Background
22
A minority of children in the United Kingdom meet the recommended physical activity 23
guidelines. One initiative which has been introduced to try and increase the physical activity 24
levels of school children is The Daily Mile™ (TDM). The aim of this review was to 25
determine the effect of TDM on children’s physical activity levels, physical health, mental 26
health, wellbeing, academic performance and cognitive function. 27
28
Methods
29
Six databases were systematically searched from TDM’s inception (2012) to 30th June 2022. 30
Studies were included if they involved school-aged children (aged 4-12 years), taking part in 31
TDM and measured at least one pre-defined outcome. 32
33
Results
34
Thirteen studies were included from the 123 studies retrieved. Longer-term participation in 35
TDM was found to increase moderate-to-vigorous physical activity and physical fitness. 36
None of the studies reported a significant change in Body Mass Index or academic 37
performance. An acute bout of TDM was not found to improve cognitive function, however 38
one good-quality study reported that longer-term participation in TDM increased visual 39
spatial working memory. There was evidence from one fair-quality design study that TDM 40
can improve mental health in the short term. There were no significant effects on wellbeing, 41
however scores on self-perceptions improved mainly for children with low baseline self-42
perceptions. 43
44
45
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3
Conclusion
46
There is evidence to show that TDM can increase physical activity and physical fitness. 47
However, higher-quality research, with adequate participant randomisation and longer-term, 48
post-intervention follow-up is needed to ensure that any changes accurately reflect the 49
components of TDM and are sustained beyond an intervention time frame. Policy 50
recommendations of TDM increasing PA levels in the short term are supported by the 51
evidence in this review. However, long-term improvement on mental health, wellbeing, 52
academic performance and cognitive function requires further good-to excellent quality 53
research. Promisingly, several protocol articles that include randomised controlled trials with 54
long term follow-up have been published. These higher-quality design studies may provide a 55
stronger evidence-base on the effects of TDM on children’s health and should underpin 56
future recommendations in public health policy. 57
58
Systematic Review registration: PROSPERO CRD42022340303 59
Key Words 60
Daily Mile, physical activity, primary school, cognition, wellbeing, academic performance 61
62
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4
Background
63
There is convincing scientific evidence to support the benefits of promoting regular physical 64
activity (PA) to enhance children’s health. Health benefits from PA participation include 65
improving children’s fitness [1], maintaining healthy weight [2], strengthening muscles and 66
bones, improving sleep quality, and mental health and wellbeing enhancements [3]. There is 67
also some evidence that children who are active have improved cognitive outcomes, such as 68
academic performance and executive function [4]. In addition, children who are substantially 69
active during childhood and adolescence are more likely to maintain their physical activity 70
behaviour through adulthood [5]. Therefore, evidence highlights the importance of providing 71
children and young people with suitable opportunities for PA. 72
73
Recommendations from the United Kingdom (UK) Chief Medical Officers (CMO) is that 74
children and young people (5-18 years) should engage in at least 60-minutes per-day of PA at 75
a moderate-to-vigorous intensity level [6]. However, despite the known benefits of PA, 76
between 20-44.6% of children aged 5-16 years are currently meeting the recommended level 77
of PA in the UK [7] with children from socially disadvantaged backgrounds being less likely 78
to meet the PA recommendations [8,9]. For example in Northern Ireland where only 20% of 79
children from a low socio-economic status meet the recommended 60 minutes of Moderate-80
to-Vigorous Physical Activity (MVPA) per-day [10]. The World Health Organisation’s 81
(WHO) Global Action Plan on Physical Activity 2018-2030 aims to reduce the global 82
prevalence of physical inactivity by 10% by 2025 and by a further 5% by 2030 [11]. 83
84
PA levels are found to increase in children between the ages of three and six [12], this is due 85
to developmental changes leading to improvements in motor skills and co-ordination along 86
with growing language skills providing greater opportunities for interactive play with 87
caregivers and peers [13]. However, levels then begin to decrease from age six. A recent 88
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5
study found that on average, levels of MVPA decreases by 2.2 minutes/day/year between the 89
ages of six and eleven (95% CI 1.9 to 2.5) [14]. Furthermore, children aged 15 years are less 90
likely to meet the PA guidelines than children aged nine [15]. As most children attend school 91
regularly, the school setting provides a suitable environment to intervene to try and increase 92
the PA levels of children from a wide range of backgrounds [2]. 93
94
The lack of sufficient time is reported as one of the most prevalent barriers for teachers when 95
attempting to implement PA interventions [16]. One initiative which has been introduced in 96
an attempt to overcome these challenges and increase the PA levels of school-aged children is 97
The Daily Mile (TDM) [17]. TDM began in Scotland in 2012 and involves children walking, 98
running or wheeling outside for 15 minutes (approximately one mile) on a minimum of three 99
days of the week [17]. TDM core principles state that it should take place in addition to 100
Physical Education time and should happen during curriculum time, and therefore not during 101
lunch or break time [17]. The practical premise behind TDM is that it is easy to set up, 102
requires no additional equipment, and can be easily integrated into the school day [17]. 103
Demonstrating its popularity, schools from across 87 countries have signed up to TDM, with 104
over 10,000 schools across the UK signed up [17]. Currently in Northern Ireland 490 schools 105
(over 50%) have signed up on the Daily Mile Foundation website. 106
107
The UK Childhood Obesity Plan encourages every school to implement an active mile 108
initiative such as The Daily Mile [18]. However, despite the large number of participating 109
schools, and Government recommendations, the scientific evidence to support the 110
