Literature DB >> 24341402

The physical activity profile of active children in England.

Sarah Payne1, Nick Townsend, Charlie Foster.   

Abstract

BACKGROUND: In line with WHO guidelines, the UK government currently recommends that school-aged children participate in at least 60 minutes, and up to several hours, of at least moderate physical activity on a daily basis. A recent health survey indicates that the amount of reported physical activity varies by age, gender and socioeconomic status. The objective of this study is to identify what types of activity contribute most towards overall physical activity in children who achieve the UK physical activity recommendations; and how this varies according to age, gender and socioeconomic status.
METHODS: Self-reported physical activity was captured through the Health Survey for England 2008, a nationally representative, cross-sectional survey. We analysed data from 1,110 children aged 5-15 years who reported meeting the UK physical activity recommendations. The proportions of total physical activity achieved in various domains of activity were calculated and associations with age, gender and socioeconomic status were examined.
RESULTS: Active play was the largest contributor to overall physical activity (boys = 48%, girls = 53%), followed by walking (boys = 17%, girls = 23%). Active school travel contributed only a small proportion (6% for boys and girls). With increasing age, the contribution from active play decreased (rho = -0.417; p < 0.001) and the contribution of walking (rho = 0.257; p < 0.001) and formal sport (rho = 0.219; p < 0.001) increased. At all ages, sport contributed more among boys than girls. Sport contributed proportionately less with increasing deprivation (rho = -0.191; p < 0.001).
CONCLUSIONS: The contributors to overall physical activity among active children varies with age, socioeconomic status and gender. This knowledge can be used to target interventions appropriately to increase physical activity in children at a population level.

Entities:  

Mesh:

Year:  2013        PMID: 24341402      PMCID: PMC3878680          DOI: 10.1186/1479-5868-10-136

Source DB:  PubMed          Journal:  Int J Behav Nutr Phys Act        ISSN: 1479-5868            Impact factor:   6.457


Background

Regular physical activity is associated with a range of health benefits for children including beneficial effects on musculoskeletal health and adiposity [1,2]; mental health and cardiovascular disease risk factors such as hypertension and high levels of high-density lipoprotein cholesterol (HDL-C) [2]. Participation in regular physical activity in childhood and adolescence has also been reported to positively influence physical activity levels in adulthood [3,4]. The UK government currently recommends that school-aged children participate in at least 60 minutes, and up to several hours, of at least moderate physical activity on a daily basis [5]. This recommendation is based on the current evidence and is similar to other national physical activity recommendations [2,6,7]. The 2008 Health Survey for England (HSE) reported that only 32% of all boys and 24% of all girls aged 2–15 years in England meet this recommendation [8]. This survey also identified differences in the amount of reported physical activity by age, particularly in girls, and by socioeconomic status. Differences in physical activity in children by age and gender have also been reported elsewhere in the literature [9-11], however the evidence of association with socioeconomic status is not clear [12,13]. There are various domains of activity that contribute to children’s overall physical activity levels including: active travel; organised or structured sport; informal play; domestic and leisure activities. The promotion of physical activity in both adults and children has been an important policy agenda in recent years. Current policies and strategies to increase physical activity in children promote a multi-component approach, across a variety of interventions in different settings [14-17]. A better understanding of the types of activity most commonly undertaken by active children could help target interventions toward specific groups of children, to have the most impact on increasing physical activity at a population level. This study aims to identify what types of activity contribute most to the overall physical activity levels in children who reported achieving the UK recommendations; and how this varies according to age, gender and socioeconomic status.

