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Its More than a Walk in the Park
Southwark Cathedral, 8 July 2004
The Health Benefits of
Walking and Playing
James Paskins, Roger Mackett,
Lindsey Lucas and Jill Turbin
Centre for Transport Studies
University College London
CATS: Children’s Activity and
Travel Survey
 CATS is one part of Reducing children’s
car use: the health and potential car
dependency impacts
 Funded by EPSRC under the FIT
programme
 The work was carried out in
collaboration with Hertfordshire CC,
health experts, an epidemiologist and a
health promotion expert
Setting the scene:
Changes in children's travel
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1985/86 2002
Other
Car
Bicycle
Walk
Methods of travel by children in Great Britain (NTS)
Setting the scene:
Changes in children's travel
 The National Travel Survey tells us
that the children are making an
increasing proportion of their
journeys by car
 Children are making fewer but
longer journeys
 This increase in car use has been at
the cost of the active modes:
walking and cycling
Setting the scene: Changes in
children’s physical activity
 The increase in children’s car use is
occurring at the same time as
concerns are being raised about
children’s physical activity
 There is growing concern that
decreasing physical activity will lead to
increasing obesity and other long term
health problems
Setting the scene:
Children are getting fatter
According to the UK Chief Medical
Officer:
 8.5% of 6 year olds and 15% of 15
year olds are obese
 Between 1996 and 2001 the
proportion of overweight children
increased by 7% and obese children
by 3.5%
CATS: The sample
Male Female Total
Year 6
(age 10-11)
54 58 112
Year 8
(age 12-13)
42 41 83
Total 96 99 195
200 children were originally recruited but 5 did not
include enough data to be included in the analysis
Measuring physical activity:
The RT3 motion sensor
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00
Time of day
Activitycalories(kcal) Measuring physical activity:
Example output from the RT3
Measuring physical activity:
A child’s travel and activity diary
I left at :
:
I got there at
:
I travelled there by
Then I went to…
I left at :
:
I got there at
:
I travelled there by
Then I went to…
Peter’s house
Walked
15 20
Played on the computer then
played football
18 40
Home
Car
19 00
Watched TV and went to bed
Measuring physical activity:
A child’s travel and activity diary
I left at :
:
I got there at
:
I travelled there by
Then I went to…
I left at :
:
I got there at
:
I travelled there by
Then I went to…
Peter’s house
Walked
15 20
Played on the computer then
played football
18 40
Home
Car
19 00
Watched TV and went to bed
Activit
y
Trave
l
mode
Event
duration
Location
Trip duration
Measuring physical activity:
Classifying the diary responses
 A classification scheme was devised to group
similar activities together
 At the broadest level there are 8 “event” types
used to classify the children’s responses
School Travel
Clubs and tuition
(structured activities)
Playing
(unstructured activities)
Being at their own home Being at other people’s homes
Out on trips Other
(physical work and waiting)
Measuring physical activity:
Disaggregating the Broad Events
Clubs and tuition
(structured activities)
 Structured ball
games
 Other structured
sport
 Organisations
 Tuition
Playing
(unstructured activities)
 Unstructured ball
games
 Other unstructured
sport
 Other outdoor play
Children’s travel:
Trips per week to various activities
Walk Car Other Total
School 2.6 1.4 0.5 4.6
Clubs and tuition 0.3 0.8 0.0 1.2
Playing 0.7 0.4 0.0 1.2
Out on trips 0.6 1.7 0.2 2.4
Other homes 1.5 1.4 0.2 3.1
Other 0.3 0.3 0.0 0.7
Total 5.9 6.1 1.1 13.1
Children’s travel:
Intensity of travel by children
Mode of Travel Intensity
(kcal/min)
Walking 2.3
Car 1.0
Bicycle 1.7
Bus 1.5
Overall 1.6
Intensity of children’s activities
Activity Intensity
(kcal/min)
School 1.0
Clubs and tuition 1.7
Playing 2.2
Out on trips 1.1
Own home 0.6
Other homes 0.9
Travel 1.6
Other 1.0
Overall 0.9
Linking travel and events
 Taken independently, mode of
travel and type of event are
important determinants of children’s
physical activity
 Is there a relationship between the
mode of travel used by a child to
get to an event and the intensity of
activity when they are there?
