Older adults in nursing homes generally face psychological adaptation problems such as depression and anxiety. This study aimed to identify social relationship profiles among nursing home residents an Show more
Older adults in nursing homes generally face psychological adaptation problems such as depression and anxiety. This study aimed to identify social relationship profiles among nursing home residents and explore their associations with depression and anxiety. A cross-sectional study was conducted between June and October 2023 among 1108 older residents from 42 nursing homes in Fujian Province, China. Social relationships were assessed using the Social Support Rating Scale (SSRS) and the Lubben Social Network Scale-6 (LSNS-6). Depressive-anxiety symptoms were measured using the Geriatric Depression Scale-Short Form and the Self-Rating Anxiety Scale (SAS), respectively. Latent Profile Analysis (LPA) was performed to identify distinct social relationship profiles, and ANOVA/ANCOVA were used to examine differences in depression and anxiety across profiles. The LPA analysis identified six distinct social relationship profiles. The "Low social support/low social network group" (24.7%) was the most prevalent, showing significantly higher levels of depression and anxiety compared to the others. The "Moderate social support/moderate friend network group" (20.9%) demonstrated an intermediate and balanced social relationship characteristic. When compared to the "Moderate-low social support/high friend network group" (8.1%) and the "Moderate-high social support/low friend network group" (18.1%), despite these two groups scoring higher or above-average in specific dimensions of social support or friend network, they still showed higher levels of depression than the "High social support/high social network group" (15.1%) and the "High social support/super high social network group" (13.1%). Social relationship profiles among nursing home residents are heterogeneous and significantly associated with depressive-anxiety symptoms. Show less
To explore the latent profiles of self-stigma and their relationship with meaning in life among individuals with substance use disorders(SUDs). A total of 1001 participants were recruited from six dru Show more
To explore the latent profiles of self-stigma and their relationship with meaning in life among individuals with substance use disorders(SUDs). A total of 1001 participants were recruited from six drug rehabilitation centers in Sichuan Province between July and August 2025 and completed the self-stigma Scale for Drug Addicts (SSSDA) and the Meaning in Life Questionnaire (MLQ). Latent profile analysis (LPA) was used to identify latent profiles of self-stigma. Multinomial logistic regression was employed to analyze influencing factors, and analysis of variance (ANOVA) was used to compare differences in meaning in life across the different profiles. The self-stigma of individuals with SUDs can be categorized into four latent profiles: the "stigma-resistant profile"(10.0%), "moderate stigma-concealment profile"(46.3%), "internalized stigma profile"(19.5%), and "low internalization-adaptation profile"(24.3%). Among these, the "moderate stigma-concealment profile", "internalized stigma profile", and "low internalization-adaptation profile" represent categories with higher levels of self-stigma. Risk factors associated with these profiles include male sex, low income, a history of being left-behind children, low social support, multiple rehabilitation attempts, as well as mental illness or HIV infection. Statistically significant differences were found among the four profiles in the total score of meaning in life and its sub-dimensions-presence of meaning and search for meaning (p < 0.001). The "stigma-resistant profile" presented the highest level of MIL, whereas the "internalized stigma profile" presented the lowest level. Significant heterogeneity exists in self-stigma among individuals with substance use disorders (SUDs), and the level of self-stigma is significantly negatively correlated with MIL. Show less
The quality of informal care for people with dementia (PwD) has gained increasing importance, as most PwD prefer home-based care over institutional placement. However, evidence-based intervention prog Show more
The quality of informal care for people with dementia (PwD) has gained increasing importance, as most PwD prefer home-based care over institutional placement. However, evidence-based intervention programs tailored to distinct care quality profiles remain limited. Additionally, the absence of clear thresholds to identify PwD receiving low-quality informal care poses a challenge for research and clinical practice. Thus, this study aimed to identify the profiles of quality of care (QoC) among informal caregivers of PwD, explore influencing factors of different profile, and determine the optimal cut-off score of the Exemplary Care Scale (ECS). A cross-sectional survey was conducted. A total of 213 dyads of PwD and their informal caregivers were recruited from memory clinic, rehabilitation clinic, and neurological clinic of a tertiary hospitals and communities in Wuhan, Hubei, China, between July 15, 2023, and July 14, 2024. Latent profile analysis (LPA) was employed to identify QoC profiles. Multinomial logistic regression was performed to explore influencing factors of profile membership. Receiver Operating Characteristic (ROC) analysis was conducted to determine the ECS cut-off score. Three distinct QoC profiles were identified: high (24.41%), moderate (44.60%), and low (30.99%). Among informal caregivers, lower monthly income, insufficient social support, and higher perceived overload were associated with low QoC profile, whereas, better quality of pre-illness relationship with PwD and greater activities of daily living (ADL) of PwD were associated with high QoC. ROC analysis yielded an optimal ECS cut‑off score of 15, with high sensitivity (0.993) and specificity (0.955). This study identified three distinct QoC profiles among caregivers of PwD, underscoring the heterogeneity of informal care quality. The identified predictors and the validated ECS cut‑off score of 15 provide an empirical basis for developing tailored screening tools and targeted interventions for high‑risk caregiver subgroups. Show less
This study employs latent profile analysis (LPA) to identify potential categories of nurse burnout and to analyze differences in characteristics and influencing factors across burnout categories. From Show more
