Latest ArticlesTo analyze the influencing factors of exercise deficiency disorder (EDD) in children and adolescents, with the aim of providing a reference for promoting physical activity and improving physical fitness in Chinese children and adolescents.
Seven Chinese and English databases, including PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Database, and VIP Database, were searched to identify relevant Chinese and English studies on EDD in children and adolescents published from database inception to August 2023. A systematic literature review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines to analyze the factors influencing EDD.
A total of 53 articles with 245777 participants were included. Gender, race/ethnicity, self-efficacy, perceptual ability, motivation to be active, cognitive ability, motor skills, parental support, parental involvement, socio-cultural factors, family support, parental education, parental marital status, peer support, role model, school environment, availability of sports facilities, built environment around the home, urban built environment, geographic region, urban-rural differences, weather conditions are positively correlated with EDD in children and adolescents. Age, weight, sedentary behavior, socioeconomic level, and household income are negatively correlated with EDD in children and adolescents. There is no significant correlation between parenting style, school performance, and EDD in children and adolescents.
EDD in children and adolescents is influenced by factors in five dimensions: demographic and biological factors, psychological cognition and emotions, behavioral characteristics and skills, social and cultural factors, and the physical environment. Relevant authorities should use these factors to guide targeted prevention and intervention efforts to improve the physical activity and health levels of Chinese children and adolescents.
Most people today spend a significant amount of time indoors. In addition to indoor pollutants, outdoor pollutants can also enter indoor spaces through human activities or air currents. As a critical category of environmental pollution, indoor pollutants pose serious risks to human health. Indoor pollutants vary widely and include particulate matter, dust, sulfur dioxide, and nitrogen dioxide. Prolonged exposure to these pollutants can cause tear film abnormalities, keratitis, nonspecific or allergic conjunctivitis, and even retinal damage. This article examines the relationship between indoor pollutants and ocular damage by reviewing reports on pollutants and eye diseases in databases such as PubMed, Medline, Google Scholar, and China National Knowledge Infrastructure (CNKI). It further analyzes the specific effects of various indoor pollutants on ocular tissues (e.g., tear film, cornea, conjunctiva, lens, and retina), summarizes their potential hazards and toxic mechanisms, and suggests effective strategies to mitigate the risks of ocular exposure.
Under the implementation of the "Healthy China 2030" Planning Outline, the construction of public health practice bases and the cultivation of practice-oriented public health professionals have become increasingly important. School of Public Health, Peking University based on the integration of its existing practical teaching bases, has explored a new practical teaching model. This model uses traditional base practice as the main thread, enhanced by practical micro-courses, and verified by practical case assessments. The school has strengthened the construction of a "dual-qualified" faculty team in public health, established a comprehensive practical teaching evaluation system, and built a high-level practical teaching platform for public health. This new model provides a valuable reference for cultivating practice-oriented public health professionals who meet the needs of social development and public health undertakings.
To analyze the epidemiological investigation scenario patterns of respiratory infectious disease outbreaks and design intelligent data collection strategies for different epidemiological investigation data collection objectives.
We systematically reviewed and sorted the occurrence scenarios of typical respiratory infectious disease outbreaks in China. Using literature research, focus group interviews, and expert consultations, we summarized the structural and characteristic patterns of epidemiological investigation scenarios for respiratory infectious diseases. Combined with currently used intelligent data collection technologies and tools, we designed intelligent data collection strategies for epidemiological investigations of respiratory infectious disease outbreaks, established intelligent data collection modules for epidemiological investigations, and analyzed and organized the specific collection content and modes of each module.
Epidemiological investigation scenario patterns of respiratory infectious disease outbreaks include case-based epidemiological investigations and epidemiological investigations of affected sites. Intelligent collection strategies were determined based on the data collection objectives of the epidemiological investigations, including detailed and precise case-based epidemiological investigation data collection for a small number of specific high-risk populations, simple and rapid case-based epidemiological investigation data collection for a large number of unknown risk populations, and epidemiological investigation data collection for affected sites. Seven intelligent data collection modules for epidemiological investigations were established, and a total of 1 012 epidemiological investigation collection variables were organized.
Based on the transmission scenarios of respiratory infectious disease outbreaks and the data collection objectives of epidemiological investigations under different transmission scenarios, this study proposes targeted intelligent data collection strategies for epidemiological investigations of respiratory infectious disease outbreaks, establishes intelligent collection modules, and determines the collection content and modes, laying the foundation for the design and development of intelligent epidemiological investigation systems.
