Changing Health Outcomes of Vulnerable Populations Through Nursing's Influence on Neighborhood Built Environment: A Framework for Nursing Research

2012 ◽  
Vol 44 (4) ◽  
pp. 341-348 ◽  
Author(s):  
Pamela B. DeGuzman ◽  
Pamela A. Kulbok
Author(s):  
Lynn Phan ◽  
Weijun Yu ◽  
Jessica M. Keralis ◽  
Krishay Mukhija ◽  
Pallavi Dwivedi ◽  
...  

Previous studies have demonstrated that there is a high possibility that the presence of certain built environment characteristics can influence health outcomes, especially those related to obesity and physical activity. We examined the associations between select neighborhood built environment indicators (crosswalks, non-single family home buildings, single-lane roads, and visible wires), and health outcomes, including obesity, diabetes, cardiovascular disease, and premature mortality, at the state level. We utilized 31,247,167 images collected from Google Street View to create indicators for neighborhood built environment characteristics using deep learning techniques. Adjusted linear regression models were used to estimate the associations between aggregated built environment indicators and state-level health outcomes. Our results indicated that the presence of a crosswalk was associated with reductions in obesity and premature mortality. Visible wires were associated with increased obesity, decreased physical activity, and increases in premature mortality, diabetes mortality, and cardiovascular mortality (however, these results were not significant). Non-single family homes were associated with decreased diabetes and premature mortality, as well as increased physical activity and park and recreational access. Single-lane roads were associated with increased obesity and decreased park access. The findings of our study demonstrated that built environment features may be associated with a variety of adverse health outcomes.


2017 ◽  
Vol 105 ◽  
pp. 88-94 ◽  
Author(s):  
Javier Molina-García ◽  
Ana Queralt ◽  
Marc A. Adams ◽  
Terry L. Conway ◽  
James F. Sallis

2009 ◽  
Vol 68 (7) ◽  
pp. 1285-1293 ◽  
Author(s):  
James F. Sallis ◽  
Brian E. Saelens ◽  
Lawrence D. Frank ◽  
Terry L. Conway ◽  
Donald J. Slymen ◽  
...  

2020 ◽  
pp. 073346482097925
Author(s):  
Florian Herbolsheimer ◽  
Atiya Mahmood ◽  
Nadine Ungar ◽  
Yvonne L. Michael ◽  
Frank Oswald ◽  
...  

Past research documents a discordance between perceived and objectively assessed neighborhood environmental features on walking behavior. Therefore, we examined differences in the perception of the same neighborhood built environment. Participants were grouped if they lived 400 m or closer to each other. The perception of the pedestrian infrastructure, neighborhood aesthetics, safety from crime, and safety from traffic was derived from a telephone survey from two North American metropolitan areas; 173 individuals were clustered into 42 groups. Older adults who walked for transport in their neighborhood experienced the same neighborhood as more walkable (β = .19; p = .011) with better pedestrian infrastructure (β = .16; p = .037). Older adults with physical limitations experienced the same neighborhood as less safe from crime (β = −.17; p = .030) and traffic (β = −.20; p = .009). The study supports the notion that individual behavior and physical restrictions alter the environment’s perception and explains part of the discordance between objective and subjective assessment of the neighborhood environment.


2021 ◽  
Vol 22 ◽  
pp. 101234
Author(s):  
Ting-Fu Lai ◽  
Chia-Shuan Chang ◽  
Yung Liao ◽  
Ming-Chun Hsueh ◽  
Mohammad Javad Koohsari ◽  
...  

Author(s):  
Kiarri N. Kershaw ◽  
Derek J. Marsh ◽  
Emma G. Crenshaw ◽  
Rebecca B. McNeil ◽  
Victoria L. Pemberton ◽  
...  

Background: Several features of the neighborhood built environment have been shown to promote leisure-time physical activity (PA) in the general population, but few studies have examined its impact on PA during pregnancy. Methods: Data were extracted from 8362 Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be cohort participants (2010–2013). Residential address information was linked to 3 built environment characteristics: number of gyms and recreation areas within a 3-km radius of residence and census block level walkability. Self-reported leisure-time PA was measured in each trimester and dichotomized as meeting PA guidelines or not. Relative risks for cross-sectional associations between neighborhood characteristics and meeting PA guidelines were estimated using Poisson regression. Results: More gyms and recreation areas were each associated with a greater chance of meeting PA guidelines in models adjusted for sociodemographic characteristics and preexisting conditions. Associations were strongest in the third trimester where each doubling in counts of gyms and recreation areas was associated with 10% (95% confidence interval, 1.07–1.13) and 8% (95% confidence interval, 1.03–1.12), respectively, greater likelihood of meeting PA guidelines. Associations were similar though weaker for walkability. Conclusions: Results from a large, multisite cohort suggest that these built environment characteristics have similar PA-promoting benefits in pregnant women as seen in more general populations.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sayanti Mukherjee ◽  
Emmanuel Frimpong Boamah ◽  
Prasangsha Ganguly ◽  
Nisha Botchwey

AbstractThe built environment affects mental health outcomes, but this relationship is less studied and understood. This article proposes a novel multi-level scenario-based predictive analytics framework (MSPAF) to explore the complex relationships between community mental health outcomes and the built environment conditions. The MSPAF combines rigorously validated interpretable machine learning algorithms and scenario-based sensitivity analysis to test various hypotheses on how the built environment impacts community mental health outcomes across the largest metropolitan areas in the US. Among other findings, our results suggest that declining socio-economic conditions of the built environment (e.g., poverty, low income, unemployment, decreased access to public health insurance) are significantly associated with increased reported mental health disorders. Similarly, physical conditions of the built environment (e.g., increased housing vacancies and increased travel costs) are significantly associated with increased reported mental health disorders. However, this positive relationship between the physical conditions of the built environment and mental health outcomes does not hold across all the metropolitan areas, suggesting a mixed effect of the built environment’s physical conditions on community mental health. We conclude by highlighting future opportunities of incorporating other variables and datasets into the MSPAF framework to test additional hypotheses on how the built environment impacts community mental health.


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