This study employs latent profile analysis (LPA) to identify potential categories of nurse burnout and to analyze differences in characteristics and influencing factors across burnout categories. From June to August 2025, a mixed sampling approach combining convenience and snowball sampling was used to recruit nurses from hospitals of varying levels in Southwest China. Three tools were used for data collection: A self-designed routine information questionnaire, Maslach Burnout Inventory-General Survey (MBI-GS) and Practice Environment Scale of the Nursing Work Index (PES-NWI), LPA identifies potential categories of nurses' professional burnout and uses multivariate logistic regression analysis to explore the factors associated with these categories. This study comprised a total of 809 participants. LPA identified four distinct latent classes of nursing burnout: Class 1, low-burnout-high-efficacy (11.5%); Class 2, mild-burnout-unfulfilled (33.9%); Class 3, moderate-burnout-exhausted (44.6%); and Class 4, severe-burnout-dysfunctional (10.0%). Multivariate logistic regression analysis showed that age, years of work experience, hospital level, nurses' participation in hospital management, nursing quality standards, staffing and resource adequacy, and medical care cooperation are significant predictors of burnout among nurses ( Nurse burnout in southwest China is mainly moderate to severe and exhibits distinctive characteristics. It is recommended to implement personalized interventions tailored to the specific characteristics of nurses' professional burnout to alleviate the situation. Particular attention should be given to nurses with fewer than five years of experience by providing enhanced job support and psychological assistance to help them navigate critical periods of professional burnout. These measures aim to safeguard nurses' physical and mental health, improving the overall quality of nursing, and promoting the healthy development of global medical care. Show less
Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-inte Show more
Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) as mutually constrained components of daily time use and may inform frailty prevention and management. This scoping review maps evidence on associations between 24HMB and frailty and identifies methodological gaps to inform future research and nursing practice. This review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and follows Joanna Briggs Institute (JBI) guidance. We searched PubMed, Embase, CINAHL, and Web of Science. We included observational studies of adults aged ≥18 years. Exposures were objectively measured or validated self-reported sleep, SB, LPA, and MVPA, including step counts, breaks in SB, isotemporal substitution models (ISM), and compositional data analysis (CoDA). Outcomes were frailty or prefrailty assessed using validated instruments. Quality was appraised with JBI tools. Thirty-three studies showed good methodological quality. Longer SB, particularly prolonged, uninterrupted bouts, was associated with higher frailty. Greater MVPA was consistently associated with lower frailty. Light-intensity physical activity was generally beneficial but often attenuated when MVPA or total activity volume was modeled. Sleep fragmentation and poor sleep quality were associated with frailty. Isotemporal substitution models and compositional data analysis indicated that reallocating sedentary time to MVPA would yield the largest theoretical benefit, followed by reallocating to LPA. Higher daily step counts and more frequent or higher-intensity breaks in SB were associated with lower frailty. Evidence supports a 24-h integrated movement-behavior approach centered on MVPA, combined with reducing prolonged SB and improving sleep quality, for the prevention and nursing management of frailty. The study design and analytical protocol were prospectively registered on the Open Science Framework (OSF). The unique identifier is S39Y4, and the publicly accessible URL is https://doi.org/10.17605/OSF.IO/S39Y4. Show less
To ascertain the level of psychological resilience, examine the latent profiles of individuals within infertile couples who experience recurrent implantation failure (RIF), identify the relevant influ Show more
To ascertain the level of psychological resilience, examine the latent profiles of individuals within infertile couples who experience recurrent implantation failure (RIF), identify the relevant influencing factors, and lay a foundation for developing customized intervention strategies. Convenience sampling was adopted in this study. Participants were selected from individuals in infertile couples with RIF who attended the Second West China Hospital of Sichuan University between November 2024 and July 2025. Data were collected via a general information questionnaire and validated scales assessing psychological resilience, social support, sleep quality, family adaptability and cohesion, anxiety, and depression. Latent profile analysis (LPA) was performed to explore the psychological resilience profiles of individuals with RIF, while univariate analysis and multivariate Logistic regression analyses were employed to identify the influencing factors associated with different profile categories. A total of 303 valid questionnaires were collected, including 194 from females and 109 from males. The overall psychological resilience score was (26.66 ± 6.319). Latent profile analysis categorized psychological resilience into three subgroups: the low tenacity-low strength subgroup (31.4%), the moderate tenacity-moderate strength subgroup (53.1%), and the high tenacity-high strength subgroup (15.5%); Multivariate Logistic regression analysis indicated that gender, family adaptability and depression severity (all Marked interindividual heterogeneity exists in the psychological resilience of individuals with RIF. Gender, family adaptability and depression severity serve as the core influencing factors. In clinical practice, stratified and targeted interventions should be delivered according to distinct psychological resilience subgroups. It yields clinical implications for an association between improved psychological resilience among individuals from couples with RIF and enhanced treatment adherence. Show less
Kuiliang Li, Lei Ren, Rui Lang+7 more · 2026 · Stress and health : journal of the International Society for the Investigation of Stress · Wiley · added 2026-04-24
Compared with non-left-behind children (NLBC), left-behind children (LBC) face a higher risk of academic stress, depression, and anxiety symptoms due to separation from their parents; however, the het Show more
Compared with non-left-behind children (NLBC), left-behind children (LBC) face a higher risk of academic stress, depression, and anxiety symptoms due to separation from their parents; however, the heterogeneity of academic stress profiles and their relationships with the symptom network remain insufficiently explored. To address this gap, a cross-sectional survey of 10,524 Chinese children compared LBC (n = 2487) and NLBC. Latent profile analysis (LPA) was first conducted to identify academic stress subgroups among LBC. Subsequently, depression-anxiety symptom networks were estimated using Ising and Gaussian graphical models (GGM), with edge weights derived from regularised logistic regression (Ising) and partial correlation (GGM). Simulated interventions were further evaluated via the NodeIdentifyR algorithm (NIRA). Overall, compared to NLBC, LBC exhibited higher levels of academic stress, depression, and anxiety (ps < 0.001, Cliff's δ = 0.076; Cohen's d = 0.067). LPA revealed three academic stress subgroups: moderate (31.44%), high (9.17%), and low (59.39%). The severity of depression and anxiety symptoms increased with the level of academic stress. The high stress subgroup displayed a sparse network with stronger edges (e.g., A1 'Sudden Fear'-A4 'Physical Symptoms', edge weight = 2.10) compared to moderate- and low-academic stress subgroups. Core nodes with the strongest expected influence were A8 ('Decision Hesitation', moderate subgroup), A2 ('Worry', high subgroup), and D1/D6 ('Sadness' and 'Failure', low subgroup). Simulated interventions indicated that alleviating A8 'Decision Hesitation' or A2 'Worry' most effectively reduced symptom risk (16.66%-30.76%), whereas D8 'Motor' and A7 'Early Departure' were associated with maximal symptom aggravation. Taken together, by integrating LPA-derived academic stress profiles with symptom network analysis, this study reveals distinct symptom associations across subgroups. In the high stress subgroup, symptom A2 ('Worry') is a core intervention target; in the low stress subgroup, A7 ('Early Departure') holds preventive potential. These findings underscore subgroup-specific interventions tailored to individual stress profiles. Show less
