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Epidemiological study of physical fitness
         and physical activity in Flanders


                                  Renaat Philippaerts1,
                     William Duquet (†)2, Johan Lefevre3

1Department  of Movement and Sports Sciences,
 Ghent University
2Faculty of Physical Education and Physiotherapy, VUBrussel

3Department of Biomedical Kinesiology, KULeuven
Welcome in Gent

3th most historical city in the world
  (National Geographic, 2008)
1.Wachau (Austria)
2.Ontario (Canada)
3.Gent (Belgium)
1.      Policy Research Centre in Flanders
 2.      Frame of reference
 3.      Computerised questionnaires
 4.      Results
 5.      Time & Money: some facts


Renaat Philippaerts
Department of Movement and Sports Sciences
1. Policy Research Centers


12 Policy Research Centers
- according to the policy domains:
   - Sport, physical activity and health,
   - Culture,
   - Tourism and leisure
   - Transportation,
   - Gender and equality,
   - Education, ...
- provide evidence-based knowledge to
  policy makers, ministers, …
1. Policy Research Centers



- Periods of 5 years:
   - 2001-2006, 2007-2011, …
- Consortium between universities,
  colleges, administrations and
  scientific institutions
- Budget over 5 years for each center
   - 4.000.000 – 5.000.000 €
Policy Research Center for Sport, Physical Activity and Health
                           (SPAH)


             supported by the Flemish Government
                 (2001-2006: 4.214.200 euro)
1. Policy Research Centers




Theme I: Current status of physical activity, fitness
  and health in Flanders
Theme II: Associations between physical activity,
  fitness and health
Theme III: Development of intervention strategies for
  specific target groups (school, obese, internet
  use, elderly, …)
Theme IV: prevalence of injuries due to physical
  activity and sports
2. Frame of reference




Consensus model of Bouchard & Shephard, 1994
2. Frame of reference


 Theme I: Current status of physical activity, fitness and
                      health in Flanders




“Correct assessment of physical activity (PA)
   behavior and energy expenditure (EE)
   related to physical activity is essential to
   study the effects of physical activity on
   fitness and potential health benefits”
3. Computerised questionnaire



How to quantify physical activity?
Physical activity is a complex concept,
determined by different indicators:
       – Frequency
       – Duration
       – Intensity
    → different methods
3. Computerised questionnaire



 Activity energy expediture

   ‣ Different activities contribute to AEE
        ‧ PA during occupation
        ‧ PA during leisure time – sport activities
        ‧ Home and household activities
        ‧ Transportation
        ‧ Personal care


Renaat Philippaerts
Department of Movement and Sports Sciences
3. Computerised questionnaire



Criterion methods
Objective methods
- Heart rate monitoring (HRM)
- Activity monitors (pedometers and
  accelerometers) (AM)
- Combination of HRM and AM
3. Computerised questionnaire



Criterion methods
Objective methods
Subjective methods
- Survey techniques (questionnaires)
  - Self-reported
       - Paper and pencil
       - Electronic surveys
  - Interviewer-assisted
3. Computerised questionnaire



Advantages paper-pencil Q:
1. The only method feasible for a large
   number of people
2. Inexpensive
3. Specific activities can be identified
   together with frequency and
   duration (intensity?)
3. Computerised questionnaire



Advantages paper-pencil Q:
4. Q does not influence the subject’s
   activities
5. Using energy tables: conversion to
   AEE/ADMR
6. Usable over a wide range of age
7. Good reliability
3. Computerised questionnaire



Limitations paper-pencil Q:
1. Recall their activities accurately?
   - overstimation
   - underestimation
2. Questions are not clear
3. Instrument is age and group specific
4. Time consuming: encoding,
   analyzing
3. Computerised questionnaire



Limitations paper-pencil Q:
5. “human errors”
6. Difficult to assess validity
3. Computerised questionnaire


