeutic effect of anti-PD-L1&CXCR4 bispecific nanobody combined with gemcitabine in synergy with PBMC on pancreatic cancer treatment
Hai HU ; Shu-yi XU ; Yue-jiang ZHENG ; Jian-wei ZHU ; Ming-yuan WU
Acta Pharmaceutica Sinica 2025;60(2):388-396
Pancreatic cancer is a kind of highly malignant tumor with a low survival rate and poor prognosis. The effectiveness of gemcitabine as a first-line chemotherapy drug is limited; however, it can activate dendritic cells and improve antigen presentation which increase the sensitivity of tumor cell to immunotherapy. Although immunotherapy has made some advancements in cancer treatment, the therapeutic benefit of programmed cell death receptor 1/programmed death receptor-ligand 1 (PD-1/PD-L1) blockade therapy remains relatively low. The chemokine C-X-C chemokine ligand 12 (CXCL12) contributes to an immunosuppressive tumor microenvironment by recruiting immunosuppressive cells. The receptor C-X-C motif chemokine receptor 4 (CXCR4), highly expressed in various tumors including pancreatic cancer, plays a crucial role in tumor development and progression. In this study, the anti-tumor immune response of human peripheral blood mononuclear cell (hPBMC) was enhanced using the combination of BsNb PX4 (anti-PD-L1&CXCR4 bispecific nanobody) and gemcitabine. In a co-culture system of gemcitabine-pretreated hPBMCs with tumor cells, the BsNb PX4 synergized gemcitabine to improve the cytotoxic activity of hPBMCs against tumor cells. Flow cytometry analysis confirmed increased ratio of CD8+ to CD4+ T cells in combination treatment. In NOD/SCID mice bearing pancreatic cancer, the combination treatment exhibited more infiltration of CD8+ T cells into tumor tissues, contributing to an effective anti-tumor response. This study presents potential new therapies for the treatment of pancreatic cancer. Ethical approval was obtained for collection of hPBMC samples from the Local Ethics Committee of Shanghai Jiao Tong University. All animal experiments were approved by the Animal Ethic Committee of Shanghai Jiao Tong University (authorizing number: A2024246).
4.Impacts of Internalized Weight Bias and Weight Control Beliefs on Eating Behaviors in Women Losing Weight.
Dan-Ping ZHENG ; Hong-Wei ZHU ; Yu-Jia YANG ; Jing-Yi ZHANG ; Hai-Yan ZHANG ; Zhi-Yuan ZHANG ; Wei CHEN
Acta Academiae Medicinae Sinicae 2025;47(5):822-829
Objective To investigate the internalized weight bias and weight control beliefs regarding the current status,influencing factors,and impacts on eating behaviors of women losing weight. Methods A convenient sampling method was used to select the females who underwent physical examination in the Peking Union Medical College Hospital from August to December 2023.The general information questionnaire,Weight Bias Internalization Scale,Weight Control Belief Questionnaire,and Chinese version of Three-Factor Eating Questionnaire were utilized for investigation.Latent class analysis was conducted to explore the potential categories based on the characteristics of internalized weight bias and weight control beliefs.Univariate analysis and multiple-factor linear regression analysis were performed to explore influencing factors of potential categories and their effects on eating behaviors. Results A total of 518 subjects were included in this study.The internalized weight bias and weight control beliefs could be classified into three potential categories: low weight bias tolerance type(53.7%),medium weight bias persistence type(29.5%),and high weight bias overcritical type(16.8%).Logistic regression analysis showed that body mass index,unmarriage,and divorce were the influencing factors of the high weight bias overcritical type.The scores of non-control eating and emotional eating in medium weight bias persistence type and high weight bias overcritical type were higher than those in low weight bias tolerance type(all P<0.001). Conclusions The attitudes of Chinese women towards body weight can be categorized into low weight bias tolerance type,medium weight bias persistence type,and high weight bias overcritical type.The high weight bias overcritical type is characterized by high weight bias and high personal responsibility attribution,and it is closely associated with negative eating behaviors.A high body mass index,unmarriage,and divorce are high-risk factors for developing the high weight bias overcritical type.
