OBJECTIVE: To determine the incidence of traffic law violations among middle school students of Hunan province and to identify the influencing factors. METHODS: Stratified sampling and cluster sampling were used to randomly select students from 96 classes of 16 middle schools. Road traffic law violations were measured through recalling the occurrence of 5 common violations in the prior year. Most of influencing factors were collected by self-designed questionnaire except for family support function and parenting that were measured by the family assessment device (FAD) and the parenting locus of control scale (PLOC), respectively. Kruskal Wallis H test and multinomial logistic regression were used to analyze the data. RESULTS: The overall incidence rate of five common traffic law violations among middle school students in Hunan province fell between 16.6%-43.3%. Except for running against traffic light or not using pedestrian crossings (8.2%), students with the other 4 traffic law violations merely accounted for less 4%. The rates of students with 1, 2, 3, 4 and 5 kinds of traffic law violations were 25.3%, 17.8%, 10.2%, 6.2% and 3.4%, respectively. Logistic regression showed that there were 3 factors (area, junior or senior high school, and single child or not), 5 factors (area, junior or senior high school, sex, single child or not, and class leader or not) and 6 factors (type of school, junior or senior high school, sex, class leader or not, family support function, and type of family education) significantly associating with the occurrence of 1, 2, and 3 or more traffic law violations, respectively. CONCLUSION Only a small proportion of students often or almost always break traffic law or break several traffic laws at the same time. Students with serious traffic law violations should be targeted by school safety education and intervention.
Accidents, Traffic ; prevention & control ; Adolescent ; Automobile Driving ; legislation & jurisprudence ; Dangerous Behavior ; Female ; Humans ; Law Enforcement ; Logistic Models ; Male ; Risk Factors ; Safety ; legislation & jurisprudence ; Sampling Studies ; Students ; psychology ; Surveys and Questionnaires

Objective To predict the burden caused by fatal road traffic injuries from 2015 to 2030. Methods We searched the websites of United Nations Population Division,United States Department of Agriculture,World Health Organization,China Energy Research Foundation and other agencies to obtain the predictive values of gross domestic product(GDP)per capita,urbanization, motorization and education from 2015 to 2030 in China. Predicted values were then applied to log-linear models to estimate the numbers and years of life lost due to road traffic injuries from 2015 to 2030. Results The mortality rate caused by road traffic injury decreased slightly,from 13.7/100 000 in 2015 to 11.8/100 000 in 2030. 191,189,183,169 thousand persons were estimated to die from road traffic crashes in 2015,2020,2025 and 2030,respectively,showing a declining trend. Years of Life Lost(YLLs)caused by road traffic deaths were predicted to be 6 918,6 634,6 189,5 513 thousand years in 2015,2020,2025 and 2030,respectively,also showing a gradual downward trend. But the YLLs displayed an increase among people at 55 years of age or older,between 2015 and 2030. Results from the sensitivity analysis showed a stable forecasting result. Conclusion Mortality, number of deaths and YLLs from road traffic crashes were predicted to decrease slightly,between 2015 and 2030 but the number of deaths and YLLs due to road traffic injuries will continue to increase from 2015 to 2030.

OBJECTIVE: To determine the prevalence and incidence of illness of two-week duration, and the factors influencing these, among residents 15 years and older in four counties of Hunan Province. METHODS: Data were sampled from four counties of Hunan Province for the Fourth National Health Service Survey. Incidence and two-week prevalence of disease were used to assess the health service needs of residents. A non-conditional, stepwise logistic regression was employed to explore the influencing factors. RESULTS: The two-week prevalence and incidence were 11.5% and 3.9%, respectively, in four counties of Hunan. The three leading diseases of two-week prevalence were: respiratory diseases, digestive diseases, and musculoskeletal diseases. Non-conditional stepwise logistic regression showed that urban residents had 0.64 times the risk of two-week illness compared with the rural residents (P< 0.05); residents in the 45-59 year age group and the 60+ year age group had 1.69 and 2.62 times the risk of two-week illness compared with residents in the 15-44 year age group, respectively (P<0.05). The widowed had 1.91 times the risk of prevalence of two-week illness contrasted to singles (P<0.05); the students had 0.29 times the risk of two-week illness contrasted to the workers (P<0.05); urban residents had 0.63 times the risk of two-week illness compared with the rural (P<0.05); the widowed had 2.37 times the risk of incidence of two-week illness compared with singles (P<0.05). CONCLUSION The majority of health service needs of residents of four counties is generated by three diseases: respiratory diseases, digestive diseases, and musculoskeletal diseases. Relatively, rural residents, the elderly, employed persons and the widowed have higher health service needs than others and deserve specific attention.
Adolescent ; Adult ; Aged ; China ; epidemiology ; Community Health Services ; statistics & numerical data ; Digestive System Diseases ; epidemiology ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Musculoskeletal Diseases ; epidemiology ; Respiratory Tract Diseases ; epidemiology ; Sampling Studies ; Surveys and Questionnaires ; Young Adult