effectiveness of TDM is mixed and arguably limited due to the short term follow up in 111
available research studies, and in some cases limited research designs [19,20]. With TDM 112
being incorporated into policy frameworks, there is the need for a strong evidence-base to 113
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6
fully justify its inclusion [21], currently the evidence is not convincing. Furthermore, with 114
numerous schools incorporating TDM into their COVID-19 recovery plans with the aim to 115
improve children’s mental health and wellbeing, it is important to understand what effects, if 116
any, the TDM can have beyond increasing PA. Failing to provide such evidence exacerbates 117
the potential risk of a futile policy attempt to increase children’s activity. As such, it is 118
surprising that no systematic review of TDM has been conducted to date to inform policy 119
decision making. 120
121
To respond to the lack of any review of TDM, this rapid systematic review will identify the 122
published literature on TDM, evaluate their methodological quality, and summarise the 123
findings of the available evidence for TDM. Specifically, the review will determine the effect 124
of TDM on 4-12 year old school children’s PA levels, physical health, mental health, 125
wellbeing, academic performance and cognitive function. The practical application of TDM 126
in schools, the implications for policy makers and directions for further research are 127
discussed. 128
129
Methods
130
Review Question 131
This review aimed to answer the following question: 132
1. What are the effects of participating in The Daily Mile on children's physical activity 133
levels, physical health, mental health, wellbeing, academic performance and cognitive 134
function? 135
136
137
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Protocol 138
The review was registered on the International prospective register of systematic reviews 139
(PROSPERO Registration Number: CRD42022340303). The Preferred Reporting Items for 140
Systematic Reviews and Meta-Analyses (PRISMA) guidelines [22] were followed. A 141
PRISMA checklist is included as supplementary file one. 142
143
Eligibility criteria 144
For inclusion in the review, studies were published in a peer-reviewed academic journal and 145
written in English language. Conference abstracts and grey literature were not eligible for 146
inclusion. The eligibility criteria were structured around the Population, Intervention, 147
Control, Outcome (PICO) framework. 148
149
Population 150
The population was school-aged children, between the ages of 4 and 12. If children attended 151
a special education needs school, they were also eligible for inclusion. 152
153
Intervention 154
The intervention had to consist of TDM initiative. If a study included TDM initiative 155
alongside or in conjunction with another intervention, the study was excluded as it was not 156
possible to determine the independent effects of TDM on the specified outcomes. Studies 157
with PA interventions described as similar to TDM, but not specifically TDM were not 158
included. This was to ensure included interventions were based upon the principles of TDM 159
outlined earlier. 160
161
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Control 162
Studies were included if they contained control or comparison groups, but this was not a 163
requirement. 164
165
Outcomes 166
For studies to be included, they had to measure at least one outcome pertaining to the 167
following six categories: Physical activity (PA) levels (self-report or objective measures 168
[accelerometers, pedometer worn devices]), physical fitness (e.g. shuttle run test, bleep test), 169
physical health (e.g. weight, body mass index [BMI], body composition), mental health, 170
psychological wellbeing, academic performance, and cognitive function. 171
172
Information sources and search strategy 173
A systematic search of six electronic databases (MEDLINE, Embase, Web of Science, 174
PsycINFO, SPORTDiscus and Scopus) was conducted. The search timeframe was 2012 (the 175
year of TDM ‘s inception) to the date of the search (30th June 2022). 176
177
Keywords
were used in the searches, with truncation and MeSH terms used depending on the 178
database. The search strategy was developed by the authors, alongside the institute 179
librarian. The reference lists of eligible studies were also hand searched and Google Scholar 180
was searched using key words for any available studies. 181
182
Study selection 183
All references retrieved from the electronic databases were imported into Covidence, a web-184
based systematic review software programme (Covidence systematic review software, 185
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available at: https://www.covidence.org). Covidence automatically removes duplicate 186
articles, these were then checked by a reviewer (MH) to ensure they were exact duplicates. 187
After de-duplication at least two independent reviewers screened all titles and abstracts to 188
assess for eligibility. Articles which met the eligibility criteria were sourced and full-text 189
articles were uploaded into Covidence. The full-text articles were screened independently 190
against the inclusion and exclusion criteria by all authors. The screening tool used is included 191
in supplementary file two. At least two independent reviewers screened each article, with any 192
disagreements being resolved through consensus with a third reviewer. 193
194
Data extraction 195
The review team developed a data extraction form, and a single reviewer (MH) extracted the 196
data. A second reviewer (GB, NB or SS) checked the data extraction. Any disagreements 197
were discussed with the other members of the research team where necessary. Only data 198
relevant to the study was extracted, these included: study aim, study design, timings (how 199
long TDM was implemented), participant demographics, baseline characteristics, outcomes, 200
Results
and information for quality assessment. 201
202
Methodological quality assessment 203
The quality of the included studies was assessed using a modified version of the Downs and 204
Black checklist [23]. The checklist includes 27 items which covers reporting, external 205
validity, internal validity (bias), internal validity (confounding) and power [23]. The Downs 206
and Black checklist can be used to assess the methodological quality of both random and 207
non-randomised studies [23]. Randomised studies can score a maximum of 28 and non-208
randomised studies can score a maximum of 25. Based on the overall score given to a study, 209
