Objective To investigate the association between air pollutant exposure and outpatient visit risk for community-acquired pneumonia (CAP) among children and adolescents, and to further evaluate its lagged effects and seasonal characteristics.
Methods Clinical data from children and adolescents diagnosed with CAP at the First People's Hospital of Tianmen between 2021 and 2024 were collected, along with concurrent air pollutant and meteorological data. Descriptive statistics and Spearman correlation analysis were employed to evaluate the relationships among environmental variables and their associations with daily hospital visits. Generalized additive models were constructed to estimate the lagged effects of both single- and multi-pollutant models at optimal lag days. Distributed lag non-linear models (DLNM) were utilized to explore the lag-exposure-response relationship of pollutant.
Results A total of 7,939 patients were included. The monthly average number of visits showed obvious seasonal variation, with high incidence in winter and spring, mainly in children aged ≤ 2 years and male patients. Spearman correlation analysis showed that temperature (r=0.291), humidity (r=0.149), and CO (r=0.106) were weakly positively correlated with daily CAP visits (P < 0.001), whereas O3 showed a weak negative correlation (r=-0.058, P=0.032). Single-pollutant models showed that CO [RR=26.508,95%CI (5.096,137.897)], SO2 [RR=1.361, 95%CI (1.125, 1.648)] and PM10 [RR=1.016, 95%CI(1.008, 1.023)] were significantly associated with increased CAP outpatient risk. In multi-pollutant models, PM10 maintained a relatively stable positive association with CAP visits, whereas the association for CO was less robust. DLNM analysis revealed that the association between PM10 exposure and CAP visits increased at lag 2-5 days, with stronger associations during the mid-to-late lag period, while CO showed a relatively weak lagged effect.
Conclusion Exposure to ambient air pollutants was associated with an increased risk of CAP-related outpatient visits among children and adolescents. Among the pollutants examined, PM10 demonstrated a relatively stable lagged effect, suggesting that air pollution may contribute to the development and progression of pediatric respiratory diseases.
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1. 王爽, 王雪峰, 李娜, 等. 1788例社区获得性肺炎非细菌性病原体分布特征分析[J]. 中国当代儿科杂志, 2023, 25(6): 633-638.WangS, WangXF, LiN, et al. Distribution of non-bacterial pathogens in 1788 children with community-acquired pneumonia[J]. Chinese Journal of Contemporary Pediatrics, 2023, 25(6): 633-638.
2. HaoOM, WangXF, LiuJP, et al. Etiology of community-acquired pneumonia in 1500 hospitalized children[J]. J Med Virol, 2018, 90(3):421-428. doi:10.1002/jmv.24963
3. LeeJT. Review of epidemiological studies on air pollution and health effects in children[J]. Clin Exp Pediatr, 2021, 64(1): 3-11. doi:10.3345/cep.2019.00843
4. AithalSS, SachdevaI, KurmiOP. Air quality and respiratory health in children[J]. Breathe (Sheff), 2023, 19(2): 230040. doi:10.1183/20734735.0040-2023
5. LiuL, WangB, QianN, et al. Association between ambient PM2.5 and outpatient visits of children's respiratory diseases in a megacity in Central China[J]. Front Public Health, 2022, 10: 952662. doi:10.3389/fpubh.2022.952662
6. 中华医学会儿科学分会呼吸学组, 中华儿科杂志编辑委员会, 中国医药教育协会儿科专业委员会. 儿童社区获得性肺炎管理指南(2024修订)[J].中华儿科杂志, 2024, 62(10): 920-930. doi:10.3760/cma.j.cn112140-20240728-00523The Subspecialty Group of Respiratory, the Society of Pediatrics, Chinese Medical Association; the Editorial Board, Chinese Journal of Pediatrics; China Medicine Education Association Committee on Pediatrics Guidelines for the management of community-acquired pneumonia in children (2024 revision)[J]. Chinese Journal of Pediatrics, 2024, 62(10): 920-930. doi:10.3760/cma.j.cn112140-20240728-00523
7. JainS, WilliamsDJ, ArnoldSR, et al. Community-acquired pneumonia requiring hospitalization among US children[J]. N Engl J Med, 2015, 372(9): 835-845.
8. GasparriniA, ArmstrongB, KenwardMG. Distributed lag non-linear models[J]. Stat Med, 2010, 29(21): 2224-2234. doi:10.1002/sim.3940
9. GasparriniA. Modeling exposure-lag-response associations with distributed lag non-linear models[J]. Stat Med, 2014, 33(5): 881-899. doi:10.1002/sim.5963
10. HeinonenS, Rodriguez-FernandezR, DiazA, et al. Infant immune response to respiratory viral infections[J]. Immunol Allergy Clin North Am, 2019, 39(3): 361-376. doi:10.1016/j.iac.2019.03.005
11. YinM, YanD, LuY, et al. Analysis of spatiotemporal variation characteristics of atmospheric quality in China's city clusters from 2015 to 2023 and their socio-economic driving forces[J]. J Environ Manage, 2025, 392: 126791. doi:10.1016/j.jenvman.2025.126791
12. XieLY, WangT, YuT, et al. Seasonality of respiratory syncytial virus infection in children hospitalized with acute lower respiratory tract infections in Hunan, China, 2013-2022[J]. Virol J, 2024, 21(1): 62. doi:10.1186/s12985-024-02336-8
13. QiuW, DingJ, ZhangH, et al. Mycoplasma pneumoniae detections in children with lower respiratory infection before and during the COVID-19 pandemic: a large sample study in China from 2019 to 2022[J]. BMC Infect Dis, 2024, 24(1): 549. doi:10.1186/s12879-024-09438-2
14. LuX, LiR, YanX. Airway hyperresponsiveness development and the toxicity of PM2.5[J]. Environ Sci Pollut Res Int, 2021, 28(6): 6374-6391. doi:10.1007/s11356-020-12051-w
15. WuS, NiY, LiH, et al. Short-term exposure to high ambient air pollution increases airway inflammation and respiratory symptoms in chronic obstructive pulmonary disease patients in Beijing, China[J]. Environ Int, 2016, 94: 76-82. doi:10.1016/j.envint.2016.05.004
16. GhazalyMMH, Abu FaddanNH, RaafatDM, et al. Acute viral bronchiolitis as a cause of pediatric acute respiratory distress syndrome[J]. Eur J Pediatr, 2021, 180(4): 1229-1234. doi:10.1007/s00431-020-03852-9
17. BauerI, PannenBH. Bench-to-bedside review: carbon monoxide--from mitochondrial poisoning to therapeutic use[J]. Crit Care, 2009, 13(4): 220-220. doi:10.1186/cc7887
18. XingYF, XuYH, ShiMH, et al. The impact of PM2.5 on the human respiratory system[J]. J Thorac Dis, 2016, 8(1): e69-74.
19. NascimentoAP, SantosJM, MillJG, et al. Association between the incidence of acute respiratory diseases in children and ambient concentrations of SO2, PM10 and chemical elements in fine particles[J]. Environ Res, 2020,188: 109619. doi:10.1016/j.envres.2020.109619
20. NhungNTT, AminiH, SchindlerC, et al. Short-term association between ambient air pollution and pneumonia in children: a systematic review and Meta-analysis of time-series and case-crossover studies[J]. Environ Pollut, 2017, 230: 1000-1008. doi:10.1016/j.envpol.2017.07.063