Literature DB >> 35805432

Classroom Movement Breaks and Physically Active Learning Are Feasible, Reduce Sedentary Behaviour and Fatigue, and May Increase Focus in University Students: A Systematic Review and Meta-Analysis.

Julia Lynch1, Gráinne O'Donoghue2, Casey L Peiris1.   

Abstract

Background: University students are mostly sedentary in tertiary education settings which may be detrimental to their health and learning. This review aimed to examine the feasibility and efficacy of classroom movement breaks (CMB) and physically active learning (PAL) on physical and cognitive outcomes in university students in the tertiary setting.
Methods: Five electronic databases (MEDLINE, CINAHL, Embase, PsychINFO, and PubMed) were searched for articles published up until November 2021. Manual searching of reference lists and citation tracking were also completed. Two reviewers independently applied inclusion and exclusion criteria and completed quality assessment. Articles were included if they evaluated CMB or PAL interventions delivered to university students in a tertiary setting.
Results: Of the 1691 articles identified, 14 studies with 5997 participants met the inclusion criteria. Average study quality scores were poor for both CMB and PAL studies. CMBs and PAL are feasible in the tertiary setting and increase physical activity, reduce sedentary behaviour, increase wellbeing, and reduce fatigue in university students. In addition, CMBs increased student focus and attention in class and PAL had no detrimental effect on academic performance. Conclusions: University educators should feel confident in introducing CMB and/or PAL interventions into their classes to improve student health and wellbeing.

Entities:  

Keywords:  academic performance; attention; cognition; cognitive functions; college; exercise; mental fatigue; tertiary; universities

Mesh:

Year:  2022        PMID: 35805432      PMCID: PMC9265656          DOI: 10.3390/ijerph19137775

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   4.614


1. Introduction

People of all age groups are spending large amounts of time sedentary [1,2,3] and are not achieving physical activity recommendations [4,5,6,7]. Sedentary behaviour is any behaviour whilst awake that utilises ≤1.5 metabolic equivalents (METs) of energy expenditure in a sitting, reclining, or lying position [8], a common behaviour seen in university students in lecture theatres and classrooms and while studying [1]. In addition, there is an observed decline in physical activity in early adulthood [9] which, unlike other behaviours such as smoking and binge drinking of alcohol, is a behaviour that does not resolve [10]. High levels of sedentary behaviour are associated with poor cardiometabolic and mental health in children and adolescents [11] and several chronic diseases in adults including diabetes and cardiovascular disease [4,12]. Conversely, physical activity is associated with increased cardiometabolic health, improved cognitive and academic outcomes, and decreased risk of depression in children and adolescents [11]. In adults it is associated with decreased all-cause mortality [4], improved mental health [13,14], and cognitive function [15]. With increased sedentary behaviour and reduced physical activity within all age groups across the world resulting in poorer physical and cognitive health outcomes, there is a need to determine strategies to facilitate change. Compared to university students who are more active, those who are less active have an increased chance of obesity [16,17,18] and its associated metabolic risk factors [19,20]. This period of early adulthood can be a critical time for the development of obesity as an increased body mass index (BMI) during this time is associated with higher morbidity, premature mortality, and chronic obesity [21]. As well as the health benefits of physical activity, observational studies have shown increased physical activity is linked to improved cognitive function including executive function in university students [22,23,24], improved mood, lowered stress [25], and improved working memory capacity [26]. In contrast, sedentary behaviour related to uninterrupted sitting has been shown to increase discomfort and sleepiness [27] in this population. Therefore, university students are an important cohort to target with interventions to reduce sedentary behaviour and increase physical activity to improve their current and future health outcomes. Classroom movement breaks (CMB) (a brief exercise break designed to be time efficient and feasibly implemented in the classroom) [28] and physically active learning (PAL) (combination of physical activity with academic content) [29] are two potential strategies that could be used to reduce sedentary behaviour and increase physical activity in university students, and they may have additional cognitive benefits. Previous systematic reviews found that CMB and PAL interventions are feasible [30,31] and increase physical activity in preschool [29], primary [29,32,33] and secondary [33] students but have limited effect on academic performance [29,32,33]. Published reviews have also synthesised data on the use of active workstations [34,35] (a form of PAL) and physical activity breaks [36] (a form of CMB) in the adult working population and found they were feasible [37], increased physical activity, resulted in positive physiological changes [34,36] and were not detrimental to productivity [34,35]. To our knowledge, there are no reviews of CMB or PAL in university students. Encouragingly lab-based studies of university students have found that low to moderate intensity movement breaks improve cognition [38,39,40], learning and memory [39,41], and executive function [38], and cycling while studying reduced sympathetic reactivity to stress which may be important for learning [42]. However, there is limited evidence on feasibility and effectiveness in tertiary education settings. Therefore, this systematic review seeks to determine whether PAL and CMB are feasible and effective for university students in the tertiary setting.

