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Cited by 695

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Toward a Theory-Driven Model of Acculturation in Public Health Research

Open access
Abraído-Lanza, Ana F., Armbrister, Adria N., Flórez, Karen R., Aguirre, Alejandra N.·2006·American Journal of Public Health

Abstract

Interest in studying the impact of acculturation on immigrant health has increased in tandem with the growth of the Latino population in the United States. Linear assimilation models continue to dominate public health research despite the availability of more complex acculturation theories that propose multidimensional frameworks, reciprocal interactions between the individual and the environment, and other acculturative processes among various Latino groups. Because linear and unidimensional assessments (e.g., nativity, length of stay in the United States, and language use) provide constricted measures of acculturation, the rare use of multidimensional acculturation measures and models has inhibited a more comprehensive understanding of the association between specific components of acculturation and particular health outcomes. A public health perspective that incorporates the roles of structural and cultural forces in acculturation may help identify mechanisms underlying links between acculturation and health among Latinos.

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Metadata

Authors
Abraído-Lanza, A. F., Armbrister, A. N., Flórez, K. R., & Aguirre, A. N.
Venue
American Journal of Public Health
Published
2006-08
Volume
96
Issue
8
Pages
1342-1346
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2149000347
Cited by
695
References
52
FWCI
108.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Toward a Theory-Driven Model of Acculturation in Public Health Research. https://app.cochat.ai/papers/10.2105/ajph.2005.064980
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Abraído-Lanza, A. F., Armbrister, A. N., Flórez, K. R., & Aguirre, A. N. (2006). Toward a Theory-Driven Model of Acculturation in Public Health Research. American Journal of Public Health. https://doi.org/10.2105/ajph.2005.064980

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.