The associations between neighborhood constructs, physical activity, and childhood obesity: Understanding race and income disparities

Uzochukwu, Kelechi

doi:10.1080/07352166.2016.1251196

Cited by 5 publications

(9 citation statements)

References 29 publications

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“…High traffic risk was associated with less activity among low SEP children, but not in high SEP children. ↑ Uzochukwu 2017 [ 56 ] National Survey of Children’s Health USA Cross-sectional 25,092 Mean (SD) age: 13.6 range (10–17) 48% girls GIS Accessibility Perceived environment Accessibility Aesthetics Parental reported household income Parental reported Total physical activity Race/ethnicity, SEP, physical amenities, social cohesion, physical detractions, social detractions. Stratified analysis Formal test of interaction Stratified analysis suggested stronger correlation between SEP and physical activity in rural areas.…”

Section: Resultsmentioning

confidence: 99%

“…Physical activity was most commonly measured by self-report [ 22 , 27 , 29 , 30 , 39 – 42 , 44 , 46 – 57 ], while ten studies measured physical activity with accelerometers [ 22 – 26 , 28 , 29 , 43 , 45 , 48 ]. The built environment was most commonly assessed objectively by geographical information systems [ 22 – 30 , 40 , 42 – 48 , 52 – 54 , 56 , 57 ]. Ten studies measured the perceived environment through various questionnaires [ 25 , 39 , 41 , 45 , 46 , 49 – 51 , 55 , 56 ] and four studies measured both objective and perceived environment [ 25 , 45 , 46 , 56 ].…”

Section: Resultsmentioning

confidence: 99%

“…The built environment was most commonly assessed objectively by geographical information systems [ 22 – 30 , 40 , 42 – 48 , 52 – 54 , 56 , 57 ]. Ten studies measured the perceived environment through various questionnaires [ 25 , 39 , 41 , 45 , 46 , 49 – 51 , 55 , 56 ] and four studies measured both objective and perceived environment [ 25 , 45 , 46 , 56 ]. Socioeconomic position was most frequently measured using a composite index [ 22 – 26 , 30 , 39 , 41 , 46 , 55 , 57 ], followed by income [ 27 – 29 , 43 , 45 , 47 , 49 , 50 , 52 – 54 , 56 ], education [ 40 , 42 , 44 , 48 ] and occupation [ 51 ].…”

Section: Resultsmentioning

confidence: 99%

“…Ten studies measured the perceived environment through various questionnaires [ 25 , 39 , 41 , 45 , 46 , 49 – 51 , 55 , 56 ] and four studies measured both objective and perceived environment [ 25 , 45 , 46 , 56 ]. Socioeconomic position was most frequently measured using a composite index [ 22 – 26 , 30 , 39 , 41 , 46 , 55 , 57 ], followed by income [ 27 – 29 , 43 , 45 , 47 , 49 , 50 , 52 – 54 , 56 ], education [ 40 , 42 , 44 , 48 ] and occupation [ 51 ]. Fourteen studies measured SEP at the area-level [ 22 – 26 , 29 , 30 , 39 , 41 , 43 , 49 , 52 , 57 ], while fifteen measured SEP at the individual level [ 27 , 28 , 40 , 42 , 44 – 48 , 50 , 51 , 53 – 56 ].…”

Section: Resultsmentioning

confidence: 99%

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Socioeconomic position, built environment and physical activity among children and adolescents: a systematic review of mediating and moderating effects

Andersen

Gebremariam

Kolle

et al. 2022

Int J Behav Nutr Phys Act

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Background Physical activity behaviors among children and adolescents are socioeconomically patterned. Understanding if, and how, the built environment contributes to socioeconomic inequalities in physical activity and for whom built environments are most important, can lead to the identification of intervention entry points to reduce inequalities in physical activity. Objective To summarize the existing evidence among children and adolescents on (a) whether the built environment mediates the association between socioeconomic position and physical activity and (b) whether socioeconomic position moderates the association between the built environment and physical activity. Methods A systematic literature search was conducted using PubMed, Embase, PsycINFO and Web of Science. Two independent reviewers screened articles for eligibility, extracted information from included studies and assessed risk of bias with the Quality Assessment Tool for Observational Cohort and Cross-Sectional studies. We performed a narrative evidence synthesis considering the totality of the evidence and by study characteristics such as geographic region, age group, and exposure-outcome assessment methodology. The reporting was conducted in agreement with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Results A total of 28 papers were included. In general, the studies were of low methodological quality. There was no evidence to support that the built environment functions as a mediator in the relationship between socioeconomic position and physical activity. We observed inconclusive moderation patterns with five studies reporting stronger associations between features of the built environment and physical activity among high socioeconomic positioned youths. Seven studies reported stronger associations among low socioeconomic positioned youth and fourteen studies reported no difference in associations. We observed different moderation patterns across geographical regions (Europe vs. US) indicating that, in Europe, having a walkable neighborhood is important for low socioeconomic positioned youth only. No differences in moderation patterns were observed for younger vs. older children or activity domains. Conclusion Current evidence does not support a strong interplay between built environment and socioeconomic position on physical activity in youth. However, given the low quality of the evidence, firm conclusions cannot be made, and additional high-quality research is likely to have substantial impact on the evidence base.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Socioeconomic position, built environment and physical activity among children and adolescents: a systematic review of mediating and moderating effects

Andersen

Gebremariam

Kolle

et al. 2022

Int J Behav Nutr Phys Act

View full text Add to dashboard Cite

show abstract

“…These disparities are at least partly due to structural inequities in access, resources, and infrastructure. In U.S. representative samples, youth of low socioeconomic status (SES) participate in less PA than their middle-to-high SES peers, with the exception of African American male young adults (Uzochukwu, 2017). From childhood to young adulthood, girls participate in less PA than boys; the disparity is greatest for African American girls.…”

Section: Introductionmentioning

confidence: 99%