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<front>
<journal-meta>
<journal-id journal-id-type="pmc">IJMHP</journal-id>
<journal-id journal-id-type="nlm-ta">IJMHP</journal-id>
<journal-id journal-id-type="publisher-id">IJMHP</journal-id>
<journal-title-group>
<journal-title>International Journal of Mental Health Promotion</journal-title>
</journal-title-group>
<issn pub-type="epub">2049-8543</issn>
<issn pub-type="ppub">1462-3730</issn>
<publisher>
<publisher-name>Tech Science Press</publisher-name>
<publisher-loc>USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">55351</article-id>
<article-id pub-id-type="doi">10.32604/ijmhp.2024.055351</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Linking 24-h Movement Behavior Guidelines to Cognitive Difficulties, Internalizing and Externalizing Problems in Preterm Youth</article-title><alt-title alt-title-type="left-running-head">Linking 24-Hour Movement Behavior Guidelines to Cognitive Difficulties, Internalizing and Externalizing Problems in Preterm Youth</alt-title><alt-title alt-title-type="right-running-head">Linking 24-Hour Movement Behavior Guidelines to Cognitive Difficulties, Internalizing and Externalizing Problems in Preterm Youth</alt-title>
</title-group>
<contrib-group>
<contrib id="author-1" contrib-type="author">
<name name-style="western"><surname>Cheng</surname><given-names>Zhihui</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-2" contrib-type="author">
<name name-style="western"><surname>Aikeremu</surname><given-names>Ailikute</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-3" contrib-type="author" corresp="yes">
<name name-style="western"><surname>Gao</surname><given-names>Yanping</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref><email>2200482021@email.szu.edu.cn</email>
</contrib>
<contrib id="author-4" contrib-type="author">
<name name-style="western"><surname>Zhang</surname><given-names>Zhihao</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-5" contrib-type="author">
<name name-style="western"><surname>Paoli</surname><given-names>Anthony G. Delli</given-names></name>
<xref ref-type="aff" rid="aff-2">2</xref>
</contrib>
<contrib id="author-6" contrib-type="author">
<name name-style="western"><surname>Cunha</surname><given-names>Paolo Marcello</given-names></name>
<xref ref-type="aff" rid="aff-3">3</xref>
</contrib>
<contrib id="author-7" contrib-type="author">
<name name-style="western"><surname>Taylor</surname><given-names>Alyx</given-names></name>
<xref ref-type="aff" rid="aff-4">4</xref>
</contrib>
<contrib id="author-8" contrib-type="author">
<name name-style="western"><surname>Herold</surname><given-names>Fabian</given-names></name>
<xref ref-type="aff" rid="aff-5">5</xref>
</contrib>
<contrib id="author-9" contrib-type="author">
<name name-style="western"><surname>Zou</surname><given-names>Liye</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<aff id="aff-1"><label>1</label><institution>Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University</institution>, <addr-line>Shenzhen, 518060</addr-line>, <country>China</country></aff>
<aff id="aff-2"><label>2</label><institution>Department of Kinesiology and Health, Rutgers University</institution>, <addr-line>New Brunswick, NJ 08901</addr-line>, <country>USA</country></aff>
<aff id="aff-3"><label>3</label><institution>Metropolitan University Center of Maring&#x00E1;</institution>, <addr-line>Maring&#x00E1;-PR, 87020</addr-line>, <country>Brazil</country></aff>
<aff id="aff-4"><label>4</label><institution>School of Health and Rehabilitation Sciences, AECC University College</institution>, <addr-line>Bournemouth, BH5 2DF</addr-line>, <country>UK</country></aff>
<aff id="aff-5"><label>5</label><institution>Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam</institution>, <addr-line>Potsdam, 14476</addr-line>, <country>Germany</country></aff>
</contrib-group><author-notes><corresp id="cor1"><label>&#x002A;</label>Corresponding Author: Yanping Gao. Email: <email>2200482021@email.szu.edu.cn</email></corresp></author-notes>
<pub-date date-type="collection" publication-format="electronic">
<year>2024</year></pub-date>
<pub-date date-type="pub" publication-format="electronic"><day>30</day><month>8</month><year>2024</year></pub-date>
<volume>26</volume>
<issue>8</issue>
<fpage>651</fpage>
<lpage>662</lpage>
<history>
<date date-type="received"><day>24</day><month>6</month><year>2024</year></date>
<date date-type="accepted"><day>09</day><month>8</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 The Authors.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Published by Tech Science Press.</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="TSP_IJMHP_55351.pdf"></self-uri>
<abstract>

<sec>
<title>Background</title>
<p>Given the heightened risk of developmental challenges associated with preterm birth, it is crucial to explore interventions that may ameliorate potential adverse outcomes. This study aimed to examine whether meeting the 24-h movement behavior (24-HMB) guidelines, which include recommendations on physical activity (PA), screen time (ST), and sleep (SL), is related to indicators of cognitive difficulties, internalizing problems (e.g., depression and anxiety), and externalizing problems (e.g., difficulties in making friends and arguing) in a sample of preterm youth (children and adolescents born preterm).</p></sec>
<sec>
<title>Method</title>
<p>In this cross-sectional study, data from 3410 preterm youth (aged 6 to 17 years) were included for data analyses. Multivariable logistic regression was used to investigate associations between meeting the 24-HMB guidelines and the above-mentioned health outcomes, while controlling for sociodemographic and health-related factors.</p></sec>
<sec>
<title>Results</title>
<p>The prevalence of meeting 24-HMB guidelines varied across independent and integrated components of the 24-HMB guidelines. Meeting the ST guideline alone (<italic>p</italic> &#x003C; 0.05) and integrated guidelines (i.e., ST &#x002B; SL and ST &#x002B; SL &#x002B; PA) were associated with fewer cognitive difficulties and reduced internalizing and externalizing problems (<italic>p</italic> &#x003C; 0.05). Specifically, meeting the SL guideline alone and integrated guidelines (i.e., SL &#x002B; ST) were associated with lower odds of depression and anxiety (<italic>p</italic> &#x003C; 0.01). Additionally, meeting independent, and integrated (PA and/or ST) guidelines were associated with less pronounced difficulties in making friends and arguing (<italic>p</italic> &#x003C; 0.05). Meeting 24-HMB guidelines in an isolated and integrated manner are linked to better cognitive performance and fewer internalizing and externalizing problems in preterm youth.</p></sec>
<sec>
<title>Conclusion</title>
<p>Results suggest that advocating for the implementation of the 24-HMB guidelines may reduce cognitive challenges and behavioral issues, which is of high relevance for improving public health. Future longitudinal studies in preterm youth should investigate how modifying specific 24-HMB behaviors, especially ST, influence cognitive difficulties, internalizing and externalizing problems in this vulnerable population.</p></sec>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Cognitive difficulties</kwd>
<kwd>externalizing problems</kwd>
<kwd>internalizing problems</kwd>
<kwd>physical activity</kwd>
<kwd>preterm youth</kwd>
</kwd-group>
<funding-group>
<award-group id="awg1">
<funding-source>Shenzhen Educational Research</funding-source>
<award-id>zdzb2014</award-id>
</award-group>
<award-group id="awg2">
<funding-source>Shenzhen Science and Technology Innovation</funding-source>
<award-id>202307313000096</award-id>
</award-group>
<award-group id="awg3">
<funding-source>Social Science Foundation</funding-source>
<award-id>23YJA880093</award-id>
</award-group>
<award-group id="awg4">
<funding-source>Post-Doctoral Fellowship</funding-source>
<award-id>2022M711174</award-id>
