Wellbeing, space and society
In: Wellbeing, space and society, Band 5, S. 100140
ISSN: 2666-5581
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In: Wellbeing, space and society, Band 5, S. 100140
ISSN: 2666-5581
In: International journal of population data science: (IJPDS), Band 5, Heft 5
ISSN: 2399-4908
IntroductionNeighbourhoods have the potential to influence population-wide modifiable risk factors such as physical inactivity and obesity. Built environments that encourage active living hold promise as a policy lever for reducing health care burden, particularly that related to cardiometabolic disease.
Objectives and ApproachWe examined the role of active living environments on hospitalization risk, frequency, and cumulative length of stay for all-causes and cardiometabolic diseases. The linked dataset is a combination of survey data from Canadian respondents aged 45+, records from a national census of acute hospitalizations, and the Canadian Active Living Environment (Can-ALE) - a 5-class measure of how conducive one's neighbourhood is to active living based on street connectivity, points of interest, and population density. We modelled the risk of all-cause and cardiometabolic hospitalizations for respondents living in more and less favourable environments using logistic regression. Frequency and cumulative length of stay were modelled using truncated negative binomial regression. Models were adjusted for individual-level factors and proximity to a hospital. An offset variable was included to account for different follow-up times.
Results232,000 respondents were included with a mean follow-up time of 5.37 years. Those living in progressively more favourable active living environments (classes 2, 3, 4, and 5) exhibited incrementally lower risk of hospitalization compared to those living in the least favourable (class 1). Relative to respondents living in the least favourable environments (class 1), odds ratios were 0.84 (95% CI 0.76-0.93) for all-cause hospitalization and 0.80 (95% CI 0.68-0.93) for cardiometabolic hospitalization for respondents living in the most favourable environments (class 5). There was little evidence of similar associations for hospitalization frequency and cumulative length of stay.
Conclusion / ImplicationsLiving in neighbourhoods that are more conducive to active living are associated with lower risk of all-cause and cardiometabolic hospitalization.
In: International journal of population data science: (IJPDS), Band 7, Heft 3
ISSN: 2399-4908
ObjectivesHypertension is a leading cause of cardiovascular disease and premature death. Neighbourhoods characterized by a high proportion of fast-food outlets may contribute to hypertension in residents; however, limited research has explored these associations. The objectives of this study were to assess associations between neighbourhood fast-food environments, measured and self-reported hypertension.
ApproachWe used data from 10,700 adults who participated in six cycles of the Canadian Health Measures Survey (CHMS). Measured hypertension was defined as having an average systolic blood pressure (BP) of ≥140, a diastolic BP ≥90 mm Hg or being on BP lowering medication. Participants were also asked if they had been diagnosed with high BP or if they take BP lowering medication (i.e., self-reported hypertension). We characterized the fast-food environment of each participant's neighbourhood using the Canadian Food Environment Dataset (Can-FED). We considered the proportion of fast-food outlets relative to fast-food outlets and full-service restaurants as a continuous variable.
ResultsThe mean proportion of fast-food outlets was 23.3% (SD 26.8%). A one standard deviation (SD) increase in the proportion to fast-food outlets was associated with higher odds of measured hypertension in the full sample (OR=1.17, 95% CI 1.05 to 1.31) and in sex-specific models (women: OR=1.14, 95% CI 1.01 to 1.29; and men: OR=1.21, 95% CI 1.03 to 1.43). A one standard deviation (SD) increase in the proportion to fast-food outlets was associated with higher odds of self-reported hypertension in the full sample (OR=1.13, 95% CI 1.02 to 1.24); however, associations were inconclusive in sex-specific models (women: OR=1.11, 95% CI 0.99 to 1.26; and men: OR=1.14, 95% CI 0.99 to 1.33).
ConclusionBy linking neighbourhood food environment measures that were created from an administrative data source (the Statistics Canada Business Register) to individual-level data from the CHMS, we were able to demonstrate that reducing the proportion of fast-food outlets in neighbourhoods may reduce rates of hypertension and support individually targeted interventions.