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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sports Act. Living</journal-id>
<journal-title>Frontiers in Sports and Active Living</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sports Act. Living</abbrev-journal-title>
<issn pub-type="epub">2624-9367</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fspor.2025.1660112</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sports and Active Living</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Non-dominant leg joints bear greater loading during balance beam walking in 4-year-old children</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Pan</surname><given-names>Jintao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3105173/overview"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/></contrib>
<contrib contrib-type="author"><name><surname>Xu</surname><given-names>Zihang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/></contrib>
<contrib contrib-type="author"><name><surname>Hu</surname><given-names>Xue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/></contrib>
<contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Weixin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Yang</surname><given-names>Qining</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1847977/overview" /><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Ren</surname><given-names>Xiping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1614055/overview" /><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>College of Physical Education and Health Sciences, Zhejiang Normal University</institution>, <addr-line>Jinhua</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Rehabilitation, The Affiliated Jinhua Hospital, Zhejiang University School of Medicine</institution>, <addr-line>Jinhua</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Joint Surgery, The Affiliated Jinhua Hospital, Zhejiang University School of Medicine</institution>, <addr-line>Jinhua</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2254187/overview">Wei-Hsun Tai</ext-link>, Quanzhou Normal University, China</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/837312/overview">Mariaan Van Aswegen</ext-link>, North-West University, South Africa</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3158639/overview">Marian Magdy</ext-link>, Modern University for Information and Technology, Egypt</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Xiping Ren <email>renxiping@zjnu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>03</day><month>10</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>7</volume><elocation-id>1660112</elocation-id>
<history>
<date date-type="received"><day>05</day><month>07</month><year>2025</year></date>
<date date-type="accepted"><day>22</day><month>09</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Pan, Xu, Hu, Zhu, Yang and Ren.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Pan, Xu, Hu, Zhu, Yang and Ren</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Dynamic balance is a critical foundation for the development of motor skills in early childhood. Functional tasks such as beam walking pose a significant challenge to the frontal plane stability of preschool children. However, the mechanisms by which young children regulate hip, knee, and ankle joint loading under such conditions remain unclear. Therefore, this study aimed to explore the regulatory strategies of lower limb joint reaction forces during beam walking in 4-year-old children.</p>
</sec><sec><title>Methods</title>
<p>Fourteen healthy 4-year-old children participated in overground walking (OGW) and balance beam walking (BBW). A markerless motion capture system, OpenCap, was used to collect kinematic data. Joint reaction forces in the frontal plane for the dominant and non-dominant at the hip, knee, and ankle were computed using OpenSim. One-dimensional time series parameters of joint reaction forces were used to assess loading characteristics between OGW and BBW.</p>
</sec><sec><title>Results</title>
<p>Under BBW, the medial reaction force at the non-dominant hip joint significantly increased during multiple phases of the gait cycle, and the lateral force at the non-dominant knee joint decreased during the swing phase, with slower medial-to-lateral transitions.</p>
</sec><sec><title>Conclusion</title>
<p>In functional walking tasks, asymmetry in lower limb joint loading between the dominant and non-dominant legs may serve as a sensitive indicator for assessing the neuromuscular development and gait control strategies in preschool children.</p>
</sec>
</abstract>
<kwd-group>
<kwd>early childhood</kwd>
<kwd>narrow beam</kwd>
<kwd>functional tasks</kwd>
<kwd>dynamic balance</kwd>
<kwd>biomechanics</kwd>