Methods

This study uses data from the 2008 Health Survey for England, a nationally representative, private-household based, cross-sectional survey of children and adults in England. The 2008 HSE included specific questions on physical activity in addition to the general health questions included in other years. The children’s physical activity questionnaire was validated in 2007 and found to have “moderate external validity for measuring the time spent in moderate or vigorous physical activity” [18]. A multi-stage, stratified, random, core sample of 16,056 addresses and a boost sample of 19,404 addresses were selected. Each individual within a selected household was eligible for inclusion. Where there were more than two children in a household, two were randomly selected for inclusion. Interviews were carried out in 64% of households in the general population sample and 73% of households in the boost sample yielding 3,473 children aged 0–15 years and 4,048 children aged 2–15 years respectively giving a total sample of 7,521 children. Children aged 13–15 years were interviewed directly, whereas the parents of children aged 0–12 years were asked about their children, with the children present wherever possible. Children were asked to recall their physical activity for each day over the seven days prior to the interview day; excluding physical activity during school curriculum time. Intensity of physical activity was not measured and has not been used in this analysis. Data on demographic and social factors were also collected including age, sex and socioeconomic status (measured by Index of Multiple Deprivation 2007 (IMD) quintile). The IMD is a composite score of seven domains: Income deprivation; Employment deprivation; Health deprivation and disability; Education, skills and training; Barriers to housing and services; Crime; The living environment, which are weighted and combined together to create the overall IMD. More detail on the HSE survey methodology can be found elsewhere [19]. In our analysis we included children aged 5–15 years (1,934 children aged <5 years were excluded). We excluded children who had not attended school on at least one day in the past seven days (n = 952) and children whose self-reported activity per day was less than zero minutes in any category of physical activity (n = 21). Summary physical activity variables were derived from the data and activities were grouped into six categories based on those used in the HSE questionnaire: domestic activity (e.g. gardening & housework); active travel (walking or cycling to/from school only); walking (excluding to/from school); cycling (excluding to/from school); active play (e.g. skipping, general play, hopscotch, dancing); sport (including team sports such as rugby or hockey; individual sports; or structured activities such as swimming, gymnastics, yoga or horse riding).

Statistical analyses

We calculated the mean minutes per week, across all children, for each category of physical activity and the percentage of mean total minutes of physical activity accounted for by each category. Data were weighted for child selection within each household using HSE weights [19] and analysed using STATA 11 [20]. Descriptive analysis investigated the contribution of each category of physical activity to total physical activity, stratified by demographic and socioeconomic factors. Associations between these factors and reported physical activity were tested using one-way ANOVA and trends were tested using Spearman’s Rank test. Children were considered to have achieved the recommended level of physical activity if they reported at least 60 minutes of physical activity a day on all seven days of the week; in line with the 2011 UK Government recommendations.

Results

After exclusions, 4,614 children remained in our sample for analysis, of which 24% (1,110) met the recommendation of 60 minutes or more of physical activity per day (19% of girls and 29% of boys). Active play contributed the most to total physical activity (50%), followed by walking (19%). A large proportion of children (58%) did sufficient active play to achieve their total weekly recommendation of physical activity through this activity alone; 18% achieved it through walking alone, whereas only 11% achieved it through sport alone.

Gender

Stratified by gender, active play contributed 48% among boys; the next largest contributor was walking (17%) followed closely by sport and cycling (16% and 12% respectively). Active travel contributed only 6% and domestic activities such as housework and gardening contributed minimally (Table  1).
Table 1

Contribution of categories of physical activity among girls and boys by age and socioeconomic status (mean minutes per week; and mean percentage contribution to total weekly physical activity)

 
 
All physical activity
Sport
Active travel
Active play
Walking
Cycling
Domestic activity
  MinsMins%Mins%Mins%Mins%Mins%Mins%
Boys (n)
All (668)
1,229
201
16
71
6
574
48
225
17
144
12
13
1
Age group (n)
5-6 yrs (123)
1,035
85
8
54
6
665
63
141
13
85
9
6
1
 
7-8 yrs (118)
1,083
147
15
66
6
597
55
134
12
131
12
9
1
 
9-10 yrs (131)
1,201
204
15
52
5
605
52
155
12
172
15
13
1
 
11-12 yrs (118)
1,204
204
19
91
7
543
44
203
18
147
12
16
1
 
13-15 yrs (178)
1,498
313
20
88
6
495
34
408
27
173
11
20
1
Girls (n)
All (442)
1,121
118
10
66
6
599
53
249
23
68
5
21
2
Age group (n)
5-6 yrs (97)
1,079
40
4
70
7
732
67
149
15
80
7
8
1
 
7-8 yrs (93)
1,083
86
9
62
6
745
67
125
13
46
4
18
2
 
9-10 yrs (93)
1,086
118
10
43
5
594
54
226
23
93
7
13
1
 
11-12 yrs (74)
1,117
129
12
81
8
474
43
314
28
88
7
31
2
 
13-15 yrs (85)
1,255
231
16
79
7
403
32
468
38
35
3
39
4
Boys (n)
All (668)
1,229
201
16
71
6
574
48
225
17
144
12
13
1
IMD quintile (n)
Least deprived (118)
1,059
212
20
59
6
457
44
217
20
103
9
11
1
 
