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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0373220</journal-id><journal-id journal-id-type="pubmed-jr-id">3582</journal-id><journal-id journal-id-type="nlm-ta">Ergonomics</journal-id><journal-id journal-id-type="iso-abbrev">Ergonomics</journal-id><journal-title-group><journal-title>Ergonomics</journal-title></journal-title-group><issn pub-type="ppub">0014-0139</issn><issn pub-type="epub">1366-5847</issn></journal-meta><article-meta><article-id pub-id-type="pmid">38465900</article-id><article-id pub-id-type="pmc">12038821</article-id><article-id pub-id-type="doi">10.1080/00140139.2024.2327582</article-id><article-id pub-id-type="manuscript">HHSPA2072700</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>The Impact of Inter-limb Leg Lean Tissue Mass Asymmetry on Stair Climb Performance in Career Firefighters</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Buoncristiani</surname><given-names>Nicholas A.</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Gerstner</surname><given-names>Gena R.</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Laffan</surname><given-names>Megan R.</given-names></name><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Trivisonno</surname><given-names>Abigail J.</given-names></name><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Mota</surname><given-names>Jacob A.</given-names></name><xref rid="A6" ref-type="aff">6</xref></contrib><contrib contrib-type="author"><name><surname>Giuliani-Dewig</surname><given-names>Hayden K.</given-names></name><xref rid="A7" ref-type="aff">7</xref></contrib><contrib contrib-type="author"><name><surname>Ryan</surname><given-names>Eric D.</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref><xref rid="A3" ref-type="aff">3</xref></contrib></contrib-group><aff id="A1"><label>1</label>Neuromuscular Assessment Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC</aff><aff id="A2"><label>2</label>Carolina Center for Healthy Work Design and Worker Well-Being, University of North Carolina at Chapel Hill, Chapel Hill, NC</aff><aff id="A3"><label>3</label>Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC</aff><aff id="A4"><label>4</label>Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC</aff><aff id="A5"><label>5</label>United States Performance Center, Charlotte, NC</aff><aff id="A6"><label>6</label>Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX</aff><aff id="A7"><label>7</label>Human Performance Innovation Center, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV</aff><author-notes><corresp id="CR1">Corresponding author: Eric D. Ryan, PhD, Professor, Department of Exercise and Sport Science, Adjunct Department of Health Sciences, University of North Carolina at Chapel Hill, 209 Fetzer Hall, CB #8700, Chapel Hill, NC 27599-8700, <email>edryan@email.unc.edu</email>, Fax: 919-962-0489</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>12</day><month>4</month><year>2025</year></pub-date><pub-date pub-type="ppub"><month>3</month><year>2025</year></pub-date><pub-date pub-type="epub"><day>11</day><month>3</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>29</day><month>4</month><year>2025</year></pub-date><volume>68</volume><issue>3</issue><fpage>338</fpage><lpage>344</lpage><abstract id="ABS1"><p id="P1">The purpose of this study was to examine the influence of inter-limb leg lean tissue mass (LTM) asymmetry on stair climb (SC) performance in firefighters. Forty-one career firefighters (age=32.3&#x000b1;8.2 years, body mass=92.1&#x000b1;18.6 kg, stature=178.3&#x000b1;7.9 cm) visited the laboratory on one occasion and completed a whole body and leg composition assessment followed by a timed and weighted SC task. Percent body fat (%BF) and leg LTM were determined during a DEXA scan and regional thigh analysis. Asymmetry was assessed by the percent difference between limbs (dominant limb LTM &#x02013; non-dominant limb LTM)/dominant limb LTM &#x000d7; 100) and a &#x000b1;3% cut-off for asymmetry classification. Participants ascended and descended 26 stairs four times as quickly as possible while wearing a weighted (22kg) vest. Point biserial correlations were used to assess the relationship of inter-limb leg LTM asymmetry and SC performance before and after controlling for age and %BF. Results indicated that inter-limb leg LTM asymmetry was associated with longer SC task time (poorer performance) both before (<italic toggle="yes">r</italic>=0.432, <italic toggle="yes">P</italic>=0.005) and after (<italic toggle="yes">r</italic>=0.502, <italic toggle="yes">P</italic>=0.001) controlling for age and %BF. Our findings indicated that inter-limb leg LTM asymmetry negatively impacts firefighter SC performance, which may be improved with appropriate exercise interventions.