To enhance the integration, sharing, and utilization of full-chain tumor risk factor data, this study employed big data technologies to integrate and analyze multi-source heterogeneous tumor risk factor surveillance data. Guided by the standardized datasets for tumor risk factor surveillance, a six-tiered multi- departmental resource-sharing tumor risk factor surveillance data management platform was constructed, encompassing data production, data exchange, data computation, data application, user access, and data supervision layers. This platform provides functionalities for data sharing, comprehensive querying, and visualized analysis of tumor risk factor surveillance data. Consequently, it enables a better understanding of the prevalence and trends of tumor incidence, morbidity, mortality, and associated risk factors among residents. This facilitates cross-departmental collaboration in tumor risk factor surveillance, providing scientific evidence and robust data support for national tumor prevention and control strategy formulation and related health policy evaluation.
To implement the national Center for Disease Control and Prevention’s mandate for the development of provincially coordinated regional infectious disease emergency command and operation platforms and to enhance the efficiency and command capabilities of infectious disease emergency response. Based on the requirements of the national plan, combined with an analysis of the current status and shortcomings of emergency management informatization in Zhejiang province, this article proposes a design framework and implementation path for a provincially coordinated regional emergency command and operation platform. The overall system architecture is designed around the emergency command operation process, incorporating technologies such as artificial intelligence language models, WebGIS, multimedia converged communication, and situational awareness models to construct a digital and intelligent emergency command and operation platform. The platform encompasses seven key subsystems: emergency duty management, intelligent epidemiological investigation, cross-regional collaborative investigation, visualized display, auxiliary decision-making, comprehensive management of emergency command and dispatch, and comprehensive management of health emergency resource support. It preliminarily achieves unified command, efficient collaboration, scientific decision-making, and closed-loop information management throughout the entire emergency response process. This research contributes to promoting the digital and intelligent development of infectious disease emergency command and management, providing a valuable reference model for the construction of provincially coordinated platforms in various regions.
Artificial intelligence (AI) has become a driving force for innovation in public health systems, significantly enhancing the efficiency and accuracy of public health services, particularly in disease risk monitoring, diagnosis, and treatment. However, the integration of AI with public health strategies is still in its early stages and faces numerous challenges. Continuous examination of potential problems and risks is crucial to ensure that the application of AI in public health is both safe and meets practical needs. This article provides an overview of the current state of AI in improving the efficiency of public health services, enhancing disease surveillance and response capabilities, and promoting health equity in the public health field. It also highlights the challenges faced by AI in data collection, algorithm accuracy, ethics, and privacy. This review aims to provide a reference for optimizing and enhancing public health strategies through the application of AI.
To understand the job competency of community geriatric mental health service personnel in China and its influencing factors, and to provide a reference for actively addressing the mental health problems and needs of the elderly and improving the capacity of primary-level geriatric mental health services.
In November 2019, a convenience sampling method was used to recruit 5 806 managers and professionals at all levels engaged in mental health services from 818 communities sampled in 31 provinces (autonomous regions, and municipalities) in China for a questionnaire survey. Latent class analysis (LCA) was used to explore the latent variables of attitudes towards community geriatric mental health services, and a multiple linear regression model was used to analyze the influencing factors of job competency among community geriatric mental health service personnel.
The comprehensive job competency scores of the 5 793 Chinese community geriatric mental health service personnel finally included in the analysis ranged from 0 to 5, with an average score of (2.55±1.08). The LCA results showed that the latent classes of attitudes towards community geriatric mental health services were high identification and high attitude professional group (n=1 531, 26.43%) and low identification and low attitude group (n=4 262, 73.57%). Multiple linear regression analysis showed that compared with men, the average comprehensive job competency score of female community geriatric mental health service personnel increased by 0.109 points (β=0.109, t=3.35, P<0.001); compared with the 18-29 age group, the average comprehensive job competency scores of community geriatric mental health service personnel aged 30–44, 45–59, and ≥60 years decreased by 0.156 points (β= –0.156, t= –3.40, P<0.001), 0.228 points (β= –0.228, t= –4.99, P<0.001), and 0.285 points (β= –0.285, t= –4.57, P<0.001), respectively; compared with those with a high school education or below, the average comprehensive job competency scores of community geriatric mental health service personnel with college, undergraduate, and master's degrees or above increased by 0.185 points (β=0.185, t=4.33, P<0.001), 0.385 points (β=0.385, t=8.83, P<0.001), and 0.518 points (β=0.518, t=6.16, P<0.001), respectively; compared with those with no professional title, the average comprehensive job competency scores of community geriatric mental health service personnel with intermediate and senior professional titles increased by 0.148 points (β=0.148, t=3.75, P<0.001) and 0.177 points (β=0.177, t=2.97, P=0.003), respectively.
The job competency of community geriatric mental health service personnel in China is relatively low, and age, gender, education level, and professional title are the main influencing factors.
To analyze the food intake of primary and middle school students in areas implementing the Rural Compulsory Education Student Nutrition Improvement Program in 2021 and its influencing factors.