Q2 (109)
1,269
314
22
67
6
524
44
210
16
139
11
15
1
 
Q3 (136)
1,211
153
13
87
7
589
50
225
18
148
12
9
1
 
Q4 (139)
1,222
178
14
68
5
601
52
187
14
170
13
18
1
 
Most deprived (166)
1,345
178
12
73
5
656
51
271
18
152
13
14
1
Girls (n)
All (442)
1,121
118
10
66
6
599
53
249
23
68
5
21
2
IMD quintile (n)
Least deprived (82)
991
141
14
56
6
496
50
207
22
72
6
18
2
 
Q2 (75)
968
123
13
60
6
552
55
159
18
57
6
19
2
 
Q3 (82)
1,064
123
9
58
6
543
53
248
23
80
7
14
2
 
Q4 (86)
1,150
90
8
65
6
620
56
269
24
90
6
15
1
 Most deprived (117)1,33111688477275432326493333
Contribution of categories of physical activity among girls and boys by age and socioeconomic status (mean minutes per week; and mean percentage contribution to total weekly physical activity) Among girls there was a slightly different pattern. Active play contributed slightly more than in boys (53%); as did walking (23%), with smaller contributions coming from sport (10%) and cycling (5%). Similarly with boys, active travel contributed 6% and domestic activities contributed a minimal amount.

Age

The main changes in the contributors to overall physical activity with increasing age were a decrease in the proportion contributed from active play (rho = -0.417; p < 0.001) and a corresponding increase in both walking (rho = 0.257; p < 0.001) and sport (rho = 0.219; p < 0.001) (Figure  1; Table  2). Analysis by minutes of activity per week was consistent with these findings (Figure  2). There was a small significant association between age and the proportion of all physical activity achieved through active travel (F = 3.26; p = 0.011) but no significant trend. Though domestic activity contributed a very small proportion to overall physical activity, there was a small but significant increase in this with age (rho = 0.096; p = 0.001).
Figure 1

Mean percentage of all physical activity contributed by each category of activity, by age group and gender in England in 2008.

Table 2

Associations of the contributions of activity categories to total activity with age-group, or socioeconomic status

 ANOVA (F)*ANOVA (p-value)Spearman’s (rho)Spearman’s (p-value)
Total minutes of physical activity by age-group (all, n = 1,110)
9.4
<0.001
0.176
<0.001
Total minutes of physical activity by age-group (boys, n = 668)
8.81
<0.001
0.253
<0.001
Total minutes of physical activity by age-group (girls, n = 442)
0.95
0.433
0.035
0.461
Contribution by age-group, % (all)
 
 
 
 
  Sport†
18.24
<0.001
0.219
<0.001
  Active travel
3.26
0.011
0.040
0.180
  Active Play†
59.75
<0.001
-0.417
<0.001
  Walking†
31.5
<0.001
0.257
<0.001
  Cycling
1.83
0.121
0.005
0.871
  Domestic activity†
2.45
0.045
0.096
0.001
Contribution by age-group, % (boys)
 
 
 
 
  Sport†
9.11
<0.001
0.206
<0.001
  Active travel
1.36
0.248
0.043
0.271
  Active Play†
29.17
<0.001
-0.385
<0.001
  Walking†
17.19
<0.001
0.228
<0.001
  Cycling
1.78
0.132
0.026
0.508
  Domestic activity
0.91
0.456
0.079
0.041
Contribution by age-group, % (girls)
 
 
 
 
  Sport†
8.33
<0.001
0.195
<0.001
  Active travel
2.12
0.077
0.032
0.504
  Active Play†
31.41
<0.001
-0.448
<0.001
  Walking†
20.61
<0.001
0.348
<0.001
  Cycling
2.82
0.025
-0.082
0.084
  Domestic activity†
2.67
0.032
0.134
0.005
Contributions in minutes by age-group (all)
 
 
 
 
  Sport†
19.51
<0.001
0.251
<0.001
  Active travel†
6.79
<0.001
0.089
0.003
  Active Play†
9.55
<0.001
-0.234
<0.001
  Walking†
37.74
<0.001
0.291
<0.001
  Cycling
2.5
0.041
0.025
0.416
  Domestic activity†
3.46
0.008
0.101
<0.001
Contributions in minutes by age-group (boys)
 
 
 
 
  Sport†
10.17
<0.001
0.262
<0.001
  Active travel†
4.61
0.001
0.117
0.002
  Active Play†
2.91
0.021
-0.168
<0.001
  Walking†
21.46
<0.001
0.269
<0.001
  Cycling
2.84
0.024
0.060
0.121
  Domestic activity
1.23
0.295
0.086
0.027
Contributions in minutes by age-group (girls)
 
