Objective: To construct an interpretable machine learning prediction model for medical students short-video addiction and to identify the core influencing factors, in order to provide evidence-based basis for accurate screening and intervention of medical students short -video addiction behavior. Methods: In January 2025, a convenience sampling method was used to select 601 medical students in a medical college from Nanyang in Henan Province. Data on short-video addiction, psychological status and other related information were collected by using Short-form Video Addiction Scale, Depression Anxiety Stress Scales-21 (DASS-21), UCLA Loneliness Scale (3 edition), Self-control Scale (SCS), Perceived Social Support Scale, Medical Student Stress Scale (MSSS). Interpretable machine learning models were constructed based on K nearest neighbor (KNN), support vector machine (SVM), lightweight gradient boosting machine (LightGBM) and extreme gradient boosting (XGBoost), and the model interpretation was performed by SHapley Additive exPlanations (SHAP) value method. Results: Lasso regression identified four predictive factors: SCS score, DASS-21 depression/anxiety score, and MSSS score were four predictors. The comparison of model performance showed that LightGBM had the highest Area Under the Curve (AUC) (0.905), followed by SVM (0.899), XGBoost (0.892) and KNN (0.890). The Brier score of LightGBM was 0.120, and the calibration curve showed that the predicted probability was in good agreement with the actual probability. SHAP analysis showed that the importance of the predictors of short-video addiction of medical students was as follows:DASS-21 anxiety score, DASS-21 depression score, SCS score and MSSS score. Conclusions Both LightGBM and SVM models have good performance, demonstrating preliminary potential for identifying individuals with high risk of addiction. Depression, anxiety, and academic stress are the main positively correlated factors, while self-control ability is a negatively correlated factor.

Objectives: This study aimed to achieve expert consensus on menopause management in the Asia-Pacific region, taking into account patient diversity, the latest evidence, and current treatment options. Methods: A focused literature search was performed to identify clinical practice statements on menopause management. Menopause experts were nominated by members of the Asia-Pacific Menopause Federation (APMF) society. A modified Delphi methodology, involving iterative rounds of anonymous surveys, was employed until consensus was reached for each statement. Consensus was defined as ≥ 70% of experts voting ‘agree’ or ‘strongly agree’ for a given clinical practice statement. Results: A total of 39 participants from 14 different APMF member societies were involved. Eighty-five clinical practice statements reached a consensus. Based on the clinical practice statements, an algorithm was created as a tool to guide clinicians on menopause management. APMF experts agreed that, in addition to vasomotor symptoms, Asian women experiencing somatic or psychological symptoms may also benefit from treatment with menopausal hormone therapy (MHT). MHT should also be considered for the prevention of osteoporosis in asymptomatic peri- and postmenopausal women. Conclusions This APMF consensus statement supersedes the previous one published in 2008. It provides guidance to gynecologists, endocrinologists, family physicians, and other healthcare professionals in delivering optimal care to menopausal women in the ethnically and culturally diverse Asia-Pacific region.

OBJECTIVE: To examine the mechanistic of organochlorine-associated changes in lung function. METHODS: This study investigated 76 healthy older adults in Jinan, Shandong Province, over a five-month period. Personal exposure to organochlorines was quantified using wearable passive samplers, while inflammatory factors and thyroid hormones were analyzed from blood samples. Participants' lung function was evaluated. After stratifying participants according to their thyroid hormone levels, we analyzed the differential effects of organochlorine exposure on lung function and inflammatory factors across the low and high thyroid hormone groups. Mediation analysis was further conducted to elucidate the relationships among organochlorine exposures, inflammatory factors, and lung function. RESULTS: Bis (2-chloro-1-methylethyl) ether (BCIE), was negatively associated with forced vital capacity (FVC, -2.05%, 95% CI: -3.11% to -0.97%), and associated with changes in inflammatory factors such as interleukin (IL)-2, IL-7, IL-8, and IL-13 in the low thyroid hormone group. The mediation analysis indicated a mediating effect of IL-2 (15.63%, 95% CI: 0.91% to 44.64%) and IL-13 (13.94%, 95% CI: 0.52% to 41.07%) in the association between BCIE exposure and FVC. CONCLUSION Lung function and inflammatory factors exhibited an increased sensitivity to organochlorine exposure at lower thyroid hormone levels, with inflammatory factors potentially mediating the adverse effects of organochlorines on lung function.
Environmental Exposure ; Hydrocarbons, Chlorinated/metabolism* ; China ; Ethyl Ethers/metabolism* ; Environmental Monitoring ; Thyroid Hormones/blood* ; Lung/physiology* ; Inhalation Exposure/statistics & numerical data* ; Air Pollution/statistics & numerical data* ; Air Pollutants/metabolism* ; Humans ; Male ; Female ; Middle Aged ; Aged

