Associations between short-term exposure to air pollution and acute exacerbation of chronic bronchitis: A time-stratified case-crossover study.

Objective: This study aimed to explore the associations between short-term air pollution exposure and acute exacerbation of chronic bronchitis (AECB).

Methods: AECB data were collected from hospital surveillance systems in Shanghai, China, during 2018-2022. Exposure pollution data were obtained from China high resolution high quality near-surface air pollution datasets and assigned to individuals based on their residential addresses.

Residential greenness alleviated the adverse associations of long-term exposure to ambient PM with cardiac conduction abnormalities in rural adults.

Background: Ambient air pollution was linked to elevated risks of adverse cardiovascular events, and alterations in electrophysiological properties of the heart might be potential pathways. However, there is still lacking research exploring the associations between PM exposure and cardiac conduction parameters. Additionally, the interactive effects of PM and residential greenness on cardiac conduction parameters in resource-limited areas remain unknown.

Residential greenness and cardiac conduction abnormalities: epidemiological evidence and an explainable machine learning modeling study.

Background: Previous studies indicated the beneficial influence of residential greenness on cardiovascular disease (CVD), however, the association of residential greenness with cardiac conduction performance remains unclear. This study aims to examine the epidemiological associations between residential greenness and cardiac conduction abnormalities in rural residents, simultaneously exploring the role of residential greenness for cardiac health in an explainable machine learning modeling study.

Methods: A total of 27,294 participants were derived from the Henan Rural Cohort.

Stroke prevention in rural residents: development of a simplified risk assessment tool with artificial intelligence.

Background: Limited studies have focused on the risk assessment of stroke in rural regions. Moreover, the application of artificial intelligence in stroke risk scoring system is still insufficient. This study aims to develop a simplified and visualized risk score with good performance and convenience for rural stroke risk assessment, which is combined with a machine learning (ML) algorithm.

Physical activity attenuates the association between household air pollution and health-related quality of life in Chinese rural population: the Henan Rural Cohort Study.

Background And Purpose: Limited research focused on the association between household air pollution (HAP) and health-related quality of life (HRQoL). This study aimed to investigate the association of HAP with HRQoL and the effect modification of physical activity.

Method: A total of 16,761 eligible participants were derived from the Henan Rural Cohort Study.