they were classified as excellent (26-28); good (20-25); fair (15-19); and poor (≤ 14). These 210
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categories for classification have been previously used and reported elsewhere [24-26]. One 211
included study was a process evaluation and therefore it was not appropriate to use the 212
Downs and Black checklist and consequently the relevant sections of the Mixed Methods 213
Appraisal Tool (MMAT) were used [27]. The quality assessment was carried out by two 214
reviewers independently (MH, NB, BMcC or BMcKR). Scores were compared and any 215
disagreements were resolved through discussions and a third reviewer was consulted if 216
required. 217
218
Results
219
Search Results 220
The literature search generated 123 articles. Duplicate articles were then removed (n=85), 221
leaving 38 titles and abstracts for review (Fig 1). Of these, 19 articles did not meet the 222
inclusion criteria and were excluded. At full text screening another seven articles were 223
excluded. As a result, 12 articles were deemed to meet the inclusion criteria and were 224
included in the review. Studies were excluded because they were the wrong intervention (not 225
TDM) or a combination of interventions, no outcomes of interest were included or were 226
conference abstracts. At the initial search stage, one preprint of a study was identified as 227
meeting all the inclusion criteria, with the exception that it was not peer reviewed, and as a 228
Result
it was initially excluded. However, it was peer reviewed and published at a later stage 229
(August 2022), therefore was included in the review. A final total of 13 articles were included 230
in the systematic review. 231
232
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11
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
Fig 1. PRISMA 2020 flow diagram 272
273
Description of studies 274
The study characteristics are provided in Table 1. Fields included: author’s names, year, 275
study design, duration and sample characteristics. 276
277
Records identified from:
Databases (n =123)
Records removed before
screening:
Duplicate records removed
(n =85)
Records screened
(n = 38)
Records excluded
(n =19)
Reports sought for retrieval
(n = 19)
Reports not retrieved
(n =0)
Reports assessed for eligibility
(n = 19) Reports excluded:
Wrong outcomes (n =3)
Conference abstract (n = 2)
Wrong intervention (n = 2)
Studies included in the review
(n =13)
Identification of studies via databases and registers
Identification
Screening
Included
Article under review during the
search but subsequently
published
(n=1)
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Table 1: Author, year, study design, duration and sample characteristics of included studies 278
Author, Year Study design; duration Sample characteristics
Arkesteyn et al. 2022 [28] Single-arm pilot; 20 weeks Schools (n=7), Children (n=550), 289 males (203 males completed
SPPC) age=9.64 (1.87)
Booth et al. 2022 [29] Quasi experimental between groups; Part of BBC
Terrific Scientific project- data collected from schools
on participation in TDM and categorised them as no
participation, shorter term participation (2 months or
less) and longer-term participation (3 months or more).
School classes (n=503) Children (n=6908) 50% female, Age=10.2
(0.7)
Breheny et al. 2020 [20] Cluster RCT; 12 months Schools (n=40) Children (n=2280) (baseline) (47.5% female)
Age=8.9 (1)
Brustio et al. 2019 [30] Quasi experimental Pre/post-test; 3months 5 schools, Children (n=795) C=49.8% female, I=45.7% female.
Age=8(1)
Brustio et al. 2020 [31] Quasi-experimental; 6 months N=548 (49.1% female) Age=9.14
Chesham et al. 2018 [32] Repeated measures pilot study; Intervention group-
8months, Control 4 months
Schools (n=2) Children (n=379) C=50% female I=49% female
Age=8.2 (2.0)
De Jonge et al. 2020 [33] Multi-arm, partly RCT with 3 groups; 12 weeks Schools (n=9), Children (n=659) C=52.1% female, Intervention
combined=50.2% female. Age C=10.1 (0.1) I=10.0 (0.1)
Dring et al. 2022 [34] Quasi-experimental: 5 weeks Schools (n=2) Children (n=79) Gender not reported Age=10.3
(0.8)
Harris et al. 2020 [35] Two-phase multi-method; 3 months Schools (n=1) Children (n=75) Age=7 years 8months
Hatch et al. 2021a [36] Within subject randomised crossover counterbalanced;
single bout of TDM and resting separated by 7 days
Schools (n=8) Children (n=104) (46% female) Age=10.4 (0.7)
Hatch et al. 2021b [37] Cross-sectional descriptive; Single bout of TDM Schools (n=8) Children (n=80) (50% female) Age=10.4 (0.7)
Marchant et al. 2020 [38] Natural experiment; 3-6 months depending on school Schools (n=6), Children (n=258 imputed) (46% female) Age=10.2
(0.9) baseline imputed
Morris et al. 2019 [19] RCT; one session of TDM School classes (n=14) Children (n=303) C=57% female, I=56%
female. Age=8.99 (0.5)
279
280
SPPC Self-Perception Profile for Children C-control I-Intervention RCT- Randomised Controlled Trial 281
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All articles were published between 2018 and 2022. Nine studies were conducted in the UK 282
[19, 20, 29, 32, 34-38,], two conducted in Italy [30,31], one in Belgium [28] and one in The 283
Netherlands [33]. The study sample sizes ranged from 75 participants [35] to 6908 [29]. Nine 284
of the studies included control or comparison groups [19, 20, 29-34, 36]. Four of these nine 285
studies employed some type of randomisation; two of the nine were randomised controlled 286
trials [19, 20], one partial randomisation (schools which had volunteered to implement and 287
perform TDM were randomised into intervention and intervention-plus groups) [33] and one 288
adopted a within subject randomised crossover counterbalanced design [36]. 289
290
The children in the included studies participated in TDM for different lengths of time, 291
ranging from one session of TDM [19, 36, 37] to 12 months participation [20]. The modal 292
duration of participation was three months [30, 33, 35]. 293
294
Methodological quality assessment 295
The quality of the included studies varied, with scores ranging from 15 [37] to 26 [19]. One 296
study was classified as excellent [19], six as good [20, 29-31, 34, 36], five as fair [28, 32, 33, 297
37, 38] and none were rated poor. Due to the type of study design, one study was assessed 298
using the Mixed Methods Appraisal Tool [27]. This study met 100% of the quality criteria 299
[35]. Modified Downs and Black quality checklist scoring for the included studies are 300
provided in Table 2. 301
302
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Table 2: Modified Downs and Black quality checklist scoring for included studies 303
Study
Domain Items Arkesteyn
et al. 2022
[28]
Booth
et al.