Following the principle of random sampling, in 2021, in 727 national pilot counties in 31 provinces (autonomous regions, municipalities) and the Xinjiang Production & Construction Corps, approximately 10% of primary and middle schools were selected in urban and rural areas, respectively. From the third grade of primary school to the third grade of junior high school, one class was selected from each grade, with approximately 40 students per class, equally divided between male and female. Questionnaires were used to collect data on the frequency of food intake among primary and middle school students.
37.019% of primary and middle school students consumed meat once or more per day; 24.578% consumed one or more eggs per day; only 4.333% consumed 300 mL/d or more of milk; 30.212% consumed fruit once or more per day; 33.352% consumed three or more kinds of vegetables per day; and 10.170% consumed beans once or more per day. Geographic distribution, gender, school level, and left-behind child status were influencing factors for meat, egg, milk, fruit, vegetable, and bean intake among primary and middle school students; boarding status was an influencing factor for meat, milk, fruit, vegetable, and bean intake.
The proportion of primary and middle school students in areas implementing the Chinese Student Nutrition Improvement Program who met the recommended dietary guidelines for various food groups showed an upward trend, but insufficient intake may still exist. In the future, targeted dietary guidance and nutrition education should be carried out during the further implementation of the Student Nutrition Improvement Program to improve the effectiveness of the program and promote the healthy growth of primary and middle school students in China.
To investigate the relationship between maternal gingival bleeding during pregnancy and neurodevelopmental delay in their one-year-old children, and to provide scientific evidence for prenatal and early childhood health care.
Based on the Anhui-Wuhu Birth Cohort established by the Wuhu Maternal and Child Health Hospital in Anhui province, 528 mothers and their one-year-old children who had regular prenatal check-ups at the Wuhu Maternal and Child Health Hospital since early pregnancy (<13+6 weeks) and were followed up in December 2022 were included in this study. A self-designed questionnaire, "Maternal and Child Health Questionnaire during Pregnancy and Postpartum", was used to investigate maternal gingival bleeding symptoms during early and mid-pregnancy. The Chinese version of the "Ages and Stages Questionnaires, Third Edition (ASQ-3)" was used to assess the neurodevelopment of one-year-old children. Multivariable unconditional logistic regression models were used to analyze the relationship between maternal gingival bleeding symptoms during pregnancy and neurodevelopmental delay in their one-year-old children.
A total of 442 mother-child pairs with complete data from early and mid-pregnancy were included in the final analysis, including 229 boys and 213 girls. Among the mothers, 27 (6.10%), 16 (3.62%), and 84 (19.00%) experienced oral bleeding, bleeding when biting hard objects, and bleeding when brushing teeth during early pregnancy, respectively; 45 (10.18%), 26 (5.88%), and 102 (23.08%) experienced the same during mid-pregnancy, respectively. Among the one-year-old children, 201 (45.48%), 54 (12.22%), 85 (19.23%), 79 (17.87%), 66 (14.93%), and 88 (19.91%) experienced overall neurodevelopmental delay, communication delay, gross motor delay, fine motor delay, problem-solving delay, and personal-social delay, respectively. After adjusting for confounding factors, including maternal age, education level, annual household income, pre-pregnancy body mass index, primiparity status at the time of prenatal follow-up, history of cesarean section, passive smoking during pregnancy, depression during pregnancy, child's sex, season of birth, mode of delivery, preterm birth, low birth weight, and feeding mode, maternal bleeding when brushing teeth during mid-pregnancy was positively associated with communication delay (OR=2.06, 95%CI: 1.04–4.76) and gross motor delay (OR=2.00, 95%CI: 1.13–3.54) in their one-year-old children. After stratification by sex, maternal oral bleeding in early pregnancy was positively associated with delayed gross motor skill development (OR=4.22, 95%CI: 1.07–16.63), fine motor skill development (OR=5.99, 95%CI: 1.35–26.57) in boys, and delayed problem-solving skill development (OR=3.49, 95%CI: 1.35–14.93) in girls. Maternal bleeding when biting hard objects in early pregnancy (OR=8.27, 95%CI: 1.44–47.56) and bleeding when brushing teeth (OR=3.97, 95%CI: 1.55–10.17) were both positively associated with delayed gross motor skill development in boys. Maternal bleeding when biting hard objects in mid-pregnancy was positively associated with delayed gross motor skill development (OR=4.85, 95%CI: 1.05–22.49) in boys, and maternal bleeding when brushing teeth in mid-pregnancy was positively associated with delayed gross motor skill development (OR=3.42, 95%CI: 1.41–8.27) and communication skill development (OR=2.93, 95%CI: –1.08–7.98) in boys.
Maternal gingival bleeding during pregnancy is a risk factor for neurodevelopmental delay in their one-year-old children and is related to gender. Therefore, it is necessary to improve the level of oral health care services for pregnant women.