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THE JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
A Journal on Applied Physiology, Biomechanics, Preventive Medicine,
Sports Medicine and Traumatology, Sports Psychology
Indexed/Abstracted in: Chemical Abstracts, CINAHL, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 1,111
ORIGINAL ARTICLES PSYCHOLOGY
The Journal of Sports Medicine and Physical Fitness 2015 November;55(11):1397-406
Application of stages of change model to adolescents’ physical activity in relation to psychological variables
Abarca-Sos A. 1, Bois J. E. 2, Generelo E. 3, Julián J. A. 4, Zaragoza J. 4 ✉
1 Faculty of Social Sciences and Humanities, University of Zaragoza, Teruel, Spain;
2 Laboratoire d’Analyse de la Performance Sportive, University of Pau and Pays de l´Adour, Tarbes, France;
3 Faculty of Health Sciences and Sport, University of Zaragoza, Huesca, Spain;
4 Faculty of Human Sciences and Education, University of Zaragoza, Huesca, Spain
AIM: This study investigated the stages of change in physical activity in relation to psychological variables: self-efficacy, physical self-concept and barriers to physical activity, as well as gender. Furthermore, cluster profiles were created based on psychological variables to be compared with stages of change groups.
METHODS: Data were obtained from a representative sample of adolescents (N.=1618, 14.46±1.28 years) from Aragon region (Spain). The different strata were selected according to the geographical region, environment, type of school, age and gender.
RESULTS: Males (75.5%) and very active adolescents (96.9% participant boys and 93.5% participants girls) were more prevalent in the action and maintenance groups. We found significant differences in psychosocial variables by stages of change and gender, showing higher scores in active groups for physical self-concept (effects of gender and stages of change: F(1, 1618)=313.82 P<0.001, η²=0.230) and self-efficacy (F(1, 1618)=324.34 P<0.001, η²=0.236), and lower scores in passive groups for intrapersonal (F(1, 1618)=179.73 P<0.001, η²=0.146) and extrapersonal barriers (F(1, 1618)=189.42 P<0.001, η²=0.153). Psychological cluster profiles created with these variables showed significant relationships with stages of change groups (χ²(1)=162,76, P<0.001; Pearson R=0.359 P<0.001).
CONCLUSION: The findings of the research suggest the importance of the study, showing strong determinants of PA, physical self-concept, self-efficacy and perceived barriers, in relation to the intention to change behaviour, not only stage of change model variables. Furthermore, the study can be relevant to designing more effective health promotion programmes in the adolescent population.