Detailed information
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The information is provided in the language in which it was submitted by the researcher.
- Project title:
- Neighbourhood environments as a determinant of physical and mental health outcomes in a context of smaller urban and rural settlements
- Principal investigator(s):
- Gupta, Neeru
- Co-investigator(s):
- Crouse, Dan L; Foroughi, Ismael; Takaro, Timothy K
- Supervisors:
- N/A
- Institution paid:
- University of New Brunswick (Fredericton)
- Research institution:
- University of New Brunswick (Fredericton)
- Department:
- Sociology
- Program:
- Operating Grant: Data Analysis - Healthy Cities Intervention Research
- Competition (year/month):
- 201910
- Assigned peer review committee:
- Data Analysis Using Existing Databases and Cohorts
- Primary institute:
- Population and Public Health
- Primary theme:
- Social / Cultural / Environmental / Population Health
- Term (yrs/mths):
- 1 yr 0 mth
- CIHR contribution:
- Contributors:
- Inst of Population &Publ Hlth
- Amount:
- $74,334
- Equipment:
- $0
- External funding partner(s):
- Partner Name:
- N/A
- Amount:
- N/A
- Equipment:
- N/A
- External applicant partner(s):
- Partner Name:
- N/A
- Amount:
- N/A
- Equipment:
- N/A
- External in-kind partner(s):
- Partner Name:
- N/A
- Amount:
- N/A
- Equipment:
- N/A
- Keywords:
- Built Environment; Chronic Disease; Healthy Environment; Noncommunicable Diseases; Population Health; Walkability
- Abstract/Summary:
- Chronic diseases such as diabetes are increasingly common in Canada and around the world, but many actions can be taken to promote good physical and mental health. Through our research, we will generate policy-actionable evidence for promoting interventions to improve the environments in which people live, work, and play to reduce the risks associated with chronic disease. We will use different data sets covering a wide range of contextual information on local climates, socioeconomic characteristics, and built environments that may facilitate or hinder physical activity in daily life. We will link these data sets to multiple years of individual-level data on having developed diabetes and other chronic diseases, or being hospitalized for these largely preventable conditions. This is important because using one data source alone would not give us good measurements that reflect the complexity of factors influencing people's health. We use statistical tests to examine trends over time in how living in more-walkable versus less-walkable neighbourhoods are related to chronic disease outcomes.
- Version:
- 20250311.1