Bilingualism, assessment language, and the Montreal Cognitive Assessment in Mexican Americans.


Journal

Journal of the American Geriatrics Society
ISSN: 1532-5415
Titre abrégé: J Am Geriatr Soc
Pays: United States
ID NLM: 7503062

Informations de publication

Date de publication:
07 2021
Historique:
revised: 19 03 2021
received: 11 01 2021
accepted: 11 04 2021
pubmed: 9 5 2021
medline: 12 10 2021
entrez: 8 5 2021
Statut: ppublish

Résumé

Assessment of cognition in linguistically diverse aging populations is a growing need. Bilingualism may complicate cognitive measurement precision, and bilingualism may vary across Hispanic/Latinx sub-populations. We examined the association among bilingualism, assessment language, and cognitive screening performance in a primarily non-immigrant Mexican American community. Prospective, community-based cohort study: The Brain Attack Surveillance in Corpus Christi (BASIC)-Cognitive study. Nueces County, Texas. Community-dwelling Mexican Americans age 65+, recruited door-to-door using a two-stage area probability sampling procedure. Montreal Cognitive Assessment (MoCA); self-reported bilingualism scale. Participants were classified as monolingual, Spanish dominant bilingual, English dominant bilingual, or balanced bilingual based upon bilingualism scale responses. Linear regressions examined relationships among bilingualism, demographics, cognitive assessment language, and MoCA scores. The analytic sample included 547 Mexican American participants (60% female). Fifty-eight percent were classified as balanced bilingual, the majority (88.6%) of whom selected assessment in English. Balanced bilinguals that completed the MoCA in English performed better than balanced bilinguals that completed the MoCA in Spanish (b = -4.0, p < 0.05). Among balanced bilinguals that took the MoCA in Spanish, education outside of the United States was associated with better performance (b = 4.4, p < 0.001). Adjusting for demographics and education, we found no association between the degree of bilingualism and MoCA performance (p's > 0.10). Bilingualism is important to consider in cognitive aging studies in linguistically diverse communities. Future research should examine whether cognitive test language selection affects cognitive measurement precision in balanced bilinguals.

Sections du résumé

BACKGROUND/OBJECTIVES
Assessment of cognition in linguistically diverse aging populations is a growing need. Bilingualism may complicate cognitive measurement precision, and bilingualism may vary across Hispanic/Latinx sub-populations. We examined the association among bilingualism, assessment language, and cognitive screening performance in a primarily non-immigrant Mexican American community.
DESIGN
Prospective, community-based cohort study: The Brain Attack Surveillance in Corpus Christi (BASIC)-Cognitive study.
SETTING
Nueces County, Texas.
PARTICIPANTS
Community-dwelling Mexican Americans age 65+, recruited door-to-door using a two-stage area probability sampling procedure.
MEASUREMENTS
Montreal Cognitive Assessment (MoCA); self-reported bilingualism scale. Participants were classified as monolingual, Spanish dominant bilingual, English dominant bilingual, or balanced bilingual based upon bilingualism scale responses. Linear regressions examined relationships among bilingualism, demographics, cognitive assessment language, and MoCA scores.
RESULTS
The analytic sample included 547 Mexican American participants (60% female). Fifty-eight percent were classified as balanced bilingual, the majority (88.6%) of whom selected assessment in English. Balanced bilinguals that completed the MoCA in English performed better than balanced bilinguals that completed the MoCA in Spanish (b = -4.0, p < 0.05). Among balanced bilinguals that took the MoCA in Spanish, education outside of the United States was associated with better performance (b = 4.4, p < 0.001). Adjusting for demographics and education, we found no association between the degree of bilingualism and MoCA performance (p's > 0.10).
CONCLUSION
Bilingualism is important to consider in cognitive aging studies in linguistically diverse communities. Future research should examine whether cognitive test language selection affects cognitive measurement precision in balanced bilinguals.

Identifiants

pubmed: 33963535
doi: 10.1111/jgs.17209
pmc: PMC8273138
mid: NIHMS1706651
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1971-1981

Subventions

Organisme : NIA NIH HHS
ID : P30 AG024824
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS100687
Pays : United States
Organisme : NIH HHS
ID : R01NS100687
Pays : United States

Informations de copyright

© 2021 The American Geriatrics Society.

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Auteurs

Emily M Briceño (EM)

Department of Physical Medicine & Rehabilitation, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.

Roshanak Mehdipanah (R)

Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.

Xavier F Gonzales (XF)

Department of Life Sciences, Texas A&M University-Corpus Christi, Corpus Christi, Texas, USA.

Steven G Heeringa (SG)

Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.

Deborah A Levine (DA)

Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.

Kenneth M Langa (KM)

Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
VA Ann Arbor Healthcare System, Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan, USA.

Daniel Zahs (D)

Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.

Nelda Garcia (N)

Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA.

Ruth Longoria (R)

Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA.

Lewis B Morgenstern (LB)

Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Center for Social Epidemiology and Population Health, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.

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