收藏切换
Correlation between environmental factors and pediatric respiratory disease visits in a central hospital of Shanghai
收藏切换
Shuangshuang ZHOU1, Yizhou CAI2, Xueqin MIAO3, Lili ZHANG3, Yibin ZHOU4, Dandan HE2, Jie LIU*, 5, Yanqi HU*, 3, 6
Chinese Journal of School Health | 2025, 46(5) : 708 - 711
Less
收藏切换
Chinese Journal of School Health | 2025, 46(5): 708-711
• Disease Control •
Correlation between environmental factors and pediatric respiratory disease visits in a central hospital of Shanghai
Full
Shuangshuang ZHOU1, Yizhou CAI2, Xueqin MIAO3, Lili ZHANG3, Yibin ZHOU4, Dandan HE2, Jie LIU*, 5, Yanqi HU*, 3, 6
Affiliations
  • 1Dean's Office of Minhang Hospital, Fudan University, Shanghai (201199), China
Published: 2025-05-25 doi: 10.16835/j.cnki.1000-9817.2025135
Outline
收藏切换
Objective

To explore the correlation and lag effects of environmental factors on pediatric respiratory disease visits at hospital, so as to provide scientific basis for disease prediction and optimizing clinical diagnosis and treatment.

Methods

Data from 503 889 pediatric respiratory disease outpatient and emergency visits a central hospital in Minhang District of Shanghai between 2017 and 2019, along with concurrent meteorological data were collected. A distributed lag non-linear models (DLNM) was constructed to explore the specific relationship between pediatric respiratory disease consultations and various environmental factors and to quantify the cumulative lag effects of environmental factors on respiratory disease consultations.

Results

Among the environmental factors, temperature, fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) were associated with pediatric respiratory disease visits. After adjusting for temperature, PM2.5 and PM10 concentrations did not show significant immediate or lag effects. The relative risk (RR) of pediatric respiratory disease visits increased with rising NO2 concentrations. When NO2 concentration ≥55 μg/m3, significant immediate and lagged effects (lag 3, 5, and 7 days) were observed. The RR values were 1.05, 1.13, 1.17, and 1.21(P < 0.05). The RR values showed an inverted "U"-shaped relationship with SO2 concentrations. When SO2 concentration ≥5 μg/m3, significant lagged effects (lag 3, 5, and 7 days) were observed. The RR values were 1.03, 1.03, and 1.04 (P < 0.05).

Conclusion

High concentrations of NO2 and SO2 increase the risk of pediatric respiratory disease visits, with observable lag effects.

Respiratory tract diseases  /  Ambulatory care  /  Environment  /  Models, statistical  /  Child
周霜霜, 蔡逸舟, 苗雪琴, 张利利, 周毅彬, 何丹丹, 刘洁, 胡燕琪. 上海市某中心医院儿科呼吸道疾病就诊与环境因素的相关性. 中国学校卫生, 2025 , 46 (5) : 708 -711 . DOI: 10.16835/j.cnki.1000-9817.2025135
Shuangshuang ZHOU, Yizhou CAI, Xueqin MIAO, Lili ZHANG, Yibin ZHOU, Dandan HE, Jie LIU, Yanqi HU. Correlation between environmental factors and pediatric respiratory disease visits in a central hospital of Shanghai[J]. Chinese Journal of School Health, 2025 , 46 (5) : 708 -711 . DOI: 10.16835/j.cnki.1000-9817.2025135
Year 2025 volume 46 Issue 5
7
4
Cite this Article
BibTeX
Article Info
doi: 10.16835/j.cnki.1000-9817.2025135
  • Receive Date:2025-01-07
  • Online Date:2026-11-06
  • Published:2025-05-25
Article Data
Affiliations
History
  • Received:2025-01-07
  • Revised:2025-03-17
Affiliations
    1Dean's Office of Minhang Hospital, Fudan University, Shanghai (201199), China
References
Share
https://castjournals.cast.org.cn/joweb/zgxxws/EN/10.16835/j.cnki.1000-9817.2025135
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT