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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">101262796</journal-id><journal-id journal-id-type="pubmed-jr-id">32819</journal-id><journal-id journal-id-type="nlm-ta">J Expo Sci Environ Epidemiol</journal-id><journal-id journal-id-type="iso-abbrev">J Expo Sci Environ Epidemiol</journal-id><journal-title-group><journal-title>Journal of exposure science &#x00026; environmental epidemiology</journal-title></journal-title-group><issn pub-type="ppub">1559-0631</issn><issn pub-type="epub">1559-064X</issn></journal-meta><article-meta><article-id pub-id-type="pmid">30728486</article-id><article-id pub-id-type="pmc">7971189</article-id><article-id pub-id-type="doi">10.1038/s41370-019-0120-y</article-id><article-id pub-id-type="manuscript">HHSPA1677778</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Permethrin exposure from wearing fabric-treated military uniforms in
high heat conditions under varying wear-time scenarios</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Proctor</surname><given-names>Susan P.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Maule</surname><given-names>Alexis L.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Heaton</surname><given-names>Kristin J.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Cadarette</surname><given-names>Bruce S.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Guerriere</surname><given-names>Katelyn I.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Haven</surname><given-names>Caitlin C.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Taylor</surname><given-names>Kathryn M.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Scarpaci</surname><given-names>Matthew M.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Ospina</surname><given-names>Maria</given-names></name><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Calafat</surname><given-names>Antonia M.</given-names></name><xref ref-type="aff" rid="A5">5</xref></contrib></contrib-group><aff id="A1"><label>1</label>United States Army Research Institute of Environmental
Medicine, Military Performance Division, 10 General Greene Avenue, Natick, MA,
USA</aff><aff id="A2"><label>2</label>VA Boston Healthcare System, Research Service, 180 South
Huntington Avenue, Boston, MA, USA</aff><aff id="A3"><label>3</label>Department of Environmental Health, Boston University
School of Public Health, 715 Albany Street, Boston, MA, USA</aff><aff id="A4"><label>4</label>Henry M. Jackson Foundation for the Advancement of Military
Medicine, 6720-ARockledge Drive, Suite 100, Bethesda, MD, USA</aff><aff id="A5"><label>5</label>Centers for Disease Control and Prevention, National Center
for Environmental Health, Division of Laboratory Sciences, 4770 Buford Hwy, Atlanta,
GA, USA</aff><author-notes><corresp id="CR1"><label>&#x02709;</label>Susan P. Proctor,
<email>susan.p.proctor.civ@mail.mil</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>27</day><month>2</month><year>2021</year></pub-date><pub-date pub-type="epub"><day>06</day><month>2</month><year>2019</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2020</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>5</month><year>2021</year></pub-date><volume>30</volume><issue>3</issue><fpage>525</fpage><lpage>536</lpage><!--elocation-id from pubmed: 10.1038/s41370-019-0120-y--><abstract id="ABS1"><p id="P1">This study examined the effect of high-temperature conditions and uniform
wear time durations (expeditionary, 33 h continuous wear; garrison, 3 days, 8
h/day wear) on permethrin exposure, assessed by urinary permethrin biomarkers,
from wearing post-tailored, factory-treated military uniforms. Four group study
sessions took place over separate 11-day periods, involving 33 male Soldiers.
Group 1 (<italic>n</italic> = 10) and Group 2 (<italic>n</italic> = 8)
participants wore a study-issued permethrin-treated Army uniform under high heat
environment (35 &#x000b0;C, 40% relative humidity (rh)) and expeditionary and
garrison wear-time conditions, respectively. For comparison, Group 3
(<italic>n</italic> = 7) and Group 4 (<italic>n</italic> = 8) participants
wore study-issued permethrin-treated uniforms in cooler ambient conditions under
operational and garrison wear-time conditions, respectively. Urinary biomarkers
of permethrin (3-phenoxybenzoic acid, and the sum of <italic>cis</italic>- and
<italic>trans</italic>-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane-1-carboxylic
acid) were significantly higher under high temperature compared to ambient
conditions, regardless of wear-time situations (Group 1 vs. Group 3; Group 2 vs.
Group 4; <italic>p</italic> &#x0003c; 0.001, for both). Under high-temperature
conditions, expeditionary (continuous) compared to garrison wear-time resulted
in significantly (<italic>p</italic> &#x0003c; 0.001) higher urinary biomarker
concentrations (Group 1 vs. Group 2). Differences related to wear-time under the
ambient conditions (Group 3 vs. Group 4) were not statistically significant.
Findings suggest that wearing permethrin-treated clothing in heat conditions
results in higher internal dose of permethrin above that observed under ambient
conditions.</p></abstract><kwd-group><kwd>Permethrin</kwd><kwd>Urinary biomarkers</kwd><kwd>Absorbed dose</kwd><kwd>Heat</kwd><kwd>Military</kwd><kwd>Pesticides</kwd></kwd-group></article-meta></front><body><sec id="S1"><title>Introduction</title><p id="P2">Use of permethrin
<italic>((</italic>+<italic>/</italic>&#x02212;<italic>)-3-phenoxybenzyl-3-(2,2-dicholorovinyl)-2,2-dimethylcyclopropanecarboxylate)</italic>
by U.S. military personnel has been required historically when on duty or deployed
to environments with biting insects for protection from the annoyance and pain of
mosquito, sand fly, tick, and/or chigger bites and to protect from vector-borne
diseases, such as malaria, leishmaniasis, and Lyme disease [<xref rid="R1" ref-type="bibr">1</xref>, <xref rid="R2" ref-type="bibr">2</xref>]. Moreover, in
a policy change effective in 2013, uniforms worn by all non-deployed Active Duty
Army personnel were replaced with post-tailoring, factory-treated permethrin
uniforms. Therefore, currently, all U.S. Army personnel (&#x0003e;470,000 persons
annually) [<xref rid="R3" ref-type="bibr">3</xref>] regardless of deployment status,
military job or location, wear permethrin-treated uniforms. Each military service
requires permethrin-treated clothing to meet U.S. Environmental Protection Agency
(EPA) and Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) standards,
along with their own service permethrin-treated fabric levels and efficacy (% bite)
protection requirements. For example, U.S. Army requires all new, unwashed uniform
permethrin concentrations to be within a minimum of 0.095 mg/cm<sup>2</sup> and
maximum of 0.135 mg/cm<sup>2</sup>. This treatment provides 99&#x02013;100% bite
protection out to 50 launderings (which is considered the life of the Army uniform).
Although the EPA label on the uniforms reads 25 launderings, the US Army has strict
requirements for permethrin treatment out to 50 launderings and testing is completed
to ensure that those requirements are met (personal communication, Natick Textile
Materials Evaluation Team).</p><p id="P3">Wear of permethrin-treated clothing is not limited to just military
personnel, as permethrin-treated outdoor camping and sportswear gear have been
manufactured and sold commercially for wear by the general public [<xref rid="R4" ref-type="bibr">4</xref>]. As such, there are more opportunities for the general
population to be exposed to permethrin through dermal routes from direct
clothing-to-skin contact, as well as through oral routes, due to ingestion from
dietary sources [<xref rid="R5" ref-type="bibr">5</xref>], and likely hand-to-mouth
transmission, through eating and smoking following hand contact with treated
clothing. While the exact reason is not delineated, the concentration of permethrin
biomarkers in U.S. national monitoring studies has demonstrated increases [<xref rid="R6" ref-type="bibr">6</xref>, <xref rid="R7" ref-type="bibr">7</xref>]
since the early 2000s.</p><p id="P4">Several studies have reported data on general population background
permethrin exposure, as measured by concentration of urinary permethrin biomarkers,
namely 3-phenoxybenzoic acid (3-PBA),
<italic>cis</italic>-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane-1-carboxylic
acid (<italic>cis-</italic>DCCA), and
<italic>trans</italic>-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane-1-carboxylic
acid (<italic>trans-</italic>DCCA) [<xref rid="R6" ref-type="bibr">6</xref>&#x02013;<xref rid="R10" ref-type="bibr">10</xref>]. Additional studies
have examined biomarker concentrations in military populations wearing
permethrin-treated uniforms, including investigations of the effects of factors,
such as clothing usage (i.e., number of washings and length of wear), environmental
temperature conditions, and physical activity factors [<xref rid="R11" ref-type="bibr">11</xref>&#x02013;<xref rid="R15" ref-type="bibr">15</xref>].