</kwd-group><contract-num rid="cn001">82472154</contract-num><contract-sponsor id="cn001">National Nature Science Foundation of China</contract-sponsor><counts>
<fig-count count="2"/>
<table-count count="1"/><equation-count count="0"/><ref-count count="72"/><page-count count="8"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Biomechanics and Control of Human Movement</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Balance is a core component of early motor skill development in children and plays a crucial role in maintaining gait stability, improving motor coordination, and preventing injuries (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). As the neuromuscular system matures, children&#x0027;s balance control abilities continue to develop and are optimized. Especially in the preschool stage, the rate of development of balance control in children is significant (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>), yet dynamic balance control in walking exhibits great variability (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Among the functional tasks designed to assess dynamic balance, narrow beam walking increases the difficulty of walking and places higher demands on body stability control. Not only is this task applicable to assessing balance function (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>), but it can also be used to evaluate the effectiveness of balance training (<xref ref-type="bibr" rid="B8">8</xref>). Beam walking has been applied to screen motor skill development and early identification of disorders in children (<xref ref-type="bibr" rid="B9">9</xref>). Studies have shown that in children with vestibular dysfunction, motor coordination disorders, and intellectual disability, beam walking can be employed as a potential early warning tool to help clinicians detect abnormal tendencies in motor control before symptoms become apparent, thus enabling early intervention and treatment (<xref ref-type="bibr" rid="B10">10</xref>). Age 4 is considered to be a critical period for the transition from the initial establishment of gait stability to fine regulation (<xref ref-type="bibr" rid="B3">3</xref>). At this age, children&#x0027;s neuromuscular system is still developing, and they may exhibit great gait variability and regulation variations when faced with challenging tasks such as beam walking (<xref ref-type="bibr" rid="B11">11</xref>). Reducing walking speed, decreasing step frequency, and increasing lower limb joint range of motion can maintain balance. These compensatory mechanisms often lead to increased energy expenditure and changes in joint loading (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Relative to spatiotemporal parameters (e.g., step length and step frequency), center of mass trajectories, and limb kinematics and dynamics (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>), the distribution of mechanical loading at the hip, knee, and ankle joints during gait control in preschoolers has not been fully studied. Previous studies have shown that there are significant differences in gait asymmetry among children with different weights (<xref ref-type="bibr" rid="B15">15</xref>). Additionally, gait symmetry significantly affects joint loading in the frontal plane (<xref ref-type="bibr" rid="B16">16</xref>), potentially leading to asymmetric loading between the dominant and non-dominant legs (<xref ref-type="bibr" rid="B17">17</xref>). However, there is currently a lack of quantitative evidence to confirm whether such asymmetry affects joint loading in functional tasks requiring greater frontal stability.</p>
<p>Therefore, this study aimed to investigate the dynamic changes at the hip, knee, and ankle joint reaction forces in the frontal plane during balance beam walking (BBW) and overground walking (OGW) in 4-year-old children, and to reveal the loading regulation strategies of lower limb joints in complex functional balance tasks. We hypothesized that lower limb joint loading adjustments and balance control strategies during BBW in 4-year-old children may exhibit asymmetrical patterns.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Study design</title>
<p>An observational study.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Participants</title>
