ArticlesPhysical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study
Introduction
Physical inactivity is a global pandemic, responsible for more than 5 million deaths per year and is one of the UN's primary targets to reduce non-communicable diseases.1, 2, 3 Improvements to urban environments to facilitate physical activity for transportation and recreation is a recommended strategy.4, 5
People who live in walkable neighbourhoods that are densely populated, have interconnected streets, and are close to shops, services, restaurants, public transport, and parks, tend to be more physically active than residents of less walkable areas.6, 7 Studies of built environments and physical activity have been criticised for being done in only a few countries,6, 8, 9 not capturing all types of urban environment, and relying on self-reported environmental measures. International studies are needed to represent the full range of environmental variability. If findings are generally applicable across countries, then built environment interventions are likely to be viewed as relevant to non-communicable disease policies internationally.
The purpose of this 14 city and ten country study was to document the strength, shape, and generalisability of associations between neighbourhood environment attributes and total moderate to vigorous intensity physical activity (MVPA). Objective measures of built environments and physical activity enhance precision and credibility of the findings.
Section snippets
Study design and neighbourhood selection
The International Physical Activity and Environment Network (IPEN) adult study was a multicountry cross-sectional epidemiological study with the same design and similar methods, described in detail elsewhere.10 The study included participants from 17 cities in 12 countries: Australia (Adelaide), Belgium (Ghent), Brazil (Curitiba), Colombia (Bogota), Czech Republic (Olomouc and Hradec Kralove), Denmark (Aarhus), China (Hong Kong), Mexico (Cuernavaca), New Zealand (North Shore, Waitakere,
Results
On average, participants accumulated about 37 min/day of MVPA. Baltimore (USA) had the lowest average value (29·2 min) and Wellington (New Zealand) had the highest average value of MVPA (50·1 min; table 1). The standard deviation of MVPA at the city level was 6·3 min/day, at the administrative unit level was 4·6 min/day, and at the person level was 24·4 min/day. Higher variability at the person level was expected. Four of six environmental variables were significantly associated (p<0·05) with
Discussion
This multicountry study identified urban environmental attributes that accounted for large differences in adults' physical activity. Combinations of environmental features generally explained more variation in physical activity than single variables, suggesting that a comprehensive approach is needed to design activity supportive neighbourhoods. When we compared participants living in the 5% most with the 5% least activity supportive neighbourhoods, SEV models accounted for a smaller number of
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