2020
DOI: 10.18632/aging.103209
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Body mass index across adult life and cognitive function in the American elderly

Abstract: This study aimed to examine the associations of body mass index (BMI) across adult life with cognitive function in 2,637 participants aged 60 years or over from NHANES 2011-2014. The primary outcome was a composite score based on test scores on word list learning, animal naming, and digit symbol substitution. Exposures of interest included BMI at age 25, BMI 10 years before the survey, BMI at the survey (current BMI), and BMI burden calculated from age 25 to age at survey. BMI at age 25 was inversely associate… Show more

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Cited by 9 publications
(5 citation statements)
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“…21 This may at least in part be due to the high proportion of elderly patients in the Italian cohort; performance on cognitive tests that require rapid processing of information, such as the DSST, tends to decline with age. 50 Obesity has also been shown to be associated with cognitive impairment, [51][52][53] and over half of all patients in this patient cohort were considered overweight or obese. Nevertheless, the LS mean change in…”
Section: Discussionmentioning
confidence: 92%
“…21 This may at least in part be due to the high proportion of elderly patients in the Italian cohort; performance on cognitive tests that require rapid processing of information, such as the DSST, tends to decline with age. 50 Obesity has also been shown to be associated with cognitive impairment, [51][52][53] and over half of all patients in this patient cohort were considered overweight or obese. Nevertheless, the LS mean change in…”
Section: Discussionmentioning
confidence: 92%
“…This study found that the dry weight, lean8 tissue index, muscle mass, and albumin in the cognitive impairment group were lower than those in the normal cognitive function group, suggesting that malnutrition is related to cognitive impairment in MHD patients. Kim et al found that the decline of BMI is an independent risk factor for the sharp decline of cognitive function and a predictor of the progress of cognitive impairment [ 29 , 30 ]. In this study, BMI before and after dialysis is related to the risk of cognitive impairment in MHD patients, but after adjusting for other risk factors, the morbidity risk of cognitive impairment in patients with BMI and MHD before and after dialysis is not statistically significant, which is different from the above research results.…”
Section: Discussionmentioning
confidence: 99%
“…Model 3 further adjusted for smoking status, alcohol consumption, work activity, recreational activities, BMI, Mediterranean Diet score, selfreported physician diagnosis of prediabetes or diabetes, self-reported physician diagnosis of coronary heart disease, self-reported physician diagnosis of high blood pressure, and selfreported physician diagnosis of stroke. Covariates were selected based on previous research showing potential association between these covariates and exposure and/or outcomes (6,16,17,(24)(25)(26)(27). There were no indications of multicollinearity in adjusted regression models (i.e., variance inflation factor ≤2.5 and tolerance >0.2), and model assumptions were tested using residual analyses (e.g., residual histograms and quantile-quantile plots).…”
Section: Discussionmentioning
confidence: 99%