<p>The sample size was computed using G&#x002A;Power software (v3.1.9.7, University of D&#x00FC;sseldorf, Germany), based on <italic>a priori</italic> power analysis assuming a difference between two dependent means (<italic>&#x03B1;</italic>&#x2009;&#x003D;&#x2009;0.05, 1-<italic>&#x03B2;</italic>&#x2009;&#x003D;&#x2009;0.80, effect size dz&#x2009;&#x003D;&#x2009;0.81) (<xref ref-type="bibr" rid="B18">18</xref>). Fourteen 4-year-old children from a local preschool participated in this study (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Regarding walking on a balance beam, all participants had no prior experience. The dominant leg of all participants was determined based on the leg used for kicking (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>), identified as the right leg. Inclusion criteria were the absence of neurological dysfunction, musculoskeletal disorders, and psychological disorders. Written consent was obtained from their parents prior to the measurements. Ethical approval was obtained from the Ethics Committee of Zhejiang Normal University (ZSRT2024203). All measurements were carried out in accordance with the Declaration of Helsinki.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Demographic characteristics of preschool children in this study. Values are presented as mean&#x2009;&#x00B1;&#x2009;standard deviation (SD).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">N</th>
<th valign="top" align="center">Gender (M/F)</th>
<th valign="top" align="center">Age (years)</th>
<th valign="top" align="center">Height (m)</th>
<th valign="top" align="center">Body Mass (kg)</th>
<th valign="top" align="center">BMI (kg/m<sup>2</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="center">8/6</td>
<td valign="top" align="center">4.57&#x2009;&#x00B1;&#x2009;0.35</td>
<td valign="top" align="center">1.12&#x2009;&#x00B1;&#x2009;0.05</td>
<td valign="top" align="center">17.82&#x2009;&#x00B1;&#x2009;1.42</td>
<td valign="top" align="center">14.22&#x2009;&#x00B1;&#x2009;0.74</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2c"><label>2.3</label><title>Experimental protocol</title>
<p>A schematic diagram of the experimental setup, including the apparatus configuration, calibration space, and data acquisition workflow, is shown in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>. A standard-sized balance beam measuring 3&#x2005;m in length, 0.1&#x2005;m in width, and 0.3&#x2005;m in height (Reliable Co., Ltd., Beijing, China) served as an apparatus for the balance tasks. Each end of the beam was equipped with a 0.2&#x2009;&#x00D7;&#x2009;0.3&#x2005;m elevated platform (height: 0.3&#x2005;m) serving as a safe starting and ending area (<xref ref-type="bibr" rid="B21">21</xref>). Additionally, a straight line measuring 3&#x2005;m in length and 0.1&#x2005;m in width was marked on the ground using bright yellow tape, serving as the walking path. Two iOS devices (iPhone 13 Pro Max and iPhone XR, Apple Inc., Cupertino, CA, USA) integrated with an OpenCap mobile application (version 1.6, Model Health, Inc., Stanford University, USA) were mounted on adjustable tripods for motion capture, which has been confirmed to be sufficient for analyzing movements such as walking (<xref ref-type="bibr" rid="B22">22</xref>). The two iPhone cameras were positioned at approximately &#x00B1;30&#x00B0; from the walking direction, at a minimum distance of 3&#x2005;m from the movement space to reduce occlusion and ensure that the entire space was covered (<xref ref-type="bibr" rid="B22">22</xref>). These cameras operated at a frame rate of 60&#x2005;Hz and a resolution of 720&#x2009;&#x00D7;&#x2009;1,280 pixels to record walking videos.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Schematic diagram of the experiment. The entire system consisted of three main components: scene setup <bold>(A)</bold>, online network connection <bold>(B)</bold>, and motion capture video recording <bold>(C)</bold> The apparatus included two iPhones mounted on tripods with phone holders, a 210&#x2009;&#x00D7;&#x2009;175&#x2005;mm checkerboard (five rows, six columns, 35&#x2005;mm square size) printed on A4 paper, and a laptop running the OpenCap system. Balance beam walking (BBW) data acquisition involves motion space calibration <bold>(D)</bold>, human neutral posture calibration <bold>(E)</bold>, and walking video recording <bold>(F)</bold> The overground walking (OGW) experimental process was the same as BBW, with the balance beam replaced by 3&#x2005;m bright yellow tape on the floor.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1660112-g001.tif"><alt-text content-type="machine-generated">Diagram illustrating a motion capture setup and process. (A) Shows the setup with cameras positioned over three meters apart at 30-degree angles to a checkerboard target. (B) Displays a laptop for interconnection, indicating software and QR code interface. (C) Represents the recording phase with software displaying a digital checkerboard. (D-F) Sequential photos show two smartphones on tripods capturing a scene: a child walks on a balance beam in a room, with an adult assisting in the final frame.</alt-text>
</graphic>
</fig>
