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Short-term exposure to extreme temperature and outpatient visits for respiratory diseases among children in the northern city of China: a time-series study.
Wu, Ya; Liu, Xiaobo; Gao, Lijie; Sun, Xiaohong; Hong, Qianqi; Wang, Qian; Kang, Zhen; Yang, Chao; Zhu, Sui.
Afiliación
  • Wu Y; Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
  • Liu X; Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China.
  • Gao L; Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
  • Sun X; Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
  • Hong Q; Department of Physicochemical Laboratory, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
  • Wang Q; Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
  • Kang Z; Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
  • Yang C; Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
  • Zhu S; Harbin Center for Disease Control and Prevention, Harbin, 150056, China. yangchao0608@126.com.
BMC Public Health ; 24(1): 341, 2024 02 01.
Article en En | MEDLINE | ID: mdl-38302889
ABSTRACT

BACKGROUND:

Although studies have indicated that extreme temperature is strongly associated with respiratory diseases, there is a dearth of studies focused on children, especially in China. We aimed to explore the association between extreme temperature and children's outpatient visits for respiratory diseases and seasonal modification effects in Harbin, China.

METHODS:

A distributed lag nonlinear model (DLNM) was used to explore the effect of extreme temperature on daily outpatient visits for respiratory diseases among children, as well as lag effects and seasonal modification effects.

RESULTS:

Extremely low temperatures were defined as the 1st percentile and 2.5th percentile of temperature. Extremely high temperatures were defined as the 97.5th percentile and 99th percentile of temperature. At extremely high temperatures, both 26 °C (97.5th) and 27 °C (99th) showed adverse effects at lag 0-6 days, with relative risks (RRs) of 1.34 [95% confidence interval (CI) 1.21-1.48] and 1.38 (95% CI 1.24-1.53), respectively. However, at extremely low temperatures, both - 26 °C (1st) and - 23 °C (2.5th) showed protective effects on children's outpatient visits for respiratory diseases at lag 0-10 days, with RRs of 0.86 (95% CI 0.76-0.97) and 0.85 (95% CI 0.75-0.95), respectively. We also found seasonal modification effects, with the association being stronger in the warm season than in the cold season at extremely high temperatures.

CONCLUSIONS:

Our study indicated that extremely hot temperatures increase the risk of children's outpatient visits for respiratory diseases. Efforts to reduce the exposure of children to extremely high temperatures could potentially alleviate the burden of pediatric respiratory diseases, especially during the warm season.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trastornos Respiratorios / Enfermedades Respiratorias Límite: Child / Humans País/Región como asunto: Asia Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trastornos Respiratorios / Enfermedades Respiratorias Límite: Child / Humans País/Región como asunto: Asia Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2024 Tipo del documento: Article País de afiliación: China