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Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach

BACKGROUND: Disparities in access to care persist for Latino youth born in the United States (US). The association of maternal characteristics, such as maternal citizenship status and insurance coverage, on youth health insurance coverage is unclear and is important to examine given the recent socio...

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Autores principales: Alberto, Cinthya K., Pintor, Jessie Kemmick, Langellier, Brent, Tabb, Loni Philip, Martínez-Donate, Ana P., Stimpson, Jim P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353771/
https://www.ncbi.nlm.nih.gov/pubmed/32653037
http://dx.doi.org/10.1186/s12889-020-09188-1
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author Alberto, Cinthya K.
Pintor, Jessie Kemmick
Langellier, Brent
Tabb, Loni Philip
Martínez-Donate, Ana P.
Stimpson, Jim P.
author_facet Alberto, Cinthya K.
Pintor, Jessie Kemmick
Langellier, Brent
Tabb, Loni Philip
Martínez-Donate, Ana P.
Stimpson, Jim P.
author_sort Alberto, Cinthya K.
collection PubMed
description BACKGROUND: Disparities in access to care persist for Latino youth born in the United States (US). The association of maternal characteristics, such as maternal citizenship status and insurance coverage, on youth health insurance coverage is unclear and is important to examine given the recent sociopolitical shifts occurring in the US. METHODS: We analyzed pooled cross-sectional data from the 2010–2018 National Health Interview Survey to examine the association of Latina maternal citizenship status on maternal insurance coverage status and youth uninsurance among US-born Latino youth. Our study sample consisted of 15,912 US-born Latino youth (ages < 18) with linked mothers. Our outcome measures were maternal insurance coverage type and youth uninsurance and primary predictor was maternal citizenship status. Generalized structural equation modeling was used to examine the relationships between maternal characteristics (maternal citizenship, maternal insurance coverage status) and youth uninsurance. RESULTS: Overall, 7% of US-born Latino youth were uninsured. Just 6% of youth with US-born mothers were uninsured compared to almost 10% of those with noncitizen mothers. Over 18% of youth with uninsured mothers were uninsured compared to 2.2% among youth with mothers who had private insurance coverage. Compared to both US-born and naturalized citizen Latina mothers, noncitizen Latina mothers had 4.75 times the odds of reporting being uninsured. Once adjusted for predisposing, enabling, and need factors, maternal uninsurance was strongly associated with youth uninsurance and maternal citizenship was weakly associated with youth uninsurance among US-born Latino youth. CONCLUSION: Maternal citizenship was associated with both maternal uninsurance and youth uninsurance among US-born Latino youth. Federal- and state-level health policymaking should apply a two-generational approach to ensure that mothers of children are offered affordable health insurance coverage, regardless of their citizenship status, thus reducing uninsurance among US-born Latino youth.
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spelling pubmed-73537712020-07-15 Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach Alberto, Cinthya K. Pintor, Jessie Kemmick Langellier, Brent Tabb, Loni Philip Martínez-Donate, Ana P. Stimpson, Jim P. BMC Public Health Research Article BACKGROUND: Disparities in access to care persist for Latino youth born in the United States (US). The association of maternal characteristics, such as maternal citizenship status and insurance coverage, on youth health insurance coverage is unclear and is important to examine given the recent sociopolitical shifts occurring in the US. METHODS: We analyzed pooled cross-sectional data from the 2010–2018 National Health Interview Survey to examine the association of Latina maternal citizenship status on maternal insurance coverage status and youth uninsurance among US-born Latino youth. Our study sample consisted of 15,912 US-born Latino youth (ages < 18) with linked mothers. Our outcome measures were maternal insurance coverage type and youth uninsurance and primary predictor was maternal citizenship status. Generalized structural equation modeling was used to examine the relationships between maternal characteristics (maternal citizenship, maternal insurance coverage status) and youth uninsurance. RESULTS: Overall, 7% of US-born Latino youth were uninsured. Just 6% of youth with US-born mothers were uninsured compared to almost 10% of those with noncitizen mothers. Over 18% of youth with uninsured mothers were uninsured compared to 2.2% among youth with mothers who had private insurance coverage. Compared to both US-born and naturalized citizen Latina mothers, noncitizen Latina mothers had 4.75 times the odds of reporting being uninsured. Once adjusted for predisposing, enabling, and need factors, maternal uninsurance was strongly associated with youth uninsurance and maternal citizenship was weakly associated with youth uninsurance among US-born Latino youth. CONCLUSION: Maternal citizenship was associated with both maternal uninsurance and youth uninsurance among US-born Latino youth. Federal- and state-level health policymaking should apply a two-generational approach to ensure that mothers of children are offered affordable health insurance coverage, regardless of their citizenship status, thus reducing uninsurance among US-born Latino youth. BioMed Central 2020-07-11 /pmc/articles/PMC7353771/ /pubmed/32653037 http://dx.doi.org/10.1186/s12889-020-09188-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Alberto, Cinthya K.
Pintor, Jessie Kemmick
Langellier, Brent
Tabb, Loni Philip
Martínez-Donate, Ana P.
Stimpson, Jim P.
Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach
title Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach
title_full Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach
title_fullStr Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach
title_full_unstemmed Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach
title_short Association of maternal characteristics with latino youth health insurance disparities in the United States: a generalized structural equation modeling approach
title_sort association of maternal characteristics with latino youth health insurance disparities in the united states: a generalized structural equation modeling approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353771/
https://www.ncbi.nlm.nih.gov/pubmed/32653037
http://dx.doi.org/10.1186/s12889-020-09188-1
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