A Study on Physical Activity and Food Environment Affecting Obesity in Urban Residents Using GIS Spatial Analysis

2021 ◽  
Vol 22 (1) ◽  
pp. 37-48
Author(s):  
Changwoo Shon ◽  
◽  
Nan-He Yoon
Author(s):  
Stephanie L. Orstad ◽  
Kristin Szuhany ◽  
Kosuke Tamura ◽  
Lorna E. Thorpe ◽  
Melanie Jay

Increasing global urbanization limits interaction between people and natural environments, which may negatively impact population health and wellbeing. Urban residents who live near parks report better mental health. Physical activity (PA) reduces depression and improves quality of life. Despite PA’s protective effects on mental health, the added benefit of urban park use for PA is unclear. Thus, we examined whether park-based PA mediated associations between park proximity and mental distress among 3652 New York City residents (61.4% 45 + years, 58.9% female, 56.3% non-white) who completed the 2010–2011 Physical Activity and Transit (PAT) random-digit-dial survey. Measures included number of poor mental health days in the previous month (outcome), self-reported time to walk to the nearest park from home (exposure), and frequency of park use for sports, exercise or PA (mediator). We used multiple regression with bootstrap-generated 95% bias-corrected confidence intervals (BC CIs) to test for mediation by park-based PA and moderation by gender, dog ownership, PA with others, and perceived park crime. Park proximity was indirectly associated with fewer days of poor mental health via park-based PA, but only among those not concerned about park crime (index of moderated mediation = 0.04; SE = 0.02; 95% BC CI = 0.01, 0.10). Investment in park safety and park-based PA promotion in urban neighborhoods may help to maximize the mental health benefits of nearby parks.


GI_Forum ◽  
2015 ◽  
Vol 1 ◽  
pp. 475-483
Author(s):  
Bakhtiar Feizizadeh ◽  
Samereh Pourmoradian ◽  
Samira Pourmoradian

Geosciences ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 421 ◽  
Author(s):  
Elzbieta Bielecka

The paper aimed to express the cognitive and intellectual structure of research executed in the field of GIS-based land use change modeling. An exploration of the Web of Science database showed that research in GIS spatial analysis modeling for land use change began in the early 1990s and has continued since then, with a substantial growth in the 21st century. By science mapping methods, particularly co-coupling, co-citation, and citation, as well as bibliometric measures, like impact indices, this study distinguishes the most eminent authors, institutions, countries, and journals in GIS-based land use change modeling. The results showed that GIS-based analysis of land use change modeling is a multi- and interdisciplinary research topic, as reflected in the diversity of WoS research categories, the most productive journals, and the topics analyzed. The highest impact on the world sciences in the field have can be attributed to European Universities, particularly from The Netherlands, Belgium, Switzerland, and Great Britain. However, China and the United States published the highest number of research papers.


Marine Policy ◽  
2020 ◽  
Vol 113 ◽  
pp. 103803 ◽  
Author(s):  
Laura Castro-Santos ◽  
María Isabel Lamas-Galdo ◽  
Almudena Filgueira-Vizoso

2019 ◽  
Vol 57 (1) ◽  
pp. 24-31
Author(s):  
Ashleigh M. Johnson ◽  
Erin E. Dooley ◽  
Leigh Ann Ganzar ◽  
Christine E. Jovanovic ◽  
Kathryn M. Janda ◽  
...  

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