<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>4(6)</volume><submitter>Zhang Q</submitter><pubmed_abstract>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 fi</pubmed_abstract><journal>Innovation (Cambridge (Mass.))</journal><pagination>100528</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10654035</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring.</pubmed_title><pmcid>PMC10654035</pmcid><pubmed_authors>Guo Y</pubmed_authors><pubmed_authors>Zhu X</pubmed_authors><pubmed_authors>Li A</pubmed_authors><pubmed_authors>Wang H</pubmed_authors><pubmed_authors>Liu C</pubmed_authors><pubmed_authors>Chen R</pubmed_authors><pubmed_authors>Zhang Q</pubmed_authors><pubmed_authors>Kan H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Air pollution may increase the sleep apnea severity: A nationwide analysis of smart device-based monitoring.</name><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 fi</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Nov</publication><modification>2025-04-21T18:24:46.444Z</modification><creation>2025-04-05T17:12:31.635Z</creation></dates><accession>S-EPMC10654035</accession><cross_references><pubmed>38028136</pubmed><doi>10.1016/j.xinn.2023.100528</doi></cross_references></HashMap>