2. Methods

2.1. Registration

The systematic review was registered prospectively with PROSPERO, the international register of systematic reviews, in February 2021 (registration number: CRD42021230524). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was adhered to when conducting and reporting this review.

2.2. Search and Study Selection

A keyword search of the literature was conducted from the earliest date available until 22 November 2021 within the following databases: MEDLINE, CINAHL, Embase (OVID), and PsychINFO. The search was then amended for PubMed (Supplementary File S1). These five databases were chosen as they are all major search platforms that index research related to education, physical, and cognitive health. The search strategy included key words and their synonyms in two categories: ‘intervention’ (e.g., movement break, physically active learning) and ‘population’ (e.g., tertiary, college, university). Synonyms were combined with the ‘OR’ operator and categories were combined with the ‘AND’ operator. No filters were applied. Manual searching of the reference lists of included studies and citation tracking of included studies were also completed via Google Scholar to identify any additional studies. For inclusion in the review, studies had to involve participants who were university/tertiary students at any level of study. The intervention had to be a movement break or physically active learning within a tertiary, university, college, or higher education institutional setting (i.e., classroom, library, or study area). Studies had to be peer reviewed papers published in English. Studies were excluded if they were conducted in university-aged students in a laboratory setting as we wanted to evaluate the real-world feasibility and effect of CMBs and/or PAL. Studies had to assess outcomes related to feasibility, physical outcomes (physical activity, upright time), or cognitive outcomes (concentration, academic results).

2.3. Study Selection

Search results were managed in Covidence, an online screening and data extraction tool for systematic review management [43]. Two reviewers (JL and CP) independently applied the inclusion and exclusion criteria to the titles and abstracts of all identified studies to determine which needed to be sourced in full text. Any disagreements were discussed until consensus was reached. If consensus could not be reached, a third reviewer was consulted (GO’D). When articles could not be confidently excluded based on title and abstract, full text articles were obtained, and the same process was applied for selection of articles based on the full text. The agreement between the two reviewers was calculated using the Cohen’s Kappa coefficient (κ) statistic with 0.21 to 0.40 considered fair agreement, 0.41 to 0.60 considered moderate, 0.61 to 0.80 considered substantial, and 0.81 to 0.99 considered almost perfect agreement [44].

2.4. Data Extraction

A data extraction form was developed and applied by one reviewer (JL) and checked for accuracy by a second reviewer (CP). Data were extracted on study location, sample size, participant characteristics (age, gender, body mass index, physical activity, academic performance, ethnicity), intervention details (type of movement, duration/intensity, location and supervision of intervention), cognitive outcome measures (e.g., academic results, enjoyment, focus), physical outcome measures (e.g., physical activity, sedentary behaviour), and results. The authors of one study [45] were contacted to obtain missing information.

2.5. Study Quality and Risk of Bias

Following PRISMA guidelines, all trials were critically appraised for methodological quality and risk of bias by two independent reviewers (JL and GO’D) using the Downs and Black checklist, a quality assessment tool to assess the methodological quality of randomised and non-randomised trials [46]. The checklist consists of 27 items across five sections and provides an overall rating for study quality and a numeric score out of 32 [46]. The five sections assess reporting (9 items), external validity (3 items), bias (7 items), confounding (6 items), and power (1 item). The scoring of item 27, which refers to the power of the study, was modified. Instead of rating according to an available range of study powers, we rated whether the study did or did not perform a power calculation as per previous reviews [33,47,48]. Accordingly, the maximum score for item 27 was 1 (a power analysis was conducted) instead of 5 and thus the highest possible score for studies in this review was 28 (instead of 32). The modified Downs and Black score ranges were given corresponding quality levels as previously reported [47,48]: excellent (26–28); good (20–25); fair (15–19); and poor (≤14). Any discrepancies between reviewers were resolved through discussion until consensus was reached, if a consensus could not be reached, a third reviewer (CP) was consulted. The agreement between the two reviewers (prior to discussion) was calculated using the Cohen’s Kappa coefficient (κ) statistic. The checklist has high internal consistency, good face and criterion validity, and good re-test and inter-rater reliability [46].

2.6. Data Analysis

Where possible, meta-analyses of randomised controlled trial data were planned. Where studies had sufficient homogeneity in terms of interventions and outcomes, post-intervention data were pooled using random effects models and inverse variance methods to calculate mean differences and 95% confidence intervals using RevMan 5 [49]. Where meta-analyses were not possible, a narrative synthesis was completed. Data were grouped based on intervention type (either PAL or CMB) and outcome type (feasibility, physical or cognitive). Feasibility outcomes were grouped according to Bowen’s Framework for feasibility studies [50] which describes eight focus areas that may be addressed by feasibility studies: demand, acceptability, implementation, practicality, adaptation, integration, expansion, and limited efficacy testing. All studies were assessed against these eight focus areas and common focus areas were described. Physical outcomes of interest were time spent sedentary, upright, or active and cognitive outcomes of interest included academic performance, concentration, focus, and attention.

