Evidence map›Paper›PMID 26922412›Full record

ArticleEnvironmental research2016

Warm season temperatures and emergency department visits in Atlanta, Georgia.

Andrea Winquist, Andrew Grundstein, Howard H Chang, Jeremy Hess, Stefanie Ebelt Sarnat

Abstract read
In one paragraph

Article in Environmental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrea WinquistDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA. Electronic address: awinqui@emory.edu.
Andrew GrundsteinDepartment of Geography, University of Georgia, 210 Field Street, Atlanta, GA 30322, USA. Electronic address: andrewg@uga.edu.
Howard H ChangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA. Electronic address: howard.chang@emory.edu.
Jeremy HessDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA. Electronic address: jjhess@uw.edu.
Stefanie Ebelt SarnatDepartment of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA. Electronic address: sebelt@emory.edu.

Funding

Multiple Pollutants and Cardiorespiratory OutcomesR01ES011294 · NIEHS · EMORY UNIVERSITY · PI TOLBERT, PAIGE E · 2002 to 2005
$1.1M
Climate change and heat-related morbidity among vulnerable populations in AtlantaR21ES023763 · NIEHS · EMORY UNIVERSITY · PI EBELT, STEFANIE · 2013 to 2014
$439k
NIEHS NIH HHS R01 ES011294NIEHS NIH HHS R01ES11294NIEHS NIH HHS R21 ES023763NIEHS NIH HHS R21ES023763
6 · The paper itself

Abstract

purposeExtreme heat events will likely increase in frequency with climate change. Heat-related health effects are better documented among the elderly than among younger age groups. We assessed associations between warm-season ambient temperature and emergency department (ED) visits across ages in Atlanta during 1993-2012.

methodsWe examined daily counts of ED visits with primary diagnoses of heat illness, fluid/electrolyte imbalances, renal disease, cardiorespiratory diseases, and intestinal infections by age group (0-4, 5-18, 19-64, 65+years) in relation to daily maximum temperature (TMX) using Poisson time series models that included cubic terms for TMX at single-day lags of 0-6 days, controlling for maximum dew-point temperature, time trends, week day, holidays, and hospital participation periods. We estimated rate ratios (RRs) and 95% confidence intervals (CI) for TMX changes from 27°C to 32°C (25th to 75th percentile) and conducted extensive sensitivity analyses.

resultsWe observed associations between TMX and ED visits for all internal causes, heat illness, fluid/electrolyte imbalances, renal diseases, asthma/wheeze, diabetes, and intestinal infections. Age groups with the strongest observed associations were 65+years for all internal causes [lag 0 RR (CI)=1.022 (1.016-1.028)] and diabetes [lag 0 RR=1.050 (1.008-1.095)]; 19-64 years for fluid/electrolyte imbalances [lag 0 RR=1.170 (1.136-1.205)] and renal disease [lag 1 RR=1.082 (1.065-1.099)]; and 5-18 years for asthma/wheeze [lag 2 RR=1.059 (1.030-1.088)] and intestinal infections [lag 1 RR=1.120 (1.041-1.205)].

conclusionsVarying strengths of associations between TMX and ED visits by age suggest that optimal interventions and health-impact projections would account for varying heat health impacts across ages.

Indexed as

SeasonsAdolescentAdultAgedChildChild, PreschoolCitiesEmergency Medical ServicesEmergency Service, HospitalExtreme HeatGeorgiaHeat Stress DisordersHumansInfantMiddle AgedModels, StatisticalClimate changeEmergency department visitsHeatTemperatureTime series

Identifiers

PMID26922412
PMCPMC4821766

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.