Objective To explore the predictive effect of serum 25-hydroxyvitamin D3 [25(OH)D3] and blood lipid metabolism indexes on the occurrence of osteoporosis in type 2 diabetes mellitus (T2DM). Methods Totally 98 patients with T2DM in the hospital from January 2022 to January 2024 were classified into osteoporosis group (38 cases) and non-osteoporosis group (60 cases) by means of concurrent osteoporosis status. The levels of serum 25(OH)D3 and blood lipid metabolism indexes [high density lipoprotein (HDL), total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), VLDL] were measured in study subjects. The association of serum 25(OH)D3 and blood lipid metabolism indexes with osteoporosis was explored by Logistic regression analysis. The predictive value of serum 25(OH)D3 and blood lipid metabolism indexes on osteoporosis was analyzed by receiver operating characteristic curve (ROC). Results Serum 25(OH)D3 and HDL levels in the osteoporosis group were lower while TG and LDL levels were higher than those in the non-osteoporosis group (P<0.05). The differences in the levels of TC and VLDL were insignificant between groups (P>0.05). After logistic regression analysis, the levels of serum 25(OH)D3, HDL, TG and LDL were closely related to the occurrence of osteoporosis (P<0.05). ROC curve indicated that the area under the curve (AUC), sensitivity and specificity of combined prediction of osteoporosis by serum 25(OH)D3, HDL, TG, and LDL were 0.943, 92.11% and 85.00%, and the efficiency of combined prediction was better than that of each index alone (P<0.05). Conclusion The levels of serum 25(OH)D3, HDL, TG and LDL in T2DM are closely related to osteoporosis. Early combined monitoring of the indicators can provide reference value for clinical prediction of osteoporosis occurrence in patients with T2DM.

Objective: To identify the effective needs of college students for dietary nutrition health education content, so as to provide a scientific basis for optimizing the health education strategies in colleges. Methods: The literature analysis method, focus group interviews and Delphi expert consultation method were used to construct a survey questionnaire on dietary nutrition health education for college students. From January to March 2024, a total of 597 college students from six colleges in Shandong Province were selected through convenience sampling to complete the questionnaire independently by scanning the two dimensional code on questionnaire star. The Kano model was used to define the content demands of college students for dietary nutrition education, and the differences in demands were analyzed by calculating satisfied influence (SI) and dissatisfied influence (DSI). Results: The compiled questionnaire was divided into 7 dimensions and 25 items. The overall demand level analysis of college students included 3 essential attribute demands, namely, the recommended intake and various forms of dairy products (34.17%), the role of whole grains in health with their scientific intake forms and recommended amounts (31.99%), and the intake of beans (30.15%); 7 expected attribute demands included the introduction of recommended intensity of different activities (35.01%), how to achieve a healthy weight and the balance between diet and exercise (41.54%), the energy consumed by different exercises in a unit of time ( 38.36 %), the selection of healthy snacks (36.68%), the types of infectious diseases of the digestive system and how to prevent and control them (25.96%), the causes and judgments with manifestations of nutrition related diseases among college students ( 28.14 %), and the hotspots of attention on nutrition related diseases among college students (24.46%); 4 attractive attribute demands contained the introduction of the recommended activity levels for different periods such as daily and weekly (28.81%), the introduction of the importance of activities and the harm of prolonged sitting and ways to avoid it (28.64%), the nutritional value of animal foods and eating suggestions (23.45%), and the scientific intake suggestions for various processed animal foods (22.11%); the remaining were 11 attribute demands with no differences. In the quadrant diagram analysis, the demand items located in the maintenance zone, competitive advantage zone, improvement zone, and minor improvement zone were 5, 5, 8, and 7, respectively. Conclusions College students have different demands in dietary nutrition health education, and whether these demands are met affects their satisfaction in different ways. Among them, education on the intake of dairy products, whole grains, and beans has the greatest impact on satisfaction.

