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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1646147</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Alarming low adherence to the 24-Hour Movement Behavior in adolescents &#x2014; the Cogni-Action Project</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Rojas-Araya</surname>
<given-names>Luis Felipe</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3083155/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Espinoza-Puelles</surname>
<given-names>Juan Pablo</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2616996/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ferrari</surname>
<given-names>Gerson</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1598137/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Toledo-Vargas</surname>
<given-names>Marcelo</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2948650/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aguilar-Farias</surname>
<given-names>Nicolas</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1073879/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cristi-Montero</surname>
<given-names>Carlos</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/598360/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Departamento de Ciencias Biom&#x00E9;dicas, Universidad de Le&#x00F3;n</institution>, <addr-line>Le&#x00F3;n</addr-line>, <country>Spain</country></aff>
<aff id="aff2"><sup>2</sup><institution>Carrera de Pedagog&#x00ED;a en Educaci&#x00F3;n F&#x00ED;sica, Facultad de Educaci&#x00F3;n, Universidad Aut&#x00F3;noma de Chile</institution>, <addr-line>Talca</addr-line>, <country>Chile</country></aff>
<aff id="aff3"><sup>3</sup><institution>Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ib&#x00E1;&#x00F1;ez</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff4"><sup>4</sup><institution>IRyS Group, Physical Education School, Pontificia Universidad Cat&#x00F3;lica de Valpara&#x00ED;so</institution>, <addr-line>Vi&#x00F1;a del Mar</addr-line>, <country>Chile</country></aff>
<aff id="aff5"><sup>5</sup><institution>Universidad de Santiago de Chile (USACH), Escuela de Ciencias de la Actividad F&#x00ED;sica, el Deporte y la Salud</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff6"><sup>6</sup><institution>Facultad de Ciencias de la Salud, Universidad Aut&#x00F3;noma de Chile</institution>, <addr-line>Providencia</addr-line>, <country>Chile</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Physical Education, Sports and Recreation, Universidad de La Frontera</institution>, <addr-line>Temuco</addr-line>, <country>Chile</country></aff>
<aff id="aff8"><sup>8</sup><institution>School of Social Sciences, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong</institution>, <addr-line>Wollongong, NSW</addr-line>, <country>Australia</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/141678/overview">Gabriel Gustavo Bergmann</ext-link>, Federal University of Pampa, Brazil</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1274758/overview">Evelyn Frias-Toral</ext-link>, Texas State University, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2593660/overview">Wissal Abassi</ext-link>, University of Jendouba, Tunisia</p></fn>
<corresp id="c001">&#x002A;Correspondence: Carlos Cristi-Montero, <email>carlos.cristi.montero@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1646147</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Rojas-Araya, Espinoza-Puelles, Ferrari, Toledo-Vargas, Aguilar-Farias and Cristi-Montero.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Rojas-Araya, Espinoza-Puelles, Ferrari, Toledo-Vargas, Aguilar-Farias and Cristi-Montero</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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 id="sec1">
<title>Background</title>
<p>Unhealthy movement behaviors are a critical concern, particularly in developing countries and regions like Latin America. Evaluating adherence to the 24-Hour Movement Behavior (24-HMB) through a combination of objective and self-reported measures of moderate-to-vigorous physical activity (MVPA), adequate sleep duration (SD), and limited sedentary time (ST) is essential for understanding the interplay among these behaviors during adolescence.</p>
</sec>
<sec id="sec2">
<title>Objective</title>