<p>Camera calibration and motion space calibration were performed before data acquisition, following the steps outlined below. First, OpenCap automatically loaded intrinsic parameters of algorithms related to the principal point, focal length, and distortion parameters of the two camera hardware units for camera calibration. Subsequently, a printed 210&#x2009;&#x00D7;&#x2009;175&#x2005;mm checkerboard (5 rows, 6 columns, 35&#x2005;mm square size) on A4 paper taped to plexiglass perpendicular to the ground was placed in the view of two cameras for motion space calibration (<xref ref-type="bibr" rid="B22">22</xref>). The calibration checkerboard&#x0027;s accuracy has been validated (<xref ref-type="bibr" rid="B22">22</xref>). Next, both cameras captured the participant&#x0027;s still neutral pose. OpenCap scaled a musculoskeletal model to the child&#x0027;s anthropometry using OpenSim&#x0027;s Scale tool, based on the anatomical marker positions derived from the neutral pose.</p>
<p>Prior to data acquisition, children underwent a familiarization block with the OGW and BBW trials to familiarize themselves with the experimental environment. Data acquisition involved two blocks. First, children were asked to walk normally along a bright yellow line on the ground for 3&#x2005;m. Then, they walked steadily from the starting point to the end of the beam. Both blocks require children to complete three trials at a comfortable pace employing a heel-to-toe walking pattern (<xref ref-type="bibr" rid="B23">23</xref>) and keeping arms naturally extended at their sides (<xref ref-type="bibr" rid="B24">24</xref>). A well-trained investigator closely monitored children throughout the process to prevent potential falls (<xref ref-type="bibr" rid="B24">24</xref>). If any child deviated from the marked line or showed any significant deviation at any point on the beam, the measurement was repeated to ensure the accuracy and completeness of the data. The experiment was carried out in a spacious indoor space with stable natural lighting to minimize external interference. All children were required to wear tight-fitting sportswear to ensure the accuracy of data collection and non-slip athletics shoes to ensure safety.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Data processing</title>
<p>Upon completion of the walking capture, the recorded videos were automatically uploaded to OpenCap&#x0027;s web application. The built-in algorithm code automatically computed the three-dimensional marker positions and joint kinematics and output them in an OpenSim file format. Subsequently, based on muscle-driven simulation of joint kinematics, the kinetic parameters were estimated using the OpenCap processing library. The accuracy of OpenCap&#x0027;s kinematic and kinetic estimates has been validated against gold standard marker-based motion capture and force plates (<xref ref-type="bibr" rid="B22">22</xref>). The processing environment included Python (version 3.8, Python Software Foundation) and OpenSim (version 4.5, Stanford University, USA).</p>
<p>To minimize the influence of random variability, three consecutive gait cycles were selected. For the comparison of continuous time-series variables, the reaction forces at the hip, knee, and ankle joints were normalized as percentages of the gait cycle (101 data points, ranging from 0&#x0025; to 100&#x0025;). The gait cycle was defined as the interval between the heel-strike of a given foot and its subsequent heel-strike (<xref ref-type="bibr" rid="B25">25</xref>). Data were filtered using a second-order low-pass Butterworth filter with a cutoff frequency of 6&#x2005;Hz (<xref ref-type="bibr" rid="B26">26</xref>). Both normalization and filtering processes were performed using Python.</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Statistical analyses</title>
<p>This study analyzed one-dimensional time series of joint reaction force throughout the gait cycle. We employed Python (v3.8, Python Software Foundation) software for data statistical tests. The code utilized one-dimensional statistical parametric mapping (spm1d) developed by Pataky (<xref ref-type="bibr" rid="B27">27</xref>) based on random field theory. Shapiro&#x2013;Wilk test within the script was performed to assess the normality of the data distribution. Paired <italic>t</italic>-test with a non-parametric approach (SnPM) were performed to analyze and compare hip, knee, and ankle joint reaction force between OGW and BBW. Data visualization and plotting were performed using Origin software (v 2024, OriginLab Corporation, Inc., Northampton, MA). The statistical significance was set at 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p>Schematic diagrams of the medial and lateral reaction forces at the hip, knee, and ankle joints are shown in <xref ref-type="fig" rid="F2">Figure&#x00A0;2A<sub>1</sub>&#x2013;A<sub>3</sub></xref>. Under the BBW condition, the