Tecumseh/Minnesota
Five City/7 day recall
Baecke
Godin-Shephard
Framingham
Lipid Research Clinic
Baecke Modification
Zutphen Q
                                     ?
Yale PA Q
PASE
Amsterdam Growth Study Q
…
IPAQ
3. Computerised questionnaire



Computerised questionnaires
Computer delivered questionnaires
…

What?
Why?
3. Computerised questionnaire


Advantages:
1. administration to a large number of
   people simultaneously
2. subjects cannot omit questions (no
   missing data)
3. software can skip superfluous
   questions
4. subjects report more honestly
   undesirable behavior
3. Computerised questionnaire


Advantages:
5. avoiding all sources of coding errors
6. reducing hours of data entry: less
   expensive
7. explanation of difficult words or
   questions by film clips

…and all advantages of P-P Q
3. Computerised questionnaire



Limitations:
1. development of software (need of
   technicians)
2. development can be expensive
3. dependent on hardware, server, …
3. Computerised questionnaire


Children-adolescents
- McMurray RG et al., 1998, Med Sci Sports
  Exerc 30: 1238-1245.
- Ridley K et al., 2001, Pediat Exerc Sci 13: 35-46.
- Philippaerts RM et al., 2006, Int J Sports Med 27:
  131-136.

Adults
- Vandelanotte C et al., 2005, Journal for Physical
  Activity and Health 2 (1): 63-75.
- Matton L et al., 2007, Res Quarterly Exerc Sport 78 (4): 293-
  306.
BACKOFFICE
3. Computerised questionnaire



 The concept of the FPACQ
 -   similar to IPAQ
 -   specific sub-components
 -   indication of intensity
 -   calculation of EE by using METs
 -   one single administrator

Renaat Philippaerts
Department of Movement and Sports Sciences
3. Computerised questionnaire



 The concept of the FPACQ
 - all data are directly saved and
   encoded
 - additional variables are directly
   calculated by the software
 - immediate feedback is possible

Renaat Philippaerts
Department of Movement and Sports Sciences
3. Computerised questionnaire



 From FPACQ to IPACQ ??
 - translation to other languages
 - pilot studies: reliability and validity in
   international context

 renaat.philippaerts@UGent.be
 johan.lefevre@faber.kuleuven.be
Renaat Philippaerts
Department of Movement and Sports Sciences
4. Results



2001: Subjects (12-18 yrs)

                                         N                         %
     Girls                            3738                       61.1
     Boys                             2379                       38.9
     Total                            6117                       100
    Representative sample according to the different
    educational systems (free, state, official)

This study was supported by the Flemisch Agency for the promotion of Sport BLOSO
4. Results


2002-2004: Adults

46 communities (ad random)

28840 subjects (age 18-75) (ad random)
        22830 with known telephone number
              18453 reached
                   5170 participated
                      5170/18453 = 28%
4. Results
Boys 12-18 years
Girls 12-18 years

     Dansen                                    26,0

   Zwemmen                                     18,1

     Fitness                                   17,0

 Fietssporten                                  15,1

Paardensport                                   10,6

      Tennis                                   10,5

     Atletiek                                   9,1

      Turnen                                    7,6

    Volleybal                                   5,9

   Basketbal                                    5,5

                0      10    20      30   40      50
                             Percentage
Results: boys

         Inactivity: TV and computer games

hrs/wk   29
                                                 Age: ns
         27                                      SES: L >< H
         25                                      Age x SES: ns
         23                                        low
         21                                        middle
                                                   high
         19
         17
         15
              12   13   14   15   16   17   18   age (yr)
Results: girls

         Inactivity: TV and computer games

hrs/wk   27
                                                 Age: **
         25                                      SES: L,M >< H
                                                 Age x SES: ns
         23
                                                   low
         21
                                                   middle
         19                                        high

         17

         15
              12   13   14   15   16   17   18   age (yr)
Results: boys

         Passive transport (car, bus, train, …)

hrs/wk   6
                                                Age: **
         5                                      SES: ns
                                                Age x SES: ns
         4
                                                  low
         3
                                                  middle
         2                                        high

