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Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago
Neighborhood psychosocial stressors like crime and physical disorder may influence obesity-related outcomes through chronic stress or through adverse effects on health behaviors. Google Street View imagery provides a low-cost, reliable method for auditing neighborhood physical disorder, but few stud...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069019/ https://www.ncbi.nlm.nih.gov/pubmed/29970797 http://dx.doi.org/10.3390/ijerph15071395 |
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author | Mayne, Stephanie L. Jose, Angelina Mo, Allison Vo, Lynn Rachapalli, Simona Ali, Hussain Davis, Julia Kershaw, Kiarri N. |
author_facet | Mayne, Stephanie L. Jose, Angelina Mo, Allison Vo, Lynn Rachapalli, Simona Ali, Hussain Davis, Julia Kershaw, Kiarri N. |
author_sort | Mayne, Stephanie L. |
collection | PubMed |
description | Neighborhood psychosocial stressors like crime and physical disorder may influence obesity-related outcomes through chronic stress or through adverse effects on health behaviors. Google Street View imagery provides a low-cost, reliable method for auditing neighborhood physical disorder, but few studies have examined associations of Street View-derived physical disorder scores with health outcomes. We used Google Street View to audit measures of physical disorder for residential census blocks from 225 women aged 18–44 enrolled from 4 Chicago neighborhoods. Latent neighborhood physical disorder scores were estimated using an item response theory model and aggregated to the block group level. Block-group level physical disorder scores and rates of police-recorded crime and 311 calls for service requests were linked to participants based on home addresses. Associations were estimated for 6 obesity-related outcomes: body mass index, obesity, total moderate-to-vigorous physical activity, and weekly consumption of sugar-sweetened beverages, fast food, and snacks. Hierarchical regression models estimated cross-sectional associations adjusting for individual sociodemographics and neighborhood poverty. Higher neighborhood physical disorder was associated with greater odds of obesity (OR: 1.43, 95% CI: 1.01, 2.02). Living in a neighborhood with a higher crime rate was associated with an increase in weekly snack consumption of 3.06 (95% CI: 1.59, 4.54). |
format | Online Article Text |
id | pubmed-6069019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60690192018-08-07 Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago Mayne, Stephanie L. Jose, Angelina Mo, Allison Vo, Lynn Rachapalli, Simona Ali, Hussain Davis, Julia Kershaw, Kiarri N. Int J Environ Res Public Health Article Neighborhood psychosocial stressors like crime and physical disorder may influence obesity-related outcomes through chronic stress or through adverse effects on health behaviors. Google Street View imagery provides a low-cost, reliable method for auditing neighborhood physical disorder, but few studies have examined associations of Street View-derived physical disorder scores with health outcomes. We used Google Street View to audit measures of physical disorder for residential census blocks from 225 women aged 18–44 enrolled from 4 Chicago neighborhoods. Latent neighborhood physical disorder scores were estimated using an item response theory model and aggregated to the block group level. Block-group level physical disorder scores and rates of police-recorded crime and 311 calls for service requests were linked to participants based on home addresses. Associations were estimated for 6 obesity-related outcomes: body mass index, obesity, total moderate-to-vigorous physical activity, and weekly consumption of sugar-sweetened beverages, fast food, and snacks. Hierarchical regression models estimated cross-sectional associations adjusting for individual sociodemographics and neighborhood poverty. Higher neighborhood physical disorder was associated with greater odds of obesity (OR: 1.43, 95% CI: 1.01, 2.02). Living in a neighborhood with a higher crime rate was associated with an increase in weekly snack consumption of 3.06 (95% CI: 1.59, 4.54). MDPI 2018-07-03 2018-07 /pmc/articles/PMC6069019/ /pubmed/29970797 http://dx.doi.org/10.3390/ijerph15071395 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mayne, Stephanie L. Jose, Angelina Mo, Allison Vo, Lynn Rachapalli, Simona Ali, Hussain Davis, Julia Kershaw, Kiarri N. Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago |
title | Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago |
title_full | Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago |
title_fullStr | Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago |
title_full_unstemmed | Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago |
title_short | Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago |
title_sort | neighborhood disorder and obesity-related outcomes among women in chicago |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069019/ https://www.ncbi.nlm.nih.gov/pubmed/29970797 http://dx.doi.org/10.3390/ijerph15071395 |
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