Objective: To explore relationship of sleep quality with overweight and obesity among middle school students, so as to provide a reference basis for improving adolescent sleep health. Methods: From September to December 2023, 5 713 middle school students aged 13 to 18 were selected by stratified cluster random sampling method in six regions, including Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi. Sleep quality survey was conducted on middle school students by Pittsburgh Sleep Quality Index. Height and weight were measured, and World Health Organization s standards for growth and development of children and adolescents was used to evaluate their nutritional status. Both χ 2 test and Logistic regression analysis were used to analyze the association between sleep quality and nutritional status of middle school students. Results: The non compliance detection rate of sleep quality was 38.4% among girls, but 29.2% among boys, and the difference was of statistical significance( χ 2=54.08, P < 0.01 ). The detection rate of substandard sleep quality was 34.2% in the group with normal nutritional status, 38.3% in the group with overweight, 43.7% in the group with obesity and 26.0% in the group with emaciation, and the difference in the rates of substandard sleep quality among middle school students of different nutritional status was statistically significant ( χ 2=68.15, P <0.01). Logistic regression analysis showed that, after controlling for mental health and physical activity, the detection rate of substandard sleep quality in the obese groups was 1.30 times higher than that in the normal group, respectively( OR =1.30, 95% CI =1.06- 1.59 , P <0.01). Conclusions Sleep quality is correlated with overweight and obesity among middle school students, and there are gender differences. Intervention policies should be formulated according to the characteristics of different genders.

ObjectiveFunctional near-infrared spectroscopy (fNIRS), a novel non-invasive technique for monitoring cerebral activity, can be integrated with upper limb rehabilitation robots to facilitate the real-time assessment of neurological rehabilitation outcomes. The rehabilitation robot is designed with 3 training modes: passive, active, and resistance. Among these, the resistance mode has been demonstrated to yield superior rehabilitative outcomes for patients with a certain level of muscle strength. The control modes in the resistance mode can be categorized into dynamic and static control. However, the effects of different control modes in the resistance mode on the motor function of patients with upper limb hemiplegia in stroke remain unclear. Furthermore, the effects of force, an important parameter of different control modes, on the activation of brain regions have rarely been reported. This study investigates the effects of dynamic and static resistance modes under varying resistance levels on cerebral functional alterations during motor rehabilitation in post-stroke patients. MethodsA cohort of 20 stroke patients with upper limb dysfunction was enrolled in the study, completing preparatory adaptive training followed by 3 intensity-level tasks across 2 motor paradigms. The bilateral prefrontal cortices (PFC), bilateral primary motor cortices (M1), bilateral primary somatosensory cortices (S1), and bilateral premotor and supplementary motor cortices (PM) were examined in both the resting and motor training states. The lateralization index (LI), phase locking value (PLV), network metrics were employed to examine cortical activation patterns and topological properties of brain connectivity. ResultsThe data indicated that both dynamic and static modes resulted in significantly greater activation of the contralateral M1 area and the ipsilateral PM area when compared to the resting state. The static patterns demonstrated a more pronounced activation in the contralateral M1 in comparison to the dynamic patterns. The results of brain network analysis revealed significant differences between the dynamic and resting states in the contralateral PFC area and contralateral M1 area (F=4.709, P=0.038), as well as in the contralateral PM area and ipsilateral M1 area (F=4.218, P=0.049). Moreover, the findings indicated a positive correlation between the activation of the M1 region and the increase in force in the dynamic mode, which was reversed in the static mode. ConclusionBoth dynamic and static resistance training modes have been demonstrated to activate the corresponding brain functional regions. Dynamic resistance modes elicit greater oxygen changes and connectivity to the region of interest (ROI) than static resistance modes. Furthermore, the effects of increasing force differ between the two modes. In patients who have suffered a stroke, dynamic modes may have a more pronounced effect on the activation of exercise-related functional brain regions.

