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Differential Effects of Body Mass Index on Domain-specific Cognitive Outcomes After Stroke

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Journal Sci Rep
Specialty Science
Date 2021 Jul 9
PMID 34239011
Citations 5
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Abstract

Although the obesity paradox is an important modifiable factor in cardiovascular diseases, little research has been conducted to determine how it affects post-stroke cognitive function. We aimed to investigate the association between body mass index (BMI) and domain-specific cognitive outcomes, focusing on the subdivision of each frontal domain function in post-ischemic stroke survivors. A total of 335 ischemic stroke patients were included in the study after completion of the Korean-Mini Mental Status Examination (K-MMSE) and the vascular cognitive impairment harmonization standards neuropsychological protocol at 3 months after stroke. Frontal lobe functions were analyzed using semantic/phonemic fluency, processing speed, and mental set shifting. Our study participants were categorized into four groups according to BMI quartiles. The z-scores of K-MMSE at 3 months differed significantly between the groups after adjustment for initial stroke severity (p = 0.014). Global cognitive function in stroke survivors in the Q1 (the lowest quartile) BMI group was significantly lower than those in Q2 and Q4 (the highest quartile) BMI groups (K-MMSE z-scores, Q1: - 2.10 ± 3.40 vs. Q2: 0.71 ± 1.95 and Q4: - 1.21 ± 1.65). Controlled oral word association test findings indicated that phonemic and semantic word fluency was lower in Q4 BMI group participants than in Q2 BMI group participants (p = 0.016 and p = 0.023 respectively). BMI might differentially affect cognitive domains after ischemic stroke. Although being underweight may negatively affect global cognition post-stroke, obesity could induce frontal lobe dysfunctions, specifically phonemic and semantic word fluency.

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References
1.
Tang B . Leptin as a neuroprotective agent. Biochem Biophys Res Commun. 2008; 368(2):181-5. DOI: 10.1016/j.bbrc.2008.01.063. View

2.
Taylor-Rowan M, Keir R, Cuthbertson G, Shaw R, Drozdowska B, Elliott E . Pre-Stroke Frailty Is Independently Associated With Post-Stroke Cognition: A Cross-Sectional Study. J Int Neuropsychol Soc. 2019; 25(5):501-506. DOI: 10.1017/S1355617719000092. View

3.
Coin A, Veronese N, De Rui M, Mosele M, Bolzetta F, Girardi A . Nutritional predictors of cognitive impairment severity in demented elderly patients: the key role of BMI. J Nutr Health Aging. 2012; 16(6):553-6. DOI: 10.1007/s12603-012-0052-x. View

4.
Pendlebury S, Rothwell P . Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol. 2009; 8(11):1006-18. DOI: 10.1016/S1474-4422(09)70236-4. View

5.
Volkow N, Wang G, Telang F, Fowler J, Goldstein R, Alia-Klein N . Inverse association between BMI and prefrontal metabolic activity in healthy adults. Obesity (Silver Spring). 2008; 17(1):60-5. PMC: 2681079. DOI: 10.1038/oby.2008.469. View