</p></abstract><abstract id="ABS2" abstract-type="summary"><title>Practitioner Summary:</title><p id="P2">This study examined the influence of leg inter-limb lean tissue mass (LTM) asymmetry on SC performance in career firefighters. We found that inter-limb leg LTM asymmetry was associated with reduced SC performance, prior to and after controlling for age and percent body fat. Interventions that mitigate these asymmetries may improve occupational performance.</p></abstract><kwd-group><kwd>Tactical</kwd><kwd>occupational health</kwd><kwd>body composition</kwd><kwd>occupational performance</kwd><kwd>aging</kwd></kwd-group></article-meta></front><body><sec id="S1"><title>INTRODUCTION</title><p id="P3">Firefighters are paramount to public safety with over 360,000 career firefighters currently employed in the United States, protecting nearly 70% of the population (<xref rid="R7" ref-type="bibr">7</xref>). Occupational injuries are common within the fire service with over 60,000 firefighters being injured on duty in 2021 (<xref rid="R5" ref-type="bibr">5</xref>). These injuries result in a high economic burden, with subsequent expenses between $2.8 billion and $7.8 billion per year (<xref rid="R25" ref-type="bibr">25</xref>). One potential contributing factor is that these individuals are required to perform a number of critical and essential tasks in hazardous conditions while wearing personal protective equipment weighing around 22 kg (<xref rid="R22" ref-type="bibr">22</xref>). Specifically, the International Association of Fire Chiefs and International Association of Firefighters have identified eight critical firefighter tasks in the Candidate Physical Abilities Test (<xref rid="R32" ref-type="bibr">32</xref>). The stair climb (SC) task is often considered one of the most critical and challenging tasks. For example, previous studies have demonstrated a significant cardiometabolic response during the SC including near maximal heart rates and increased oxygen consumption and blood lactate levels (<xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R28" ref-type="bibr">28</xref>,<xref rid="R35" ref-type="bibr">35</xref>). Further, simulated SC assessments have been shown to be reliable (<xref rid="R28" ref-type="bibr">28</xref>) and rated as a highly relevant occupational task among firefighters with a mean response of 3.6 on a 0 &#x02013; 4 scale (0 = not relevant at all, 4 = very relevant) (<xref rid="R31" ref-type="bibr">31</xref>).</p><p id="P4">Inter-limb leg lean tissue mass (LTM) asymmetries occur when there are inter-limb differences in skeletal muscle mass. These asymmetries have been examined in various populations ranging from athletes to older adults (<xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R19" ref-type="bibr">19</xref>,<xref rid="R21" ref-type="bibr">21</xref>). Previous studies have found leg inter-limb asymmetries adversely impact countermovement jump height (<xref rid="R2" ref-type="bibr">2</xref>), contribute to greater leg inter-limb strength differences (<xref rid="R11" ref-type="bibr">11</xref>), and are associated with reduced performance in common functional tasks (i.e., chair sit-to-stands, walking, timed-up-and-go) (<xref rid="R18" ref-type="bibr">18</xref>). Previous authors have suggested inter-limb leg LTM asymmetries are influenced by performing various tasks on a favored side over time (<xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R33" ref-type="bibr">33</xref>). For example, Australian football players tend to have larger psoas muscle size in their kicking (favored) limb, when compared to their stance leg (<xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R33" ref-type="bibr">33</xref>). It is possible firefighters are exposed to occupational tasks that are performed on a favored side such as specific victim drag techniques and/or asymmetric load carriage (<xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R33" ref-type="bibr">33</xref>). Due to the unilateral limb demands during a SC task (<xref rid="R29" ref-type="bibr">29</xref>), inter-limb leg LTM asymmetries may negatively impact SC performance. For instance, previous authors (<xref rid="R29" ref-type="bibr">29</xref>) have indicated that inter-limb leg asymmetry adversely affects SC speed more than gait speed in older adults due to the higher demand on unilateral leg function. These previous studies indicate a need to assess and examine the relationship between inter-limb leg asymmetries and occupational performance in career firefighters. Therefore, the purpose of this study is to examine the relationship between inter-limb leg LTM differences and SC performance in career firefighters. We hypothesize that firefighters with greater LTM asymmetries will have reduced performance (longer time to completion) during a timed SC task.</p></sec><sec id="S2"><title>MATERIALS and METHODS</title><sec id="S3"><title>Participants</title><p id="P5">Forty-one career male firefighters (all demographic data are in <xref rid="T1" ref-type="table">Table 1</xref>) volunteered for this investigation. All participants were apparently healthy and free of any known cardiovascular, neuromuscular, or metabolic diseases and indicated that they had not sustained any recent musculoskeletal injuries. Participants were excluded if they were a current smoker or had a history of surgery to the low back (e.g., spinal fusion) or lower extremities (e.g., joint replacement, ligament reconstruction). This study was approved by the University institutional review board (IRB #18-1458) for the protection of human subjects.