Background The moderation role of environmental factors in the spread of hand-foot-and-mouth disease (HFMD) has attracted much attention, but the existing conclusions are inconsistent. For example, some scholars believe that high temperature, high humidity, and high concentrations of fine particulate matter (PM_2.5) and nitrogen dioxide (NO₂) increase the risk of HFMD, but other scholars have reached the opposite conclusion, or believe that there is no significant relationship. Objective Based on distributed lag nonlinear model (DLNM), to investigate the relationship between the incidence of HFMD and meteorological and air pollutant variables in Lianyungang City, and to provide scientific basis for early warning. Methods Daily data of meteorological factors and air pollutants in Lianyungang City from 2021 to 2024 were retrieved. Meteorological factors included average daily temperature, average wind speed, average air pressure, and relative humidity. Air pollutant indicators included PM_2.5, inhalable particulate matter (PM₁₀), carbon monoxide (CO), sulfur dioxide (SO₂), NO₂, and ozone (O₃). Spearman correlation analysis was used to analyze their correlations with HFMD, and the R package (version 4.3.1) dlnm was used to construct a DLNM model. Results During the study period, a total of 10503 cases were reported, with a male to female ratio of 1.47∶1 and the highest proportion of scattered children (49.97%). The Spearman correlation analysis results showed that daily average temperature (r=0.40), relative humidity (r=0.17) and O₃ (r=0.14) were positively correlated with the incidence of HFMD (all Ps<0.01), while average air pressure (r=−0.34), PM_2.5 (r=−0.24), PM₁₀ (r=−0.24), CO (r=−0.22), and NO₂ (r=−0.06) were negatively correlated with it (all Ps<0.05). There was no statistical relationship of SO₂ and average wind speed with the incidence of HFMD (both Ps>0.05). The cumulative risk effect was greatest when the daily average temperature was 28.50 ℃ (CRR=4.63, 95%CI: 2.68, 8.01). The average wind speed below 0.50 m·s⁻¹ and in the range of 2.50-3.50 m·s⁻¹ showed an acute risk effect, and low pressure (below 1016.00 hPa) could immediately increase the risk of the disease. The cumulative risk effect was greatest when the relative humidity was 100% (CRR=3.16, 95%CI: 1.77, 5.65). The greatest cumulative protective effects of PM_2.5 and PM₁₀ were present at concentrations of 158.00 μg·m⁻³ (CRR=0.12, 95%CI: 0.01, 0.99) and 561.50 μg·m⁻³ (CRR=0.01, 95%CI: 0.01, 0.99) respectively. The protective effect of CO was the strongest at the highest concentration (67.00 μg·m⁻³) (RR=0.67, 95%CI: 0.34, 0.64). The cumulative protective effects of SO₂ and NO₂ were both most significant at the concentration of 0.50 μg·m⁻³. Low concentrations of O₃ (below 48.00 μg·m⁻³) showed a risk effect, and the single-day protective effect was significant when the concentration was 141.00 μg·m⁻³. Conclusion There is a nonlinear and hysteretic relationship between environmental factors and the incidence of HFMD. A rational and efficient early warning and prevention and control system can be constructed accordingly.

The functional realization of proteins and other biological macromolecules depends on conformational dynamics and allosteric regulation, and elucidating their molecular mechanisms is an important foundation for understanding life processes. Molecular dynamics simulations are a powerful tool for investigating conformational evolution at the atomic level. However, traditional methods are limited by simulation timescales and high free-energy barriers, making it difficult to effectively capture rare conformations and their transition pathways. As a result, the development of enhanced sampling techniques has become key to overcoming this bottleneck. As a classical enhanced sampling technique, metadynamics suffers from several shortcomings, including strong dependence on collective variables and significant errors caused by bias potential accumulation. This article reviews three major improvement strategies. The first combines stochastic resetting with metadynamics, using trajectory-resetting mechanisms to improve sampling efficiency while avoiding the difficulty of optimizing collective variables. The second, SinkMeta, employs a “sinking” bias effect to enable efficient exploration of specific regions and paths. The third, OPES-based hybrid methods, improve the stability of free-energy estimation by optimizing the target distribution or the way the bias is constructed. These methods provide new ideas for characterizing free-energy landscapes and studying conformational transitions in complex biological systems, while also promoting the continued development of enhanced sampling methodologies.

