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Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring

Obstructive sleep apnea (OSA) can lead to sleep deprivation, accidents, and cardiovascular diseases. However, research on the short-term effects of air pollutants on OSA severity is limited and inconsistent. We conducted a novel case time series analysis using a nationwide dataset among Huawei smart...

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Detalles Bibliográficos
Autores principales: Zhang, Qingli, Wang, Hong, Zhu, Xinlei, Li, Anni, Liu, Cong, Guo, Yutao, Kan, Haidong, Chen, Renjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654035/
https://www.ncbi.nlm.nih.gov/pubmed/38028136
http://dx.doi.org/10.1016/j.xinn.2023.100528
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author Zhang, Qingli
Wang, Hong
Zhu, Xinlei
Li, Anni
Liu, Cong
Guo, Yutao
Kan, Haidong
Chen, Renjie
author_facet Zhang, Qingli
Wang, Hong
Zhu, Xinlei
Li, Anni
Liu, Cong
Guo, Yutao
Kan, Haidong
Chen, Renjie
author_sort Zhang, Qingli
collection PubMed
description Obstructive sleep apnea (OSA) can lead to sleep deprivation, accidents, and cardiovascular diseases. However, research on the short-term effects of air pollutants on OSA severity is limited and inconsistent. We conducted a novel case time series analysis using a nationwide dataset among Huawei smart device users to assess the association between air pollution and OSA severity in a population at moderate-to-severe risk of OSA. Fixed-effects regression models were used to assess the associations between air pollution and the risk of OSA exacerbation, apnea-hypopnea index (AHI), and oxygen saturation. A total of 51,842 participants who were at moderate-to-severe risk of OSA (mean age [SD]: 45.4 [11.0], 95.5% male) were included, with 6,232,056 person-days of monitoring. The associations of fine particulate matter, nitrogen dioxide, carbon monoxide, and sulfur dioxide with OSA severity could occur during the sleep period, and last for 2 days. An increase of 1 interquartile range in the moving average concentrations of air pollution during the sleep period and the 2 previous days was associated with a 1.14%–4.31% increase in the risk of OSA exacerbation, an increase in AHI by 0.05–0.17 events/h, and a decrease in oxygen saturation (%) by 0.003–0.014. The exposure-response curves were almost linear. The associations between air pollutants and OSA were consistently stronger in participants aged 45 years or older. By virtue of the smart device-based technology, this large-scale, nationwide, longitudinal study provides compelling evidence that short-term exposure to air pollution may worsen sleep apnea. Our findings highlight the significance of ongoing efforts to improve air quality in mitigating OSA severity and the relevant disease burden in an aging era.
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spelling pubmed-106540352023-10-20 Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring Zhang, Qingli Wang, Hong Zhu, Xinlei Li, Anni Liu, Cong Guo, Yutao Kan, Haidong Chen, Renjie Innovation (Camb) Article Obstructive sleep apnea (OSA) can lead to sleep deprivation, accidents, and cardiovascular diseases. However, research on the short-term effects of air pollutants on OSA severity is limited and inconsistent. We conducted a novel case time series analysis using a nationwide dataset among Huawei smart device users to assess the association between air pollution and OSA severity in a population at moderate-to-severe risk of OSA. Fixed-effects regression models were used to assess the associations between air pollution and the risk of OSA exacerbation, apnea-hypopnea index (AHI), and oxygen saturation. A total of 51,842 participants who were at moderate-to-severe risk of OSA (mean age [SD]: 45.4 [11.0], 95.5% male) were included, with 6,232,056 person-days of monitoring. The associations of fine particulate matter, nitrogen dioxide, carbon monoxide, and sulfur dioxide with OSA severity could occur during the sleep period, and last for 2 days. An increase of 1 interquartile range in the moving average concentrations of air pollution during the sleep period and the 2 previous days was associated with a 1.14%–4.31% increase in the risk of OSA exacerbation, an increase in AHI by 0.05–0.17 events/h, and a decrease in oxygen saturation (%) by 0.003–0.014. The exposure-response curves were almost linear. The associations between air pollutants and OSA were consistently stronger in participants aged 45 years or older. By virtue of the smart device-based technology, this large-scale, nationwide, longitudinal study provides compelling evidence that short-term exposure to air pollution may worsen sleep apnea. Our findings highlight the significance of ongoing efforts to improve air quality in mitigating OSA severity and the relevant disease burden in an aging era. Elsevier 2023-10-20 /pmc/articles/PMC10654035/ /pubmed/38028136 http://dx.doi.org/10.1016/j.xinn.2023.100528 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Zhang, Qingli
Wang, Hong
Zhu, Xinlei
Li, Anni
Liu, Cong
Guo, Yutao
Kan, Haidong
Chen, Renjie
Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring
title Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring
title_full Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring
title_fullStr Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring
title_full_unstemmed Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring
title_short Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring
title_sort air pollution may increase the sleep apnea severity: a nationwide analysis of smart device-based monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654035/
https://www.ncbi.nlm.nih.gov/pubmed/38028136
http://dx.doi.org/10.1016/j.xinn.2023.100528
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