Biomarker concentrations in studies involving wear of treated clothing have been
reported as 100&#x02013;200 times higher than U.S. general population reference range
concentrations [<xref rid="R7" ref-type="bibr">7</xref>, <xref rid="R16" ref-type="bibr">16</xref>]. However, on average, daily estimated doses
calculated from biomarker concentrations are 4&#x02013;5 times lower [<xref rid="R11" ref-type="bibr">11</xref>, <xref rid="R13" ref-type="bibr">13</xref>, <xref rid="R14" ref-type="bibr">14</xref>, <xref rid="R17" ref-type="bibr">17</xref>]
than the WHO acceptable daily intake (ADI; 50 &#x003bc;g/kg/day) [<xref rid="R18" ref-type="bibr">18</xref>] for oral ingestion assuming 50% absorption of oral
dose.</p><p id="P5">There are limited reports of acute human health impacts related to the
increased number of persons wearing permethrin-treated clothing [<xref rid="R11" ref-type="bibr">11</xref>, <xref rid="R19" ref-type="bibr">19</xref>],
presumably because of permethrin&#x02019;s low mammalian toxicity [<xref rid="R20" ref-type="bibr">20</xref>]. However, permethrin has been classified by the EPA
as a potential carcinogen because there is limited evidence to suggest permethrin
may cause cancer in animals [<xref rid="R21" ref-type="bibr">21</xref>, <xref rid="R22" ref-type="bibr">22</xref>]. Also, permethrin is a neurotoxicant [<xref rid="R23" ref-type="bibr">23</xref>] based on its mechanism of action. As such,
examination of potential health symptoms would contribute additional knowledge to
the risk assessment and medical literature.</p><p id="P6">Determination of the significant factors that influence permethrin exposure
is critical to enable accurate interpretation and prediction of potential human
health impacts. In this study, the primary research objective is to examine whether
operating in high-temperature environments compared to ambient conditions when
wearing permethrin-treated clothing was associated with higher urinary
concentrations of permethrin biomarkers (3-PBA, <italic>cis</italic>-DCCA,
<italic>trans</italic>-DCCA). U.S. Army personnel are regularly exposed to high
heat conditions [<xref rid="R24" ref-type="bibr">24</xref>]. Increased heat stress
in humans produce consequent changes in metabolic rates and thermoregulatory
mechanisms [<xref rid="R25" ref-type="bibr">25</xref>], as well as sweat rates, all
of which may impact the toxicology of environmental exposures and have a direct
impact on dermal absorption. Therefore, we hypothesize that high-temperature
conditions affect the dermal absorption of permethrin and result in higher urinary
permethrin metabolite concentrations. In addition, we predict that expeditionary
(continuous) vs. garrison wear-time conditions result in significantly higher
permethrin exposure under high heat conditions. We also explored whether permethrin
exposure was associated with significant health symptoms or neurocognitive
performance effects.</p></sec><sec id="S2"><title>Method and procedures</title><p id="P7">The protocol was reviewed and approved by the US Army Research Institute of
Environmental Medicine Institutional Review Board (USARIEM IRB) and the US Army
Medical Research and Materiel Command IRB. The involvement of the Centers for
Disease Control and Prevention (CDC) laboratory did not constitute engagement in
human subjects research. The investigators adhered to the policies for protection of
human subjects as prescribed in Army Regulation 70&#x02013;25 and the research was
conducted in adherence with the provisions of 32 CFR Part 219. All participants gave
their informed consent prior to the research study.</p><sec id="S3"><title>Study design</title><p id="P8">Thirty-three participants were recruited from a pool of Soldier Human
Research Volunteers at Natick Soldier Systems Center (NSSC), Natick, MA and all
participant volunteers were male. Females were not excluded from the study,
however, no females volunteered to participate. Persons having a history of heat
intolerance (heat exhaustion or heat stroke) or currently taking any medications
that might affect heat/exercise tolerance (such as antihistamines or blood
pressure medication) were excluded from participation. Soldier participants
volunteered to participate in one of four groups (<xref rid="F1" ref-type="fig">Fig. 1</xref>) which, by design, permitted examination of the two primary
study objectives: (i) whether there are differences in permethrin exposure under
different wear-time durations (expeditionary: 33 h continuous wear vs. garrison:
3 consecutive day, 8 h/day wear) in high-temperature conditions and (ii) whether
wearing permethrin-treated uniforms in high temperature compared to ambient
temperatures, under the same wear-time conditions, resulted in higher permethrin
exposure as measured through urinary permethrin biomarkers. We determined the a
priori sample size determination based on results observed in an earlier study
[<xref rid="R13" ref-type="bibr">13</xref>]. Group sizes between
<italic>n</italic> = 8&#x02013;11 were determined to be sufficient to test
the study hypotheses with at least 80% power of showing associations at the
two-tailed <italic>p</italic> &#x0003c; 0.05 level.</p><p id="P9">Different Group sessions were conducted randomly over the study time
frame. So, different groups of Soldiers had the potential to participate in a
particular Study session condition. There was no random assignment of
participants to a particular session.</p><p id="P10">Each Group was tested separately between February 2014 and December
2016, however, no Groups were tested during any of the summer months
(June&#x02013;September) to minimize any uncontrolled high ambient outside
temperature conditions between the study groups. Other than the
permethrin-treated uniform, no other pesticide use was permitted during the
study period. Group 1 participants (<italic>n</italic> = 10) wore a study issued
permethrin-treated Army Combat Uniform for 33 h consecutively in a high heat
environment (35 &#x000b0;C, 40% relative humidity (rh)). Participants in Group 2
(<italic>n</italic> = 8) wore a study issued permethrin-treated uniform for
8 h/day, over 3 consecutive days in high heat conditions (35 &#x000b0;C, 40% rh).
The specific high heat conditions were selected as comparable to summer month
conditions observed in the mid-Atlantic region of the U.S. For comparison,
participants in Group 3 (<italic>n</italic> = 7) wore a study issued
permethrin-treated uniform for 33 h consecutively during periods when the
average outdoor conditions were 3 &#x000b0;C, 80% rh, and participants in Group 4
(<italic>n</italic> = 8) wore a study issued permethrin-treated uniform for
8-h/day over 3 days when the outdoor conditions averaged 13 &#x000b0;C, 60%
rh.</p><p id="P11">Each group completed an 11-day study session, where study activities
were scheduled on nine of the 11 days (<xref rid="F1" ref-type="fig">Fig.
1</xref>). On Day 1, participants completed a baseline questionnaire,
battery of neurocognitive tests, and a set of anthropometric measurements
(details below). No study activities took place on Day 2 or Day 10.</p><p id="P12">On the evening of Day 3, participants reported to the NSSC Doriot
Climatic Chambers [<xref rid="R26" ref-type="bibr">26</xref>] to sleep overnight
in the building dormitory, supervised by study staff. For all study groups,
study-issued uniforms were worn beginning the morning of Day 4 (Groups 1 and 3
wore the study-issued uniforms for 33 h continuously until 1600 on Day 5, while
Groups 2 and 4 wore the study-issued uniforms for 3 consecutive days, 8 h/day on
Day 4&#x02013;6 between approximately 0800 and 1600 (<xref rid="F1" ref-type="fig">Fig. 1</xref>)). All study-issued uniforms had been washed
once before wearing. (See further description of study uniforms below.)</p><p id="P13">For Groups 1 and 2, the high heat environmental conditions were set at
35 &#x000b0;C with 40% rh within the Tropical Chamber (60&#x02032; &#x000d7;
15&#x02032; = 900 ft<sup>2</sup>) of the NSSC Doriot Climatic Chambers building.
