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1.
Health Place ; 83: 103101, 2023 09.
Artículo en Inglés | MEDLINE | ID: mdl-37625238

RESUMEN

Residents of lower socioeconomic status (SES) areas are at a higher risk of overweight/obesity than those from higher SES areas. Built environment attributes may mitigate such inequalities. This systematic review synthesised findings of studies examining built environment attributes as potential moderators of the associations between area-level SES and overweight/obesity in adults. From five databases, nine eligible studies were identified. The SES-overweight/obesity relationship was stronger in inner areas and suburbs of large cities, while it was weaker in more rural areas. Two studies examined walkability and reported contrasting findings: no moderation in one and marginally significant moderation (less inequality in higher walkability areas) in the other. No evidence of moderation was found for street connectivity, population density, the food environment, access to physical activity facilities and several perceived environmental attributes. Further research is needed on other built environment attributes (e.g., access to, quantity and quality of green spaces, active transport features), and ideally using prospective study designs and objective makers of adiposity.


Asunto(s)
Sobrepeso , Caminata , Adulto , Humanos , Sobrepeso/epidemiología , Planificación Ambiental , Estudios Prospectivos , Características de la Residencia , Entorno Construido , Obesidad/epidemiología , Clase Social
2.
Ann Epidemiol ; 83: 1-7, 2023 07.
Artículo en Inglés | MEDLINE | ID: mdl-37094624

RESUMEN

PURPOSE: We examined the potential mediating roles of domain-specific physical activities and sedentary behaviors in the relationship between area-level socioeconomic status (SES) and cardiometabolic risk. METHODS: Data were from the 2011/2012 Australian Diabetes, Obesity and Lifestyle study (n = 3431). The outcome was a clustered cardiometabolic risk (CCR) score, and the exposure was suburb-level SES. Potential mediators were domain-specific physical activities and sedentary behaviors. Multilevel linear regression models examined associations between SES and potential mediators (α) and between mediators and CCR (ß). Mediation was assessed using the joint-significance test. RESULTS: Higher SES was associated with a lower CCR score. Lower SES was associated with less frequent walking for transport, lower vigorous-intensity recreational physical activity, and higher TV time, which were associated with higher CCR scores. However, higher SES was associated with longer transport-related sitting time (all modes and in cars), which were associated with higher CCR scores. CONCLUSIONS: The SES-cardiometabolic risk relationship may be partially explained by walking for transport, vigorous-intensity recreational physical activity, and TV viewing. These findings, which require corroboration from prospective evidence and clarification of the roles of transport-related sitting and occupational physical activity, can inform initiatives addressing socioeconomic inequalities in cardiometabolic health.


Asunto(s)
Enfermedades Cardiovasculares , Conducta Sedentaria , Humanos , Estudios Prospectivos , Australia/epidemiología , Ejercicio Físico , Clase Social , Enfermedades Cardiovasculares/epidemiología , Factores Socioeconómicos
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