Abstract

Identification of populations susceptible to heat effects is critical for targeted prevention and more accurate risk assessment. Fluid and electrolyte imbalance (FEI) may provide an objective indicator of heat morbidity. Data on daily ambient temperature and FEI emergency department (ED) visits were collected in Atlanta, Georgia, USA during 1993–2012. Associations of warm-season same-day temperatures and FEI ED visits were estimated using Poisson generalized linear models. Analyses explored associations between FEI ED visits and various temperature metrics (maximum, minimum, average, and diurnal change in ambient temperature, apparent temperature, and heat index) modeled using linear, quadratic, and cubic terms to allow for non-linear associations. Effect modification by potential determinants of heat susceptibility (sex; race; comorbid congestive heart failure, kidney disease, and diabetes; and neighborhood poverty and education levels) was assessed via stratification. Higher warm-season ambient temperature was significantly associated with FEI ED visits, regardless of temperature metric used. Stratified analyses suggested heat-related risks for all populations, but particularly for males. This work highlights the utility of FEI as an indicator of heat morbidity, the health threat posed by warm-season temperatures, and the importance of considering susceptible populations in heat-health research.

Highlights

  • Climate change is predicted to increase the intensity, frequency, and duration of extreme heat events [1], in large metropolitan areas [2]

  • The diurnal change in temperature (TDC) and apparent temperature (ATDC) metrics were highly correlated with each other (Spearman correlation coefficient = 0.96) and showed weaker correlations with the other temperature metrics

  • TDC and ATDC were negatively correlated with minimum temperature metrics and were positively correlated with maximum temperature metrics, suggesting that within-day changes in temperature were smaller with increasing temperature lows and larger with increasing temperature highs

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Summary

Introduction

Climate change is predicted to increase the intensity, frequency, and duration of extreme heat events [1], in large metropolitan areas [2]. Among the studies that have examined heat-related morbidity, investigators using emergency department (ED) visit and hospital admissions data have demonstrated an association between heat exposure and health care utilization for a variety of conditions including heat illnesses (defined as heat cramps, heat exhaustion, or heat stroke) [10,11,12,13,14,15,16,17], heart disease, renal disease, and diabetes [10,11,12,14,15,18,19,20]. Dehydration due to heat exposure may exacerbate these health conditions by increasing cardiovascular strain and impairing other thermoregulatory processes [21]; previous studies assessing susceptibility to. Public Health 2016, 13, 982; doi:10.3390/ijerph13100982 www.mdpi.com/journal/ijerph

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