Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?

Abstract Objectives To investigate the course of activities of daily living (IADL) functioning and possible predictors of performance changes in healthy older adults conducting either a General Cognitive Training (GCT) or a Reasoning Cognitive Training (ReaCT) or no training (control group, CG) over...

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Autores principales:	Mandy Roheger, Elke Kalbe, Anne Corbett, Helen Brooker, Clive Ballard
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	healthy older adults prediction reasoning cognitive training Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/5644b1fc329e4bac88ed8ee5d51bfb9c
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spelling	oai:doaj.org-article:5644b1fc329e4bac88ed8ee5d51bfb9c2021-11-25T06:06:36ZPredictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?2162-327910.1002/brb3.2388https://doaj.org/article/5644b1fc329e4bac88ed8ee5d51bfb9c2021-11-01T00:00:00Zhttps://doi.org/10.1002/brb3.2388https://doaj.org/toc/2162-3279Abstract Objectives To investigate the course of activities of daily living (IADL) functioning and possible predictors of performance changes in healthy older adults conducting either a General Cognitive Training (GCT) or a Reasoning Cognitive Training (ReaCT) or no training (control group, CG) over a period of 6 weeks, 3 months, and 6 months. Setting and participants An online, home‐based GCT and ReaCT including n = 2913 healthy participants (GCT: n = 1096; ReaCT: n = 1022; CG: n = 794) aged 60 years and older. Methods Multilevel analysis were calculated to explore the nature of our outcome variables of IADL part A (independence) and part B (difficulty of tasks), and to detect possible predictors for participants’ performance on IADL after CT. Results The random slopes models fitted better for the outcomes IADL Part B in the GCT group (χ2(2) = 18.78, p < .01), and both IADL Part A and Part B in the ReaCT group (χ2(2) = 28.57, p < .01; χ2(2) = 63.38, p < .01, respectively), indicating different changes over time for individual participants. Female sex was a significant predictor of IADL change in the ReaCT group, showing that females benefited most in both IADL scores (IADL A: 0.01, p < .01; IADL B: 0.004, p < .01). No other significant predictors for IADL changes were identified. Conclusion and implication The particular effectiveness in women is of clinical relevance, as IADL is typically more impaired in women than in men in advanced age. Following a personalized medicine approach, identifying predictors of non‐pharmacological intervention success is of utmost importance.Mandy RohegerElke KalbeAnne CorbettHelen BrookerClive BallardWileyarticlehealthy older adultspredictionreasoning cognitive trainingNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain and Behavior, Vol 11, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	healthy older adults prediction reasoning cognitive training Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	healthy older adults prediction reasoning cognitive training Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Mandy Roheger Elke Kalbe Anne Corbett Helen Brooker Clive Ballard Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?
description	Abstract Objectives To investigate the course of activities of daily living (IADL) functioning and possible predictors of performance changes in healthy older adults conducting either a General Cognitive Training (GCT) or a Reasoning Cognitive Training (ReaCT) or no training (control group, CG) over a period of 6 weeks, 3 months, and 6 months. Setting and participants An online, home‐based GCT and ReaCT including n = 2913 healthy participants (GCT: n = 1096; ReaCT: n = 1022; CG: n = 794) aged 60 years and older. Methods Multilevel analysis were calculated to explore the nature of our outcome variables of IADL part A (independence) and part B (difficulty of tasks), and to detect possible predictors for participants’ performance on IADL after CT. Results The random slopes models fitted better for the outcomes IADL Part B in the GCT group (χ2(2) = 18.78, p < .01), and both IADL Part A and Part B in the ReaCT group (χ2(2) = 28.57, p < .01; χ2(2) = 63.38, p < .01, respectively), indicating different changes over time for individual participants. Female sex was a significant predictor of IADL change in the ReaCT group, showing that females benefited most in both IADL scores (IADL A: 0.01, p < .01; IADL B: 0.004, p < .01). No other significant predictors for IADL changes were identified. Conclusion and implication The particular effectiveness in women is of clinical relevance, as IADL is typically more impaired in women than in men in advanced age. Following a personalized medicine approach, identifying predictors of non‐pharmacological intervention success is of utmost importance.
format	article
author	Mandy Roheger Elke Kalbe Anne Corbett Helen Brooker Clive Ballard
author_facet	Mandy Roheger Elke Kalbe Anne Corbett Helen Brooker Clive Ballard
author_sort	Mandy Roheger
title	Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?
title_short	Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?
title_full	Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?
title_fullStr	Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?
title_full_unstemmed	Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?
title_sort	predictors of activities of daily living in heathy older adults: who benefits most from online cognitive training?
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/5644b1fc329e4bac88ed8ee5d51bfb9c
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Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?

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