 
 
 
  Sport†
8.9
<0.001
0.196
<0.001
  Active travel
2.66
0.032
0.039
0.408
  Active Play†
8.14
<0.001
-0.329
<0.001
  Walking†
22.13
<0.001
0.355
<0.001
  Cycling
1.8
0.128
-0.081
0.090
  Domestic activity†
3.08
0.016
0.136
0.004
Contribution by IMD, % (all)
 
 
 
 
  Sport†
10.36
<0.001
-0.191
<0.001
  Active travel
0.96
0.427
0.036
0.236
  Active Play
2.22
0.650
0.077
0.010
  Walking
1.6
0.173
-0.017
0.575
  Cycling
0.75
0.560
-0.066
0.029
  Domestic activity
0.67
0.611
-0.011
0.708
Contribution by IMD, % (boys)
 
 
 
 
  Sport†
7.41
<0.001
-0.195
<0.001
  Active travel
1.3
0.267
0.011
0.777
  Active Play†
2.79
0.026
0.102
0.009
  Walking
1.72
0.145
-0.074
0.057
  Cycling
1.14
0.334
-0.019
0.632
  Domestic activity
0.62
0.652
-0.049
0.205
Contribution by IMD, % (girls)
 
 
 
 
  Sport†
3.77
0.005
-0.193
<0.001
  Active travel
0.57
0.684
0.068
0.155
  Active Play
0.43
0.789
0.038
0.426
  Walking
1.44
0.219
0.066
0.168
  Cycling
1.38
0.241
-0.129
0.007
  Domestic activity
0.92
0.455
0.038
0.428
Contributions in minutes by IMD (all)†5.38<0.0010.132<0.001

†Significant at p < 0.05 for both ANOVA and spearman's.

*Degrees of freedom for all ANOVA tests is 4.

Figure 2

Mean minutes of all physical activity and contributions by each category of activity- by age group and gender in England in 2008.

Mean percentage of all physical activity contributed by each category of activity, by age group and gender in England in 2008. Associations of the contributions of activity categories to total activity with age-group, or socioeconomic status †Significant at p < 0.05 for both ANOVA and spearman's. *Degrees of freedom for all ANOVA tests is 4. Mean minutes of all physical activity and contributions by each category of activity- by age group and gender in England in 2008. The changes with age were similar in both boys and girls, though the increase in the proportion of all physical activity accounted for by walking was greater among girls. Among boys, the overall increase in total minutes of physical activity with age included an increase in active travel (rho = 0.117; p = 0.002) in addition to walking (rho = 0.269; p < 0.001) and sport (rho = 0.262; p < 0.001). Among girls, though there was no increase in minutes of physical activity with increasing age, mean minutes of walking and sport both increased with age (rho = 0.355 and rho = 0.196; p < 0.001) and mean minutes of active play decreased (rho = -0.329; p < 0.001) (Figure  2; Table  2).

SES

Sport contributed proportionately less with increasing deprivation (rho = -0.191; p < 0.001) and active play contributed more (rho = 0.077; p = 0.01). Stratified by gender, this trend in contribution of sport remained significant for both boys (rho = -0.195) and girls (rho = -0.193) (p < 0.001 for both) but the increase in active play with increasing deprivation only remained significant for boys (rho = 0.102; p = 0.009).