</award-group>
<award-group id="awg5">
<funding-source>National Center for Mental Health</funding-source>
<award-id>Z014</award-id>
</award-group>
<award-group id="awg6">
<funding-source>Research Excellence Scholarship of Shenzhen University</funding-source>
<award-id>ZYZD2305</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Recent estimates suggest that in 2020, 9.9% of all worldwide live births (approximately 13.4 million in absolute numbers) were preterm (referring to any successful live birth occurring before 37 weeks of pregnancy), and global deaths in preterm infants have reached 1 million [<xref ref-type="bibr" rid="ref-1">1</xref>]. For the 2016 US birth cohort, the discounted present value of the excess cost associated with preterm birth was estimated at $25.2 billion, with a lifetime incremental cost per preterm child of $64,815 compared to a full-term child [<xref ref-type="bibr" rid="ref-2">2</xref>]. In light of the growing prevalence of preterm births and their consequences on public health and economic resources, it is important to investigate cost-efficient strategies for enhancing the quality of life and health among preterm individuals, especially at early stages of life including childhood and adolescence (hereafter referred to as youth).</p>
<p>Notably, preterm infants are at a higher risk of immediate health complications at birth [<xref ref-type="bibr" rid="ref-3">3</xref>,<xref ref-type="bibr" rid="ref-4">4</xref>] as well as health issues throughout their lives including life stages such as middle childhood and adolescence [<xref ref-type="bibr" rid="ref-5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref-7">7</xref>]. Several studies provide evidence that preterm youth are at higher risk for negative health consequences including but not limited to cognitive difficulties [<xref ref-type="bibr" rid="ref-8">8</xref>,<xref ref-type="bibr" rid="ref-9">9</xref>], depression [<xref ref-type="bibr" rid="ref-10">10</xref>,<xref ref-type="bibr" rid="ref-11">11</xref>], anxiety [<xref ref-type="bibr" rid="ref-11">11</xref>,<xref ref-type="bibr" rid="ref-12">12</xref>], and behavioral issues [<xref ref-type="bibr" rid="ref-13">13</xref>,<xref ref-type="bibr" rid="ref-14">14</xref>] compared to full-term-born children. Specifically, preterm youth also exhibit a greater susceptibility to externalizing problems, such as excessive arguing and difficulties in making friends [<xref ref-type="bibr" rid="ref-15">15</xref>&#x2013;<xref ref-type="bibr" rid="ref-17">17</xref>]. Addressing these negative behaviors and other health risks associated with preterm youth is costly, and burdensome for family members, and requires the availability of qualified professionals [<xref ref-type="bibr" rid="ref-2">2</xref>], which in turn may limit the accessibility of such intervention approaches for those in need.</p>
<p>Notably, findings of previous research suggest that higher levels of physical activity (PA) [<xref ref-type="bibr" rid="ref-18">18</xref>,<xref ref-type="bibr" rid="ref-19">19</xref>], sufficient sleep duration [<xref ref-type="bibr" rid="ref-20">20</xref>], and reduced screen time (ST) [<xref ref-type="bibr" rid="ref-21">21</xref>] can improve the quality of life and physical health of youth born preterm. Therefore, it is reasonable to assume that promoting lifestyle changes such as engaging in PA, getting sufficient sleep, and minimizing ST is a promising intervention strategy to reduce health issues associated with preterm birth. These lifestyle changes can be implemented at minimal cost and are thus accessible to everyone. However, few studies have examined the influence of these lifestyle factors from a holistic perspective, such as the 24-h movement behavior (24-HMB) framework, among preterm youth. The holistic framework referred to as the 24-h Movement Behaviors guidelines considers the interdependence of the lifestyle factors PA, sedentary behavior (SB), and sleep (SL), and recommends a minimum of 60 min of moderate-to-vigorous PA per day, no more than 2 h of ST, and sleep durations of 9&#x2013;11 h for healthy development [<xref ref-type="bibr" rid="ref-22">22</xref>&#x2013;<xref ref-type="bibr" rid="ref-24">24</xref>]. Several studies indicate that meeting these 24-HMB guidelines is associated with better physical, cognitive, emotional, and social development, as well as overall well-being, in neurotypical youth and those with neurodevelopmental disorders [<xref ref-type="bibr" rid="ref-25">25</xref>,<xref ref-type="bibr" rid="ref-26">26</xref>].</p>
<p>Despite these promising findings, it remains unclear whether such positive associations between meeting 24-HMB guidelines and reduced risk of cognitive difficulties, internalizing problems, and externalizing problems are generalizable to preterm youth. To this end, we aimed to explore associations between meeting 24-HMB guidelines and indicators of the health-related domains among preterm youth. Specifically, we hypothesized that meeting one or more components within 24-HMB guidelines is associated with lower odds of (i) cognitive difficulties; (ii) internalizing problems; and (iii) externalizing problems.</p>
</sec>
<sec id="s2">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Data source and sample</title>
<p>This cross-sectional study used data from the U.S. National Survey of Children&#x2019;s Health (NSCH), conducted between June 2022 and January 2023. A total of 54,103 parents or legal guardians responded to the NSCH survey in 2022. Further details on the survey&#x2019;s data collection are accessible at (<ext-link ext-link-type="uri" xlink:href="https://www.childhealthdata.org">https://www.childhealthdata.org</ext-link>, accessed 20 July 2024). This study followed established protocols similar to those in earlier research [<xref ref-type="bibr" rid="ref-25">25</xref>,<xref ref-type="bibr" rid="ref-26">26</xref>], except for the criteria for selecting the specific population in our study. This research focused on youth aged between 6&#x2013;17 years who were born prematurely, defined as being born at least 3 weeks before their expected due date. After excluding all non-preterm children, children under 6 years, and invalid data across various variables (e.g., excluding participants with missing data values for depression), we finally retained a valid dataset of 3410 participants. Detailed descriptions of the assessments used in this study are provided below. The study was approved by the Ethics Committee of the Shenzhen University (IRB number: PN-2022-00075). No participants received financial incentives, and all participants signed the informed consent in this study.</p>
</sec>
<sec id="s2_2">
<title>Demographic and medical information</title>
<p>This study included factors like sociodemographic variables (e.g., gender, family income, ethnicity, primary caregiver&#x2019;s education) [<xref ref-type="bibr" rid="ref-27">27</xref>&#x2013;<xref ref-type="bibr" rid="ref-29">29</xref>], overweight status [<xref ref-type="bibr" rid="ref-30">30</xref>], and adverse childhood experiences [<xref ref-type="bibr" rid="ref-31">31</xref>] that were known to significantly influence youth health. Additionally, parental emotional support, household child count, mental health care, and the severity of preterm birth are also known to influence health-related parameters in youth [<xref ref-type="bibr" rid="ref-32">32</xref>&#x2013;<xref ref-type="bibr" rid="ref-36">36</xref>]. Therefore, these variables were included as covariates in our statistical analysis. Specifically, youth were identified as overweight based on caregiver reports of a medical professional&#x2019;s diagnosis. Adverse childhood experiences were operationalized as challenging events encountered during early childhood, including financial hardships that affect basic needs, parental divorce or separation, the death of a parent or guardian, and similar distressing life circumstances. Parental emotional support was measured by caregivers&#x2019; access to emotional help for parenting within the last year. Mental health care utilization indicated whether the child received professional mental health treatment or counseling during the same period.</p>
