4.7 Article

Association between air pollutants with calcaneus ultrasound T-score change in a large Taiwanese population follow-up study

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 30, 期 28, 页码 72607-72616

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SPRINGER HEIDELBERG
DOI: 10.1007/s11356-023-27368-5

关键词

Air pollutants; T-score; Osteoporosis; Taiwan Biobank; Follow-up

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This longitudinal study found that high levels of PM2.5, PM10, O-3, and SO2 were associated with a rapid decline in T-score, while high levels of CO, NO, NO2, and NOx were associated with a slow decline in T-score. Additionally, there were synergistic negative effects on T-score decline when PM2.5 or PM10 were combined with SO2. These findings could be useful in informing air pollution regulation policies.
Exposure to ambient air pollution has been associated with increased rates of mortality and morbidity and a shorter life expectancy. Few studies have evaluated the associations between air pollution and change in calcaneus ultrasound T-score ( increment T-score). Therefore, in this longitudinal study, we explored these associations in a large group of Taiwanese participants. We used data from the Taiwan Biobank database and Taiwan Air Quality Monitoring Database, which contains detailed daily data on air pollution. We identified 27,033 participants in the Taiwan Biobank database who had both baseline and follow-up data. The median follow-up period was 4 years. The studied ambient air pollutants included particulates of 2.5 mu m or less (PM2.5), particulates of 10 mu m or less (PM10), ozone (O-3), carbon monoxide (CO), sulfur dioxide (SO2), nitric oxide (NO), nitrogen dioxide (NO2), and nitrogen oxide (NOx). Multivariable analysis showed that PM2.5 (beta, -0.003; 95% confidence interval (CI), -0.004 to -0.001; p < 0.001), PM10 (beta, -0.005; 95% CI, -0.006 to -0.004, p < 0.001), O-3 (beta, -0.008; 95% CI, -0.011 to -0.004; p < 0.001), and SO2 (beta, -0.036; 95% CI, -0.052 to -0.020; p < 0.001) were negatively associated with increment T-score, and that CO (beta, 0.344; 95% CI, 0.254, 0.433; p < 0.001), NO (beta, 0.011; 95% CI, 0.008 to 0.015; p < 0.001), NO2 (beta, 0.011; 95% CI, 0.008 to 0.014; p < 0.001), and NOx (beta, 0.007; 95% CI, 0.005 to 0.009; p < 0.001) were positively significantly associated with increment T-score. Furthermore, PM2.5 and SO2 (beta, -0.014; 95% CI, -0.016 to -0.013; p < 0.001) and PM10 and SO2 (beta, -0.008; 95% CI, -0.009 to -0.007; p < 0.001) had synergistic negative effects on increment T-score. In conclusion, we found that high PM2.5, PM10, O-3, and SO2 were associated with a rapid decline in T-score, whereas high CO, NO, NO2, and NOx were associated with a slow decline in T-score. Furthermore, PM2.5 and SO2 and PM10 and SO2 had synergistic negative effects on increment T-score, causing an acceleration in T-score decline. These findings may be helpful when developing policies on air pollution regulation.

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