Early-Life Circumstances and Racial Disparities in Cognition Among Older Adults in the US.


Journal

JAMA internal medicine
ISSN: 2168-6114
Titre abrégé: JAMA Intern Med
Pays: United States
ID NLM: 101589534

Informations de publication

Date de publication:
28 May 2024
Historique:
medline: 28 5 2024
pubmed: 28 5 2024
entrez: 28 5 2024
Statut: aheadofprint

Résumé

Given the critical role of neurocognitive development in early life, understanding the association between early-life circumstances and racial disparities in cognition has important implications. To assess whether racial differences in early-life circumstances are collectively and individually associated with racial disparities in late-life cognition among older adults in the US. This cross-sectional study used comprehensive life history data from the Health and Retirement Study, a nationally representative survey of US adults 50 years or older. Data analyses were performed from August 9, 2022, to January 20, 2024. Racial differences in early-life circumstances and racial disparities in late-life cognition were investigated using a Blinder-Oaxaca decomposition regression model. Cognitive outcomes, including cognitive score and cognitive impairment, were evaluated using the Telephone Interview for Cognitive Status. Early-life educational experiences were primary explanatory variables; early-life cohort, regional, financial, health, trauma, family relationship factors, and educational attainment were additional explanatory variables; demographic and genetic factors were covariates. The study sample comprised 9015 participants; 1634 non-Hispanic Black (hereafter, Black) individuals (18.1%) and 7381 non-Hispanic White (hereafter, White) individuals (81.9%). Among Black participants, the mean (SD) age was 69.2 (9.2) years and 1094 (67.0%) were women. Among White participants, the mean (SD) age was 73.2 (10.1) years and 4410 (59.7%) were women. Cognitive scores (scale, 0-27) were significantly lower among Black participants (13.5 [95% CI, 13.3-13.7] points) than among White participants (15.8 [95% CI, 15.7-15.9] points), while the prevalence of cognitive impairment (cognitive score <12) was significantly higher among Black participants (33.6 [95% CI, 31.3-35.9] percentage points [ppt]) than among White participants (16.4 [95% CI, 15.6-17.2] ppt). Substantial racial differences were observed in early-life circumstances. Overall, differences in early-life circumstances were associated with 61.5% of the racial disparities in cognitive score (1.4 [95% CI, 0.88-2.0] points), and 82.3% of the racial disparities in cognitive impairment (14.2 [95% CI, 8.8-19.5] ppt), respectively. In multivariable analyses, early-life educational experiences were associated with 35.2% of the disparities in cognitive score and 48.6% in cognitive impairment. Notably, school racial segregation (all segregated schooling before college) was associated with 28.8% to 39.7% of the racial disparities in cognition. These findings were consistent in a series of sensitivity analyses. The findings of this cross-sectional study suggest that less favorable early-life circumstances are associated with clinically meaningful racial disparities in late-life cognition. Policies that improve educational equity have the potential to reduce racial disparities in cognition in older ages. Clinicians may leverage early-life circumstances to promote the screening, prevention, and interventions of cognitive impairment more efficiently, thereby promoting health equity.

Identifiants

pubmed: 38805197
pii: 2818893
doi: 10.1001/jamainternmed.2024.1132
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Zhuoer Lin (Z)

Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.

Justin Ye (J)

Department of Economics, Yale University, New Haven, Connecticut.

Heather Allore (H)

Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Yale Alzheimer's Disease Research Center, New Haven, Connecticut.
Statistical Editor, JAMA Internal Medicine .

Thomas M Gill (TM)

Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.

Xi Chen (X)

Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Department of Economics, Yale University, New Haven, Connecticut.
Yale Alzheimer's Disease Research Center, New Haven, Connecticut.

Classifications MeSH