3. Results

The initial database search identified 1691 records. After removing duplicates (n = 148), 1543 records were screened by title and abstract. Agreement between reviewers was almost perfect (k = 0.870, 95% CI 0.757 to 0.983) when excluding 1527 articles. Sixteen full text articles were then assessed against the eligibility criteria with thirteen studies meeting the inclusion criteria. One further record was found through citation tracking and manual searching of reference lists of included studies. Figure 1 shows the reason for rejection at the full text article stage. Missing information was obtained from authors of one study and was included in this review [45].
Figure 1

PRISMA flow chart illustrating study inclusions through stages of the systematic review. Abbreviations: PAL, physically active learning; CMB, classroom movement break; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

3.1. Study Characteristics

Of the fourteen studies included, eight featured PAL interventions and six utilised CMB. Studies varied in design and were predominantly feasibility studies (n = 7) and randomised controlled trials (n = 3), with one each of a non-randomised controlled trial, cross-over intervention, single group intervention control and observational (see Table 1 and Table 2). Of the feasibility studies, five utilised surveys [51,52,53,54,55] and two mixed methods [56,57].
Table 1

PAL study characteristics.

Study, Design,LocationParticipantsBaseline CharacteristicsInterventionFeasibility OutcomesEfficacy Outcomes
Bastien Tardif et al. [53],feasibility study, Canadan = 99Mean age: 28 yearsGender: 43 M, 51 F, 5 NBBMI: 23.663% meeting PA guidelinesSedentary Time: 7.7 h/dayPhysical Activity: 4.1 h/dayExperimental: Choice of portable pedal exercise machine or standing deskWhen: Participant determinedWhere: LibraryDuration: 5 monthsSupervision: Participant self-supervisedControl: Conventional sitting desk

Qualitative questions on reason for choosing workstation type and barriers to use

Questionnaire on desirability, intention to use and possibility for future use of active workstation

Cognitive outcomes

None

Physical outcomes

Duration of use of active workstation

Clement et al. [56],mixed-methods feasibility study, USAn = 138Age: NRGender: NR Experimental: Choice of standingdesk, stationary bike, workstations,treadmill desks, or balance-ball chairsWhen: Participant determinedWhere: LibraryDuration: 5 monthsSupervision: Researcher and participant self- supervisedControl: Standard desk and chair

Survey of usage and perceptions of active learning space

Cognitive outcomes

Survey of perceived wellbeing

Physical outcomes

Ethnographic observations of equipment use

Grospretre et al. [51],feasibility study, Francen = 663Mean age: 19 yearsGender: 417 M, 246 FBMI 21.6Sedentary Time:82% ≥4 h/day25% ≥7 h/dayPA:40% >10 h/week,50% 5–10 h/weekExperimental: Choice of Standingdesks, swiss ball, upright cycling desk, or seated pedal/stepper boardWhen: During class, participant determined intensityWhere: ClassroomDuration: 6 monthsSupervision: Classroom teacher andparticipant self-supervisedControl: Standard desk and chair

Student and lecturer survey on feasibility and acceptability

Cognitive Outcomes

Student and lecturer survey of perceived effect on attention, boredom, stress, participation, distraction, and comprehension

Physical Outcomes

Estimation of duration of active workstation use

Jerome et al. [58],cross-over intervention, USAn = 496n survey = 143Mean age: 20 yearsGender: 37 M, 106 FBMI: 23.345% meeting PA guidelinesEthnicity: 86% whiteExperimental: Height adjustable sit-stand desksand stools, point of decision promptWhen: Participant determinedWhere: ClassroomDuration: 12 weeksSupervision: Participant self-supervisedControl: Traditional seated desk with armrests

Survey of perceived acceptability

Cognitive Outcomes

Survey of perceived changes in health and engagement

Physical Outcomes

Time spent standing

Sit–stand transitions/hour

Joubert et al. [45],randomised controlled trial,USAn = 9Age: 19–24 yearsGender: 7 M, 17 FPA score ^346.7 min/weekGPA 3.3Experimental: Stationary cycle desksWhen: During class at intensity RPE 2/10 for 50 minWhere: ClassroomDuration: 13 weeksSupervision: Classroom teacher and participant self-supervisedControl: Standard tables and chairs

