ObjectiveTo analyze the epidemiological characteristics of senile dementia death in Jing’an District from 2016 to 2020， as well as the trends of mortality， standardized mortality， years of life lost （YLL） due to early death， years lived with disability （YLD）， and disability-adjusted life year （DALY）， and to provide scientific basis for the prevention and control of senile dementia. MethodsThe distribution of senile dementia in terms of gender， age， marital status and education level was investigated in the senile dementia death cases from 2016 to 2020 in Jing’an District. The YLL， YLD， DALY and their rates of the residents of Jing’an District from 2016 to 2020 were calculated by using Global Burden of Disease （GBD 2019） research method and results in combination with the corresponding population data. ResultsCompared to those without dementia， deaths with dementia were more likely to be female， more likely to be over 80 years old， less likely to be married， and more likely to have education level under middle school. Among the deaths with dementia， only 27.70% of the primary cause of death was dementia， and the other main causes were cerebrovascular disease， coronary heart disease and diabetes mellitus， which accounted for 25.54%， 17.81% and 7.28%， respectively. There was a significant gender difference in the burden of disease on senile dementia in Jing’an District. Mortality， standardized mortality， YLL， YLD and DALY rates of females were higher than those of males. The burden of disease on senile dementia increased with age. The change trend of mortality and YLL rate from 2016 to 2020 was not statistically significant， while the YLD rate and DALY rate showed an upward trend， which was statistically significant. ConclusionAs the life span of residents in Jing’an District increases and the population aging deepens， the burden of disease on senile dementia is still heavy. This requires extensive attention of the whole society， and active exploration of prevention and control strategies and measures for senile dementia， so as to improve the life quality of patients and reduce the burden of disease.

Background Diabetes mellitus is a major public health issue at present. Previous studies have shown that ambient air pollution is a risk factor for diabetes. Objective This study aims to explore the acute effects of ambient air pollution on diabetes related death in Shanghai Jing’an District. Methods Daily air pollution data, meteorological data, and diabetes related mortality data in 2013−2019 in Shanghai Jing’an District were collected. A generalized additive model (GAM) was established to conduct time-series analysis on the short-term effect of ambient air pollution on diabetes related mortality, and gender- and age-stratified analysis on susceptibility of various groups to ambient air pollution exposures. Results For every 10 μg·m⁻³ increase of the concentrations of PM_2.5, PM₁₀, SO₂, and NO₂, the diabetes related mortality increased by 2.47% (95%CI: 1.56%−3.38%), 2.02% (95%CI: 1.29%−2.75%), 5.75% (95%CI: 2.99%−8.58%), and 3.93% (95%CI: 2.49%−5.39%) at lag05 respectively (P<0.05). In the stratified analysis, exposures to increased concentrations of PM_2.5, PM₁₀, SO₂, and NO₂ raised the mortality risks from diabetes in male, female, and ≥65 years oldgroups (P<0.05). However, the differences in mortality risks from diabetes due to air pollution within gender and age groups were statistically insignificant. Conclusion In Shanghai Jing'an District, the elevated levels of ambient air pollutants, including PM_2.5, PM₁₀, SO₂, and NO₂, are significantly associated with the increase of diabetes related mortality, and there are lag effects and cumulative effects. The ≥65 years olds are more susceptible to the impact of air pollution on diabetes related deaths.