Association between body mass index and cortical thickness: among elderly cognitively normal men and women
- Authors
- Kim, Hojeong; Kim, Changsoo; Seo, Sang Won; Na, Duk L.; Kim, Hee Jin; Kang, Mira; Shin, Hee-Young; Cho, Seong Kyung; Park, Sang Eon; Lee, Jeongmin; Hwang, Jung Won; Jeon, Seun; Lee, Jong-Min; Kim, Geon Ha; Cho, Hanna; Ye, Byoung Seok; Noh, Young; Yoon, Cindy W.; Guallar, Eliseo
- Issue Date
- Jan-2015
- Publisher
- CAMBRIDGE UNIV PRESS
- Keywords
- cortical thickness; BMI; underweight; overweight; dementia
- Citation
- INTERNATIONAL PSYCHOGERIATRICS, v.27, no.1, pp.121 - 130
- Journal Title
- INTERNATIONAL PSYCHOGERIATRICS
- Volume
- 27
- Number
- 1
- Start Page
- 121
- End Page
- 130
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10921
- DOI
- 10.1017/S1041610214001744
- ISSN
- 1041-6102
- Abstract
- Background: There is increasing evidence of a relationship between underweight or obesity and dementia risk. Several studies have investigated the relationship between body weight and brain atrophy, a pathological change preceding dementia, but their results are inconsistent. Therefore, we aimed to evaluate the relationship between body mass index (BMI) and cortical atrophy among cognitively normal participants. Methods: We recruited cognitively normal participants (n = 1,111) who underwent medical checkups and detailed neurologic screening, including magnetic resonance imaging (MRI) in the health screening visits between September 2008 and December 2011. The main outcome was cortical thickness measured using MRI. The number of subjects with five BMI groups in men/women was 9/9, 148/258, 185/128, 149/111, and 64/50 in underweight, normal, overweight, mild obesity, and moderate to severe obesity, respectively. Linear and non-linear relationships between BMI and cortical thickness were examined using multiple linear regression analysis and generalized additive models after adjustment for potential confounders. Results: Among men, underweight participants showed significant cortical thinning in the frontal and temporal regions compared to normal weight participants, while overweight and mildly obese participants had greater cortical thicknesses in the frontal region and the frontal, temporal, and occipital regions, respectively. However, cortical thickness in each brain region was not significantly different in normal weight and moderate to severe obesity groups. Among women, the association between BMI and cortical thickness was not statistically significant. Conclusions: Our findings suggested that underweight might be an important risk factor for pathological changes in the brain, while overweight or mild obesity may be inversely associated with cortical atrophy in cognitively normal elderly males.
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