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Table 6 Associations between abdominal circumference change and global WMHV, β-amyloid status and brain volumes at age 71

From: Investigating the relationship between BMI across adulthood and late life brain pathologies

 

Relative change in WMHV (95% CI)

β-amyloid adjusted OR (95% CI)

WBV β coefficient (95% CI)

Mean HV β coefficient (95% CI)

Model 2(c)

Model 2(c)

Model 2(c)

Model 2(c)

36–43 years

WMHV: Model 2: n = 390

Amyloid: Model 2: n = 391

WBV/HV: Model 2: n = 382

0.98 (0.89, 1.09)

0.95 (0.72, 1.26)

1.4 (− 3.2, 5.9)

0.006 (− 0.023, 0.035)

43–53 years

WMHV: Model 2: n = 391

Amyloid: Model 2: n = 391

WBV/HV: Model 2: n = 383

0.96 (0.86, 1.08)

0.89 (0.67, 1.17)

−1.4 (− 6.0, 3.3)

− 0.013 (− 0.042, 0.017)

53–60/64 years

WMHV: Model 2: n = 394

Amyloid: Model 2: n = 395

WBV/HV: Model 2: n = 386

1.01 (0.90, 1.13)

0.84 (0.63, 1.10)

− 1.7 (− 6.3, 2.9)

0.007 (− 0.022, 0.036)

60/64–69 years

WMHV: Model 2: n = 395

Amyloid: Model 2: n = 396

WBV/HV: Model 2: n = 387

1.00 (0.89, 1.12)

0.95 (0.73, 1.25)

− 6.0 (− 10.5, − 1.5)

− 0.013 (− 0.042, 0.016)

  1. WMHV coefficients represent the relative change in mean WMHV per 1 SD increase in the expected AC change across each time-interval using GLM. Adjusted amyloid ORs are quoted per 1 SD increase in the expected BMI change from logistic regression models. Brain volume β coefficients represent the change in brain volume (ml) per 1 SD increase in the expected AC change from linear regression models. Associations significant at p < 0.05 are highlighted in bold. Results are similar across models and therefore only results for fully-adjusted model 2(c) are presented. Model 2(c) analyses examine each change variable separately and adjust for sex, TIV, scanning age, contemporaneous SBP, DM, hypercholesterolaemia, adult SEP, smoking (WMHV models) and β-amyloid status and global WMHV (brain volume analyses). β-amyloid model 2(c) analyses examine each change variable separately and adjust for sex, contemporaneous SBP and APOE-ε4 status. AC abdominal circumference, CI confidence interval, DM diabetes mellitus, GLM generalised linear model, HV hippocampal volume, OR odds ratio, SBP systolic blood pressure, SD standard deviation, SEP socioeconomic position, TIV total intracranial volume, WBV whole brain volume, WMHV white matter hyperintensity volume