Objective: To investigate the associations of screen time (ST) and dietary behavior with sleep quality among first-year junior high school students, and further analyze the joint exposure effect of weekend ST and dietary usage, so as to provide scientific evidence for improving adolescent sleep quality and developing related health intervention measures. Methods: From September 19 to October 18, 2023, a combination of cluster sampling and convenience sampling method was used to select 733 first-year junior high school students from 4 public junior high schools in Jinshan District, Shanghai. ST on weekdays and weekends of students was investigated. The Chinese Diet Quality Questionnaire and the Pittsburgh Sleep Quality Index were applied to assess dietary behaviors and sleep quality. Binary Logistic regression was used to analyze the associations of ST and dietary behavior with sleep quality during weekdays and weekends. Results: The proportion of students with high level ST was 31.8% on weekdays and 65.3% on weekends. Students with poor dietary quality accounted for 45.3%, and the detection rate of poor sleep quality was 14.6 %. Binary Logistic regression analysis showed that, compared with students with low level ST on weekend and good dietary quality, those with high level ST on weekend and those with poor dietary quality had increased risks of poor sleep quality [ OR (95% CI )=1.89(1.10-3.26), 2.30(1.47-3.58), both P <0.05]. Combined exposure showed that compared to students with good diet quality and low level ST on weekend, students with good dietary quality and high level ST on weekend, those with poor dietary quality and low level ST on weekend, and those with poor dietary quality and high level ST on weekend also had increased risks of poor sleep quality [ OR (95% CI )=3.00(1.25-7.25), 4.07(1.60-10.33), 5.72(2.37-13.81), all P <0.05]. Conclusion Excessive weekend ST and poor dietary quality are associated with poor sleep quality among first-year junior high school students, and their co-occurrence further increases the risk.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

ObjectiveTo investigate the incidence and relevant factors of visual acuity abnormalities in preschool children undergoing kindergarten entrance physical examinations in Shannan City, Xizang, in 2022, so as to formulate policies for protecting children’s visual acuity and provide a basis for optimizing the children’s health service system in this region. MethodsA cross sectional study was conducted among the children undergoing kindergarten entrance physical examinations in Shannan City in 2022. A diopter examination was performed for these children, and a questionnaire survey was administered to their caregivers. Additionally, factors affecting children’s visual acuity abnormalities were analyzed using the χ² test and binary logistic regression analysis. ResultsA total of 759 children were included in the analysis, with an incidence rate for visual acuity abnormalities of 11.20%. Univariate analysis showed that statistically significant differences were observed in the incidence rate for visual acuity abnormalities among preschool children in terms of different family monthly income (χ²=17.395, P<0.001), father’s education level (χ²=5.133, P=0.023), postnatal vitamin A and D supplementation (χ²=9.575, P=0.008), and feeding method within the first 6 months after birth (χ²=9.330, P=0.009). Multivariate analysis results indicated that family monthly income <5 000 yuan (OR=2.599, P=0.003), insufficient postnatal vitamin A and D supplementation (OR=1.912, P=0.011), and formula feeding (OR=2.131, P=0.010) were relevant factors for abnormal visual development in children. ConclusionThe incidence of visual acuity abnormalities in preschool children in Shannan City is slightly higher than that previously reported in other regions of Xizang. The occurrence of visual acuity abnormalities in children is related to factors such as family monthly income, postnatal vitamin A and D supplementation, and feeding method within the first 6 months after birth. Future interventions should be strengthened on the promotion and dissemination of knowledge related to eye use, such as improve parental awareness of eye care, promote timely vitamin A and D supplementation and encourage breast feeding for children after birth, more specifically, attentions need to be focused on the visual acuity problems of children from low-income families to safeguard the visual health in preschool children in Shannan City, Xizang.

