2021
DOI: 10.1002/alz.12367
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Body mass index in early adulthood and dementia in late life: Findings from a pooled cohort

Abstract: Introduction:To examine the independent association of body mass index (BMI) in early adulthood with dementia incidence among men and women. Methods:We studied 5104 older adults from the Cardiovascular Health Study (CHS) and the Health, Aging, and Body Composition (Health ABC) study. We imputed early adulthood and midlife BMI using a pooled parent cohort with complete adult lifespan coverage and previously established methods. Dementia was ascertained using criteria such as neuropsychological test battery, med… Show more

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Cited by 20 publications
(13 citation statements)
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“…The association between midlife BMI with cognition and risk of dementia is well established, 1 and evidence is emerging that higher BMI during early adulthood can increase the risk for dementia 18 . Several mechanisms may underlie the BMI–cognition link.…”
Section: Discussionmentioning
confidence: 99%
“…The association between midlife BMI with cognition and risk of dementia is well established, 1 and evidence is emerging that higher BMI during early adulthood can increase the risk for dementia 18 . Several mechanisms may underlie the BMI–cognition link.…”
Section: Discussionmentioning
confidence: 99%
“…[31] Therefore, a BMI outside the normal range is correlated with dementia and cognitive impairment in older men and women. [32–34]…”
Section: Resultsmentioning
confidence: 99%
“…[31] Therefore, a BMI outside the normal range is correlated with dementia and cognitive impairment in older men and women. [32][33][34] 3.1.4. Eat a balanced, rainbow, mediterranean, DASH, and/or mind diet.…”
Section: Physical Health Promotion With Dementia Preventionmentioning
confidence: 99%
“…A small number of initiatives have pooled studies from across the life course to create synthetic cohorts. [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] Within this literature, limited attention has been paid to the causal conditions under which unbiased effect estimation from synthetic cohorts is achievable. 21 Recent work on the "data fusion" problem provides a formal causal inference framework for pooling heterogeneous data sets, [22][23][24][25] focused on transporting models from one population to another.…”
Section: Introductionmentioning
confidence: 99%