Humans
;
Female
;
Feeding Behavior/psychology*
;
Surveys and Questionnaires
;
Adult
;
Body Mass Index
;
Weight Loss
;
Body Weight
;
Body Image
;
Middle Aged
;
Weight Prejudice
5.Sperm tRNA-derived fragments expression is potentially linked to abstinence-related improvement of sperm quality.
Xi-Ren JI ; Rui-Jun WANG ; Zeng-Hui HUANG ; Hui-Lan WU ; Xiu-Hai HUANG ; Hao BO ; Ge LIN ; Wen-Bing ZHU ; Chuan HUANG
Asian Journal of Andrology 2025;27(5):638-645
Recent studies have shown that shorter periods of ejaculatory abstinence may enhance certain sperm parameters, but the molecular mechanisms underlying these improvements are still unclear. This study explored whether reduced abstinence periods could improve semen quality, particularly for use in assisted reproductive technologies (ART). We analyzed semen samples from men with normal sperm counts ( n = 101) and those with low sperm motility or concentration ( n = 53) after 3-7 days of abstinence and then after 1-3 h of abstinence, obtained from the Reproductive & Genetic Hospital of CITIC-Xiangya (Changsha, China). Physiological and biochemical sperm parameters were evaluated, and the dynamics of transfer RNA (tRNA)-derived fragments (tRFs) were analyzed using deep RNA sequencing in five consecutive samples from men with normal sperm counts. Our results revealed significant improvement in sperm motility and a decrease in the DNA fragmentation index after the 1- to 3-h abstinence period. Additionally, we identified 245 differentially expressed tRFs, and the mitogen-activated protein kinase (MAPK) signaling pathway was the most enriched. Further investigations showed significant changes in tRF-Lys-TTT and its target gene mitogen-activated protein kinase kinase 2 ( MAP2K2 ), which indicates a role of tRFs in improving sperm function. These findings provide new insights into how shorter abstinence periods influence sperm quality and suggest that tRFs may serve as biomarkers for male fertility. This research highlights the potential for optimizing ART protocols and improving reproductive outcomes through molecular approaches that target sperm function.
Male
;
Humans
;
Spermatozoa/metabolism*
;
RNA, Transfer/genetics*
;
Sperm Motility/genetics*
;
Adult
;
Semen Analysis
;
Sexual Abstinence/physiology*
;
Sperm Count
;
DNA Fragmentation
6.Efficacy of volume-guaranteed high-frequency oscillatory ventilation in preterm infants with respiratory distress syndrome and its impact on cerebral blood flow in the middle cerebral artery.
Yue-Yi WANG ; Xue-Xu WEI ; Hai-Wei YIN ; Hong-Bin ZHU
Chinese Journal of Contemporary Pediatrics 2025;27(3):286-292
OBJECTIVES:
To investigate the efficacy of volume-guaranteed high-frequency oscillatory ventilation (HFOV-VG) in preterm infants with respiratory distress syndrome (RDS) and its impact on blood flow in the middle cerebral artery (MCA).
METHODS:
A prospective study was conducted on 120 preterm infants with RDS who were admitted to the Department of Neonatology at Qinhuangdao Maternal and Child Health Hospital from March 2020 to December 2023. According to the mode of ventilation, the infants were divided into two groups: a conventional mechanical ventilation (CMV) group (60 infants) and an HFOV-VG group (60 infants). The two groups were compared in terms of baseline data, MCA hemodynamic parameters, complications, and outcomes.
RESULTS:
Compared with the CMV group, the HFOV-VG group had significantly shorter durations of mechanical ventilation and hospital stay and a significantly higher overall response rate (P<0.05). The HFOV-VG group demonstrated significantly better peak systolic velocity, end-diastolic velocity, and mean flow velocity (P<0.05). The HFOV-VG group also exhibited significantly lower 28-day mortality rates and lower incidence rates of bronchopulmonary dysplasia and intraventricular hemorrhage than the CMV group (P<0.05).
CONCLUSIONS
HFOV-VG can effectively improve cerebral blood perfusion, reduce cerebrovascular resistance, shorten the durations of mechanical ventilation and hospital stay, and enhance overall treatment efficacy. It has significant advantages in reducing the risk of 28-day mortality, bronchopulmonary dysplasia, and intraventricular hemorrhage in preterm infants with RDS.
Humans
;
High-Frequency Ventilation/adverse effects*
;
Infant, Newborn
;
Respiratory Distress Syndrome, Newborn/physiopathology*
;
Female
;
Middle Cerebral Artery/physiology*
;
Male
;
Prospective Studies
;
Cerebrovascular Circulation
;
Infant, Premature
7.Factors influencing very preterm birth at less than 32 weeks of gestation: a multicenter retrospective study.
Hong-Juan WANG ; Rena MAIMAITI ; Yan-Ping ZHU ; Yu-Jun ZHANG ; Hai-Li LI ; Areziguli ABUDULA ; Ying LI
Chinese Journal of Contemporary Pediatrics 2025;27(9):1050-1056
OBJECTIVES:
To explore the influencing factors for very preterm birth at a gestational age of <32 weeks in the Xinjiang Uygur Autonomous Region.
METHODS:
Clinical data of women with preterm deliveries and their newborns admitted to five hospitals in Xinjiang from January 2023 to December 2024 were retrospectively collected. The subjects were divided by gestational age into very preterm (<32 weeks of gestation) and moderate/late preterm (32-36+6 weeks of gestation) groups. Risk factors associated with very preterm birth were analyzed.
RESULTS:
A total of 4 105 pregnant women with preterm deliveries were included, with 793 cases (19.32%) in the very preterm group and 3 312 cases (80.68%) in the moderate/late preterm group. The factors significantly associated with very preterm birth were as following: hypertensive disorders of pregnancy (OR=1.785, 95%CI: 1.492-2.135, P<0.05), excessive gestational weight gain (GWG, OR=2.002, 95%CI: 1.672-2.397, P<0.05), insufficient GWG (OR=1.746, 95%CI: 1.326-2.300, P<0.05), chorioamnionitis (OR=2.163, 95%CI: 1.694-2.763, P<0.05), premature rupture of membranes ≥18 hours (OR=2.158, 95%CI: 1.599-2.912, P<0.05), placental abruption (OR=2.228, 95%CI: 1.646-3.014, P<0.05), and ≤7 prenatal visits (OR=3.419, 95%CI: 2.882-4.055, P<0.05).
CONCLUSIONS
In the Xinjiang Uygur Autonomous Region, hypertensive disorders of pregnancy, excessive or insufficient GWG, chorioamnionitis, premature rupture of membranes ≥18 hours, placental abruption, and ≤7 prenatal visits are risk factors for very preterm birth. Strengthening high-risk pregnancy management is necessary for reducing the incidence of very preterm birth.
Humans
;
Female
;
Retrospective Studies
;
Pregnancy
;
Premature Birth/etiology*
;
Gestational Age
;
Adult
;
Risk Factors
;
Infant, Newborn
;
Gestational Weight Gain
8.The Biological Activity of Human Milk Oligosaccharides
Hai-Zhu WANG ; Chun-Cui HUANG ; Yan LI
Progress in Biochemistry and Biophysics 2025;52(10):2462-2473
Human milk is universally recognized as the optimal and most natural source of nutrition for newborns, offering benefits that extend far beyond basic energy and macronutrient provision. Among its complex constituents, human milk oligosaccharides (HMOs) represent the third most abundant solid component, surpassed only by lactose and lipids. HMOs are distinguished by their exceptionally high structural diversity—over 200 distinct structures have been identified to date. This structural complexity underlies the extensive biological functions HMOs perform within the infant’s body. HMOs play a pivotal role in promoting healthy growth, development, and overall well-being in infants and young children, functioning as indispensable bioactive molecules. Their key physiological activities include: immunomodulation and allergy prevention by promoting immune tolerance and reducing the risk of allergic diseases; potent anti-inflammatory and antioxidant effects that protect vulnerable infant tissues; support for brain development and cognitive enhancement through multiple mechanisms; anti-pathogenic properties, acting as soluble receptor analogs or “decoy” molecules to competitively block viral, bacterial, and other pathogen adhesion, thereby preventing colonization and infection in the gastrointestinal tract; and functioning as blood group substances. At the translational and application level, HMO research is actively driving cross-disciplinary innovation. Building on a deep understanding of their immunological and neurodevelopmental benefits, certain structurally defined HMOs have been successfully incorporated into infant formula. These HMO-supplemented formulas have received regulatory approval and are now commercially available worldwide, providing a nutritional alternative that more closely resembles human milk for infants who are not exclusively breastfed. This represents a significant step toward narrowing the compositional gap between formula and breast