2022
[29]
Breheny
et al. 2020
[20]
Brustio et
al. 2019
[30]
Brustio
et al.
2020
[31]
Chesham et
al. 2018
[32]
de Jonge et
al. 2020
[33]
Dring et al.
2022
[34]
Hatch
et al.
2021a
[36]
Hatch
et al.
2021b
[37]
Marchant
et al. 2020
[38]
Morris et
al. 2019
[19]
Reporting 1 1 1 1 1 1 1 1 1 1 1 1 1
2 1 1 1 1 1 1 1 1 1 1 1 1
3 1 1 1 1 1 1 1 0 1 1 1 1
4 1 1 1 1 1 1 1 1 1 1 1 1
5 0 2 2 2 2 2 1 0 2 0 2 2
6 1 1 1 1 1 1 1 1 1 1 1 1
7 1 1 1 1 1 1 1 1 1 1 1 1
8 0 0 1 1 0 0 0 0 0 0 0 1
9 1 0 1 0 1 0 0 1 0 0 0 1
10 1 1 1 1 1 1 0 1 1 1 1 1
External
validity
11 1 1 1 1 1 0 1 1 1 1 1 1
12 1 1 1 1 1 1 1 1 1 1 1 1
13 1 1 1 1 1 1 1 1 1 1 1 1
Internal
validity-
bias
14 0 0 0 0 0 0 0 0 0 0 0 0
15 0 0 1 0 0 0 0 0 0 0 0 0
16 1 1 1 1 1 1 1 1 1 1 0 1
17 1 1 1 1 1 0 1 1 1 1 0 1
18 1 1 1 1 1 1 1 1 1 1 1 1
19 1 1 0 1 1 0 1 1 1 1 0 1
20 1 1 1 1 1 1 1 1 1 1 1 1
Internal
validity-
confoundin
g
21 0 1 1 1 1 1 1 1 1 0 1 1
22 1 1 1 1 1 0 1 1 1 0 0 1
23 0 0 1 0 0 0 0 0 1 0 0 1
24 0 0 0 0 0 0 0 0 0 0 0 1
25 0 1 1 0 1 1 0 1 1 0 1 1
26 1 0 1 1 1 0 1 1 1 0 1 1
Power 27 0 0 1 0 0 0 1 1 1 0 0 1
Total (28) 18 20 25 21 22 16 19 20 23 15 17 26
Quality Fair Good Good Good Good Fair Fair Good Good Fair Fair Excellent
304
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Delivery mode 305
There were variations in the implementation and execution of TDM across studies, and not 306
all studies followed the core principles set out by TDM Foundation (i.e., 15-minutes in 307
length, performed in all weather, at least 3x/week, teacher to decide when to perform TDM, 308
no change in clothes, aim to jog or run for full 15 minutes). For those studies in line with the 309
core principles, eight studies reported the duration of TDM should be 15-minutes [19, 20, 28, 310
30-32, 34, 35] and two studies reported 20 minutes duration [36, 37]. Several studies reported 311
allowing teachers to choose the time of day to carry out TDM [20, 28, 30-32]. Additionally, 312
several studies reported the desired frequency of TDM, with three studies encouraging daily 313
participation [28, 20, 34]. One study suggested TDM should be performed on all days 314
without Physical Education lessons [33] and one study stated it should be performed on at 315
least three days of the week [29]. There was also some variation in the specified exercise 316
intensity with some studies reporting children should run or walk [20, 28, 31, 32, 36, 37] and 317
one reported that children were asked to run or jog, only stopping for occasional rests if 318
required [30]. 319
320
An additional core principle of TDM is that it should be inclusive for every child, and 321
children with mobility difficulties should take part [17]. Two studies reported that children 322
with a physical or intellectual disability were excluded from the study [20, 30], two studies 323
included children with physical or intellectual disabilities in the intervention, but they were 324
excluded from the analysis [19, 31]. One study recruited two special education schools 325
(n=36), the children took part in the study, but did not complete the Self-Perception Profile 326
For Children (SPPC) [28]. 327
328
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There was a large variation in intervention fidelity, with some studies not measuring 329
compliance and implementation. Those that did, reported compliance in the intervention and 330
intervention plus groups as 88% and 90% respectively [33]. One study reported school level 331
compliance, with two schools performing TDM 3x/week, two schools performing TDM 332
4x/week and three schools performing it 5x/week [28]. One study reported that all but seven 333
participants out of 79 participated in TDM daily [34]. 334
335
Outcomes 336
There was large variation in the outcome measures reported across the 13 studies. The 337
outcome measures and measurement tools, main findings and any comments of note 338
regarding any methodological issues (i.e., missing data etc) are provided in Table 3. 339
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Table 3: Study outcome measures, measurement tools, main findings and comments 340
Authors (year of study) Outcome measure (s)
and measurement tool
Main findings Comments
Arkesteyn et al. 2022 [28] Self-perceived
competence &self-esteem-
(SPPC self-reported).
Mental health (SDQ
parents complete)
Small but significant increase in perceived global self-worth
(p=.041)
Children with low baseline SPPC scores showed significant
increases with large effect sizes for global self-worth (p=<.001),
scholastic competence (p=.001), social competence (p=.003),
athletic competence (p=.002), physical appearance (p=<.001) and
behavioural conduct (p=.003)
Total difficulties score- no interaction effect for time x gender.
