{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["25(1)"],"submitter":["Zhang S"],"pubmed_abstract":["<h4>Background</h4>Rhinobyon and inflammation associated with pollinosis may elevate the risk of obstructive sleep apnea hypopnea syndrome (OSAHS). However, the exact nature of this association remains unclear, particularly in large-scale populations. This study aimed to examine the relationship between pollinosis and OSAHS using data from the National Health and Nutrition Examination Survey (NHANES).<h4>Methods</h4>Data from the NHANES spanning 2005 to 2018 were analyzed. Three multivariate generalized linear models (GLMs) were employed to explore the relationship between pollinosis and OSAHS: one unadjusted model, one minimally adjusted model, and one fully adjusted model. Stratified analyses were conducted to assess the impact of pollinosis and other covariates on OSAHS. Additionally, t"],"journal":["BMC pulmonary medicine"],"pagination":["113"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11905575"],"repository":["biostudies-literature"],"pubmed_title":["Association between pollinosis and obstructive sleep apnea hypopnea syndrome in the US population: evidence from the NHANES database 2005-2018."],"pmcid":["PMC11905575"],"pubmed_authors":["Li X","Huangfu H","Pan J","Ge T","Ji L","Gao Z","Liu R","Zhang S"],"additional_accession":[]},"is_claimable":false,"name":"Association between pollinosis and obstructive sleep apnea hypopnea syndrome in the US population: evidence from the NHANES database 2005-2018.","description":"<h4>Background</h4>Rhinobyon and inflammation associated with pollinosis may elevate the risk of obstructive sleep apnea hypopnea syndrome (OSAHS). However, the exact nature of this association remains unclear, particularly in large-scale populations. This study aimed to examine the relationship between pollinosis and OSAHS using data from the National Health and Nutrition Examination Survey (NHANES).<h4>Methods</h4>Data from the NHANES spanning 2005 to 2018 were analyzed. Three multivariate generalized linear models (GLMs) were employed to explore the relationship between pollinosis and OSAHS: one unadjusted model, one minimally adjusted model, and one fully adjusted model. Stratified analyses were conducted to assess the impact of pollinosis and other covariates on OSAHS. Additionally, t","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2026-06-06T16:48:49.033Z","creation":"2025-04-21T16:50:28.41Z"},"accession":"S-EPMC11905575","cross_references":{"pubmed":["40082843"],"doi":["10.1186/s12890-025-03581-5"]}}