Julia M. Gohlke

Julia M. Gohlke

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 December 2012 in Climatic Change
Verified
Journal Article
Closed access
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TSTiffany T. Smith
Tiffany T. Smith
BZBenjamin Zaitchik
Benjamin Zaitchik
JGJulia M. Gohlke
Julia M. Gohlke

16 August 2017 in Environmental Health Perspectives
Verified
Journal Article
Open access
EKEvan R. Kuras
Evan R. Kuras
MRMolly B. Richardson
Molly B. Richardson
MCMiriam M. Calkins
Miriam M. Calkins
KEKristie L. Ebi
Kristie L. Ebi
JHJeremy J. Hess
Jeremy J. Hess
DHDavid M. Hondula
David M. Hondula
A peer-reviewed open access journal published by the National Institute of Environmental Health Sciences

1 February 2014 in Environmental Health Perspectives
Verified
Journal Article
Open access
SKShia T. Kent
Shia T. Kent
LMLeslie A. McClure
Leslie A. McClure
BZBenjamin Zaitchik
Benjamin Zaitchik
TSTiffany T. Smith
Tiffany T. Smith
JGJulia M. Gohlke
Julia M. Gohlke
Background: A deeper understanding of how heat wave definition affects the relationship between heat exposure and health, especially as a function of rurality, will be useful in developing effective heat wave warning systems. Objective: We compared the relationships between different heat wave index (HI) definitions and preterm birth (PTB) and nonaccidental death (NAD) across urban and rural areas. Methods: We used a time-stratified case-crossover design to estimate associations of PTB and NAD with heat wave days (defined using 15 HIs) relative to non–heat wave control days in Alabama, USA (1990–2010). ZIP code–level HIs were derived using data from the North American Land Data Assimilation System. Associations with heat wave days defined using different HIs were compared by bootstrapping. We also examined interactions with rurality. Results: Associations varied depending on the HI used to define heat wave days. Heat waves defined as having at least 2 consecutive days with mean daily temperatures above the 98th percentile were associated with 32.4% (95% CI: 3.7, 69.1%) higher PTB, and heat waves defined as at least 2 consecutive days with mean daily temperatures above the 90th percentile were associated with 3.7% (95% CI: 1.1, 6.3%) higher NAD. Results suggest that significant positive associations were more common when relative—compared with absolute—HIs were used to define exposure. Both positive and negative associations were found in each rurality stratum. However, all stratum-specific significant associations were positive, and NAD associations with heat waves were consistently positive in urban strata but not in middle or rural strata. Conclusions: Based on our findings, we conclude that a relative mean-temperature-only heat wave definition may be the most effective metric for heat wave warning systems in Alabama. Citation: Kent ST, McClure LA, Zaitchik BF, Smith TT, Gohlke JM. 2014. Heat waves and health outcomes in Alabama (USA): the importance of heat wave definition. Environ Health Perspect 122:151–158; http://dx.doi.org/10.1289/ehp.1307262

3 March 2016 in Journal of Epidemiology and Community Health
Verified
Journal Article
Open access
PDF file
CPChristopher J Portier
Christopher J Portier
BABruce K Armstrong
Bruce K Armstrong
BBBruce C Baguley
Bruce C Baguley
XBXaver Baur
Xaver Baur
IBIgor Belyaev
Igor Belyaev
SZShu-Feng Zhou
Shu-Feng Zhou

21 April 2010 in Environmental Health Perspectives
Verified
Journal Article
Closed access
CPChristopher Portier
Christopher Portier
KTKimberly Thigpen Tart
Kimberly Thigpen Tart
SCSarah Carter
Sarah Carter
CDCaroline Dilworth
Caroline Dilworth
AGAnne Grambsch
Anne Grambsch
PWPai-Yei Whung
Pai-Yei Whung

1 February 2015 in Environmental Research
Verified
Journal Article
Closed access
MBMolly C. Bernhard
Molly C. Bernhard
SKShia T. Kent
Shia T. Kent
MSMeagan E. Sloan
Meagan E. Sloan
MEMary B. Evans
Mary B. Evans
LMLeslie A. McClure
Leslie A. McClure
JGJulia M. Gohlke
Julia M. Gohlke