Annicka Hedman1, Louise Nygård2, Anders Kottorp3. 1. Annicka Hedman, PhD, OT Reg, is Postdoctoral Fellow, Division of Occupational Therapy, Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy, Karolinska Institutet, Huddinge, Sweden; annicka.hedman@ki.se. 2. Louise Nygård, PhD, OT Reg, is Professor, Division of Occupational Therapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden. 3. Anders Kottorp, PhD, OT Reg, is Associate Professor, Division of Occupational Therapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden, and Professor, Department of Occupational Therapy, University of Illinois at Chicago.
Abstract
OBJECTIVE: We investigated how everyday technology use related to activity involvement over 5 yr in people with mild cognitive impairment. METHOD: Thirty-seven older adults with mild cognitive impairment were evaluated regarding everyday technology use and involvement in activities over time. Information on diagnostic changes was collected from medical files. Linear mixed-effects models were used in data analysis. RESULTS: Ability to use everyday technology showed a significant effect on activity involvement (p = .007) beyond the effects of time, diagnostic change, and age. Decreases in number of everyday technologies used (p < .001) and share of accessible and relevant everyday technologies used (p = .04) were associated with decreasing activity involvement. However, these two aspects did not reinforce each other. CONCLUSION: When monitoring activity involvement in clients with cognitive decline, health care professionals should take into account clients' ability to use everyday technologies and the amount of everyday technologies they use.
OBJECTIVE: We investigated how everyday technology use related to activity involvement over 5 yr in people with mild cognitive impairment. METHOD: Thirty-seven older adults with mild cognitive impairment were evaluated regarding everyday technology use and involvement in activities over time. Information on diagnostic changes was collected from medical files. Linear mixed-effects models were used in data analysis. RESULTS: Ability to use everyday technology showed a significant effect on activity involvement (p = .007) beyond the effects of time, diagnostic change, and age. Decreases in number of everyday technologies used (p < .001) and share of accessible and relevant everyday technologies used (p = .04) were associated with decreasing activity involvement. However, these two aspects did not reinforce each other. CONCLUSION: When monitoring activity involvement in clients with cognitive decline, health care professionals should take into account clients' ability to use everyday technologies and the amount of everyday technologies they use.
Authors: Isabel Margot-Cattin; Catherine Ludwig; Nicolas Kühne; Gunilla Eriksson; André Berchtold; Louise Nygard; Anders Kottorp Journal: Can J Occup Ther Date: 2021-03-22 Impact factor: 1.614
Authors: Eva Lindqvist; Annika PerssonVasiliou; Amy S Hwang; Alex Mihailidis; Arlene Astelle; Andrew Sixsmith; Louise Nygård Journal: BMC Geriatr Date: 2018-08-17 Impact factor: 3.921
Authors: Sophie N Gaber; Liv Thalén; Camilla W Malinowsky; Isabel Margot-Cattin; Kishore Seetharaman; Habib Chaudhury; Malcolm Cutchin; Sarah Wallcook; Anders Kottorp; Anna Brorsson; Samantha Biglieri; Louise Nygård Journal: J Appl Gerontol Date: 2022-06-30