         1

         0
             12   13   14   15   16   17   18   age (yr)
Results: girls

         Passive transport (car, bus, train, …)

hrs/wk   6
                                                Age: **
         5                                      SES: L >< H
                                                Age x SES: ns
         4
                                                  low
         3
                                                  middle
         2                                        high

         1

         0
             12   13   14   15   16   17   18   age (yr)
Results: boys


Sport participation leisure time: no difference
Active transport: no difference
Total activity: no difference

Frequency moderate activities: no difference
Frequency heavy activities: no difference
Results: girls

             Leisure time sport participation
hrs/wk   6
                                                Age: ns
         5                                      SES: L >< M >< H
                                                Age x SES: *
         4
                                                  low
         3
                                                  middle
         2                                        high

         1

         0
             12   13   14   15   16   17   18   age (yr)
Results: girls

                       Total activity
    (sports + active transport + school sports + PE)
hrs/wk   16
                                                 Age: **
         14                                      SES: L >< M >< H
                                                 Age x SES: ns
         12
                                                   low
                                                   middle
         10
                                                   high

          8

          6
              12   13   14   15   16   17   18   age (yr)
Results: girls

               Frequency moderate activities

days/wk   3
                                                 Age: **
                                                 SES: L,M >< H
                                                 Age x SES: **
          2
                                                   low
                                                   middle
          1                                        high



          0
              12   13   14   15   16   17   18   age (yr)
Results: girls

                Frequency heavy activities

n/wk   3
                                               Age: **
                                               SES: L,M >< H
                                               Age x SES: *
       2
                                                 low
                                                 middle
       1                                         high



       0
           12    13   14   15   16   17   18   age (yr)
4. Results



In Flanders:

Boys are more physically active than girls

Girls are more prone to sedentary behavior

Physical activity declines with age in youth
Prevalence over Overweight
25 > BMI <30
Prevalence of Obesitas
BMI > 30
Health-related sport activity for age and gender
                              • > 1.5 h/week
%
                              • > 3.5 MET’s (intensity)
                              • according PA guidelines
Prevalence of sport inactivity
(no sport activity at all)

%
4. Results


Sedentary behaviour
Prevalence of sedentarity
PAL < 1.55 (kcal/kg/h or MET)

%
Prevalence of Hypertension
SP > 140 mmHg or DP > 90 mmHg

%
Profiel M ANNEN 45-49 jaar
                         P10        P25          P50         P75     P90

                        170.0       172.0       176.0        180.0   186.0
G estalte
(cm )
                         70.0       73.0         80.0        89.0    109.0
G ew icht
(kg)
                         22.2       23.9         25.5        28.5    31.6
BM I
(kg/m 2)
                         15.2       19.1         23.0        26.6    30.5
Vetpercentage
(% )
                         8.0        14.0         21.0        27.0    32.0
Lenigheid
Zittend reiken (cm )
                         35.0       42.0         49.0        56.0    62.0
Statische kracht
Handknijpkracht (kg)
                        521.0       557.5       612.4        685.5   703.8
W andeltest (m )

                        116.0       120.7       130.0        140.0   150.0
Systolische bloeddruk
(m m Hg)
                         73.3       78.7         82.0        90.0    95.3
Diastolische bloeddruk
(m m Hg)
                         3.9         4.3         4.9          5.4     6.0
Longinhoud
(l)
                        164.0       186.0       209.0        236.0   265.0
Totaal cholesterol
(m g/100m l)
                         0.0         0.0         0.0          3.0     8.0
Uren sport
(u/w eek)
                         4.5         9.0         16.0        21.0    28.0
Kijkindex
(u/w eek)
Recommendations to the policy



%
5. Time & Money: some facts




Budget epidemiological study
 2.000.000 € (2001-2006)
Subjects
•   PA: 6117 boys and girls: in a 3-month period
•   PA & PF & Health test battery: 5170 men and women: during ca. 50
    weeks (about 100 subjects per week)
5. Time & Money: some facts




Staff:
•   3 promotors
•   1 director (on pay roll)
•   1 administrator (on pay roll)
•   1 test manager (on pay roll)
•   3 PhD students (on pay roll)
•   Call center (1 year: 12 students) (on pay roll)
•   4 physicians (free lance),
•   2 nurses (free lance)
•   8 part-time administrators and test leaders (on pay roll)
•   ca. 25 master students
Thank you !