Group 1 participants were in the chamber from ~0730 on Day 4 until 1600
on Day 5. Group 2 participants were in the chamber from ~0730 to 1600 on
Days 4, 5 and 6. During the prescribed time in the high heat conditions,
participants were only allowed to leave the chamber for bathroom breaks; all
meals and water were brought to the study participants in the chambers. Per
human use and safety requirements, heart rate and core temperature were
monitored and recorded every 30 min while participants were in the chambers. In
an effort to standardize physical activity between groups, supervised 1-h ruck
marches/walks were conducted at a slow speed (2 mph, with no treadmill incline)
while wearing a 50&#x02013;55 lb load. Group 1 completed a ruck march in the
chamber at 1000 and 1400 on Days 4 and 5; Group 2 completed the ruck march at
1000 and 1400 on Days 4 and 5 and at 1000 on Day 6.</p><p id="P14">Bunkbeds were available in the chamber for Group 1 for sleeping during
their 33 h wear-time period. Overnight conditions were set at 30 &#x000b0;C with
50% rh to simulate cooler conditions that naturally occur at night. During the
study period when participants wore study-issued uniforms, Groups 2, 3, and 4
participants slept overnight in the building dormitory under ambient conditions.
Participants wearing the study issued uniforms under the ambient conditions
(Groups 3 and 4) performed their regular Soldier daily activities at NSSC during
Days 4&#x02013;6. For consistency between all study groups, participants were not
permitted to shower from the start of Day 4 through ~1600 on Day 6,
however, for personal hygiene, participants were permitted to wash their hands,
feet, and faces during this time.</p><p id="P15">On Days 7&#x02013;11 of the study sessions, participants wore their own
personal permethrin-treated uniforms during required time periods. The age of
these personal uniforms and number of times they had been washed was collected
through daily survey questions. On the weekend (Days 2, 3, 9, and 10),
participants wore non-permethrin-treated civilian clothing. All participants
were provided logbooks to record the time of each urine collection, along with
times of other non-study urine voids, smoking breaks, eating, physical exercise,
showers, and medication use.</p><sec id="S4"><title>Anthropometric measurements and activity levels</title><p id="P16">Height (cm) (Day 1 only) and weight (kg) (Day 1 and 7) were measured
and used to calculate body mass index (BMI) according to CDC guidance [<xref rid="R27" ref-type="bibr">27</xref>]. To determine percent body fat,
skinfold measurements were taken in duplicate at three locations on the body
(chest, abdomen, and thigh) using a Harpenden skinfold caliper [<xref rid="R28" ref-type="bibr">28</xref>]. Physical activity levels were
monitored (Days 4&#x02013;6), by having participants wear an activity monitor
(Philips brand-Actical) [<xref rid="R29" ref-type="bibr">29</xref>] on the
right leg at the ankle or above their boots. These monitors recorded data on
the participant&#x02019;s movement and computed the estimated energy
expenditure (kcals, in 1 min intervals). Raw data from the devices were used
to calculate individual-level average daily activity levels (kcals) during
the time when study-issued uniforms were worn to provide assessment of
energy expenditure or workload.</p></sec><sec id="S5"><title>Baseline and daily surveys</title><p id="P17">A self-administered questionnaire was given to participants on their
initial day (Day 1) in which participants were asked about current age,
prior occupational and hobby exposure history (including personal use of
pesticides), educational history, and about their alcohol and caffeine
consumption, smoking habits, and physical job demands. For analytical
purposes, a current smoker was categorized inclusively as smoking
traditional cigarettes, e-cigarettes, and/or using chewing tobacco.</p><p id="P18">Functional health and current health symptoms were assessed,
respectively, with the Veterans RAND 12-item Health Survey (VR-12) [<xref rid="R30" ref-type="bibr">30</xref>] and with a 25-item health symptom
checklist adapted from prior studies with Gulf War veterans [<xref rid="R31" ref-type="bibr">31</xref>] and used in prior military environmental
exposure studies [<xref rid="R32" ref-type="bibr">32</xref>]. The VR-12
queries for self-appraisal of somatic (&#x0201c;physical&#x0201d;) health and
emotional (&#x0201c;mental&#x0201d;) impact on day-to-day functioning (e.g.,
accomplishing less than usual). Functional health is computed through the
physical and mental component summary (PCS, MCS, respectively) scores; PCS
and MCS scores are standardized to U.S. population norms (mean = 50, SD =
10). The Medical Outcomes Study (MOS) cognitive functioning scale assesses
the functional impacts of thinking and attention on day-to-day functioning
[<xref rid="R33" ref-type="bibr">33</xref>]. Higher VR-12 and MOS
cognitive functioning scores indicate better functioning. The frequency of
individual health symptoms reports were assessed on Day 1 and Day 7, and
changes over the study period were examined.</p></sec><sec id="S6"><title>Neurocognitive assessment</title><p id="P19">The battery of neurocognitive function tests was administered two
times over the study period (morning of Day 1 and Day 7). The test battery
included the Automated Neuropsychological Assessment Metrics (ANAM) Military
Battery administered on a laptop computer, as well as the Grooved Pegboard
test, which examines fine motor skills [<xref rid="R34" ref-type="bibr">34</xref>]. The ANAM Military Battery is a computer-based battery of
tests designed to measure cognitive performance across several functional
domains, including executive functioning, attention, memory, response time,
and information processing speed. Previous studies have documented the
psychometric properties of the Grooved Pegboard test [<xref rid="R35" ref-type="bibr">35</xref>] and of the ANAM tests, with normative data
for military personnel provided for the latter [<xref rid="R36" ref-type="bibr">36</xref>&#x02013;<xref rid="R40" ref-type="bibr">40</xref>].</p></sec></sec><sec id="S7"><title>Uniforms</title><p id="P20">Army uniforms are factory-treated using a polymer-coating method to
apply permethrin (cis/trans ratio 35:65) to the blouse and trousers of the
uniform. Study-issued permethrin-treated uniforms (blouse and trousers) were
newly purchased for the purpose of the study through online Army supply sites or
at local installation exchange stores. Cut-out section from uniform sets were
analyzed for permethrin content by the Natick Textile Materials Evaluation Team,
per Army Combat Uniform purchase descriptions (personal communication), after
laundering once to provide an estimate of the range of permethrin levels: blouse
values ranged between 0.073 and 0.096 mg/cm<sup>2</sup> (average = 0.080
mg/cm<sup>2</sup>) and trousers ranged between 0.064 and 0.093
mg/cm<sup>2</sup> (average = 0.082 mg/cm<sup>2</sup>). These levels are
~20&#x02013;60% lower than concentrations reported in new, unlaundered
Army treated uniforms and about 33% lower than levels measured in the Marine
Corps Combat Utility Uniforms (MCCUUs) that had been washed once and utilized in
a prior study [<xref rid="R13" ref-type="bibr">13</xref>]. Study-issued uniform
sets from each Group were also analyzed for permethrin content following the
respective study sessions.</p></sec><sec id="S8"><title>Biological samples</title><p id="P21">During each 11-day study period, 21 urine samples were collected from
each of the participants at scheduled time points (<xref rid="F1" ref-type="fig">Fig. 1</xref>). On Day 1 of the study, before the collection of any
samples, participants were given instructions on how to properly collect the
urine to minimize contamination of the sample. All samples received at
~0600 were the first morning void. Participants provided urine samples at
the Doriot Climatic Chambers building with the exception of the evening (1900)
