Report on Childhood Obesity in China (4) Prevalence and Trends of Overweight and Obesity in Chinese Urban School-age Children and Adolescents, 1985-2000

Objective To describe the nationwide prevalence of childhood overweight/obesity, and their group variations and trends over the past 20 years in the Chinese urban population. Methods Data sets of boys and girls at the age of 7-18 years collected from the series of Chinese national surveillance on students＇ constitution and health （CNSSCH） between 1985 and 2000 were divided into five socioeconomic and demographic groups, while BMI classification reference proposed by Working Group on Obesity in China （WGOC） was used as screening reference to calculate the prevalence and trends of overweight/obesity in these groups. Results In 2000, the prevalence of obesity and overweight in boys aged 7-18 years was 11.3% and 6.5% in Beijing, 13.2% and 4.9% in Shanghai, 9.9% and 4.5% in coastal big cities, and 5.8% and 2.0% in coastal medium/small-sized cities, respectively, while the prevalence of of obesity and overweight in girls of the same age group was 8.2% and 3.7% in Beijing, 7.3% and 2.6% in Shanghai, 5.9% and 2.8% in coastal big cities, and 4.8% and 1.7% in coastal medium/small-sized cities, respectively. The prevalence of obesity was low in most of the inland cities at an early stage of epidemic overweight. The epidemic manifested a gradient distribution in groups, which was closely related to status （SES） of the study population. However, a dramatic and steady increasing trend was witnessed among all sex-age subgroups in the five urban groups, and such a trend was stronger in boys than in girls, and much stronger in children than in adolescents. Conclusion Although China is at an early stage of epidemic obesity by and large, the prevalence of obesity in her urban population, particularly in coastal big cities has reached the average level of developed countries. The increasing trend has been rapid since early 1990s, and the increments in obesity and overweight are exceptionally high. The prospect of epidemic obesity in China is in no way optimistic. Therefore, preventive program should be focused on the improvement of the balance between caloric intake and energy expenditure, and interventions aimed at changing children＇s life styles.

Chinese Urbanization： Achievements and Prospects to Be Pursued

This paper systematically reviews the different stages of China＇s urbanization process since 1949, its achievements and problems it faces. It offers in-depth discussion on the trends of Chinese urbanization, i.e. maintaining rapid growth; making small and medium- sized cities the main driver in development; and focusing on central and western China as the major areas to be urbanized. This paper analyzes new-type urbanization for instance to set up comprehensive urban system that meets the requirements of having a high urbanization level, such as focusing on developing medium-sized cities of one to two million people, using city clusters to encourage population concentration and following an urban construction model that is intensive and compact; and finally this paper proposes policy suggestions for boosting the healthy development of new-type urbanization, including reforming current models for urban-rural governance and establishing development zones, reactivating the normal process of creating cities, and establishing and improving relevant policy systems.

Classification of Emergency Responses to Fatal Traffic Accidents in Chinese Urban Areas

Fatal traffic accidents in urban areas can adversely affect the urban road traffic system and pose many challenges for urban traffic management.Therefore,it is necessary to first classify emergency responses to such accidents and then handle them quickly and correctly.The aim of this paper is to develop an evaluation index system and to use appropriate methods to investigate emergency-response classifications to fatal traffic accidents in Chinese urban areas.This study used a multilevel hierarchical structural model to determine emergency-response classification.In the model,accident attributes,urban road network vulnerability,and institutional resilience were used as classification criteria.Each evaluation indicator was selected according to importance ranking and independence screening and was given an interpretation and a quantitative criterion.The Fuzzy Delphi Method was used to rank the importance of the evaluation indices and the combined weight of each index was calculated using the G1 method.Finally,the case of a fatal traffic accident was used to validate the model.The results showed that the multilevel hierarchical structural model,Fuzzy Delphi Method,and G1 method can effectively address the problem of emergency-response classification.Because of its simplicity and adaptability,the approach presented here could be useful for decisionmakers and practitioners for determining emergency-response classifications.

Discussion on the Path of Chinese Urbanization

The urbanization is the course that industries and economic activities concentrate, and the history of urban development can be divided into three periods： early urbanization, industrial urbanization and post-industrialized urbanization. Marketization is the foundation of the city, and the development of non-agricultural industry such as commerce, service trade and secondary industry has spurred the prosperity of the city enormously. China has led rfiarketing economy into the course of industrialization and urbanization gradually in more than 20 years, but the level of marketization is still relatively low. China should endeavor to strengthen the tertiary industry, improve its quality and level, in order to get the full outside-effect and diffusion effect of it.