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Epidemiological study of physical fitness and physical activity in Flanders

  • 1. Epidemiological study of physical fitness and physical activity in Flanders Renaat Philippaerts1, William Duquet (†)2, Johan Lefevre3 1Department of Movement and Sports Sciences, Ghent University 2Faculty of Physical Education and Physiotherapy, VUBrussel 3Department of Biomedical Kinesiology, KULeuven
  • 2. Welcome in Gent 3th most historical city in the world (National Geographic, 2008) 1.Wachau (Austria) 2.Ontario (Canada) 3.Gent (Belgium)
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  • 6. 1. Policy Research Centre in Flanders 2. Frame of reference 3. Computerised questionnaires 4. Results 5. Time & Money: some facts Renaat Philippaerts Department of Movement and Sports Sciences
  • 7. 1. Policy Research Centers 12 Policy Research Centers - according to the policy domains: - Sport, physical activity and health, - Culture, - Tourism and leisure - Transportation, - Gender and equality, - Education, ... - provide evidence-based knowledge to policy makers, ministers, …
  • 8. 1. Policy Research Centers - Periods of 5 years: - 2001-2006, 2007-2011, … - Consortium between universities, colleges, administrations and scientific institutions - Budget over 5 years for each center - 4.000.000 – 5.000.000 €
  • 9. Policy Research Center for Sport, Physical Activity and Health (SPAH) supported by the Flemish Government (2001-2006: 4.214.200 euro)
  • 10. 1. Policy Research Centers Theme I: Current status of physical activity, fitness and health in Flanders Theme II: Associations between physical activity, fitness and health Theme III: Development of intervention strategies for specific target groups (school, obese, internet use, elderly, …) Theme IV: prevalence of injuries due to physical activity and sports
  • 11. 2. Frame of reference Consensus model of Bouchard & Shephard, 1994
  • 12. 2. Frame of reference Theme I: Current status of physical activity, fitness and health in Flanders “Correct assessment of physical activity (PA) behavior and energy expenditure (EE) related to physical activity is essential to study the effects of physical activity on fitness and potential health benefits”
  • 13. 3. Computerised questionnaire How to quantify physical activity? Physical activity is a complex concept, determined by different indicators: – Frequency – Duration – Intensity → different methods
  • 14. 3. Computerised questionnaire Activity energy expediture ‣ Different activities contribute to AEE ‧ PA during occupation ‧ PA during leisure time – sport activities ‧ Home and household activities ‧ Transportation ‧ Personal care Renaat Philippaerts Department of Movement and Sports Sciences
  • 15. 3. Computerised questionnaire Criterion methods Objective methods - Heart rate monitoring (HRM) - Activity monitors (pedometers and accelerometers) (AM) - Combination of HRM and AM
  • 16. 3. Computerised questionnaire Criterion methods Objective methods Subjective methods - Survey techniques (questionnaires) - Self-reported - Paper and pencil - Electronic surveys - Interviewer-assisted
  • 17. 3. Computerised questionnaire Advantages paper-pencil Q: 1. The only method feasible for a large number of people 2. Inexpensive 3. Specific activities can be identified together with frequency and duration (intensity?)