and morning (0600) samples collected on Days 7&#x02013;11. For these latter
samples, participants were given pre-labeled specimen cups and cooler bags
containing ice packs to keep samples cold until they were turned in to study
staff at the next study visit.</p></sec><sec id="S9"><title>Laboratory analyses</title><p id="P22">Each urine sample was tested for creatinine (mg/dL), specific gravity,
and osmolality at the Central Laboratory at USARIEM. Five milliliters of
aliquots were frozen and sent in batches to the CDC for the quantification of
permethrin metabolites: 3-PBA, <italic>cis</italic>-DCCA, and
<italic>trans</italic>-DCCA. Permethrin biomarkers were measured via
semi-automated solid phase extraction followed by high-performance liquid
chromatography-isotope dilution tandem mass spectrometry using a method
described in Davis et al. [<xref rid="R41" ref-type="bibr">41</xref>]. Limits of
detection (LOD) across all batches were 0.1 &#x003bc;g/L (3-PBA) and 0.6
&#x003bc;g/L (<italic>trans</italic>-DCCA); for <italic>cis</italic>-DCCA, LODs
were 0.6 &#x003bc;g/L (Groups 1 and 2) and 0.5 &#x003bc;g/L (Groups 3 and 4).</p></sec><sec id="S10"><title>Statistical analyses</title><p id="P23">For descriptive comparisons across Groups at analyses of variance
(ANOVA) with the Tukey correction to compare differences between Groups were
performed. To evaluate whether there was change between Day 1 and Day 7
neurocognitive performances, paired <italic>t</italic>-tests were performed;
Fisher&#x02019;s exact test was run to examine health symptom reporting
differences between Day 1 and Day 7.</p><p id="P24">Biomarker concentrations below the LOD were replaced with a value of
LOD/&#x0221a;2 [<xref rid="R42" ref-type="bibr">42</xref>]. In addition to
examining the <italic>cis-</italic>DCCA and <italic>trans-</italic>DCCA
concentrations separately, <italic>cis-</italic>DCCA and
<italic>trans-</italic>DCCA concentrations were summed to yield a total DCCA
concentration (&#x003a3;DCCA). Samples with creatinine concentrations &#x0003c; 20
mg/dL (2.6% of samples or <italic>n</italic> = 18: Group 1, <italic>n</italic> =
3; Group 2, <italic>n</italic> = 4; Group 3, <italic>n</italic> = 2; Group 4,
<italic>n</italic> = 9) or &#x0003e;350 mg/dL (3.9% of samples or
<italic>n</italic> = 27: Group 1, <italic>n</italic> = 11, Group 2,
<italic>n</italic> = 5; Group 3, <italic>n</italic> = 4, Group 4,
<italic>n</italic> = 7) were excluded from the analyses because samples were
either too dilute or too concentrated. Biomarker concentrations were adjusted
for creatinine (&#x003bc;g/g creatinine) for the graphical presentation over the
course of the study sessions.</p><p id="P25">To examine the study main hypotheses, biomarker concentrations from five
urine samples collected before, during, and after wearing the study-issued
uniform were used in repeated measures linear mixed models (LMMs) (Groups 1 and
3: U7, U8, U11, U12, U14; Groups 2 and 4: U7, U8, U15, U16, U17) (<xref rid="F1" ref-type="fig">Fig. 1</xref>), similar to the approach in our earlier study
[<xref rid="R13" ref-type="bibr">13</xref>]. Samples U7 and U8 were
collected within the first 12-h and 24-h of wearing the study uniform,
respectively, while Groups 1 and 2 were in the high heat and Groups 3 and 4 were
in ambient conditions. Sample U11 in Groups 1 and 3 and U15 in Groups 2 and 4
was the first sample collected after removing the study-issued uniform
(~1900) following completion of their respective wear-time conditions.
For Groups 1 and 2, U11 and U15, respectively, were also the first sample
collected after exiting the chamber and the high heat conditions. Samples U12
and U14 in Groups 1 and 3 and samples U16 and U17 in Groups 2 and 4 were
collected within 12 and 24 h after removing the study-issued uniform,
respectively.</p><p id="P26">Repeated measures LLMs account for both the within individual
correlation and the between group covariance in order to produce robust
estimates of the mean responses to the different group conditions over time. In
this study, LMMs were used to determine differences in biomarker concentrations
based on environmental conditions (high heat, 35 &#x000b0;C, 40% rh vs. ambient
conditions, average 13 &#x000b0;C, 60% rh) and wear-time conditions (33 h
continuous vs. 3 days, 8 h/day wear-times).</p><p id="P27">To examine the effects of high heat compared to ambient conditions,
study groups that wore the study-issued uniform under the same wear-time
conditions but in different environmental conditions were compared: 33 h
continuous wear, Groups 1 and 3 (Model 1), and 3 consecutive days, 8 h/day,
Groups 2 and 4 (Model 2). To examine the effect of wear-time in the heat,
biomarker concentrations in the study groups that experienced the same simulated
environmental conditions were compared: heat Groups 1 and 2 (Model 3), and
ambient condition Groups 3 and 4 (Model 4). Each model comparison scenario was
run for log-transformed unadjusted 3-PBA, <italic>cis</italic>-DCCA,
<italic>trans</italic>-DCCA, and &#x003a3;DCCA.</p><p id="P28">The models were fit using an unstructured covariance matrix assumption.
Parameter estimates were obtained using maximum-likelihood estimation to provide
relative comparison of effects. Since the outcome variables were log
transformed, exponentiated beta coefficients estimated the change associated
with the predictors in the model. The main effect of &#x02018;Group&#x02019; on
biomarker concentration was adjusted for creatinine (mg/dL) and % body fat.
Model 4 was also adjusted for dichotomized use of cigarettes, e-cigarettes, and
chewing tobacco (0 = no, 1 = yes). Smoking and/or chewing tobacco was not
included as a covariate in the other models because participants were not
allowed to smoke or use other tobacco products while in the simulated heat
(Groups 1 and 2). LMM analyses were performed using SAS 9.3/9.4 (SAS, Carey,
NC).</p><p id="P29">Daily dose estimates (&#x003bc;g/kg/day) for permethrin were calculated
for each participant using a method outlined in Appel et al. [<xref rid="R11" ref-type="bibr">11</xref>] from <italic>cis</italic>-DCCA and
<italic>trans-</italic>DCCA concentrations. For computation of the highest
estimate of permethrin dose during the 11-day study, we used peak excretion
concentrations which are generally measured 12-h after removing the study
uniform [<xref rid="R13" ref-type="bibr">13</xref>]. For these comparisons,
first, an estimate of daily creatinine excretion was calculated for each
participant based on their Day 1 weight, age, and race using an equation
outlined by Ix and colleagues [<xref rid="R43" ref-type="bibr">43</xref>]
estimated creatinine excretion rate (g/day) = 879.89 +12.51*weight (kg) &#x02212;
6.19*age (years) + (34.51 if black) &#x02212; (379.42 if female). Next,
creatinine adjusted &#x003a3;DCCA was multiplied by estimated daily creatinine
excretion. The daily metabolite dose (&#x003bc;g/day) was converted using a
parent compound to metabolite molar mass ratio (391/209 = 1.87) to estimate
daily permethrin dose (&#x003bc;g/day). Finally, daily permethrin dose was
divided by each participant&#x02019;s body weight (kg) to compute daily dose
estimates (&#x003bc;g/kg/day). Daily dose estimates were averaged by Group to
determine differences in permethrin exposure by study condition.</p></sec></sec><sec id="S11"><title>Results</title><p id="P30">Across the four study Groups, ages ranged between 18 and 27 years; all 33
participants were male (<xref rid="T1" ref-type="table">Table 1</xref>). The
majority (72%, 23/33) of the Army Soldier participants were in combat arms/infantry
occupational specialties (Group 1: 100%; Group 2: 12.5%; Group 3: 57.1%; Group 4:
100%); other occupational specialties included mechanics and repairmen. There were
no significant differences in age, years of education, rank, race/ethnicity, height,
weight, BMI, % body fat, smoking status, current caffeine or alcohol use, or
previous use of pesticides among groups. Differences in months of Army service were