</sec>
<sec id="s2_3">
<title>Independent variables</title>
<p>The 24-HMB guidelines include 3 key components: PA, ST, and SL. These guidelines were operationalized numerically and categorically. Specifically, the number of guidelines met can fall within a range of 0 to 3, while the 3 component(s) can be categorized individually (i.e., PA, ST, or SL) or in combinations of meeting the 24-HMB guidelines (i.e., PA &#x002B; ST, PA &#x002B; SL, ST &#x002B; SL, or PA &#x002B; ST &#x002B; SL).</p>
<p>To determine whether preterm youth met the PA guideline, a single-item question was asked to the caregiver(s) of the participating children: &#x201C;During the past week, on how many days did your child exercise, play a sport, or participate in physical activity for at least 60 min?&#x201D; Respondents were provided with four response options (1 &#x003D; 0 days, 2 &#x003D; 1&#x2013;3 days, 3 &#x003D; 4&#x2013;6 days, and 4 &#x003D; daily). Those whose parents chose option 4 (daily) were deemed to have met the PA guidelines.</p>
<p>Second, ST was measured using a single-item question: &#x201C;On most weekdays, about how much time does your child usually spend in front of a TV, computer, cell phone, or other electronic device watching programs, playing games, accessing the internet, or using social media, not including schoolwork?&#x201D; Parents had five options to choose from: 1) under 1 h/day, 2) 1 h/day, 3) 2 h/day, 4) 3 h/day, and 5) 4 h/day or more. Children whose parents selected options 1 to 3 were considered compliant with the ST guidelines.</p>
<p>Third, SL was evaluated with a single-item question: &#x201C;During the past week, how many hours of sleep did your child get on most weeknights?&#x201D; The answers were rated on a 7-point scale (1 &#x003D; less than 6 hours, 2 &#x003D; 6 h, 3 &#x003D; 7 h, 4 &#x003D; 8 h, 5 &#x003D; 9 h, 6 &#x003D; 10 h, 7 &#x003D; 11 h or more). Based on the child&#x2019;s age, different responses indicated compliance with the SL guideline: for children aged 5 to 13, 9 h or more (options 5 to 7 h) were deemed appropriate, while for adolescents aged 14 to 17 years, 8 to 10 h (options 4 to 6) were considered adequate.</p>
</sec>
<sec id="s2_4">
<title>Dependent variables</title>
<p>Cognitive difficulties were assessed using the following parent-reported single-item question: &#x201C;Does this child have serious difficulty concentrating, remembering, or making decisions because of a physical, mental, or emotional condition? [<xref ref-type="bibr" rid="ref-25">25</xref>]&#x201D; Responses were binary: 0 (no) or 1 (yes).</p>
<p>Internalizing issues were identified based on responses to two distinct questions posed to the primary caregiver(s): (a) &#x201C;Does your child have anxiety problems?&#x201D; and (b) &#x201C;Does your child have depression?&#x201D; An affirmative response to either question resulted in the child&#x2019;s inclusion in the study.</p>
<p>Externalizing problems were evaluated through two distinct questions provided by the primary caregiver(s): (a) &#x201C;Compared to other children their age, how much difficulty does this child have making or keeping friends?&#x201D; Responses were scored on a 3-point scale: 1 (no difficulty), 2 (some difficulty), and 3 (a lot of difficulty). (b) &#x201C;How often does this child argue too much?&#x201D; Responses were scored on a 4-point scale: 1 (always), 2 (often), 3 (sometimes), and 4 (never).</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>In this study, the statistical analysis was conducted using the Stata software (StataCorp. 2023. Stata Statistical Software: Release 18. College Station, TX: StataCorp LLC.). A composite variable named STRATACROSS was generated by merging the state residency code (FIPSST), the youth-marked household identifier (STRATUM), and the unique household ID to facilitate the use of sampling weights in the analysis. Subpopulations were identified as premature-born youth if they were born alive before 37 weeks of pregnancy. Descriptive statistics were computed for all variables. Continuous data were summarized with average values and standard deviations, while categorical data were presented through counts and percentages, adjusted for weights. Odds ratios (<italic>OR</italic>) and their 95% confidence intervals (<italic>95% CI</italic>) were calculated using multivariable logistic regression to determine the association between compliance with 24-HMB guidelines and various outcomes, including cognitive difficulties and both internalizing (e.g., depression, anxiety) and externalizing issues (e.g., socializing challenges, excessive arguing). The adherence to 24-HMB guidelines was examined both in terms of the total number of guidelines met (as a continuous variable) and meeting each guideline individually (as categorical variables) within the statistical models. Factors considered in the analysis were age, gender, ethnicity, household economic status, family size, the education level of the primary caregivers, whether the child was overweight, exposure to adverse experiences in childhood, access to emotional support, and mental health service utilization. The threshold for statistical significance was set at <italic>p</italic> &#x003C; 0.05 for all statistical tests.</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="s3_1">
<title>Sample characteristics</title>
<p>The study encompassed responses from 3410 preterm-born young people, ranging from 6 to 17 years old. Participant characteristics were male (54.46%), white (76.42%), and received emotional support (79.44%). The average age was 11.86 years. Nearly 69% of the households surveyed had incomes exceedingly twice the federal poverty threshold, while over half of the caregivers (58.04%) possessed a college degree or higher education. Mental health services were utilized by 19.74%, with 21.73% of the participants showing high anxiety and 10.12% signs of depression.</p>
</sec>
<sec id="s3_2">
<title>Meeting the 24-HMB guidelines</title>
<p>Results showed that 20.50% (699 individuals) of the preterm youth failed to meet any component within 24-HMB guidelines. Over 42% (1449 participants) of the study sample met one of the three 24-HMB guidelines: 28.45% (<italic>N</italic> &#x003D; 970) for SL, 10.47% (<italic>N</italic> &#x003D; 357) for ST, and 3.58% (<italic>N</italic> &#x003D; 122) for PA. Furthermore, 29.7% of the participants (<italic>N</italic> &#x003D; 1013) met two of the three 24-HMB guidelines. The most commonly met combinations were ST &#x002B; SL (<italic>N</italic> &#x003D; 724, 21.23%), followed by PA &#x002B; SL (<italic>N</italic> &#x003D; 198, 5.81%), and PA &#x002B; ST (<italic>N</italic> &#x003D; 91, 2.67%). Additionally, only 7.30% (249 preterm youth) met all 24-HMB guidelines. More detailed information can be found in <xref ref-type="table" rid="table-1">Table 1</xref>. To visualize our results, we used a Venn diagram (see <xref ref-type="fig" rid="fig-1">Fig. 1</xref>) that shows the specific numbers and actual proportional sizes of preterm youth meeting the specific guidelines of the 24-HMB framework. In <xref ref-type="fig" rid="fig-2">Fig. 2</xref>, we provide a graphical summary of our findings.</p>
<table-wrap id="table-1"><label>Table 1</label>
<caption>
<title>Characteristics of our sample of preterm youth (<italic>N</italic> &#x003D; 3410)</title></caption>
<table><colgroup>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Characteristics</th>
<th>Value<sup>a</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td>Age (year) (Mean &#x00B1; SD)</td>
<td>11.86 &#x00B1; 3.49</td>
</tr>
<tr>
<td colspan="2">Gender</td>
</tr>
<tr>
<td>Male</td>
<td>1857 (54.46%)</td>
</tr>
<tr>
<td>Female</td>
<td>1553 (45.54%)</td>
