ArticlePloS one2023
Geo-climatic risk factors for chronic rhinosinusitis in southwest Iran.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Inflammatory Shift in Chronic Rhinosinusitis Amidst Guangzhou's Urbanization (2000-2018).World journal of otorhinolaryngology - head and neck surgery · 2026Article
- Effects of meteorological factors on outpatient visits for chronic rhinosinusitis in Wuhan, China (2018-2019): a time-series analysis.Frontiers in public health · 2025Article
- Geographical and climatic risk factors for COVID-19 in southwest Iran during the 2020-2021 epidemic.PloS one · 2025Article
- Search for medical information for chronic rhinosinusitis through an artificial intelligence ChatBot.Laryngoscope investigative otolaryngology · 2024Article
- Serum metabolic biomarkers associated with self-reported chronic rhinosinusitis: a population-based cross-sectional study from the KNHANES.Brazilian journal of otorhinolaryngologyArticle
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Authors and funding
5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Chronic rhinosinusitis (CRS) is a prevalent and disabling paranasal sinus disease associated with some environmental factors. In this study, we evaluated the effect of geo-climatic factors on CRS in a region of southwest Iran. The study mapped the residency addresses of 232 patients with CRS who lived in Kohgiluyeh and Boyer-Ahmad province and had undergone sinus surgery from 2014 to 2019. The effects of Mean Annual Humidity (MAH), Mean Annual Rainfall (MAR), Mean Annual Temperature (MAT), maximum MAT (maxMAT), minimum MAT (minMAT), Mean Annual Evaporation (MAE), wind, elevation, slope, and land cover were assessed on the occurrence of CRS using Geographical Information System (GIS). Statistical analysis was performed using univariate and multivariate binary logistic regression. Patients came from 55 points including villages, towns, and cities. In univariate analysis, climatic factors including MAT (OR = 0.537), minMAT (OR = 0.764), maxMAT (OR = 0.63), MAR (OR = 0.994), and MAH (OR = 0.626) were significantly related to CRS occurrence. Elevation (OR = 0.999), slope (OR = 0.9), and urban setting (OR = 24.667) were the significant determinants among geographical factors when analyzed independently. The multivariate analysis found maxMAT (OR = 0.5), MAR (OR = 0.994), elevation (OR = 0.998), and urban (OR = 16.8) as significant factors affecting CRS occurrence. The urban setting is the most critical factor affecting CRS disease. Cold and dry areas and low attitude are the other risk factors for CRS in Kohgiluyeh and Boyer-Ahmad province, southwest Iran.
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