Objective: To explore the relationship between sleep characteristics, physical activity patterns, with depressive and anxiety symptoms in college students, so as to provide reference for student mental health promotion. Methods: From September to November 2023, a convenience sampling method was used to select 7 954 college students aged 18-22 years from 9 universities in Shanghai, Hubei, and Jiangxi. Assessments were conducted using the International Physical Activity Questionnaire Short-Form (IPAQ-SF), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale-7 (GAD-7), and Pittsburgh Sleep Quality Index (PSQI) to evaluate physical activity, depressive and anxiety symptoms, and sleep quality, respectively. Logistic regression analysis was employed to explore the impact of sleep characteristics and physical activity patterns on depressive and anxiety symptoms and their comorbidity among college students. Results: The detection rates for depressive symptoms, anxiety symptoms, and comorbid depression and anxiety symptoms were 25.67%, 35.39%, and 23.15%, respectively. Factors such as gender, grade, household registration, parental education level, annual family income, family structure, and dietary habits were all associated with the detection rates of depressive and anxiety symptoms and their comorbidity (χ2=4.41-118.39, P<0.05). Physical activity patterns, sleep duration, sleep quality, and sleepwake characteristics were also associated with the occurrence of depressive and anxiety symptoms and their comorbidity (χ2=9.66-627.70, P<0.05). Logistic regression analysis showed that college students who stayed up late and slept less than 7 had the highest risk of depressive and anxiety symptoms and their comorbidity (OR=1.93, 1.85, 1.88, P<0.05). Compared to regular physical activity patterns, insufficient physical activity patterns were associated with an increased risk of depressive and anxiety symptoms (all OR=1.18, P<0.05). Further stratified analysis results showed that the risk of depression, anxiety and their comorbidity increased in college students who stayed up late and slept less than 7 h, went to bed before midnight and slept less than 7 h, or went to bed before midnight and slept more than 7 h but did not have sufficient physical activity (P<0.05). Conclusions Sleep characteristics and physical activity patterns significantly affect depressive and anxiety symptoms in college students. Universities should strengthen sleep management and implement flexible physical activity interventions to help students establish healthy lifestyles.

ObjectiveIn recent years， with the sharp decline of wild resources in Arisaematis Rhizoma and Pinelliae Rhizoma and the immaturity of medicinal cultivation technology， their adulterants have appeared frequently in the market， and the main identifying characteristics have mostly disappeared in the circulation of medicinal materials. Therefore， there is an urgent need to establish a molecular identification method that can quickly and effectively identify the specificity of Arisaematis Rhizoma and Pinelliae Rhizoma. MethodAfter comparison of the rbcL sequences of Arisaematis Rhizoma，Pinelliae Rhizoma， and their adulterants， the specific enzyme cleavage sites Hae Ⅲ and Dra Ⅰ of Arisaematis Rhizoma and Pinelliae Rhizoma， respectively， were selected and identified by polymerase chain reaction-restriction fragment length polymorphism（PCR-RFLP）. The main system conditions of PCR-RFLP reaction were established and optimized， and their durability and the ability to detect genuine， adulterants， and mixed counterfeits were investigated. ResultThe PCR-RFLP identification method of Arisaematis Rhizoma and Pinelliae Rhizoma was established. After specific primer amplification， Arisaematis Rhizoma and Pinelliae Rhizoma could be digested by Hae Ⅲ and Dra Ⅰ-restricted endonucleases respectively， at annealing temperature of 54 ℃， the number of cycles of 35， and the amount of DNA template of 3-30 ng， producing two fragments or small cut fragments with a single band between 100-250 bp， whereas the mixed counterfeits were not cleaved and both showed a band at 250 bp. The method is highly accurate in identifying adulterants and mixed counterfeits of Arisaematis Rhizoma or Pinelliae Rhizoma. ConclusionThe PCR-RFLP method developed in this study allows for the rapid identification of Arisaematis Rhizoma and Pinelliae Rhizoma.

As a Chinese saying goes， "good Chinese medicinal material makes good medicine"， the quality of Chinese herbal medicines is related to the development prospect of Chinese medicine industry in China. With the rapid development of new technologies such as traceability methods and monitoring instruments， it is imperative to integrate and innovate traditional Chinese herbal medicines with new-generation information technology in view of the quality problems existing in the current production and circulation of Chinese herbal medicines， and it is of great significance for the construction of traceability system to ensure the quality and safety of Chinese herbal medicines and to promote the industry of Chinese herbal medicines to move towards high-quality development. This paper reviews the development history of the traceability system of Chinese herbal medicines in China， takes the influencing factors of the quality of Chinese herbal medicines as the entry point， and proposes that the construction of the traceability system should satisfy the traceability requirements of the characteristics of Chinese herbal medicines and their traditional medication experience. By analyzing the influencing factors of the quality of Chinese herbal medicines， it is pointed out that focusing on the influencing factors to build a traceability system is of great significance for targeting the problematic links at a later stage and exploring the interrelationship between environmental factors and the quality of Chinese herbal medicines. Based on the previous explorations， the author summarizes the system framework， functional modules and practical applications of the traceability system of Chinese herbal medicines， and looks forward to the development of a traceability system with risk early warning function and expert decision-making function in its functional development. Finally， based on the factors affecting the quality of Chinese herbal medicines， the author puts forward several thoughts on construction of the traceability system， and makes an in-depth analysis and puts forward a solution for the current situation that a unified， standardized and universal traceability system has not yet been built， with a view to providing ideas and references for the construction of traceability system of Chinese herbal medicines.