Post-intervention survey on perceptions

Cognitive Outcomes

Academic performance class test scores and overall course grade

Physical Outcomes

Time spent cycling in class, distance, and RPE

Maeda et al. [52],feasibility study,USAn = 527Mean age: 26 yearsGender: NR Experimental: Portable pedal machines at desks. Prompts encouraging pedal machine useWhen: Participant determinedWhere: LibraryDuration: 11 weeksSupervision: Participant self-supervisionControl: None

Survey assessing attitudes towards intervention

Cognitive Outcomes

None

Physical Outcomes

Mean pedal time per day

Pedal machine use

Mnich et al. [59],observational study, Germanyn = 2809Age: NRGender:1882 M, 927 F Experimental: Sit–stand desks and decisional cuesWhen: Participant determinedWhere: Study areaDuration: 3 weeksSupervision: ResearchersControl: Baseline (no decisional cues)

None

Cognitive Outcomes

None

Physical OutcomesObserved sitting, standing, and active time
Pilcher et al. [60],randomised controlled trial,USAn = 59Mean age: 18 yearsGender: 42 M, 75 F Experimental: Stationary bike with desktopWhen: 2 h weekly at slow paceWhere: LibraryDuration: 10 weeksSupervision: Participants self-supervisionControl: Standard desk and chair

None

Cognitive Outcomes

Academic performance

Survey of motivation, morale, engagement, focus, commitment, and perceived effectiveness

Physical Outcomes

Time spent on stationary bike

Physical exertion

Sleep quality and quantity

Experimental = experimental group, Control = control group, M = male, F = female, NB = non-binary, NR = not reported, PA guideline = 150 min of moderate vigorous physical activity per week, ST = sitting time, PA = physical activity, ^ PA score = duration (min/week) × intensity (1 = low, 2 = moderate, 3 = high) × frequency (times per week of aerobic PA) + estimated minutes per week of general resistance training, RPE = rate of perceived exertion (on scale 1 = no exertion, 10 = maximal effort).

Table 2

CMB study characteristics.

Study,Design, LocationParticipantsBaseline CharacteristicsInterventionFeasibilityEfficacy
Blasche et al. [61],single-group intervention–control study, Austrian = 66Mean age: 23 yearsGender: 13 M, 53 F Experimental: 6 min unstructured break or exercise break or relaxation breakWhen: After 45 min of 2 h lectureWhere: Classroom lecture settingDuration: 4 weeksSupervision: Supervised by research assistantsControl: No break

None

Cognitive Outcomes

Wellbeing questionnaire on fatigue and vigour

Physical Outcomes

None

Ferrer and Laughlin [54],feasibility study,USAn = 53Mean age: NRGender: NR Experimental: Exercise break of unspecified durationWhen: Every 15 to 20 min in classWhere: Classroom settingDuration: One semesterSupervision: Supervised by professorsControl: None

Survey on perceptions of exercise breaks

Cognitive Outcomes

None

Physical Outcomes

None

Keating et al. [55],feasibility study, Republic of Irelandn = 106Age: 17–25+ yearsGender: 18 M, 87 F, 1 ND Experimental: 4 min of simple moderate intensity aerobic exercisesWhen: After 1 h and 45 min of 2 h lectureWhere: Classroom/lecture theatre settingDuration: One monthSupervision: ResearcherControl: None

Questionnaire to students on acceptability, appropriateness, and feasibility

Cognitive Outcomes

None

Physical Outcomes

None

Niedermeier et al. [62],randomised controlled trial,Austrian = 51Mean age: 22 yearsGender: 34 M, 17 FBMI: 22.7 intervention group, 22.6 control groupExperimental: Running for 10 min at 13–15 Borg RPE intensityWhen: After 45 min of lecture, for 10 minWhere: Outside of classroomDuration: One yearSupervision: Test leader and researcherControl: No break

None

Cognitive Outcomes

Visual attention with modified trail making test (Zahlen-Verbindungs-Test)

Perceived Attention and Affective States Questionnaire

Physical Outcomes

Distance ran during movement break

Paulus et al. [63],non-randomised controlled trial,Germanyn = 836Mean age: NRGender: NRBaseline activity: 96% spend entire 90 min lecture sitting. In total,2% interrupted with standing breaks,15% interrupt with stretching exercise and4% leave lecture due to long sittingExperimental: 5 min standing break or active breakWhen: After 45 min of class.Where: Classroom or lecture settingDuration: One semesterSupervision: By class lecturer, sports student, or participant self-supervisedControl: Open break

Survey of student and lecturer opinions of acceptability and practicality of breaks

Cognitive Outcomes

Survey of concentration, receptiveness, retention, motivation, and wellbeing

Physical Outcomes

None

Peiris et al. [57], mixed-methods feasibility study, Australian = 85Mean age: 23Gender: 26 M, 58 F, I NB Experimental: 5–10 min whole body exercise breakWhen: After every 20 min of a 2 h classWhere: Classroom setting and outside of classroomDuration: One semesterSupervision: By classroom tutors and participant self-supervisedControl: No break

Focus group interviews with students and tutors on feasibility

Cognitive Outcomes

Survey on perceived concentration, mental alertness, enjoyment using self-administered 10 cm VAS

Physical Outcomes

Objectively measured physical activity during class

Experimental = experimental group, Control = control group, M = male, F = female, NB = non-binary, NR = not reported, MET min = energy expenditure metabolic equivalent minutes, VAS = visual analogue scale.

