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Non-optimal ambient temperatures are risk factors for myocardial infarction (MI) and urban-rural temperature differences in the context of climate change may have caused and will lead to differential association between temperature and MI. We collected daily mean temperature and daily MI deaths from 1 January 2016 to 31 December 2020 in Anhui Province, China. A distributed lag nonlinear model was performed to estimate the area-specific association of heat and cold (defined as the 2.5th and 97.5th percentile of the daily mean temperature) with MI mortality; the random-effects meta-analysis was then used to pool the effects of cold and heat. We found the risk of MI death due to cold was higher in rural areas [relative risk (RR): 1.13, 95% confidence interval (CI): 1.02-1.26, lag0) than in urban areas (RR: 0.99, 95% CI: 0.80-1.21, lag0), whereas the risk of MI death associated with heat was higher in urban areas (RR: 1.14, 95% CI: 1.03-1.27, lag0) than in rural areas (RR: 1.04, 95% CI: 0.99-1.10, lag0). Our findings may help to develop targeted protective strategies to reduce the adverse effects of cold and heat on cardiovascular disease., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To investigate the current status and temporal trend of probability of premature death, caused by four major non-communicable diseases (NCDs) in Anhui province, from 2014 to 2018, and to explore the possibility of achieving the goal of "Healthy China 2030". Methods: Data of death were collected from the "Information System for Death Cause Register and Management". The mortality, standardized mortality, premature mortality rate and annual percentage change (APC) were calculated. Based on the reduction target of "Healthy China 2030"(-30%) and "Healthy Anhui 2030"(-25%) for premature death probability of four major NCDs, the possibility of achieving the target was evaluated. Results: From 2014 to 2018, the proportion of four major NCDs deaths to total deaths increased from 82.76% to 84.77%, showing an upward trend(APC=0.50%). The standardized mortality rate of four major NCDs in the population aged 30-69 years was decreasing annually (APC=-1.78%). The premature death probability of four major NCDs decreased from 15.53% to 14.43% with a downward trend. The decline rate of men (APC=-1.80%) was slightly lower than that of women (APC = -2.00%). The decline rate of urban (APC=-1.57%) and rural (APC=-1.99%), Northern Anhui (APC=-2.32%) and Central Anhui (APC=-1.81%) areas were all showed a downward trend. The premature death probability in the same year was higher in men, rural areas and northern Anhui areas. The decrease of chronic respiratory diseases was the greatest (APC=-9.19%), followed by cancer (APC=-1.77%), but increased in diabetes for men (APC=-2.90%). According to the average growth rate of premature death probability from 2014 to 2018, it was predicted that the goal of healthy Anhui would be achieved by 2030. However, to achieve the goal of healthy China, the rate of decline needs to be increased by 26.40% on the existing basis. Comparing to the proportion, the descent speed needs to be increased between different genders, urban and rural areas and regions. Conclusions: The premature death probability of four major NCDs in Anhui province has a continuous downward trend. Men, rural residents and residents in northern Anhui province are the key population. We should carry out intervention against the main risk factors of NCDs, reduce the premature mortality rate of NCDs, and strive to achieve the goal of "Healthy China 2030".