<p>This cross-sectional study aimed to assess adherence to the 24-HMB among Chilean adolescents aged 10&#x2013;14&#x202F;years and explore differences by age and sex.</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>A total of 359 participants (53.48% girls) wore accelerometers to objectively measure compliance with the recommended 60&#x202F;min of MVPA per day, as well as appropriate SD (9&#x2013;11&#x202F;h for ages 10&#x2013;13 and 8&#x2013;10&#x202F;h for age 14). ST was assessed through self-reported data (&#x2264;2&#x202F;h/day).</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>Compliance with the MVPA, SD, and ST recommendations was achieved by 0.84, 4.74, and 70.47% of participants, respectively. When combining guidelines, only 0.56% of participants met both the ST and MVPA recommendations, while 3.90% adhered to both the ST and SD recommendations. Notably, no participants met both the SD and MVPA guidelines, nor did any fulfill all three movement guidelines. Finally, no significant differences were observed by sex or age.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>These findings underscore the alarmingly low adherence to the 24-HMB among this sample of adolescents, highlighting the urgent need for targeted public health interventions. The study advocates for policymakers to adopt an integrated approach to promote healthy behaviors, addressing them collectively rather than in isolation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>24-hour activity cycle</kwd>
<kwd>exercise</kwd>
<kwd>sleep quality</kwd>
<kwd>sedentary behavior</kwd>
<kwd>wearables</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="23"/>
<page-count count="6"/>
<word-count count="3814"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Children and Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<title>Introduction</title>
<p>South American adolescents&#x2019; lifestyle behaviors often coexist negatively, particularly regarding movement behaviors, with a notable impact on girls and a tendency to worsen with age (<xref ref-type="bibr" rid="ref1">1</xref>). In Chile, this pattern is reflected in the findings of the most recent National Survey on Physical Activity and Sport, which reported that only 3 out of 10 children and adolescents aged 5 to 17&#x202F;years meet the minimum physical activity recommendation (<xref ref-type="bibr" rid="ref2">2</xref>). The 24-Hour Movement Behavior (24-HMB) provides an evidence-based framework that integrates moderate-to-vigorous physical activity (MVPA), adequate sleep duration (SD), and limited sedentary time (ST) to promote healthy lifestyles and optimize health outcomes in this population (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). It is essential to examine 24-HMB in an integrated manner to fully understand its cumulative impact on adolescent health. Numerous studies have demonstrated that these behaviors do not operate independently; rather, they interact with each other, jointly influencing physical, mental, and cognitive well-being. In this context, a recent meta-analysis (<xref ref-type="bibr" rid="ref5">5</xref>) revealed that adolescents who simultaneously meet all three recommendations of the 24-HMB framework exhibit more favorable levels of adiposity, cardiometabolic health, psychological well-being, academic performance, and quality of life compared to their peers who do not. These findings reinforce the importance of evaluating these behaviors collectively rather than in isolation, particularly in settings where adherence rates are low (<xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref7">7</xref>). Adherence to these guidelines is consistently linked to benefits such as reduced adiposity, improved fitness, enhanced well-being, better quality of life, and superior cognitive performance (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>Supporting this concern, a recent study involving 10,574 children aged 9&#x2013;11&#x202F;years found that only 49% met sleep duration guidelines, 35% met screen time recommendations, and only 17% met physical activity guidelines. Alarmingly, only 4% of the participants met all three 24-HMB recommendations, whereas 31% did not meet any (<xref ref-type="bibr" rid="ref8">8</xref>). These results highlight the global challenge of promoting healthy movement behaviors among youth and reinforce the need for objective, context-specific data.</p>
<p>A recent meta-analysis of over 387,000 youth aged preschool to adolescence across 23 countries found that only 7.12% met all three components of the movement guidelines. In South America, adherence was even lower, with only 2.93% of youth meeting the guidelines, and compliance was positively correlated with each country&#x2019;s Human Development Index (<xref ref-type="bibr" rid="ref9">9</xref>). These findings highlight a significant gap in adherence to essential health guidelines, particularly in developing countries. Moreover, much of the evidence relies on self-reported data from Latin American adolescents, which is prone to bias and inaccuracies (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). Moreover, significant methodological limitations persist, such as the use of self-reported data, cross-sectional study designs, and the lack of standardized measurement protocols, all of which may compromise the accuracy of the findings of these studies. In this context, the present study provides more robust evidence by objectively assessing physical activity and sleep through accelerometry, thereby reducing bias and enhancing data quality (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Chile, a nation undergoing epidemiological and socioeconomic transitions, provides a unique context for examining these behaviors. Assessing adherence to the three movement-related health guidelines during adolescence (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref11">11</xref>) offers valuable insights for shaping policies and educational interventions tailored to the realities of developing countries. This study aimed to determine adherence to the 24-HMB among Chilean adolescents and to explore potential age and sex differences.</p>
