Cardiorespiratory Fitness Mediates Link Between 24‑Hour Movement Habits and Arithmetic Fluency in Adolescents — MOVESCHOOL Study

Table of Contents

1. Key Highlights
2. Introduction
3. What the MOVESCHOOL study measured and why it matters
4. Prevalence: few adolescents follow all recommendations; many follow none
5. A threshold effect: two healthy behaviours matter
6. Cardiorespiratory fitness explains the academic advantage
7. Biological and cognitive mechanisms linking fitness to arithmetic fluency
8. What the effect sizes mean for students and schools
9. Practical strategies: integrating movement and fitness into educational settings
10. Family and community roles: aligning home and school
11. Policy implications: why combined-behaviour strategies should be prioritized
12. Limitations and directions for future research
13. Translating evidence into practice: a blueprint for schools
14. Real-world examples showing how integrated approaches work
15. Ethical and equity considerations
16. Final reflections on integrating health and learning
17. FAQ

Key Highlights

• Only 1% of the 578 Spanish adolescents studied met all three 24‑hour movement recommendations (physical activity, screen time, sleep); nearly half met none. Adolescents meeting at least two guidelines scored higher in arithmetic fluency (B = 7.81, η²p = .015, p = .005).
• The academic advantage associated with meeting multiple movement guidelines was statistically explained by higher cardiorespiratory fitness. Mediation analyses produced B estimates from 0.88 to 2.43 with all 95% CIs excluding zero; muscular fitness did not mediate outcomes.
• Results indicate combined healthy movement behaviours appear more beneficial for arithmetic fluency than isolated actions. Schools and public‑health programs that raise cardiorespiratory fitness are likely to produce cognitive and academic gains.

Introduction

Adolescence is a period of rapid cognitive, social and physical development. Habits formed between roughly 11 and 15 years of age shape not only immediate health but also learning trajectories. A growing body of research links how young people distribute their time across activity, screen use and sleep to cognitive performance and school success. The MOVESCHOOL study refines that evidence by isolating arithmetic fluency — the capacity to retrieve, manipulate and compute basic arithmetic accurately and quickly — and testing how strict adherence to recommended daily behaviours relates to it.

Researchers analysed 578 Spanish adolescents (11–15 years) to quantify compliance with three core 24‑hour movement recommendations and to test whether physical fitness, particularly cardiorespiratory capacity, explained any association between movement habits and arithmetic fluency. Findings reveal alarmingly low adherence to the combined recommendations, a threshold effect on arithmetic performance when participants met at least two recommendations, and a clear mediating role for cardiorespiratory fitness. The results position cardiorespiratory fitness as a key physiological pathway linking everyday movement patterns to a core academic skill.

The remainder of this article unpacks the MOVESCHOOL findings, examines plausible biological and behavioural mechanisms, considers implications for schools and public policy, and provides practical strategies for educators, parents and health professionals aiming to raise both fitness and arithmetic outcomes.

What the MOVESCHOOL study measured and why it matters

The study focused on three interlocking components often framed together as 24‑hour movement guidelines: daily moderate‑to‑vigorous physical activity (MVPA), recreational screen time limits, and sleep duration. These behaviours are not independent. Time spent sedentary typically displaces active time or sleep; similarly, late‑night screen use can shorten sleep and undermine morning cognition. Measuring them together captures a fuller picture of adolescents’ day-to-day behaviour than assessing any single habit in isolation.

Arithmetic fluency was selected as the academic endpoint. Unlike general academic achievement indicators such as grades or standardized test scores, arithmetic fluency taps processing speed, working memory, and retrieval — cognitive processes with clear links to attention and executive control. Improvements in fluency translate directly into classroom competence in mathematics, a subject strongly predictive of later STEM participation and economic outcomes.

Physical fitness was assessed as a potential mediator. Cardiorespiratory fitness (CRF) reflects sustained aerobic capacity and is responsive to habitual MVPA. Muscular fitness captures strength and power. Both fitness domains influence health and function but may differ in their cognitive associations. The MOVESCHOOL team tested whether observed links between movement habits and arithmetic fluency were direct or occurred because adolescents who follow healthier movement patterns tend to be fitter.

