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Body Mass Index, Waist-to-hip Ratio and Cognitive Function Among Chinese Elderly: a Cross-sectional Study

Overview
Journal BMJ Open
Specialty General Medicine
Date 2018 Oct 21
PMID 30341119
Citations 18
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Abstract

Objectives: To investigate the associations between body mass index (BMI), waist-to-hip ratio (WHR) and cognitive function among Chinese elderly.

Design: Cross-sectional study.

Setting: Community.

Participants: Data were obtained from the baseline survey of a community-based cohort in Zhejiang Province, and 9326 persons aged 60 years and older were enrolled.

Primary Outcome Measures: We investigated the association between BMI and cognition, and then explored the association between WHR and cognition across different quartiles of BMI.

Results: A sample of 9087 persons was used in this study, including 4375 men and 4712 women. Higher WHR increased cognitive impairment risk in those with BMI >25.3 kg/m (OR (per 0.1 increase) 1.39; 95% CI 1.13 to 1.70). No statistically significant association was found in other BMI categories.

Conclusions: Higher WHR could increase the risk of cognitive impairment among elderly with BMI >25.3 kg/m. Our results suggest that it could be of benefit to the elderly with high BMI to control WHR.

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References
1.
Tolppanen A, Ngandu T, Kareholt I, Laatikainen T, Rusanen M, Soininen H . Midlife and late-life body mass index and late-life dementia: results from a prospective population-based cohort. J Alzheimers Dis. 2013; 38(1):201-9. DOI: 10.3233/JAD-130698. View

2.
Kroenke K, Spitzer R, Williams J . The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001; 16(9):606-13. PMC: 1495268. DOI: 10.1046/j.1525-1497.2001.016009606.x. View

3.
Monda V, La Marra M, Perrella R, Caviglia G, Iavarone A, Chieffi S . Obesity and brain illness: from cognitive and psychological evidences to obesity paradox. Diabetes Metab Syndr Obes. 2017; 10:473-479. PMC: 5701608. DOI: 10.2147/DMSO.S148392. View

4.
Villareal D, Apovian C, Kushner R, Klein S . Obesity in older adults: technical review and position statement of the American Society for Nutrition and NAASO, The Obesity Society. Am J Clin Nutr. 2005; 82(5):923-34. DOI: 10.1093/ajcn/82.5.923. View

5.
Nie H, Xu Y, Liu B, Zhang Y, Lei T, Hui X . The prevalence of mild cognitive impairment about elderly population in China: a meta-analysis. Int J Geriatr Psychiatry. 2010; 26(6):558-63. DOI: 10.1002/gps.2579. View