Relation of leisure time, occupational, domestic, and commuting physical activity to health indicators in Europe

Prev Med. 2008 Sep;47(3):319-23. doi: 10.1016/j.ypmed.2008.03.012. Epub 2008 Mar 26.

Abstract

Objectives: To investigate relationships between physical activities in different domains (leisure time, occupational, domestic, commuting) and health indicators (self-rated health, body mass index).

Methods: The short version of the International Physical Activity Questionnaire (IPAQ) and additional questions on domain specific physical activity were submitted face-to-face to 29,193 individual's age 15 years and older in the 27 member states of the Europe Union, 2 affiliated nations (Croatia, Turkey), and Cyprus North in 2005 as part of Eurobarometer 64.3.

Results: Leisure time physical activity (compared to no leisure time physical activity) was positively associated with self-rated health (males: Odds Ratio (OR)=2.85, 95% Confidence Interval (CI): 2.27, 3.58; females: OR=2.77, 95% C.I. 2.16, 3.56) and inversely with obesity (males: OR=0.65, 95% C.I. 0.50, 0.83; females: OR=0.46, 95% C.I. 0.34, 0.63). Being in the highest quartile of the total volume of physical activity expressed using metabolic equivalents (in MET-min/week) (compared to being in the lowest quartile) was not related to self-rated health (males: OR=0.99, 95% C.I. 0.81, 1.21; females: OR=1.19, 95% C.I 0.98, 1.43) or obesity (males: OR=1.25, 95% C.I., 0.99, 1.59; females: OR=1.26, 95% C.I. 1.02, 1.57). Gender-specific effects were observed for other domains of physical activity. Analysis on national levels showed pronounced relationships of leisure time physical activity to health indicators.

Conclusions: Domains of physical activity being related to health indicators, they may pertain to surveillance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Body Mass Index
  • Confidence Intervals
  • Cross-Sectional Studies
  • European Union
  • Female
  • Health Status
  • Health Status Indicators
  • Humans
  • Interviews as Topic
  • Leisure Activities*
  • Logistic Models
  • Male
  • Middle Aged
  • Motor Activity*
  • Occupational Health*
  • Odds Ratio
  • Residence Characteristics*
  • Surveys and Questionnaires
  • Time Factors
  • Walking
  • Young Adult