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Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China

To investigate the correlation between environmental-meteorological factors and daily visits for acute otitis media (AOM) in Lanzhou, China. METHODS: Data were collected in 2014–2016 by the Departments of Otolaryngology-Head and Neck Surgery at two hospitals in Lanzhou. Relevant information, includi...

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Autores principales: Tian, Haiyue, Xu, Baicheng, Wang, Xinlan, Wang, Jinyan, Zhong, Cuiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chinese PLA General Hospital 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451727/
https://www.ncbi.nlm.nih.gov/pubmed/32884558
http://dx.doi.org/10.1016/j.joto.2020.01.002
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author Tian, Haiyue
Xu, Baicheng
Wang, Xinlan
Wang, Jinyan
Zhong, Cuiping
author_facet Tian, Haiyue
Xu, Baicheng
Wang, Xinlan
Wang, Jinyan
Zhong, Cuiping
author_sort Tian, Haiyue
collection PubMed
description To investigate the correlation between environmental-meteorological factors and daily visits for acute otitis media (AOM) in Lanzhou, China. METHODS: Data were collected in 2014–2016 by the Departments of Otolaryngology-Head and Neck Surgery at two hospitals in Lanzhou. Relevant information, including age, sex and visiting time, was collected. Environmental data included air quality index, PM10, PM2.5, O(3), CO, NO(2) and SO(2), and meteorological data included daily average temperature (T, °C), daily mean atmospheric pressure (AP, hPa), daily average relative humidity (RH, %) and daily mean wind speed (W, m/s). The SPSS22.0 software was used to generate Spearman correlation coefficients in descriptive statistical analysis, and the R3.5.0 software was used to calculate relative risk (RR) and to obtain exposure-response curves. The relationship between meteorological-environmental parameters and daily AOM visits was summarized. RESULTS: Correlations were identified between daily AOM visits and CO, O(3), SO(2), CO, NO(2), PM2.5 and PM10 levels. NO(2), SO(2), CO, AP, RH and T levels significantly correlated with daily AOM visits with a lag exposure-response pattern. The effects of CO, NO(2), SO(2) and AP on daily AOM visits were significantly stronger compared to other factors (P < 0.01). O(3), W, T and RH were negatively correlated with daily AOM visits. The highest RR lagged by 3–4 days. CONCLUSIONS: The number of daily AOM visits appeared to be correlated with short-term exposure to mixed air pollutants and meteorological factors from 2014 through 2016 in Lanzhou.
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spelling pubmed-74517272020-09-02 Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China Tian, Haiyue Xu, Baicheng Wang, Xinlan Wang, Jinyan Zhong, Cuiping J Otol Research Article To investigate the correlation between environmental-meteorological factors and daily visits for acute otitis media (AOM) in Lanzhou, China. METHODS: Data were collected in 2014–2016 by the Departments of Otolaryngology-Head and Neck Surgery at two hospitals in Lanzhou. Relevant information, including age, sex and visiting time, was collected. Environmental data included air quality index, PM10, PM2.5, O(3), CO, NO(2) and SO(2), and meteorological data included daily average temperature (T, °C), daily mean atmospheric pressure (AP, hPa), daily average relative humidity (RH, %) and daily mean wind speed (W, m/s). The SPSS22.0 software was used to generate Spearman correlation coefficients in descriptive statistical analysis, and the R3.5.0 software was used to calculate relative risk (RR) and to obtain exposure-response curves. The relationship between meteorological-environmental parameters and daily AOM visits was summarized. RESULTS: Correlations were identified between daily AOM visits and CO, O(3), SO(2), CO, NO(2), PM2.5 and PM10 levels. NO(2), SO(2), CO, AP, RH and T levels significantly correlated with daily AOM visits with a lag exposure-response pattern. The effects of CO, NO(2), SO(2) and AP on daily AOM visits were significantly stronger compared to other factors (P < 0.01). O(3), W, T and RH were negatively correlated with daily AOM visits. The highest RR lagged by 3–4 days. CONCLUSIONS: The number of daily AOM visits appeared to be correlated with short-term exposure to mixed air pollutants and meteorological factors from 2014 through 2016 in Lanzhou. Chinese PLA General Hospital 2020-09 2020-01-31 /pmc/articles/PMC7451727/ /pubmed/32884558 http://dx.doi.org/10.1016/j.joto.2020.01.002 Text en © 2020 PLA General Hospital Department of Otolaryngology Head and Neck Surgery. Production and hosting by Elsevier (Singapore) Pte Ltd. http://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 Research Article
Tian, Haiyue
Xu, Baicheng
Wang, Xinlan
Wang, Jinyan
Zhong, Cuiping
Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China
title Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China
title_full Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China
title_fullStr Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China
title_full_unstemmed Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China
title_short Study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, Lanzhou, China
title_sort study on the correlation between ambient environment-meteorological factors and the number of visits of acute otitis media, lanzhou, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451727/
https://www.ncbi.nlm.nih.gov/pubmed/32884558
http://dx.doi.org/10.1016/j.joto.2020.01.002
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