التفاصيل البيبلوغرافية
| العنوان: |
Study on the correlation between hyperventilation syndrome and climate and air quality. |
| المؤلفون: |
You, Dao-Feng, Qiao, Qiu-Ge, Lu, Jin-Shuai, Wei, Mei, Tan, Wen-Yun, Wang, Cui-Hua, Liu, Yan-Gong, Zheng, Ming-Qi, Liu, Gang |
| المصدر: |
Health Policy & Technology; Sep2022, Vol. 11 Issue 3, pN.PAG-N.PAG, 1p |
| مستخلص: |
• Bivariate correlation analysis method to analyse the correlation between HVS and climate factors. • The incidence of HVS changes with seasonal cycles. • The incidence of HVS and other symptoms are closely related to the temperature. To further explore the relationship between the number of patients with hyperventilation syndrome (HVS) and meteorological factors such as temperature, weather, humidity, wind speed and air quality. A total of 1,868 patients diagnosed with HVS from 1 January 2014 to 30 September 2020 were analysed by bivariate correlation analysis. Using the daily visits of patients with HVS as the dependant variable and meteorological factors and air quality as the independent variables, the multiple linear regression model was fitted to study the effect of climatic factors and air quality on the number of patients with HVS. There were more female patients with HVS than males. The average monthly visits of patients with HVS showed a periodic change in the monthly average temperature. The monthly visits of patients with HVS in Shijiazhuang were higher from May to September. The monthly visits of patients with HVS in Urumqi were higher in May and June. The goodness of fit of the multivariate linear regression equation was 0.292, belonging to the medium effect. Adjusted R2 of the multivariate linear regression equation was 0.084. This meant that these statistically significant independent variables could explain 8.4% of the variance in the dependant variable. The overall test of the entire regression equation was statistically significant (F = 65.430, P = 0.000). The average temperature, humidity, air pressure and ozone (O 3) levels were positively correlated with the number of visits of patients with HVS; humidity and pressure had the greatest impact. Meteorological factors and air quality are associated with the number of visits of patients with HVS. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