non-dominant hip joint (<xref ref-type="fig" rid="F2">Figure&#x00A0;2B<sub>1</sub></xref>) exhibited greater medial reaction forces from loading response to mid-stance at 4.82&#x2013;28.72&#x0025; (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.001), from initial swing to mid-swing at 68.99&#x2013;74.11&#x0025; (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.031), and during the terminal swing phase at 98.91&#x2013;100.00&#x0025; (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.039), whereas the dominant hip joint (Figure&#x00A0;2B<sub><xref ref-type="fig" rid="F2">2</xref></sub>) showed no significant differences. Compared with the dominant knee, the non-dominant knee joint (<xref ref-type="fig" rid="F2">Figure&#x00A0;2C</xref><sub><xref ref-type="fig" rid="F1">1</xref></sub><bold>)</bold> exhibited lower lateral reaction forces during the transition phase from initial swing to mid-swing at 70.34&#x2013;81.81&#x0025; of the gait cycle (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.018). Under the OGW condition, the non-dominant knee joint exhibited a negative reaction force at 70.34&#x0025; of the gait cycle, indicating that the reaction force acted on the lateral side. However, under the BBW condition, the knee reaction force exhibited a slower transition from the medial side to the lateral side at 79&#x0025; of the gait cycle. Under both conditions, no significant differences in reaction forces were observed at the dominant knee joint (<xref ref-type="fig" rid="F2">Figure&#x00A0;2C<sub>2</sub></xref>) or ankle joint (<xref ref-type="fig" rid="F2">Figure&#x00A0;2D<sub>1</sub>,D<sub>2</sub></xref>).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Schematic diagram of balance beam walking and hip <bold>(A<sub>1</sub>)</bold>, knee <bold>(A<sub>2</sub>)</bold>, and ankle <bold>(A<sub>3</sub>)</bold> medial-lateral reaction force. One-dimensional time series curves of joint reaction force on the non-dominant and dominant hip <bold>(B<sub>1</sub>,B<sub>2</sub>)</bold>, knee <bold>(C<sub>1</sub>,C<sub>2</sub>)</bold> and ankle (<bold>D<sub>1</sub>,D<sub>2</sub>)</bold> joint during the gait cycle under the balance beam walking (BBW) and overground walking (OGW). The shaded gray bar areas indicate the specific phase differences of the gait cycle. The <italic>p</italic>-value indicates statistical significance.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1660112-g002.tif"><alt-text content-type="machine-generated">Skeletal model illustrating hip, knee, and ankle with directional axes. Graphs show joint reaction forces at non-dominant and dominant hip, knee, and ankle across gait cycles. Comparisons between BBW and OGW indicated with significant p-values.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>By comparing the joint reaction forces in the frontal plane under BBW and OGW conditions, we found that 4-year-old children exhibited a unilateral loading shift strategy during dynamic balance control tasks. Children enhanced control of lateral body stability by increasing reaction forces in the mediolateral direction of the non-dominant lower limb (especially the hip and knee joints), thereby maintaining balance. Such adjustments were mainly reflected in the regulation of unilateral lower limb loading rather than symmetric regulation of bilateral loading, indicating a compensatory gait pattern characterized by unilateral regulation and contralateral coordination.</p>
<p>BBW is a functional task that requires highly precise control and regulation of balance and is commonly used to assess motor coordination and stability (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Compared to normal walking, unstable gait tends to cause the trunk to sway laterally (<xref ref-type="bibr" rid="B30">30</xref>), which is negatively correlated with age (<xref ref-type="bibr" rid="B31">31</xref>). This instability is particularly pronounced in tasks requiring balance adjustments (<xref ref-type="bibr" rid="B32">32</xref>). Previous studies have shown that gait stability can be maintained across different movement patterns through the coordinated action of the hip, knee, and ankle joints along with their muscle synergies (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>As the primary connection between the trunk and lower limbs, the hip joint serves to generate and transmit force (<xref ref-type="bibr" rid="B34">34</xref>). When walking conditions change, gait patterns consequently alter (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Previous studies have shown that a wider step helps improve lateral stability (<xref ref-type="bibr" rid="B37">37</xref>), while a narrower step width increases hip joint reaction forces (<xref ref-type="bibr" rid="B38">38</xref>). In the current study, the non-dominant