Significant reductions over time reported by parents for total
difficulties (p<.001), hyperactivity (p=.004), peer problems
(p=.008) and emotional symptoms (p=<.001)
Most increases
occurred between
week 10 and week
20. Compliance was
monitored- 2 schools
participated 3x/week
2 schools 4x/week 3
schools 5x/week
Booth et al. 2022 [29] Cognition: Inhibition-
(stop-signal task), visual
spatial working memory-
(static boxes search task),
verbal working memory
(reading span task) (self-
completed on computer).
Subjective wellbeing-
(Adapted Children’s
Feeling scale and Felt
Arousal Scale children
self-report). Fitness (20m
shuttle run test child
complete)
Significant difference in visual spatial working memory scores in
unadjusted models. Longer term group significantly higher scores
in visual working memory (adjusted for age, sex, SES) p<0.001,
compared to those who did not participate in TDM
No statistically significant differences in wellbeing between those
participating in TDM and those who did not take part
Longer Term participation group greater shuttle distance than the
group who did not do the TDM p<0.05. And those who had shorter
term participation, p<0.01. Remained statistically significant when
adjusted for age, sex and SES
Longer term
participation (more
than 3 months) but
was not possible to
quantify further
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18
Breheny et al. 2020 [20] BMIz score at 12 months
(British 1990 growth ref
data) Fitness (British
Athletics Linear Track
Test)
Child reported QOL
&Wellbeing (CHU9D &
MDI Self-reported
electronically under
teacher supervision)
Academic Performance
(teacher rated)
No significant impact on BMIz scores. Subgroup analysis showed
significant interaction by sex- modest and statistically significant
intervention effect on BMIz for girls at 12 months
Fitness: Small difference in favour of control group at both 4 and
12 months but not statistically significant for imputed or complete
case analysis
QOL and Wellbeing: Small non-significant differences between
groups in favour of intervention
Academic performance: Small difference in academic attainment in
favour of intervention at 12 months (p=< 0.001). Only significant
in complete case analysis and not after imputation
High levels of
missing data in
secondary outcomes
Brustio et al. 2019 [30] Fitness (6-minute run test)
BMI
After correcting for age and gender significant group x time
interactions were observed. TDM group showed an increased result
between baseline and post-test (estimated difference=25.15m,
SE=6.39m, p<0.001; percent change=3.1%, compared with control
group (estimated difference =4.44m, SE=6.69m, p=0.911; percent
change =0.5%)
No significant group x time interactions were observed in BMI
On average, TDM
was implemented
3x/week
Brustio et al. 2020 [31] Fitness- (6-minute run test
child complete)
Waist-to-height ratio
BMI
Fitness: Significant group*time interactions reported after
correcting for age and BMI. I2 different T1-T2 and T1-T3. I3
different T2-T3 and T1-T3, but not T1-T2. Control different T2-T3
and T1-T3
Effect size greater for 3xweek (effect size 0.51) rather than 2xweek
(effect size 0.29)
Waist-to-height ratio: Significant difference in group x time
interaction effect, with I3 lower between pre and mid test.
No difference in BMI between groups
Data in results
differs from abstract
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19
Chesham et al. 2018 [32] MVPA (Accelerometer),
Fitness (20m SRT, Body
composition skin folds
(Standard ISAK
procedures)
MVPA relative increase of 9.1 minutes per day (95% CI 5.1min-
13.2min) p=0.027
Fitness: Total shuttle distance relative increase of 39.1m (95% CI
21.9 to 56.3m p=0.037)
Skin folds- relative decrease of 1.4mm (-2.0 to -0.8) p=0.034
Some
methodological
issues- Different
duration and data
collection points of
control and
intervention groups
Dring et al. 2022 [34] Cognitive function
(Stroop test, Sternberg
paradigm, flanker task
Children self-complete on
laptop)
Body composition (4
skinfold sites) Body mass
and BMI (Age and sex-
specific British 1990
growth reference).
Physical fitness (MSFT-
20m shuttle runs (child
complete)
Stroop test- No difference in response times on the simple level.
Response times on complex level intervention group significantly
faster at follow up compared to control group p=0.048. For
accuracy no difference between intervention and control group at
follow-up for either simple (p=0.434) or complex (p=0.580) levels
Sternberg Paradigm and Flanker test- No difference for response
times or accuracy at any level
No difference between the intervention and control group in body
composition, body mass or BMI
Significant difference between the intervention and control group at
follow-up for distance covered on MSFT. Intervention group 880m,
compared to control group 740m p=0.002
De Jonge et al. 2020 [33] Fitness (SRT child
complete)
Significant increase in SRT between control and intervention
groups. The change in SRT score in the intervention group was
significantly greater than the change intervention-plus group
Two intervention
groups, Intervention
plus group-
additional support
for teachers didn’t
make any difference
Harris et al. 2020 [35] MVPA (SOFIT
administered by one
observer)
KS1 students- 100% of TDM in MVPA. Max time spent
performing MVPA occurred when students interacted with peers &
teachers promoted activity. KS2 students spend 13mins (88.1%) of
TDM at MVPA
KS1 did TDM on
54/59 (91.5%) days.
