Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model
BackgroundAsthma, a chronic respiratory disease, is a significant public health concern globally. Air pollution has been identified as one of the key risk factors exacerbating respiratory conditions, particularly in children. Previous studies have shown a correlation between air pollution levels and...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1560896/full |
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| author | Wenjing Li Ting Ding Yahui Feng Jin Xu Zhuo Li |
| author_facet | Wenjing Li Ting Ding Yahui Feng Jin Xu Zhuo Li |
| author_sort | Wenjing Li |
| collection | DOAJ |
| description | BackgroundAsthma, a chronic respiratory disease, is a significant public health concern globally. Air pollution has been identified as one of the key risk factors exacerbating respiratory conditions, particularly in children. Previous studies have shown a correlation between air pollution levels and asthma visits. However, the impact of air pollutants on childhood asthma visits stratified by gender, age and season remains a topic of interest, and further investigation is necessary to comprehend this complex relationship.ObjectiveThis study aimed to explore the association between air pollution and childhood asthma visits in Nanjing from 2013 to 2021. It focused on the effects of various pollutants, including PM2.5, PM10, NO2, SO2, CO, and O3, and examined variations in impact based on demographic characteristics (gender and age) and seasonal changes.MethodsData on childhood asthma visits and concentrations of air pollutants were collected and analyzed. The lag effects of pollutants on asthma visits were assessed, and the impacts were stratified by gender, age group (0–5 years, 6–11 years, and over 11 years), and season. Statistical methods were used to identify significant correlations and the timing of maximum effects of pollutants.ResultsA positive correlation was found between childhood asthma visits and concentrations of AQI, PM2.5, PM10, SO2, NO2, and CO, with the strongest effects typically occurring on lag day 1. The study revealed that PM2.5 and PM10 had a more pronounced impact on females, and children aged 0–5 years were the most affected age group. Seasonal analysis showed that PM2.5 and SO2 had the greatest impact in spring, while PM10 and NO2 were most significant in winter. Notably, SO2 showed no significant impact on childhood over 11 years old or during summer, and the negative correlation between CO concentrations and childhood asthma visits in the summer, while in other seasons, the correlation was positive.ConclusionThe findings indicate a substantial effect of air pollutants, particularly PM2.5 and SO2, on childhood asthma, emphasizing the need for targeted pollution control measures. Variations in impact based on gender, age, and season suggest the importance of tailored interventions to protect vulnerable populations, especially young children in urban and industrial areas. |
| format | Article |
| id | doaj-art-b7e52be1a787449bae5e6c8115fa7618 |
| institution | OA Journals |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-b7e52be1a787449bae5e6c8115fa76182025-08-20T02:20:12ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-04-011310.3389/fpubh.2025.15608961560896Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear modelWenjing Li0Ting Ding1Yahui Feng2Jin Xu3Zhuo Li4Department of Pharmacy, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaNational Climate Center, China Meteorological Administration, Beijing, ChinaDepartment of Emergency, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Pharmacy, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Emergency, Children’s Hospital of Nanjing Medical University, Nanjing, ChinaBackgroundAsthma, a chronic respiratory disease, is a significant public health concern globally. Air pollution has been identified as one of the key risk factors exacerbating respiratory conditions, particularly in children. Previous studies have shown a correlation between air pollution levels and asthma visits. However, the impact of air pollutants on childhood asthma visits stratified by gender, age and season remains a topic of interest, and further investigation is necessary to comprehend this complex relationship.ObjectiveThis study aimed to explore the association between air pollution and childhood asthma visits in Nanjing from 2013 to 2021. It focused on the effects of various pollutants, including PM2.5, PM10, NO2, SO2, CO, and O3, and examined variations in impact based on demographic characteristics (gender and age) and seasonal changes.MethodsData on childhood asthma visits and concentrations of air pollutants were collected and analyzed. The lag effects of pollutants on asthma visits were assessed, and the impacts were stratified by gender, age group (0–5 years, 6–11 years, and over 11 years), and season. Statistical methods were used to identify significant correlations and the timing of maximum effects of pollutants.ResultsA positive correlation was found between childhood asthma visits and concentrations of AQI, PM2.5, PM10, SO2, NO2, and CO, with the strongest effects typically occurring on lag day 1. The study revealed that PM2.5 and PM10 had a more pronounced impact on females, and children aged 0–5 years were the most affected age group. Seasonal analysis showed that PM2.5 and SO2 had the greatest impact in spring, while PM10 and NO2 were most significant in winter. Notably, SO2 showed no significant impact on childhood over 11 years old or during summer, and the negative correlation between CO concentrations and childhood asthma visits in the summer, while in other seasons, the correlation was positive.ConclusionThe findings indicate a substantial effect of air pollutants, particularly PM2.5 and SO2, on childhood asthma, emphasizing the need for targeted pollution control measures. Variations in impact based on gender, age, and season suggest the importance of tailored interventions to protect vulnerable populations, especially young children in urban and industrial areas.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1560896/fullair pollutantschildhood asthmageneralized additive modeldistributed lag non-linear modellag effect |
| spellingShingle | Wenjing Li Ting Ding Yahui Feng Jin Xu Zhuo Li Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model Frontiers in Public Health air pollutants childhood asthma generalized additive model distributed lag non-linear model lag effect |
| title | Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model |
| title_full | Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model |
| title_fullStr | Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model |
| title_full_unstemmed | Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model |
| title_short | Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model |
| title_sort | study on the impact of air pollutants on childhood asthma in nanjing based on a distributed lag non linear model |
| topic | air pollutants childhood asthma generalized additive model distributed lag non-linear model lag effect |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1560896/full |
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