</p></sec><sec id="S4"><title>Experimental Design</title><p id="P6">Participants reported to the laboratory on one occasion following an eight-hour fast (excluding water). They were instructed to refrain from caffeine and smokeless tobacco for a minimum of 12 hours and abstain from vigorous lower-body exercise for a minimum of 48 hours prior to the visit. Each participant completed an informed consent document, a health history questionnaire, a body composition assessment, and a timed SC task with a weighted vest. Prior to the SC task, participants consumed a standardized meal (Carnation Breakfast Essentials High Protein 8 fl oz) to break their fast.</p></sec><sec id="S5"><title>Body Composition</title><p id="P7">Stature and body mass were assessed using a calibrated clinical scale (Health o meter 2101 KL, Bridgeview, IL). Percent body fat (%BF) and leg lean tissue mass (LTM) were assessed using a daily calibrated dual energy x-ray absorptiometry (DEXA; GE Lunar iDXA, General Electric Medical Systems Ultrasound &#x00026; Primary Care Diagnostics, Madison WI, USA) scan. Participants wore athletic clothing and removed any metal prior to the scan. Participants were instructed to lie supine and remain still throughout the duration of the scan per the manufacturer's guidelines. Leg LTM was determined by outlining both legs into regions of interest as described similarly in previous studies (<xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R23" ref-type="bibr">23</xref>). Tracings for each leg started lateral to the iliac crest and moved diagonally through the femoral neck, continuing down the leg and below the foot, and connecting to the initial tracing at the iliac crest (see <xref rid="F1" ref-type="fig">Figure 1</xref>). Asymmetry was assessed by subtracting the non-dominant limb LTM from the dominant limb LTM and then dividing by the LTM of the dominant limb and expressed as a percentage. Dominant limb was determined by asking participants which leg they would kick a ball with. A &#x000b1;3% LTM cut-off was used as it has been shown to result in significant inter-limb leg strength differences (<xref rid="R11" ref-type="bibr">11</xref>).</p></sec><sec id="S6"><title>Stair Climb Performance</title><p id="P8">All participants performed a timed SC task wearing a weighted vest as described previously (<xref rid="R31" ref-type="bibr">31</xref>). Prior to the assessment, participants were familiarized with the protocol by ascending 26 steps once without the weighted vest. After the familiarization, participants were fitted with a 22.73 kg weighted vest (Z Fitness Inc., San Jose, CA, USA) to simulate the weight of their personal protective equipment (PPE) and self-contained breathing apparatus (SCBA) (<xref rid="R31" ref-type="bibr">31</xref>). The vest was securely fastened around the torso and chest via Velcro straps to assure movement was minimized during the SC task. Following the verbal command (i.e., 3-2-1-GO), a timer started and participants began to ascend and descend 26 stairs that included a floor, followed by three separate flights of stairs (i.e. nine steps, nine steps, five steps) and a landing for each flight. Firefighters completed this four times for a total of 104 steps. They were instructed to touch each step (stair height &#x02013; 18.5 cm) with one foot as quickly as possible without stopping or holding onto the railing. The timer stopped once both feet touched the floor of the bottom of the stairs.</p></sec><sec id="S7"><title>Statistical Analysis</title><p id="P9">All descriptive data are presented as mean &#x000b1; standard deviation. A point biserial correlation was used to assess the relationship between leg inter-limb asymmetry and SC task performance. Due to the large age range (<xref rid="R7" ref-type="bibr">7</xref>) and high prevalence of obesity among firefighters (<xref rid="R30" ref-type="bibr">30</xref>), an additional partial correlation controlling for age and %BF was employed to assess the relationship between inter-limb leg LTM asymmetry and SC task performance. As previous studies (<xref rid="R4" ref-type="bibr">4</xref>) have reported taller participants walk faster, we also examined the potential relationship of stature on SC performance. Outliers were identified and removed if they were greater than three standard deviations above the mean. All data were analyzed using R statistical language (version 4.1.2 R Core Team, 2022). An alpha level of 0.05 was utilized a priori to determine statistical significance.