Objective:To understand the oral health status of urban and rural residents in China,the Fourth National Oral Health Epidemiological Survey (FNOHES) was conducted in 2015.Materials and methods:Based on the principles ...Objective:To understand the oral health status of urban and rural residents in China,the Fourth National Oral Health Epidemiological Survey (FNOHES) was conducted in 2015.Materials and methods:Based on the principles of multi-stage,stratified,equal capacity,and random sampling,the subjects included five groups of residents aged 3-5,12-15,35-44,55-64,and 65-74 years in all 31 provinces,municipalities,and autonomous regions except Hong Kong,Macao,and Taiwan.The total sample size was 172,425.The survey covered two areas,namely oral health status and knowledge,attitude and oral health behavior.Results:Residents in China had serious caries and poor periodontal condition.The prevalence of caries was above 50% in all age groups,subjects without periodontal disease accounted for <50%,and fewer than 50% of subjects brushed their teeth twice a day.Based on the results of the FNOHES,the following suggestions were proposed for improving the oral health in China in the future:to establish and improve the comprehensive prevention and control system for oral diseases,implement a comprehensive prevention and control strategy for priority groups,strengthen the oral health education for all people to improve oral health literacy,enhance dynamic monitoring to scientifically evaluate oral health status,and coordinate multi-party resources to establish and improve the oral health service security system.Conclusion:The oral health status of Chinese residents and their oral health behavior habits need to be improved.With the support of the administrative departments of the government and unremitting efforts of the oral health staff,all sectors of society must be coordinated to strengthen oral health education for the whole population.Furthermore,comprehensive prevention and control measures must be implemented for priority groups.展开更多
For a long time, oral disease is one of the major problems of the public health for its high prevalence and incidence throughout the world, which is especially true for low-income populations. Since China's economic ...For a long time, oral disease is one of the major problems of the public health for its high prevalence and incidence throughout the world, which is especially true for low-income populations. Since China's economic reform in 1978, great changes have taken place in China. These changes have significant impact on and have been reflected in oral disease trends in China. This paper provides an overview and assessment of the oral health status in China. It focuses on changes in the nation's demographic profile, in the marketplace, the oral disease status and trends. The paper also suggests some possible measures and strategies for bettering oral health in future China.展开更多
Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical I...Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully utilized.Data-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models.Therefore,data mining has unique advantages in clinical big-data research,especially in large-scale medical public databases.This article introduced the main medical public database and described the steps,tasks,and models of data mining in simple language.Additionally,we described data-mining methods along with their practical applications.The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.展开更多
文摘Objective:To understand the oral health status of urban and rural residents in China,the Fourth National Oral Health Epidemiological Survey (FNOHES) was conducted in 2015.Materials and methods:Based on the principles of multi-stage,stratified,equal capacity,and random sampling,the subjects included five groups of residents aged 3-5,12-15,35-44,55-64,and 65-74 years in all 31 provinces,municipalities,and autonomous regions except Hong Kong,Macao,and Taiwan.The total sample size was 172,425.The survey covered two areas,namely oral health status and knowledge,attitude and oral health behavior.Results:Residents in China had serious caries and poor periodontal condition.The prevalence of caries was above 50% in all age groups,subjects without periodontal disease accounted for <50%,and fewer than 50% of subjects brushed their teeth twice a day.Based on the results of the FNOHES,the following suggestions were proposed for improving the oral health in China in the future:to establish and improve the comprehensive prevention and control system for oral diseases,implement a comprehensive prevention and control strategy for priority groups,strengthen the oral health education for all people to improve oral health literacy,enhance dynamic monitoring to scientifically evaluate oral health status,and coordinate multi-party resources to establish and improve the oral health service security system.Conclusion:The oral health status of Chinese residents and their oral health behavior habits need to be improved.With the support of the administrative departments of the government and unremitting efforts of the oral health staff,all sectors of society must be coordinated to strengthen oral health education for the whole population.Furthermore,comprehensive prevention and control measures must be implemented for priority groups.
文摘For a long time, oral disease is one of the major problems of the public health for its high prevalence and incidence throughout the world, which is especially true for low-income populations. Since China's economic reform in 1978, great changes have taken place in China. These changes have significant impact on and have been reflected in oral disease trends in China. This paper provides an overview and assessment of the oral health status in China. It focuses on changes in the nation's demographic profile, in the marketplace, the oral disease status and trends. The paper also suggests some possible measures and strategies for bettering oral health in future China.
基金the National Social Science Foundation of China(No.16BGL183).
文摘Many high quality studies have emerged from public databases,such as Surveillance,Epidemiology,and End Results(SEER),National Health and Nutrition Examination Survey(NHANES),The Cancer Genome Atlas(TCGA),and Medical Information Mart for Intensive Care(MIMIC);however,these data are often characterized by a high degree of dimensional heterogeneity,timeliness,scarcity,irregularity,and other characteristics,resulting in the value of these data not being fully utilized.Data-mining technology has been a frontier field in medical research,as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models.Therefore,data mining has unique advantages in clinical big-data research,especially in large-scale medical public databases.This article introduced the main medical public database and described the steps,tasks,and models of data mining in simple language.Additionally,we described data-mining methods along with their practical applications.The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.