</tr>
<tr>
<td colspan="2">Ethnicity</td>
</tr>
<tr>
<td>White (alone)</td>
<td>2606 (76.42%)</td>
</tr>
<tr>
<td>Black or African American (alone)</td>
<td>293 (8.59%)</td>
</tr>
<tr>
<td>American Indian or Alaska Native (alone)</td>
<td>35 (1.03%)</td>
</tr>
<tr>
<td>Asian (alone)</td>
<td>159 (4.66%)</td>
</tr>
<tr>
<td>Native Hawaiian or Other Pacific Islander (alone)</td>
<td>16 (0.47%)</td>
</tr>
<tr>
<td>Two or more races</td>
<td>301 (8.83%)</td>
</tr>
<tr>
<td colspan="2">Number of children in household</td>
</tr>
<tr>
<td>1</td>
<td>1340 (39.3%)</td>
</tr>
<tr>
<td>2</td>
<td>1318 (38.65%)</td>
</tr>
<tr>
<td>3</td>
<td>507 (14.87%)</td>
</tr>
<tr>
<td>4&#x002B;</td>
<td>245 (7.18%)</td>
</tr>
<tr>
<td colspan="2">Household poverty level</td>
</tr>
<tr>
<td>&#x2264;99% of the federal poverty level</td>
<td>483 (14.16%)</td>
</tr>
<tr>
<td>100%&#x2013;199% of the federal poverty level</td>
<td>588 (17.24%)</td>
</tr>
<tr>
<td>200%&#x2013;399% of the federal poverty level</td>
<td>980 (28.74%)</td>
</tr>
<tr>
<td>&#x2265;400% of the federal poverty level</td>
<td>1359 (39.85%)</td>
</tr>
<tr>
<td colspan="2">Primary caregivers&#x2019; highest educational attainment</td>
</tr>
<tr>
<td>Less than high school</td>
<td>83 (2.43%)</td>
</tr>
<tr>
<td>High school graduate</td>
<td>477 (13.99%)</td>
</tr>
<tr>
<td>Some college or associate degree (AA, AS)</td>
<td>871 (25.54%)</td>
</tr>
<tr>
<td>Bachelor&#x2019;s degree or higher</td>
<td>1979 (58.04%)</td>
</tr>
<tr>
<td colspan="2">Day-to-day emotional support with parent</td>
</tr>
<tr>
<td>Yes</td>
<td>2709 (79.44%)</td>
</tr>
<tr>
<td>No</td>
<td>701 (20.56%)</td>
</tr>
<tr>
<td colspan="2">Overweight classification</td>
</tr>
<tr>
<td>Yes</td>
<td>329 (9.65%)</td>
</tr>
<tr>
<td>No</td>
<td>3081 (90.35%)</td>
</tr>
<tr>
<td colspan="2">Mental health care received</td>
</tr>
<tr>
<td>Yes</td>
<td>673 (19.74%)</td>
</tr>
<tr>
<td>No</td>
<td>2737 (80.26%)</td>
</tr>
<tr>
<td colspan="2">Experienced one or more adverse childhood experiences</td>
</tr>
<tr>
<td>Twice or more</td>
<td>1733 (50.82%)</td>
</tr>
<tr>
<td>Once</td>
<td>813 (23.84%)</td>
</tr>
<tr>
<td>Never</td>
<td>864 (25.34%)</td>
</tr>
<tr>
<td colspan="2">Birth weight</td>
</tr>
<tr>
<td>&#x003C;1500 g</td>
<td>346 (10.15%)</td>
</tr>
<tr>
<td>1500&#x2013;2500 g</td>
<td>1368 (40.12%)</td>
</tr>
<tr>
<td>Not have a low birth weight</td>
<td>1696 (49.74%)</td>
</tr>
<tr>
<td colspan="2">Meeting the 24-HMB guidelines</td>
</tr>
<tr>
<td>None</td>
<td>699 (20.5%)</td>
</tr>
<tr>
<td>Meeting 1 out of 3 guidelines</td>
<td>1449 (42.49%)</td>
</tr>
<tr>
<td>Physical activity</td>
<td>122 (3.58%)</td>
</tr>
<tr>
<td>Screen time</td>
<td></td>
</tr>
<tr>
<td>Sleep</td>
<td>970 (28.45%)</td>
</tr>
<tr>
<td>Meeting 2 out of 3 guidelines</td>
<td>1013 (29.7%)</td>
</tr>
<tr>
<td>Physical activity and Screen time</td>
<td>91 (2.67%)</td>
</tr>
<tr>
<td>Physical activity and Slee<italic>p</italic></td>
<td>198 (5.81%)</td>
</tr>
<tr>
<td>Screen time and Slee<italic>p</italic></td>
<td>724 (21.23%)</td>
</tr>
<tr>
<td>Meeting all 3 guidelines</td>
<td>249 (7.3%)</td>
</tr>
<tr>
<td colspan="2">Cognitive difficulty</td>
</tr>
<tr>
<td>Yes</td>
<td>611 (17.92%)</td>
</tr>
<tr>
<td>No</td>
<td>2780 (82.08%)</td>
</tr>
<tr>
<td colspan="2">Anxiety</td>
</tr>
<tr>
<td>Yes</td>
<td>741 (21.73%)</td>
</tr>
<tr>
<td>No</td>
<td>2669 (78.27%)</td>
</tr>
<tr>
<td colspan="2">Depression</td>
</tr>
<tr>
<td>Yes</td>
<td>345 (10.12%)</td>
</tr>
<tr>
<td>No</td>
<td>3065 (89.88%)</td>
</tr>
<tr>
<td colspan="2">Hard to make friend</td>
</tr>
<tr>
<td>No difficulty</td>
<td>2280 (66.86%)</td>
</tr>
<tr>
<td>A little difficulty</td>
<td>860 (25.22%)</td>
</tr>
<tr>
<td>A lot of difficulty</td>
<td>270 (7.92%)</td>
</tr>
<tr>
<td colspan="2">Argue too much</td>
</tr>
<tr>
<td>Always</td>
<td>243 (7.13%)</td>
</tr>
<tr>
<td>Usually</td>
<td>453 (13.28%)</td>
</tr>
<tr>
<td>Sometimes</td>
<td>1845 (54.11%)</td>
</tr>
<tr>
<td>Never</td>
<td>869 (25.48%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-1fn1" fn-type="other">
<p>Note: <sup>a</sup> values are presented as mean &#x00B1; SD or n (weighted (wt)%); n represents unweighted sample counts, and wt% denotes weighted sample proportions. Abbreviations: 24-HMB represents 24-h Movement Behavior guidelines, AA stands for Associate in Arts, and AS signifies Associate in Science.</p>
</fn>
</table-wrap-foot>
</table-wrap><fig id="fig-1">
<label>Figure 1</label>
<caption>
<title>Venn diagram illustrating the proportions of participants meeting specific guidelines of the 24-HMB recommendations (PA: physical activity, ST: screen time, SL: sleep). Values are shown as n (wt%), where n indicates unweighted sample counts and wt% represents weighted sample proportions. Note: 699 participants (20.5%) did not meet any of the 24-HMB guidelines.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="IntJMentHealthPromot-26-55351-f001.tif"/>
</fig><fig id="fig-2">
<label>Figure 2</label>
<caption>
<title>Associations between meeting to 24-HMB guidelines and cognitive difficulties, internalizing, and externalizing problems among preterm youth. &#x201C;ns&#x201D; denotes no significant association, while &#x201C;-&#x201D; indicates a negative correlation.</title></caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="IntJMentHealthPromot-26-55351-f002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Association between meeting the 24-HMB guidelines and cognitive difficulties</title>
<p><xref ref-type="table" rid="table-2">Table 2</xref> illustrates the relationship between meeting the 24-HMB guidelines and cognitive difficulties. When treated as a continuous variable, no significant association was found between adherence to the 24-HMB guidelines and cognitive difficulties (<italic>OR</italic> &#x003D; 0.9, <italic>95% CI</italic> &#x003D; 0.797&#x2013;1.015, <italic>p</italic> &#x003D; 0.086). However, compared to not meeting any of the 24-HMB guidelines, meeting the ST guideline was associated with a lower likelihood of cognitive difficulties (<italic>OR</italic> &#x003D; 0.639, <italic>95% CI</italic> &#x003D; 0.429&#x2013;0.952, <italic>p</italic> &#x003D; 0.028).</p>
<table-wrap id="table-2"><label>Table 2</label>
<caption>
<title>Association between meeting the 24-HMB guidelines and cognitive difficulties</title></caption>
<table><colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th rowspan="2">Cognitive difficulties</th>
<th colspan="2">Adherence to 24-HMB guidelines as a continuous variable</th>
<th colspan="2">Adherence to 24-HMB guidelines as a categorical variable</th>
</tr>
<tr>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>Adherence to 24-HMB guidelines</td>
<td>0.9 (0.792, 1.015)</td>
<td>0.084</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
</tr>
<tr>
<td>Physical activity</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.112 (0.659, 1.879)</td>
<td>0.689</td>
</tr>
<tr>
<td>Screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.629 (0.943, 1.63)</td>
<td><bold><italic>0.022&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.24 (0.943, 1.631)</td>
<td>0.122</td>
</tr>
<tr>
<td>Physical activity and screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.604 (0.291, 1.25)</td>
<td>0.174</td>
</tr>
<tr>
<td>Physical activity and sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.838 (0.524, 1.339)</td>
<td>0.459</td>
</tr>
<tr>
<td>Screen time and sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.892 (0.648, 1.23)</td>
<td>0.485</td>
</tr>
<tr>
<td>All</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.672 (0.412, 1.097)</td>
<td>0.112</td>
</tr>
<tr>
<td>Probability &#x003E; F<sup>a</sup></td>
<td>&#x003C;0.001</td>
<td></td>
<td>&#x003C;0.001</td>
<td></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-2fn1" fn-type="other">