KS2 did TDM on
51/59 (86.4%) days
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20
Hatch et al. 2021a [36] Inhibitory control (Stroop
test) Visual working
memory (Sternberg
paradigm) cognitive
flexibility (Flanker test)
All self-completed on
laptop
No difference in response times between TDM and resting
Hatch et al. 2021b [37] Fitness- (Multi-stage
fitness test child
complete)
Highest fit children ran further than less fit children (main effect of
fitness, p<0.001)
Marchant et al. 2020 [38] Fitness (20m SRT child
complete)
Both groups equal increases in shuttle runs. No significant
difference in shuttle run increase for deprived compared to non-
deprived children when age and gender were adjusted for
Seasonal differences
in data collection
between schools
Morris et al. 2019 [19] PA (Accelerometers)
Maths fluency (MASSAT
children complete)
Executive function (Trail
Making Task, Digit
Recall, Flanker and
Animal Stroop children
self-complete 4 paper
tests)
Children in TDM engaged in statistically significantly more MVPA
p≤0.001. Achieving 10.67±2.74min of MVPA during TDM
compared to the control (0.44±0.95min)
Maths fluency: No significant improvements
Executive function: No significant difference
341
I2- Intervention group 2x week Daily Mile participation. I3- Intervention group 3x week Daily Mile participation SPPC -Self-perception Profile 342
for Children SDQ-The Strengths and Difficulties Questionnaire BMI- Body Mass Index SRT-Shuttle run test QOL- Quality of Life CHU9D-343
Child Health Utility 9 Dimension MYDI-Middle Years Development Instrument MVPA-Moderate to vigorous physical activity SOFIT-System 344
for observing fitness instruction time ISAK- The International Society for the Advancement of Kinanthropometry. MSFT-Multistage fitness test 345
PA- Physical activity MASSAT-Maths Addition and Subtraction, Speed and Accuracy Test346
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21
Effects on physical activity 347
Three studies measured and reported PA levels or PA intensity [19, 32, 35]. One session of 348
TDM resulted in a greater amount of MVPA (10.67±2.74 min) compared to the control 349
group, (0.44±0.95 min), the difference was statistically significant [19]. One study reported 350
PA levels after longer term (8 months) participation in TDM, for MVPA there was a relative 351
increase of 9.1 minutes per day [32]. Harris and colleagues reported that Key Stage 1 children 352
spent 100% of time during TDM at MVPA and at Key Stage 2 the children spent 88.1% of 353
TDM at MVPA [35]. 354
355
Effects on physical fitness 356
Nine studies [20, 29-34, 37, 38] measured and reported physical fitness. A variety of different 357
tests were use; 6-minute run test [30,31], 20m shuttle run test [32-34, 38], Multi-stage fitness 358
test [37] and British Athletics Linear Track Test [20]. Six studies [29-34] reported a 359
significant improvement in fitness in the intervention group compared to the control group. 360
One study categorised children by fitness quartile and reported ‘highest fit children ran 361
further than less fit children’ (p<0.001) [37]. One study compared the shuttle run distances 362
completed by children categorised as deprived and those who were non-deprived and found 363
both groups had equal increases in shuttle run distance [38]. One study found small increases 364
in fitness at both four and 12 months in favour of the control group (p=0.048), however there 365
were high levels of missing data, and this result was not statistically significant when only 366
complete cases were analysed or when imputed values were used [20]. 367
368
Effects on physical health 369
Three studies reported BMI pre and post intervention [30, 31, 34], however none of the 370
studies found a significant difference in BMI between groups. In one study where BMIz 371
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22
scores (Body mass index z-scores, are a measure of relative weight adjusted for child age and 372
sex) were reported [20] although TDM did not have a significant impact on BMIz scores at 373
12 months, subgroup analysis indicated significant interaction by sex, with the intervention 374
effect for girls being modest and statistically significant at 12 months [20]. 375
376
Three studies reported on body composition [31, 32, 34]. One study reported no difference in 377
waist circumference, hip circumference, or sum of skin folds, between intervention and 378
control groups [34]. One study reported a relative decrease of 1.4mm in skin folds [32]. In 379
one study, lower waist-to-height ratios were found between pre and mid test in the group who 380
completed TDM more than 2.5 times a week on average [31]. 381
382
Effects on psychological wellbeing 383
Psychological wellbeing was reported in two studies [20, 29], one study found small 384
differences in favour of the intervention group after 12 months of TDM, but the results were 385
not statistically significant [20] and the other study found no statistically significant 386
differences in wellbeing between those participating in TDM and those who did not take part 387
[29]. 388
389
Small but significant increases in perceived global self-worth were found using The Self-390
Perception Profile for Children (SPPC) [28]. Children with low baseline SPPC scores showed 391
significant increases with large effect sizes for global self-worth, scholastic competence, 392
social competence, athletic competence, physical appearance and behavioural conduct [28]. 393
394
395
396
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23
Effects on Mental Health 397
One study [28] reported the impact of participation in TDM on mental health, as measured by 398
The Strengths and Difficulties Questionnaire [39] completed by their parents. There were 399
significant reductions over time reported by parents for total difficulties, hyperactivity, peer 400
problems and emotional symptoms [28]. 401
402
Effects on academic performance 403
Two studies reported the effect of TDM on academic performance [19, 20]. One study found 404
a small difference in teacher rated academic attainment in favour of the intervention group at 405
12 months, however there was high levels of missing data (over 50%), and this was only 406
significant when complete cases were analysed and not when imputed values were used [20]. 407
One study found no significant improvements in maths fluency scores after a single bout of 408
TDM [19]. 409
410
Effects on cognition 411
Two studies included explored the effects of an acute bout of TDM on various aspects of 412
cognitive function [19, 36]. No significant improvements were found in executive function 413
[19], inhibitory control [36], cognitive flexibility [36] or working memory [36] after a single 414
bout of TDM. 415
416
However, one study where children had longer term participation in TDM (3 months or 417
more) found that those who had participated in TDM for longer had higher scores in visual 418
spatial working memory than those who did not participate in TDM [29]. In addition, 419
although one study did not find five weeks participation in TDM to increase response times 420
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24
in the simple level in the Stroop test, response times were significantly faster on more 421
complex versions of the Stroop test in the intervention group [34]. 422
