Literature DB >> 33582279

Cumulative employment intensity and complexity across the life course and cognitive function in later life among European women and men.

Karra Greenberg1, Sarah Burgard2.   

Abstract

PURPOSE: Relatively little is known about how working-age life course cumulative exposure to employment intensity and job complexity informs older-age cognitive function. We investigate these associations, separately for men and women, and net of known confounders.
METHODS: Using retrospective lifetime employment histories of Europeans born 1923-1959 (2004-2009, N = 22 266), we calculate cumulative working-age exposure to nonemployment, full-time and part-time employment, and a professional occupation. In gender-stratified linear regression models, these indicators predict cognitive function score based on the DemTect scale and Mini Mental State Exam.
RESULTS: Nonemployment ≥25% of the working life course was associated with poorer cognitive function for men by -0.43 points (95% CI = -0.79, -0.06) on a 19-point scale. Women's full-time employment, even if <25% of the working lifetime, was associated with a cognitive advantage over never-employment by 0.60 points (95% CI = 0.17, 1.02). Compared to predominantly nonprofessionally employed men, those working professionally for ≥75% of the life course had better cognition by 0.38 points (95% CI = 0.16, 0.60).
CONCLUSIONS: This paper provides novel evidence that older-age cognitive functioning is associated with cumulative exposure to both employment intensity and complexity, but that these relationships vary by sex.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cognitive reserve; employment; life history; men's health; women's health

Mesh:

Year:  2021        PMID: 33582279      PMCID: PMC8513811          DOI: 10.1016/j.annepidem.2021.01.006

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   6.996


  19 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

2.  Retirement and cognitive decline. A longitudinal analysis using SHARE data.

Authors:  Martina Celidoni; Chiara Dal Bianco; Guglielmo Weber
Journal:  J Health Econ       Date:  2017-09-23       Impact factor: 3.883

3.  Unemployment and cognitive difficulties.

Authors:  D Fryer; P Warr
Journal:  Br J Clin Psychol       Date:  1984-02

4.  Occupational cognitive requirements and late-life cognitive aging.

Authors:  Lindsay R Pool; Jennifer Weuve; Robert S Wilson; Ute Bültmann; Denis A Evans; Carlos F Mendes de Leon
Journal:  Neurology       Date:  2016-03-16       Impact factor: 9.910

5.  Employment trajectories in midlife and cognitive performance in later life: longitudinal study of older American men and women.

Authors:  Lindsay C Kobayashi; Justin Michael Feldman
Journal:  J Epidemiol Community Health       Date:  2018-11-23       Impact factor: 3.710

Review 6.  Cognitive reserve in ageing and Alzheimer's disease.

Authors:  Yaakov Stern
Journal:  Lancet Neurol       Date:  2012-11       Impact factor: 44.182

7.  Complexity of primary lifetime occupation and cognition in advanced old age.

Authors:  Ross Andel; Ingemar Kåreholt; Marti G Parker; Mats Thorslund; Margaret Gatz
Journal:  J Aging Health       Date:  2007-06

8.  Women's Work-Family Histories and Cognitive Performance in Later Life.

Authors:  Erin Ice; Shannon Ang; Karra Greenberg; Sarah Burgard
Journal:  Am J Epidemiol       Date:  2020-03-27       Impact factor: 4.897

9.  Occupational complexity and lifetime cognitive abilities.

Authors:  Emily L Smart; Alan J Gow; Ian J Deary
Journal:  Neurology       Date:  2014-11-19       Impact factor: 9.910

10.  Effect of Retirement on Cognition: Evidence From the Irish Marriage Bar.

Authors:  Irene Mosca; Robert E Wright
Journal:  Demography       Date:  2018-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.