Advanced

Physical activity of subjects aged 50-64 years involved in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Haftenberger, M; Schuit, AJ; Tormo, N; Boeing, H; Wareham, N; Bueno-de-Mesquita, HB; Kumle, M; Hjartaker, A; Chirlaque, MD and Ardanaz, E, et al. (2002) In Public Health Nutrition 5(6B). p.1163-1177
Abstract
Objective: To describe physical activity of participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Design: A cross-sectional analysis of baseline data of a European prospective cohort study. Subjects: This analysis was restricted to participants in the age group 50-64 years, which was represented in all EPIC centres. It involved 236 386 participants from 25 centres in nine countries. In each EPIC centre, physical activity was assessed by standardised and validated questions. Frequency distribution of type of professional activity and participation in non-professional activities, and age-adjusted means, medians and percentiles of time dedicated to non-professional activities are presented for men and women... (More)
Objective: To describe physical activity of participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Design: A cross-sectional analysis of baseline data of a European prospective cohort study. Subjects: This analysis was restricted to participants in the age group 50-64 years, which was represented in all EPIC centres. It involved 236 386 participants from 25 centres in nine countries. In each EPIC centre, physical activity was assessed by standardised and validated questions. Frequency distribution of type of professional activity and participation in non-professional activities, and age-adjusted means, medians and percentiles of time dedicated to non-professional activities are presented for men and women from each centre. Results: Professional activity was most frequently classified as sedentary or standing in all centres. There was a wide variation regarding participation in different types of non-professional activities and time dedicated to these activities across EPIC centres. Over 80% of all EPIC participants engaged in walking, while less than 50% of the subjects participated in sport. Total time dedicated to recreational activities was highest among the Dutch participants and lowest among men from Malmo (Sweden) and women from Naples (Italy). In all centres, total time dedicated to recreational activity in the summer was higher than in the winter. Women from southern Europe spent the most time on housekeeping. Conclusions: There is a considerable variation of physical activity across EPIC centres. This variation was especially evident for recreational activities in both men and women. (Less)
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
activity, recreational, activity patterns, EPIC study, physical activity, home activity Europe
in
Public Health Nutrition
volume
5
issue
6B
pages
1163 - 1177
publisher
Cambridge University Press
external identifiers
  • wos:000181402400005
  • pmid:12639225
  • scopus:0345700786
ISSN
1475-2727
DOI
10.1079/PHN2002397
language
English
LU publication?
yes
id
58365413-3300-425c-ae35-587e54e997f0 (old id 316516)
date added to LUP
2007-08-22 15:28:54
date last changed
2017-11-19 04:09:21
@article{58365413-3300-425c-ae35-587e54e997f0,
  abstract     = {Objective: To describe physical activity of participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Design: A cross-sectional analysis of baseline data of a European prospective cohort study. Subjects: This analysis was restricted to participants in the age group 50-64 years, which was represented in all EPIC centres. It involved 236 386 participants from 25 centres in nine countries. In each EPIC centre, physical activity was assessed by standardised and validated questions. Frequency distribution of type of professional activity and participation in non-professional activities, and age-adjusted means, medians and percentiles of time dedicated to non-professional activities are presented for men and women from each centre. Results: Professional activity was most frequently classified as sedentary or standing in all centres. There was a wide variation regarding participation in different types of non-professional activities and time dedicated to these activities across EPIC centres. Over 80% of all EPIC participants engaged in walking, while less than 50% of the subjects participated in sport. Total time dedicated to recreational activities was highest among the Dutch participants and lowest among men from Malmo (Sweden) and women from Naples (Italy). In all centres, total time dedicated to recreational activity in the summer was higher than in the winter. Women from southern Europe spent the most time on housekeeping. Conclusions: There is a considerable variation of physical activity across EPIC centres. This variation was especially evident for recreational activities in both men and women.},
  author       = {Haftenberger, M and Schuit, AJ and Tormo, N and Boeing, H and Wareham, N and Bueno-de-Mesquita, HB and Kumle, M and Hjartaker, A and Chirlaque, MD and Ardanaz, E and Andrén Aronsson, Carin and Lindahl, B and Peeters, PHM and Allen, NE and Overvad, K and Tjonneland, A and Clavel-Chapelon, F and Linseisen, J and Bergmann, MM and Trichopoulou, A and Lagiou, P and Salvini, S and Panico, S and Riboli, E and Ferrari, P and Slimani, N},
  issn         = {1475-2727},
  keyword      = {activity,recreational,activity patterns,EPIC study,physical activity,home activity Europe},
  language     = {eng},
  number       = {6B},
  pages        = {1163--1177},
  publisher    = {Cambridge University Press},
  series       = {Public Health Nutrition},
  title        = {Physical activity of subjects aged 50-64 years involved in the European Prospective Investigation into Cancer and Nutrition (EPIC)},
  url          = {http://dx.doi.org/10.1079/PHN2002397},
  volume       = {5},
  year         = {2002},
}