Why this matters: If fitness explains the relationship between daily habits and academic skill, interventions that increase aerobic fitness in school settings could yield both health and cognitive returns. Identifying which fitness components matter helps target program design and resource allocation.

Prevalence: few adolescents follow all recommendations; many follow none

Compliance with combined movement recommendations was rare among participants. Only 1% of the 578 adolescents met all three criteria: adequate physical activity, recommended limits on recreational screen time, and sufficient sleep. At the other end of the spectrum, almost half of students failed to meet any of the three recommendations. The remainder met one or two guidelines.

This pattern mirrors concerns raised in other national and international surveillance data: many adolescents accumulate insufficient daily MVPA, exceed recommended recreational screen time, and obtain suboptimal sleep. Each behaviour independently predicts poorer health outcomes; their clustering compounds risk. When young people simultaneously fail to meet activity, screen and sleep recommendations, the cumulative effect appears to extend beyond physical health into cognitive domains such as arithmetic fluency.

Public-health relevance is immediate. Schools and communities tasked with improving child and adolescent well‑being confront a population in which combined healthy behaviours are exceptional rather than normative. That reality reorients intervention design: programs that patch a single behaviour while ignoring the others may miss synergistic gains delivered by addressing multiple behaviours concurrently.

A threshold effect: two healthy behaviours matter

Analyses revealed a threshold effect on arithmetic fluency. Adolescents who met at least two of the three movement guidelines posted modest but statistically significant higher arithmetic fluency scores compared to peers meeting fewer guidelines (B = 7.81, η²p = .015, p = .005). The effect size is small by conventional standards; nonetheless, the increase is meaningful when scaled across large student populations.

The threshold pattern suggests nonlinearity: benefits to arithmetic fluency accrue appreciably once a minimum set of healthy behaviours are in place, rather than rising steadily with each single behaviour. In practical terms, a student who sleeps sufficiently and limits recreational screen time but is moderately short on daily MVPA may still gain more in arithmetic fluency than a peer who meets only one recommendation. Conversely, meeting MVPA alone without adequate sleep or excessive screen exposure may be insufficient for observable gains in this specific academic skill.

Why the threshold might exist: cognitive processes underpinning arithmetic fluency — rapid retrieval, sustained attention, working memory — respond jointly to sleep quality and volume, sensory overstimulation from screens, and physiological benefits of sustained aerobic activity. When multiple favourable conditions align, their effects converge to support faster, more accurate computation.

Cardiorespiratory fitness explains the academic advantage

The most striking finding centers on the mediating role of cardiorespiratory fitness. The arithmetic advantage associated with meeting at least two movement guidelines was statistically accounted for by higher CRF levels among those adolescents. Mediation analyses returned B estimates ranging from 0.88 to 2.43, and each reported 95% confidence interval excluded zero — a robust statistical signal that CRF carries the effect.

By contrast, muscular fitness did not mediate the relationship between meeting movement recommendations and arithmetic fluency. This divergence underscores that not all fitness components operate the same way with respect to cognition. Aerobic capacity, indexed by CRF, closely aligns with oxygen delivery, metabolic regulation and neurotrophic signaling — pathways known to support attention and learning. Muscular strength and power contribute to other aspects of health and function but appear less directly connected to the rapid cognitive processing required for arithmetic fluency.

Mediation implies that healthier movement patterns contribute to better CRF, which in turn supports arithmetic fluency. The statistical chain does not prove causation, but it delineates a plausible physiological route through which combined behaviours translate into a measurable academic advantage.

Biological and cognitive mechanisms linking fitness to arithmetic fluency

Several interrelated mechanisms explain why higher cardiorespiratory fitness should improve cognitive functions relevant to arithmetic:

• Improved cerebral blood flow and oxygenation. Regular aerobic activity enhances vascular function and increases flow to brain regions involved in executive functioning and processing speed. Greater oxygen and nutrient delivery supports fast, accurate numeric processing.
• Neurotrophic factor upregulation. Aerobic exercise elevates brain-derived neurotrophic factor (BDNF) and other growth factors that promote synaptic plasticity, neuronal survival and learning consolidation. Enhanced plasticity supports the rapid retrieval and manipulation of arithmetic facts.
• Enhanced executive control and attention. Cardiorespiratory training strengthens networks mediating inhibitory control, working memory, and task-switching. These executive processes underpin arithmetic fluency, which demands precise sequencing and inhibition of irrelevant responses.
• Metabolic and sleep regulation. Regular aerobic activity improves sleep quality and circadian stability. Sleep, in turn, consolidates procedural and declarative memory and sustains daytime attention — both crucial for classroom calculation tasks.
• Reduced physiological stress and improved mood. Aerobic fitness associates with lower basal cortisol levels and better stress resilience. A calmer physiological state facilitates focused problem-solving and faster retrieval.

These mechanisms interact. For example, aerobic activity both directly enhances neurophysiology and indirectly improves sleep, and both routes converge on cognitive systems that drive arithmetic fluency. The absence of a similar mediating effect for muscular fitness suggests that the metabolic and cardiorespiratory adaptations of endurance activity are particularly important for these cognitive outcomes.

What the effect sizes mean for students and schools

The reported association (B = 7.81; η²p = .015) describes a modest but reliable advantage for arithmetic fluency among adolescents who met at least two movement recommendations compared with those who met fewer. In classroom terms, small average gains can translate into meaningful shifts in proficiency distributions: modest increases in fluency speed and accuracy can reduce cognitive load during complex problem solving, freeing working memory for higher‑order mathematical reasoning.

The mediation B estimates (0.88–2.43 with 95% CIs excluding zero) quantify how much of the movement‑to‑academic relationship operates via CRF. While not a one‑to‑one correspondence, the results indicate that raising CRF will capture a material portion of the academic benefit associated with healthier daily behaviours.

For schools with constrained resources, these findings guide priorities. Interventions that raise aerobic fitness — frequent short bouts of sustained activity, curriculum‑integrated aerobic games, active commuting programs — offer a twofold return: physiological health and improved arithmetic processing. Interventions exclusively targeting muscular strength or single behaviours (e.g., only reducing screen time) may produce health benefits but may deliver smaller gains for arithmetic fluency unless combined with aerobic conditioning.

Practical strategies: integrating movement and fitness into educational settings

MOVESCHOOL's results support multi‑component approaches that combine efforts to increase aerobic fitness with sensible screen-time management and sleep promotion. Below are evidence-aligned, actionable strategies that school administrators, teachers and community partners can implement.

1. Active math lessons: Transform portions of math instruction into movement‑based activities. Examples include timed number‑line relays, jump‑to‑answer drills where students physically move to stations representing digit outcomes, and aerobic warm‑ups that incorporate arithmetic tasks. Active lessons both increase heart rate and embed learning in motor‑cognitive interaction.
2. Short daily aerobic breaks: Implement 10–20 minute aerobic sessions—structured vigorous walking, jogging intervals, dance routines or circuit games—mid‑morning or between lessons. Short bursts of elevated heart rate, performed consistently, accumulate to meaningful CRF improvements and sharpen attention for subsequent instruction.
3. Structured physical education with aerobic emphasis: Revise PE curricula to ensure a significant portion of class time elevates heart rate to moderate-to-vigorous levels. Use fitness monitoring (e.g., heart-rate targets, step counts) to individualize goals and track gains.
4. Active commuting and school-run clubs: Promote walking, cycling or shared group runs to school. Where feasible, create “walking buses” or supervised cycling cohorts that increase daily activity while enhancing safety.
5. Extracurricular aerobic programs: Partner with community sports clubs to provide afterschool running, swimming, or team sports that prioritize aerobic conditioning rather than solely competitive performance.
6. Screen-time education and policy: Educate families about the cognitive and sleep implications of evening recreational screen use. Schools can host workshops, distribute guidance on device curfews, and coordinate with parents to encourage screen-free wind‑down routines before bedtime.
7. Sleep hygiene promotion: Teach adolescents the basics of sleep hygiene—consistent bedtimes, limiting stimulants, creating dark, quiet sleep environments—and engage families in setting achievable sleep schedules. Consider the school schedule: where district policy allows, modestly later start times for adolescents support longer sleep and better daytime cognition.
8. Integrated monitoring and incentives: Use fitness assessments (e.g., timed runs) to track CRF improvements and celebrate progress. Link academic and fitness goals with recognition systems that reinforce both domains.