noted between groups (<italic>F</italic> = 6.81, df = 3, <italic>p</italic> =
0.001). No one reported taking prescription medications immediately prior to or
during the study period. There were no significant differences in permethrin
metabolite concentrations between Groups on the morning of Day 4, just before they
put on the study issued uniforms.</p><p id="P31">There were no significant difference between Groups at Day 1 in terms of
reported physical or mental health status or performance on neurocognitive tests
(<xref rid="T2" ref-type="table">Table 2</xref>). Reported health symptoms were
minimal with 2 or fewer participants in each group reporting any of the 25 symptoms
at a rate greater than &#x02018;sometimes&#x02019; or once/week. Symptoms reported
included headaches, muscle aches, flu, physical fatigue, and itching of skin. On Day
7, three participants from Group 4 reported &#x02018;difficulty paying attention
because of some experience at work&#x02019;, which was statistically significant
relative to the other Groups (Fisher&#x02019;s exact test, <italic>p</italic> =
0.013). No significant differences in health symptom reporting were noted between
Day 1 and Day 7. Cognitive performance did not change in Groups 2, 3, and 4 between
Days 1 and 7. There was a significant decrease in time (faster) to complete the
Grooved Pegboard with the dominant hand between Day 1 (mean (SD) 71.0 s (11.0)) and
Day 7 (64.7 s (5.6)) (paired <italic>t</italic>-test, <italic>p</italic> =
0.017).</p><p id="P32">The mean (SD) activity levels in kcals measured while wearing the
study-issued uniform were: Group 1 = 2077.6 (388.8), Group 2 = 2544.0 (505.5), Group
3 = 1422.9 (228.8), Group 4 = 2135.4 (732.6). Activity levels differed by Group
(<italic>F</italic> = 6.38, df = 3, <italic>p</italic> = 0.002) with significant
differences between Group 2 and Group 3 (<italic>p</italic> = 0.001) and Group 3 and
Group 4 (<italic>p</italic> = 0.046). On Days 5 and 6, when participants were not
wearing the study-issued uniforms, 50% of Group 1, 100% of Group 2, 71% of Group 3,
and 100% of Group 4 reported wearing their personal uniforms during the workday;
otherwise, they wore civilian or work-out clothing. Their personal uniforms were all
of comparable age as they received them at the start of service and all participants
reported having 6&#x02013;9 months of Army service.</p><p id="P33">In a subset of study-issued uniforms measured for permethrin levels after
the heat sessions, levels were0.069&#x02013;0.082 mg/cm<sup>2</sup> (average = 0.076
mg/cm<sup>2</sup>) for blouses and 0.062&#x02013;0.092 mg/cm<sup>2</sup> (average
= 0.080 mg/cm<sup>2</sup>) for trousers, and following non-heat sessions were
0.072&#x02013;0.12 mg/cm<sup>2</sup> (average = 0.090 mg/cm<sup>2</sup>) for blouses,
and 0.081&#x02013;0.092 mg/cm<sup>2</sup> (average = 0.087 mg/cm<sup>2</sup>) for
trousers. There were subtle differences in permethrin concentrations in the uniform
after the study sessions, but the differences did not reach the same magnitude as
the onetime wash before the start of the study.</p><p id="P34">Permethrin biomarkers were detected in most samples across all Groups
(98.7&#x02013;100% [3-PBA]; 95.2&#x02013;99.5% [<italic>cis</italic>-DCCA];
98.6&#x02013;100% [<italic>trans</italic>-DCCA]). For each Group, permethrin
biomarker concentrations over the study sessions are presented graphically in <xref rid="F2" ref-type="fig">Fig. 2a</xref>&#x02013;<xref rid="F2" ref-type="fig">c</xref>. Biomarker concentrations are lowest at U4 and U21, which are Monday
mornings (Day 4 and 11) after a weekend of not wearing any permethrin-treated
uniforms. In general, after Days 4&#x02013;5 (Groups 1 and 3) or Days 4&#x02013;6
(Groups 2 and 4), following the wearing of the study-issued permethrin uniforms,
biomarker concentrations begin to gradually decrease. The relatively high
concentration of the three permethrin metabolites measured in Group 4 on the morning
of Day 6 (U12) was not expected and did not fit the pattern observed. Based on
review of the individual log books from the study, there were no obvious
explanations. However, participants did go straight to the dining hall following
removal of the study uniform and it is possible that not washing their hands before
eating may have contributed to the results.</p><p id="P35">The results of the linear mixed effects models are summarized in <xref rid="T3" ref-type="table">Table 3</xref>. Under both expeditionary and garrison
wear conditions, significantly higher biomarker concentrations were found in the
Groups under high heat conditions compared to those exposed to ambient conditions:
concentrations were 3.6 times higher for 3-PBA and 1.7 times higher for &#x003a3;DCCA
in Model 1 (comparing Group 1 and Group 3) and were 1.9 times higher for 3-PBA and
1.6 times higher for &#x003a3;DCCA in Model 2, (comparing Group 2 and Group 4). In
high heat conditions, expeditionary compared to garrison wear-times resulted in
significantly higher permethrin biomarker concentrations. Concentrations were 1.6
times higher for 3-PBA and 1.3 times higher for &#x003a3;DCCA in Model 3 (comparing
Groups 1 and 3). Also, % body fat was independently and significantly associated
with higher permethrin biomarker concentrations. There were no significant
differences between expeditionary compared to garrison wear-time in ambient
conditions (Model 4, comparing Groups 3 and 4). (Similar findings were observed when
examining <italic>cis-</italic>DCCA and <italic>trans-</italic>DCCA separately (see
<xref rid="SD1" ref-type="supplementary-material">Supplement Table
1</xref>).)</p><p id="P36">The daily dose estimates (<xref rid="T4" ref-type="table">Table 4</xref>)
significantly differed by Group (<italic>F</italic> = 8.79, df = 3,
<italic>p</italic> &#x0003c; 0.001), with average dose significantly higher for
Group 1 compared to Group 2 (<italic>p</italic> =0.005), Group 3 (<italic>p</italic>
= 0.003), and Group 4 (<italic>p</italic> &#x0003c; 0.001). There were no significant
differences between any other Group comparisons (Groups 2 and 3, Groups 2 and 4, and
Groups 3 and 4).</p><p id="P37">Compared to the U.S. general population from the 2009 to 2010 National
Health and Nutrition Examination Survey (NHANES) [<xref rid="R6" ref-type="bibr">6</xref>], permethrin biomarker concentrations in this study sample were orders
of magnitude higher among Soldiers wearing permethrin-treated clothing (<xref rid="SD1" ref-type="supplementary-material">Supplement Table 2</xref>).</p></sec><sec id="S12"><title>Discussion</title><p id="P38">High heat conditions significantly affect permethrin exposure through the
wearing of permethrin-treated clothing, resulting in 60&#x02013;360% higher urinary
biomarker concentrations and significantly higher estimated daily doses compared to
ambient conditions. In addition, exposure to high temperatures under expeditionary
compared to garrison-type conditions resulted in significantly higher concentrations
of permethrin urinary biomarkers. These results support previous research findings
that continuous wear-time durations affect human permethrin exposure [<xref rid="R13" ref-type="bibr">13</xref>]. However, in contrast to earlier findings,
no significant wear-time differences were noted under ambient conditions.</p><p id="P39">It is important to note that the degree of increase related to wear-time
conditions is not directly comparable between this study and our earlier study, as
the permethrin content of the uniforms was higher at the start of the prior study
[<xref rid="R13" ref-type="bibr">13</xref>] compared to this study. Also, in our
previous study, Soldiers were not regularly wearing permethrin-treated clothing as
that study was conducted before the 2013 Army policy change and the baseline
concentrations at the start of that study were lower (all &#x0003c;5 &#x003bc;g/g
creatinine with the majority of samples with non-detectable concentrations) compared
to the baseline concentrations in this study (8&#x02013;12 &#x003bc;g/g creatinine).
