4.7 Article

Association Between Midlife Obesity and Its Metabolic Consequences, Cerebrovascular Disease, and Cognitive Decline

期刊

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 106, 期 10, 页码 E4260-E4274

出版社

ENDOCRINE SOC
DOI: 10.1210/clinem/dgab135

关键词

obesity; cerebrovascular disease; white matter hyperintensities; gray matter; cognition

资金

  1. Canadian Institutes of Health Research

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This observational cohort study of over 20,000 participants with a mean age of 63 years found that body mass index, waist-to-hip ratio, and body fat percentage were positively related to markers of systemic inflammation, dyslipidemia, hypertension, and diabetes. Hypertension and diabetes were in turn associated with cerebrovascular disease, which was linked to lower cortical thickness and volume, higher subcortical volumes, and cognitive deficits.
Context: Chronic obesity is associated with several complications, including cognitive impairment and dementia. However, we have only piecemeal knowledge of the mechanisms linking obesity to central nervous system damage. Among candidate mechanisms are other elements of obesity-associated metabolic syndrome, such as hypertension, dyslipidemia, and diabetes, but also systemic inflammation. While there have been several neuroimaging studies linking adiposity to changes in brain morphometry, a comprehensive investigation of the relationship has so far not been done. Objective: To identify links between adiposity and cognitive dysfunction. Methods: This observational cohort study (UK Biobank), with an 8-year follow-up, included more than 20 000 participants from the general community, with a mean age of 63 years. Only participants with data available on both baseline and follow-up timepoints were included. The main outcome measures were cognitive performance and mediator variables: hypertension, diabetes, systemic inflammation, dyslipidemia, gray matter measures, and cerebrovascular disease (volume of white matter hyperintensities on magnetic resonance imaging). Results: Using structural equation modeling, we found that body mass index, waist-to-hip ratio, and body fat percentage were positively related to higher plasma C-reactive protein, dyslipidemia, hypertension, and diabetes. In turn, hypertension and diabetes were related to cerebrovascular disease. Finally, cerebrovascular disease was associated with lower cortical thickness and volume and higher subcortical volumes, but also cognitive deficits (largest significant p(corrected)=0.02). Conclusions: We show that adiposity is related to poor cognition, with metabolic consequences of obesity and cerebrovascular disease as potential mediators. The outcomes have clinical implications, supporting a role for the management of adiposity in the prevention of late-life dementia and cognitive decline.

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