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Physical activity levels in 10- to 11-year-olds: clustering of psychosocial correlates

Published online by Cambridge University Press:  02 January 2007

Greet Cardon ,
Renaat Philippaerts ,
Johan Lefevre ,
Lynn Matton ,
Katrien Wijndaele ,
Anne-Line Balduck  and
Ilse De Bourdeaudhuij
Greet Cardon*
Affiliation:
Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000 Gent, Belgium
Renaat Philippaerts
Affiliation:
Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000 Gent, Belgium
Johan Lefevre
Affiliation:
Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000 Gent, Belgium
Lynn Matton
Affiliation:
Department of Sports and Movement Sciences, KU Leuven, Leuven, Belgium
Katrien Wijndaele
Affiliation:
Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000 Gent, Belgium
Anne-Line Balduck
Affiliation:
Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000 Gent, Belgium
Ilse De Bourdeaudhuij
Affiliation:
Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000 Gent, Belgium
*
*Corresponding author: Email [email protected]
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Abstract

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Objectives

To evaluate gender differences for levels of physical activity, for sedentary behaviour and for psychosocial correlates in children, to evaluate whether psychosocial correlates cluster in meaningful ways and to examine whether physical activity and sedentary behaviour differ between children of clusters, differentiated by the level of perceived barriers and benefits, attitudes, social support and self-efficacy.

Design

Cross-sectional study using the Flemish Physical Activity Questionnaire.

Setting

Questionnaires to be filled out by the children and one of their parents, contacted through the school system.

Subjects

A sample of 1124 10- to 11-year-olds (579 boys and 545 girls).

Results

Girls were found to be less active than boys, with boys scoring better for social support, perceived benefits and self-efficacy compared with girls. The way of clustering differed between boys and girls. Boys were allocated to three clusters: one cluster with positive correlates towards physical activity, labelled ‘positives’; one with negative correlates, labelled ‘negatives’; and one characterised mainly by high perceived barriers, labelled ‘hindered’;. In both genders the highest levels of physical activity were found in the ‘positives’;, the lowest in the ‘negatives’;. In girls a fourth cluster was identified, characterised mainly by low perceived barriers and low social support. Physical activity levels in the girls of this cluster, labelled ‘indifferents’;, were the second highest.

Conclusions

More research is needed to further characterise these clusters. To prevent the physical activity decline during the transition from childhood to adulthood, novel interventions need to be explored that focus on children of the clusters with the most negative correlates.

Keywords

Physical activityChildrenCorrelatesClustering
Type
Research Article
Information
Public Health Nutrition , Volume 8 , Issue 7 , October 2005 , pp. 896 - 903
Copyright
Copyright © The Authors 2005

References

1Bouchard, C, Shepard, R, Stephens, T. Physical Activity, Fitness, and Health: International Proceedings and Consensus Statement. Champaign IL: Human Kinetics, 1994.CrossRefGoogle Scholar
2Biddle, S, Gorely, T, Stensel, D. Health-enhancing physical activity and sedentary behaviour in children and adolescents. Journal of Sports Sciences 2004; 22: 679–701.Google Scholar
3Caspersen, 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; 73.Google Scholar
4Steptoe, 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.Google Scholar
5Myers, L, Coughlin, SS, Webber, LS, Srinivasan, SR, Berenson, GS. Physical and sedentary activity in school children grades 5–8: The Bogalusa Heart Study. Medicine and Science in Sports and Exercise 1996; 28: 852–9.Google Scholar
6Rowland, TW. Adolescence: a ‘risk factor’ for physical inactivity. President's Council on Physical Fitness and Sports Research Digest 1999; 3: 1–8.Google Scholar
7Trost, SG, Pate, RR, Sallis, JF, Freedson, PS, Taylor, WC, Dowda, M, et al. Age and gender differences in objectively measured physical activity in youth. Medicine and Science in Sports and Exercise 2002; 34: 350–5.Google Scholar
8Lefevre, J, Philippaerts, R, Delvaux, K, Thomis, M, Vanreusel, B, Vanden Eynde, B, et al. Daily physical activity and physical fitness from adolescence to adulthood: a longitudinal study. American Journal of Human Biology 2000; 12: 487–97.3.0.CO;2-W>CrossRefGoogle ScholarPubMed
9Malina, R. Tracking of physical activity and physical fitness across the lifespan. Research Quarterly for Exercise and Sport 1996; 67: 48–57.Google Scholar
10National Association of Physical Education and Sports. Guidelines for Appropriate Physical Activity for Elementary School Children: Update 2003. Reston, VA: National Association of Physical Education and Sports, 2003.Google Scholar
11Lobstein, T, Frelut, ML. Prevalence of overweight among children in Europe. Obesity Reviews 2003; 4: 195–200.Google Scholar
12Jolliffe, D. Extent of overweight among US children and adolescents from 1971 to 2000. International Journal of Obesity and Related Metabolic Disorders 2004; 28: 4–9.CrossRefGoogle ScholarPubMed
13Baranowski, T, Anderson, C, Carmack, C. Mediating variable framework in physical activity interventions: how are we doing? How might we be doing better?. American Journal of Preventive Medicine 1998; 15: 266–97.CrossRefGoogle Scholar
14Sallis, J, Prochaska, J, Taylor, W. A review of correlates of physical activity of children and adolescents. Medicine and Science in Sports and Exercise 2000; 32: 963–75.Google Scholar
15Sallis, JF, Saelens, BE. Assessment of physical activity by self-report: status, limitations, and future directions. Research Quarterly for Exercise and Sport 2000; 71: 1–14.Google Scholar
16Marshall, S, Biddle, S, Sallis, J, McKenzie, T, Conway, T. Clustering of sedentary behaviors and physical activity among youth: a cross-national study. Pediatric Exercise Science 2002; 14: 401–17.Google Scholar
17Seefeldt, V, Malina, RM, Clark, MA. Factors affecting levels of physical activity in adults. Sports Medicine 2002; 32: 143–68.CrossRefGoogle ScholarPubMed
18Duncan, TE, McAuley, E. Social support and efficacy cognitions in exercise adherence: a latent growth curve analysis. Journal of Behavioral Medicine 1993; 16: 199–218.Google Scholar
19Verstraete, SJM, Cardon, GM, Trost, SG, De Bourdeaudhuij, IMM. Comparison of the reliability and validity of a questionnaire to measure usual physical activity in children with and without the cooperation of a parent. Medicine and Science in Sports and Exercise 2003; 5: S337.Google Scholar
20Deforche, B, De Bourdeaudhuij, I, Tanghe, A, Hills, AP, De Bode, P. Changes in physical activity and psychosocial determinants of physical activity in children and adolescents treated for obesity. Patient Education and Counseling 2004; 55: 407–15.Google Scholar
21US Department of Health and Human Services (DHHS). Physical Activity and Health: A Report of the Surgeon General. Atlanta GA: US DHHS, Centers for Disease Control and Prevention, 1996; 234–5.Google Scholar
22Trost, SG, Pate, RR, Ward, DS, Saunders, R, Riner, W. Correlates of objectively measured physical activity in preadolescent youth. American Journal of Preventive Medicine 1999; 17: 120–6.Google Scholar
23Cardon, G, De Bourdeaudhuij, I. Physical education and physical activity in elementary schools in Flanders. European Journal of Physical Education 2002; 7: 5–18.Google Scholar
24De Bourdeaudhuij, I, Sallis, J, Vandelanotte, C. Tracking and explanation of physical activity over a 7-year period. Research Quarterly for Exercise and Sport 2002; 73: 376–85.Google Scholar