</p></sec></sec><sec id="S8"><title>RESULTS</title><p id="P10">All mean and standard deviation values for limb LTM, asymmetry, and SC variables are presented in <xref rid="T1" ref-type="table">Table 1</xref>. Our participants age and %BF were similar to and representative of career firefighters reported in previous studies (<xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R30" ref-type="bibr">30</xref>). One participant was identified as an outlier (&#x0003e; 4 SD above the mean) for the SC time and was removed prior to analyses. The point biserial correlation indicated LTM asymmetry was associated with longer SC task time (poorer performance) (<italic toggle="yes">r</italic> = 0.432, <italic toggle="yes">P</italic> = 0.005). When adjusting for age and %BF, a similar positive relationship was observed between LTM asymmetry and SC time (<italic toggle="yes">r</italic> = 0.502, <italic toggle="yes">P</italic> = 0.001). Lastly, there was no significant relationship between participant stature and SC time (<italic toggle="yes">r</italic> = &#x02212;0.095, <italic toggle="yes">P</italic> = 0.562).</p></sec><sec id="S9"><title>DISCUSSION</title><p id="P11">Firefighters are required to perform a number of essential occupational activities (<xref rid="R32" ref-type="bibr">32</xref>), however, the SC is often considered one of the most critical and challenging tasks (<xref rid="R34" ref-type="bibr">34</xref>). The current study examined the impact of lower body LTM asymmetry on simulated SC performance in career firefighters. The primary findings of the current study indicated that inter-limb leg LTM asymmetry is significantly associated with impaired SC task performance (longer completion times) in career firefighters before and after accounting for age and %BF.</p><p id="P12">The finding that greater inter-limb leg LTM asymmetry is associated with reduced performance is in agreement with previous research in both athletic and older adult populations (<xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R21" ref-type="bibr">21</xref>). For example, investigators have reported that greater inter-limb leg LTM asymmetries are associated with poorer countermovement jump height (<xref rid="R2" ref-type="bibr">2</xref>), greater inter-limb strength differences (unilateral isometric back squat on force plates) (<xref rid="R11" ref-type="bibr">11</xref>), poorer performance during common functional tasks (chair sit-to-stands, walking, timed-up-and-go) (<xref rid="R18" ref-type="bibr">18</xref>), and reduced lower-extremity function (400 m walk test, 30 sec chair sit-to-stands) (<xref rid="R21" ref-type="bibr">21</xref>). These authors (<xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R21" ref-type="bibr">21</xref>) also noted that inter-limb leg LTM asymmetries likely contribute to limb strength/power capabilities that may impact subsequent performance. For example, Bell et al. (<xref rid="R2" ref-type="bibr">2</xref>) reported LTM asymmetry accounted for 20% of the variance in leg inter-limb force differences in collegiate athletes. Thus, it is possible that the inter-limb leg LTM asymmetry reported in the current study may have contributed to strength/power asymmetries whereby the weaker limb is unable to maintain the unilateral demands required during the weighted SC climb (<xref rid="R24" ref-type="bibr">24</xref>,<xref rid="R29" ref-type="bibr">29</xref>). This may be supported by Portegijis et al. (<xref rid="R29" ref-type="bibr">29</xref>) who reported leg inter-limb asymmetry adversely affects SC speed more than gait speed in older adults, given that the SC is a more challenging mobility task requiring a higher demand on unilateral leg function.</p><p id="P13">Previous studies have suggested inter-limb leg LTM differences occur as a result of the mechanical stress stimulating increases in muscle mass on the favored limb through chronic exposure to asymmetric tasks, and is commonly seen in athletic populations (<xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R33" ref-type="bibr">33</xref>). For example, Australian football athletes tend to have greater psoas major muscle size in their dominant (kicking) leg compared to their contralateral (stance) limb, and field hockey athletes exhibit lower extremity asymmetries between their lead side and contralateral limb (<xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R33" ref-type="bibr">33</xref>). We are unaware of any previous studies that have examined the impact of inter-limb leg LTM asymmetries on occupational performance in firefighters. Based on previous studies examining LTM in athletic populations (<xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R11" ref-type="bibr">11</xref>), the muscle atrophy that occurs following injury (<xref rid="R19" ref-type="bibr">19</xref>), and recent work demonstrating the impact of firefighter demographics on performance during other simulated occupational tasks (<xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R31" ref-type="bibr">31</xref>), it is possible that these asymmetries may exist due to chronically performing various firefighter tasks, injury history, age, and/or %BF.