Given that abnormal lipid metabolism is a hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD), this study seeks to investigate the relationship between serum lipoprotein(a) [L Show more
Given that abnormal lipid metabolism is a hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD), this study seeks to investigate the relationship between serum lipoprotein(a) [Lp(a)] levels and the progression or regression of MASLD. A total of 12,962 participants undergoing transient elastography at the Health Promotion Center of the First Affiliated Hospital of Nanjing Medical University were included in the first cross-sectional study (Study 1). The longitudinal study (Study 2) included 17,661 individuals from the same center, each with at least two health check-ups involving abdominal ultrasonography. Another cross-sectional study (Study 3) included 5,927 individuals from the UK Biobank cohort who had undergone both magnetic resonance imaging proton density fat fraction (MRI-PDFF) and Lp(a) testing. Cross-sectional analysis (Study 1) revealed that elevated Lp(a) levels were inversely correlated with the severity of both hepatic steatosis and fibrosis. Longitudinal data (Study 2) further demonstrated that baseline serum Lp(a) levels were decreased in participants with the incident of MASLD, while increased in participants with the regression of MASLD during the follow-up period. A lower baseline Lp(a) level was an independent factor for new-onset MASLD and non-regression of MASLD: the fully adjusted hazard ratios (HR) were 0.895 (95%CI 0.834-0.962, Serum Lp(a) levels are inversely associated with both the progression and regression of MASLD, indicating its potential role in reflecting disease dynamics. Show less
This study aimed to explore the association between serum lipoprotein(a) [Lp(a)] levels and recurrent acute coronary syndrome (ACS) and revascularization of target lesions in patients with ACS who sho Show more
This study aimed to explore the association between serum lipoprotein(a) [Lp(a)] levels and recurrent acute coronary syndrome (ACS) and revascularization of target lesions in patients with ACS who showed no functional ischemia on fractional flow reserve (FFR) testing during coronary angiography (CAG). The retrospective observational study was conducted at the General Hospital of Northern Theater Command and included 513 patients with new ACS recruited from 23 February 2016 to 6 November 2023 and followed up. These patients underwent CAG examination and were found to have at least one coronary artery with moderate or greater stenosis, and also underwent FFR measurement with FFR value >0.80. Patients experienced recurrent ACS and underwent unplanned revascularization were defined as the revascularization group, while patients did not experience recurrent ACS and undergo unplanned revascularization were assigned to the no revascularization group. The study employed propensity score matching (PSM) and receiver operating characteristic (ROC) curve analysis to evaluate the correlation between serum Lp(a) and recurrent ACS and unplanned revascularization in target lesion with FFR value >0.80. Serum Lp(a) levels were higher in female patients. There were no statistically significant differences in the basic clinical characteristics, medication use, laboratory test results or ejection fraction values between the two groups. During a average follow-up of 6.5 years, 119 patients (23.2%) experienced recurrent ACS and unplanned revascularization in the target lesion. The level of serum Lp(a) in the patients that underwent unplanned revascularization was significantly higher than in the group that did not undergo repeated revascularization (65.80 mmol/L vs. 60.57 mmol/L, Serum Lp(a) is an independent risk factor for recurrent ACS and unplanned revascularization in patients with ACS and FFR negative plaque. Show less
It remains unclear if Yes-associated protein (YAP) is involved in the protection of melatonin against myocardial ischemia/reperfusion (I/R) injury by regulating mitochondrial fission. In this experime Show more
It remains unclear if Yes-associated protein (YAP) is involved in the protection of melatonin against myocardial ischemia/reperfusion (I/R) injury by regulating mitochondrial fission. In this experiment, an in vivo myocardial I/R injury model was used. Animals were randomly assigned to receive the different interventions: Sham, I/R, 10 mg melatonin, 20 mg melatonin, lysophosphatidic acid (LPA, a YAP agonist), LPA + melatonin, verteporfin (a YAP antagonist) and verteporfin + melatonin. Myocardial infarct size and serum cardiac enzyme levels were measured. Histopathological features, mitochondrial morphology, malondialdehyde (MDA) and superoxide dismutase (SOD) levels, apoptosis, and dynamic-related protein 1 (DRP1) and YAP expressions of the I/R myocardium were also evaluated. We observed that melatonin postconditioning significantly reduced myocardial infarct size, ameliorated histological changes, and decreased oxidative stress and apoptosis in the I/R myocardium. These protective effects were associated with enhanced YAP nuclear translocation, increased p-DRP1 Ser637 expression and decreased p-DRP1 Ser616 expression. Activation of YAP with LPA demonstrated a protective effect against myocardial I/R injury, while inhibition of YAP with verteporfin exacerbated myocardial I/R injury and significantly attenuated the protective effect of melatonin postconditioning against myocardial I/R injury. These findings suggest that melatonin postconditioning confers cardioprotection by activating YAP to preserve mitochondrial ultrastructure and attenuate excessive DRP1-mediated fission. These structural changes may contribute to the observed reduction in myocardial injury. While these findings identify YAP activation as a potential therapeutic target, the limited dose range tested precludes determination of an optimal cardioprotective dose. Further studies defining the full dose-response relationship are still necessary to inform potential clinical translation. Show less
The 24-h movement behavior framework includes all physical activity (PA), sedentary behavior (SB), and sleep as interdependent components of a full day. While evidence highlights the benefits of highe Show more
