Body Mass Index Predicts Progression of Mild Cognitive Impairment to Dementia

Dement Geriatr Cogn Disord. 2016;41(3-4):172-80. doi: 10.1159/000444216. Epub 2016 Mar 31.

Abstract

Aims: To examine the relationship between body mass index (BMI) and progression to dementia and Alzheimer's disease (AD) in mild cognitive impairment (MCI).

Materials and methods: Two hundred and twenty-eight MCI subjects (mean age 74.04 ± 6.94 years; 57% female) from a memory clinic were followed for 2.40 ± 1.58 years. Baseline height and weight were used to calculate the BMI. The main outcome was progression to dementia (DSM-IV criteria) and AD (NINCDS-ADRDA criteria). Cox proportional hazard models were used to assess the longitudinal association of BMI with dementia and AD, adjusting for a comprehensive set of covariates, including vascular risk factors/diseases and neuroimaging profiles.

Results: Out of 228 subjects with MCI, 117 (51.3%) progressed to dementia. Eighty-nine (76%) of the incident dementia cases had AD. In both unadjusted and multi-adjusted models, a higher BMI was associated with a reduced risk of dementia (multi-adjusted HR 0.9; 95% CI 0.8-0.9) and AD (multi-adjusted HR 0.9; 95% CI 0.8-0.9). Being underweight increased the risk of all types of dementia (multi-adjusted HR 2.5; 95% CI 1.2-5.1) but was not specifically associated with AD (multi-adjusted HR 2.2; 95% CI 0.9-5.3).

Conclusions: BMI predicted progression of MCI to dementia and AD. In particular, a higher BMI was associated with a lower risk of dementia and AD, and underweight was associated with a higher risk of dementia. BMI assessment may improve the prognostic accuracy of MCI in clinical practice.

MeSH terms

  • Aged
  • Alzheimer Disease / epidemiology*
  • Body Mass Index
  • Cognitive Dysfunction / complications*
  • Cognitive Dysfunction / psychology
  • Dementia / complications
  • Dementia / epidemiology*
  • Dementia / psychology
  • Diagnostic and Statistical Manual of Mental Disorders
  • Disease Progression
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Prognosis
  • Proportional Hazards Models