<p>Note: <sup>a</sup> indicates the overall model F statistic. &#x002A;<italic>p</italic> &#x003C; 0.05. Abbreviations: <italic>95% CI</italic> &#x003D; 95% confidence interval; 24-HMB &#x003D; 24-h movement behavior guidelines. The symbol &#x201C;&#x2014;&#x201D; signifies no data available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Association between meeting the 24-HMB guidelines and internalizing problems</title>
<p><xref ref-type="table" rid="table-3">Table 3</xref> displays the association between meeting the 24-HMB guidelines and depression. When treated as a continuous variable, a higher number of 24-HMB guidelines met was associated with a lower risk of depression (<italic>OR</italic> &#x003D; 0.703, <italic>95% CI</italic> &#x003D; 0.582&#x2013;0.849, <italic>p</italic> &#x003C; 0.001). In the categorical analysis, meeting the SL guideline (<italic>OR</italic> &#x003D; 0.609, <italic>95% CI</italic> &#x003D; 0.423&#x2013;0.876, <italic>p</italic> &#x003D; 0.008) or meeting both the ST and SL guidelines (<italic>OR</italic> &#x003D; 0.354, <italic>95% CI</italic> &#x003D; 0.220&#x2013;0.569, <italic>p</italic> &#x003C; 0.001) was associated with lower odds of depression. The overall model was statistically significant (<italic>p</italic> &#x003C; 0.001).</p>
<table-wrap id="table-3"><label>Table 3</label>
<caption>
<title>Associations between meeting the 24-HMB guidelines and depression</title></caption>
<table><colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th rowspan="2">Depression</th>
<th colspan="2">Adherence to 24-HMB guidelines as a continuous variable</th>
<th colspan="2">Adherence to 24-HMB guidelines as a categorical variable</th>
</tr>
<tr>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>Adherence to 24-HMB guidelines</td>
<td>0.703 (0.582, 0.849)</td>
<td>&#x003C;0.001</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
</tr>
<tr>
<td>Physical activity</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.667 (0.292, 1.523)</td>
<td>0.336</td>
</tr>
<tr>
<td>Screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.793 (0.481, 1.307)</td>
<td>0.362</td>
</tr>
<tr>
<td>Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.609 (0.423, 0.876)</td>
<td>0.008&#x002A;</td>
</tr>
<tr>
<td>Physical activity and screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.987 (0.374, 2.605)</td>
<td>0.978</td>
</tr>
<tr>
<td>Physical activity and sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.576 (0.290, 1.146)</td>
<td>0.116</td>
</tr>
<tr>
<td>Screen time and sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.397 (0.245, 0.644)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>All</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.440 (0.172, 1.130)</td>
<td>0.088</td>
</tr>
<tr>
<td>Probability &#x003E; F<sup>a</sup></td>
<td>&#x003C;0.001</td>
<td></td>
<td>&#x003C;0.001</td>
<td></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-3fn1" fn-type="other">
<p>Note: <sup>a</sup> indicates the overall model F statistic. &#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. Abbreviations: <italic>95% CI</italic> &#x003D; 95% confidence interval; 24-HMB &#x003D; 24-h movement behavior guidelines. The symbol &#x201C;&#x2014;&#x201D; signifies no data available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="table-4">Table 4</xref> summarizes the associations between meeting the 24-HMB guidelines and anxiety. When analyzed as a continuous variable, meeting a higher number of 24-HMB guidelines was associated with a decreased risk of anxiety (<italic>OR</italic> &#x003D; 0.877, <italic>95% CI</italic> &#x003D; 0.772&#x2013;0.997, <italic>p</italic> &#x003D; 0.045). In the categorical analysis, only the combination of meeting the PA and ST guidelines was significantly associated with reduced anxiety (<italic>OR</italic> &#x003D; 0.419, <italic>95% CI</italic> &#x003D; 0.186&#x2013;0.944, <italic>p</italic> &#x003D; 0.036). The overall model was significant (<italic>p</italic> &#x003C; 0.001).</p>
<table-wrap id="table-4"><label>Table 4</label>
<caption>
<title>Associations between meeting the 24-HMB guidelines and anxiety</title></caption>
<table><colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th rowspan="2">Caring about school performance</th>
<th colspan="2">Adherence to 24-HMB guidelines as a continuous variable</th>
<th colspan="2">Adherence to 24-HMB guidelines as a categorical variable</th>
</tr>
<tr>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><underline><italic>p</italic></underline></th>
</tr>
</thead>
<tbody>
<tr>
<td>Adherence to 24-HMB guidelines</td>
<td>0.877 (0.772, 0.997)</td>
<td>0.045&#x002A;</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
</tr>
<tr>
<td>Physical activity</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.240 (0.717, 2.146)</td>
<td>0.442</td>
</tr>
<tr>
<td>Screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.760 (0.516, 1.117)</td>
<td>0.162</td>
</tr>
<tr>
<td>Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.047 (0.791, 1.386)</td>
<td>0.75</td>
</tr>
<tr>
<td>Physical activity and Screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.419 (0.186, 0.944)</td>
<td>0.036&#x002A;</td>
</tr>
<tr>
<td>Physical activity and Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.703 (0.432, 1.144)</td>
<td>0.156</td>
</tr>
<tr>
<td>Screen time and Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.763 (0.551, 1.057)</td>
<td>0.104</td>
</tr>
<tr>
<td>All</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.857 (0.525, 1.397)</td>
<td>0.536</td>
</tr>
<tr>
<td>Probability &#x003E; F<sup>a</sup></td>
<td>&#x003C;0.001</td>
<td></td>
<td>&#x003C;0.001</td>
<td></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-4fn1" fn-type="other">
<p>Note: <sup>a</sup> indicates the overall model F statistic. &#x002A;<italic>p</italic> &#x003C; 0.05. Abbreviations: <italic>95% CI</italic> &#x003D; 95% confidence interval; 24-HMB &#x003D; 24-h movement behavior guidelines. The symbol &#x201C;&#x2014;&#x201D; signifies no data available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Association between the 24-HMB guidelines and externalizing problems</title>
<p><xref ref-type="table" rid="table-5">Table 5</xref> illustrates the associations between meeting the 24-HMB guidelines and difficulties in making friends. When treated as a continuous variable, meeting more of the 24-HMB guidelines was associated with lower odds of difficulties in making friends (<italic>OR</italic> &#x003D; 0.470, <italic>95% CI</italic> &#x003D; 0.324&#x2013;0.681, <italic>p</italic> &#x003C; 0.001). In categorical analysis, meeting either the PA guideline alone (<italic>OR</italic> &#x003D; 0.471, <italic>95% CI</italic> &#x003D; 0.296&#x2013;0.751, <italic>p</italic> &#x003D; 0.002) or the ST guideline alone (<italic>OR</italic> &#x003D; 0.615, <italic>95% CI</italic> &#x003D; 0.462&#x2013;0.820, <italic>p</italic> &#x003C; 0.001) was associated with lower odds of difficulties in making friends. Combinations of meeting specific 24-HMB guidelines, such as PA &#x002B; ST (<italic>OR</italic> &#x003D; 0.350, <italic>95% CI</italic> &#x003D; 0.194&#x2013;0.632, <italic>p</italic> &#x003C; 0.001), PA &#x002B; SL (<italic>OR</italic> &#x003D; 0.563, <italic>95% CI</italic> &#x003D; 0.387&#x2013;0.819, <italic>p</italic> &#x003D; 0.003), and ST &#x002B; SL guidelines (<italic>OR</italic> &#x003D; 0.709, <italic>95% CI</italic> &#x003D; 0.560&#x2013;0.899, <italic>p</italic> &#x003D; 0.005), also showed associations with lower difficulties in making friends. Notably, preterm youth meeting all three 24-HMB guidelines exhibited the lowest levels of difficulties in making friends (<italic>OR</italic> &#x003D; 0.470, <italic>95% CI</italic> &#x003D; 0.324&#x2013;0.681, <italic>p</italic> &#x003C; 0.001). The overall model demonstrated statistical significance (<italic>p</italic> &#x003C; 0.001).</p>
<table-wrap id="table-5"><label>Table 5</label>
<caption>
<title>Associations between meeting the 24-HMB guidelines and difficulties in making friends</title></caption>