[Purpose]To analyze the lifetime risk of developing and dying from lung cancer at global and regional levels.[Methods]Data of lung cancer incidence and mortality were obtained from GLOBOCAN 2022 and the population and all-cause mortality data were obtained from the United Nations.The lifetime risk of developing and dying from lung cancer globally and across different regions was estimated by multiple primary adjustment method.[Results]The global lifetime risk of developing lung cancer was 3.59％[95％confidence interval(CI):3.58％～3.59％],ranking third among all cancer types.There were significant gender and regional differences in lifetime risk values.The risk for male was 4.43％(95％CI:4.42％～4.44％),which was higher than that for female(2.71％,95％CI:2.70％～2.72％),with a male-to-female ratio of 1.63.Among regions with varying human development index(HDI)levels,the risk increased with HDI levels,in very high HDI re-gions risk was 5.36％(95％CI:5.34％～5.37％),while in low HDI regions the risk was 0.34％(95％CI:0.33％～0.34％).Among the 20 global regions,East Asia had the highest lifetime risk of 7.53％(95％CI:7.52％～7.55％),while West Africa had the lowest risk of 0.16％(95％CI:0.16％～0.17％).The global lifetime risk of dying from lung cancer was 2.78％(95％CI:2.78％～2.78％),ranking the first among all cancer types.There were significant sex and regional differ-ences in lifetime death risk values.The risk for male was 3.64％(95％CI:3.63％～3.64％),which was higher than that for female(1.89％,95％CI:1.89％～1.90％),with a male-to-female ratio of 1.93.Among regions with varying HDI levels,the risk increased with HDI levels,in very high HDI re-gions the risk was 3.98％(95％CI:3.97％～3.99％),while in low HDI regions the risk was 0.31％(95％CI:0.31％～0.31％).Among the 20 global regions,the Federated States of Micronesia/Poly-nesia had the highest death risk of 5.80％(95％CI:4.98％～6.62％),while West Africa had the lowest risk of 0.15％(95％CI:0.15％～0.16％).The lifetime risk of developing and dying from lung cancer in China was 7.54％(95％CI:7.52％～7.56％)and 5.88％(95％CI:5.87％～5.90％),respec-tively,both ranking the first among all cancer types.[Conclusion]The lifetime risk of developing and dying from lung cancer remains high globally and across different regions,with a particularly heavy burden in high-HDI areas.In China,both the lifetime risk of developing and dying from lung cancer are higher than the global average.This highlights the need for continued enhance-ment of comprehensive prevention and control measures,including addressing lung cancer-related risk factors,as well as improving screening,early diagnosis,and treatment efforts to reduce the lung cancer burden.

[Purpose]To analyze the incidence and mortality rates of female breast cancer in Henan Province in 2020 and the trends from 2010 to 2020.[Methods]Breast cancer incidence and mor-tality data stratified by urban and rural areas and age groups were collected from Henan Provincial tumor registry,and the province's household population statistics were used.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rate(0～74 year old)were calculated.The annual percentage change(APC),average annual percentage change(AAPC)and 95％confidence interval(CI)were calculated using Joinpoint software to analyze the trends of the incidence and mortality from 2010 to 2020.[Results]In 2020,24 744 new cases and 4 989 deaths of female breast cancer were documented in Henan Province,with a crude incidence rate of 46.96/105,ASIRC of 38.43/105 and ASIRW of 35.71/105;a crude mortality rate of 9.47/105,ASMRC of 6.80/105 and ASMRW of 6.72/105,respectively.The above indicators in urban areas were signifi-cantly higher than those in rural areas.The highest incidence was observed in the age group of 50～54 years old,while the highest mortality reached in the age group of 85 years old and above.From 2010 to 2020,the overall incidence of female breast cancer showed a slow upward trend(AAPC=2.09％,95％CI:0.62％～3.58％,P=0.010),while the mortality rate exhibited a signif-icant downward trend(AAPC=-3.49％,95％CI:-5.62％～-1.30％,P=0.005).[Conclusion]The incidence and mortality rates of female breast cancer in Henan Province are still at a high level,and corresponding preventive measures and control strategies are needed to effectively reduce the health hazards of breast cancer to women.