Publications by authors named "Gui-bo Chi"

Objective: To investigate the occurrence, distribution and risk factors of mobile phone dependence syndrome(MPDS)among college students in Guangzhou.

Methods: A unified questionnaire was adopted, with 2311 college students from 6 universities in Guangzhou investigated by cluster sampling. Distribution and risk factors of MPDS among different groups were analyzed by logistic regression.

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Objective: To explore the incidence and risk factors of campus violence in Guangzhou.

Methods: 2200 college students in three universities in Guangzhou were selected by cluster sampling method and were interviewed with self-designed questionnaire about the incidence and risk factors of campus violence in 2010. The final analysis sample was 2103.

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Objective: To explore the relationship between secular trend of road traffic injuries (RTI) and gross domestic product (GDP) per capita in China.

Methods: Statistical description was used in the data about cases, injuries, deaths, mileage mortality and 10 million population mortality from 1970 to 2009. Cluster analysis was used to classify the 31 provinces, municipalities and autonomous regions in China.

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Objective: To explore the development on infrastructure and professional contingence related to injury prevention and control, in China.

Methods: 38 Centers for Disease Control and Prevention (CDC) were investigated by using a self designed questionnaire and data was analyzed descriptively.

Results: At present, all the CDCs at provincial and city level had not set up a specific department related to injury prevention and control, except for Shanghai and Guangxi CDCs.

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Objective: To analyze and summarize the secular trend and influencing factors of road traffic injuries(RTI) in China, so as to provide evidence for the management of traffic safety.

Methods: Indexes as fatalities per 10,000 vehicles, fatalities per 100,000 population, fatalities per 10,000 kilometers, motorization(number of vehicles per 1000 population) and mortal coefficient were used. Clustering analysis and ranking correlation were used to analyze the relative factors.

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Objective: To evaluate the quality of life (QOL) of patients with hypertension.

Methods: Totally 319 patients with hypertension were investigated for their QOL in comparison with 319 healthy controls using the World Health Organization Quality of Life assessment instrument (WHOQOL-100).

Results: The scores of physical functions, psychological condition, independent ability, social relation, living environment, and personal faith and the total score of QOL-100 were significantly lower in the hypertensive patients than in the normal subjects (P<0.

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[Pattern of road traffic injuries in China].

Zhonghua Liu Xing Bing Xue Za Zhi

July 2004

Objective: To explore the pattern of road traffic injuries (RTI) in China and to furnish evidence to formulate strategy and measures to improve RTI.

Methods: Using the data from the National Statistical Office, Ministry of Communications and the Traffic Administration bureau, factors as the time trends, features and risk factors of RTI were analysed for all provinces in China.

Results: Over the past 51 years, RTI have increased more than 100-fold.

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Objective: To evaluate the influence of the surveillance system and preventive measurements on the control of severe acute respiratory syndrome (SARS) in a university in Guangdong Province.

Methods: A university with more than thirty thousand undergraduates, staff and their relatives was retrospectively studied, from which information regarding the status of epidemic, organization of leadership, disease control strategies and measures were collected and analyzed.

Results: The construction of the surveillance system in such a model as "individual-dormitory/home-class/unite-faculty and institute-university" largely contributed to the achievement of the goals of low incidence, no secondary, no epidemic, and no death.

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The burden of road traffic injuries in the People's Republic of China is increasing as evidenced by trends since 1951. Data from the National Statistical Office, Ministry of Communications and the Traffic Administration Bureau were analyzed. Absolute numbers of crashes, fatalities, and injuries, as well as fatalities per 100,000 population and motorization (number of vehicles per 1000 population) were used as indices to measure trends.

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