</sec>
<sec sec-type="methods" id="sec7">
<title>Methodology</title>
<p>This cross-sectional study, part of the Cogni-Action Project (<xref ref-type="bibr" rid="ref12">12</xref>), was conducted between March 2017 and October 2019, following the STROBE guidelines and was approved by the Bioethics Committee of the Pontificia Universidad Cat&#x00F3;lica de Valpara&#x00ED;so, Chile. Informed consent was obtained from school principals, parents, and participants. The project initially included 1,296 adolescents (50% girls) aged 10 to 14&#x202F;years. A subsample of 436 schoolchildren, determined through power estimation, was instructed to wear an accelerometer (<xref ref-type="bibr" rid="ref12">12</xref>). For this subsample, an appropriate sample size of 436 participants was estimated, based on a 5% alpha error, a 99% confidence interval, 50% heterogeneity, and an expected 20% dropout rate (<xref ref-type="bibr" rid="ref12">12</xref>). After excluding participants without valid accelerometry data, the final sample included 359 adolescents.</p>
<sec id="sec8">
<title>24-hour movement guidelines</title>
<p>Participants were evaluated at school during two visits, eight days apart, conducted by trained instructors. During the first visit, sociodemographic characteristics and body composition were assessed (<xref ref-type="table" rid="tab1">Table 1</xref>). Participants were also provided with accelerometers to evaluate their MVPA and SD. During the second visit, trained professionals administered a standardized questionnaire to evaluate ST. Accelerometers were collected at the end of the second visit.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Descriptive characteristics of the participants and prevalence of the three 24-HMB.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Overall<break/>(<italic>n</italic>&#x202F;=&#x202F;359)</th>
<th align="center" valign="top">Boys<break/>(<italic>n</italic>&#x202F;=&#x202F;167)</th>
<th align="center" valign="top">Girls<break/>(<italic>n</italic>&#x202F;=&#x202F;192)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="middle">12.0&#x202F;&#x00B1;&#x202F;1.1</td>
<td align="center" valign="middle">11.9&#x202F;&#x00B1;&#x202F;1.1</td>
<td align="center" valign="middle">12.1&#x202F;&#x00B1;&#x202F;1.1</td>
<td align="center" valign="middle">0.314</td>
</tr>
<tr>
<td align="left" valign="top">Weight (kg)</td>
<td align="center" valign="middle">50.2&#x202F;&#x00B1;&#x202F;11.7</td>
<td align="center" valign="middle">50.1&#x202F;&#x00B1;&#x202F;12.5</td>
<td align="center" valign="middle">50.4&#x202F;&#x00B1;&#x202F;11</td>
<td align="center" valign="middle">0.825</td>
</tr>
<tr>
<td align="left" valign="top">Height (cm)</td>
<td align="center" valign="middle">153&#x202F;&#x00B1;&#x202F;9.1</td>
<td align="center" valign="middle">154&#x202F;&#x00B1;&#x202F;10.5</td>
<td align="center" valign="middle">153&#x202F;&#x00B1;&#x202F;7.7</td>
<td align="center" valign="middle">0.171</td>
</tr>
<tr>
<td align="left" valign="top">Waist (cm)</td>
<td align="center" valign="middle">68.4&#x202F;&#x00B1;&#x202F;8.6</td>
<td align="center" valign="middle">69.6&#x202F;&#x00B1;&#x202F;8.7</td>
<td align="center" valign="middle">67.3&#x202F;&#x00B1;&#x202F;8.3</td>
<td align="center" valign="middle"><bold>0.010</bold></td>
</tr>
<tr>
<td align="left" valign="top">Body mass index (kg/m<sup>2</sup>)</td>
<td align="center" valign="middle">21.2&#x202F;&#x00B1;&#x202F;3.7</td>
<td align="center" valign="middle">20.9&#x202F;&#x00B1;&#x202F;3.6</td>
<td align="center" valign="middle">21.4&#x202F;&#x00B1;&#x202F;3.7</td>
<td align="center" valign="middle">0.156</td>
</tr>
<tr>
<td align="left" valign="top">Waist-to-height ratio</td>
<td align="center" valign="middle">0.45&#x202F;&#x00B1;&#x202F;0.05</td>
<td align="center" valign="middle">0.45&#x202F;&#x00B1;&#x202F;0.05</td>
<td align="center" valign="middle">0.44&#x202F;&#x00B1;&#x202F;0.05</td>
<td align="center" valign="middle"><bold>0.041</bold></td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Meeting recommendations</td>
</tr>
<tr>
<td align="left" valign="top">Only MVPA</td>
<td align="center" valign="middle">3 (0.84%)</td>
<td align="center" valign="middle">3 (1.8%)</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">0.062</td>
</tr>
<tr>
<td align="left" valign="top">Only Sleep duration</td>
<td align="center" valign="middle">17 (4.74%)</td>