Objective To assess and compare the incidence,clinical characteristics,treatment,and prognosis of acute heart failure patients from different grades hospitals in Beijing.Methods In this prospective internet prognosis registered study (Beijing AHF Registry),a total of 3 335 consecutive patients admitted to 14 emergency departments in Beijing from January 1st 2011 to September 23rd 2012 were enrolled.According to hospital grade,these patients were divided into two groups,349 patients were from secondary hospitals,and 2 956 patients were from tertiary hospitals.Results Among the 3 335 patients,the medium age was 71 (58,79) years,and male accounted for 53.16％.The most common underlying disease were coronary disease (43.27％),hypertension (17.73％),cardiomyopathy (16.07％) etc.The average treatment time in Emergency Department was 66.82 h.The emergency department mortality rate was 3.81％ (127 cases).The 30-day and 1-year cumulative all-cause mortality were 15.3％ and 32.27％,respectively.The 30-day and 1-year cumulative all-cause readmission were 15.64％ and 46.89％,respectively.Compared with patients in tertiary hospitals,patients in secondary hospitals had more onset acute heart failure patients (63.64％ vs.49.93％),shorter emergency department treatment time (12 h vs.41 h),lower discharge rate (3.43％ vs.37.45％) and emergency department mortality(1.58％ vs.4.09％).Compared with those in tertiary hospitals,1-year cumulative all-cause mortality (25.6％ vs.33.2％),cardiovascular disease mortality (20.2％ vs.26.0％),aggravated heart failure mortality (22.4％ vs.28.8％) were lower in secondary hospitals.Following propensity score matching,compared to tertiary hospitals,patients in secondary hospitals showed lower utilization rate of beta-blockers and ACEFARB (4.51％ vs.28.17％,1.41％ vs.9.58％),except the pironolactone.Conclusion Acute heart failure in emergency department is associated with a high mortality rate and readmission rate.There is still a big gap between guidelines recommend medication current treatments for acute heart failure.

OBJECTIVETo predict the burden caused by fatal road traffic injuries from 2015 to 2030.

METHODSWe searched the websites of United Nations Population Division,United States Department of Agriculture, World Health Organization, China Energy Research Foundation and other agencies to obtain the predictive values of gross domestic product (GDP) per capita, urbanization, motorization and education from 2015 to 2030 in China. Predicted values were then applied to log-linear models to estimate the numbers and years of life lost due to road traffic injuries from 2015 to 2030.

RESULTSThe mortality rate caused by road traffic injury decreased slightly, from 13.7/100 000 in 2015 to 11.8/100 000 in 2030. 191, 189, 183, 169 thousand persons were estimated to die from road traffic crashes in 2015, 2020, 2025 and 2030, respectively, showing a declining trend. Years of Life Lost (YLLs) caused by road traffic deaths were predicted to be 6 918, 6 634, 6 189, 5 513 thousand years in 2015, 2020, 2025 and 2030, respectively, also showing a gradual downward trend. But the YLLs displayed an increase among people at 55 years of age or older, between 2015 and 2030. Results from the sensitivity analysis showed a stable forecasting result.

CONCLUSIONMortality, number of deaths and YLLs from road traffic crashes were predicted to decrease slightly, between 2015 and 2030 but the number of deaths and YLLs due to road traffic injuries will continue to increase from 2015 to 2030.

Accidents, Traffic ; mortality ; Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; China ; epidemiology ; Cost of Illness ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Young Adult

OBJECTIVETo develop the forecasting models for fatal road traffic injuries and to provide evidence for predicting the future trends on road traffic injuries.

METHODSData on the mortality of road traffic injury including factors as gender and age in different countries, were obtained from the World Health Organization Mortality Database. Other information on GDP per capita, urbanization, motorization and education were collected from online resources of World Bank, WHO, the United Nations Population Division and other agencies. We fitted logarithmic models of road traffic injury mortality by gender and age group, including predictors of GDP per capita, urbanization, motorization and education. Sex- and age-specific forecasting models developed by WHO that including GDP per capita, education and time etc. were also fitted. Coefficient of determination(R(2)) was used to compare the performance between our modes and WHO models.

RESULTS2 626 sets of data were collected from 153 countries/regions for both genders, between 1965 and 2010. The forecasting models of road traffic injury mortality based on GDP per capita, motorization, urbanization and education appeared to be statistically significant(P < 0.001), and the coefficients of determination for males at the age groups of 0-4, 5-14, 15-24, 25-34, 35-44, 45-54, 55-64, 65+ were 22.7% , 31.1%, 51.8%, 52.3%, 44.9%, 41.8%, 40.1%, 25.5%, respectively while the coefficients for these age groups in women were 22.9%, 32.6%, 51.1%, 49.3%, 41.3%, 35.9%, 30.7%, 20.1%, respectively. The WHO models that were based on the GDP per capita, education and time variables were statistically significant (P < 0.001)and the coefficients of determination were 14.9% , 22.0%, 31.5%, 33.1% , 30.7%, 28.5%, 27.7% and 17.8% for males, but 14.1%, 20.6%, 30.4%, 31.8%, 26.7%, 24.3%, 17.3% and 8.8% for females, respectively.

CONCLUSIONThe forecasting models that we developed seemed to be better than those developed by WHO.

Accidents, Traffic ; mortality ; prevention & control ; trends ; Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Forecasting ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Models, Statistical