hip joint exhibited greater reaction forces at the early and late swing phases under the BBW condition, which is consistent with the findings of previous studies (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). The reaction force of the non-dominant knee was negative under OGW, indicating that the knee joint was subjected to a force in the medial direction, whereas the reaction force of the left knee gradually transitioned from the lateral to the medial side under BBW, exhibiting a slower transition pattern. Previous studies have found that changes in gait patterns lead to shifts in joint loading patterns (<xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>), such as a slower transition from the stance to the swing phase and a significant increase of double support time, thereby reducing joint pressure and avoiding rapid loading impacts to prevent joint injuries (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). The knee joint is primarily responsible for absorbing impact and transmitting ground reaction forces, playing a critical role in overall balance adjustment and fine-tuning of gait during dynamic balance tasks (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Compared to the hip and ankle joints, the knee joint has a smaller range of motion in the frontal plane and therefore has limited direct control over balance. Its main function is to assist in maintaining postural control (<xref ref-type="bibr" rid="B47">47</xref>). Gait adjustment can reduce knee varus moment and medial reaction force, but with little effect on the overall reaction force (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>The reaction forces at the dominant hip and knee joint did not vary significantly under OGW and BBW conditions. Typically, healthy preschoolers exhibit symmetrical gait patterns when walking normally. However, changes in walking conditions lead to increased unilateral limb loading, resulting in significant gait asymmetry (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Subsequently, this asymmetry affects the symmetry of the hip joint reaction forces (<xref ref-type="bibr" rid="B52">52</xref>). Changes in gait patterns may lead to variability in hip joint loading peaks and the occurrence (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B53">53</xref>), thereby forming continuous, unstructured adaptive patterns rather than abrupt changes (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B54">54</xref>). This decentralized loading regulation strategy may reflect that preschool children have not yet established mature motor control patterns in functional tasks of higher difficulty, as evidenced by the dominant hip joint assuming a higher functional role in synergistic regulation. Studies have shown that the dominant leg exhibits more pronounced regulatory functions, while the non-dominant leg contributes more to support assistance, resulting in a unilateral regulation and contralateral assistance gait pattern (<xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>Joint loading is influenced by joint kinematics, muscle activation, and neuromuscular control. The greater the joint loading, the higher the gait variability (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Variations in joint loading appear to be induced by gait variability, but from a control theory perspective, this variability actually reflects the presence of motor redundancy (<xref ref-type="bibr" rid="B58">58</xref>). When attempting to perform a motor task, children regulate through various muscle combinations and movement patterns to achieve the same motor goal (<xref ref-type="bibr" rid="B59">59</xref>). By increasing antagonist muscle activity, dynamic knee joint stiffness is improved, thereby overcoming knee joint instability (<xref ref-type="bibr" rid="B60">60</xref>). Typically, ankle control strategies serve as the primary mechanism for adults to counteract environmental disturbances (<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>). However, preschoolers exhibit weaker ankle dorsiflexion and inversion-eversion regulatory capabilities, along with differences in muscle activation patterns (<xref ref-type="bibr" rid="B63">63</xref>). When faced with unstable conditions, children&#x0027;s ankle joints cannot perform fine-tuning adjustments as effectively as adults (<xref ref-type="bibr" rid="B64">64</xref>). Moderate motor variability is not a sign of control failure but rather reflects children&#x0027;s continuous adjustments and optimization of movement patterns in response to environmental conditions. However, long-term irregular distribution of loading on the lower limbs may cause excessive pressure on joints, impairing their ability to absorb impact and ultimately resulting in joint injury, such as