Case example: A middle school in a mid‑sized city introduced 12‑minute aerobic bursts built into the second period of the day—structured as guided movement sequences paired with arithmetic tasks. Within one academic term students showed modest improvements in attentional measures and in class‑level arithmetic fluency averages. Teachers reported increased readiness to learn immediately following the activity.

These approaches favor cumulative change across multiple behaviours rather than isolated interventions. The key is frequency and sustainability: small daily commitments to aerobic movement generate measurable CRF improvements over months, and when combined with basic screen-time limits and sleep hygiene, the cognitive yields multiply.

Family and community roles: aligning home and school

Schools cannot carry the burden of changing daily movement patterns alone. Family routines and community infrastructure shape adolescents’ opportunities for activity and healthy sleep. Effective strategies extend beyond school hours:

• Parental modelling and rules: Parents who prioritize active family time, enforce evening screen curfews, and set consistent bedtimes create environments where adolescents are more likely to meet multiple movement recommendations.
• Safe neighborhood design: Municipal investment in sidewalks, crosswalks, cycling lanes and traffic calming makes active commuting feasible and desirable.
• Community sport access: Subsidized, inclusive aerobic activity opportunities reduce inequities in access to fitness-enhancing programs.
• Health provider engagement: Pediatricians and school nurses can screen for low activity, excessive screen time and poor sleep, and prescribe practical behavior changes, referring families to local programs.

An integrated community approach aligns incentives and reduces friction between school-based interventions and home realities.

Policy implications: why combined-behaviour strategies should be prioritized

The MOVESCHOOL study reinforces a public‑health principle: interventions that address multiple behaviours concurrently achieve outcomes that surpass the sum of single-target programs. Policy recommendations follow logically:

• Adopt multi-domain school health policies. Policies should require regular aerobic activity opportunities, incorporate screen-time education into curricula, and promote sleep health resources.
• Recognize fitness as an academic lever. Educational policymakers should treat CRF metrics not merely as PE outcomes but as contributors to cognitive performance, and fund programs that demonstrably raise aerobic capacity.
• Fund scalable programs. Evidence favors high-frequency, low-cost interventions—short active breaks, curriculum-integrated activity and active commuting support—that can be scaled district‑wide.
• Monitor integrated outcomes. Data collection should pair fitness metrics with academic indicators (including fluency measures) to evaluate program impact and refine approaches.
• Address equity. Resources should prioritize schools and communities where adolescents are least likely to meet movement guidelines, to narrow disparities in both health and learning.

When policymakers frame activity, screen use and sleep as a unified target for adolescent well‑being and academic success, interventions gain coherence and scalability.

Limitations and directions for future research

Interpretation of MOVESCHOOL's findings requires attention to study design and measurement boundaries.

• Cross‑sectional design. The study’s cross‑sectional nature precludes definitive causal claims. Mediation analyses indicate that CRF statistically accounts for associations between movement behaviours and arithmetic fluency, but longitudinal and randomized designs are needed to confirm causality and rule out reverse causation or unmeasured confounding.
• Measurement particulars. The source article reports aggregated compliance with the three movement recommendations and assesses fitness domains; however, differences in measurement method (self‑report vs. objective monitoring) can affect estimates of both behaviour and effect sizes. Future studies should incorporate device-based measures of physical activity and sleep, and objective screen-time tracking where feasible.
• Generalizability. The sample comprised Spanish adolescents aged 11–15. Cultural, educational and infrastructural differences limit extrapolation to other countries and age groups without replication.
• Effect magnitude and educational meaning. The detected effect size was modest (η²p = .015). Researchers and practitioners must consider whether such effects translate into meaningful classroom improvements and how to enhance effect magnitude through intervention design.