423
Discussion
424
This systematic review summarised the results from 13 studies, examining the impact of 425
TDM on children’s physical activity levels, physical fitness, physical health, psychological 426
wellbeing, academic performance, and cognitive function. To the best of our knowledge, this 427
is the first systematic review of TDM initiative for primary school-aged children. Over the 428
past ten years there has been a rapid adoption of TDM and other ‘active miles’ in schools, 429
community settings, and such approaches have been cited in, and formed the basis of 430
Government policy. This review was conducted in response to the limited evidence base to 431
support such widescale adoption, and to guide the future integration of TDM into health 432
interventions and potential policy. All studies included in this review were also assessed for 433
methodological quality to examine what degree of confidence could be placed alongside 434
study outcomes. 435
436
Overall, both acute and longer-term participation in TDM was found to increase MVPA by 437
approximately ten minutes per-day [19, 32]. This is a relatively greater increase in MVPA 438
than found by other PA interventions in primary school children [40, 41]. Although findings 439
show that children do not spend the whole 15-minutes of TDM at a moderate-to-vigorous 440
intensity [19, 32, 35], the reported increases are welcomed given higher levels of MVPA 441
have been associated with improved cardiometabolic health in children [42]. Additionally, it 442
goes some way to help children achieve the public health recommended 60 minutes of 443
MVPA per day. 444
445
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In addition to an increase in MVPA, in general, the included studies reported a positive effect 446
of TDM on physical fitness, however, the variety different fitness tests used across studies 447
makes direct comparisons difficult. One of the studies which lasted for 5 weeks, reported the 448
intervention group completed 140 metres more than the control group in the multi-stage 449
fitness test at follow-up [34]. This shows that improvements in fitness can be achieved in a 450
relatively short space of time when TDM is conducted five days per-week [34]. Frequency of 451
participation is an important factor to consider, with those who participated at least twice a 452
week showing an increase of 5.6% in a 6-minute run test, whereas those who performed 453
TDM three or more times a week had an increase of 8.8% [31]. These results suggest there 454
may be a dose-response associated with TDM, requiring implementation according to the 455
core principles (performed at least 3x/week) to maximise improvements in physical fitness. 456
457
None of the included studies reported a significant reduction in BMI. This is in contrast with 458
a Cochrane Review which found that PA interventions can reduce BMI in children aged six 459
to 12 [43]. This likely suggests the effect of 15 minutes of daily (3-4 times week) exercise is 460
not enough to substantially impact weight. However, as children’s body composition is 461
naturally changing at this developmental stage, a reduction in BMI should not be a primary 462
aim of TDM implementation. 463
464
Longer-term (20 weeks) participation in TDM was reported to improve children’s mental 465
health as measured by The Strengths and Difficulties Questionnaire, along with small but 466
significant increases in perceived global self-worth [28]. The greatest increase occurred 467
between weeks 10 and 20, suggesting that the changes in self-esteem may only take place 468
when the PA in school is sustained for a longer period of time [28]. In addition, the finding 469
that children with lower baseline SPPC scores had large positive increases in perceptions of 470
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26
competence, physical appearance and behavioural conduct (see Table 2) indicates that the 471
effect of TDM may be greater for children with lower initial perceptions of self-worth and 472
self-competence. Although these results are promising, especially with schools adopting 473
TDM into their COVID-19 recovery plans for children’s mental health and wellbeing, the 474
Results
were found in a single arm pilot study so there was not a control group for 475
comparison. 476
477
More research is needed with regards to the effect of TDM on academic performance, with 478
only two studies reporting outcomes of academic performance [19, 20]. In one study [20] 479
academic performance was measured through teacher reported scores, which has potential for 480
bias. In addition, there was a large degree of missing data (over 56%) and therefore these 481
Results
should be interpreted with caution. 482
483
This review found that a single bout of TDM did not have a significant effect on cognition. 484
This is in contrast with two systematic reviews which found the majority of acute PA 485
interventions in children improved cognitive function [44, 45]. These results suggests that 15 486
minutes of exercise may not be enough to impact cognition and a longer bout of exercise may 487
be required to see benefits, or there may have been methodological issues that did not capture 488
the potential effects. However, longer term participation in TDM improved visual spatial 489
working memory [29] and increased response times on complex levels in the Stroop test [34]. 490
However, the latter finding was based on a small study (n=79) with a quasi-experimental 491
design. Consequently, larger, randomised controlled trials are needed to strengthen the 492
evidence base of what, if any, effects are present for TDM on cognition. 493
494
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27
Many of the findings suggest that timing of data sampling and the length of intervention are 495
important factors to consider. In one study, improvements in waist-to-height ratios in the 496
intervention group were reported at three months but at six months they had reverted to 497
similar scores to baseline [31]. No formal process evaluation was carried out so it is not 498
possible to assess how often TDM was performed and how this may have changed over the 499
duration of the study. These results may suggest that compliance and motivation dropped off 500
after the initial excitement of participation or that TDM only has benefits initially [20]. Given 501
the implications for both research recommendations and TDM implementation in practice, 502
future studies should record compliance and report on intervention fidelity throughout the 503
intervention period. 504
505
One study reported that although children enjoyed participating in TDM they expressed an 506
appeal for more variety in activity types and described TDM as ‘a bit boring’ [36]. This was 507
also reported by Marchant and colleagues [38] where pupils discussed one of the barriers to 508
TDM being lack of enjoyment and boredom associated with it, suggesting that after initial 509
excitement wore off motivation decreased [38]. 510
511
One of the key attractive features of TDM is the simplicity of adoption and delivery by 512
teachers, with no equipment or special training required. However, research into the barriers 513
and facilitators of TDM have found that approximately half the teachers use some form of 514
