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Motives and costs of
         physical exercise with
           regard to health
              production:
         The DR's EXTRA Study
Virpi Kuvaja-Köllner a, Hannu Valtonen a, Pirjo Komulainen b, Maija
               Hassinen b and Rainer Rauramaa b,c

  a  Department of Health and Social Management, University of
          Eastern Finland, Kuopio Campus, Kuopio, Finland
  b Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
c) Department of Clinical Physiology and Nuclear Medicine, Kuopio
                 University Hospital, Kuopio, Finland
The content of
             presentation
•   The aim of the study
•   Theory
•   Data
•   Methods
•   Results
•   Conclusion
•   Acknowledgements
The idea and aim of the
          study
How motivation and labour market
 position (time) explain the time
 used for
   Physical exercise
  Health outcomes
        by older adults
Theory
• Grossman’s health production function
• The individual’s health investment
• The individual’s own effort

• The allocation of time (working or retired)
• Opportunity cost of time (Hatziandreu et al.
  1988; Hagberg et al 2009 & 2010)
Data
• We used 2-year data (n=1292) from
  the Dose-Responses to Exercise
  Training (DR’s EXTRA) Study.
• the target population was a
  representative sample of Eastern
  Finnish men and women who were 55-
  74 years of age in 2002
Variables
• Moderate-to-heavy physical exercise
  (hours/week)
• Health-related quality of life was
  evaluated by Rand 36-item survey
  using Physical and Mental Component
  Summary (PCS, MCS) scores.
• Metabolic risk factor (MetS) score was
  defined by NCEP criteria.
What motivates people to exercise?
Methods
• Motivational factors were asked in the
  baseline in the form: Which of the
  following factors motivate (encourage)
  you to do physical exercise?
• Also freely worded answers

• Motivation; principal component
  analysis
Methods continue
• In the statistical analysis, exercise and
  health outcomes were assumed to be
  endogenous variables explained with
  a set of exogenous variables.

• The statistical modelling was done by
  panel data instrumental variable
  regressions.
Results
• The motivational factors, "joy" or “exercise is
  good for me”, increased the amount of
  exercise (p<0.001)
• Retirement increased the time spent on
  moderate-to-heavy exercise
• The instrumented variable, moderate-to-
  heavy exercise increased the PCS and MCS
  scores and decreased the MetS score
Conclusion
The opportunity cost of time,
measured with the labour market
position, either retired or working, and
motivation, such as joy, had a
significant effect on the amount of time
spent on exercise.
Enjoyment!
Connection to the health
         policy
• The employers should put more effort and
  make it possible for the age group of people
  over 55 years old to do more physical
  exercise, perhaps even during working time
• Health policy should be open minded
  towards all different kind of physical
  exercise. If people enjoy dancing, they
  should have the possibility to do that also
  elsewhere than in restaurants
Acknowledgements
* the DR’s EXTRA participants
*Financial support:
• Ministry of Education in Finland, Academy of Finland,
European Union/ EXGENESIS, City of Kuopio,
• Kuopio University Hospital,
• Finnish Diabetes Association,
• Finnish Heart Association,
• the Social Insurance Institution of Finland and
• Päivikki and Sakari Sohlberg Foundation
• Yrjö Jahnsson Foundation
* the DR’s EXTRA study group

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Nfhk2011 sven bremberg_plenary4
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Nfhk2011 anne karin andersen parallel26
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Nfhk2011 anne karin andersen parallel26
 
Nfhk2011 andrea friedl_parallel24
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Nfhk2011 andrea friedl_parallel24
 
Nfhk2011 hanne isaksen_parallel24
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Nfhk2011 hanne isaksen_parallel24
 
Nfhk2011 rune elvik_parallel23
Nfhk2011 rune elvik_parallel23Nfhk2011 rune elvik_parallel23
Nfhk2011 rune elvik_parallel23
 
Nfhk2011 stefan ackerby_parallel23
Nfhk2011 stefan ackerby_parallel23Nfhk2011 stefan ackerby_parallel23
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Nfhk2011 nana folmann hempler_parallel25
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Nfhk2011 outi karvonen_parallel5
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Nfhk2011 eeva häkkinen and anneli luoma-kuikka_parallel9
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Nfhk2011 lisbeth fagerström_parallel7
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Nfhk2011 arvid linden_parallel10
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Nfhk2011 virpi kuvaja-köllner et al_parallel27
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Nfhk2011 risto kuronen_parallel2
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Nfhk2011 virpi kuvaja-köllner_parallel20

  • 1. Motives and costs of physical exercise with regard to health production: The DR's EXTRA Study Virpi Kuvaja-Köllner a, Hannu Valtonen a, Pirjo Komulainen b, Maija Hassinen b and Rainer Rauramaa b,c a Department of Health and Social Management, University of Eastern Finland, Kuopio Campus, Kuopio, Finland b Kuopio Research Institute of Exercise Medicine, Kuopio, Finland c) Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
  • 2. The content of presentation • The aim of the study • Theory • Data • Methods • Results • Conclusion • Acknowledgements
  • 3. The idea and aim of the study How motivation and labour market position (time) explain the time used for Physical exercise Health outcomes by older adults
  • 4. Theory • Grossman’s health production function • The individual’s health investment • The individual’s own effort • The allocation of time (working or retired) • Opportunity cost of time (Hatziandreu et al. 1988; Hagberg et al 2009 & 2010)
  • 5. Data • We used 2-year data (n=1292) from the Dose-Responses to Exercise Training (DR’s EXTRA) Study. • the target population was a representative sample of Eastern Finnish men and women who were 55- 74 years of age in 2002
  • 6. Variables • Moderate-to-heavy physical exercise (hours/week) • Health-related quality of life was evaluated by Rand 36-item survey using Physical and Mental Component Summary (PCS, MCS) scores. • Metabolic risk factor (MetS) score was defined by NCEP criteria.
  • 7. What motivates people to exercise?
  • 8. Methods • Motivational factors were asked in the baseline in the form: Which of the following factors motivate (encourage) you to do physical exercise? • Also freely worded answers • Motivation; principal component analysis
  • 9. Methods continue • In the statistical analysis, exercise and health outcomes were assumed to be endogenous variables explained with a set of exogenous variables. • The statistical modelling was done by panel data instrumental variable regressions.
  • 10. Results • The motivational factors, "joy" or “exercise is good for me”, increased the amount of exercise (p<0.001) • Retirement increased the time spent on moderate-to-heavy exercise • The instrumented variable, moderate-to- heavy exercise increased the PCS and MCS scores and decreased the MetS score
  • 11. Conclusion The opportunity cost of time, measured with the labour market position, either retired or working, and motivation, such as joy, had a significant effect on the amount of time spent on exercise.
  • 13. Connection to the health policy • The employers should put more effort and make it possible for the age group of people over 55 years old to do more physical exercise, perhaps even during working time • Health policy should be open minded towards all different kind of physical exercise. If people enjoy dancing, they should have the possibility to do that also elsewhere than in restaurants
  • 14. Acknowledgements * the DR’s EXTRA participants *Financial support: • Ministry of Education in Finland, Academy of Finland, European Union/ EXGENESIS, City of Kuopio, • Kuopio University Hospital, • Finnish Diabetes Association, • Finnish Heart Association, • the Social Insurance Institution of Finland and • Päivikki and Sakari Sohlberg Foundation • Yrjö Jahnsson Foundation * the DR’s EXTRA study group