2020
DOI: 10.1371/journal.pmed.1003176
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Temporal trends of the association between ambient temperature and hospitalisations for cardiovascular diseases in Queensland, Australia from 1995 to 2016: A time-stratified case-crossover study

Abstract: Background In the context of global warming, studies have turned to assess the temporal trend of the association between temperature and health outcomes, which can be used to reflect whether human beings have adapted to the local temperature. However, most studies have only focused on hot temperature and mortality. We aim to investigate the temporal variations in the association between ambient temperature and hospitalisations for cardiovascular diseases in Queensland, Australia from 1995 to 2016.

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Cited by 64 publications
(50 citation statements)
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“…Confirming the results of a previous study on hospitalized adults [37], the present dataset did not show a RV species-specific association for all but one underlying comorbidity, which was the presence of cardiovascular disease. This difference may be associated with an increased risk of hospitalization due to cardiovascular risk factors at lower ambient temperatures [38,39]. RV-B was not detected between June and August, which may have led to the higher prevalence of this comorbidity in this specific subgroup compared to RV-A and RV-C.…”
Section: Discussionmentioning
confidence: 88%
“…Confirming the results of a previous study on hospitalized adults [37], the present dataset did not show a RV species-specific association for all but one underlying comorbidity, which was the presence of cardiovascular disease. This difference may be associated with an increased risk of hospitalization due to cardiovascular risk factors at lower ambient temperatures [38,39]. RV-B was not detected between June and August, which may have led to the higher prevalence of this comorbidity in this specific subgroup compared to RV-A and RV-C.…”
Section: Discussionmentioning
confidence: 88%
“… 18 , 19 ns ( rh it ) represents the natural cubic spline function of the daily mean relative humidity with three df . As suggested by previous studies, 20 , 21 we used a moving average relative humidity of 0–10 lag days and we set the knots at the 25th and 75th percentiles of the distribution of humidity. The holiday variable is binary.…”
Section: Methodsmentioning
confidence: 99%
“…The difference findings may be due to people living in different climatic environments with different tolerances to temperature. In addition, there may be certain time temporal trends in the association of ambient temperature and health ( 57 , 58 ).…”
Section: Discussionmentioning
confidence: 99%