milk. Simultaneously, research into the symbiotic relationship between HMOs and the gut microbiota—particularly their role as selective prebiotic substrates promoting the growth of beneficial bacteria—has catalyzed the development of novel functional foods, dietary supplements, and microbiome-targeted therapies. These include advanced synbiotic formulations that combine specific probiotic strains with HMOs to synergistically optimize gut health and function. Furthermore, the intrinsic qualities of HMOs—including their natural origin, safety profile, biocompatibility, and proven antioxidant properties—have attracted growing interest in the emerging field of high-performance cosmetics. They are increasingly being explored as innovative functional ingredients in skincare products aimed at reducing oxidative stress and supporting skin health. This review aims to systematically synthesize recent advancements in HMO research, offering a comprehensive analysis centered on their complex composition and structural diversity; the molecular and cellular mechanisms underlying their diverse biological functions; their translational potential across sectors such as nutrition, medicine, and consumer care (including cosmetics); and the major challenges that persist in the field. It critically examines both foundational discoveries and recent breakthroughs. By integrating these interconnected themes, the review provides a holistic and up-to-date perspective on the scientific landscape of HMOs, highlighting their essential role in early-life nutrition and their expanding relevance across health and wellness applications. It also outlines promising directions for future research, with the goal of advancing evidence-based innovation in infant health and beyond.
9.Diagnostic Techniques and Risk Prediction for Cardiovascular-kidney-metabolic (CKM) Syndrome
Song HOU ; Lin-Shan ZHANG ; Xiu-Qin HONG ; Chi ZHANG ; Ying LIU ; Cai-Li ZHANG ; Yan ZHU ; Hai-Jun LIN ; Fu ZHANG ; Yu-Xiang YANG
Progress in Biochemistry and Biophysics 2025;52(10):2585-2601
Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.
10.Comparative analysis of four risk assessment methods for benzene homologues exposure at key work sites in the automobile manufacturing industry
Lin CHEN ; Danping DUAN ; Zibo CEN ; Peixian CHEN ; Shaofang ZHU ; Hai ZHANG
China Occupational Medicine 2025;52(2):160-165
Objective To explore the applicability of four risk assessment methods in evaluating occupational health risks associated with low-level benzene homologues exposure in key work sites within the automobile manufacturing industry. Methods The work sites (paint mixing and spray painting) with exposure to benzene homologues among six automobile manufacturing enterprises in Guangdong Province were selected as the study subjects using the judgmental sampling method. Qualitative risk assessment, exposure index method, non-carcinogenic risk assessment, and the International Council on Mining and Metals risk rating method were independently applied to evaluate the occupational health risks of benzene homologues at these work sites. Accuracy, consistency, and correlation of the four methods were compared. Results The air levels of benzene, toluene, xylene, and ethylbenzene in work sites of paint mixing and spray painting across all six enterprises met national occupational health standards. The median ratios of occupational exposure limits for benzene and toluene in spray painting site were higher than those in paint mixing site (0.017 vs 0.010, P<0.05). Using this ratio as a reference for evaluating method accuracy, the non-carcinogenic risk assessment method could distinguish paint mixing site from spray painting site in terms of risk level (P<0.05), whereas the other three methods could not (both P>0.05). The result of consistency testing revealed that the Kappa coefficients between the four methods ranged from -0.13-0.26, indicating poor consistency. The result of Spearman correlation analysis showed that the non-carcinogenic risk assessment and exposure index methods had higher correlation with occupational exposure limits ratios (Spearman correlation coefficients were 0.501 and 0.656, respectively, all P<0.05). Conclusion Occupational health risk assessment can serve as a supplementary tool to evaluate the hazard level of key work sites in the automobile manufacturing industry. Non-carcinogenic risk assessment shows higher accuracy.


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