<table><colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th rowspan="2">Difficulties in making friends</th>
<th colspan="2">Adherence to 24-HMB guidelines as a continuous variable</th>
<th colspan="2">Adherence to 24-HMB guidelines as a categorical variable</th>
</tr>
<tr>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>Adherence to 24-HMB guidelines</td>
<td>0.777 (0.710, 0.851)</td>
<td>&#x003C;0.001/&#x003C;0.001&#x002A;&#x002A;&#x002A;</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
</tr>
<tr>
<td>Physical activity</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.471 (0.296, 0.751)</td>
<td><bold><italic>0.002&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.615 (0.462, 0.820)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.073 (0.872, 1.319)</td>
<td>0.505</td>
</tr>
<tr>
<td>Physical activity and screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.350 (0.194, 0.632)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Physical activity and sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.563 (0.387, 0.819)</td>
<td><bold><italic>0.003&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Screen time and sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.709 (0.560, 0.899)</td>
<td><bold><italic>0.005&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>All</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>0.470 (0.324, 0.681)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Probability &#x003E; F<sup>a</sup></td>
<td>&#x003C;0.001</td>
<td></td>
<td>&#x003C;0.001</td>
<td></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-5fn1" fn-type="other">
<p>Note: <sup>a</sup> indicates the overall model F statistic. &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. Abbreviations: <italic>95% CI</italic> &#x003D; 95% confidence interval; 24-HMB &#x003D; 24-h movement behavior guidelines. The symbol &#x201C;&#x2014;&#x201D; signifies no data available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="table-6">Table 6</xref> displays the associations between meeting the 24-HMB guidelines and the frequency of arguing too much. When treated as a continuous variable, meeting a higher number of 24-HMB guidelines was not associated with the likelihood of arguing too much (<italic>OR</italic> &#x003D; 1.119, <italic>95% CI</italic> &#x003D; 0.764&#x2013;1.640, <italic>p</italic> &#x003D; 0.563). In categorical analysis, meeting the ST guideline alone (<italic>OR</italic> &#x003D; 1.488, <italic>95% CI</italic> &#x003D; 1.161&#x2013;1.908, <italic>p</italic> &#x003D; 0.002) and SL guideline alone (<italic>OR</italic> &#x003D; 1.549, <italic>95% CI</italic> &#x003D; 1.277&#x2013;1.880, <italic>p</italic> &#x003C; 0.001) were associated with lower odds of arguing too much. Preterm youth who met specific combinations of the 24-HMB guidelines, such as PA &#x002B; SL (<italic>OR</italic> &#x003D; 2.137, <italic>95% CI</italic> &#x003D; 1.556&#x2013;2.936, <italic>p</italic> &#x003C; 0.001) and ST &#x002B; SL (<italic>OR</italic> &#x003D; 1.576, <italic>95% CI</italic> &#x003D; 1.276&#x2013;1.947, <italic>p</italic> &#x003C; 0.001), also showed lower odds of arguing too much. Meeting all three 24-HMB guidelines (<italic>OR</italic> &#x003D; 2.088, <italic>95% CI</italic> &#x003D; 1.555&#x2013;2.804, <italic>p</italic> &#x003C; 0.001) was associated with the lowest odds of arguing too much.</p>
<table-wrap id="table-6"><label>Table 6</label>
<caption>
<title>Associations between meeting the 24-HMB guidelines and arguing too much</title></caption>
<table><colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th rowspan="2">Argue too much</th>
<th colspan="2">Adherence to 24-HMB guidelines as a continuous variable</th>
<th colspan="2">Adherence to 24-HMB guidelines as a categorical variable</th>
</tr>
<tr>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
<th>Odds ratio (<italic>95% CI</italic>)</th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>Adherence to 24-HMB guidelines</td>
<td>1.245 (1.149, 1.349)</td>
<td>&#x003C;0.001&#x002A;&#x002A;&#x002A;</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
</tr>
<tr>
<td>Physical activity</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.119 (0.764, 1.640)</td>
<td>0.563</td>
</tr>
<tr>
<td>Screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.488 (1.161, 1.908)</td>
<td><bold><italic>0.002&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.549 (1.277, 1.880)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Physical activity and Screen time</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.120 (0.732, 1.714)</td>
<td>0.601</td>
</tr>
<tr>
<td>Physical activity and Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>2.137 (1.556, 2.936)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Screen time and Sleep</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>1.576 (1.276, 1.947)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>All</td>
<td>&#x2014;</td>
<td>&#x2014;</td>
<td>2.088 (1.555, 2.804)</td>
<td><bold><italic>&#x003C;0.001&#x002A;&#x002A;&#x002A;</italic></bold></td>
</tr>
<tr>
<td>Probability &#x003E; F<sup>a</sup></td>
<td>&#x003C;0.001</td>
<td></td>
<td>&#x003C;0.001</td>
<td></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-6fn1" fn-type="other">
<p>Note: <sup>a</sup> indicates the overall model F statistic. &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. Abbreviations: <italic>95% CI</italic> &#x003D; 95% confidence interval; 24-HMB &#x003D; 24-h movement behavior guidelines. The symbol &#x201C;&#x2014;&#x201D; signifies no data available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p>This cross-sectional study investigated whether meeting the 24-HMB guidelines relates to cognitive difficulties, internalizing problems, and externalizing problems in a nationally representative sample of U.S. youth aged 6 to 17 years born preterm. We observed significant associations between meeting specific guidelines within the 24-HMB framework and our three main outcomes (see <xref ref-type="fig" rid="fig-1">Fig. 1</xref> for details). Given that our study results are consistent with the evidence in the existing literature, which generally suggests that meeting the 24-HMB guidelines conveys health benefits, our findings underscore the importance of advocating for the promotion of healthy lifestyle behaviors. (i.e., appropriate PA and SL, limited ST) among preterm youth, their caregivers, and relevant stakeholders (e.g., teachers).</p>

<p>The urgent need to promote healthy lifestyle behaviors among youth born preterm is supported by our finding that approximately 42.49% of preterm youth met at least one of the 24-HMB guidelines, while around 29.7% met two guidelines, and a smaller proportion, 7.3%, met all three 24-HMB guidelines. These findings align with the observation of previous research conducted on youth with neurodevelopmental conditions like autism spectrum disorder [<xref ref-type="bibr" rid="ref-26">26</xref>], attention-deficit/hyperactivity disorder [<xref ref-type="bibr" rid="ref-25">25</xref>], and epilepsy [<xref ref-type="bibr" rid="ref-37">37</xref>].</p>
<p>Based on the growing evidence linking adherence to the 24-HMB guidelines to health benefits [<xref ref-type="bibr" rid="ref-37">37</xref>], our findings underscore the importance of advocating for and promoting healthy lifestyle behaviors among preterm youth across different environments.</p>
<sec id="s4_1">
<title>Association between meeting the 24-HMB guidelines and cognitive difficulties</title>
<p>In our study, we did not find an overall statistically significant association between meeting the 24-HMB guidelines and parent-reported cognitive difficulties, which was somewhat unexpected. This observation is perhaps attributable to two factors: first, our sample consisted of preterm youth aged 6 years or older, whereas previous research indicates that by 36 months (i.e., 3 years), the cognitive development of preterm youth aligns with that of full-term peers [<xref ref-type="bibr" rid="ref-38">38</xref>]. Second, the assessment of cognitive difficulties relied exclusively on parent reports, potentially reducing our ability to identify statistically significant associations compared to more sensitive methods like standardized neuropsychological evaluations.</p>
