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The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults
BACKGROUND: Place-based factors have been implicated as root causes of socioeconomic disparities in risky health behaviors such as tobacco and alcohol use. Yet few studies examine the effects of county-level socioeconomic characteristics, despite the fact that social and public health policies are o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458796/ https://www.ncbi.nlm.nih.gov/pubmed/30971249 http://dx.doi.org/10.1186/s12889-019-6700-x |
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author | Hamad, Rita Brown, Daniel M. Basu, Sanjay |
author_facet | Hamad, Rita Brown, Daniel M. Basu, Sanjay |
author_sort | Hamad, Rita |
collection | PubMed |
description | BACKGROUND: Place-based factors have been implicated as root causes of socioeconomic disparities in risky health behaviors such as tobacco and alcohol use. Yet few studies examine the effects of county-level socioeconomic characteristics, despite the fact that social and public health policies are often implemented at the county level. In this study, we tested the hypothesis that county-level socioeconomic disadvantage was associated with individual tobacco and alcohol use. METHODS: The sample included a panel of participants from the National Longitudinal Survey of Youth (N = 9302). The primary predictors were three time-varying measures of socioeconomic disadvantage in an individual’s county of residence: educational attainment, percent unemployment, and per capita income. We first conducted traditional ordinary least squares (OLS) models, both unadjusted and adjusted for individual-level covariates. We then conducted fixed effects (FE) models to adjust for confounding by unmeasured time-invariant individual-level factors. RESULTS: OLS and FE models yielded contrasting results: higher county-level per capita income was associated with decreased drinking in OLS models and increased drinking in FE models, while decreased county-level educational attainment was associated with decreased smoking in OLS models and more cigarettes per day in FE models. The findings from FE models suggest that OLS models were confounded by unobserved time-invariant characteristics. Notably, the point estimates for the county-level measures were small, and in many cases they may not represent a clinically meaningful effect except at the population level. CONCLUSIONS: These results suggest that county-level socioeconomic characteristics may modestly influence tobacco and alcohol use. Future work should examine the effects of specific county policies that might explain these findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-6700-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6458796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64587962019-04-22 The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults Hamad, Rita Brown, Daniel M. Basu, Sanjay BMC Public Health Research Article BACKGROUND: Place-based factors have been implicated as root causes of socioeconomic disparities in risky health behaviors such as tobacco and alcohol use. Yet few studies examine the effects of county-level socioeconomic characteristics, despite the fact that social and public health policies are often implemented at the county level. In this study, we tested the hypothesis that county-level socioeconomic disadvantage was associated with individual tobacco and alcohol use. METHODS: The sample included a panel of participants from the National Longitudinal Survey of Youth (N = 9302). The primary predictors were three time-varying measures of socioeconomic disadvantage in an individual’s county of residence: educational attainment, percent unemployment, and per capita income. We first conducted traditional ordinary least squares (OLS) models, both unadjusted and adjusted for individual-level covariates. We then conducted fixed effects (FE) models to adjust for confounding by unmeasured time-invariant individual-level factors. RESULTS: OLS and FE models yielded contrasting results: higher county-level per capita income was associated with decreased drinking in OLS models and increased drinking in FE models, while decreased county-level educational attainment was associated with decreased smoking in OLS models and more cigarettes per day in FE models. The findings from FE models suggest that OLS models were confounded by unobserved time-invariant characteristics. Notably, the point estimates for the county-level measures were small, and in many cases they may not represent a clinically meaningful effect except at the population level. CONCLUSIONS: These results suggest that county-level socioeconomic characteristics may modestly influence tobacco and alcohol use. Future work should examine the effects of specific county policies that might explain these findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-6700-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-11 /pmc/articles/PMC6458796/ /pubmed/30971249 http://dx.doi.org/10.1186/s12889-019-6700-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Hamad, Rita Brown, Daniel M. Basu, Sanjay The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults |
title | The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults |
title_full | The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults |
title_fullStr | The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults |
title_full_unstemmed | The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults |
title_short | The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults |
title_sort | association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of u.s. adults |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458796/ https://www.ncbi.nlm.nih.gov/pubmed/30971249 http://dx.doi.org/10.1186/s12889-019-6700-x |
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