Literature DB >> 22717373

Can differences in physical activity by socio-economic status in European adolescents be explained by differences in psychosocial correlates? A mediation analysis within the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study.

Katrien De Cocker1, Enrique G Artero, Stefaan De Henauw, Sabine Dietrich, Frédéric Gottrand, Laurent Béghin, Maria Hagströmer, Michael Sjöström, Maria Plada, Yannis Manios, Beatrice Mauro, Dénes Molnár, Luis A Moreno, Charlene Ottevaere, Jara Valtueña, Lea Maes, Ilse De Bourdeaudhuij.   

Abstract

OBJECTIVE: Socio-economic status (SES) has been positively associated with physical activity (PA) levels in adolescents. In order to tackle these social inequalities, information is needed about the underlying mechanisms of this association. The present study aimed to investigate the potential mediating role of psychosocial correlates of PA on the relationship between SES and PA in European adolescents.
DESIGN: Cross-sectional study testing the mediating role of psychosocial correlates in the SES-PA association using the product-of-coefficients test of MacKinnon.
SETTING: Ten European cities in nine different countries, the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study.
SUBJECTS: Adolescents (n 2780) aged 12·5-17·49 years self-reported on PA (moderate-to-vigorous intensity PA and total PA), SES indicators (education of the mother and Family Affluence Scale) and psychosocial correlates of PA (stage of change, attitudes, awareness, modelling, social support, self-efficacy, benefits, barriers and environmental correlates).
RESULTS: SES (Family Affluence Scale) was significantly associated with moderate-to-vigorous intensity PA. According to single-mediator models, this association was significantly mediated by stage of change (t = 3·6, P ≤ 0·001), awareness (t = 2·7, 0·001 < P ≤ 0·01), modelling (t = 4·8, P ≤ 0·001), self-efficacy (t = 2·5, 0·01<P ≤ 0·05), barriers (t = 2·7, 0·001 < P ≤ 0·01) and environmental (t = 3·0, 0·001 < P ≤ 0·01) correlates of PA. The multiple-mediators model showed that the mediating role of the combination of these psychosocial correlates was also significant (t = 6·2, P ≤ 0·001).
CONCLUSIONS: Adolescents with low family wealth scored lower on stage of change, awareness, modelling, self-efficacy and environmental correlates of PA, and higher on PA barriers, which in turn resulted in lower levels of moderate-to-vigorous PA. Future interventions should target these individual and environmental constructs in order to tackle and intervene on social inequalities in PA among adolescents.

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Year:  2012        PMID: 22717373     DOI: 10.1017/S1368980012001036

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  5 in total

1.  Depressive symptoms are associated with excess weight and unhealthier lifestyle behaviors in urban adolescents.

Authors:  Fiorella Castillo; Lori Francis; Judith Wylie-Rosett; Carmen R Isasi
Journal:  Child Obes       Date:  2014-09-02       Impact factor: 2.992

2.  Reliability, validity and internal consistency of social support and self-efficacy scales for physical activity in adolescents with 10 to 14 years of age.

Authors:  Gerfeson Mendonça; Alcides Prazeres Filho; Inácio Crochemore-Silva; José Cazuza de Farias Júnior
Journal:  Rev Paul Pediatr       Date:  2021-09-01

3.  Clinical and psychosocial stress factors are associated with decline in physical activity over time in children with juvenile idiopathic arthritis.

Authors:  Liane D Heale; Kristin M Houghton; Elham Rezaei; Adam D G Baxter-Jones; Susan M Tupper; Nazeem Muhajarine; Susanne M Benseler; Gilles Boire; David A Cabral; Sarah Campillo; Gaëlle Chédeville; Anne-Laure Chetaille; Paul Dancey; Ciaran Duffy; Karen Watanabe Duffy; Janet Ellsworth; Jaime Guzman; Adam M Huber; Roman Jurencak; Bianca Lang; Ronald M Laxer; Kimberly Morishita; Kiem G Oen; Ross E Petty; Suzanne E Ramsey; Johannes Roth; Rayfel Schneider; Rosie Scuccimarri; Lynn Spiegel; Elizabeth Stringer; Shirley M L Tse; Lori B Tucker; Stuart E Turvey; Rae S M Yeung; Alan M Rosenberg
Journal:  Pediatr Rheumatol Online J       Date:  2021-06-29       Impact factor: 3.054

4.  Is the association between sociodemographic variables and physical activity levels in adolescents mediated by social support and self-efficacy?

Authors:  Luanna A Cheng; Gerfeson Mendonça; Joana M S Lucena; Cassiano R Rech; José C Farias
Journal:  J Pediatr (Rio J)       Date:  2018-09-17       Impact factor: 2.990

5.  Is the intention-behaviour gap greater amongst the more deprived? A meta-analysis of five studies on physical activity, diet, and medication adherence in smoking cessation.

Authors:  Milica Vasiljevic; Yin-Lam Ng; Simon J Griffin; Stephen Sutton; Theresa M Marteau
Journal:  Br J Health Psychol       Date:  2015-08-12
  5 in total

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