The eight PAL studies included 4800 participants who were aged between 18 and 28 years. Five were conducted in general study areas (e.g., library) [52,53,56,59,60] and three in the classroom [45,51,58]. Most included a variety of students with one being conducted in the sports department [51] and one with exercise physiology students [45]. Most of the PAL studies (88%) were published in the last four years with the first published in 2014. Five studies were conducted in the USA [45,52,56,58,60] and one each in Canada [53], France [51], and Germany [59]. The six CMB studies included 1197 participants aged between 17 and 25 years mostly enrolled in sports or health science courses [55,57,61,62]. All CMB studies were published within the last four years. Two studies were conducted in Austria [61,62] and one each in Australia [57], Republic of Ireland [55], Germany [63], and the USA [54].

3.2. Quality Assessment

Average study quality scores were poor for both PAL (mean 12 out of 28, range 6 to 18) and CMB studies (mean 11 out of 28, range 6 to 21). Two CMB studies were considered good quality [57,62] and three PAL studies were of fair quality [45,58,60]. All but one CMB study [54] scored well for reporting and all studies clearly described the interventions and main findings of the study. No studies calculated power and most studies scored poorly on external validity with only three PAL studies [45,51,58] and four CMB studies [55,57,62,63] gaining a score for this item. Whether the participants were representative of all university students was unclear, and there was no blinding of participants or assessors in any study (Table 3). Agreement between reviewers on the Downs and Black quality scores for all included studies was almost perfect (k = 0.931, 95% CI 0.894 to 0.968).
Table 3

Results of the Downs and Black methodological quality assessment ranked by overall quality percentage score.

ReportingExternal ValidityInternal Validity (Bias)Internal Validity (Confounding)PowerTotal
Question Numbers 1–10 11–13 14–20 21–26 27
Maximum Score 11 3 7 6 1 28
PAL studies
Bastien Tardif et al. [53]603009
Clement et al. [56]402006
Grospretre et al. [51]513009
Jerome et al. [58]8144017
Joubert et al. [45]8154018
Maeda et al. [52]602008
Mnich et al. [59]8040012
Pilcher et al. [60]8043015
CMB studies
Blasche et al. [61]6044014
Ferrer and Laughlin [54]203106
Keating et al. [55]6220010
Niedermeier et al. [62]9353020
Paulus et al. [63]6142013
Peiris et al. [57]10353021

3.3. Intervention Design and Delivery

Of the eight PAL studies, four were conducted in the library setting [52,53,56,60], three in a classroom setting [45,51,58], and one in a common study area [59] (Table 1). Three of the PAL studies used a portable peddle machine or static cycling desk [45,51,52], two used a standing desk or sit to stand desk [58,59], and three included both cycling and standing options [51,53,56] as part of their intervention. Most PAL studies were unsupervised with participation self-reported by the students [52,53,56,59,60]. Three PAL studies involved some supervision by a researcher/classroom teacher [45,51,58]. In most of the PAL studies, duration and intensity were self-determined by the participant [51,52,53,56,58,59]. Two studies specified that they aimed to simulate low intensity physical activity [45,60] (Table 1). All CMB studies were set in a classroom or lecture theatre and comprised 4–10 min of movement without equipment (e.g., walking, running, aerobic exercises) (Table 2). Classroom movement breaks were conducted after 20 [54,57], 45 [61,62,63], or 105 [55] minutes of sedentary class time. All CMB interventions were supervised by academic [54,55,57,63] and/or research staff [53,62,63] with the intensity self-determined by the participants (Table 2).

