Objective:To explore the incidence characteristics of hemorrhagic stroke among residents in Tianjin from 1999 to 2018, to provide data for formulating accurate prevention and control strategies.Methods:The incidence rate of hemorrhagic stroke and its distribution in different ages, gender, urban and rural areas were analyzed by monitoring new hemorrhagic stroke cases in Tianjin from 1999 to 2018. The standardized incidence rate was calculated based on the six th national population census in 2010. χ 2 test was used to compare the incidence rate. The trend of age and trend of age were analyzed by trend χ 2 test. Joinpoint software was used to analyze the change in the annual incidence rate. Results:During the study period, hemorrhagic stroke accounted for 13.08% of all stroke cases. The incidence rate of a hemorrhagic stroke in Tianjin residents was 75.38/100 000-46.70/100 000, showing a downward trend ( Z=-28.63, P<0.01, APC=-1.45%). After adjustment of age and gender, the standardized rate was 57.93/100 000-27.55/100 000, still showing a downward trend ( Z=-54.72, P<0.01, APC=-3.38%). The incidence rate of male and female hemorrhagic stroke decreased, and the incidence rate of males in all ages and age groups was higher than that in females ( P<0.01). The age of onset is younger, and the standardized incidence rate of an urban hemorrhagic stroke in the city decreases ( P<0.01), and the city descends faster. Conclusions:The characteristics of hemorrhagic stroke in Tianjin are similar to those in developed countries. The lower age group and rural population are the key groups of intervention. The study of incidence characteristics and trends is of great significance for accurate prevention and control of stroke, reducing disease and medical costs.

Evidence-based medicine (EBM) is a kind of clinic practice where clinicians use the best and the latest available evidence to diagnose and treat patients, and both evidence providers and users need to identify and control different kinds of biases in medical research.Directed acyclic graphsis is a tool to explore the causal relationship.The possible biases in the study can be revealed in a simple graphical language.The use of directed acyclic graphs could avoid the occurrence of bias and improve the quality of medical research and better guide clinical practice.

Objective:To evaluate the effect of tobacco control in different public places after 10 year implementation of Tobacco Control Regulations in Tianjin, investigate the tobacco exposure and tobacco hazard awareness of local population, and provide evidence for the implementation of tobacco control policies and measures.Methods:Data were collected in the tobacco control surveys in Tianjin in 2012 and 2021. On-site observation was used to evaluate the implementation of tobacco control measures in different public places in Tianjin, and face-to-face interview was used to collect the information about passive smoking exposure and tobacco-related knowledge awareness of local residents aged ≥15 years in Tianjin.Results:From 2012 to 2021, the posting rate of smoking free signs in medical institutions was high (100.0%), the posting rate in schools, government offices increased to 100.0%, but posting rate in taxis decreased obviously. The placing rate of tobacco control materials in medical institutions, public transportation waiting places and internet cafes decreased, while the placing rate in other places increased. Except for taxis, the places where people were found to be smoking decreased. The passive smoking exposure in public places and workplaces decreased from 43.2% to 26.6%. The public awareness that smoking can cause stroke increased by 11.3%, but the public awareness rate of smoking causing heart disease decreased and lung cancer by 7.7% and 7.2% respectively. The awareness rate of passive smoking causing heart disease in adults, lung disease in children and lung cancer in adults decreased by 21.8%, 22.1% and 9.1%, respectively.Conclusion:Since the implementation of the Tobacco Control Regulation in Tianjin, the passive smoking exposures have been reduced, but the environment layout of smoking free places, especially the health education about tobacco hazards, needs to be further improved. It is suggested to strengthen the promotion and supervision of tobacco control to create a smoke free environment.

Objective:Analyze the impact of smoking on the mortality and life expectancy of residents in Tianjin in 2019.Methods:Use mortality case-control study method to collect all cause of death cases of residents in Tianjin in 2019 for analysis. After adjusting for the 5-years-old age group, education level, and marital status, the smoking attributed deaths from different diseases of different genders, smoking attributed deaths in different age groups, and their impact on life expectancy were analyzed.Results:The total number of deaths in 2019 was 75 254, with 42 201 males (56.1%). Among male deaths, 3 215 (9.9%) were attributed to smoking, of which 2 157 (50.2%) lung cancer deaths were attributed to smoking; The risk of lung cancer death among smokers was 3.075 times higher than that of non-smokers (95% CI: 2.812-3.364); Among the 33 053 female deaths (43.9%), 1 396 (5.8%) were caused by smoking, with 744 (29.1%) lung cancer deaths attributed to smoking. The age group with the highest number of deaths attributed to smoking for women was the 75-<80 years old age group, followed by the 70-<75 and 80-<85 years old age groups. The age group with the highest proportion of deaths attributed to smoking for men was the 55-<60 years old age group. In addition, smoking accounts for more than 60% of deaths in the 60-<65, 45-<50, 55-<60, and 65-<70 years old age groups. In 2019, the loss of life expectancy attributed to smoking deaths among all residents in Tianjin was 1.13 years, with a loss of 1.15 years for males and 0.57 years for females. The expected life expectancy excluding deaths caused by smoking was 82.92 years, 80.77 years for males and 84.61 years for females. Conclusions:Smoking remains one of the important risk factors for death among residents. Promoting effective measures to reduce smoking rates is an effective way to increase life expectancy.