2024
DOI: 10.1186/s12967-024-04969-3
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Association between dietary vitamin B1 intake and cognitive function among older adults: a cross-sectional study

Weiai Jia,
Hemei Wang,
Chao Li
et al.

Abstract: Background This study aims to investigate the relationship between vitamin B1 intake and cognitive function in older adults. Methods This cross-sectional observational study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. A total of 2422 participants were included in the analysis, with dietary vitamin B1 intake being determined by averaging two 24-h dietary recalls. Cognitive function was assessed using t… Show more

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Cited by 8 publications
(3 citation statements)
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“…This topic of neurocognitive changes in neurological patients who received these drugs/supplements also chosen for our patients is a topic that has captivated the interest of many researchers. Some studies proved the beneficial effect of Vitamin B1 on cognitive recovery in elders [63,64] and the impact of Cerebrolysin in the recovery of patients after neurological damage [35][36][37]46]. According to a couple of studies from the current literature, nutritional techniques or supplements may improve cognitive function, despite many unknown biochemical mechanisms [65][66][67].…”
Section: Discussionmentioning
confidence: 99%
“…This topic of neurocognitive changes in neurological patients who received these drugs/supplements also chosen for our patients is a topic that has captivated the interest of many researchers. Some studies proved the beneficial effect of Vitamin B1 on cognitive recovery in elders [63,64] and the impact of Cerebrolysin in the recovery of patients after neurological damage [35][36][37]46]. According to a couple of studies from the current literature, nutritional techniques or supplements may improve cognitive function, despite many unknown biochemical mechanisms [65][66][67].…”
Section: Discussionmentioning
confidence: 99%
“…In our study, a meticulously curated set of covariates was employed to mitigate potential confounding influences on the relationship between PA and CF, grounded on insights from prior research literature (Jia et al, 2024 ; Ren et al, 2024 ; Zuo et al, 2024 ). These covariates included critical demographic attributes such as gender, race, age, and educational attainment, alongside socio-economic indicators exemplified by the Poverty Income Ratio (PIR).…”
Section: Methodsmentioning
confidence: 99%
“…In our study, we conscientiously incorporated a selection of covariates to control for potential confounding effects on the association between PA and CF ( Jia et al, 2024 ; Wang X L, et al, 2024 ). These covariates encompassed key demographic factors (gender, race, age, education level), socio-economic status (Poverty Income Ratio, PIR), health and lifestyle indicators (body mass index, BMI; alcohol consumption frequency; waist circumference; sleep disorders), and health conditions (smoking status, diabetes, depressive symptoms).…”
Section: Methodsmentioning
confidence: 99%