3.4. Feasibility

Half of the included studies assessed feasibility of PAL or CMB interventions in the university setting by evaluating demand, acceptability, practicality, and integration [50]. Demand, in terms of active workstation or equipment use and preference, was evaluated in four PAL studies [51,52,53,56]. In the library setting, portable pedal exercise machines were used for an average of 51 [53] to 96 [52] minutes per day and standing desks were used for an average of 69 min per day [53]. Maeda et al. [52] observed pedal machines were used 15% of the time and Clement et al. [56] reported that 25% of students used the active learning space one to two times a week. In one study, standing desks were the preferred option for PAL [56], but in another, cycling desks and balance balls were preferred [51]. Bastien Tardiff et al. [53] found significant differences dependent on gender, with women participants preferring a cycling desk and men participants preferring a standing desk. The acceptability of PAL and CMB was addressed by seven PAL studies [45,51,52,53,56,58,60] and four CMB studies [54,55,57,63] in terms of satisfaction with intervention, intention to continue to use intervention, and perceived appropriateness of intervention. Satisfaction with PAL was explored in three studies [52,53,56] with most participants reporting they were in favour of active workstations [53], that active learning space helped their studying [56], and cycling desks were comfortable to use [52]. Two PAL studies demonstrated acceptability by reporting a lack of distraction and an ability to complete usual tasks while participating in PAL interventions [45,52]. The majority of PAL studies [45,51,52,53,58,60] measured intention to continue the use of PAL by participants. All studies reported that most participants would use PAL if available [45,51,53,58,60] or would prefer PAL to continue to be available in the future [52,56]. In three studies most participants (66% to 73%) reported they were satisfied with the CMB interventions [54,55,57]. Two CMB studies measured desire to continue CMBs with 93% of participants in one study approving the continuation of an active movement break [63] and participants rating their interest in continuing CMBs in other classes as 6.4 out of 10 [54]. CMBs were considered highly appropriate and not disruptive to class productivity in three studies [55,57,63]. Two PAL studies [51,56] and two CMB studies [57,63] assessed practicality by considering the positive and negative effects of the application of the intervention and ability to carry out the intervention. Grospretre et al. [51] recorded that half of their lecturers reported that the quality of the lecture was unaffected by the introduction of a PAL and 71% would continue to have active workstations in their classrooms despite 43% finding delivering the lecture more difficult [51]. Clement et al. [56] reported that two participants had raised the need for adequate instructions for active workstation use which could have affected participants ability to participate in the intervention. Both CMB studies [57,63] reported that careful planning and flexibility were required in the timing and duration of breaks to optimise benefits and reduce disruption. One PAL study [56] and one CMB study [55] assessed integration in relation to the current infrastructure of the setting. In addition to the PAL equipment, Clement et al. [56] reported the need for increased electrical outlets within the active learning space. Keating et al. [55] reported that space and seating constraints were limitations for integrating CMBs into classes.

3.5. Physical Outcomes

Students in PAL studies spent an average of 115 min per week each on a stationary bike whilst studying [60] and 213 min cycling in class per week [45]. Students with access to sit to stand desks in the classroom setting stood for six to eight minutes per hour compared to students with seated desks who stood for zero to two minutes per hour [58]. In classrooms with multiple active workstation options, 35% of students were active or upright for more than one hour of a two-hour class [51]. Prompts to increase physical activity whilst studying increased standing time from 6% of study time to 11% of study time [59]. Two CMB studies recorded physical activity levels during class. In one study, students took 834 (95%CI 675 to 994) more steps and spent 10 (95% CI 8 to 12) more minutes walking in classes with movement breaks compared to classes without movement breaks [57]. In the other, students ran 1100 to 1500 m in a 10 min movement break compared to those who were not in the movement break group who remained in the lecture theatre [62]. One PAL study [45] and one CMB study [63] reported changes in participants’ behaviour because of the intervention. Joubert et al. [45] reported that the PAL group participants described an increase in daily physical activity (outside of class) and Paulus et al. [63] reported that active break and standing break participants were inspired to break up their sitting more frequently in other settings.

3.6. Cognitive Outcomes

Academic performance was assessed in two randomised controlled trials of PAL interventions [45,60]. Considering the meta-analysis of two trials with 138 participants, studying on a stationary bike had no significant effect on final course grades compared to using a standard desk (MD 2.16, 95% CI −0.78 to 5.09, I2 0%) (Figure 2).
Figure 2

Meta-analysis of two trials of studying using stationary bikes vs. standard desk effect on final course grades [45,60].

One PAL study reported that 92% of participants found that the active learning space contributed positively to their wellbeing [56]. In single-group PAL studies, 20% [51] to 51% [58] of participants reported an increase in attention, and 36% reported an increase in focus [58]. However, there were no significant differences in self-reported focus between intervention and control groups in a randomised controlled trial [60]. Eighteen [51] to 35% [58] of students reported greater engagement in class, 46% [58] to 58% [51] reported less boredom and 36% [51] to 39% reported less distraction and reduced use of their cell phones during class when engaged in PAL [58]. Self-reported mental fatigue was shown to decrease by 34% [51] to 43% [58] and anxiety levels were reported to be reduced by 20% [58] to 40% [51] of participants in two PAL studies. Academic performance was not assessed in any CMB study. Compared to no break, self-reported vigour and concentration were increased, and fatigue decreased significantly (p < 0.01) immediately following an active CMB with improvements sustained for 20 min following the break in a single-group intervention–control study [61]. Paulus et al. [63] found 80% of participants who partook in a CMB felt it improved their wellbeing in terms of balance, vigour, and motivation and 91% reported that it improved their concentration. Students reported significantly higher alertness, concentration, and enjoyment when participating in two-hour classes with three CMBs compared to classes without movement breaks (p < 0.01) in another single-group intervention–control study [57]. Compared to a sedentary control group, students who went for a 10 min run halfway through a two-hour lecture had significantly higher objectively measured visual attention scores (p = 0.003) and higher perceived attention and arousal (p < 0.01) in a randomised controlled trial [62].

