Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Feb 5;92(6):e594-e600.
doi: 10.1212/WNL.0000000000006879. Epub 2019 Jan 9.

Association of body mass index and waist-to-hip ratio with brain structure: UK Biobank study

Affiliations

Association of body mass index and waist-to-hip ratio with brain structure: UK Biobank study

Mark Hamer et al. Neurology. .

Abstract

Objective: To examine the association of body mass index (BMI) and waist-to-hip ratio (WHR) with brain volume.

Methods: We used cross-sectional data from the UK Biobank study (n = 9,652, age 55.4 ± 7.5 years, 47.9% men). Measures included BMI, WHR, and total fat mass as ascertained from bioimpedance. Brain images were produced with structural MRI.

Results: After adjustment for a range of covariates, higher levels of all obesity measures were related to lower gray matter volume: BMI per 1 SD (β coefficient -4,113, 95% confidence interval [CI] -4,862 to -3,364), WHR (β coefficient -4,272, 95% CI -5,280 to -3,264), and fat mass (β coefficient -4,590, 95% CI -5,386 to -3,793). The combination of overall obesity (BMI ≥30 kg/m2) and central obesity (WHR >0.85 for women, >0.90 for men) was associated with the lowest gray matter compared with that in lean adults. In hypothesis-free testing with a Bonferroni correction, obesity was also related to various regional brain volumes, including caudate, putamen, pallidum, and nucleus accumbens. No associations between obesity and white matter were apparent.

Conclusion: The combination of heightened BMI and WHR may be an important risk factor for gray matter atrophy.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Flowchart describing sample selection
Figure 2
Figure 2. Association between body mass index and gray matter volume relative to age
Data are presented as means adjusted for age, sex, smoking, vigorous physical activity, alcohol, education, major depression, heart disease, and hypertension.
Figure 3
Figure 3. Body mass index and waist-to-hip in relation to gray matter brain volume
Data are presented as means adjusted for age, sex, smoking, vigorous physical activity, alcohol, education, major depression, heart disease, and hypertension.

References

    1. Beydoun MA, Beydoun HA, Wang Y. Obesity and central obesity as risk factors for incident dementia and its subtypes: a systematic review and meta-analysis. Obes Rev 2008;9:204–218. - PMC - PubMed
    1. Anstey KJ, Cherbuin N, Budge M, Young J. Body mass index in midlife and late-life as a risk factor for dementia: a meta-analysis of prospective studies. Obes Rev 2011;12:e426–e437. - PubMed
    1. Emmerzaal TL, Kiliaan AJ, Gustafson DR. 2003-2013: A decade of body mass index, Alzheimer's disease, and dementia. J Alzheimers Dis 2015;43:739–755. - PubMed
    1. Qizilbash N, Gregson J, Johnson ME, et al. . BMI and risk of dementia in two million people over two decades: a retrospective cohort study. Lancet Diabetes Endocrinol 2015;3:431–436. - PubMed
    1. Batty GD, Galobardes B, Starr JM, Jeffreys M, Davey Smith G, Russ TC. Examining if being overweight really confers protection against dementia: sixty-four year follow-up of participants in the Glasgow University Alumni Cohort Study. J Negat Results Biomed 2016;15:19. - PMC - PubMed

Publication types

MeSH terms