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Table 5 shows associations of walkable built environment characteristics with change in BMI z-score.
In Table 4, we show associations of walkable built environment characteristics with BMI z-score.
Objectives: We examined the association of walkable built environment characteristics with body mass index (BMI) z-score among a large sample of children and adolescents.
Using electronic health record data comprising a large sample of children and adolescents in Massachusetts, we examined the relationship of walkable built environment characteristics with cross-sectional BMI z-score and change in BMI z-score over time.
The purpose of the present study was to estimate associations of walkable built environment characteristics with BMI z-scores based on data from a large sample of children and adolescents included in an electronic health record database that has objective measures of BMI, thus addressing the aforementioned limitations of existing research.
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To examine active travel and public transportation use among U.S. older adults and the built environment characteristics associated with them.
Having different health and built environment characteristics also corresponds with different degrees of predictability of the activity-travel patterns, particularly in the worker/student case.
In unadjusted models (model 1) and models adjusted for child age, sex, and race/ethnicity, we found that several walkable built environment characteristics were associated with child BMI z-score.
We argue that built environment characteristics influence travel through their interplay with inhabitants' rationales for location of activities and travel mode choice.
To fill in the research gap, this paper focuses on the influences of road charging on the vehicle emissions of regions with different built environment characteristics.
Using data from 7200 adult respondents in the 2007 Los Angeles County Health Survey, a binary logistic regression model is tested to examine whether land use patterns and the built environment characteristics of residential neighborhoods are associated with one's probability of being obese.
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