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Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers
Numerous studies have assessed individual-level factors associated with intention to quit smoking. However, fewer studies have assessed how neighborhood and built environment also contribute towards individual-level behavior. We used baseline data of 340 Chinese and Vietnamese male daily smokers fro...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093831/ https://www.ncbi.nlm.nih.gov/pubmed/32226728 http://dx.doi.org/10.1016/j.pmedr.2020.101064 |
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author | Vyas, Priyanka Tsoh, Janice Y. Gildengorin, Ginny Stewart, Susan L. Yu, Edgar Guan, Alice Pham, Amber Burke, Nancy J. McPhee, Steven J. |
author_facet | Vyas, Priyanka Tsoh, Janice Y. Gildengorin, Ginny Stewart, Susan L. Yu, Edgar Guan, Alice Pham, Amber Burke, Nancy J. McPhee, Steven J. |
author_sort | Vyas, Priyanka |
collection | PubMed |
description | Numerous studies have assessed individual-level factors associated with intention to quit smoking. However, fewer studies have assessed how neighborhood and built environment also contribute towards individual-level behavior. We used baseline data of 340 Chinese and Vietnamese male daily smokers from August 2015 to November 2017 living in the San Francisco Bay Area, who enrolled in a lifestyle intervention trial. The outcome variable was intention to quit in 30 days. To understand the role of contextual factors participants’ residential addresses were geocoded, and neighborhood median income, ethnic composition, and tobacco retail density were computed. Individual level analysis suggested that Vietnamese American men had greater intention to quit smoking (OR = 2.90 CI = 1.59, 5.26) in comparison to Chinese Americans. However, after adding neighborhood level factors to the model, no ethnic group difference was observed. Neighborhood household median income (OR = 0.74, CI = 0.64, 0.86) and tobacco retail counts (OR = 0.79, CI = 0.67, 0.94) were negatively associated with intention to quit. Years lived in the U.S. was the only individual level factor associated with intention to quit. By comparing two Asian American groups that live in heterogeneous neighborhoods, we identify key environmental and policy drivers that are associated with quit intention. Future studies aimed at influencing individual-level behavior should take into consideration the neighborhood context and built environment characteristics. |
format | Online Article Text |
id | pubmed-7093831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-70938312020-03-27 Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers Vyas, Priyanka Tsoh, Janice Y. Gildengorin, Ginny Stewart, Susan L. Yu, Edgar Guan, Alice Pham, Amber Burke, Nancy J. McPhee, Steven J. Prev Med Rep Regular Article Numerous studies have assessed individual-level factors associated with intention to quit smoking. However, fewer studies have assessed how neighborhood and built environment also contribute towards individual-level behavior. We used baseline data of 340 Chinese and Vietnamese male daily smokers from August 2015 to November 2017 living in the San Francisco Bay Area, who enrolled in a lifestyle intervention trial. The outcome variable was intention to quit in 30 days. To understand the role of contextual factors participants’ residential addresses were geocoded, and neighborhood median income, ethnic composition, and tobacco retail density were computed. Individual level analysis suggested that Vietnamese American men had greater intention to quit smoking (OR = 2.90 CI = 1.59, 5.26) in comparison to Chinese Americans. However, after adding neighborhood level factors to the model, no ethnic group difference was observed. Neighborhood household median income (OR = 0.74, CI = 0.64, 0.86) and tobacco retail counts (OR = 0.79, CI = 0.67, 0.94) were negatively associated with intention to quit. Years lived in the U.S. was the only individual level factor associated with intention to quit. By comparing two Asian American groups that live in heterogeneous neighborhoods, we identify key environmental and policy drivers that are associated with quit intention. Future studies aimed at influencing individual-level behavior should take into consideration the neighborhood context and built environment characteristics. 2020-02-11 /pmc/articles/PMC7093831/ /pubmed/32226728 http://dx.doi.org/10.1016/j.pmedr.2020.101064 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Vyas, Priyanka Tsoh, Janice Y. Gildengorin, Ginny Stewart, Susan L. Yu, Edgar Guan, Alice Pham, Amber Burke, Nancy J. McPhee, Steven J. Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers |
title | Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers |
title_full | Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers |
title_fullStr | Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers |
title_full_unstemmed | Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers |
title_short | Disentangling individual and neighborhood differences in the intention to quit smoking in Asian American male smokers |
title_sort | disentangling individual and neighborhood differences in the intention to quit smoking in asian american male smokers |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093831/ https://www.ncbi.nlm.nih.gov/pubmed/32226728 http://dx.doi.org/10.1016/j.pmedr.2020.101064 |
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