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Dataset Information

Impact of ambient temperature, diurnal temperature range on hyperventilation syndrome emergency admission: a time-series analysis in Beijing, China.


ABSTRACT:

Objectives

To assess the association between ambient temperature and diurnal temperature range (DTR) on emergency admissions for hyperventilation syndrome (HVS).

Design

Distributed lag non-linear model design was used with a lag time to 5 days.

Setting

Emergency admission data used were from the Beijing Red Cross Emergency Centre (2017-2018).

Participants and exposure

Cases were those with emergency visits to the Beijing Emergency Center during the period 2017-2018 and who were given the primary outcome indicator defined as HVS according to the International Classification of Diseases, 10th edition code F45.303. Ambient temperature and DTR were used as exposure factors with adjustments for relative humidity, wind speed, precipitation, seasonality long-term tren

SUBMITTER: Wang J 

PROVIDER: S-EPMC10884205 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature