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Short-term exposure to air pollution and Mycoplasma pneumoniae infection risk: a distributed lag nonlinear analysis
Zhiping Long1, Zhiping Du1, Liyan Qian1
1Infectious Disease Control Section, Jinhua Center for Disease Control and Prevention, Jinhua, Zhejiang, China.
Background:
Short-term impacts of ambient air pollution on Mycoplasma pneumoniae (MP) infections are understudied. This study explored exposure-lag-response associations between key air pollutants and MP infections in Jinhua, China.
Methods:
Daily MP cases (2023-2024), air pollutant and meteorological data were collected. Quasi-Poisson regression with distributed lag non-linear models analyzed six pollutants' non-linear/delayed effects (0-21 lags) with confounder adjustment, and sex/age subgroup analyses were conducted.
Results:
A total of 154,697 MP infections were reported. NO₂, CO, PM₁₀ and PM₂.₅ were positively correlated with daily MP cases, while O₃ showed a negative correlation. NO₂, PM₁₀ and PM₂.₅ had the strongest lag effects within 0-7 days, with immediate RRs (lag 0) of 1.136, 1.104 and 1.105, and substantial 21-day cumulative RRs of 1.947, 1.867 and 2.599, respectively. Subgroup analyses revealed children aged 0-14 years had the highest susceptibility to the pollutants.
Conclusions:
Short-term exposure to NO₂, PM₁₀ and PM₂.₅ significantly increases MP infection risk, especially in children, emphasizing the necessity of targeted air quality interventions.
Insights
Short-term exposure to air pollutants like NO₂, PM₁₀, and PM₂.₅ significantly increases Mycoplasma pneumoniae infections, particularly in children. This highlights the need for air quality interventions to reduce infection risk.
Area of Science:
- Environmental Health
- Epidemiology
- Respiratory Infections
Background:
- Short-term effects of ambient air pollution on Mycoplasma pneumoniae (MP) infections are not well understood.
- This study investigates the relationship between air pollutants and MP infections in Jinhua, China.
Purpose of the Study:
- To explore exposure-lag-response associations between key air pollutants and MP infections.
- To identify specific pollutants and time lags associated with increased MP case counts.
Main Methods:
- Utilized daily MP case data (2023-2024), air pollutant, and meteorological data.
- Employed quasi-Poisson regression with distributed lag non-linear models to analyze non-linear and delayed effects of six pollutants.
- Conducted subgroup analyses based on sex and age, focusing on children (0-14 years).
Main Results:
- A total of 154,697 MP infections were reported.
- Nitrogen dioxide (NO₂), carbon monoxide (CO), particulate matter <10 μm (PM₁₀), and particulate matter <2.5 μm (PM₂.₅) showed positive correlations with MP cases.
- NO₂, PM₁₀, and PM₂.₅ exhibited the strongest effects within 0-7 days, with significant 21-day cumulative risks. Children aged 0-14 years were most susceptible.
Conclusions:
- Short-term exposure to NO₂, PM₁₀, and PM₂.₅ significantly elevates the risk of MP infections.
- Children are particularly vulnerable to air pollution-induced MP infections.
- Findings underscore the importance of targeted air quality interventions to mitigate MP infection risks.
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