Association of ambient air pollution with cardiovascular disease risks in people with type 2 diabetes: a Bayesian spatial survival analysis

• Published in: Environmental health Vol. 19; no. 1; pp. 110 - 12
• Main Authors: Su, Pei-Fang, Sie, Fei-Ci, Yang, Chun-Ting, Mau, Yu-Lin, Kuo, Shihchen, Ou, Huang-Tz
• Format: Journal Article
• Language: English
• Published: England BioMed Central 05.11.2020; BMC
• Subjects: Aged; Aged, 80 and over; Air pollution; Air Pollution - analysis; Air pollution effects; Bayes Theorem; Bayesian analysis; Bayesian approach; Cardiovascular disease; Cardiovascular diseases; Cardiovascular Diseases - epidemiology; Confidence intervals; Diabetes; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - epidemiology; Environmental effects; Environmental Exposure - analysis; Environmental health; Environmental research; Female; Health insurance; Health risks; Humans; Kaplan-Meier Estimate; Male; Mathematical models; Middle Aged; Nitrogen dioxide; Particulate matter; Patients; Pharmacy; Pollutants; Pollution effects; Population; Risk analysis; Risk Factors; Spatial analysis; Spatial correlation; Spatial data; Sulfur dioxide; Survival; Survival analysis; Taiwan - epidemiology; Time-to-event; Type 2 diabetes; Taiwan; Time-to-event; Type 2 diabetes; Cardiovascular disease; Bayesian approach; Survival; Spatial correlation

Evidence is limited on excess risks of cardiovascular diseases (CVDs) associated with ambient air pollution in diabetic populations. Survival analyses without considering the spatial structure and possible spatial correlations in health and environmental data may affect the precision of estimation o...