Practical Geriatrics ›› 2023, Vol. 37 ›› Issue (2): 178-182.doi: 10.3969/j.issn.1003-9198.2023.02.017

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Associations of obesity with brain volume and cognition in elderly

CEN Yan, DOU Miao-miao, WEI Qian, LU Xiao-wei   

  1. Department of Gerontology and Neurology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
  • Received:2022-03-13 Online:2023-02-20 Published:2023-02-27
  • Contact: LU Xiao-wei, Email: njluxiaowei@163.com

Abstract: Objective To observe the relationship of obesity with brain volume and cognition in the elderly population. Methods A total of 177 patients performed with complete 3-dimensional magnetic resonance imaging in the Department of Geriatrics, the First Affiliated Hospital of Nanjing Medical University from January 2015 to December 2018 were retrospectively analyzed. Body mass index (BMI) and waist-to-hip ratio (WHR) were used to evaluate obesity. All patients were evaluated by Mini-Mental State Scale (MMSE) and divided into two groups, cognitively impaired group (n=76) and non-cognitive impaired group (n=101). Brain volume was automatically segmented into total volume, white matter volume, grey matter volume, and white matter hyperintensities (WMH )volume with CAT12 software. Clinical feature data and brain volume were compared between the two groups. The correlations of BMI and WHR with brain volume were assessed by the Pearson correlation coefficients. Logistic regression was applied to analyze the relationship of BMI and abdominal obesity with cognitive impairment. Moreover, univariate and multivariate generalized linear models were used to analyze the correlation between BMI and MMSE. Results There were significant differences in gender, education, MMSE, BMI, WHR, total brain volume, grey matter volume, and white matter volume between the two groups (P<0.05). Pearson correlation analysis showed that BMI and WHR were positively correlated with white matter volume(r=0.152, 0.235, P<0.05). Logistic regression analysis showed that overweight patients(OR=0.384,95%CI:0.189-0.778, P=0.008)and obese patients (OR=0.316,95%CI:0.134-0.747, P=0.009)had a reduced risk of cognitive impairment. The generalized linear model showed that the MMSE score of patients was significantly positively related to BMI (B=0.044, 95%CI: 0.007-0.080, P=0.019) independent of age, education, smoking and brain volume. Conclusions BMI, independent of brain volume, may have a protective effect on cognitive function in the elderly.

Key words: obesity, body mass idex, brain volume, cognitive impairment

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