Discussion

Overall, this study found significant differences by age, gender and socioeconomic status in the contributors to physical activity among those children who reported doing the recommended amount of physical activity per week. Walking and active play were the biggest contributors to overall physical activity; sport and active school travel contributed a comparatively small proportion each. Active play was the largest contributor to overall physical activity in younger children but with increasing age walking took over. Such changes with age in the type of activity undertaken by children are not unexpected given their changing maturity across the age range 5–15 years and their increasing independence, particularly given that some of the time spent walking may be for active travel purposes (excluding to/from school). The contribution from sport increased with age for both boys and girls, contributing the most among older boys. A similar pattern of a substantial contribution from walking and a comparatively small contribution to overall physical activity from sport has also been reported in adults in England [21] indicating that this pattern continues into adulthood. The main differences between the activity profile of girls and boy were the contributions from sport and cycling, which made a smaller contribution among girls than boys (15% combined among girls compared to 28% among boys); and walking and active play which contributed a larger proportion among girls (76% combined compared to 65%). At all ages, sport contributed a larger proportion to physical activity among boys than among girls. The substantial contributions of walking and active play highlight the important role that informal exercise plays in childrens’ physical activity. This emphasis on informal play activity is also supported by qualitative research which highlights that among young children fun, social interaction and variety, without the element of competition are factors which encourage participation in physical activity [22]. Few other studies have looked at the role of informal play, active travel and domestic activity in addition to structured sport and exercise, in the total physical activity of children and yet this study shows that play in particular is an important contributor. This study is also unique in looking specifically at the contributors to physical activity among active children rather than the population as a whole. Limiting the study sample to only active children allows a clearer view of the types of activity that contribute a substantial amount to overall time spent physically active and provides an indication of what types of activity children do when they are achieving the recommended levels of physical activity. Differences in the activity profile of boys and girls, particularly the role played by sport, may reflect gender differences in motivations for physical activity. Several studies have found that males are more motivated by competition than females [23,24]. Vilhjalmsson and Kristjansdottir [25] concluded, in a study of the gender differences in activity among Icelandic schoolchildren, that the difference in overall physical activity between boys and girls was entirely attributable to lower participation in sport among girls. Our study indicates that although the proportion of all activity achieved through sport does differ between boys and girls, other domains of activity such as cycling also contribute to the gender difference in overall physical activity. Several UK studies have concluded that active school travel does not make a substantial contribution to overall daily physical activity [26-28]; although there is evidence to suggest that active school travel is associated with increased overall physical activity [26,27,29], supporting the ‘activity synergy’ hypothesis. The indication from our analysis, that active school travel contributes only a small amount to total physical activity even among active children, further supports these findings. The categorisation of activity data into ‘walking’, ‘cycling’ or ‘active travel to/from school’ does not allow for analysis of the overall contribution of active travel to total physical activity. However, one recent study has shown that non-school active travel is only a small contributor to overall daily moderate to vigorous physical activity in a group of British 8–13 year olds [27]. Our finding that sport contributes less to total physical activity in more deprived children; and that they report less time undertaking sport despite higher overall levels of physical activity, concurs with an Australian study investigating socio-economic position and sports participation which found that adolescents from lower income backgrounds participated in less sport compared with those from wealthier backgrounds [30].

Study strengths and limitations

Strengths of this study include the use of a large, nationally representative sample. The overall response rate to the HSE (64% of the core and 73% of the boost sample) reduces the likelihood of non-response bias. Self-reported physical activity can be subject to recall and social desirability bias. However, it remains one of the most practical ways to assess physical activity in a large population survey. The physical activity questionnaire used in the HSE was validated and found to have “moderate validity” for measuring the volume of activity when tested against accelerometry data [18]. Self-reporting is a useful tool for determining the types of activity undertaken therefore this questionnaire is a pragmatic method for measuring the contributors to physical activity in this study. Recall bias, if consistent across respondents and for different categories of activity, is unlikely to affect the comparative analysis by age, gender and socioeconomic status or the relative contributions of categories of physical activity. A limitation of this study is that curriculum-time school-based physical activity was not captured, based on the assumption that curriculum time physical activity is prescriptive and would vary little across the survey population. This is likely to have led to a small underestimate of total minutes of physical activity. Moreover, intensity of physical activity was not captured on the assumption that all children’s physical activity is at least of moderate intensity. This may have led to an overestimate of total time spent doing ‘at least moderate activity’. Different categories of activity may be more or less at risk of this intensity misclassification than others, introducing bias to our results which cannot be accounted for. However, a recent study of physical activity in British children found that the proportion of physical activity time that was spent at moderate to vigorous intensity when engaged in structured sport, out of home play and non-school active travel (which would include both walking and cycling) was similar [27]. This study adds evidence of the differences in the activities that contribute to total physical activity levels, by age, gender and deprivation. It confirms the importance of informal physical activity for boys and girls of all ages, and highlights the gender differences in adoption of activities such as cycling and sport, even among those children considered active. There is a growing body of qualitative evidence on the barriers and facilitators to physical activity in children that supports the need to target interventions by factors such as age and gender [22,31]. The literature also highlights the important role of environmental facilities for physical activity such as traffic safety; perception of the local environment; and the culture of car use, in influencing physical activity in children [22,31-33]. Knowledge of the types of activities most commonly adopted among children who are active can be used alongside the body of evidence on barriers, motivators and effectiveness of interventions, to help target interventions appropriately and influence the success of strategies to increase physical activity in children at a population level.