<p>Our results suggest that preterm youth who met the ST guideline alone exhibited fewer parent-reported cognitive difficulties. This result is consistent with previous research indicating a negative association between ST and cognitive development [<xref ref-type="bibr" rid="ref-39">39</xref>]. From a neurobiological perspective, such an observation is perhaps related to findings from neuroimaging studies showing that prolonged ST is linked to reduced connectivity in neural networks associated with attention and cognitive control [<xref ref-type="bibr" rid="ref-40">40</xref>]. Moreover, excessive ST was often accompanied by prolonged sitting, a sedentary behavior that negatively affects physical health and can pose a serious threat to brain health, especially cognitively passive sedentary behaviors (e.g., watching TV) [<xref ref-type="bibr" rid="ref-41">41</xref>].</p>
<p>Although several studies provide evidence for a positive association between PA and cognitive function [<xref ref-type="bibr" rid="ref-42">42</xref>&#x2013;<xref ref-type="bibr" rid="ref-47">47</xref>], the present study focused on cognitive difficulties, which are less prevalent among adolescents [<xref ref-type="bibr" rid="ref-48">48</xref>] and were assessed with a parent-reported instrument. Thus, our study is not fully comparable to the previous literature in which cognitive performance was mainly operationalized via computerized cognitive tests. However, replacing ST with PA remains a practical and cost-effective means for fostering the health of preterm youth through lifestyle changes. Numerous studies have demonstrated that regular engagement in structured, repetitive, and planned forms of PA, particularly moderate-intensity exercise, along with decreased ST, can have beneficial effects on brain development [<xref ref-type="bibr" rid="ref-43">43</xref>,<xref ref-type="bibr" rid="ref-49">49</xref>]. Specifically, these behaviors are linked to enhanced structural and functional integrity of key brain regions including the prefrontal cortex, hippocampus, and cerebellum, which are crucial for advanced cognitive functions such as executive function [<xref ref-type="bibr" rid="ref-50">50</xref>,<xref ref-type="bibr" rid="ref-51">51</xref>]. Our findings indicate that meeting the ST component of 24-HMB guidelines is linked to fewer cognitive difficulties among preterm youth. This suggests that maintaining a healthy lifestyle could potentially mitigate cognitive challenges in this population, although further interventional studies are needed to empirically support this hypothesis.</p>
</sec>
<sec id="s4_2">
<title>Association between meeting the 24-HMB guidelines and internalizing problems</title>
<p>In our current study, meeting individual or combined components of 24-HMB guidelines showed specific associations with indicators of internalizing problems. Specifically, meeting the SL guideline alone, as well as the combination of SL and ST guidelines, were associated with a lower likelihood of reporting depression. A recent seminal meta-analysis [<xref ref-type="bibr" rid="ref-52">52</xref>] indicated that disturbed sleep (including sleep disturbances or insomnia) is linked to a higher prevalence of depression among a larger sample of youth (<italic>N</italic> &#x003D; 28,895). Thus, intervention strategies to prevent depression should be implemented as early as possible in childhood by promoting healthy lifestyle behaviors such as adequate sleep. In this context, sleep could perhaps be improved by intervention approaches such as PA promotion or mindfulness training, although the evidence in this direction is currently somewhat sparse and inconclusive [<xref ref-type="bibr" rid="ref-53">53</xref>]. Moreover, preterm youth who met both the SL and ST guidelines had lower odds of experiencing depressive symptoms compared to those who did not meet any of the 24-HMB guidelines. A recent study showed that engaging in bedtime screen activities such as streaming movies, talking or texting on the phone, and using social media, was associated with disrupted sleep patterns (as reflected by trouble falling/staying asleep) in healthy adolescents aged between 10 and 14 (<italic>N</italic> &#x003D; 10,280) [<xref ref-type="bibr" rid="ref-54">54</xref>], which in turn may result in greater levels of depression severity [<xref ref-type="bibr" rid="ref-55">55</xref>]. Furthermore, meeting both PA and ST guidelines is associated with a lower likelihood of experiencing anxiety. Such a finding is partially supported by observations of a 4-year longitudinal study indicating that a 60-min increase in average time spent for the use of social media (e.g., television viewing and computer use) in a given year was correlated with a 0.21 unit increase in the severity of anxiety symptoms within that same year [<xref ref-type="bibr" rid="ref-56">56</xref>]. These findings suggest that ST should be limited, especially before bedtime, to improve sleep hygiene and foster overall health.</p>
<p>In this context, a considerable number of studies provided evidence for the importance of physical exercise in alleviating negative emotions including depression and anxiety [<xref ref-type="bibr" rid="ref-57">57</xref>&#x2013;<xref ref-type="bibr" rid="ref-59">59</xref>]. A recent review emphasized that physical exercise can positively influence several neurobiological processes, such as brain plasticity, neurogenesis, and neuroprotection, facilitated by neurotrophic factors such as brain-derived neurotrophic factor (BDNF) [<xref ref-type="bibr" rid="ref-60">60</xref>]. Moreover, physical exercise decreases neural responses to stress in brain regions that regulate sympathetic activity, thereby supporting the interaction between the heart and brain known as &#x2018;heart-brain crosstalk&#x2019; [<xref ref-type="bibr" rid="ref-60">60</xref>]. These exercise-induced changes in specific neurobiological processes may converge on a behavioral level in lower levels of anxiety and depression. Collectively, physical exercise can reduce both central and peripheral sympathetic activity, selectively influencing neurochemicals like norepinephrine. This modulation potentially mitigates the mental health effects associated with oxidative stress and immune suppression [<xref ref-type="bibr" rid="ref-61">61</xref>]. Additionally, meeting a higher number of guidelines provided in the 24-HMB recommendations is associated with a lower likelihood of experiencing internalizing problems, such as depression and anxiety [<xref ref-type="bibr" rid="ref-62">62</xref>].</p>
</sec>
<sec id="s4_3">
<title>Associations between meeting the 24-HMB guidelines and externalizing problems</title>
<p>The results of our study indicate that meeting individual and combined components of the 24-HMB guidelines is associated with a reduced likelihood of externalizing problems. Specifically, meeting the PA and ST guidelines independently, as well as combinations such as PA &#x002B; ST, PA &#x002B; SL, and PA &#x002B; ST &#x002B; SL, are linked to reduced difficulties in making friends among our sample of preterm youth. The aforementioned findings partially align with results from previous studies involving youth with neurodevelopmental disorders, such as ASD [<xref ref-type="bibr" rid="ref-26">26</xref>] and ADHD [<xref ref-type="bibr" rid="ref-25">25</xref>]. Consistent with existing literature, our findings reinforce the idea that PA and physical fitness play crucial roles in the social development of youth [<xref ref-type="bibr" rid="ref-63">63</xref>,<xref ref-type="bibr" rid="ref-64">64</xref>]. Moreover, increasing evidence suggests that reducing leisure ST can enhance youth&#x2019;s social skills by allowing more time for interpersonal connections, potentially facilitating the development of friendships [<xref ref-type="bibr" rid="ref-65">65</xref>,<xref ref-type="bibr" rid="ref-66">66</xref>]. Our study demonstrated that meeting any combination of the three 24-HMB guidelines is linked to improved friendship scores. Therefore, promoting adherence to the 24-HMB guidelines among preterm youth, their caregivers, and stakeholders appears beneficial when aiming to mitigate externalizing problems in preterm youth.</p>
