PLoS ONE · 2013 · 96 citations · 27 references
Public HealthChild HealthInfectious DiseasesEpidemiologic MethodsEpidemiologyPediatric EpidemiologyAir Temperature EffectsChild Health EpidemiologyInfectious DiarrheaPediatric Diarrheal DisordersAutoregressive Distributed Lag ModelsClimate-linked RiskDistributed Lag ModelsDiurnal Temperature FluctuationsDiurnal Temperature Range EffectsDiurnal Temperature VariabilityLag PhaseLinear Regression
BACKGROUND: Previous studies have found that high and cold temperatures increase the risk of childhood diarrhea. However, little is known about whether the within-day variation of temperature has any effect on childhood diarrhea. METHODS: A Poisson generalized linear regression model combined with a distributed lag non-linear model was used to examine the relationship between diurnal temperature range and emergency department admissions for diarrhea among children under five years in Brisbane, from 1st January 2003 to 31st December 2009. RESULTS: There was a statistically significant relationship between diurnal temperature range and childhood diarrhea. The effect of diurnal temperature range on childhood diarrhea was the greatest at one day lag, with a 3% (95% confidence interval: 2%-5%) increase of emergency department admissions per 1°C increment of diurnal temperature range. CONCLUSION: Within-day variation of temperature appeared to be a risk factor for childhood diarrhea. The incidence of childhood diarrhea may increase if climate variability increases as predicted.
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