Correlation between environmental factors and pediatric respiratory disease visits in a central hospital of Shanghai

ZHOU Shuangshuang; CAI Yizhou; MIAO Xueqin; ZHANG Lili; ZHOU Yibin; HE Dandan; LIU Jie; HU Yanqi

doi:10.16835/j.cnki.1000-9817.2025135

Volume 46 Issue 5

May 2025

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2025 > 46(5): 708-711

ZHOU Shuangshuang, CAI Yizhou, MIAO Xueqin, ZHANG Lili, ZHOU Yibin, HE Dandan, LIU Jie, HU Yanqi. 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

Citation:

ZHOU Shuangshuang, CAI Yizhou, MIAO Xueqin, ZHANG Lili, ZHOU Yibin, HE Dandan, LIU Jie, HU Yanqi. 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

Citation:

ZHOU Shuangshuang, CAI Yizhou, MIAO Xueqin, ZHANG Lili, ZHOU Yibin, HE Dandan, LIU Jie, HU Yanqi. 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

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Correlation between environmental factors and pediatric respiratory disease visits in a central hospital of Shanghai

doi: 10.16835/j.cnki.1000-9817.2025135

1.
Dean's Office of Minhang Hospital, Fudan University, Shanghai (201199), China

Received Date: 2025-01-07
Rev Recd Date: 2025-03-17

Available Online: 2025-06-07

Publish Date: 2025-05-25

Abstract

Abstract

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 (PM_2.5), inhalable particulate matter (PM₁₀), nitrogen dioxide (NO₂), and sulfur dioxide (SO₂) were associated with pediatric respiratory disease visits. After adjusting for temperature, PM_2.5 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

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References(17)

References

[1]	NAIR H, SIMOES E A, RUDAN I, et al. Global and regional burden of hospital admissions for severe acute lower respiratory infections in young children in 2010: a systematic analysis[J]. Lancet, 2013, 381: 1380-1390. doi: 10.1016/S0140-6736(12)61901-1
[2]	王瑞梅. 环境污染对呼吸系统疾病的影响研究[J]. 健康大视野, 2013, 21(16): 5. WANG R M. Research on the impact of environmental pollution on respiratory system diseases[J]. Health Horiz, 2013, 21(16): 5. (in Chinese)
[3]	ALMON S. The distributed lag between capital appropriations and expenditures[J]. Econometrica, 1965, 33(1): 178-196. doi: 10.2307/1911894
[4]	ARMSTRONG B. Models for the relationship between ambient temperature and daily mortality[J]. Epidemiology, 2006, 17(6): 624-631. doi: 10.1097/01.ede.0000239732.50999.8f
[5]	GASPARRINI A, ARMSTRONG B, KENWARD M G. Distributed lag non-linear models[J]. Stat Med, 2010, 29(21): 2224-2234. doi: 10.1002/sim.3940
[6]	路凤, 李亚伟, 李成橙, 等. 时间序列分析在空气污染与健康领域的应用及其R软件实现[J]. 中国卫生统计, 2018, 35(4): 622-625. LU F, LI Y W, LI C C, et al. Application of time series analysis in air pollution and health fields and implementation with R software[J]. Chin J Health Stat, 2018, 35(4): 622-625. (in Chinese)
[7]	中华人民共和国国家医疗保障局. ICD-10医保版[EB/OL]. (2019-06-27)[2025-01-07]. https://code.nhsa.gov.cn/jbzd/public/dataWesterSearch.html.
[8]	LIU Y C, HAN X L, CUI X D, et al. Association between air pollutants and acute exacerbation of chronic obstructive pulmonary disease: a time stratified case-crossover design with a distributed lag nonlinear model[J]. Geohealth, 2022, 6(2): e2021GH000529. doi: 10.1029/2021GH000529
[9]	ZHANG T T, QIN W, NIE T Y, et al. Effects of meteorological factors on the incidence of varicella in Lu'an, Eastern China, 2015-2020[J]. Environ Sci Pollut Res Int, 2022, 30(4): 10052-10062. doi: 10.1007/s11356-022-22878-0
[10]	杜娟, 唐应萍, 何平, 等. 贵阳市空气污染物对呼吸系统疾病门诊量的短期效应[J]. 环境与职业医学, 2024, 41(1): 62-69. DU J, TANG Y P, HE P, et al. Short-term effects of air pollutants on outpatient volume of respiratory diseases in Guiyang[J]. Environ Occup Med, 2024, 41(1): 62-69. (in Chinese)
[11]	刘准. 武汉市大气污染物水平与儿童呼吸道疾病门诊量的滞后效应分析[D]. 武汉: 武汉科技大学, 2018. LIU Z. The lag effectiveness analysis of the levels of air pollutants and the cases of respiratory diseases for child outpatient in Wuhan City[D]. Wuhan: Wuhan University of Science and Technology, 2018. (in Chinese)
[12]	胡继宏, 靳利梅, 赵翊, 等. 大气主要污染物与儿童呼吸系统疾病住院率关系调查研究[J]. 中国全科医学, 2017, 20(5): 586-589. HU J H, JIN L M, ZHAO Y, et al. Correlation of major air pollutants and the hospital rate of respiratory diseases among children[J]. Chin Gen Pract, 2017, 20(5): 586-589. (in Chinese)
[13]	王汉章, 金银龙. 空气污染对呼吸道影响机制的研究[J]. 旅行医学科学, 2001, 7(2): 29-33. WANG H Z, JIN Y L. The study on air pollution effects on the mechanism of respiratory system[J]. Sci Travel Med, 2001, 7(2): 29-33. (in Chinese)
[14]	SPANNHAKE E W, REDDY S P M, JACOB D B, et al. Synergism between rhinovirus infection and oxidant pollutant exposure enhances airway epithelial cell cytokine production[J]. Environ Health Perspect, 2002, 110: 665-670. doi: 10.1289/ehp.02110665
[15]	吴一峰, 赵凤敏, 钱旭君, 等. 宁波市江北区大气二氧化硫浓度与上呼吸道疾病门诊量的关系[J]. 卫生研究, 2015, 44(4): 5. WU Y F, ZHAO F M, QIAN X J, et al. Relationship between sulfur dioxide pollution and upper respiratory outpatients in Jiangbei, Ningbo[J]. J Hyg Res, 2015, 44(4): 5. (in Chinese)
[16]	陈小琳, 洪传洁, 陶旭光. 上海市大气二氧化硫污染与常见呼吸道慢性疾病的关系[J]. 中国慢性病预防与控制, 1994, 2(6): 259-261, 287. CHEN X L, HONG C J, TAO X G. Relaitionship between ambient sulfur dioxide pollution and common respiratory diseases in Shanghai[J]. Chin J Chronic Dis Prev Control, 1994, 2(6): 259-261, 287. (in Chinese)
[17]	上海市生态环境局. 2019上海市生态环境状况公报[Z]. 上海, 2020. Shanghai Municipal Bureau of Ecology and Environment. Shanghai environmental conditions bulletin 2019[Z]. Shanghai, 2020. (in Chinese)