OBJECTIVE: The results of limited studies on the relationship between environmental pollution and dementia have been contradictory. We analyzed the combined effects of PM _2.5 and smoking on the prevalence of dementia and cognitive impairment in an elderly community-dwelling Chinese population. METHODS: We assessed 24,117 individuals along with the annual average PM _2.5 concentrations from 2012 to 2016. Dementia was confirmed in the baseline survey at a qualified clinical facility, and newly suspected dementia was assessed in 2017, after excluding cases of suspected dementia in 2015. National census data were used to weight the sample data to reflect the entire population in China, with multiple logistic regression performed to analyze the combined effects of PM _2.5 and smoking frequency on dementia and cognitive impairment. RESULTS: Individuals exposed to the highest PM _2.5 concentration and smoked daily were at higher risk of dementia than those in the lowest PM _2.5 concentration group ( OR, 1.603; 95% CI [1.626-1.635], P < 0.0001) and in the nonsmoking group ( OR, 1.248; 95% CI [1.244-1.252]; P < 0.0001). Moderate PM _2.5 exposure and occasional smoking together increased the short-term risk of cognitive impairment. High-level PM _2.5 exposure and smoking were associated with an increased risk of dementia, so more efforts are needed to reduce this risk through environmental protection and antismoking campaigns. CONCLUSION High-level PM _2.5 exposure and smoking were associated with an increased risk of dementia. Lowering the ambient PM _2.5, and smoking cessation are recommended to promote health.
Humans ; Dementia/etiology* ; Male ; Aged ; Female ; Cognitive Dysfunction/etiology* ; China/epidemiology* ; Particulate Matter/analysis* ; Smoking/epidemiology* ; Air Pollutants/analysis* ; Aged, 80 and over ; Environmental Exposure/adverse effects* ; Prevalence ; Middle Aged

