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Association between ambient temperature and childhood respiratory hospital visits in Beijing, China: a time-series study (2013–2017)

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Abstract

Little is known on the potential impact of temperature on respiratory morbidity, especially for children whose respiratory system can be more vulnerable to climate changes. In this time-series study, Poisson generalized additive models combined with distributed lag nonlinear models were used to assess the associations between ambient temperature and childhood respiratory morbidity. The impacts of extreme cold and hot temperatures were calculated as cumulative relative risks (cum.RRs) at the 1st and 99th temperature percentiles relative to the minimum morbidity temperature percentile. Attributable fractions of respiratory morbidity due to cold or heat were calculated for temperatures below or above the minimum morbidity temperature. Effect modifications by air pollution, age, and sex were assessed in stratified analyses. A total of 877,793 respiratory hospital visits of children under 14 years old between 2013 and 2017 were collected from Beijing Children’s Hospital. Overall, we observed J-shaped associations with greater respiratory morbidity risks for exposure to lower temperatures, and higher fraction of all-cause respiratory hospital visits was caused by cold (33.1%) than by heat (0.9%). Relative to the minimum morbidity temperature (25 °C, except for rhinitis, which is 31 °C), the cum.RRs for extreme cold temperature (-6 °C) were 2.64 (95%CI: 1.51–4.61) for all-cause respiratory hospital visits, 2.73 (95%CI: 1.44–5.18) for upper respiratory infection, 2.76 (95%CI: 1.56–4.89) for bronchitis, 2.12 (95%CI: 1.30–3.47) for pneumonia, 2.06 (95%CI: 1.27–3.34) for rhinitis, and 4.02 (95%CI: 2.14–7.55) for asthma, whereas the associations between extreme hot temperature (29 °C) and respiratory hospital visits were not significant. The impacts of extreme cold temperature on asthma hospital visits were greater at higher levels of ozone (O3) exposure (> 50th percentile). Our findings suggest significantly increased childhood respiratory morbidity risks at extreme cold temperature, and the impact of extreme cold temperature on asthma hospital visits can be enhanced under higher level exposure to O3.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgments

We thank all those who have helped us.

Funding

This study was supported by grants from National Key Research and Development Project (2017YFC0211701, 2016YFC0901103).

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Authors and Affiliations

Authors

Contributions

Concept and design: W Huang, BP Xu, QH Zhang. Acquisition, analysis, or interpretation of data: J Song, RS Wu, HB Xu, YT Zhu, X Xu. Drafting of the manuscript: JK Fang, J Song. Critical revision of the manuscript for important intellectual content: W Huang, BP Xu. Statistical analysis: JK Fang, HB Xu, RS Wu, T Wang, NM Yuan. Obtained funding: W Huang, BP Xu. Administrative, technical, or material support: XM Song, YP Zeng, YF Xie. Supervision: W Huang, BP Xu, QH Zhang. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Baoping Xu or Wei Huang.

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Ethics approval and consent to participate

This study did not contain confidential patient data. The Institutional Review Board of Beijing Children’s Hospital, Capital Medical University approved this study (IEC-C-028-A10-V.05). The patient’s consent to participate is not applicable in this study.

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Not applicable.

Competing interests

The authors declare no competing interests.

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Responsible Editor: Lotfi Aleya

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Fang, J., Song, J., Wu, R. et al. Association between ambient temperature and childhood respiratory hospital visits in Beijing, China: a time-series study (2013–2017). Environ Sci Pollut Res 28, 29445–29454 (2021). https://doi.org/10.1007/s11356-021-12817-w

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  • DOI: https://doi.org/10.1007/s11356-021-12817-w

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