Relatedly, it is suspected that higher baseline concentrations may partially explain
why no significant differences in biomarker concentrations were observed when
comparing wear-time conditions within the ambient setting (Model 4).</p><p id="P40">Study findings support those of Rossbach and colleagues [<xref rid="R17" ref-type="bibr">17</xref>] who reported significantly increased urine biomarker
concentrations within a group of male volunteers wearing permethrin-treated clothing
(designed for forestry workers) under simulated high-temperature conditions around
27 &#x000b0;C, 60% rh. However, it is difficult to directly compare biomarker
concentrations due to methodological differences across studies. Specifically, in
the Rossbach study, temperature conditions were not similar, clothing were worn only
over an 8 h period, and results were not presented as creatinine-adjusted. Despite
these differences, Rossbach and colleagues reported estimated daily permethrin dose
levels of about 5 &#x003bc;g/kg/day, which were comparable to the mean Group 2 levels
in this study.</p><p id="P41">No evidence of acute health impacts in terms of health symptom reporting or
cognitive performance was observed. While there is a lack of occupational limit
values, such as NIOSH or American Conference of Governmental Industrial Hygenists
(ACGIH) exposure regulations, no estimated dose reached levels above the ADI; they
ranged 7&#x02013;15 times lower than the 50 &#x003bc;g/kg/day ADI for oral ingestion
(and 2&#x02013;8 times lower than 25 &#x003bc;g/kg/day, the acceptable level assuming
50% absorption of oral dose). Whether there are longer-term health effects related
to routine wear of permethrin-treated clothing remains an unknown and could not be
evaluated in the present investigation as it fell outside the scope of the project.
Further research is warranted given the potential for increased use of permethrin
treated clothing in both military and civilian settings.</p><p id="P42">The strength of this study is that the four Groups were clearly comparable
across a number of factors and only differed by environmental and wear-time
conditions. This allowed direct analysis of the hypotheses of interest with minimal
bias (confounding) or effect modification by other factors. Also, conducting of the
study within the unique climatic chamber setting permitted standardized temperature
conditions for Groups 1 and 2. Within this controlled design, it is unlikely that
there were other major sources of exposure to permethrin that would have resulted in
the high concentrations (such as, through particular foods or particular military
activities).</p><p id="P43">One limitation of the study is the inability to generalize the findings
directly to the general public or recreational users as daily, long-term wear of
permethrin-treated clothing is typically limited to military personnel. Also, the
study only included young, physically active males, with 6&#x02013;9 months of Army
service so it was not possible to address potential sex or age-based differences or
longer range of durations wearing permethrin-treated clothing.</p><p id="P44">As variability in the range of estimated daily doses was observed across
individuals even within Groups, further study is encouraged to address additional
personal factors that may impact dose, such as genetic profiles and co-exposures
with other chemicals (e.g., DEET, jet fuel (JP8)) [<xref rid="R44" ref-type="bibr">44</xref>, <xref rid="R45" ref-type="bibr">45</xref>] or common medications
(e.g., cytochrome p450 enzyme inhibitors [<xref rid="R7" ref-type="bibr">7</xref>]).
In conclusion, findings suggest that wearing permethrin-treated clothing in heat
conditions results in a higher internal dose of permethrin above that observed under
ambient conditions and confirm previous research emphasizing the role of wear-time
duration on exposure. Additional environmental factors, such as humidity, solar
load, and precipitation, may also play a role, especially in extended-wear,
occupational settings.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>Supporting Info</label><media xlink:href="NIHMS1677778-supplement-Supporting_Info.docx" orientation="portrait" id="d40e765" position="anchor"/></supplementary-material></sec></body><back><ack id="S14"><title>Acknowledgements</title><p id="P46">We acknowledge the contribution of additional USARIEM study team members who
assisted in the data collection for this project and the laboratory technicians at
the USARIEM Central Laboratory who performed sample analyses of creatinine. We also
greatly appreciate the experience and input from Melynda Perry and Amy Johnson
(Natick Textile Materials Evaluation Team, Natick Soldier Research, Development and
Engineering Center, Natick, MA) who consulted on the project and conducted the
permethrin analyses of the uniforms, respectively. We thank Mark Davis and Isuru
Vidanage at the Centers for Disease Control and Prevention for technical assistance
in the quantification of the pyrethroid metabolites in urine.</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P47"><bold>Conflict of interest</bold> The authors declare that they have no
conflict of interest.</p></fn><fn id="FN2"><p id="P48"><bold>Supplementary information</bold> The online version of this
article (<ext-link ext-link-type="doi" xlink:href="10.1038/s41370-019-0120-y">https://doi.org/10.1038/s41370-019-0120-y</ext-link>)
contains supplementary material, which is available to authorized users.</p></fn><fn id="FN3"><p id="P49">Extended author information available on the last page of the
article</p></fn><fn id="FN4"><p id="P45" content-type="publisher-disclaimer">Department of the Army or the
Department of Defense. The findings and conclusions in this report are those of
the authors and do not necessarily represent the official position of the
Centers for Disease Control and Prevention. Use of trade names is for
identification only and does not imply endorsement by the CDC, the Public Health
Service, or the US Department of Health and Human Services.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="web"><collab>Armed Forces Pest Management Board
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collected within hour from given time. <sup>&#x00026;</sup>Demographic/health
questionnaires and cognitive battery administered; physiological measurements
recorded at first morning session. *First morning void.
<sup>&#x000b6;</sup>Groups 1 and 3 (operational/expeditionary: 33 h continuous
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Time under study environmental conditions; urine (U) samples collected during
time when study uniforms worn. Black: No study activities on Day 2 and 10</p></caption><graphic xlink:href="nihms-1677778-f0001"/></fig><fig id="F2" orientation="portrait" position="float"><label>Fig. 2</label><caption><p id="P51"><bold>a</bold>, <bold>b</bold>, <bold>c</bold> Median
creatinine-adjusted permethrin metabolite concentrations.</p></caption><graphic xlink:href="nihms-1677778-f0002"/></fig><table-wrap id="T1" position="float" orientation="landscape"><label>Table 1</label><caption><p id="P52">Descriptive characteristics of study groups</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="2" align="left" valign="top" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Group 1 (<italic>n</italic> = 10)</th><th align="left" valign="top" rowspan="1" colspan="1">Group 2 (<italic>n</italic> = 8)</th><th align="left" valign="top" rowspan="1" colspan="1">Group 3 (<italic>n</italic> = 7)</th><th align="left" valign="top" rowspan="1" colspan="1">Group 4 (<italic>n</italic> = 8)</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age (years)</td><td align="center" valign="top" rowspan="1" colspan="1">20.8 (3.6)</td><td align="center" valign="top" rowspan="1" colspan="1">19.1 (1.0)</td><td align="center" valign="top" rowspan="1" colspan="1">19.7 (3.4)</td><td align="center" valign="top" rowspan="1" colspan="1">18.8 (1.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Education (years)</td><td align="center" valign="top" rowspan="1" colspan="1">12.6 (1.3)</td><td align="center" valign="top" rowspan="1" colspan="1">12.0 (0)</td><td align="center" valign="top" rowspan="1" colspan="1">12.6 (1.5)</td><td align="center" valign="top" rowspan="1" colspan="1">12.1 (0.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Active army (months)</td><td align="center" valign="top" rowspan="1" colspan="1">6.4 (0.7)</td><td align="center" valign="top" rowspan="1" colspan="1">9.25 (1.7)</td><td align="center" valign="top" rowspan="1" colspan="1">7.1 (2.4)</td><td align="center" valign="top" rowspan="1" colspan="1">6.5 (0.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Height (m)</td><td align="center" valign="top" rowspan="1" colspan="1">1.79 (0.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1.80 (0.04)</td><td align="center" valign="top" rowspan="1" colspan="1">1.79 (0.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1.84 (0.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 1 weight (kg)</td><td align="center" valign="top" rowspan="1" colspan="1">78.8 (12.3)</td><td align="center" valign="top" rowspan="1" colspan="1">85.4 (10.4)</td><td align="center" valign="top" rowspan="1" colspan="1">74.9 (10.5)</td><td align="center" valign="top" rowspan="1" colspan="1">83.7 (9.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 1 BMI</td><td align="center" valign="top" rowspan="1" colspan="1">24.5 (3.1)</td><td align="center" valign="top" rowspan="1" colspan="1">26.2 (2.3)</td><td align="center" valign="top" rowspan="1" colspan="1">23.4 (2.3)</td><td align="center" valign="top" rowspan="1" colspan="1">24.6 (2.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 1 % body fat</td><td align="center" valign="top" rowspan="1" colspan="1">12.3 (4.5)</td><td align="center" valign="top" rowspan="1" colspan="1">11.6 (2.6)</td><td align="center" valign="top" rowspan="1" colspan="1">12.9 (5.9)</td><td align="center" valign="top" rowspan="1" colspan="1">11.9 (4.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 4 3-PBA (&#x003bc;g/g creatinine), 1st