4. Discussion

The results of this systematic review of 14 trials with 5997 participants provide evidence that CMB and PAL are feasible for use amongst university students in tertiary education settings. Students and tutors found both interventions acceptable with students keen to continue them as they were not distracting and fitted into class time, consistent with findings from systematic reviews in primary school children [30], adolescents [31], and adults [35]. Therefore, university educators should feel confident to consider the incorporation of CMB and/or PAL into their classrooms if they have the space and infrastructure to do so. Furthermore, there is preliminary evidence that CMB and PAL reduce sedentary behaviour and increase physical activity in university students. Students who completed PAL self-reported improved wellbeing, no change or improved focus and attention, and decreased fatigue. There were no differences in academic performance between students who did or did not participate in PAL, while academic performance was not evaluated in CMB studies. The results indicate that PAL and CMBs have similar effects on university students as they do in primary school children, adolescents in secondary school, and adults in the workplace. Lab-based studies on university students are also in agreement with the results of the current review finding that PAL improved student wellbeing [42] and may improve executive function [64]. By replacing previous sedentary behaviour during class/study time with PAL or CMB, university students’ physical activity during class/study time is increased and sedentary behaviour is decreased as seen in school-aged students [33]. However, the amount of change may be insufficient to affect overall health unless it has carry-over effect on behaviour. In the studies included in this review, students completed an average of 10 min of physical activity in CMB studies and stood for 8 to 60 min in class in PAL studies. This may have had minimal effect on weekly physical activity levels considering guidelines recommended at least 150–300 min of moderate intensity physical activity per week [4]. In one study, students completed an average of 213 min per week of low intensity cycling which may have been sufficient to influence health [45]. There did appear to be some carry-over effect of the intervention to out of class behaviour in two studies where students reported increasing their overall physical activity, being more aware of their physical activity habits [45] and reducing their sedentary behaviour by regularly interrupting their sitting with movement [63]. However, to positively influence health, long-term behaviour change and health promotion strategies may need to be considered in conjunction with PAL or CMB interventions. A recent systematic review of sedentary behaviour in university students highlighted the need to include the awareness of negative health outcomes, productivity concerns, training in behavioural self-regulation, habit formation techniques, and social acceptability of breaking up sedentary behaviour to increase the likelihood of sustained behaviour change [65]. Therefore, combining PAL and CMB interventions with education and behaviour change strategies may have the potential to have a positive influence on health outcomes. The observed cognitive benefits of PAL and CMBs in relation to focus, attention, fatigue, and wellbeing may be partially explained by the influence of physical activity on a variety of physiological mechanisms as breaking up prolonged sitting with intermittent standing or low to moderate physical activity results in metabolic, endocrine, and vascular changes [66]. This may improve cognitive function by decreasing postprandial hyperglycaemia, insulin resistance, inflammatory markers, and by improving hormonal regulation and blood flow to cortical and peripheral arteries [66]. Despite the observed cognitive benefits and the potential physiological rational for these benefits, CMBs did not result in improved academic performance in the studies included in this review. This may be because only two studies measured academic performance, but it may also partially be due to the type and timing of the movement breaks utilised. The timing, intensity, and duration of the physical activity completed during a movement break may have an important role in the amount of physiological and cognitive change. For example, in response to incremental exercise there is an increase in cerebral blood flow until approximately 60% of maximal intensity which then plateaus before declining back towards resting levels when approaching maximal intensity [67]. Therefore, intensity needs to be sufficient to raise cerebral blood flow, which some exercises such as calf raises may not be [68], but not be too intense or too long to elicit prolonged hypoxia which is associated with declines in cerebral blood flow [67]. In addition to intensity, timing of movement breaks is an important consideration. In a study of office workers, drops in cerebrovascular blood flow due to sedentary behaviour were reversed with 2 min of light intensity walking at self-selected, habitual walking speed every 30 min but not with an 8 min walk every 2 h at the same walking speed [69]. For glucose regulation, 3 min of low to moderate intensity physical activity after 30 min of sedentary time is considered the minimum dose to elicit changes in glucose regulation [70]. Although type and timing of CMB and PAL varied, there is sufficient evidence to suggest that CMBs and PAL have a positive effect on cognition and whilst there is no significant change in academic performance there is also no significant decline, giving confidence to academic teaching staff that CMBs and PAL are safe to implement. Future research should consider measuring academic success and comparing timing, intensity, and duration of PAL and CMB in terms of cognitive and health benefits. In a learning environment which can be emotionally challenging, further research investigating the role CMBs and PAL in emotional regulation may also be warranted to enable a multifaceted understanding of the effects of CMBs and PAL in a tertiary setting.

