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Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis

OBJECTIVES: Previous studies on the association between temperature and preeclampsia mainly considered temperature on a monthly or seasonal time scale. The objective of this study was to assess the preeclampsia risk associated with short-term temperature exposure using daily data. STUDY DESIGN: Dail...

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Autores principales: Zhao, Tingting, Long, Wei, Lu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252039/
https://www.ncbi.nlm.nih.gov/pubmed/35787682
http://dx.doi.org/10.1186/s12884-022-04859-w
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author Zhao, Tingting
Long, Wei
Lu, Peng
author_facet Zhao, Tingting
Long, Wei
Lu, Peng
author_sort Zhao, Tingting
collection PubMed
description OBJECTIVES: Previous studies on the association between temperature and preeclampsia mainly considered temperature on a monthly or seasonal time scale. The objective of this study was to assess the preeclampsia risk associated with short-term temperature exposure using daily data. STUDY DESIGN: Daily preeclampsia hospitalization data, daily meteorological data and daily air pollutant data from Nanjing were collected from 2016 to 2017. Both the T test and distributed lag nonlinear model (DLNM) were applied to assess the short-term effect of temperature on preeclampsia risk. Three kinds of daily temperature, including the daily mean temperature, daily minimum temperature and daily maximum temperature, were analysed. RESULTS: When the daily number of preeclampsia hospital admissions was divided into two subgroups based on temperature, it was significantly larger on cold days than on hot days. Regarding the mean temperature, a very low level of mean temperature (4.5 °C, lag = 0–20) and a low level of mean temperature (9.1 °C, lag = 0–20) increased the cumulative relative risk of preeclampsia by more than 60%. At the same time, a very high level of mean temperature (28.7 °C, lags = 0–10, 0–15, 0–20) and a high level of mean temperature (24.1 °C, lags = 0–10, 0–15) decreased the cumulative relative risk of preeclampsia by more than 35%. At a minimum temperature, a very low level of minimum temperature (0.9 °C, lag 0–5) and a low level of minimum temperature (5.6 °C, lag 0–5) increased the cumulative relative risk of preeclampsia by more than 55%. At the same time, a high level of mean temperature (20.9 °C, lags = 0, 0–5) decreased the cumulative relative risk of preeclampsia by more than 20%. The maximum temperature result was similar to the mean temperature result. CONCLUSIONS: Both direct and lag effects of low temperature on preeclampsia were demonstrated to be significant risk factors. These results could be used to help pregnant women and the government reduce preeclampsia risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04859-w.
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spelling pubmed-92520392022-07-05 Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis Zhao, Tingting Long, Wei Lu, Peng BMC Pregnancy Childbirth Research OBJECTIVES: Previous studies on the association between temperature and preeclampsia mainly considered temperature on a monthly or seasonal time scale. The objective of this study was to assess the preeclampsia risk associated with short-term temperature exposure using daily data. STUDY DESIGN: Daily preeclampsia hospitalization data, daily meteorological data and daily air pollutant data from Nanjing were collected from 2016 to 2017. Both the T test and distributed lag nonlinear model (DLNM) were applied to assess the short-term effect of temperature on preeclampsia risk. Three kinds of daily temperature, including the daily mean temperature, daily minimum temperature and daily maximum temperature, were analysed. RESULTS: When the daily number of preeclampsia hospital admissions was divided into two subgroups based on temperature, it was significantly larger on cold days than on hot days. Regarding the mean temperature, a very low level of mean temperature (4.5 °C, lag = 0–20) and a low level of mean temperature (9.1 °C, lag = 0–20) increased the cumulative relative risk of preeclampsia by more than 60%. At the same time, a very high level of mean temperature (28.7 °C, lags = 0–10, 0–15, 0–20) and a high level of mean temperature (24.1 °C, lags = 0–10, 0–15) decreased the cumulative relative risk of preeclampsia by more than 35%. At a minimum temperature, a very low level of minimum temperature (0.9 °C, lag 0–5) and a low level of minimum temperature (5.6 °C, lag 0–5) increased the cumulative relative risk of preeclampsia by more than 55%. At the same time, a high level of mean temperature (20.9 °C, lags = 0, 0–5) decreased the cumulative relative risk of preeclampsia by more than 20%. The maximum temperature result was similar to the mean temperature result. CONCLUSIONS: Both direct and lag effects of low temperature on preeclampsia were demonstrated to be significant risk factors. These results could be used to help pregnant women and the government reduce preeclampsia risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04859-w. BioMed Central 2022-07-04 /pmc/articles/PMC9252039/ /pubmed/35787682 http://dx.doi.org/10.1186/s12884-022-04859-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhao, Tingting
Long, Wei
Lu, Peng
Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis
title Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis
title_full Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis
title_fullStr Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis
title_full_unstemmed Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis
title_short Short-term effects of ambient temperature on the risk of preeclampsia in Nanjing, China: a time-series analysis
title_sort short-term effects of ambient temperature on the risk of preeclampsia in nanjing, china: a time-series analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252039/
https://www.ncbi.nlm.nih.gov/pubmed/35787682
http://dx.doi.org/10.1186/s12884-022-04859-w
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