Chinese urbanization 2050： SD modeling and process simulation

Is Chinese urbanization going to take a long time, or can its development goal be achieved by the government in a short time? What is the highest stable urbanization level that China can reach? When can China complete its urbanization? To answer these questions, this paper presents a system dynamic(SD) model of Chinese urbanization, and its validity and simulation are justified by a stock-flow test and a sensitivity analysis using real data from 1998 to 2013. Setting the initial conditions of the simulation by referring to the real data of 2013, the multi-scenario analysis from 2013 to 2050 reveals that Chinese urbanization will reach a level higher than 70% in 2035 and then proceed to a slow urbanization stage regardless of the population policy and GDP growth rate settings; in 2050, Chinese urbanization levels will reach approximately 75%, which is a stable and equilibrium level for China. Thus, it can be argued that Chinese urbanization is a long social development process that will require approximately20 years to complete and that the ultimate urbanization level will be 75–80%, which means that in the distant future, 20–25% of China's population will still settle in rural regions of China.

Empirical Analysis on Chinese Urban Residents＇ Behavior＇s Differences in Different income -a SAM Multiplier Analysis

Based on SAM Multiplier theory, this paper discloses the structural characteristics of Chinese Urban Residents＇ Consumption. The main conclusions are as follows. Firstly, economic development in different sectors is unbalanced and especially consumption insufficiency is emerging; secondly, the effects of households by income group on the commodities are different; thirdly, consumption capability of Chinese urban residents is in the stage of durable consumable, but the highest income group is swifting to the higher stage and households with low income are entering the stage; finally, Chinese clothing, service and information industries have huge potential to develop while the latent demands are scarcity for that of the food, resident and education, cultural and entertainment industries.

Chinese Urban Dictionary:Yanzhi

When you’re good at math,things are much easier measured when expressed in numbers.Why waste minutes describing the taste of a really good bottle of wine,for instance?In China,we simply say:'It was a$20,000 bottle of wine'and the job is done,so everyone can get on with generating GDP.The same can apply to beauty.Shakespeare might compare a

Lessons Africa Can Learn From China’s Experience in Urbanization

The rapid urbanization of Africa is facing a multitude of challenges.This paper analyzes the seven major issues currently plaguing African urbanization:regional development imbalances,the disconnect between urbanization and economic growth,increasing complexities in the urbanization process,the constraining effect of lagging agriculture,low quality of urbanization,lack of coordination between urbanization and modernization,and excessive population concentration in urban areas.To address these issues,Africa can draw valuable lessons from other countries,particularly from China’s experience in urban development.Since 1978,China has seen a rapid increase in its urbanization rate.The key to this success lies in policy orientation,labor force transition,prioritized regional development,and attracting foreign investment among other strategies.By learning from China’s experience,African countries can optimize agricultural modernization,strengthen the manufacturing sector,increase investment in infrastructure,and accelerate the process of digitization,thereby creating new opportunities for their urbanization process.This paper explores the rapidly developing urbanization process in Africa and the accompanying challenges.It also analyzes China’s experience in urbanization,offering insights and recommendations for Africa’s urban development.

Risk factors and pain status due to diabetic neuropathy in chronic long-term diabetic patients in a Chinese urban population

Background With economic growth and urbanization there have been significant changes in the life style and diet of urban residents in large cities of China, which is experiencing a rapid increase in the prevalence of diabetes. While high prevalence of diabetes has been reported, little is known of the long-term effects of diabetes in such a large population. The aim of this study was to estimate the morbidity rate of diabetic peripheral neuropathy （DPN） in a Chinese urban diabetic population with more than 10 years＇ disease duration, and evaluate the relevant risk factors. The clinical manifestation of DPN and pain status was also assessed. Methods Five hundred and sixty-five diabetes patients were recruited into the study. Symptoms and examination helped diagnose neuropathy. The clinical manifestation of DPN was assessed with a visual analog pain score （VAS）. Diabetic complication status was determined from medical records. Serum lipids and lipoproteins, glycosylated hemoglobin （HbAlc）, and the urinary albumin excretion rate were measured. Results The morbidity rate of DPN was 46.6%. HbAlc, hyperlipidemia, and retinopathy were significantly associated with neuropathy, and these risk factors were correlated with other diabetic micro and/or macrovascular complications. The average VAS pain score of the DPN patients was 4.12＋2.07. Severe and moderate pain was experienced by 11.4% and 40.5% respectively of DPN patients. About 3.7% of diabetic subjects had lower limb ulcer or amputation. Conclusions The morbidity rate of DPN for diabetic patients with 〉10 years duration is very high compared to the range reported for other populations in the world. The risk factors for DPN include HbAlc, hyperlipidemia, and retinopathy. In long-standing diabetic patients, DPN was not associated with diabetic duration, and half of the DPN patients experienced considerable daily suffering.

