The mediating effect of BMI on the association between gender and domain specific cognition in a diverse cohort of individuals 80+

Abstract Background Gender differences are often associated with specific cognitive domains. Additionally, gender may be associated with BMI through biological and social differences. We evaluated if mid‐life BMI mediated the effect of gender on domain specific cognition in an ethnoracially diverse population of individuals 80+. Method Data from three ongoing cohort studies, LifeAfter90, Kaiser Healthy Aging and Diverse Life Experiences, and Study of Healthy Aging in African Americans, was pooled to include participants aged 80+ (n = 671). Baseline verbal episodic memory (VEM), executive function (EF), and semantic memory (SM) were measured using the z‐standardized Spanish English Neuropsychological Assessment Scales. Mid‐life BMI was categorized as normal (18.5‐24.9 kg/m 2 ), overweight (25‐29.9 kg/m 2 ), and obese (30 kg/m 2 ) using the first clinical measurement at ages 40‐60. Structural equation models were used to estimate the indirect effect (IDE) of mid‐life BMI category on the association between gender and cognition adjusting for age at baseline cognitive assessment, age at BMI measurement, racial/ethnic identity, and education. Result Participants were 37% male, 17% Asian, 35% Black, 12% Latino, 33% White, 3% other racial/ethnic group with a mean age of 88.5±5.3 at baseline cognitive assessment and a mean age at mid‐life BMI measure of 44.6±4.3 years (table 1). Midlife obesity (9%) and overweight (31%) were common. The total effect of gender (ref = women) on each cognitive domain was significant (VEM: ‐0.19, p < 0.001; EF: ‐0.12, p = 0.001; SM: 0.202, p < 0.001). Five percent (p‐value = 0.07) of the association between gender and VEM was explained by BMI category (IDE (β = ‐0.01; p‐value = 0.06) divided by total effect (β = ‐0.19; (p‐value<0.001); Figure 1). BMI did not mediate the association between gender and SM (β(IDE) = ‐0.003;p‐value = 0.29) or between gender and EF (β(IDE) = ‐0.005; p‐value = 0.19). Conclusion In this ethnoracially diverse population of individuals aged 80+, mid‐life BMI marginally mediated the association between gender and baseline VEM, while it did not mediate the associations with EF and SM. Additionally, men had lower EF and VEM but higher SM compared to women. The effect of mid‐life BMI on the association between gender and cognition may vary by cognitive domain, suggesting that mid‐life BMI may impact specific late‐life cognitive functions that are associated with VEM.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.092621
Primary Topic
Aging and Gerontology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The mediating effect of BMI on the association between gender and domain specific cognition in a diverse cohort of individuals 80+

M. Maria Glymour, Brandon E. Gavett, Kristen M. George, Joseph A. Roscoe et al.
Alzheimer s & Dementia
Aging and Gerontology Research
article

The mediating effect of BMI on the association between gender and domain specific cognition in a diverse cohort of individuals 80+

M. Maria Glymour, Brandon E. Gavett, Kristen M. George, Joseph A. Roscoe, María M. Corrada, Claire C. Meunier, Alexander Ivan B. Posis, Rachel A. Whitmer, Elizabeth Rose Mayeda, Paola Gilsanz
article en

Abstract

Abstract Background Gender differences are often associated with specific cognitive domains. Additionally, gender may be associated with BMI through biological and social differences. We evaluated if mid‐life BMI mediated the effect of gender on domain specific cognition in an ethnoracially diverse population of individuals 80+. Method Data from three ongoing cohort studies, LifeAfter90, Kaiser Healthy Aging and Diverse Life Experiences, and Study of Healthy Aging in African Americans, was pooled to include participants aged 80+ (n = 671). Baseline verbal episodic memory (VEM), executive function (EF), and semantic memory (SM) were measured using the z‐standardized Spanish English Neuropsychological Assessment Scales. Mid‐life BMI was categorized as normal (18.5‐24.9 kg/m 2 ), overweight (25‐29.9 kg/m 2 ), and obese (30 kg/m 2 ) using the first clinical measurement at ages 40‐60. Structural equation models were used to estimate the indirect effect (IDE) of mid‐life BMI category on the association between gender and cognition adjusting for age at baseline cognitive assessment, age at BMI measurement, racial/ethnic identity, and education. Result Participants were 37% male, 17% Asian, 35% Black, 12% Latino, 33% White, 3% other racial/ethnic group with a mean age of 88.5±5.3 at baseline cognitive assessment and a mean age at mid‐life BMI measure of 44.6±4.3 years (table 1). Midlife obesity (9%) and overweight (31%) were common. The total effect of gender (ref = women) on each cognitive domain was significant (VEM: ‐0.19, p < 0.001; EF: ‐0.12, p = 0.001; SM: 0.202, p < 0.001). Five percent (p‐value = 0.07) of the association between gender and VEM was explained by BMI category (IDE (β = ‐0.01; p‐value = 0.06) divided by total effect (β = ‐0.19; (p‐value<0.001); Figure 1). BMI did not mediate the association between gender and SM (β(IDE) = ‐0.003;p‐value = 0.29) or between gender and EF (β(IDE) = ‐0.005; p‐value = 0.19). Conclusion In this ethnoracially diverse population of individuals aged 80+, mid‐life BMI marginally mediated the association between gender and baseline VEM, while it did not mediate the associations with EF and SM. Additionally, men had lower EF and VEM but higher SM compared to women. The effect of mid‐life BMI on the association between gender and cognition may vary by cognitive domain, suggesting that mid‐life BMI may impact specific late‐life cognitive functions that are associated with VEM.

Alzheimer s & DementiaVol. 20(S7)
Boston University (US), Kaiser Permanente (US), University of California, Los Angeles (US), University of California, Irvine (US), Fielding Graduate University (US), University of California, Davis (US)
Openalex Percentile: Top 68%
Aging and Gerontology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.