Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T19:02:57.932Z Has data issue: false hasContentIssue false

Environmental and psychosocial correlates of physical activity in Portuguese and Belgian adults

Published online by Cambridge University Press:  02 January 2007

Ilse De Bourdeaudhuij*
Affiliation:
Department of Movement and Sport Sciences, Watersportlaan 2, B-9000 Ghent, Belgium
Pedro J Teixeira
Affiliation:
Excercise and Health Department, Technical University of Lisbon, Lisbon, Portugal
Greet Cardon
Affiliation:
Department of Movement and Sport Sciences, Watersportlaan 2, B-9000 Ghent, Belgium
Benedicte Deforche
Affiliation:
Department of Movement and Sport Sciences, Watersportlaan 2, B-9000 Ghent, Belgium
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objectives

To investigate differences in reported physical activity levels and in perceived environmental and psychosocial correlates of activity between Portuguese and Belgian adults; and to analyse the relative contribution of environmental and psychosocial variables in explaining physical activity within different contexts in Portugal and Belgium.

Design

Cross-sectional study.

Setting

One city in Portugal (Oeiras) and one in Belgium (Ghent).

Subjects

In total 526 participants, 247 from Portugal and 279 from Belgium, completed the long International Physical Activity Questionnaire and a validated questionnaire on environmental and psychosocial correlates.

Results

For the sum of all activities of at least moderate intensity, a significantly higher mean level of activity was found in Belgian adults (P < 0.001). However, comparable percentages of the Belgian (38%) and Portuguese (42%) samples did not meet the recommendation of 30 min per day. The variance explained by environmental factors was lower (1% to 8%) than by psychosocial factors (maximum 42%). Regression analyses showed activity-specific relations with environmental variables which were analogous in both countries. Walking/cycling for transportation and walking for recreation were related to social support from family and/or friends and to walkability and walking facilities in the neighbourhood. Recreational physical activity was mainly determined by social support, self-efficacy, and perceived benefits and barriers.

Conclusions

Activity campaigns addressing psychosocial determinants are needed to encourage leisure-time activity, while a combination of neighbourhood design changes and encouragement of social support in walking is warranted to increase walking in different contexts.