Linking travel and events
Travel Mode
Event Walk Car
PE/Games 3.5 2.4 *
Other school lesson 0.6 0.5
School break 2.0 1.7
Clubs and tuition 1.7 1.6
Playing 2.4 2.0 *
Out on trips 1.5 1.0 *
Other homes 1.1 0.8 *
Overall 1.7 1.3
* Significant difference (p<0.05) between modes
Energy used in a week in school
travel compared with PE/games
0
100
200
300
400
500
600
700
Year 6 boys Year 6 girls Year 8 boys Year 8 girls
Car
Bus
Walk
Bicycle
PE/games
Comparing structured and unstructured
events: The sample
 Only 46 of the 195 children took part in
both structured and unstructured events
over the 4 days
 We can compare intensities and durations
for the two event types within this group
Male Female Total
Year 6 (10-11) 8 16 24
Year 8 (12-13) 13 9 22
Total 21 25 46
Comparing structured and unstructured
events: Intensity of events
Unstructured activities - Activity Calorie intensity (7day)
76543210
Structuredactivities-ActivityCalorieintensity(7day)
3.5
3.0
2.5
2.0
1.5
1.0
.5
0.0
-.5
There is a significant
positive correlation
between the intensity
of unstructured
events and the
intensity of structured
events
Comparing structured and unstructured
events: Intensity of events
There is a significant
difference between
the intensity of
unstructured events
and the intensity of
structured events
(for the children who
do both types of
activity)
UnstructuredStructured
Mean
2.5
2.0
1.5
1.0
.5
0.0
Comparing structured and unstructured
events: Duration of events
There is a significant
negative correlation
between the duration
of unstructured
events and the
duration of structured
events
Unstructured duration (7day)
10008006004002000
Structuredduration(7day)
1200
1000
800
600
400
200
0
Comparing structured and unstructured
events
 There is a significant positive
correlation for intensity
– active children?
 There is a significant negative
correlation for duration
– time lost for unstructured play?
 For those who did both types of
activity unstructured events are
significantly more intense
 NB: Based on a small sub-sample
Conclusions
 Children are walking less
 Children are getting fatter
 This is partly due to increased car use
 Children’s physical activity is linked to;
 Being out of the house
 Active modes: walking and cycling
 Unstructured play
 Walking to school can provide
significant quantities of exercise
(comparable in scale to PE lessons)
Conclusions (2)
 The switch from unstructured to
structured outdoor activities is leading
to more car use
 All children’s activities consume
calories, but outdoor activities, including
playing, are particularly good
 Walking is associated with more intense
activity at the destination
 Being at home is associated with low
calorie expenditure
Future work
 The children’s car use project finished
at the beginning of 2004
 CAPABLE is a new EPSRC funded
project that will build on this work
 Doubling our activity monitoring sample
 Adding information about children’s
movements, through gps monitoring
 Studying the link between physical
activity and cognitive skills
Further information
The project website can be found at
 www.cts.ucl.ac.uk/research/chcaruse/
 Professor Roger Mackett
 E-mail: rlm@transport.ucl.ac.uk
 Phone: 020 7679 1554
 James Paskins
 E-mail: james@transport.ucl.ac.uk
 Phone: 020 7679 7679

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The health benefits of walking and playing paskins

  • 1. Its More than a Walk in the Park Southwark Cathedral, 8 July 2004 The Health Benefits of Walking and Playing James Paskins, Roger Mackett, Lindsey Lucas and Jill Turbin Centre for Transport Studies University College London
  • 2. CATS: Children’s Activity and Travel Survey  CATS is one part of Reducing children’s car use: the health and potential car dependency impacts  Funded by EPSRC under the FIT programme  The work was carried out in collaboration with Hertfordshire CC, health experts, an epidemiologist and a health promotion expert
  • 3. Setting the scene: Changes in children's travel 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1985/86 2002 Other Car Bicycle Walk Methods of travel by children in Great Britain (NTS)
  • 4. Setting the scene: Changes in children's travel  The National Travel Survey tells us that the children are making an increasing proportion of their journeys by car  Children are making fewer but longer journeys  This increase in car use has been at the cost of the active modes: walking and cycling
  • 5. Setting the scene: Changes in children’s physical activity  The increase in children’s car use is occurring at the same time as concerns are being raised about children’s physical activity  There is growing concern that decreasing physical activity will lead to increasing obesity and other long term health problems
  • 6. Setting the scene: Children are getting fatter According to the UK Chief Medical Officer:  8.5% of 6 year olds and 15% of 15 year olds are obese  Between 1996 and 2001 the proportion of overweight children increased by 7% and obese children by 3.5%
  • 7. CATS: The sample Male Female Total Year 6 (age 10-11) 54 58 112 Year 8 (age 12-13) 42 41 83 Total 96 99 195 200 children were originally recruited but 5 did not include enough data to be included in the analysis
  • 9. 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 Time of day Activitycalories(kcal) Measuring physical activity: Example output from the RT3
  • 10. Measuring physical activity: A child’s travel and activity diary I left at : : I got there at : I travelled there by Then I went to… I left at : : I got there at : I travelled there by Then I went to… Peter’s house Walked 15 20 Played on the computer then played football 18 40 Home Car 19 00 Watched TV and went to bed
  • 11. Measuring physical activity: A child’s travel and activity diary I left at : : I got there at : I travelled there by Then I went to… I left at : : I got there at : I travelled there by Then I went to… Peter’s house Walked 15 20 Played on the computer then played football 18 40 Home Car 19 00 Watched TV and went to bed Activit y Trave l mode Event duration Location Trip duration
  • 12. Measuring physical activity: Classifying the diary responses  A classification scheme was devised to group similar activities together  At the broadest level there are 8 “event” types used to classify the children’s responses School Travel Clubs and tuition (structured activities) Playing (unstructured activities) Being at their own home Being at other people’s homes Out on trips Other (physical work and waiting)
  • 13. Measuring physical activity: Disaggregating the Broad Events Clubs and tuition (structured activities)  Structured ball games  Other structured sport  Organisations  Tuition Playing (unstructured activities)  Unstructured ball games  Other unstructured sport  Other outdoor play
  • 14. Children’s travel: Trips per week to various activities Walk Car Other Total School 2.6 1.4 0.5 4.6 Clubs and tuition 0.3 0.8 0.0 1.2 Playing 0.7 0.4 0.0 1.2 Out on trips 0.6 1.7 0.2 2.4 Other homes 1.5 1.4 0.2 3.1 Other 0.3 0.3 0.0 0.7 Total 5.9 6.1 1.1 13.1
  • 15. Children’s travel: Intensity of travel by children Mode of Travel Intensity (kcal/min) Walking 2.3 Car 1.0 Bicycle 1.7 Bus 1.5 Overall 1.6
  • 16. Intensity of children’s activities Activity Intensity (kcal/min) School 1.0 Clubs and tuition 1.7 Playing 2.2 Out on trips 1.1 Own home 0.6 Other homes 0.9 Travel 1.6 Other 1.0 Overall 0.9
  • 17. Linking travel and events  Taken independently, mode of travel and type of event are important determinants of children’s physical activity  Is there a relationship between the mode of travel used by a child to get to an event and the intensity of activity when they are there?