The 24-h movement behavior framework includes all physical activity (PA), sedentary behavior (SB), and sleep as interdependent components of a full day. While evidence highlights the benefits of higher PA, lower SB, and adequate sleep for health, the combined effects of these behaviors on mental and physical health remain unclear. This systematic review will explore the associations between 24-h movement behavior compositions and mental and physical health outcomes, providing insights for developing balanced movement behavior guidelines. This systematic review will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guideline. PubMed, PsycINFO, Embase, Web of Science, and Sport Discus will be searched for studies published between 2015 and 2025. Eligible studies must report 24-h movement behavior metrics-the composition of time allocated to sleep, sedentary behavior, light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). Included studies must also examine at least one mental (e.g., depression, anxiety) or physical (e.g., BMI, systolic blood pressure, all-cause mortality) health outcome. For each study, we will extract the time allocated to each behavior and effect estimates with 95% CIs (e.g., percent change in BMI, odds ratios for depression, hazard ratios for mortality) to quantify the magnitude and direction of associations. Screening, data extraction, and quality assessment will be conducted independently by two reviewers. The quality of evidence for each outcome will be assessed using the GRADE approach. Due to expected heterogeneity in study designs, a meta-analysis will not be performed. Instead, a structured narrative synthesis will be presented, stratified by age group and health condition, to summarize findings and identify key research gaps. The proposed systematic review will be the first to comprehensively review how combinations of PA, SB, and sleep are associated with mental and physical health using compositional data analysis. By emphasizing the interdependent nature of 24-h movement behaviors, the findings will provide a clearer understanding of how time spent among these behaviors influences health outcomes. The review aims to support evidence-based recommendations for optimizing daily movement behavior patterns to improve health across diverse populations. PROSPERO (CRD42023445730). Show less
Elevated lipoprotein(a) [Lp(a)] levels are an established risk factor for atherosclerotic cardiovascular disease, but the association between Lp(a) and venous thromboembolism (VTE) remains unclear. Se Show more
Elevated lipoprotein(a) [Lp(a)] levels are an established risk factor for atherosclerotic cardiovascular disease, but the association between Lp(a) and venous thromboembolism (VTE) remains unclear. Sex and hormonal status may modify the relationship between Lp(a) and VTE. The present study included participants from the UK Biobank with available baseline Lp(a) data. Individuals with a history of VTE or cancer, as well as those using anticoagulants, were excluded. Multivariable-adjusted Cox models were used to assess the association between Lp(a) levels ≥ 125 nmol/L and incident VTE in premenopausal women, postmenopausal women, and men. Subgroup analyses stratified premenopausal women by oral contraceptive (OCP) use and postmenopausal women by menopausal hormone therapy (MHT) use. Among 55 302 premenopausal women, 129 045 postmenopausal women, and 189 013 men, the proportions with Lp(a) ≥ 125 nmol/L were 14.0%, 19.0%, and 15.0%, respectively. Over a median (interquartile range) follow-up of 13.6 (12.9-14.4) years, 8186 VTE events occurred (cumulative incidence 2.2%). Lp(a) ≥ 125 nmol/L was associated with incident VTE in premenopausal women [adjusted hazard ratio (aHR) 1.32; 95% confidence interval (CI) 1.04-1.66; P = 0.02] but not in postmenopausal women (aHR 1.03; 95% CI 0.94-1.13; P = 0.47; Pinteraction = 0.03) or men (aHR 1.00; 95% CI 0.92-1.08; P = 0.94). OCP use did not modify the Lp(a)-VTE association among premenopausal women (Pinteraction = 0.61). However, among postmenopausal MHT users, Lp(a) ≥ 125 nmol/L was associated with higher VTE risk (aHR 1.48; 95% CI 1.03-2.12; P = 0.03; Pinteraction = 0.04). Elevated Lp(a) was associated with VTE in premenopausal women and in postmenopausal MHT users, suggesting that hormonal context may influence Lp(a)- associated thrombotic risk. Show less
The pathogenesis of aortic aneurysm (AA) remains unclear, and there are no effective therapeutic drugs or targets. Circulating plasma proteins are considered biomarkers of AA and potential therapeutic Show more
The pathogenesis of aortic aneurysm (AA) remains unclear, and there are no effective therapeutic drugs or targets. Circulating plasma proteins are considered biomarkers of AA and potential therapeutic targets for AA. This study aimed to systematically evaluate the causal effects of plasma proteins on AA using a multi-cohort Mendelian randomization (MR) approach. Protein quantitative trait loci (pQTLs) was obtained from 9 published proteome genome-wide association studies (GWAS) and AA GWAS data from the FinnGen cohort. Independent pQTLs were selected as instrumental variables (IVs). Two-sample MR analysis was performed using inverse-variance weighted, MR-Egger regression, weighted median, weighted mode, and simple mode methods. Heterogeneity and pleiotropy were assessed using Cochran's Q test, I A total of 8,285 pQTLs for 4,421 proteins were retained as IVs. Using cis-pQTLs for IVs,MR analysis identified 154 proteins associated with thoracic aortic aneurysm (TAA; 76 protective and 78 risk factors) and 211 proteins with abdominal aortic aneurysm (AAA; 112 protective and 99 risk factors) Using cis-pQTLs combined with trans-pQTLs as IVs, MR analysis identified 236 proteins associated with TAA and 309 proteins with AAA. A subset of these associations survived FDR correction (FDR < 0.05), representing the most robust findings. Comparison of the TAA and AAA proteomic profiles revealed both shared proteins (e.g., AHSG, MMP7, RARRES2, THBS2, CCL25) and condition-specific proteins (e.g., OVCA2, STAT3, and HPSE for TAA; PLAU, LPA, SERPING1, and SMPDL3A for AAA), reflecting the distinct embryonic origins and pathological drivers of these two conditions. Steiger filtering confirmed the expected direction of effect from circulating proteins to AA. Colocalization analysis found evidence of shared causal variants between multiple proteins and AA. Pathway enrichment analysis revealed involvement in stress response, immune regulation, cytokine-cytokine receptor interaction, and metabolic processes. Nearly two-thirds of the associated proteins were classified as druggable or potentially druggable targets. This study identified a large number of potentially novel pathogenic proteins and therapeutic targets for AA, providing important references for elucidating the molecular pathogenesis of AA and advancing drug development. These findings warrant further validation through experimental studies and prospective clinical investigations. Show less
To describe the network structure and heterogeneity of symptom burden in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI), and to examine factors associated w Show more
