IMPORTANCEPrehospital delay (time from symptom onset of stroke to the door of a hospital) in patients with stroke is long in China. With the goal of improving public awareness and knowledge of stroke recognition, Stroke 1-2-0 was developed in China as an education program to prompt rapid response to the onset of stroke based on clinical practice in China, and examination of its outcomes is needed. OBJECTIVE To investigate the association of the Stroke 1-2-0 educational campaign with prehospital delay for patients with ischemic stroke. DESIGN, SETTING, AND PARTICIPANTSIn a population-based cross-sectional study, all patients with ischemic stroke events were admitted to the Minhang Hospital, which is the only tertiary care hospital with a stroke center that provides acute stroke care in Xinzhuang county, Shanghai, China.

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Background: We aimed to evaluate the burden of cardiovascular (CV) risk factors in the community populations of Guangdong Province and its association with sociodemographic status (SDS). Method: The data were from the community populations of Guangdong Province who have participated in the China PEACE Million Persons Project between 2016 and 2020 (n = 102,358, women 60.5% and mean age 54.3 years). The prevalence of CV risk factors (smoking, drinking, overweight/obesity, hypertension, dyslipidemia and diabetes mellitus) and its association with SDS (age, sex and socioeconomic status [SES]) was evaluated cross-sectionally. Results: The prevalence of overweight/obesity was 48.9%, hypertension 39.9%, dyslipidemia 18.6%, smoking 17.2%, diabetes mellitus 16.1% and drinking 5.3%. Even in young adults (aged 35–44), nearly 60% had at least 1 CV risk factor. Overweight/obesity often coexisted with other risk factors, including smoking, hypertension, dyslipidemia and diabetes mellitus. The proportion of people with no risk factor decreased with increasing age. Women were more likely than men to have no CV risk factor (29.4% vs. 12.7%). People with ≥ high school degree were more likely than those with < high school to have no risk factor (28.5% vs. 20.4%), and farmers were less likely than non-farmers to have no risk factor (20.8% vs. 23.1%). Conclusion: The burden of CV risk factors is high and varied by SDS in the community populations of Guangdong Province. Cost-effective and targeted interventions are needed to reduce the burden of CV risk factors at the population level.