<td align="center" valign="middle">11 (6.59%)</td>
<td align="center" valign="middle">6 (3.13%)</td>
<td align="center" valign="middle">0.123</td>
</tr>
<tr>
<td align="left" valign="top">Only Screen time</td>
<td align="center" valign="middle">253 (70.47%)</td>
<td align="center" valign="middle">111 (66.47%)</td>
<td align="center" valign="middle">142 (73.96%)</td>
<td align="center" valign="middle">0.121</td>
</tr>
<tr>
<td align="left" valign="top">MVPA + Sleep duration</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">N/A</td>
</tr>
<tr>
<td align="left" valign="top">MVPA + Screen time</td>
<td align="center" valign="middle">2 (0.56%)</td>
<td align="center" valign="middle">2 (1.2%)</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">0.128</td>
</tr>
<tr>
<td align="left" valign="top">Sleep + Screen time</td>
<td align="center" valign="middle">14 (3.9%)</td>
<td align="center" valign="middle">10 (5.99%)</td>
<td align="center" valign="middle">4 (2.08%)</td>
<td align="center" valign="middle">0.057</td>
</tr>
<tr>
<td align="left" valign="top">All Three</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">0 (0.0%)</td>
<td align="center" valign="middle">N/A</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><xref ref-type="table" rid="tab1">Table 1</xref> provides demographic data by sex and associated <italic>p</italic>-values, with significant values in bold, calculated using the Student&#x2019;s t-test for continuous variables and the chi-square test for categorical variables. Data are expressed as mean &#x00B1; standard deviation or frequency (percentage). MVPA: moderate vigorous physical activity; SD: sleep duration; ST: screen time; N/A: insufficient data for comparison.</p>
</table-wrap-foot>
</table-wrap>
<p>MVPA and SD were assessed using an accelerometer (ActiGraph GT3X, Pensacola, USA) worn on the right hip for 7&#x202F;days. Raw acceleration data (100&#x202F;Hz) were processed in R using the GGIR package version 3.0&#x2013;2 (<xref ref-type="bibr" rid="ref13">13</xref>). MVPA was defined using hip-based cut-off points for the Euclidean Norm Minus One (ENMO) metric (<xref ref-type="bibr" rid="ref14">14</xref>), and SD was estimated using the HorAngle algorithm for hip-worn devices implemented in GGIR (<xref ref-type="bibr" rid="ref15">15</xref>). Adolescents who wore the device for at least 16&#x202F;h per day on at least 4&#x202F;days per week, including a minimum of three weekdays and one weekend day, were considered to have valid accelerometry recordings and were included in the analysis (359 adolescents) (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Participants met the PA and SD guidelines if they accumulated at least 60&#x202F;min of MVPA per day and achieved 9&#x2013;11&#x202F;h of SD for ages 10&#x2013;13 or 8&#x2013;10&#x202F;h for age 14, respectively (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). They were categorized as meeting the ST guidelines if they spent &#x2264;2&#x202F;h per day on sedentary recreational screen time (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). ST was assessed using the Godard questionnaire, which accounts for time spent watching television, using a computer, and playing video games (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
</sec>
<sec id="sec9">
<title>Statistical analysis</title>
<p>Continuous variables were reported as means or medians, and categorical variables as percentages. Proportions meeting the criteria by sex and age were compared using the chi-square test. Compliance proportions are displayed in a Venn diagram (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Statistical significance was set at <italic>p</italic>&#x202F;&#x2264;&#x202F;0.05.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Venn diagrams illustrating the proportion (%) of boys, girls, and all participants meeting 24-HMB. MVPA: moderate-to-vigorous physical activity, ST: screen time, SD: sleep duration, and all possible combinations.</p></caption>
<graphic xlink:href="fpubh-13-1646147-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three Venn diagrams display overlapping categories of MVPA (Moderate to Vigorous Physical Activity), Screen Time, and Sleep Duration. The first diagram is labeled &#x201C;All sample&#x201D; with n = 359, showing most overlap between Screen Time and Sleep Duration. The second is &#x201C;Boys&#x201D; with n = 167, indicating more overlap between all three variables. The third is &#x201C;Girls&#x201D; with n = 192, showing minimal overlap with more emphasis on Screen Time. Each Venn diagram is encircled by icons representing the activities.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="results" id="sec10">
<title>Results</title>