To describe the network structure and heterogeneity of symptom burden in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI), and to examine factors associated with different symptom burden profiles to inform risk-stratified management after PCI. A convenience sample of 261 patients with ACS who underwent PCI at a tertiary hospital in Chongqing between November 2024 and August 2025 was recruited. Data were collected using a demographic questionnaire, the Cardiac Symptom Survey, and the Seattle Angina Questionnaire. Network analysis was conducted to identify inter-symptom associations and the structural characteristics of the symptom network. Latent profile analysis (LPA) was performed to classify symptom burden patterns, and multinomial logistic regression analysis was used to explore factors associated with profile membership. Network analysis indicated that depression was the most central symptom (strength Symptom burden in patients with ACS after PCI demonstrates substantial individual heterogeneity. Depression occupies a central position within the symptom network, and BMI is associated with moderate and high symptom burden profiles. These findings suggest that integrating symptom network characteristics and BMI status into post-PCI assessment may facilitate risk-stratified management and targeted psychological and weight-related interventions to improve recovery outcomes. Show less
This study employed a person-centered approach to identify latent profiles of academic burnout among Chinese university students and to examine the associations between academic burnout profiles and s Show more
This study employed a person-centered approach to identify latent profiles of academic burnout among Chinese university students and to examine the associations between academic burnout profiles and smartphone addiction, sleep quality, and mindfulness. A sample of 2,948 Chinese university students was recruited to complete measures of academic burnout, smartphone addiction, sleep quality, and mindfulness. Latent profile analysis (LPA) was used to identify distinct burnout profiles, and multinomial logistic regression was used to analyze factors associated with profile membership. Three distinct profiles of academic burnout were identified: a Low Burnout profile (18.15%), a Medium Burnout profile (50.88%), and a High Burnout profile (30.97%). The profiles differed significantly on all correlates, with the high burnout group exhibiting the most severe smartphone addiction, the poorest sleep quality, and the lowest mindfulness. Regression analysis revealed that higher smartphone addiction and poorer sleep quality were significantly associated with membership in the Medium and High Burnout profiles relative to the Low Burnout profile, whereas higher mindfulness was significantly associated with lower likelihood of belonging to higher burnout profiles. Academic burnout among Chinese university students is a heterogeneous experience, with a majority falling into an at-risk or intermediate state. Smartphone addiction, poor sleep, and low mindfulness are associated with higher burnout risk. These findings highlight the need for universities to develop targeted, profile-based interventions to provide precise and effective mental health support. However, due to the cross-sectional design, causal relationships cannot be inferred. Show less
This study aims to identify distinct mindfulness profiles among young and middle-aged lymphoma patients and to examine the mediating role of psychological resilience in the relationship between these Show more
This study aims to identify distinct mindfulness profiles among young and middle-aged lymphoma patients and to examine the mediating role of psychological resilience in the relationship between these mindfulness profiles and social function deficits. From November 2024 to June 2025, a total of 324 young and middle-aged lymphoma patients were recruited using convenience sampling from a tertiary cancer hospital in Urumqi, Xinjiang, China. Participants completed the Mindful Attention Awareness Scale, the 10-item Connor-Davidson Resilience Scale, and the Social Dysfunction Screening Scale. We used latent profile analysis (LPA) to identify distinct mindfulness profiles and tested the mediating role of psychological resilience with the Bootstrap method. Latent profile analysis identified three distinct mindfulness profiles among the patients: a low mindfulness type (29.3%), a moderate mindfulness type (40.1%), and a high mindfulness type (30.6%). Furthermore, psychological resilience partially mediated the relationship between these mindfulness profiles and social function deficits. Young and middle-aged lymphoma patients exhibit heterogeneous mindfulness profiles. Higher mindfulness can enhance psychological resilience, which in turn alleviates social function deficits. Therefore, healthcare providers should develop personalized interventions targeting psychological resilience based on patients' specific mindfulness profiles to improve their social function. Show less
This study aimed to investigate the current status of career calling among novice nurses, to identify potential subtypes and their population characteristics, and to further explore the factors associ Show more
This study aimed to investigate the current status of career calling among novice nurses, to identify potential subtypes and their population characteristics, and to further explore the factors associated with the different subtypes. A cross-sectional descriptive study was used. From January to February 2024, 845 novice nurses from 11 hospitals in Shanxi Province were selected for an online questionnaire survey using convenience sampling. The demographic questionnaire, transition shock of newly graduated nurses scale, medical staff resilience scale, and career calling scale were used as study instruments. Latent profile analysis (LPA) was used to explore the subtypes of novice nurses' career calling, and multifactorial logistic regression was used to analyze the related factors of novice nurses' career calling. Three subtypes of career calling of novice nurses in this study were identified, namely, lacking-calling group (10.3%), stable-calling group (50.0%), and sufficient-calling group (39.7%). Education, weekly working hours, weekly frequency of night shifts, reasons for choosing nursing, level of transition shock, and level of resilience were significantly associated with the three latent profiles of career calling of novice nurses in this study. Novice nurses' career calling presents 3 latent profiles and is heterogeneous in this study. Nursing administrators could pay attention to the differences in the level of career calling of novice nurses and adopt targeted management strategies based on the type of characteristics of the population in order to improve the level of career calling of novice nurses, help them develop their careers, and stabilize the nursing workforce. Show less
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile an Show more