  • 18. Linking travel and events Travel Mode Event Walk Car PE/Games 3.5 2.4 * Other school lesson 0.6 0.5 School break 2.0 1.7 Clubs and tuition 1.7 1.6 Playing 2.4 2.0 * Out on trips 1.5 1.0 * Other homes 1.1 0.8 * Overall 1.7 1.3 * Significant difference (p<0.05) between modes
  • 19. Energy used in a week in school travel compared with PE/games 0 100 200 300 400 500 600 700 Year 6 boys Year 6 girls Year 8 boys Year 8 girls Car Bus Walk Bicycle PE/games
  • 20. Comparing structured and unstructured events: The sample  Only 46 of the 195 children took part in both structured and unstructured events over the 4 days  We can compare intensities and durations for the two event types within this group Male Female Total Year 6 (10-11) 8 16 24 Year 8 (12-13) 13 9 22 Total 21 25 46
  • 21. Comparing structured and unstructured events: Intensity of events Unstructured activities - Activity Calorie intensity (7day) 76543210 Structuredactivities-ActivityCalorieintensity(7day) 3.5 3.0 2.5 2.0 1.5 1.0 .5 0.0 -.5 There is a significant positive correlation between the intensity of unstructured events and the intensity of structured events
  • 22. Comparing structured and unstructured events: Intensity of events There is a significant difference between the intensity of unstructured events and the intensity of structured events (for the children who do both types of activity) UnstructuredStructured Mean 2.5 2.0 1.5 1.0 .5 0.0
  • 23. Comparing structured and unstructured events: Duration of events There is a significant negative correlation between the duration of unstructured events and the duration of structured events Unstructured duration (7day) 10008006004002000 Structuredduration(7day) 1200 1000 800 600 400 200 0
  • 24. Comparing structured and unstructured events  There is a significant positive correlation for intensity – active children?  There is a significant negative correlation for duration – time lost for unstructured play?  For those who did both types of activity unstructured events are significantly more intense  NB: Based on a small sub-sample
  • 25. Conclusions  Children are walking less  Children are getting fatter  This is partly due to increased car use  Children’s physical activity is linked to;  Being out of the house  Active modes: walking and cycling  Unstructured play  Walking to school can provide significant quantities of exercise (comparable in scale to PE lessons)
  • 26. Conclusions (2)  The switch from unstructured to structured outdoor activities is leading to more car use  All children’s activities consume calories, but outdoor activities, including playing, are particularly good  Walking is associated with more intense activity at the destination  Being at home is associated with low calorie expenditure
  • 27. Future work  The children’s car use project finished at the beginning of 2004  CAPABLE is a new EPSRC funded project that will build on this work  Doubling our activity monitoring sample  Adding information about children’s movements, through gps monitoring  Studying the link between physical activity and cognitive skills
  • 28. Further information The project website can be found at  www.cts.ucl.ac.uk/research/chcaruse/  Professor Roger Mackett  E-mail: rlm@transport.ucl.ac.uk  Phone: 020 7679 1554  James Paskins  E-mail: james@transport.ucl.ac.uk  Phone: 020 7679 7679

Notes de l'éditeur

  1. FIT Future Integrated Transport – nothing to do with fitness! EPSRC Engineering and Physical Sciences Research Council
  2. 195 children at schools in Hertfordshire
  3. 200 children filled in diaries, and from their responses…
  4. 200 children filled in diaries, and from their responses…
  5. Based on the diary responses of the children
  6. Structured activities are associated with the car, unstructured activities are associated with walking
  7. Independent t-test One tailed significance
  8. Children’s Activities Perceptions and Behaviour in the Local Environment