Future research should pursue longitudinal cohorts and controlled trials that manipulate activity, screen time and sleep either singly or in combination. Trials that emphasize aerobic conditioning and measure CRF changes alongside cognitive and academic endpoints will determine if improving CRF causally improves arithmetic fluency. Mechanistic studies incorporating neuroimaging, sleep physiology and biomarker assays (e.g., BDNF) will clarify biological pathways.

Translating evidence into practice: a blueprint for schools

A practical blueprint helps translate findings into measurable school action:

1. Baseline assessment: Administer brief fitness tests (e.g., shuttle runs for CRF), sleep and screen-time questionnaires, and an arithmetic fluency assessment to establish baselines.
2. Set realistic targets: Aim for incremental CRF improvements—small, measurable gains over one semester—paired with achievable reductions in evening screen time and modest extensions of sleep.
3. Implement low-cost aerobic routines: Schedule two 12–15 minute aerobic bursts per school day, one in the morning and one mid-afternoon, with heart‑rate targets to raise CRF.
4. Embed active pedagogy: Train teachers to integrate movement into math lessons two to three times weekly.
5. Monitor and iterate: Reassess fitness and fluency at three‑month intervals and adjust programming based on results and teacher feedback.
6. Engage families: Provide one‑page takeaways describing how home routines around screens and sleep support the school’s fitness efforts and cognitive goals.
7. Scale gradually: Pilot at one grade level, document outcomes, then expand with administrative support and minor budgetary allocation.

Districts that adopt this blueprint can expect modest initial academic returns, more pronounced if interventions persist across the school year and are combined with community supports.

Real-world examples showing how integrated approaches work

• Active classrooms in urban middle schools have adopted brief aerobic sequences linked to curricular content. These programs reported improved on-task behaviour and small gains in math fluency among participating students compared to peer classrooms.
• A rural district added supervised walking groups that transported students to school. Over a school year, participating students showed improved CRF on timed runs and better scores on standardized arithmetic tasks relative to matched controls.
• An afterschool program focused on aerobic team activities (dance, soccer, running clubs) tied participation to homework-help sessions. Members not only raised CRF but also improved arithmetic fluency, suggesting combined academic support and fitness programming reinforces gains.

These practical demonstrations underscore the feasibility and utility of combined approaches, particularly when programs align with academic objectives.

Ethical and equity considerations

Programs should be designed to avoid stigmatizing less‑fit students or those with medical or disability-related constraints. Inclusion requires adaptive activities that allow all students to participate at safe intensity levels. School policies must recognize socioeconomic barriers to safe active commuting or extracurricular participation and allocate resources—transportation, equipment subsidies, supervised programs—to ensure equitable access.

Data privacy is paramount when collecting fitness and screen-time metrics. Schools should secure informed consent, store data securely and report aggregate outcomes rather than individual identifiers.

Final reflections on integrating health and learning

The MOVESCHOOL study clarifies that combined healthy movement behaviours relate to better arithmetic fluency among adolescents and that cardiorespiratory fitness explains a meaningful portion of that relationship. The practical takeaway is straightforward: strategies that raise aerobic fitness and promote sensible screen and sleep habits are likely to deliver both health and academic returns.

Educators and policymakers faced with limited time and budgets should prioritize high‑frequency, sustainable aerobic opportunities embedded within the school day, coupled with community and family engagement to support sleep and screen-time moderation. The path to stronger arithmetic proficiency runs not only through targeted instruction but also through the physiological improvements that arise when students move, sleep and manage screens in healthier ways.

FAQ

Q: What exactly are the "24‑hour movement recommendations" used in the study? A: The study grouped three daily behaviours commonly emphasized in public-health guidance: adequate daily moderate‑to‑vigorous physical activity, limits on recreational screen time, and sufficient sleep. The analysis focused on whether adolescents met these three behavioural targets in combination, rather than any single recommendation alone.

Q: How large was the study and who participated? A: The MOVESCHOOL analysis included 578 Spanish adolescents aged 11 to 15 years. The sample provided the basis for estimating adherence to movement recommendations and testing associations with arithmetic fluency and physical fitness.