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile analysis (LPA) classifies individuals into distinct subgroups via continuous FoP indicators, boosting classification accuracy by accounting for variable uncertainty. Given FoP's heterogeneity, investigating FoP profiles and their influencing factors in stroke patients is clinically significant for personalized psychological care and improved patient quality of life. A total of 366 stroke patients were selected as study subjects through convenience sampling, and a cross-sectional survey was conducted. FoP was assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF, 2 dimensions, 12 items). Independent variables included demographic characteristics, clinical indicators, the Recurrence Risk Perception Scale for Stroke patients (RRPSS), and the Medical Coping Modes Questionnaire (MCMQ). LPA was performed on the FoP-Q-SF items to identify subgroups. The R3STEP method was used to analyze influencing factors of subgroup membership, and the BCH method was applied to compare differences in distal outcomes across subgroups. Statistical significance was set at The study sample had a mean age of 63.93 ± 10.58 years, with 70.5% males and 65.0% first-ever stroke patients. Two latent profiles were identified: Low-FoP Adaptive Type (C1, 48.6%) and High-FoP Sustained Type (C2, 51.4%). The R3STEP showed that age 18-59 years (OR = 0.476, 95%CI = 0.245-0.924, This study revealed significant heterogeneity in FoP among stroke patients. Age, hypertension comorbidity, excessive recurrence risk perception, MCMQ-confrontation, and MCMQ-avoidance were associated with high FoP. Healthcare providers should prioritize identifying high-risk individuals and develop tailored interventions to reduce FoP and improve rehabilitation outcomes. Show less
Family members of patients with digestive tract cancer represent a high-risk population for cancer development due to shared genetic and lifestyle factors, yet their own disease self-monitoring behavi Show more
Family members of patients with digestive tract cancer represent a high-risk population for cancer development due to shared genetic and lifestyle factors, yet their own disease self-monitoring behaviors remain largely uncharacterized. Understanding the typologies and determinants of these behaviors is essential for precision prevention. A cross-sectional study was conducted among 414 family members of hospitalized patients with esophageal, gastric, or colorectal cancer in Sichuan Province, China (March-October 2023). Self-reported data were collected using validated questionnaires assessing socio-demographics, cancer risk perception, and digestive tract cancer self-monitoring behaviors. Latent profile analysis (LPA) was applied to identify subgroups of monitoring behaviors, and multinomial logistic regression was used to determine influencing factors. LPA revealed three distinct behavioral profiles: poor behavior group (47.10%), average behavior group (38.16%), and good behavior group (14.74%). The mean total self-monitoring score was 2.76 ± 0.69. Multivariate analysis showed that low educational level, family per capita monthly income ≤ 2000 CNY, and not living with patient were significant risk factors for poor monitoring behaviors. Conversely, having existing chronic disease and higher cancer risk perception were strongly associated with better monitoring performance. Nearly half of family members of digestive tract cancer patients exhibit insufficient self-monitoring of early symptoms. Education level, family per capita monthly income, cohabitation, comorbidity, and cancer risk perception are key determinants of behavioral heterogeneity. Tailored, risk-profile-based interventions that enhance risk awareness and promote regular screening are urgently needed to strengthen family-centered cancer prevention. Show less
Problematic mobile phone use (PMPU) has become a prominent public health concern among Chinese adolescents and emerging adults, yet prior research has largely relied on variable-centered approaches th Show more
Problematic mobile phone use (PMPU) has become a prominent public health concern among Chinese adolescents and emerging adults, yet prior research has largely relied on variable-centered approaches that overlook within-group heterogeneity and provide limited insight into multilevel mechanisms. To address these gaps, this study adopted an integrated analytic framework combining latent profile analysis (LPA), structural equation modeling (SEM), and psychological network analysis. A total of 2345 Chinese university students completed measures of alexithymia (TAS-20), social interaction anxiety (IAS), and PMPU (MPAI). LPA identified three distinct PMPU profiles: Low-risk (62.7%), moderate-risk (24.8%), and high-risk (12.5%). SEM results indicated that alexithymia was positively associated with PMPU in the overall sample, with social interaction anxiety partially mediating this association. Profile-specific analyses further showed that the indirect pathway was significant in the low-risk and moderate-risk profiles but not in the high-risk profile, in which only a direct effect emerged. Network analyses in the low- and moderate-risk groups revealed profile-specific central and bridge nodes, primarily IAS items, highlighting potential symptom targets linking alexithymia and PMPU. Overall, findings underscore meaningful heterogeneity in PMPU and support profile-tailored prevention and intervention strategies emphasizing emotion-processing skills and social anxiety reduction. Show less
Improving Internet addiction among nursing students is of great significance to the future development of the nursing industry. Previous studies have proved that childhood trauma is closely related to Show more
Improving Internet addiction among nursing students is of great significance to the future development of the nursing industry. Previous studies have proved that childhood trauma is closely related to Internet addiction. However, the direct relationship between alexithymia and childhood trauma and Internet addiction has not been fully explored. The aim of this study is to identify different subgroups of nursing students based on their childhood trauma and to examine the mediating role of alexithymia between childhood trauma and Internet addiction. From April to May 2025, 3,697 nursing students were recruited as samples from Shandong, Hubei, Hunan, and Henan provinces in China by convenient sampling. This survey collected social demographic data. Including The Childhood Trauma Questionnaire - Short Form (CTQ-SF), the Toronto Alexithymia Scale (TAS-26), and the Internet addiction Scale. Potential profile analysis was used to determine the potential categories of childhood trauma characteristics of nursing students, and Pearson correlation analysis, Bayesian factor robustness analysis and mediation analysis were used to determine the potential relationships among variables. LPA identified three distinct groups based on their dominant usage: low (77.4%), medium (19.5%), and high (3.1%). In the relationship between childhood trauma and Internet addiction based on potential profile analysis, alexithymia has a significant mediating effect (SE = 0.442,95%CI = 0.095, 1.824; SE = 0.219, 95%CI = 0.093, 0.962). There is heterogeneity in childhood trauma among nursing students. Alexithymia plays an important mediating role in the relationship between childhood trauma and Internet addiction. It is suggested that nursing educators pay attention to the differences in childhood trauma among nursing students, provide corresponding psychological counseling for different students, improve them, thereby alleviating Internet addiction among nursing students and promoting their mental health. Show less
This study examined the associations between 24-hour movement behaviors and health-related fitness in university students, and estimated the substitution effects using a compositional isotemporal subs Show more