  • 18. 3. Computerised questionnaire Advantages paper-pencil Q: 4. Q does not influence the subject’s activities 5. Using energy tables: conversion to AEE/ADMR 6. Usable over a wide range of age 7. Good reliability
  • 19. 3. Computerised questionnaire Limitations paper-pencil Q: 1. Recall their activities accurately? - overstimation - underestimation 2. Questions are not clear 3. Instrument is age and group specific 4. Time consuming: encoding, analyzing
  • 20. 3. Computerised questionnaire Limitations paper-pencil Q: 5. “human errors” 6. Difficult to assess validity
  • 21. 3. Computerised questionnaire Tecumseh/Minnesota Five City/7 day recall Baecke Godin-Shephard Framingham Lipid Research Clinic Baecke Modification Zutphen Q ? Yale PA Q PASE Amsterdam Growth Study Q … IPAQ
  • 22. 3. Computerised questionnaire Computerised questionnaires Computer delivered questionnaires … What? Why?
  • 23. 3. Computerised questionnaire Advantages: 1. administration to a large number of people simultaneously 2. subjects cannot omit questions (no missing data) 3. software can skip superfluous questions 4. subjects report more honestly undesirable behavior
  • 24. 3. Computerised questionnaire Advantages: 5. avoiding all sources of coding errors 6. reducing hours of data entry: less expensive 7. explanation of difficult words or questions by film clips …and all advantages of P-P Q
  • 25. 3. Computerised questionnaire Limitations: 1. development of software (need of technicians) 2. development can be expensive 3. dependent on hardware, server, …
  • 26. 3. Computerised questionnaire Children-adolescents - McMurray RG et al., 1998, Med Sci Sports Exerc 30: 1238-1245. - Ridley K et al., 2001, Pediat Exerc Sci 13: 35-46. - Philippaerts RM et al., 2006, Int J Sports Med 27: 131-136. Adults - Vandelanotte C et al., 2005, Journal for Physical Activity and Health 2 (1): 63-75. - Matton L et al., 2007, Res Quarterly Exerc Sport 78 (4): 293- 306.
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  • 33. 3. Computerised questionnaire The concept of the FPACQ - similar to IPAQ - specific sub-components - indication of intensity - calculation of EE by using METs - one single administrator Renaat Philippaerts Department of Movement and Sports Sciences
  • 34. 3. Computerised questionnaire The concept of the FPACQ - all data are directly saved and encoded - additional variables are directly calculated by the software - immediate feedback is possible Renaat Philippaerts Department of Movement and Sports Sciences
  • 35. 3. Computerised questionnaire From FPACQ to IPACQ ?? - translation to other languages - pilot studies: reliability and validity in international context renaat.philippaerts@UGent.be johan.lefevre@faber.kuleuven.be Renaat Philippaerts Department of Movement and Sports Sciences
  • 36. 4. Results 2001: Subjects (12-18 yrs) N % Girls 3738 61.1 Boys 2379 38.9 Total 6117 100 Representative sample according to the different educational systems (free, state, official) This study was supported by the Flemisch Agency for the promotion of Sport BLOSO
  • 37. 4. Results 2002-2004: Adults 46 communities (ad random) 28840 subjects (age 18-75) (ad random) 22830 with known telephone number 18453 reached 5170 participated 5170/18453 = 28%
  • 40. Girls 12-18 years Dansen 26,0 Zwemmen 18,1 Fitness 17,0 Fietssporten 15,1 Paardensport 10,6 Tennis 10,5 Atletiek 9,1 Turnen 7,6 Volleybal 5,9 Basketbal 5,5 0 10 20 30 40 50 Percentage