</p><p id="P14">Previous injury (i.e., ACL tear) can cause prolonged underloading resulting in muscle atrophy of the injured limb and the development of inter-limb leg LTM asymmetry (<xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R19" ref-type="bibr">19</xref>). However, inter-limb leg LTM asymmetry reported in the current study may occur from repetitively performing occupational tasks targeting the favored side given that we excluded participants with any major musculoskeletal surgeries in the lower leg and back, any recent injuries, and found no impact of age and %BF when controlled for our in our analyses. For example, firefighters perform many occupational duties including specific victim drag techniques and asymmetric load carriage that may impact inter-limb leg LTM asymmetries. However, future work (e.g., occupational analysis) is needed to identify specific issues that cause LTM asymmetries in firefighters. Additionally, it is important to note that inter-limb leg LTM asymmetry accounted for 18.7 &#x02013; 25.2% of the variance in SC time, which aligns with previous studies (<xref rid="R2" ref-type="bibr">2</xref>). Along with LTM asymmetries, it is likely additional physiological parameters such as lower extremity strength and power (<xref rid="R31" ref-type="bibr">31</xref>), aerobic capacity (<xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R15" ref-type="bibr">15</xref>,<xref rid="R26" ref-type="bibr">26</xref>), and/or steadiness (<xref rid="R31" ref-type="bibr">31</xref>) may also be important contributors to SC performance. Therefore, future studies are needed to identify additional variables that further explain the remaining variance in firefighter SC performance. Lastly, it is important to note that previous investigations have utilized different percent asymmetry calculations (<xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R11" ref-type="bibr">11</xref>). However, when using these calculations (<xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R11" ref-type="bibr">11</xref>) to determine the &#x000b1;3% threshold, there were no differences in the outcome (<italic toggle="yes">r</italic> = 0.432, <italic toggle="yes">P</italic> = 0.005, 7 asymmetry cases identified) between these methods and the asymmetry calculation used in the current paper.</p><sec id="S10"><title>Limitations and Future Research Considerations</title><p id="P15">Previous research has shown simulated SC performance to be reliable (<xref rid="R28" ref-type="bibr">28</xref>) and that using a weighted vest to simulate the impact of wearing firefighter PPE and SCBA during a SC task is occupationally relevant (<xref rid="R31" ref-type="bibr">31</xref>). However, given that prior investigations have noted wearing PPE or a SCBA results in minimal to significant alterations in balance performance (<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R16" ref-type="bibr">16</xref>,<xref rid="R27" ref-type="bibr">27</xref>), future investigations are needed to determine the impact of wearing PPE and/or SCBA versus a weighted vest on SC performance. While the aim of the current study examined the impact of inter-limb leg LTM asymmetries on performance, additional work is needed to determine the impact of asymmetries on firefighter injuries. Further, to increase the ability to test more firefighters at their departments, future studies are required to determine if field-based assessments of inter-limb leg LTM (e.g. bioelectrical impedance analysis) are suitable alternatives to examine asymmetries when compared to the DEXA-based assessments used in the current study.</p></sec><sec id="S11"><title>Conclusion</title><p id="P16">The primary findings of the current study indicated that inter-limb leg LTM asymmetry (&#x02265;3%) is significantly associated with poorer SC task performance in career firefighters. These results highlight the importance of 1) monitoring inter-limb leg LTM over time to identify firefighters who have significant asymmetries that may impact performance and potential injury risk (<xref rid="R13" ref-type="bibr">13</xref>), and 2) implementing training strategies to minimize inter-limb leg asymmetries (<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R10" ref-type="bibr">10</xref>).</p></sec></sec></body><back><ack id="S12"><title>Acknowledgments:</title><p id="P17">We would like to thank all the local fire departments who supported and participated in this project.</p><sec id="S13"><title>Funding:</title><p id="P18">This project was supported in part by a grant through the Centers of Disease Control and Prevention (#U19-OH012303).</p></sec></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P19">Disclosure statement:</p><p id="P20">No conflicts of interests were reported by the authors.