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Related Experiment Video

Updated: Jun 15, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
10:13

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Caffeine, cognition, and socioeconomic status.

Janet Kyle1, Helen C Fox, Lawrence J Whalley

  • 1School of Medicine & Dentistry, Division of Applied Health Sciences, Foresterhill, University of Aberdeen, Aberdeen, UK.

Journal of Alzheimer'S Disease : JAD
|February 26, 2010
PubMed
Summary

Caffeine intake did not show cognitive benefits for individuals at risk for Alzheimer's disease (AD). Socioeconomic status, not caffeine, was linked to cognitive performance, suggesting potential withdrawal effects during testing.

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Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
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Last Updated: Jun 15, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
10:13

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Published on: February 14, 2014

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Area of Science:

  • Neuroscience
  • Gerontology
  • Public Health

Background:

  • Growing interest in environmental risk factors for Alzheimer's disease (AD) and age-related cognitive decline.
  • Focus on individual differences in exposure to agents that may impact cognitive function.
  • Caffeine's known stimulant properties and potential protective effects against cognitive decline and AD.

Purpose of the Study:

  • To examine cognitive function in a sample at increased risk for AD (n=351, MMSE>25).
  • To investigate the relationship between cognitive function, self-reported caffeine intake, and socioeconomic status (SES).
  • To control for potential confounders including gender, childhood intelligence, education, and mental health symptoms.

Main Methods:

  • Cross-sectional study of 351 participants without dementia in an age group at higher risk for AD.
  • Assessment of cognitive function using standard tests, including digit symbol speed.
  • Collection of self-reported data on caffeine intake, socioeconomic status (SES), and potential confounding variables.

Main Results:

  • Significant differences in caffeine intake and cognitive performance were observed between socioeconomic status (SES) groups.
  • Initial association between higher caffeine intake quartiles and slower digit symbol speed was found (p<0.02).
  • This association was eliminated after accounting for SES, indicating no independent effect of caffeine.

Conclusions:

  • No evidence was found to support a cognitive-enhancing effect of caffeine in this population.
  • Strong links between socioeconomic status (SES) and cognitive performance were identified.
  • Potential caffeine withdrawal effects during cognitive testing may influence results.