Estimation method for a skip-stop operation strategy for urban rail transit in China

The skip-stop operation strategy （SOS） is rarely applied to Chinese urban rail transit networks because it is a simple scheme and a less universally popular transportation service. However, the SOS has performance advantages, in that the total trip time can be reduced depending on the number of skipped stations, crowds of passengers can be rapidly evacuated at congested stations in peak periods, and the cost to transit companies is reduced. There is a contradiction between reducing the trip time under the SOS and increasing the passengers＇ waiting times under an all-stop scheme. Given this situation, the three objectives of our study were to minimize the waiting and trip times of all passengers and the travel times of trains. A comprehensive estimation model is presented for the SOS. The mechanism through which the trip time for all passengers is affected by the SOS is analyzed in detail. A 0-I integer programming formulation is established for the three objectives, and is solved using a tabu search algorithm. Finally, an example is presented to demonstrate that the estimation method for the SOS is capable of optimizing the timetable and operation schemes for a Chinese urban rail transit network.

Theme: Chinese Media and Urban Development

The Media and Urban Development Forum hosted by Communication University of China and Singapore Media Corporation will be held in March 2009 in Beijing.China is now witnessing an unprecedented climax of urbanization and construction It has been recognized that the competition

The socio-spatial dimension of behavior analysis:Frontiers and progress in Chinese behavioral geography

The interaction between urban space and individual behavior has led to essential social, economic and environmental consequences. Behavioral geography provides a new effective theoretical and methodological framework to investigate behavior patterns in cities. In recent years, behavior approach has become an influential analytical paradigm in Chinese urban geography. This paper provides an overview of behavioral geography research in China, by introducing the theoretical and empirical progress in behavior analysis. It is argued that behavioral approach offers a new perspective to understanding China＇s urban sociospatial reconstruction and addressing social and environmental issues at micro scale. Although theoretical development still lags behind developed countries, Chinese scholars have made much progress in empirical investigations of classical socio-spatial behavior theories. This paper also provides an overview of new trends in Chinese behavioral geography that has started to apply the behavioral approach to urban social, economic and environmental issues. This paper suggests that social dimensions of behavior should be addressed more comprehensively and rigorously by using interdisciplinary theoretical and methodological frameworks, to better understand the complexity of Chinese cities and research the critical social and environmental issues in cities.

A deep learning method for traffic light status recognition

Real-time and accurate traffic light status recognition can provide reliable data support for autonomous vehicle decision-making and control systems.To address potential problems such as the minor component of traffic lights in the perceptual domain of visual sensors and the complexity of recognition scenarios,we propose an end-to-end traffic light status recognition method,ResNeSt50-CBAM-DINO(RC-DINO).First,we performed data cleaning on the Tsinghua-Tencent traffic lights(TTTL)and fused it with the Shanghai Jiao Tong University’s traffic light dataset(S2TLD)to form a Chinese urban traffic light dataset(CUTLD).Second,we combined residual network with split-attention module-50(ResNeSt50)and the convolutional block attention module(CBAM)to extract more significant traffic light features.Finally,the proposed RC-DINO and mainstream recognition algorithms were trained and analyzed using CUTLD.The experimental results show that,compared to the original DINO,RC-DINO improved the average precision(AP),AP at intersection over union(IOU)=0.5(AP50),AP for small objects(APs),average recall(AR),and balanced F score(F1-Score)by 3.1%,1.6%,3.4%,0.9%,and 0.9%,respectively,and had a certain capability to recognize the partially covered traffic light status.The above results indicate that the proposed RC-DINO improved recognition performance and robustness,making it more suitable for traffic light status recognition tasks.