</p></fn></fn-group><glossary><title>Abbreviation:</title><def-list><def-item><term>LTM</term><def><p id="P21">Lean tissue mass</p></def></def-item><def-item><term>SC</term><def><p id="P22">Stair climb</p></def></def-item><def-item><term>DEXA</term><def><p id="P23">Dual energy x-ray absorptiometry</p></def></def-item><def-item><term>ACL</term><def><p id="P24">Anterior Cruciate Ligament</p></def></def-item><def-item><term>%BF</term><def><p id="P25">Percent Body Fat</p></def></def-item><def-item><term>PPE</term><def><p id="P26">Personal Protective Equipment</p></def></def-item><def-item><term>BMI</term><def><p id="P27">Body Mass Index</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="book"><name><surname>Alvar</surname><given-names>BA</given-names></name>, <name><surname>Sell</surname><given-names>K</given-names></name>, <name><surname>Deuster</surname><given-names>PA</given-names></name>, and <collab>National Strength &#x00026; Conditioning Association (U.S.)</collab> (eds.). <source>NSCA&#x02019;s essentials of tactical strength and conditioning</source>. <publisher-loc>Champaign, IL</publisher-loc>: <publisher-name>Human Kinetics</publisher-name>, <year>2017</year>.</mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="journal"><name><surname>Bell</surname><given-names>DR</given-names></name>, <name><surname>Sanfilippo</surname><given-names>JL</given-names></name>, <name><surname>Binkley</surname><given-names>N</given-names></name>, and <name><surname>Heiderscheit</surname><given-names>BC</given-names></name>. <article-title>Lean Mass Asymmetry Influences Force and Power Asymmetry During Jumping in Collegiate Athletes</article-title>. <source>Journal of Strength and Conditioning Research</source>
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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><p id="P28">Examples of the boundaries (highlighted in yellow) used for the limb lean tissue mass analysis from a dual energy x-ray absorptiometry scan (A) and of the stair climb task with weighted vest (B).</p></caption><graphic xlink:href="nihms-2072700-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2.</label><caption><p id="P29">Box-and-whisker plots for asymmetry classification and stair climb time. Median values are marked with a bold line within the boxes. The lower and upper boundaries represent the 25<sup>th</sup> (Q1) and 75<sup>th</sup> (Q3) percentiles. The lower and upper whiskers indicate the value for (Q1 &#x02013; [1.5 * Interquartile Range]) and (Q3 + [1.5 * Interquartile Range]), respectively. N = 40 male career firefighters.</p></caption><graphic xlink:href="nihms-2072700-f0002" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1.</label><caption><p id="P30">Mean &#x000b1; standard deviation (SD) and range values for the demographic and performance variables.</p></caption><table frame="above" 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">Mean &#x000b1; SD</th><th align="left" valign="top" rowspan="1" colspan="1">Range</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="left" valign="top" rowspan="1" colspan="1">32.3 &#x000b1; 8.2</td><td align="left" valign="top" rowspan="1" colspan="1">20.0 &#x02013; 50.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Stature (cm)</td><td align="left" valign="top" rowspan="1" colspan="1">178.3 &#x000b1; 7.9</td><td align="left" valign="top" rowspan="1" colspan="1">159.2 &#x02013; 194.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Body mass (kg)</td><td align="left" valign="top" rowspan="1" colspan="1">92.1 &#x000b1; 18.6</td><td align="left" valign="top" rowspan="1" colspan="1">65.0 &#x02013; 132.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">BMI (kg/m<sup>2</sup>)</td><td align="left" valign="top" rowspan="1" colspan="1">28.8 &#x000b1; 5.3</td><td align="left" valign="top" rowspan="1" colspan="1">20.9 &#x02013; 41.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">% BF (%)</td><td align="left" valign="top" rowspan="1" colspan="1">24.1 &#x000b1; 7.9</td><td align="left" valign="top" rowspan="1" colspan="1">9.9 &#x02013; 39.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Dominant leg mass (kg)</td><td align="left" valign="top" rowspan="1" colspan="1">11.9 &#x000b1; 2.1</td><td align="left" valign="top" rowspan="1" colspan="1">8.3 &#x02013; 17.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-Dominant leg mass (kg)</td><td align="left" valign="top" rowspan="1" colspan="1">11.9 &#x000b1; 2.0</td><td align="left" valign="top" rowspan="1" colspan="1">8.7 &#x02013; 16.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Leg asymmetry (%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.5 &#x000b1; 2.5</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;4.9 &#x02013; 5.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">SC time (seconds)</td><td align="left" valign="top" rowspan="1" colspan="1">74.7 &#x000b1; 13.4</td><td align="left" valign="top" rowspan="1" colspan="1">61.0 &#x02013; 129.0</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P31"><italic toggle="yes">BMI</italic> &#x02013; body mass index, % <italic toggle="yes">BF</italic> &#x02013; percent body fat, SC &#x02013; stair climb.</p></fn><fn id="TFN2"><p id="P32">N = 41 male career firefighters</p></fn></table-wrap-foot></table-wrap></floats-group></article>