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The effects of meteorological factors and air pollutants on respiratory diseases and their interaction
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Gen-shan LI1, Shu-zhen HE2, 1, Chun-guang MA2, Jing WU2, Yu-hua MA3, Zhong-hua HU4, Zhen-xu NING1, Jian-xiu ZHANG1, Xiao-juan HUA1
Modern Preventive Medicine | 2025, 52(23) : 4283 - 4290
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Modern Preventive Medicine | 2025, 52(23): 4283-4290
• Environmental and Occupational Health •
The effects of meteorological factors and air pollutants on respiratory diseases and their interaction
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Gen-shan LI1, Shu-zhen HE2, 1, Chun-guang MA2, Jing WU2, Yu-hua MA3, Zhong-hua HU4, Zhen-xu NING1, Jian-xiu ZHANG1, Xiao-juan HUA1
Affiliations
  • Department of Public Health, Faculty of Medicine, Qinghai University, Xining, Qinghai 810000, China
Published: 2025-12-10 doi: 10.20043/j.cnki.MPM.202506145
Outline
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Objective

To explore the independent and interactive effects of meteorological factors and air pollutants on the outpatient visits of respiratory diseases in Xining City, and to provide a scientific basis for urban public health protection in plateau areas.

Methods

A time-stratified case-crossover design was used. Outpatient visit data for respiratory diseases from three hospitals in Xining during 2016—2021 were included, and pollutant data were obtained from the China Air Quality Online Monitoring Platform. A generalized nonlinear model was applied to assess the lagged effects of CO, O3, SO2, NO2, PM10,PM2.5 and temperature. Interactions were quantified using a bivariate response surface model, relative excess risk due to interaction (RERI), and attributable proportion (AP).

Results

The single pollutant model analysis showed that the risk of outpatient visits increased with higher concentrations of CO and NO2. SO2, PM10 and PM2.5 showed a ‘first increase and then decrease’ curve, and the peak RRs were 1.69, 1.55 and 1.80, respectively. O3 showed a ‘U’ shaped curve, and the trough RR was 0.76. The lag effect analysis indicated that same-day effects were strongest for SO2, NO2 and PM10. The peak RR of SO2 reached (RR=1.54, 95% CI: 1.26-1.88) at lag 7 days, and the cumulative lag effect of NO2 reached (RR=1.20, 95% CI: 1.11-1.31) at lag 3 days. The interaction analysis showed that SO2, NO2, PM10 and PM2.5 had a significant synergistic effect at low temperatures, but had an antagonistic effect with O3. Under high temperature conditions, it only had a synergistic effect with O3.

Conclusion

The risk of respiratory diseases in Xining is affected by the concentration of pollutants, temperature and their interaction. Low temperature aggravates the health hazards of gaseous pollutants and particulate matter, and high temperature enhances the hazard effect of O3.

Pollutants  /  Interaction  /  Respiratory diseases  /  Lag effect
李根山, 何淑珍, 马春光, 吴晶, 马玉花, 胡钟桦, 宁振旭, 张建秀, 华晓娟. 气象因素与空气污染物对呼吸系统疾病的影响及其交互作用. 现代预防医学, 2025 , 52 (23) : 4283 -4290 . DOI: 10.20043/j.cnki.MPM.202506145
Gen-shan LI, Shu-zhen HE, Chun-guang MA, Jing WU, Yu-hua MA, Zhong-hua HU, Zhen-xu NING, Jian-xiu ZHANG, Xiao-juan HUA. The effects of meteorological factors and air pollutants on respiratory diseases and their interaction[J]. Modern Preventive Medicine, 2025 , 52 (23) : 4283 -4290 . DOI: 10.20043/j.cnki.MPM.202506145
Year 2025 volume 52 Issue 23
36
18
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doi: 10.20043/j.cnki.MPM.202506145
  • Receive Date:2025-06-12
  • Online Date:2026-11-02
  • Published:2025-12-10
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  • Received:2025-06-12
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    Department of Public Health, Faculty of Medicine, Qinghai University, Xining, Qinghai 810000, China
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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
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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
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