| Abstract: | Background: Epidemiological evidence regarding the association between air pollution and resting heart rate (RHR), a predictor of cardiovascular disease and mortality, is limited and inconsistent. Objectives: We used wearable devices and time-series analysis to assess the exposure-response relationship over an extended lag period. Methods: Ninety-seven elderly individuals (>65 years) from the Taipei Basin participated from May to November 2020 and wore Garmin (R) smartwatches continuously until the end of 2021 for heart rate monitoring. RHR was defined as the daily average of the lowest 30-min heart rate. Air pollution exposure data, covering lag periods from 0 to 60 days, were obtained from nearby monitoring stations. We used distributed lag non-linear models and linear mixed-effect models to assess cumulative effects of air pollution. Principal component analysis was utilized to explore underlying patterns in air pollution exposure, and subgroup analyses with interaction terms were conducted to explore the modification effects of individual factors. Results: After adjusting for co-pollutants in the models, an interquartile range increase of 0.18 ppm in carbon monoxide (CO) was consistently associated with increased RHR across lag periods of 0-1 day (0.31, 95 % confidence interval [CI]: 0.24-0.38), 0-7 days (0.68, 95 % CI: 0.57-0.79), and 0-50 days (1.02, 95 % CI: 0.82-1.21). Principal component analysis identified two factors, one primarily influenced by CO and nitrogen dioxide (NO2), indicative of traffic sources. Increases in the varimax-rotated traffic-related score were correlated with higher RHR over 0-1 day (0.36, 95 % CI: 0.25-0.47), 0-7 days (0.62, 95 % CI: 0.46-0.77), and 0-50 days (1.27, 95 % CI: 0.87-1.67) lag periods. Over a 0-7 day lag, RHR responses to traffic pollution were intensified by higher temperatures (beta = 0.80 vs. 0.29; interaction p-value [P_int] = 0.011). Males (beta = 0.66 vs. 0.60; P_int < 0.0001), hypertensive individuals (beta = 0.85 vs. 0.45; P_int = 0.028), diabetics (beta = 0.96 vs. 0.52; P_int = 0.042), and those with lower physical activity (beta = 0.70 vs. 0.54; P_int < 0.0001) also exhibited stronger responses. Over a 0-50 day lag, males (beta = 0.99 vs. 0.96; P_int < 0.0001), diabetics (beta = 1.66 vs. 0.69; P_int < 0.0001), individuals with lower physical activity (beta = 1.49 vs. 0.47; P_int = 0.0006), and those with fewer steps on lag day 1 (beta = 1.17 vs. 0.71; P_int = 0.029) showed amplified responses. Conclusions: Prolonged exposure to traffic-related air pollution results in cumulative cardiovascular risks, persisting for up to 50 days. These effects are more pronounced on warmer days and in individuals with chronic conditions or inactive lifestyles. |