morning void</td><td align="center" valign="top" rowspan="1" colspan="1">15.1 (11.9)</td><td align="center" valign="top" rowspan="1" colspan="1">14.5 (3.5)</td><td align="center" valign="top" rowspan="1" colspan="1">12.5 (5.2)</td><td align="center" valign="top" rowspan="1" colspan="1">12.9 (10.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"><italic>N</italic> (%)</td><td align="center" valign="top" rowspan="1" colspan="1"><italic>N</italic> (%)</td><td align="center" valign="top" rowspan="1" colspan="1"><italic>N</italic> (%)</td><td align="center" valign="top" rowspan="1" colspan="1"><italic>N</italic> (%)</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1"><italic>Race</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black</td><td align="center" valign="top" rowspan="1" colspan="1">2 (20)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (12.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (12.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="top" rowspan="1" colspan="1">8 (80)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (62.5)</td><td align="center" valign="top" rowspan="1" colspan="1">6 (85.7)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (62.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="center" valign="top" rowspan="1" colspan="1">2 (25)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="center" valign="top" rowspan="1" colspan="1">2 (25)</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1"><italic>Current rank</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;E1</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="center" valign="top" rowspan="1" colspan="1">2 (25)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (28.6)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (50)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;E2</td><td align="center" valign="top" rowspan="1" colspan="1">8 (80)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (50)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (57.1)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (50)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;E3</td><td align="center" valign="top" rowspan="1" colspan="1">1 (10)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (25)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;E4</td><td align="center" valign="top" rowspan="1" colspan="1">1 (10)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="center" valign="top" rowspan="1" colspan="1">1 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Regular exercise (% yes)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (80)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (100)</td><td align="center" valign="top" rowspan="1" colspan="1">7 (100)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (100)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Smoker (% yes)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (40)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (62.5)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (42.9)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (50)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Current alcohol use (% yes)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (30)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (12.5)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (71.4)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (50)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Current caffeine use (% yes)</td><td align="center" valign="top" rowspan="1" colspan="1">9 (90)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (100)</td><td align="center" valign="top" rowspan="1" colspan="1">7 (100)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (100)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Ever had job with pesticides (% yes)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (10)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (12.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (12.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">History of pesticide use around house/garden
(% yes)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (20)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (25)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (28.6)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (37.5)</td></tr></tbody></table></table-wrap><table-wrap id="T2" position="float" orientation="landscape"><label>Table 2</label><caption><p id="P53">Baseline (Day 1) functional health status and neurocognitive test
performances</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="2" align="left" valign="top" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Group 1 (<italic>n</italic> = 10)</th><th align="left" valign="top" rowspan="1" colspan="1">Group 2 (<italic>n</italic> = 8)</th><th align="left" valign="top" rowspan="1" colspan="1">Group 3 (<italic>n</italic> = 7)</th><th align="left" valign="top" rowspan="1" colspan="1">Group 4 (<italic>n</italic> = 8)</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th><th align="left" valign="top" rowspan="1" colspan="1">Mean (SD)</th></tr></thead><tbody><tr><td colspan="5" align="left" valign="top" rowspan="1"><italic>Functional
health</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;VR12 Physical Component Score</td><td align="center" valign="top" rowspan="1" colspan="1">54.94 (1.1)</td><td align="center" valign="top" rowspan="1" colspan="1">55.82 (1.6)</td><td align="center" valign="top" rowspan="1" colspan="1">54.93 (3.4)</td><td align="center" valign="top" rowspan="1" colspan="1">54.80 (3.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;VR12 Mental Component Score</td><td align="center" valign="top" rowspan="1" colspan="1">56.92 (4.7)</td><td align="center" valign="top" rowspan="1" colspan="1">60.07 (2.1)</td><td align="center" valign="top" rowspan="1" colspan="1">57.97 (4.9)</td><td align="center" valign="top" rowspan="1" colspan="1">56.05 (4.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;MOS Cognitive score</td><td align="center" valign="top" rowspan="1" colspan="1">91.50 (10.6)</td><td align="center" valign="top" rowspan="1" colspan="1">94.38 (8.2)</td><td align="center" valign="top" rowspan="1" colspan="1">89.29 (9.8)</td><td align="center" valign="top" rowspan="1" colspan="1">88.75 (8.4)</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1"><italic>ANAM4TBI, throughput
scores:</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Code substitution</td><td align="center" valign="top" rowspan="1" colspan="1">52.37 (17.3)</td><td align="center" valign="top" rowspan="1" colspan="1">58.66 (11.3)</td><td align="center" valign="top" rowspan="1" colspan="1">37.28 (14.0)</td><td align="center" valign="top" rowspan="1" colspan="1">45.90 (20.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Code substitution&#x02014;delayed</td><td align="center" valign="top" rowspan="1" colspan="1">61.24 (10.0)</td><td align="center" valign="top" rowspan="1" colspan="1">64.23 (3.9)</td><td align="center" valign="top" rowspan="1" colspan="1">52.28 (12.5)</td><td align="center" valign="top" rowspan="1" colspan="1">55.33 (10.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Match to sample</td><td align="center" valign="top" rowspan="1" colspan="1">39.65 (10.1)</td><td align="center" valign="top" rowspan="1" colspan="1">40.56 (15.9)</td><td align="center" valign="top" rowspan="1" colspan="1">36.89 (9.1)</td><td align="center" valign="top" rowspan="1" colspan="1">37.60 (13.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Math processing</td><td align="center" valign="top" rowspan="1" colspan="1">18.27 (6.2)</td><td align="center" valign="top" rowspan="1" colspan="1">19.77 (5.7)</td><td align="center" valign="top" rowspan="1" colspan="1">17.93 (7.2)</td><td align="center" valign="top" rowspan="1" colspan="1">18.62 (5.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Procedural reaction time</td><td align="center" valign="top" rowspan="1" colspan="1">87.26 (32.0)</td><td align="center" valign="top" rowspan="1" colspan="1">100.71 (12.2)</td><td align="center" valign="top" rowspan="1" colspan="1">91.20 (9.7)</td><td align="center" valign="top" rowspan="1" colspan="1">96.35 (18.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Simple reaction time</td><td align="center" valign="top" rowspan="1" colspan="1">234.4 (46.7)</td><td align="center" valign="top" rowspan="1" colspan="1">221.15 (35.7)</td><td align="center" valign="top" rowspan="1" colspan="1">225.5 (39.8)</td><td align="center" valign="top" rowspan="1" colspan="1">210.9 (19.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Simple reaction time 2</td><td align="center" valign="top" rowspan="1" colspan="1">245.6 (34.6)</td><td align="center" valign="top" rowspan="1" colspan="1">217.99 (23.7)</td><td align="center" valign="top" rowspan="1" colspan="1">240.2 (23.0)</td><td align="center" valign="top" rowspan="1" colspan="1">230.0 (16.7)</td></tr><tr><td colspan="5" align="left" valign="top" rowspan="1"><italic>Grooved