<p>Descriptive characteristics and adherence to the 24-HMB guidelines are presented in <xref ref-type="table" rid="tab1">Table 1</xref>. Of the 359 adolescents included in the study, 53.48% were girls. Only 0.84% met the MVPA recommendation, 4.74% met the SD guideline, and 70.47% adhered to the ST recommendation. None of the participants met all three guidelines simultaneously, nor did any meet both MVPA and SD. Only 0.56% met both MVPA and ST, and 3.90% met both SD and ST. Moreover, no significant sex-based differences were observed in adherence to MVPA (<italic>p</italic> =&#x202F;0.062), SD (<italic>p</italic> =&#x202F;0.123), ST (<italic>p</italic> =&#x202F;0.121), MVPA + ST (<italic>p</italic> =&#x202F;0.128), or SD&#x202F;+&#x202F;ST (<italic>p</italic> =&#x202F;0.057). Age-specific analysis showed that none of the adolescents aged 10, 12, or 14&#x202F;years met the MVPA guideline, while one 11-year-old and two 13-year-olds did. The highest compliance rates for SD and ST were observed at ages 14 (25.9%) and 11 (83.0%), respectively (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Adherence to the three 24-Hour Movement Behavior components and their combinations, reported by age.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="9">Percentage of meeting 24-HMB according to age</th>
</tr>
<tr>
<th align="left" valign="top">Age<break/>subgroups</th>
<th align="center" valign="top"><italic>n</italic><break/>(%)</th>
<th align="center" valign="top">Only MVPA%</th>
<th align="center" valign="top">Only SD %</th>
<th align="center" valign="top">Only ST %</th>
<th align="center" valign="top">MVPA+ SD %</th>
<th align="center" valign="top">MVPA+ ST %</th>
<th align="center" valign="top">SD+ ST %</th>
<th align="center" valign="top">All Three %</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">10</td>
<td align="center" valign="middle">45 (12.53)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">1 (2.22)</td>
<td align="center" valign="middle">35 (77.78)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">1 (2.22)</td>
<td align="center" valign="middle">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="middle">11</td>
<td align="center" valign="middle">53 (14.76)</td>
<td align="center" valign="middle">1 (1.89)</td>
<td align="center" valign="middle">3 (5.66)</td>
<td align="center" valign="middle">44 (83.02)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">1 (1.89)</td>
<td align="center" valign="middle">3 (5.66)</td>
<td align="center" valign="middle">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="middle">12</td>
<td align="center" valign="middle">144 (40.11)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">5 (3.47)</td>
<td align="center" valign="middle">95 (65.97)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">4 (2.78)</td>
<td align="center" valign="middle">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="middle">13</td>
<td align="center" valign="middle">90 (25.07)</td>
<td align="center" valign="middle">2 (2.22)</td>
<td align="center" valign="middle">1 (1.11)</td>
<td align="center" valign="middle">61 (67.78)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">1 (1.11)</td>
<td align="center" valign="middle">1 (1.11)</td>
<td align="center" valign="middle">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="middle">14</td>
<td align="center" valign="middle">27 (7.52)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">7 (25.93)</td>
<td align="center" valign="middle">18 (66.67)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">5 (18.52)</td>
<td align="center" valign="middle">0 (0.0)</td>
</tr>
<tr>
<td align="left" valign="middle">All age</td>
<td align="center" valign="middle">359 (100.0)</td>
<td align="center" valign="middle">3 (0.84)</td>
<td align="center" valign="middle">17 (4.74)</td>
<td align="center" valign="middle">253 (70.47)</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">2 (0.56)</td>
<td align="center" valign="middle">14 (3.9)</td>
<td align="center" valign="middle">0 (0.0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><xref ref-type="table" rid="tab2">Table 2</xref> summary of adherence to the 24-Hour Movement Behavior components by age group.</p>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, the Venn diagram visually illustrates the limited overlap between the three behaviors. Most participants met only the ST guideline, while very few met combinations of two behaviors, and none met all three. This visual representation reinforces the low overall adherence to the integrated 24-HMB guidelines and highlights the need for targeted interventions to promote balanced movement behaviors among adolescents.</p>
</sec>
<sec sec-type="discussion" id="sec11">
<title>Discussion</title>
<p>The results of this study revealed alarmingly low adherence to the 24-HMB among Chilean adolescents, consistent with global findings, particularly in South America, where low adherence rates are prevalent (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). Furthermore, this trend appears to extend across both boys and girls, regardless of age.</p>