reward system to increase motivation [46]. Different methods include awarding tokens, 515
tracking distance, or teachers running with pupils [46]. According to theories of motivation 516
(i.e., Self-Determination Theory [47]), if this is done in an outcome-orientated, controlling 517
style, it may undermine longer term autonomous motivation for PA. Additional planning and 518
preparation by teachers can add to their already heavy workload and may result in waning 519
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28
participation in TDM. Qualitative research supports this feeling, suggesting TDM may not be 520
as simple to implement in practice with additional costs associated with extra staff time to 521
prepare for an engaging and exciting Daily Mile experience [48]. Teachers reported the need 522
to keep TDM ‘fresh’ by adding new motivational strategies to keep pupils engaged [48]. 523
524
The intensity TDM is performed at is another important consideration. The majority of 525
longer-term studies failed to measure or report the intensity that TDM was performed. As a 526
result, it is not possible to report the effect of intensity on the outcomes in most studies. It is 527
probable that the studies in which the children performed TDM at a higher intensity saw 528
greater improvements in physical fitness. One study reported a large variation in intensity 529
with the most active children spending the duration of TDM in MVPA, compared to the least 530
active children who only spent 33% at MVPA [19]. More attention in future research could 531
assess intensity, and if intensity levels are implicated in affective experiences of TDM [49]. 532
533
There is also a concern that the long-term sustainability of TDM is limited due to the lack of 534
behaviour change theory principles underpinning it in the school environment. It has been 535
suggested that it may be beneficial to develop a programme theory in order to help 536
understand and explain the behaviour of staff and pupils involved in TDM [50]. Physical 537
activity interventions which were theoretically underpinned have been found to have the 538
greatest effect on long-term behaviour change [51]. More so, the potential theoretical 539
underpinnings of TDM should consider principles from a broad range of approaches, 540
including social-cognitive, humanistic, dual-process, and socioecological frameworks [52]. 541
542
Another factor which needs to be considered in further research is the need to include 543
children with physical or intellectual disabilities. These children were not included in many 544
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29
of the studies in this review, or were excluded from analysis, despite one of TDM core 545
principles being inclusivity. Children with intellectual or physical disabilities are an 546
important group to target as are often reported as being less fit and have poorer health than 547
their non-disabled peers [53]. The ‘Walk-Buds’ trial which is currently underway, operates a 548
peer buddy system, where younger children are partnered with an older peer with similar 549
interests to complete their physical activity [54]. A similar approach may be worth 550
considering with TDM. Furthermore, evaluation into the impact of TDM for children with 551
intellectual or physical disabilities is needed to provide evidence of the benefits for these 552
groups. 553
554
Strengths and limitations 555
This systematic review followed the PRISMA guidelines, and all papers were screened 556
independently by two authors. Data extraction was done by one author and checked by a 557
second, and quality assessment was completed independently by two reviewers. This review 558
implemented a comprehensive search strategy which was developed by the team and 559
institution librarian. A further strength of the study was that it looked at both the acute and 560
long-term effect of TDM. However, there were limitations. There was a high level of 561
heterogeneity between the studies included in the review and therefore it was difficult to 562
compare studies directly. One such difference was how TDM was implemented; for example, 563
the duration of TDM, how many times a week it was performed and the intensity at which it 564
was performed. Moreover, there were large variations in both the reporting of intervention 565
fidelity and the compliance to the intervention. Future studies need to record and report 566
fidelity and compliance data at an individual level as it may be a potential confounder. 567
568
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30
Most studies included in this review involved schools who had self-selected themselves to 569
take part, it is likely that schools with staff who have an interest in PA and are aware of the 570
benefits and importance of it were more likely to take part and were more motivated to 571
facilitate TDM and as a result there could be some sampling bias. 572
573
Conclusion
and future directions 574
The Daily Mile is performed in over 15,600 schools and nurseries across the world [17], in 575
addition to underpinning some public health policy. However, the evidence supporting its 576
benefits is limited to a relatively small number of mostly fair-to-good quality studies (n=13). 577
As such, this systematic review has gone some way to clarify the quality and robustness of 578
this existing evidence base. Findings from this review suggest TDM can increase children’s 579
physical fitness and MVPA levels. There is also some fair-to-good quality evidence that it 580
may improve body composition, mental health, and self-perceptions. TDM did not affect 581
BMI or academic performance, however. An acute bout of TDM did not affect cognitive 582
function, although longer term participation was found to improve some areas of cognitive 583
function. Whilst initial results are promising, the long-term benefits are unclear due to an 584
insufficient number of studies, and a dearth of good and excellent quality study designs 585
across each of the outcomes reported. As such, higher quality research is needed with longer 586
term follow up to explore the sustainability of intervention effects. There is also a need for 587
process evaluations and proper reporting to ascertain implementation. 588
589
A longitudinal quasi-experimental cohort study is currently underway, following children 590
from year 1 to year 6 [55]. It is hoped this, and future studies will provide greater evidence to 591
support the long-term benefits of TDM not only on PA, but on the other outcomes covered in 592
this review. In addition, as only four of the included studies employed any randomisation, 593
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31
future randomised controlled trials are required to ensure that any public policy 594
recommendations for TDM on improving mental health, wellbeing, cognitive function and 595
academic achievement are centred on a stronger scientific evidence base. 596
597
Acknowledgments 598
We would like to acknowledge the support of the Daily Mile Network Northern Ireland, 599
Nicola Topping from the Education Authority Northern Ireland and Colette Brolly from the 600
Public Health Agency in Northern Ireland. 601
602
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