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Dataset Information

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


ABSTRACT:

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 a

SUBMITTER: Zhao T 

PROVIDER: S-EPMC9252039 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature