Literature DB >> 30012055

Working memory in older adults declines with age, but is modulated by sex and education.

Christos Pliatsikas1, João Veríssimo2, Laura Babcock3, Mariel Y Pullman4, Dana A Glei5, Maxine Weinstein5, Noreen Goldman6, Michael T Ullman7.   

Abstract

Working memory (WM), which underlies the temporary storage and manipulation of information, is critical for multiple aspects of cognition and everyday life. Nevertheless, research examining WM specifically in older adults remains limited, despite the global rapid increase in human life expectancy. We examined WM in a large sample ( N = 754) of healthy older adults (aged 58-89) in a non-Western population (Chinese speakers) in Taiwan, on a digit n-back task. We tested not only the influence of age itself and of load (1-back vs. 2-back) but also the effects of both sex and education, which have been shown to modulate WM abilities. Mixed-effects regression revealed that, within older adulthood, age negatively impacted WM abilities (with linear, not nonlinear, effects), as did load (worse performance at 2-back). In contrast, education level was positively associated with WM. Moreover, both age and education interacted with sex. With increasing age, males showed a steeper WM decline than females; with increasing education, females showed greater WM gains than males. Together with other findings, the evidence suggests that age, sex, and education all impact WM in older adults, but interact in particular ways. The results have both basic research and translational implications and are consistent with particular benefits from increased education for women.

Entities:  

Keywords:  back; Ageing; education; sex differences; working memory

Year:  2018        PMID: 30012055     DOI: 10.1177/1747021818791994

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN: 1747-0218            Impact factor:   2.143


  11 in total

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2.  Early-life education may help bolster declarative memory in old age, especially for women.

Authors:  Jana Reifegerste; João Veríssimo; Michael D Rugg; Mariel Y Pullman; Laura Babcock; Dana A Glei; Maxine Weinstein; Noreen Goldman; Michael T Ullman
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3.  Feasibility and Psychometric Integrity of Mobile Phone-Based Intensive Measurement of Cognition in Older Adults.

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4.  Effects of Combined Resistance and Power Training on Cognitive Function in Older Women: A Randomized Controlled Trial.

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5.  Neural and Behavioral Effects of an Adaptive Online Verbal Working Memory Training in Healthy Middle-Aged Adults.

Authors:  Mónica Emch; Isabelle Ripp; Qiong Wu; Igor Yakushev; Kathrin Koch
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6.  Cognition across the Lifespan: Investigating Age, Sex, and Other Sociodemographic Influences.

Authors:  Emily S Nichols; Conor J Wild; Adrian M Owen; Andrea Soddu
Journal:  Behav Sci (Basel)       Date:  2021-04-13

7.  Effect of food insecurity on the cognitive problems among elderly in India.

Authors:  Shubham Kumar; Anjali Bansal; Neha Shri; Nayan Jyoti Nath; Divya Dosaya
Journal:  BMC Geriatr       Date:  2021-12-18       Impact factor: 3.921

8.  Cognitive and contextual factors modulating grammar learning at older ages.

Authors:  Marta Rivera; Daniela Paolieri; Antonio Iniesta; Teresa Bajo
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9.  Apolipoprotein E, cognitive function, and cognitive decline among older Taiwanese adults.

Authors:  Megan Todd; Lisa Schneper; Sarinnapha M Vasunilashorn; Daniel Notterman; Michael T Ullman; Noreen Goldman
Journal:  PLoS One       Date:  2018-10-19       Impact factor: 3.240

10.  N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors.

Authors:  Mahsa Alizadeh Shalchy; Valentina Pergher; Anja Pahor; Marc M Van Hulle; Aaron R Seitz
Journal:  Front Hum Neurosci       Date:  2020-10-28       Impact factor: 3.169

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