OBJECTIVE: This study aimed to investigate possible serum 25-hydroxyvitamin D [25(OH)D] cutoffs for the associations between 25(OH)D and Bone turnover markers (BTMs), and how GC gene variation influences such cutoffs in Chinese women of childbearing age. METHODS: In total, 1,505 non-pregnant or non-lactating women (18-45 years) were recruited from the 2015 Chinese Adult Chronic Disease and Nutrition Surveillance. Serum 25(OH)D, osteocalcin (OC), procollagen type 1 N-terminal propeptide (P1NP), β-CrossLaps of type 1 collagen containing cross-linked C-telopeptide (β-CTX), and single nucleotide polymorphisms were determined. Locally weighted regression and smoothing scatterplot and segmented regression were performed to estimate the 25(OH)D thresholds. RESULTS: The median serum 25(OH)D was 16.63 (11.96-22.55) ng/mL and the prevalence of low serum 25(OH)D (< 12 ng/mL) was 25.2%. Women with the lowest 25(OH)D had the highest β-CTX. After adjustment for the confounders, 25(OH)D cutoffs for OC [14.04 (12.84-15.23) ng/mL], β-CTX [13.94 (12.49-15.39) ng/mL], and P1NP [13.87 (12.37-15.37) ng/mL] in the whole population, cutoffs for OC [12.30 (10.68-13.91) ng/mL], β-CTX [12.23 (10.22-14.23) ng/mL], and P1NP [11.85 (10.40-13.31) ng/mL] in women with the GC rs2282679 G allele, and cutoffs for OC [12.75 (11.81-13.68) ng/mL], β-CTX [13.05 (11.78-14.32) ng/mL], and P1NP [12.81 (11.57-14.06) ng/mL] in women with the GC rs2282679 T allele, were observed. Below these cutoffs, BTMs were negatively associated with 25(OH)D, while above these cutoffs, BTMs plateaued. CONCLUSION In Chinese women of childbearing age, there were thresholds effect of serum 25(OH)D concentrations on BTMs. The results indicated that serum 25(OH)D concentrations < 13.87 ng/mL in this population had adverse influences on maintaining bone remodeling. BTMs were suppressed at a relatively lower serum 25(OH)D in women with the GC rs2282679 G allele compared with those with the T allele.
Humans ; Female ; Vitamin D/blood* ; Adult ; Middle Aged ; Polymorphism, Single Nucleotide ; Adolescent ; Young Adult ; China ; Biomarkers/blood* ; Bone Remodeling/genetics* ; Vitamin D-Binding Protein/genetics* ; Procollagen/blood* ; Osteocalcin/blood* ; Peptide Fragments/blood* ; East Asian People

OBJECTIVES: This study aimed to investigate the impact of foam macrophages (FMs) on the intracellular survival of Mycobacterium tuberculosis (MTB) and identify the molecular mechanisms influencing MTB survival. METHODS: An in vitro FM model was established using oleic acid induction. Transcriptomic and metabolomic analyses were conducted to identify the key molecular pathways involved in FM-mediated MTB survival. RESULTS: Induced FMs effectively restricted MTB survival. Transcriptomic and metabolomic profiling revealed distinct changes in gene and metabolite expression in FMs during MTB infection compared with normal macrophages. Integrated analyses identified significant alterations in the cyclic adenosine monophosphate (cAMP) signaling pathway, indicating that its activation contributes to the FM-mediated restriction of MTB survival. CONCLUSIONS FMs inhibit MTB survival. The cAMP signaling pathway is a key contributor. These findings enhance the understanding of the role of FMs in tuberculosis progression, suggest potential targets for host-directed therapies, and offer new directions for developing diagnostic and therapeutic strategies against tuberculosis.
Mycobacterium tuberculosis/physiology* ; Transcriptome ; Metabolomics ; Foam Cells/microbiology* ; Humans ; Metabolome ; Tuberculosis/microbiology* ; Gene Expression Profiling

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objectives: This study aimed to achieve expert consensus on menopause management in the Asia-Pacific region, taking into account patient diversity, the latest evidence, and current treatment options. Methods: A focused literature search was performed to identify clinical practice statements on menopause management. Menopause experts were nominated by members of the Asia-Pacific Menopause Federation (APMF) society. A modified Delphi methodology, involving iterative rounds of anonymous surveys, was employed until consensus was reached for each statement. Consensus was defined as ≥ 70% of experts voting ‘agree’ or ‘strongly agree’ for a given clinical practice statement. Results: A total of 39 participants from 14 different APMF member societies were involved. Eighty-five clinical practice statements reached a consensus. Based on the clinical practice statements, an algorithm was created as a tool to guide clinicians on menopause management. APMF experts agreed that, in addition to vasomotor symptoms, Asian women experiencing somatic or psychological symptoms may also benefit from treatment with menopausal hormone therapy (MHT). MHT should also be considered for the prevention of osteoporosis in asymptomatic peri- and postmenopausal women. Conclusions This APMF consensus statement supersedes the previous one published in 2008. It provides guidance to gynecologists, endocrinologists, family physicians, and other healthcare professionals in delivering optimal care to menopausal women in the ethnically and culturally diverse Asia-Pacific region.