49 Trends in children's active commuting, school sport and physical education in high and low socioeconomic status areas of Melbourne, Victoria: 1985-2001

2005 ◽  
Vol 8 ◽  
pp. 35
Author(s):  
J. Salmon ◽  
A. Timperio ◽  
V. Cleland ◽  
A. Venn
2018 ◽  
Vol 52 ◽  
pp. 93 ◽  
Author(s):  
Alexandre Augusto de Paula da Silva ◽  
Rogério César Fermino ◽  
Carla Adriane Souza ◽  
Alex Vieira Lima ◽  
Ciro Romelio Rodriguez-Añez ◽  
...  

OBJECTIVE: To analyze the moderator effect of socioeconomic status in the association between the perceived environment and active commuting to school. METHODS: A total of 495 adolescents and their parents were interviewed. Perceived environment was operationalized in traffic and crime safety and assessed with the Neighborhood Environment Walkability Scale. Active commuting was self-reported by the adolescents, categorized in walking, bicycling or skating at least one time/week. Socioeconomic status was used as moderator effect, reported from adolescents’ parents or guardians using Brazilian standardized socioeconomic status classification. Analyses were performed with Poisson regression on Stata 12.0. RESULTS: Prevalence of active commuting was 63%. Adolescents with low socioeconomic status who reported “it is easy to observe pedestrians and cyclists” were more likely to actively commute to school (PR = 1.18, 95%CI 1.03–1.13). Adolescents with low socioeconomic status whose parents or legal guardians reported positively to “being safe crossing the streets” had increased probability of active commuting to school (PR = 1.10, 95%CI 1.01–1.20), as well as those with high socioeconomic status with “perception of crime” were positively associated to the outcome (PR = 1.33, 95%CI 1.03–1.72). CONCLUSIONS: Socioeconomic status showed moderating effects in the association between the perceived environment and active commuting to school.


2014 ◽  
Author(s):  
Sarah Dayle Herrmann ◽  
Jessica Bodford ◽  
Robert Adelman ◽  
Oliver Graudejus ◽  
Morris Okun ◽  
...  

2020 ◽  
Vol 91 (6) ◽  
pp. 2042-2062
Author(s):  
Susana Mendive ◽  
Mayra Mascareño Lara ◽  
Daniela Aldoney ◽  
J. Carola Pérez ◽  
José P. Pezoa

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e043547
Author(s):  
Donald A Redelmeier ◽  
Kelvin Ng ◽  
Deva Thiruchelvam ◽  
Eldar Shafir

ObjectivesEconomic constraints are a common explanation of why patients with low socioeconomic status tend to experience less access to medical care. We tested whether the decreased care extends to medical assistance in dying in a healthcare system with no direct economic constraints.DesignPopulation-based case–control study of adults who died.SettingOntario, Canada, between 1 June 2016 and 1 June 2019.PatientsPatients receiving palliative care under universal insurance with no user fees.ExposurePatient’s socioeconomic status identified using standardised quintiles.Main outcome measureWhether the patient received medical assistance in dying.ResultsA total of 50 096 palliative care patients died, of whom 920 received medical assistance in dying (cases) and 49 176 did not receive medical assistance in dying (controls). Medical assistance in dying was less frequent for patients with low socioeconomic status (166 of 11 008=1.5%) than for patients with high socioeconomic status (227 of 9277=2.4%). This equalled a 39% decreased odds of receiving medical assistance in dying associated with low socioeconomic status (OR=0.61, 95% CI 0.50 to 0.75, p<0.001). The relative decrease was evident across diverse patient groups and after adjusting for age, sex, home location, malignancy diagnosis, healthcare utilisation and overall frailty. The findings also replicated in a subgroup analysis that matched patients on responsible physician, a sensitivity analysis based on a different socioeconomic measure of low-income status and a confirmation study using a randomised survey design.ConclusionsPatients with low socioeconomic status are less likely to receive medical assistance in dying under universal health insurance. An awareness of this imbalance may help in understanding patient decisions in less extreme clinical settings.


Author(s):  
Kevin Kien Hoa Chung ◽  
Xiaomin Li ◽  
Cheuk Yi Lam ◽  
Chun Bun Lam ◽  
Wing Kai Fung ◽  
...  

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