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective:To develop a tool package that meets the routine statistical analysis requirements of population-based cancer registries in China based on R language, with the aim of improving data quality and efficiency, and promoting the nationwide scientific utilization of cancer registry data.Methods:The functional demands for statistical analysis of population-based cancer registry staff were collected through questionnaires or face-to-face interviews. Based on the concept of generic functions in R software's S3 object system, functions were developed by defining specific S3 classes for different data types, allowing the same function to perform diverse tasks depending on the class of input data. A stepwise development strategy was adopted to ensure logical coherence among functional modules, and all functions were systematically tested and validated in accordance with standard R package development guidelines.Results:Six categories of functions, including data reading, data manipulation, data processing, statistical calculation, visualization, and statistical reporting, were developed to support routine statistical analysis of population-based cancer registry data. Data reading functions support reading data formats required by the National Cancer Registry. Data manipulation functions empower conditional filtering of registry data and support regrouping, merging, or transforming the data based on registry attributes (such as urban/rural location) to accommodate different analytical needs. Data processing functions includes age grouping, International Classification of Diseases 10 th Revision (ICD-10) classification, childhood cancer classification, and population estimation. Statistical calculation functions permit the calculation of age-standardized rates, truncated rates, cumulative rates, cumulative risks, life tables, and expansion from abridged to complete life tables. Visualization functions can generate commonly used statistical charts, including population pyramids, bar charts, and line graphs. Statistical reporting functions can integrate key indicators, charts, and narrative descriptions into comprehensive cancer registry reports. Conclusion:An R package named Canregtools was developed based on the concept of S3 generic functions. This package is free of charge, open-source, and highly efficient. It can meet the diversified needs in cancer registry data analysis, visualization, and reporting through standardized data processing workflows, thereby enhancing the quality and efficiency of routine statistical analysis in population-based cancer registries in China.

Objective To summarise the best evidence on non-pharmacological management in children and to provide evidence-based guidelines for clinical practice.Methods With the 6S evidence pyramid model,a comprehensive and systematic search across multiple databases was conducted,including UpToDate,BMJ Best Practice,Joanna Briggs Institute of Australia's Centre for Evidence-based Health Care Database(JBI),National Guideline Clearing-house(NGC),Guidelines International Network(GIN),The National Institute for Health and Care Excellence(NICE)website,Scottish Intercollegiate Guidelines Network(SIGN),American Dental Association,Canadian Dental Association,Cochrane Library,CINAHL,Embase,PubMed,SinoMed,CNKI and Wanfang Data.The search focused on literature pertaining to the improvement of non-pharmacological strategies for compliance with paediatric oral treatment,encompassing clinical decisions,evidence summaries,clinical guidelines,systematic reviews,expert consensus,best practices,and randomised controlled trials.The literature search encompassed all available publications from the inception of databases up to 5th November,2023.A quality assessment of the literature was independently conducted by four researchers trained by evidence-based nursing courses,while evidence extraction and summarisation were handled by two researchers.Results A total of 16 papers were included,comprising 2 clinical decisions,2 evidence summaries,3 guidelines,5 systematic evaluations,1 best practice,2 expert consensus and 1 randomised controlled trial.Nineteen pieces of evidence were extracted and classified into six categories:outpatient setting,assessment and management of children,pre-treatment non-pharmacological management,in-treatment non-pharmacological management,post-treatment non-pharmacological management and training and assessment.Conclusion This study summarises the best evidences for non-pharmacological management aiming to improve the oral treatment compliance in children.Healthcare providers can facilitate the translation of this evidence into clinical practice by considering the specific clinical context as well as factors such as the age and psychological characteristics of children.