Objective To explore the changing trend in the disease burden of gout in China from 1990 to 2021, and analyze the incidence, prevalence, and disability-adjusted life years (DALYs) by age and gender, with comparisons to global patterns, and to predict the disease burden of gout in China in 2030. Methods Data from the Global Burden of Disease (GBD) database were used to analyze changes in gout burden. Joinpoint regression was used to estimate the average annual percentage change (AAPC) with 95% confidence intervals (CIs). Comparative analyses were conducted on data from China and the world, and an ARIMA model was used to project China's gout burden in 2030. Results From 1990 to 2021, China's age-standardized incidence rate (ASIR) rose from 122.52 to 151.61/100,000, exceeding the global rise from 93.09 to 109.07/100,000. The age-standardized prevalence rate (ASPR) in China increased from 640.67/100,000 to 810.35/100,000, compared to a global rise from 536.54/100,000 to 653.81/100,000. The age-standardized DALYs rate (ASDR) in China increased from 20.2/100,000 to 25.43/100,000, surpassing the global increase from 16.67/100,000 to 20.21/100,000. AAPCs for ASIR, ASPR, and ASDR in China were 0.70%, 0.77%, and 0.75%, respectively, all higher than global rates. Middle-aged and elderly men faced the highest burden. It was predicted that there will be a decline in China's ASIR and ASPR by 2030, while ASDR will remain stable. Conclusion The disease burden of gout in China has increased significantly, outpacing global trends. Targeted interventions for hyperuricemia, particularly in elderly men, are crucial to reduce the future disease burden.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Traditional Chinese medicine(TCM) resources are an important foundation for the theory and practice of TCM. Rare and endangered TCM, as a significant component of these resources, plays an essential role. Conducting research on substitutes for rare and endangered TCM resources is of great significance for alleviating resource shortages, promoting the sustainable utilization of TCM, and advancing TCM modernization. This paper reviews the conservation achievements of rare and endangered Chinese medicinal materials in China and organizes the substitution methods for these materials. Currently, the main substitution approaches include introduction and domestication, tissue culture, varietal replacement, and artificial synthesis. Furthermore, this paper proposes the following approaches for researching the application scenarios of rare and endangered medicinal materials, i.e., tracing the historical context of their use to clarify foundational principles; verifying disease classifications to strengthen the clinical application scenarios of these materials; analyzing the evolution patterns of prescription formulations to strengthen the mining of the compatibility application scenarios of rare and endangered medicinal materials; scientifically evaluating to strengthen the application scenario research and development of endangered Chinese patent medicine industry. These efforts aim to promote the scientific substitution and sustainable utilization of rare and endangered medicinal materials and their substitutes.
Drugs, Chinese Herbal/chemistry* ; Humans ; Medicine, Chinese Traditional ; China ; Plants, Medicinal/growth & development* ; Endangered Species ; Conservation of Natural Resources ; Animals

OBJECTIVES: To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels. METHODS: The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT). RESULTS: The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049). CONCLUSIONS The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans ; Adult ; Male ; Attention/physiology* ; Female ; Middle Aged ; Reproducibility of Results ; Young Adult ; Psychometrics

Host-derived small RNAs are emerging as critical regulators in the dynamic interactions between host tissues and the microbiome, with implications for microbial pathogenesis and host defense. Among these, transfer RNA-derived small RNAs (tsRNAs) have garnered attention for their roles in modulating microbial behavior. However, the bacterial factors mediating tsRNA interaction and functionality remain poorly understood. In this study, using RNA affinity pull-down assay in combination with mass spectrometry, we identified a putative membrane-bound protein, annotated as P-type ATPase transporter (PtaT) in Fusobacterium nucleatum (Fn), which binds Fn-targeting tsRNAs in a sequence-specific manner. Through targeted mutagenesis and phenotypic characterization, we showed that in both the Fn type strain and a clinical tumor isolate, deletion of ptaT led to reduced tsRNA intake and enhanced resistance to tsRNA-induced growth inhibition. Global RNA sequencing and label-free Raman spectroscopy revealed the phenotypic differences between Fn wild type and PtaT-deficient mutant, highlighting the functional significance of PtaT in purine and pyrimidine metabolism. Furthermore, AlphaFold 3 prediction provides evidence supporting the specific binding between PtaT and Fn-targeting tsRNA. By uncovering the first RNA-binding protein in Fn implicated in growth modulation through interactions with host-derived small RNAs (sRNAs), our study offers new insights into sRNA-mediated host-pathogen interplay within the context of microbiome-host interactions.
Fusobacterium nucleatum/growth & development* ; RNA-Binding Proteins/genetics* ; Bacterial Proteins/genetics* ; RNA, Bacterial/metabolism* ; Humans ; RNA, Transfer/metabolism*