osteoarthritis and fractures (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>The core challenge of beam walking lies in maintaining lateral balance on a narrow support surface (<xref ref-type="bibr" rid="B28">28</xref>). Lateral stability is crucial for dynamic balance regulation in gait (<xref ref-type="bibr" rid="B67">67</xref>), and the coordination of the hip, knee, and ankle joints and associated muscles significantly influences the adjustment of the center of gravity in the frontal plane (<xref ref-type="bibr" rid="B68">68</xref>). The primary mechanism for adults to counteract interference conditions is ankle control strategies, whereas this study found that 4-year-old children seem to prefer hip control strategies for beam walking. This has important implications for understanding the overall balance control mechanisms and injury prevention in preschoolers.</p>
</sec>
<sec id="s5"><label>5</label><title>Limitation</title>
<p>Assessing functional gait tasks through joint reaction forces enables a more comprehensive understanding of preschool children&#x0027;s balance control strategies from a biomechanical perspective. As a functional training tool, beam walking places emphasis on continuity and prevention of excessive lateral sway. This facilitates targeted rehabilitation training for preschool children with impaired gait function. Cognition and attention may influence balance performance (<xref ref-type="bibr" rid="B69">69</xref>), which was not considered in the present study, representing a limitation that warrants attention. Cognitive processes related to balance in children vary across tasks, influenced by perceptual characteristics and task specificity. When children focus on task completion, these processes alter gait patterns, thereby increasing gait variability. Children with superior balance abilities tend to perform tasks more efficiently (<xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>). However, this relationship requires further confirmation in preschool children. Integrating electroencephalography or eye-tracking technology could analyze the neural mechanisms linking attentional allocation with gait variability in depth (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B72">72</xref>). This may provide a more comprehensive neurocentral perspective for investigating functional gait task control strategies in preschool children.</p>
</sec>
<sec id="s6" sec-type="conclusions"><label>6</label><title>Conclusion</title>
<p>Beam walking in 4-year-old children significantly increased the demand for loading regulation in the non-dominant lower limb joints, and the motor control strategies demonstrated pronounced asymmetry. In functional tasks, preschoolers require greater joint loading regulation capabilities to maintain body stability. Children&#x0027;s neuromuscular control system is still developing at this age, but they have already acquired a certain degree of adaptability.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Zhejiang Normal University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x0027; legal guardians/next of kin. Written informed consent was obtained from the individual(s), and minor(s)&#x0027; legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s9" sec-type="author-contributions"><title>Author contributions</title>
<p>JP: Investigation, Conceptualization, Writing &#x2013; review &#x0026; editing, Formal analysis, Visualization, Writing &#x2013; original draft, Methodology, Software, Data curation, Validation. ZX: Formal analysis, Investigation, Software, Writing &#x2013; review &#x0026; editing, Data curation, Methodology. XH: Data curation, Software, Methodology, Investigation, Writing &#x2013; review &#x0026; editing, Formal analysis. WZ: Resources, Writing &#x2013; original draft, Investigation, Conceptualization, Writing &#x2013; review &#x0026; editing. QY: Resources, Writing &#x2013; original draft, Funding acquisition, Conceptualization, Investigation, Writing &#x2013; review &#x0026; editing. XR: Software, Investigation, Writing &#x2013; original draft, Conceptualization, Resources, Visualization, Formal analysis, Validation, Writing &#x2013; review &#x0026; editing, Methodology, Supervision, Project administration.</p>
</sec>
<sec id="s10" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was funded by the National Nature Science Foundation of China (No. 82472154). The funding sources have no role in the study design, data collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We would like to thank the guardians of the participants for their support of the experiment.</p>
</ack>
<sec id="s11" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s19" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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