<p>Our findings indicate that meeting individual (such as SL or ST) or combined 24-HMB guidelines (such as PA &#x002B; SL, SL &#x002B; ST, and PA &#x002B; SL &#x002B; ST) is associated with a reduced frequency of arguments. This suggests that maintaining adequate sleep duration and limiting ST are important factors that may influence argument frequency. A growing amount of evidence suggests that sufficient sleep quality and duration can enhance emotion regulation [<xref ref-type="bibr" rid="ref-67">67</xref>], potentially leading to fewer school-related issues and arguments. Moreover, the findings of a meta-analysis indicated that increased ST was associated with higher levels of externalizing behavior problems like aggression and inattention [<xref ref-type="bibr" rid="ref-68">68</xref>]. This association may be attributable to potential exposure to inappropriate content, including aggression and violent behavior [<xref ref-type="bibr" rid="ref-68">68</xref>]. However, our findings did not establish a link between meeting the PA guideline and issues related to arguments. This observation is perhaps related to the competitive nature of certain types of PAs that youth commonly participate in (e.g., football, basketball, rugby, boxing), which may increase the likelihood of argumentative behavior [<xref ref-type="bibr" rid="ref-69">69</xref>]. Based on this observation and considering that associations with either SL or ST became statistically significant in our cohort of preterm youth, prioritizing interventions that address ST and SL appears a promising option for future trials aimed at reducing externalizing problems. Furthermore, our findings indicate that meeting a higher number of 24-HMB guidelines is associated with a lower likelihood of experiencing externalizing problems. This underscores the notion that various lifestyle behaviors may work synergistically to enhance specific health outcomes.</p>
</sec>
</sec>
<sec id="s5">
<title>Limitations</title>
<p>While our study has offered valuable insights into the associations between meeting individual and combined components of the 24-HMB guidelines and cognitive difficulties, as well as internalizing and externalizing problems in preterm youth, several limitations must be acknowledged. First, the cross-sectional design limits our ability to establish causality. Second, the reliance on caregiver proxy reports in the NSCH survey to assess behaviors introduces potential biases arising from subjective reporting, such as parents&#x2019; tendencies to overestimate or underestimate their child&#x2019;s level of PA.</p>
<p>Given these limitations, it is imperative to utilize more objective and comprehensive assessment tools, such as accelerometer-based measurements of PA, to validate the findings of our study and further enhance our understanding of how meeting the 24-HMB guidelines impacts health outcomes in youth born preterm. Such evidence is crucial for developing effective interventions and policies aimed at promoting the overall health of this population. Additionally, future studies should consider a detailed analysis of different types of ST, distinguishing between cognitively passive activities (e.g., watching TV) and cognitively active activities (e.g., playing video games), as these may have distinct associations with mental health outcomes [<xref ref-type="bibr" rid="ref-41">41</xref>]. Given these considerations, it is prudent to interpret our results cautiously.</p>
<p>Based on the cross-sectional study design, which limits the applicability of our conclusions, future research should gather and analyze longitudinal data (e.g., from public data repositories such as the Biobank and Millennium Cohort Study), to study the directionality of changes in PA, ST, and SL, and its association with health-related outcomes (e.g., cognitive difficulties, internalizing and externalizing problems) among preterm youth. Moreover, future studies should investigate the unique impacts of interventions promoting the adherence to the 24-HMB in preterm youth, particularly in comparison to those born at term, to better understand the specific needs and health effects of lifestyle behaviors in this vulnerable population.</p>
</sec>
<sec id="s6">
<title>Conclusions</title>
<p>The findings of our study suggest that a significant number of preterm youths did not meet the 24-h Movement Behavior (24-HMB) guidelines. However, we observed that meeting these 24-HMB guidelines, comprising recommendations on physical activity, sleep, and screen time, was associated with better mental health outcomes, particularly for internalizing and externalizing problems in youth born preterm. To improve mental well-being among preterm youth, interventions should prioritize promoting healthy lifestyle behaviors, including higher levels of physical activity and reduced screen time, among youth born preterm and relevant stakeholders (e.g., teachers). Given that the prevalence of meeting the physical activity guideline was notably lower than other components of the 24-HMB guidelines, future physical activity interventions should be tailored to the specific needs of preterm youth. This includes developing target-group-specific physical activity manuals and providing psychological support, considering barriers and promoters of physical activity in this vulnerable population.</p>
</sec>
</body>
<back>
<ack>
<p>The authors wish to acknowledge the support received from various funding bodies, including the Shenzhen Educational Research Funding, the Shenzhen Science and Technology Innovation Commission, and the Social Science Foundation from China&#x02019;s Ministry of Education.</p>
</ack>
<sec>
<title>Funding Statement</title>
<p>This study was supported by the Shenzhen Educational Research Funding (Grant No. zdzb2014), the Shenzhen Science and Technology Innovation Commission (Grant No. 202307313000096), the Social Science Foundation from China&#x2019;s Ministry of Education (Grant No. 23YJA880093), a Post-Doctoral Fellowship (Grant No. 2022M711174), the National Center for Mental Health (Grant No. Z014), and a Research Excellence Scholarship of Shenzhen University (Grant No. ZYZD2305).</p>
</sec>
<sec>
<title>Author Contributions</title>
<p>Zhihui Cheng conceptualized the study, analyzed the data, and wrote the first draft of the manuscript. All other authors revised and edited the manuscript drafts. All authors reviewed the results and approved the final version of the manuscript.</p>
</sec>
<sec sec-type="data-availability">
<title>Availability of Data and Materials</title>
<p>The datasets generated and/or analyzed during the current study are available in the U.S. Census Bureau repository at <ext-link ext-link-type="uri" xlink:href="https://www.childhealthdata.org/browse">https://www.childhealthdata.org/browse</ext-link> (accessed on 20 July).</p>
</sec>
<sec>
<title>Ethics Approval</title>
<p>The study was approved by the Ethics Committee of the Shenzhen University (IRB number: PN-2022-00075). No participants received financial incentives, and all participants signed the informed consent in this study.</p>
</sec>
<sec sec-type="COI-statement">
<title>Conflicts of Interest</title>
<p>The authors declare that they have no conflicts of interest to report regarding the present study.</p>
</sec>
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