Conclusions

This study provides a greater understanding of the physical activity profile of children who meet the UK physical activity recommendations. This knowledge could help guide future policy decisions to increase physical activity in children and inform effective strategies to increase the proportion of children meeting the physical activity recommendations. In developing interventions, consideration should be given to age, socioeconomic status and gender-related differences in the types of physical activity most likely to be adopted by children. Future research based on objective measures of physical activity behaviours, in combination with qualitative research on the motivations and barriers to specific types of activity will enable a better understanding of what drives physical activity in children.

Competing interest

The authors have no conflict of interest to declare.

Authors’ contributions

SP acquired, analysed and interpreted the data, drafted the manuscript and gave final approval of the version to be published. NT designed the study, interpreted the data, critically reviewed the manuscript and gave final approval of the version to be published. CF designed the study, critically reviewed the manuscript and gave final approval of the version to be published.
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Journal:  Prev Med       Date:  2009-03-09       Impact factor: 4.018

10.  An examination of multilevel factors that may explain gender differences in children's physical activity.

Authors:  Noe C Crespo; Kirsten Corder; Simon Marshall; Gregory J Norman; Kevin Patrick; Jim F Sallis; John P Elder
Journal:  J Phys Act Health       Date:  2012-11-05
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  15 in total

1.  Influence of Muscle Architecture on Maximal Rebounding in Young Boys.

Authors:  John M Radnor; Jon L Oliver; Charlie M Waugh; Gregory D Myer; Rhodri S Lloyd
Journal:  J Strength Cond Res       Date:  2021-12-01       Impact factor: 3.775

2.  Physical Activity and Sports Participation among Adolescents: Associations with Sports-Related Knowledge and Attitudes.

Authors:  Leila Oja; Jaanika Piksööt
Journal:  Int J Environ Res Public Health       Date:  2022-05-20       Impact factor: 4.614

3.  International inter-school competition to encourage children to walk to school: a mixed methods feasibility study.

Authors:  Ruth F Hunter; Debra de Silva; Veronica Reynolds; William Bird; Kenneth R Fox
Journal:  BMC Res Notes       Date:  2015-01-27

4.  Context matters! sources of variability in weekend physical activity among families: a repeated measures study.

Authors:  Robert J Noonan; Stuart J Fairclough; Zoe R Knowles; Lynne M Boddy
Journal:  BMC Public Health       Date:  2017-04-18       Impact factor: 3.295

5.  Correlates of intensity-specific physical activity in children aged 9-11 years: a multilevel analysis of UK data from the International Study of Childhood Obesity, Lifestyle and the Environment.

Authors:  Hannah J Wilkie; Martyn Standage; Fiona B Gillison; Sean P Cumming; Peter T Katzmarzyk
Journal:  BMJ Open       Date:  2018-02-03       Impact factor: 2.692

6.  Association of mentally-active and mentally-passive sedentary behaviour with depressive symptoms among adolescents.

Authors:  André O Werneck; Erin Hoare; Brendon Stubbs; Esther M F van Sluijs; Kirsten Corder
Journal:  J Affect Disord       Date:  2021-07-13       Impact factor: 4.839

7.  Teacher and pupil perspectives on the use of Virtual Field Trips as physically active lessons.

Authors:  E Norris; N Shelton; S Dunsmuir; O Duke-Williams; E Stamatakis
Journal:  BMC Res Notes       Date:  2015-11-25

8.  The physical activity profiles of South Asian ethnic groups in England.

Authors:  Prachi Bhatnagar; Nick Townsend; Alison Shaw; Charlie Foster
Journal:  J Epidemiol Community Health       Date:  2015-12-16       Impact factor: 3.710

Review 9.  The Influence of Growth and Maturation on Stretch-Shortening Cycle Function in Youth.

Authors:  John M Radnor; Jon L Oliver; Charlie M Waugh; Gregory D Myer; Isabel S Moore; Rhodri S Lloyd
Journal:  Sports Med       Date:  2018-01       Impact factor: 11.136

10.  Composition of objectively measured physical activity and sedentary behaviour participation across the school-day, influence of gender and weight status: cross-sectional analyses among disadvantaged Victorian school children.

Authors:  Claudia Strugnell; Kyle Turner; Mary Malakellis; Josh Hayward; Charlie Foster; Lynne Millar; Steve Allender
Journal:  BMJ Open       Date:  2016-09-06       Impact factor: 2.692

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