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[The impact of ambient temperature exposure on emergency calls-a time series analysis based on data of Xuchang and Zhengzhou].
Ai, S S; Qin, L J; Cui, Y J; Zhang, S Y; Tian, F; Li, H; Yang, Y; Lin, H L.
Afiliación
  • Ai SS; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Qin LJ; Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Cui YJ; Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Zhang SY; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Tian F; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Li H; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Yang Y; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Lin HL; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(2): 194-199, 2021 Feb 06.
Article en Zh | MEDLINE | ID: mdl-34645179
ABSTRACT

Objective:

To investigate the effect of hourly ambient temperature exposure on emergency calls in Xuchang city and Zhengzhou city.

Methods:

The hourly meteorological data, air pollution data and emergency calls of Xuchang city and Zhengzhou city were collected from January 1, 2017 to October 31, 2019. A distributed lag non-linear model was used to calculate the excess relative risk (ERR). The lag effect and cumulative effect of extreme temperature exposure on emergency calls were evaluated.

Results:

The relationship between hourly temperature exposure and emergency calls was a U-shaped curve. In Xuchang city and Zhengzhou city, both low and high temperatures would increase the number of hourly emergency calls. The earliest effect of low temperature occurred at a lag of 22 h and 52 h, with ERR values (95%CI) about 0.20% (0.00%, 0.39%) and 0.11% (0.00%, 0.22%), respectively. The earliest effect of high temperature occurred at a lag of 0 h with ERR values about 1.59% (1.09%, 2.09%) and 1.45% (1.22%, 1.69%), respectively. High temperature had the greatest impact on the number of emergency calls of cardiovascular disease at a lag of 4-8 h. The cumulative ERR values (95%CI) of the two cities were 8.70% (4.98%, 12.75%) and 3.89% (2.61%, 5.22%), respectively.

Conclusion:

High temperature exposure could increase the number of emergency calls within a few hours, while the effect of low temperature would not occur until 22 hours later.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Etiology_studies Límite: Humans País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Yu Fang Yi Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Etiology_studies Límite: Humans País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Yu Fang Yi Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China