Type
Research Article
Copyright
Copyright © The Authors 2005

References

1World Health Organization (WHO). Global Strategy on Diet, Physical Activity, and Health. Geneva: WHO, 2004.Google Scholar
2Council of Europe. Recommendation NO R(95) 17 of the Committee of Ministers to the Member States on the Significance of Sport for Society. Strasbourg: Council of Europe CDDS (95), 1995; 58: 810.Google Scholar
3National Institutes of Health. Consensus Development Panel on Physical Activity and Cardiovascular Health. Journal of the American Medical Association 1996; 276: 241–6.CrossRefGoogle Scholar
4Bouchard, C, Shephard, R, Stephens, T. Physical Activity, Fitness, and Health: International Proceedings and Consensus Statement. Champaign, IL: Human Kinetics, 1994.CrossRefGoogle Scholar
5Hardman, A, Stensel, D. Physical Activity and Health, The Evidence Explained. London and New York: Routledge and Taylor & Francis Group, 2003.Google Scholar
6Caspersen, CJ, Merritt, RK, Stephens, T. International physical activity patterns: a methodological perspective. In: Dishman, R, ed. Advances in Exercise Adherence. Champaign, IL: Human Kinetics, 1994; 73110.Google Scholar
7Steptoe, A, Wardle, J, Fuller, R, Holte, A, Justo, J, Sanderman, R, et al. Leisure-time physical exercise: prevalence, attitudinal correlates, and behavioral correlates among young Europeans from 21 countries. Preventive Medicine 1997; 26: 845–54.CrossRefGoogle ScholarPubMed
8Baranowski, T, Anderson, C, Carmack, C. Mediating variable framework in physical activity interventions. How are we doing? How might we do better? American Journal of Preventive Medicine 1998; 15: 266–97.CrossRefGoogle ScholarPubMed
9Trost, SG, Owen, N, Bauman, AE, Sallis, JF, Brown, W. Correlates of adults' participation in physical activity: review and update. Medicine and Science in Sports and Exercise 2002; 34: 19962001.CrossRefGoogle Scholar
10Humpel, N, Owen, N, Leslie, E. Environmental factors associated with adults' participation in physical activity: a review. American Journal of Preventive Medicine 2002; 22: 188–99.CrossRefGoogle ScholarPubMed
11Saelens, BE, Sallis, JF, Frank, LD. Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Annals of Behavioral Medicine 2003; 25: 8091.CrossRefGoogle ScholarPubMed
12Owen, N, Humpel, N, Leslie, E, Bauman, A, Sallis, J. Understanding environmental influences on walking: review and research agenda. American Journal of Preventive Medicine 2004; 27: 6776.CrossRefGoogle ScholarPubMed
13Sallis, J, Owen, N. Ecological models of health behavior. In: Glanz, K, Lewis, FM, Rimer, BK, eds. Health Behavior and Health Education: Theory, Research, and Practice, 3rd ed. San Francisco, CA: Jossey-Bass, 2002; 462–84.Google Scholar
14Gilles-Corti, B, Donovan, R. The relative influence of individual, social and physical environment determinants of physical activity. Social Science & Medicine 2002; 54: 1793–812.CrossRefGoogle Scholar
15Sallis, J, Johnson, M, Calfas, K, Caparosa, S, Nichols, J. Assessing perceived physical environmental variables that may influence physical activity. Research Quarterly for Exercise and Sport 1997; 68: 345–51.CrossRefGoogle ScholarPubMed
16De Bourdeaudhuij, I, Sallis, J, Saelens, B. Environmental correlates of physical activity in a sample of Belgian adults. American Journal of Health Promotion 2003; 18: 8392.CrossRefGoogle Scholar
17Stead, D. Relationships between land use, socioeconomic factors, and travel patterns in Britain. Environmental Planning B 2001; 28: 499528.CrossRefGoogle Scholar
18De Bourdeaudhuij, I, Sallis, J. Relative contribution of psychological determinants to the prediction of physical activity in three population based samples. Preventive Medicine 2002; 34: 279–88.CrossRefGoogle Scholar
19European Commission. Pan-European Survey on Consumer Attitudes to Physical Activity, Body-weight and Health. Luxembourg: Office for Official Publications of the European Commission, 1999.Google Scholar
20Angel Martínez-González, AM, Javier Varo, J, Luis Santos, J, De Irala, J, Gibney, M, Kearney, J, et al. Prevalence of physical activity during leisure time in the European Union. Medicine and Science in Sports and Exercise 2001; 33: 1142–6.CrossRefGoogle Scholar
21European Commission. Eurobarometer Physical Activity. Special Eurobarometer 183-6, Wave 58.2, European Opinion Research Group EEIG, Directorate General Health and Consumer Protection and Directorate General Press and Communication, 2003; 149.Google Scholar
22Saelens, BE, Sallis, JF, Black, JB, Chen, D. Neighborhood-based differences in physical activity: an environment scale evaluation. American Journal of Public Health 2003; 93: 1552–8.CrossRefGoogle ScholarPubMed
23De Bourdeaudhuij, I, Van Oost, P, Mommerency, G. Psychological Determinants of Leisure Time Physical Activity in Adolescents and Adults. Research Report, Ghent: Ghent University, 1994.Google Scholar
24Vandelanotte, C, De Bourdeaudhuij, I, Sallis, JF, Philippaerts, R, Sjostrom, M. Reliability and validity of a computerised and Dutch version of the International Physical Activity Questionnaire (IPAQ). Journal of Physical Activity and Health 2005; 2: 6375.CrossRefGoogle Scholar
25Craig, CL, Marshall, AL, Sjostrom, M, Bauman, AE, Booth, ML, Ainsworth, BE. International physical activity questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise 2003; 35: 1381–95.CrossRefGoogle ScholarPubMed
26De Bourdeaudhuij, I, Van Oost, P. A cluster-analytic approach toward physical activity and other health related behaviors. Medicine and Science in Sports and Exercise 1999; 31: 605–12.CrossRefGoogle Scholar
27De Backer, G, Kornitzer, M, Sobolski, J, Dramaix, M, Degré, S, de Marneffe, M, et al. Physical activity and physical fitness levels of Belgian males aged 40–55 years. Cardiology 1981; 67 :110–28.CrossRefGoogle ScholarPubMed
28Folsom, AR, Cook, TC, Sprafka, JM, Burke, GL, Norsted, SW, Jacobs, DR. Differences in leisure-time physical activity levels between blacks and whites in population-based samples: the Minnesota Heart Survey. Journal of Behavioral Medicine 1991; 14: 19.CrossRefGoogle ScholarPubMed
29Jakicic, JM, Wing, RR, Butler, BA, Jeffery, RW. The relationship between presence of exercise equipment in the home and physical activity level. American Journal of Health Promotion 1997; 11: 363–5.CrossRefGoogle ScholarPubMed
30Brownson, RC, Baker, EA, Housemann, RA, Brennan, LK, Bacak, SJ. Environmental and policy determinants of physical activity in the United States. American Journal of Public Health 2001; 91: 19952003.CrossRefGoogle ScholarPubMed
31Deci, EL, Ryan, RM. Intrinsic Motivation and Self-determination in Human Behaviour. New York: Plenum Press, 1985.CrossRefGoogle Scholar
32Kimiecik, JC, Harris, AT. What is enjoyment? A conceptual/definitional analysis with implications for sport and exercise psychology. Journal of Sport and Exercise Psychology 1996; 18: 247–63.CrossRefGoogle Scholar
33Ingledew, D, Markland, D, Medley, A. Exercise motives and stages of change. Journal of Health Psychology 1998; 3: 477–89.CrossRefGoogle ScholarPubMed
34Ryan, RM, Frederick, CM, Lepes, D, Rubio, N, Sheldon, KM. Intrinsic motivation and exercise adherence. International Journal of Sport Psychology 1997; 28: 335–54.Google Scholar
35Coogan, PF, Coogan, MA. When worlds collide: observations on the integration of epidemiology and transportation behavioral analysis in the study of walking. American Journal of Health Promotion 2004; 19: 3944.CrossRefGoogle ScholarPubMed