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Background Large-scale epidemiological surveys focusing on characteristic differences in psychological and physical health conditions in Chinese adults are lacking. Objective To investigate the association of noncommunicable chronic diseases (NCDs) with depression, anxiety and stress in the Chinese general population. Methods A total of 13784 participants were recruited from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH) from 2017 to 2019. Sociodemographic characteristics, lifestyle and NCDs were assessed via questionnaire. Stress, anxiety and depression were assessed by the Depression-Anxiety-Stress Scale (DASS-21). The relationship of NCDs with psychological symptoms was determined through logistic regression analysis. Results Multivariate logistic regression analysis revealed that the prevalence of stress (OR = 1.640; 95% CI: 1.381-1.949), anxiety (OR = 1.654; 95% CI: 1.490-1.837) and depression (OR = 1.460; 95% CI: 1.286-1.658) symptoms were all significantly higher in patients with NCDs. Multimorbidities were associated with a higher risk of stress (OR = 2.310; 95% CI: 1.820-2.931), anxiety (OR = 2.119; 95% CI: 1.844-2.436) and depression (OR = 2.785; 95% CI: 1.499-2.126) than single NCDs. A course of disease within 1 year or more than 5 years also was associated with a higher risk. Limitations The cross-sectional design could not examine the causal link between psychological symptoms and NCDs. Conclusion Psychological symptoms were more prevalent among individuals with NCDs in the Chinese general population. This study suggests that more attention should be paid to the mental health problems of patients with NCDs. [ABSTRACT FROM AUTHOR]

• Long-term air pollutant exposures may contribute to cardiac conduction abnormalities. • PM 2.5 may be the most stable pollutant reflecting the associations. • People with specific characteristics are more susceptible to the adverse effects. Evidence regarding the effects of long-term and high-level ambient air pollution exposure on cardiac conduction systems remains sparse. To investigate the associations of long-term exposure to air pollution and cardiac conduction abnormalities in Chinese adults and explore the susceptibility characteristics. In 2017, a total of 27,047 participants aged 18–80 years were recruited from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH). The three year (2014–2016) average pollutant concentrations were assessed by a spatial statistical model for PM 2.5 and air monitoring stations for PM 10 , SO 2 , NO 2 , O 3 and CO. Residential proximity to a roadway was calculated by neighborhood analysis. Associations were estimated by two-level generalized linear mixed models. Stratified analyses related to demographic characteristics, health behaviors, and cardiometabolic risk factors were performed. Two-pollutant models were used to evaluate the possible role of single pollutants. We detected significant associations of long-term air pollutant exposure with increased heart rate (HR), QRS and QTc, such that an interquartile range increase in PM 2.5 was associated with 3.63% (95% CI: 3.07%, 4.19%), 1.21% (95% CI: 0.83%, 1.60%), and 0.13% (95% CI: 0.07%, 0.18%) changes in HR, QRS and QTc, respectively. Compared to the other pollutants, the estimates of PM 2.5 remained the most stable across all two-pollutant models. Similarly, significant associations were observed between living closer to a major roadway and higher HR, QRS and QTc. Stratified analyses showed generally greater association estimates in older people, males, smokers, alcohol drinkers, and those with obesity, hypertension and diabetes. Long-term exposure to ambient air pollution was associated with cardiac conduction abnormalities in Chinese adults, especially in older people, males, smokers, alcohol drinkers, and those with cardiometabolic risk factors. PM 2.5 may be the most stable pollutant to reflect the associations. [ABSTRACT FROM AUTHOR]