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Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis

This study of ethnic Asian children in the United States asked whether their health exhibited relationship with any of six factors: social disorganization, social structural factors, social relationships, the health of their parents, their access to medical insurance, acculturation. The sample of 13...

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Detalles Bibliográficos
Autores principales: Cheng, Tyrone C., Lo, Celia C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819056/
https://www.ncbi.nlm.nih.gov/pubmed/36612803
http://dx.doi.org/10.3390/ijerph20010483
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author Cheng, Tyrone C.
Lo, Celia C.
author_facet Cheng, Tyrone C.
Lo, Celia C.
author_sort Cheng, Tyrone C.
collection PubMed
description This study of ethnic Asian children in the United States asked whether their health exhibited relationship with any of six factors: social disorganization, social structural factors, social relationships, the health of their parents, their access to medical insurance, acculturation. The sample of 1350 ethnic Asian children was extracted from the 2018 National Survey of Children’s Health. Logistic regression results showed that these children’s excellent/very good/good health was associated positively with safe neighborhoods, family incomes, family cohesiveness, family support, and receipt of Temporary Assistance for Needy Families (TANF). In turn, health was associated negatively with single-mother households. Implications of the present results in terms of interventions promoting family support, TANF participation, safe neighborhoods, and professionals’ cultural competency are discussed.
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spelling pubmed-98190562023-01-07 Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis Cheng, Tyrone C. Lo, Celia C. Int J Environ Res Public Health Article This study of ethnic Asian children in the United States asked whether their health exhibited relationship with any of six factors: social disorganization, social structural factors, social relationships, the health of their parents, their access to medical insurance, acculturation. The sample of 1350 ethnic Asian children was extracted from the 2018 National Survey of Children’s Health. Logistic regression results showed that these children’s excellent/very good/good health was associated positively with safe neighborhoods, family incomes, family cohesiveness, family support, and receipt of Temporary Assistance for Needy Families (TANF). In turn, health was associated negatively with single-mother households. Implications of the present results in terms of interventions promoting family support, TANF participation, safe neighborhoods, and professionals’ cultural competency are discussed. MDPI 2022-12-28 /pmc/articles/PMC9819056/ /pubmed/36612803 http://dx.doi.org/10.3390/ijerph20010483 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cheng, Tyrone C.
Lo, Celia C.
Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis
title Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis
title_full Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis
title_fullStr Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis
title_full_unstemmed Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis
title_short Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis
title_sort testing the multiple disadvantage model of health with ethnic asian children: a secondary data analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819056/
https://www.ncbi.nlm.nih.gov/pubmed/36612803
http://dx.doi.org/10.3390/ijerph20010483
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