  • 41. Results: boys Inactivity: TV and computer games hrs/wk 29 Age: ns 27 SES: L >< H 25 Age x SES: ns 23 low 21 middle high 19 17 15 12 13 14 15 16 17 18 age (yr)
  • 42. Results: girls Inactivity: TV and computer games hrs/wk 27 Age: ** 25 SES: L,M >< H Age x SES: ns 23 low 21 middle 19 high 17 15 12 13 14 15 16 17 18 age (yr)
  • 43. Results: boys Passive transport (car, bus, train, …) hrs/wk 6 Age: ** 5 SES: ns Age x SES: ns 4 low 3 middle 2 high 1 0 12 13 14 15 16 17 18 age (yr)
  • 44. Results: girls Passive transport (car, bus, train, …) hrs/wk 6 Age: ** 5 SES: L >< H Age x SES: ns 4 low 3 middle 2 high 1 0 12 13 14 15 16 17 18 age (yr)
  • 45. Results: boys Sport participation leisure time: no difference Active transport: no difference Total activity: no difference Frequency moderate activities: no difference Frequency heavy activities: no difference
  • 46. Results: girls Leisure time sport participation hrs/wk 6 Age: ns 5 SES: L >< M >< H Age x SES: * 4 low 3 middle 2 high 1 0 12 13 14 15 16 17 18 age (yr)
  • 47. Results: girls Total activity (sports + active transport + school sports + PE) hrs/wk 16 Age: ** 14 SES: L >< M >< H Age x SES: ns 12 low middle 10 high 8 6 12 13 14 15 16 17 18 age (yr)
  • 48. Results: girls Frequency moderate activities days/wk 3 Age: ** SES: L,M >< H Age x SES: ** 2 low middle 1 high 0 12 13 14 15 16 17 18 age (yr)
  • 49. Results: girls Frequency heavy activities n/wk 3 Age: ** SES: L,M >< H Age x SES: * 2 low middle 1 high 0 12 13 14 15 16 17 18 age (yr)
  • 50. 4. Results In Flanders: Boys are more physically active than girls Girls are more prone to sedentary behavior Physical activity declines with age in youth
  • 53. Health-related sport activity for age and gender • > 1.5 h/week % • > 3.5 MET’s (intensity) • according PA guidelines
  • 54. Prevalence of sport inactivity (no sport activity at all) %
  • 56. Prevalence of sedentarity PAL < 1.55 (kcal/kg/h or MET) %
  • 57. Prevalence of Hypertension SP > 140 mmHg or DP > 90 mmHg %
  • 58. Profiel M ANNEN 45-49 jaar P10 P25 P50 P75 P90 170.0 172.0 176.0 180.0 186.0 G estalte (cm ) 70.0 73.0 80.0 89.0 109.0 G ew icht (kg) 22.2 23.9 25.5 28.5 31.6 BM I (kg/m 2) 15.2 19.1 23.0 26.6 30.5 Vetpercentage (% ) 8.0 14.0 21.0 27.0 32.0 Lenigheid Zittend reiken (cm ) 35.0 42.0 49.0 56.0 62.0 Statische kracht Handknijpkracht (kg) 521.0 557.5 612.4 685.5 703.8 W andeltest (m ) 116.0 120.7 130.0 140.0 150.0 Systolische bloeddruk (m m Hg) 73.3 78.7 82.0 90.0 95.3 Diastolische bloeddruk (m m Hg) 3.9 4.3 4.9 5.4 6.0 Longinhoud (l) 164.0 186.0 209.0 236.0 265.0 Totaal cholesterol (m g/100m l) 0.0 0.0 0.0 3.0 8.0 Uren sport (u/w eek) 4.5 9.0 16.0 21.0 28.0 Kijkindex (u/w eek)
  • 60. 5. Time & Money: some facts Budget epidemiological study 2.000.000 € (2001-2006) Subjects • PA: 6117 boys and girls: in a 3-month period • PA & PF & Health test battery: 5170 men and women: during ca. 50 weeks (about 100 subjects per week)
  • 61. 5. Time & Money: some facts Staff: • 3 promotors • 1 director (on pay roll) • 1 administrator (on pay roll) • 1 test manager (on pay roll) • 3 PhD students (on pay roll) • Call center (1 year: 12 students) (on pay roll) • 4 physicians (free lance), • 2 nurses (free lance) • 8 part-time administrators and test leaders (on pay roll) • ca. 25 master students