Factors That Influence Physical Activity Participation Among High- and Low-SES Youth

Humbert, M. Louise; Chad, Karen E.; Spink, Kevin S.; Muhajarine, Nazeem; Anderson, Kristal D.; Bruner, Mark W.; Girolami, Tammy M.; Odnokon, Patrick; Gryba, Catherine R.

doi:10.1177/1049732305286051

Cited by 233 publications

(218 citation statements)

References 27 publications

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“…As a percentage of total park users more young people were observed in Eastern than Southville moreover, those observed were marginally more moderately active and fewer sedentary. Results may indicate greater reliance on low cost recreation facilities in deprived areas which is in line with Canadian findings (Pabayo et al, 2011;Castonguay and Jutras, 2009;Humbert et al, 2006). Furthermore, there were more 11-15 than 16-20 year old park users which may indicate preference for low cost socialisation and recreational activities in younger adolescents however, without leisure activity data from young people postulations remain supposition.…”

Section: Urban Park Facilitation Of Park Use and Physical Activitysupporting

confidence: 77%

Exploring urban parks and their peripheral food environments using a case study approach: Young people and obesogenic environments

2014

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. (2014) 'Exploring urban parks and their peripheral food environments using a case study approach : young people and obesogenic environments.', URBAN DESIGN international., Further information on publisher's website:https://doi.org/10. 1057/udi.2013.35 Publisher's copyright statement:The nal publication is available at Springer via https://doi.org/10. 1057/udi.2013.35 Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Inequity in obesogenic determinants are consistent with deprivation amplification and are incompatible with UK political strategy for health equity.

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Section: Urban Park Facilitation Of Park Use and Physical Activitysupporting

confidence: 77%

Exploring urban parks and their peripheral food environments using a case study approach: Young people and obesogenic environments

2014

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“…However, in the focus groups of Humbert et al, low-SES adolescents reported that social support was essential to engage in PA (7) . Comparison with other studies was not possible as no other study has investigated the possible mechanisms through which SES differences in PA remain.…”

Section: Discussionmentioning

confidence: 97%

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

Cocker

Artero

Henauw

et al. 2012

Public Health Nutr.

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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 moderateto-vigorous intensity PA. According to single-mediator models, this association was significantly mediated by stage of change (t 5 3?6, P # 0?001), awareness (t 5 2?7, 0?001,P # 0?01), modelling (t 5 4?8, P # 0?001), self-efficacy (t 5 2?5, 0?01,P # 0?05), barriers (t 5 2?7, 0?001,P # 0?01) and environmental (t 5 3?0, y See Appendix for full list of HELENA Study Group members.

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“…These findings are in accordance with previous work, showing that low family affluence was associated with lower physical activity levels and increased hours of television viewing, for both boys and girls (40,41) . Personal and environmental parameters, such as safety, affordability and social support, may influence the aforementioned inequalities (42) . Taking into account that engagement in sedentary activities tends to be associated with unhealthier dietary choices (43) , combined diet and physical activity interventions should be implemented in order to target a healthy lifestyle pattern.…”

Section: Discussionmentioning

confidence: 99%

Socio-economic and lifestyle parameters associated with diet quality of children and adolescents using classification and regression tree analysis: the DIATROFI study

Yannakoulia

Lykou

Kastorini

et al. 2015

Public Health Nutr.

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Objective: To explore factors affecting children's and adolescents' diet quality, in the framework of a food aid and promotion of healthy nutrition programme implemented in areas of low socio-economic status of Greece, during the current financial crisis. Design: From a total of 162 schools participating in the programme during 2012-2013, we gathered 15 897 questionnaires recording sociodemographic characteristics, lifestyle parameters and dietary habits of children and their families. As a measure of socio-economic status, the Family Affluence Scale (FAS) was used; whereas for the assessment of diet quality, the KIDMED score was computed. Associations between KIDMED and FAS, physical activity and socio-economic parameters were examined using regression and classification-regression tree analysis (CART). Results: The higher the FAS score, the greater the percentage of children and adolescents who reported to consume, on a daily basis, fruits and vegetables, dairy products and breakfast (P < 0·001). Results from CART showed that children and adolescents in the medium or high FAS groups had higher KIDMED score, compared with those in the low FAS group. For those in the low FAS group, KIDMED score is expected to increase by 12·4 % when they spend more than 0·25 h/week in sports activities. The respective threshold for the medium and high FAS groups is 1·75 h/week, while education of the mother and father affected KIDMED score significantly as well. Conclusions: Diet quality is strongly influenced by socio-economic parameters in children and adolescents living in economically disadvantaged areas of Greece, so that lower family affluence is associated with worse diet quality.

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Factors That Influence Physical Activity Participation Among High- and Low-SES Youth

Cited by 233 publications

References 27 publications

Exploring urban parks and their peripheral food environments using a case study approach: Young people and obesogenic environments

Exploring urban parks and their peripheral food environments using a case study approach: Young people and obesogenic environments

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

Socio-economic and lifestyle parameters associated with diet quality of children and adolescents using classification and regression tree analysis: the DIATROFI study

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