Limitations

To our knowledge, this is the first review to evaluate PAL and CMB in university students. It was registered prospectively and conducted according to the PRISMA guidelines. A limitation was that the review only included three randomised controlled trials and the average quality score of the studies included in the review was low. However, low-quality studies had similar results to high-quality studies. Another limitation is that the majority of included CMB studies were performed in health sciences or sports science university students who potentially already have a higher baseline physical activity level and may be more agreeable to PAL and CMB interventions. Only two PAL studies evaluated academic performance; therefore, the results should be interpreted with caution.

5. Conclusions

This systematic review of 14 trials with almost 6000 university students found that CMBs and PAL are feasible in the tertiary education setting and increase physical activity, reduce sedentary behaviour, increase wellbeing, and reduce fatigue in university students. In addition, CMBs increased student focus and attention in class and PAL had no detrimental effect on academic performance. University educators should feel confident in introducing either CMB and/or PAL interventions into their classes to improve student health and wellbeing.
  66 in total

1.  The association of context-specific sitting time and physical activity intensity to working memory capacity and academic achievement in young adults.

Authors:  Mireia Felez-Nobrega; Charles H Hillman; Eva Cirera; Anna Puig-Ribera
Journal:  Eur J Public Health       Date:  2017-08-01       Impact factor: 3.367

2.  Acute aerobic exercise improves memory across intensity and fitness levels.

Authors:  Krystle E Zuniga; Mackenzie Mueller; Andrew R Santana; William L Kelemen
Journal:  Memory       Date:  2018-11-14

3.  Body mass index in young adulthood, obesity trajectory, and premature mortality.

Authors:  Kelly A Hirko; Elizabeth D Kantor; Sarah S Cohen; William J Blot; Meir J Stampfer; Lisa B Signorello
Journal:  Am J Epidemiol       Date:  2015-05-13       Impact factor: 4.897

4.  Using the Behavior Change Wheel to Understand University Students' Prolonged Sitting Time and Identify Potential Intervention Strategies.

Authors:  Oscar Castro; Ineke Vergeer; Jason Bennie; Jonathan Cagas; Stuart J H Biddle
Journal:  Int J Behav Med       Date:  2021-06

5.  Physical activity and other health-risk behaviors during the transition into early adulthood: a longitudinal cohort study.

Authors:  Matthew Y Kwan; John Cairney; Guy E Faulkner; Eleanor E Pullenayegum
Journal:  Am J Prev Med       Date:  2012-01       Impact factor: 5.043

6.  Three weeks of interrupting sitting lowers fasting glucose and glycemic variability, but not glucose tolerance, in free-living women and men with obesity.

Authors:  Jonathon A B Smith; Mladen Savikj; Parneet Sethi; Simon Platt; Brendan M Gabriel; John A Hawley; David Dunstan; Anna Krook; Juleen R Zierath; Erik Näslund
Journal:  Am J Physiol Endocrinol Metab       Date:  2021-06-21       Impact factor: 4.310

7.  How we design feasibility studies.

Authors:  Deborah J Bowen; Matthew Kreuter; Bonnie Spring; Ludmila Cofta-Woerpel; Laura Linnan; Diane Weiner; Suzanne Bakken; Cecilia Patrick Kaplan; Linda Squiers; Cecilia Fabrizio; Maria Fernandez
Journal:  Am J Prev Med       Date:  2009-05       Impact factor: 5.043

8.  Introducing sit-stand desks increases classroom standing time among university students.

Authors:  Matthew Jerome; Kathleen F Janz; Barbara Baquero; Lucas J Carr
Journal:  Prev Med Rep       Date:  2017-11-09

9.  The effects of using an active workstation on executive function in Chinese college students.

Authors:  Zhanjia Zhang; Bing Zhang; Chunmei Cao; Weiyun Chen
Journal:  PLoS One       Date:  2018-06-07       Impact factor: 3.240

10.  A systematic review and meta-analysis on the effects of physically active classrooms on educational and enjoyment outcomes in school age children.

Authors:  Chloe Bedard; Laura St John; Emily Bremer; Jeffrey D Graham; John Cairney
Journal:  PLoS One       Date:  2019-06-25       Impact factor: 3.240

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