Pegboard:</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Dominant hand, time (s)</td><td align="center" valign="top" rowspan="1" colspan="1">71.0 (11.0)</td><td align="center" valign="top" rowspan="1" colspan="1">75.25 (7.6)</td><td align="center" valign="top" rowspan="1" colspan="1">75.1 (8.1)</td><td align="center" valign="top" rowspan="1" colspan="1">71.3 (10.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Dominant hand, # drops</td><td align="center" valign="top" rowspan="1" colspan="1">0.5 (0.5)</td><td align="center" valign="top" rowspan="1" colspan="1">0.38 (0.5)</td><td align="center" valign="top" rowspan="1" colspan="1">0.7 (1.1)</td><td align="center" valign="top" rowspan="1" colspan="1">0.4 (0.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-dominant hand, time (s)</td><td align="center" valign="top" rowspan="1" colspan="1">75.3 (6.9)</td><td align="center" valign="top" rowspan="1" colspan="1">83.88 (23.0)</td><td align="center" valign="top" rowspan="1" colspan="1">73.4 (6.2)</td><td align="center" valign="top" rowspan="1" colspan="1">76.9 (10.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-dominant hand, # drops</td><td align="center" valign="top" rowspan="1" colspan="1">0.7 (0.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (1.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.1 (0.4)</td><td align="center" valign="top" rowspan="1" colspan="1">0.4 (0.5)</td></tr></tbody></table></table-wrap><table-wrap id="T3" position="float" orientation="landscape"><label>Table 3</label><caption><p id="P54">Results from mixed models evaluating effects of wear time on urinary
concentrations of permethrin exposure biomarkers</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">LN(3-PBA)<italic>&#x003b2;</italic>
(<italic>p</italic>- value)</th><th align="left" valign="top" rowspan="1" colspan="1">LN(&#x003a3;DCCA)<italic>&#x003b2;</italic>
(<italic>p-</italic> value)</th></tr></thead><tbody><tr><td colspan="3" align="left" valign="top" rowspan="1"><italic>Model 1 (expeditionary
conditions&#x02014;33 h consecutive; comparing heat (Group 1) to
ambient (Group 3) conditions)</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 1</td><td align="left" valign="top" rowspan="1" colspan="1">1.267 (&#x0003c;0.0001)</td><td align="left" valign="top" rowspan="1" colspan="1">0.550 (&#x0003c;0.0001)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 3</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Creatinine (mg/dL)</td><td align="left" valign="top" rowspan="1" colspan="1">0.008 (&#x0003c;0.0001)</td><td align="left" valign="top" rowspan="1" colspan="1">0.007 (&#x0003c;0.0001)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;% Body fat</td><td align="left" valign="top" rowspan="1" colspan="1">0.0004 (0.974)</td><td align="left" valign="top" rowspan="1" colspan="1">0.005 (0.602)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1"><italic>Model 2 (Garrison
conditions&#x02014;8 h/day over 3 days; comparing heat (Group 2) to
ambient (Group 4) conditions)</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 2</td><td align="left" valign="top" rowspan="1" colspan="1">0.654 (0.0003)</td><td align="left" valign="top" rowspan="1" colspan="1">0.474 (0.001)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 4</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Creatinine (mg/dL)</td><td align="left" valign="top" rowspan="1" colspan="1">0.010 (&#x0003c;0.0001)</td><td align="left" valign="top" rowspan="1" colspan="1">0.009 (&#x0003c;0.0001)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;% Body fat</td><td align="left" valign="top" rowspan="1" colspan="1">0.002 (0.913)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.027 (0.121)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1"><italic>Model 3 (in heat
conditions; comparing 33 h consecutive (Group 1) 8 h/day over 3 days
(Group 2) wear-time durations)</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 1</td><td align="left" valign="top" rowspan="1" colspan="1">0.437 (0.0002)</td><td align="left" valign="top" rowspan="1" colspan="1">0.275 (&#x0003c; 0.0001)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 2</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Creatinine (mg/dL)</td><td align="left" valign="top" rowspan="1" colspan="1">0.010 (&#x0003c;0.0001)</td><td align="left" valign="top" rowspan="1" colspan="1">0.008 (&#x0003c; 0.0001)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;% Body fat</td><td align="left" valign="top" rowspan="1" colspan="1">0.049 (0.0009)</td><td align="left" valign="top" rowspan="1" colspan="1">0.050 (&#x0003c; 0.0001)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1"><italic>Model 4 (in ambient
conditions; comparing 33 h consecutive (Group 3) 8 h/day over 3 days
(Group 4) wear-time durations)</italic></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 3</td><td align="left" valign="top" rowspan="1" colspan="1">0.083 (0.568)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.020 (0.852)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Group 4</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Creatinine (mg/dL)</td><td align="left" valign="top" rowspan="1" colspan="1">0.009 (&#x0003c;0.0001)</td><td align="left" valign="top" rowspan="1" colspan="1">0.007 (&#x0003c;0.0001)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;% Body fat</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.013 (0.405)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.010 (0.383)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Smoker</td><td align="left" valign="top" rowspan="1" colspan="1">0.116 (0.431)</td><td align="left" valign="top" rowspan="1" colspan="1">0.154 (0.187)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-smoker</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P55">Groups 1 and 3 (operational/expeditionary: 33 h continuous uniform
wear):</p></fn><fn id="TFN2"><p id="P56">Group 1: in simulated hot environment (35 &#x000b0;C, 40% rh)</p></fn><fn id="TFN3"><p id="P57">Group 3: in comparison, ambient environment (average conditions 3
&#x000b0;C, 80% rh)</p></fn><fn id="TFN4"><p id="P58">Groups 2 and 4 (garrison: 3 day, 8 h/day uniform wear)</p></fn><fn id="TFN5"><p id="P59">Group 2: in simulated hot environment (35 &#x000b0;C, 40% rh)</p></fn><fn id="TFN6"><p id="P60">Group 4: in comparison, ambient environment (average conditions 13
&#x000b0;C, 60% rh)</p></fn><fn id="TFN7"><p id="P61"><italic>LN</italic> natural log, <italic>&#x003b2;</italic> beta
coefficient, <italic>3-PBA</italic> 3-phenoxybenzoic acid,
&#x003a3;<italic>DCCA</italic> sum of
<italic>cis</italic>-3-(2,2-dichlorovinyl)-2,2-dimethyl-cyclopropane-1-carboxylic
acid and
<italic>trans</italic>-3-(2,2-dichlorovinyl)-2,2-dimethyl-cyclopropane-1-carboxylic
acid</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="portrait"><label>Table 4</label><caption><p id="P62">Estimated daily dose at approximate peak excretion (12 h post heat/wear
time)</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Daily dose estimate (&#x003bc;g/kg/day)
geometric mean (range)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Group 1 (<italic>n</italic> = 9)<sup><xref rid="TFN14" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">6.88 (3.31&#x02013;10.01)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Group 2 (<italic>n</italic> = 8)</td><td align="left" valign="top" rowspan="1" colspan="1">2.60 (0.02&#x02013;8.49)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Group 3 (<italic>n</italic> = 6)<sup><xref rid="TFN14" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">3.33 (2.62&#x02013;4.43)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Group 4 (<italic>n</italic> = 8)</td><td align="left" valign="top" rowspan="1" colspan="1">2.81 (0.99&#x02013;4.97)</td></tr></tbody></table><table-wrap-foot><fn id="TFN8"><p id="P63">Groups 1 and 3 (operational/expeditionary: 33 h continuous uniform
wear):</p></fn><fn id="TFN9"><p id="P64">Group 1: in simulated hot environment (35 &#x000b0;C, 40% rh)</p></fn><fn id="TFN10"><p id="P65">Group 3: in comparison, ambient environment (average conditions 3
&#x000b0;C, 80% rh)</p></fn><fn id="TFN11"><p id="P66">Groups 2 and 4 (garrison: 3 day, 8 h/day uniform wear)</p></fn><fn id="TFN12"><p id="P67">Group 2: in simulated hot environment (35 &#x000b0;C, 40% rh)</p></fn><fn id="TFN13"><p id="P68">Group 4: in comparison, ambient environment (average conditions 13
&#x000b0;C, 60% rh)</p></fn><fn id="TFN14"><label>a</label><p id="P69">One sample excluded because creatinine value was outside accepted
range</p></fn></table-wrap-foot></table-wrap></floats-group></article>