Association between coffee consumption and total dietary caffeine intake with cognitive functioning: cross-sectional assessment in an elderly Mediterranean population
- PMID: 33125576
- DOI: 10.1007/s00394-020-02415-w
Association between coffee consumption and total dietary caffeine intake with cognitive functioning: cross-sectional assessment in an elderly Mediterranean population
Abstract
Purpose: Coffee is rich in compounds such as polyphenols, caffeine, diterpenes, melanoidins and trigonelline, which can stimulate brain activity. Therefore, the possible association of coffee consumption with cognition is of considerable research interest. In this paper, we assess the association of coffee consumption and total dietary caffeine intake with the risk of poor cognitive functioning in a population of elderly overweight/obese adults with metabolic syndrome (MetS).
Methods: PREDIMED-plus study participants who completed the Mini-Mental State Examination test (MMSE) (n = 6427; mean age = 65 ± 5 years) or a battery of neuropsychological tests were included in this cross-sectional analysis. Coffee consumption and total dietary caffeine intake were assessed at baseline using a food frequency questionnaire. Logistic regression models were fitted to evaluate the association between total, caffeinated and decaffeinated coffee consumption or total dietary caffeine intake and cognitive impairment.
Results: Total coffee consumers and caffeinated coffee consumers had better cognitive functioning than non-consumers when measured by the MMSE and after adjusting for potential confounders (OR 0.63; 95% CI 0.44-0.90 and OR 0.56; 95% CI 0.38-0.83, respectively). Results were similar when cognitive performance was measured using the Clock Drawing Test (CDT) and Trail Making Test B (TMT-B). These associations were not observed for decaffeinated coffee consumption. Participants in the highest tertile of total dietary caffeine intake had lower odds of poor cognitive functioning than those in the reference tertile when screened by the MMSE (OR 0.64; 95% CI 0.47-0.87) or other neurophysiological tests evaluating a variety of cognitive domains (i.e., CDT and TMT-A).
Conclusions: Coffee consumption and total dietary caffeine intake were associated with better cognitive functioning as measured by various neuropsychological tests in a Mediterranean cohort of elderly individuals with MetS.
Trial registration: ISRCTN89898870. Registration date: July 24, 2014.
Keywords: Caffeine; Coffee; Cognitive impairment; Mini-Mental State Examination; PREDIMED-plus.
© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.
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References
-
- Yates KF, Sweat V, Yau PL et al (2012) Impact of metabolic syndrome on cognition and brain. Arterioscler Thromb Vasc Biol 32:2060–2067. https://doi.org/10.1161/ATVBAHA.112.252759 - DOI - PubMed - PMC
-
- Atti AR, Valente S, Iodice A et al (2019) Metabolic syndrome, mild cognitive impairment, and dementia: a meta-analysis of longitudinal studies. Am J Geriatr Psychiatry 27:625–637. https://doi.org/10.1016/j.jagp.2019.01.214 - DOI - PubMed
-
- Solas M, Milagro FI, Ramírez MJ, Martínez JA (2017) Inflammation and gut-brain axis link obesity to cognitive dysfunction: plausible pharmacological interventions. Curr Opin Pharmacol 37:87–92. https://doi.org/10.1016/j.coph.2017.10.005 - DOI - PubMed
-
- WHO (2019) Risk reduction of cognitive decline and dementia: WHO guidelines
-
- Singh B, Parsaik AK, Mielke MM et al (2014) Association of Mediterranean diet with mild cognitive impairment and Alzheimer’s disease: a systematic review and meta-analysis. Alzheimer Dis 39:271–282. https://doi.org/10.3233/jad-130830 - DOI
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