This study examined the associations between 24-hour movement behaviors and health-related fitness in university students, and estimated the substitution effects using a compositional isotemporal substitution model. This study was conducted between May and June 2023, using a combination of convenience and random sampling to recruit 325 undergraduate students from Tianjin University of Science & Technology as participants, including 167 males and 158 females. Daily 24-hour activity behaviors were measured using a triaxial accelerometer(ActiGraph GT3X+), including moderate-intensity physical activity(MPA), vigorous-intensity physical activity(VPA), light-intensity physical activity(LPA), sedentary behaviors(SB), and sleep(SLP) duration. Body composition was assessed via body mass index(BMI), waist circumference, and body fat percentage. Muscular strength was measured by handgrip strength, cardiorespiratory fitness was measured by vital capacity and maximum oxygen uptake(VO₍₂ max)), and flexibility was assessed by the sit-and-reach test. Compositional data analysis was used to investigate the associations between activity behaviors and health-related physical fitness. A 15-minute isotemporal substitution model was applied to predict the effects of replacing one activity with another on outcome variables. The mean age of male participants was(19.74±1.16) years, and that of female participants was(19.51±1.29) years. Based on 24-hour compositional activity behavior analysis, college students spent an average of 16.42 minutes(1.14% of the day) in MPA, 26.57 minutes(1.85%) in VPA, 150.92 minutes(10.48%) in LPA, 645.78 minutes(46.05%) in SB, and 561.31 minutes(40.21%) in SLP. After adjusting for covariates including sex and age, isotemporal substitution models revealed that replacing an equivalent amount of sedentary time with MPA was associated with a reduction in BMI by 0.07-0.19 units, body fat percentage by 0.53-0.59 units, waist circumference by 0.16-0.27 cm, an increase in vital capacity by 119.18-152.67 mL, VO₍₂ max) by 1.76-1.88 mL/(kg·min), handgrip strength by 0.86-1.46 kg, and sit-and-reach performance by 0.19-0.38 cm. Similarly, increasing VPA led to decreases in BMI by 0.14-0.16 units, body fat percentage by 0.49-0.54 units, waist circumference by 0.12-0.23 cm, increases in vital capacity by 127.45-160.84 mL, VO₍₂ max) by 1.91-2.03 mL/(kg·min), handgrip strength by 0.98-1.56 kg, and sit-and-reach by 0.14-0.32 cm. Increasing LPA result ed in BMI increases of 0.11-0.12 units, handgrip strength increases of 0.65 kg, and sit-and-reach increases of 0.21 cm. Increasing SLP was associated with BMI reduction of 0.04 units and waist circumference reduction of 0.09 cm. MPA had the most significant effect on improving BMI, body fat percentage, and waist circumference, while VPA was more effective in enhancing cardiorespiratory fitness, muscular strength, and flexibility. SLP had a modest positive effect on BMI and waist circumference but was less impactful than MPA and VPA. SB and LPA were generally unfavorable for health-related physical fitness. Show less
no PDFDOI: 10.19813/j.cnki.weishengyanjiu.2026.01.011
Chaowei Fang, Bolin Fu, De Cheng+2 more · 2026 · IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · IEEE · added 2026-04-24
Continual image super-resolution (CISR) aims to efficiently adapt a pre-trained model to a variety of tasks while retaining knowledge from previously learned tasks, minimizing the need for intensive i Show more
Continual image super-resolution (CISR) aims to efficiently adapt a pre-trained model to a variety of tasks while retaining knowledge from previously learned tasks, minimizing the need for intensive independent training. The primary challenges include catastrophic forgetting due to varying data distributions and degradation types, along with the necessity for high adaptability. While prompt-based continual learning has proven effective in image classification, its direct application to super-resolution (SR) often fails to meet the demands for detailed pixel-level restoration and domain discrimination in low-level characteristics. To address these challenges, we propose Learning Prompt Adapters (LPA), which dynamically generates pixel-wise prompts through a combination of multi-granularity prompt bases and identities. By adaptively integrating these prompts into the Transformer architecture, we effectively improve the model's performance on fine-grained details in super-resolution tasks, as well as enhancing the model's adaptability to new tasks and preserving knowledge from previous ones. Through organizing the low-rank prompt bases with specific identities, we set up an effective solution to managing cross-task differences and enhancing prompt richness. Extensive experiments on benchmarks comprising the NYU, RealSR, DIV2K, REDS, and MANGA109 datasets with diverse degradation types demonstrate that LPA significantly outperforms existing continual learning methods. Codes of this paper are available at: https://github.com/dummerchen/LPA. Show less
Adolescence is a critical period for rapid emotional and cognitive development. Depression and cognitive impairment frequently co-occur in this population, yet their comorbidity patterns and symptom-l Show more
Adolescence is a critical period for rapid emotional and cognitive development. Depression and cognitive impairment frequently co-occur in this population, yet their comorbidity patterns and symptom-level interactions remain insufficiently explored. A total of 2,244 students (mean age = 16.8 ± 0.84 years; 1,218 males, 1,026 females) from a high school in Heilongjiang Province, China, were recruited. Depressive symptoms and cognitive impairment were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Perceived Deficits Questionnaire–Depression (PDQ-D). Latent profile analysis (LPA) was applied to identify subgroups, followed by network analysis to examine central symptoms (expected influence, EI), bridge symptoms (bridge expected influence, BEI), and network differences (NCT). The optimal LPA model identified three comorbidity subgroups: low, moderate, and high. NCT revealed significant differences in network structure and global strength between the low–moderate (S = 1.514, Adolescent Depression and Cognitive Impairment can be classified into low, moderate, and high comorbidity subgroups. Somatic symptoms emerged as the central symptom, while prospective memory impairment and interpersonal problems were identified as key bridge symptoms, suggesting potential intervention targets for early screening and stratified treatment. Not applicable. The online version contains supplementary material available at 10.1186/s12888-026-07946-w. Show less
To examine associations between the 24-h composition of movement behaviors (sedentary behavior [SB], light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], and sleep) and physic Show more