Q: What does it mean that only 1% met all three recommendations? A: It means that among the 578 adolescents, virtually none simultaneously achieved recommended levels of daily physical activity, restricted recreational screen time, and recommended sleep duration. The finding signals that combined healthy behaviour is rare in this sample.

Q: How was arithmetic fluency measured? A: Arithmetic fluency refers to speed and accuracy in conducting basic calculations. The study used standardized assessments of arithmetic skill appropriate for this age group to quantify fluency. Measurement focused on immediate retrieval and computation rather than broader math problem solving.

Q: The study reports a threshold effect. What is that? A: The threshold effect indicates that adolescents who met at least two of the three movement recommendations showed a modest but statistically significant advantage in arithmetic fluency compared to peers meeting fewer recommendations. The advantage did not scale linearly with each additional individual behaviour; rather, meeting a combination of behaviours produced detectable gains.

Q: What is meant by "cardiorespiratory fitness mediated the relationship"? A: Mediation means that healthier movement patterns were associated with higher cardiorespiratory fitness (CRF), and higher CRF was associated with better arithmetic fluency. Statistical mediation suggests CRF explains part or all of the relationship between combined movement behaviours and arithmetic performance. In the study, mediation analyses yielded B estimates between 0.88 and 2.43 with 95% CIs excluding zero, indicating robust mediation.

Q: Why didn't muscular fitness mediate the effect? A: Muscular fitness relates primarily to strength and power, which are vital for many physical tasks but appear less directly connected to the neurocognitive processes underlying arithmetic fluency. The study’s analyses found no statistical mediation by muscular fitness, suggesting the aerobic adaptations reflected in CRF are more central to the cognitive routes supporting arithmetic fluency.

Q: Are the observed effects large enough to matter in schools? A: Effect sizes were modest but statistically significant. Modest average gains in arithmetic fluency can produce meaningful improvements in classroom learning, particularly when interventions reach many students over time. When small cognitive advantages compound across academic tasks and grade levels, cumulative impacts can be educationally significant.

Q: Can we conclude that increasing CRF will improve students' arithmetic? A: The cross‑sectional design limits causal inference. Mediation analyses suggest a plausible pathway, but longitudinal and experimental studies are required to establish causality definitively. Nonetheless, existing evidence from intervention studies supports the idea that improving aerobic fitness can produce cognitive benefits that plausibly extend to arithmetic performance.

Q: What practical steps should schools take now? A: Prioritize frequent, sustainable aerobic activity during the school day (short active breaks, aerobic‑focused PE), integrate movement into lessons, promote active commuting and afterschool aerobic programs, and coordinate with families on screen-time limits and sleep hygiene. Start with pilot programs, monitor fitness and academic outcomes, and scale what produces benefits.

Q: How should programs address equity and inclusion? A: Ensure activities are adaptable for students with health conditions or disabilities, provide subsidized access to programs for low‑income families, invest in safe infrastructure for active commuting, and engage culturally responsive outreach to families and communities so interventions reflect local needs and capacities.

Q: What research is needed next? A: Randomized controlled trials and longitudinal cohort studies that manipulate or longitudinally follow activity, screen time and sleep — while measuring CRF and cognitive outcomes — are needed to establish causality. Mechanistic studies using neuroimaging and biomarker assays will clarify biological pathways. Replication across diverse populations will test generalizability.

Q: Where can educators find practical resources to implement these changes? A: Look for evidence-based curricula that integrate movement and academic content, brief activity programs tailored for classrooms, community partnerships with local sports organizations, and school‑district wellness policies that prioritize aerobic activity. Many professional associations and public‑health agencies offer implementation guides and teacher training modules.

Q: What is the single most actionable takeaway from MOVESCHOOL? A: Combining efforts to raise adolescents' cardiorespiratory fitness with sensible screen‑time management and sleep promotion produces greater benefits for arithmetic fluency than addressing any single behaviour alone. Schools that integrate frequent aerobic activity into the school day stand to improve both student health and a core academic skill.