<p>Addressing adherence to the 24-HMB requires an integrated approach that considers the recommendations as interconnected components rather than isolated targets (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Physical activity, sedentary behavior, and sleep are intrinsically linked, and interventions should prioritize strategies that promote a balanced daily routine (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). For instance, excessive screen time may not only reduce physical activity but also disrupt sleep patterns, amplifying the negative health outcomes (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). This highlights the importance of designing comprehensive interventions that simultaneously address all three recommendations, ensuring they complement rather than compete with one another (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
<p>This study provides evidence of low adherence to the guidelines across all demographic subgroups, with no significant differences observed by sex or age. This uniformity suggests that interventions should target the entire adolescent population rather than focusing on specific subgroups. Furthermore, the findings suggest that systemic and cultural barriers may be influencing adherence at a population level.</p>
<p>Contextual factors may help explain these low adherence rates. Chilean adolescents report low levels of active transport and social support, alongside socioeconomic challenges such as income inequality and child poverty (<xref ref-type="bibr" rid="ref18">18</xref>). These structural barriers likely constrain the adoption of healthy movement behaviors, underscoring the importance of context-sensitive public health strategies. In light of these findings, we propose three actionable recommendations: incorporating daily physical education into the school curriculum to ensure equitable access to physical activity; regulating screen time through coordinated school-family partnerships that promote consistent routines; and implementing sleep hygiene education programs targeting both adolescents and their caregivers. These strategies, grounded in the local context, may help foster healthier 24-h movement patterns and reduce disparities in health outcomes.</p>
<sec id="sec12">
<title>Strengths and limitations</title>
<p>This study stands out for its use of objective accelerometry to assess MVPA and SD, combined with validated self-report for ST, offering a comprehensive evaluation of 24-HMB adherence in Chilean adolescents. However, its cross-sectional design limits causal interpretations. ST was self-reported, which may introduce bias. The regional sample may limit generalizability.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec13">
<title>Conclusion</title>
<p>The alarmingly low adherence to the 24-HMB among Chilean adolescents underscores the urgent need for targeted policies and programs, particularly to increase MVPA and SD. Multifaceted interventions involving schools, families, and communities are essential to effectively address these gaps. This situation highlights the importance of public health efforts that focus on both movement-related and non-movement-related behaviors, fostering a more holistic approach to adolescent health.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<title>Data availability statement</title>
<p>The data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec15">
<title>Ethics statement</title>
<p>This study was approved by the Bioethics Committee of the Pontificia Universidad Cat&#x00F3;lica de Valpara&#x00ED;so, Chile. Informed consent was obtained from school principals, parents, and participants.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>LR-A: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JE-P: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. GF: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MT-V: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NA-F: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CC-M: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec17">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This &#x201C;Cogni-Action Project&#x201D; was supported by the National Commission for Scientific and Technological Research CONICYT/FONDECYT INICIACION 2016 grant no. 11160703. JE-P is supported by the National Agency for Research and Development (ANID)/Scholarship Program/DOCTORADO BECAS CHILE/2022 (Grant 21250152).</p>
</sec>
<ack>
<p>We thank the school principals, parents, and adolescents who supported this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec18">
<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 sec-type="ai-statement" id="sec19">
<title>Generative AI statement</title>
<p>The authors declare that Gen AI was used in the creation of this manuscript. Yes, it was used to improve writing and ideas.</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 sec-type="disclaimer" id="sec20">
<title>Publisher&#x2019;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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