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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

Time away from work predicts later cognitive function: differences by activity during leave.

Anja K Leist1, M Maria Glymour, Johan P Mackenbach

  • 1Faculty of Language and Literature, Humanities, Arts and Education, University of Luxembourg, Walferdange, Luxembourg. anja.leist@uni.lu

Annals of Epidemiology
|July 30, 2013
PubMed
Summary
This summary is machine-generated.

Employment gaps due to unemployment or sickness are linked to lower cognitive function. Conversely, training or maternity leave during work absences are associated with better late-life cognitive function.

Keywords:
CognitionCognitive reserveEmployment status

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Published on: September 20, 2020

Area of Science:

  • Cognitive neuroscience
  • Gerontology
  • Sociology of work

Background:

  • Employment gaps are common and may influence cognitive health.
  • Understanding the impact of different reasons for work absence on cognition is crucial for public health.

Purpose of the Study:

  • To investigate the association between various reasons for employment gaps and cognitive function.
  • To examine how these associations impact cognitive change over time.

Main Methods:

  • Analysis of data from 18,259 participants (ages 50-73) in the Survey of Health, Ageing, and Retirement in Europe.
  • Identification of employment gaps (≥6 months) using complete employment histories.
  • Assessment of cognitive function using five measures.

Main Results:

  • Unemployment and sickness-related employment gaps were associated with a higher risk of cognitive impairment.
  • Training and maternity leave were linked to a lower risk of cognitive impairment.
  • Training and maternity leave were associated with reduced cognitive decline over two years.

Conclusions:

  • Reasons for employment gaps significantly impact late-life cognitive function.
  • Unemployment and sickness may negatively affect cognition, while training and maternity leave may be protective.
  • Both causal and selection factors may underlie these observed associations.