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. 2020 Sep;15(3):86-94.
doi: 10.1016/j.joto.2020.01.002. Epub 2020 Jan 31.

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

Haiyue Tian  1 , Baicheng Xu  2 , Xinlan Wang  1 , Jinyan Wang  3 , Cuiping Zhong  1
Affiliations

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

Haiyue Tian et al. J Otol. 2020 Sep.

Erratum in

Abstract

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, O3, CO, NO2 and SO2, 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, O3, SO2, CO, NO2, PM2.5 and PM10 levels. NO2, SO2, CO, AP, RH and T levels significantly correlated with daily AOM visits with a lag exposure-response pattern. The effects of CO, NO2, SO2 and AP on daily AOM visits were significantly stronger compared to other factors (P < 0.01). O3, 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.

Keywords: Acute otitis media; Air pollution and meteolofical factors; Exposure-response curve; Non-parametric generalized additive model; Relative risk.

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Figures

Fig. 1
Fig. 1
Age distribution of AOM in Lanzhou from 2014 through 2016.
Fig. 2
Fig. 2
Age distribution of AOM under 10 years old in Lanzhou from 2014 through 2016.
Fig. 3
Fig. 3
Monthly AOM visits during 2014–2016 period in Lanzhou.
Fig. 4
Fig. 4
Monthly average AQI of Lanzhou during 2014 through 2016.
Fig. 5
Fig. 5
Exposure-response curves of single lag effects.
Fig. 6
Fig. 6
Exposure-response curves of cumulative lag effects.
See this image and copyright information in PMC

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