To examine associations between the 24-h composition of movement behaviors (sedentary behavior [SB], light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], and sleep) and physical and mental health in older adults using compositional data analysis. Data came from 4,150 adults aged ≥ 60 in the 2015 China Health and Nutrition Survey. Multiple‑balance isometric log‑ratio regression and compositional isotemporal substitution models were used to assess relative associations and the effect of time reallocation. The 24‑hour geometric mean composition was 43.1% sleep, 30.6% SB, 21.8% LPA, and 4.5% MVPA. LPA was positively associated with physical (β = 0.062, Replacing sedentary time or sleep with LPA, even in small amounts, is associated with better physical and mental health in older adults, supporting integrated 24‑hour activity guidelines that emphasize light‑intensity movement. Show less
High-grade serous ovarian cancer (HGSC) is the most aggressive subtype of ovarian epithelial cancer (OEC), with characters of late-stage diagnosis, high recurrence rate, and poor survival outcomes. Fu Show more
High-grade serous ovarian cancer (HGSC) is the most aggressive subtype of ovarian epithelial cancer (OEC), with characters of late-stage diagnosis, high recurrence rate, and poor survival outcomes. Fucosyltransferase 8 (FUT8) is responsible for α1,6-core fucosylation biosynthesis, and aberrant FUT8/α1,6-core fucosylation level is involved in tumor progression. However, the roles and mechanisms of protein FUT8 and α1,6-core fucosylation in HGSC tumorigenesis and progression remain elusive. Here, our study confirms that elevated levels of FUT8/α1,6-core fucose in the tissues and serum of HGSC patients, and the elevation is associated with poor patient prognosis. By applying glycoproteomic assay, we globally screen and identify NCEH1 as the specific scaffold protein of α1,6-core fucosylation. Alpha 1,6-core fucose modification stabilizes NCEH1 by preventing its degradation through proteasomal pathway. Importantly, combined with non-targeted metabolomics analysis, α1,6-core fucosylated NCEH1 facilitates LPA secretion, driving M2-like polarization of tumor-associated macrophages in the tumor microenvironment, thus leading to oncogenesis and peritoneal metastasis of HGSC in vitro and in vivo. These findings broaden the understanding of FUT8/α1,6-core fucosylation/NCEH1 in HGSC progression and metastasis, and offer glycosylated diagnostic indicators and targets for therapeutic strategies in HGSC. Show less
Xinyi Ma, Yang Xu, Yeqi Nian+9 more · 2026 · American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · Elsevier · added 2026-04-24
Carboxymethylcellulose (CMC), a common food emulsifier, induces microbiota dysbiosis and systemic inflammation; however, its impact on transplant immunity remains unclear. Allogenic heart rejection wa Show more
Carboxymethylcellulose (CMC), a common food emulsifier, induces microbiota dysbiosis and systemic inflammation; however, its impact on transplant immunity remains unclear. Allogenic heart rejection was observed in CMC-fed recipient mice, with increased abundance of lysophosphatidic acid (LPA)-producing bacteria and increased serum LPA concentration. CMC-induced transplant rejection was caused by the gut microbiota, as confirmed by fecal microbiota transplantation and gut microbiota depletion. Furthermore, LPA-treated macrophages demonstrated a proinflammatory ability to accelerate allograft rejection in cytotoxic T lymphocyte-associated protein 4 immunoglobulin-induced allograft survival by upregulating glycolysis. Conversely, the administration of a glycolysis inhibitor resulted in allograft survival and abrogated the detrimental effect of LPA. Mass spectrometry and single-cell RNA sequencing confirmed that transplant patients with rejection showed significantly elevated serum LPA levels and LPA receptor 6 (LPAR6) expression in graft-infiltrate macrophages. Mechanistically, LPA preferentially promoted LPAR6 expression, which interacted with Rho-associated protein kinase 2 to activate the mammalian target of rapamycin/hypoxia-inducible factor 1-alpha pathway, thereby enhancing glycolysis and inducing proinflammatory macrophage polarization. Treatment with Ki16425, an LPAR antagonist, prolonged allograft survival in CMC-fed recipients. Our findings reveal a major detrimental effect of CMC on macrophage physiology and suggest that controlling LPAR6 expression or glycolysis in macrophages may improve allograft survival in transplant recipients. Show less
Physical activity (PA) is known to enhance brain health; however, prior research has predominantly concentrated on the total volume of PA, often overlooking the frequency of daily PA on an hourly basi Show more
Physical activity (PA) is known to enhance brain health; however, prior research has predominantly concentrated on the total volume of PA, often overlooking the frequency of daily PA on an hourly basis. This prospective cohort study examined 69,393 middle-aged and older adults, utilizing wrist-worn accelerometer data to assess PA. A novel PA frequency score was developed, which integrated light PA (LPA) and moderate-to-vigorous PA (MVPA) across 18 hourly segments (6:00 AM-12:00 AM). Participants were categorized into Inactive, Active, and Very Active groups. After adjusting for potential confounders, it was observed that individuals in the Active and Very Active groups exhibited a reduced risk of developing brain disorders such as dementia, anxiety, depression, migraine, Parkinson's disease, and stroke over a median follow-up period of 7.41 years. Magnetic Resonance Imaging (MRI) findings demonstrated that each unit increase in the PA frequency score correlated with a 51.55 mm Show less
Non-suicidal self-injury (NSSI) is highly prevalent among adolescents with depression, yet the heterogeneity of underlying temperamental risk factors remains poorly understood. Traditional variable-ce Show more
Non-suicidal self-injury (NSSI) is highly prevalent among adolescents with depression, yet the heterogeneity of underlying temperamental risk factors remains poorly understood. Traditional variable-centered approaches fail to capture how distinct affective temperaments co-occur within individuals. This study aimed to identify latent profiles of affective temperaments and examine their association with NSSI, exploring the statistical mediating role of cognitive emotion regulation (CER). A cross-sectional study was conducted from February 2025 to September 2025 at the First Hospital of Hebei Medical University. A total of 290 adolescents (aged 10–19) diagnosed with Major Depressive Disorder were recruited, with 282 valid responses included in the final analysis. Participants completed the TEMPS-A, CERQ, and ASHS. Latent Profile Analysis (LPA) was utilized to identify temperament subgroups. Mediation analysis with bootstrapping was performed to test the indirect effects of CER strategies. LPA identified three distinct profiles: Resilient/Low-risk (Class 1, 32.6%), Anxious-Depressive (Class 2, 46.1%), and Mixed-Dysregulated (Class 3, 21.3%). The Mixed-Dysregulated group, characterized by simultaneous elevations in depressive, anxious, irritable, and cyclothymic temperaments, exhibited the highest frequency (45.2 ± 21.3 times/year) and prevalence (98.8%) of NSSI compared to other groups ( The findings delineate a specific “Mixed-Dysregulated” risk phenotype within adolescent depression that is associated with severe NSSI. Interventions should move beyond standard depression care to target cognitive flexibility and emotional regulation skills. Statistical mediation analysis suggests that this risk is mediated by maladaptive cognitive emotion regulation strategies. Not applicable. Show less