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Yokoyama K, Ihira H, Shimokihara S, Matsuzaki-Kihara Y, Mizumoto A, Tashiro H, Saito H, Makino K, Katsuura S, Shimada K, Yama K, Miyajima R, Sasaki T, Ikeda N. Association Between the Use of Information and Communication Technology Tools and Each Domain of Cognitive Function Among Community-Dwelling Older Adults: A Prospective Cohort Study. Cureus 2025; 17:e79188. [PMID: 40115722 PMCID: PMC11922815 DOI: 10.7759/cureus.79188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2025] [Indexed: 03/23/2025] Open
Abstract
BACKGROUND This study aimed to determine the association between the use of information and communication technology (ICT) tools, such as mobile voice calling, e-mail, and video calling, and cognitive function among community-dwelling older adults. METHODS For the 220 included participants aged ≥65 years, baseline surveys conducted from 2017 to 2018 assessed demographics. Additionally, cognitive function domains were evaluated using the Word List Memory Task, Trail Making Test, and Symbol Digit Substitution Task on a tablet PC. Later, in 2021, follow-up mail surveys assessed the use of ICT tools, including mobile voice calling, e-mail, and video calling. RESULTS Multivariate-adjusted logistic regression models revealed that a higher Symbol Digit Substitution Task score was significantly associated with the use of mobile voice calling (odds ratio [OR] = 1.07, 95% confidence interval [CI]: 1.02-1.13), e-mail (OR = 1.09, 95% CI: 1.04-1.15), and video calling (OR = 1.04, 95% CI: 1.003-1.09) after adjusting for covariates. CONCLUSIONS This study's findings suggest that processing speed may be related to the use of the three ICT tools assessed in this study among community-dwelling older adults, regardless of tool type. The use of these ICT tools may be challenging for older adults with decreased processing speed. Therefore, preventive interventions should include early recognition of the decline in processing speed and implementation of strategies to compensate for reduced processing speed, such as simplifying processes and habituation procedures, to enable the use of ICT tools by older adults.
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Affiliation(s)
- Kazuki Yokoyama
- Department of Occupational Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, JPN
| | - Hikaru Ihira
- Department of Physical Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, JPN
| | - Suguru Shimokihara
- Research Fellowship for Young Scientists, Japan Society for the Promotion of Science, Tokyo, JPN
- Department of Occupational Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, JPN
| | | | - Atsushi Mizumoto
- Major of Physical Therapy, Department of Rehabilitation, Faculty of Healthcare and Science, Hokkaido Bunkyo University, Eniwa, JPN
| | - Hideyuki Tashiro
- Department of Physical Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, JPN
| | - Hidekazu Saito
- Department of Occupational Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, JPN
| | - Keitaro Makino
- Center for Environmental and Health Sciences, Hokkaido University, Sapporo, JPN
| | - Shunpei Katsuura
- Division of Rehabilitation, Sapporo Medical University Hospital, Sapporo, JPN
| | - Kiyotaka Shimada
- Department of Neuropsychiatry, School of Medicine, Sapporo Medical University, Sapporo, JPN
| | - Kosuke Yama
- Department of Occupational Therapy, N Field Home-Visit Nursing Station Dune Sapporo, Sapporo, JPN
| | - Ryo Miyajima
- Psychiatric Rehabilitation Unit, Ebetsu City Hospital, Ebetsu, JPN
| | - Takeshi Sasaki
- Department of Physical Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, JPN
| | - Nozomu Ikeda
- Department of Occupational Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, JPN
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Garmendia J, Labayru G, Souto Barreto PD, Vergara I, de Munain AL, Sistiaga A. Common Characteristics Between Frailty and Myotonic Dystrophy Type 1: A Narrative Review. Aging Dis 2024:AD.2024.0950. [PMID: 39325937 DOI: 10.14336/ad.2024.0950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 08/29/2024] [Indexed: 09/28/2024] Open
Abstract
Myotonic dystrophy type 1 (DM1) is an inherited neuromuscular disorder often considered a model of accelerated aging due to the early appearance of certain age-related clinical manifestations and cellular and molecular aging markers. Frailty, a state of vulnerability related to aging, has been recently studied in neurological conditions but has received considerably less attention in neuromuscular disorders. This narrative review aims to describe 1) the common characteristics between Fried's frailty phenotype criteria (muscular weakness, slow gait speed, weight loss, exhaustion/fatigue, and low physical activity) and DM1, and 2) the psychological and social factors potentially contributing to frailty in DM1. This review gathered evidence suggesting that DM1 patients meet four of the five frailty phenotype criteria. Additionally, longitudinal studies report the deterioration of these criteria over time in DM1. Patients also exhibit psychological/cognitive and social factors that might contribute to frailty. Monitoring frailty criteria in the DM1 population could help to implement timely preventions and interventions to reduce the disease burden and severity of frailty symptoms.
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Affiliation(s)
- Joana Garmendia
- Department of Clinical and Health Psychology and Research Methodology, Psychology Faculty, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Gipuzkoa, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Institute Carlos III, Madrid, Spain
| | - Garazi Labayru
- Department of Clinical and Health Psychology and Research Methodology, Psychology Faculty, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Gipuzkoa, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Institute Carlos III, Madrid, Spain
- Neuroscience Area, Biogipuzkoa Health Research Institute, Donostia-San Sebastián, Gipuzkoa, Spain
| | - Philipe de Souto Barreto
- Institute on Aging, Toulouse University Hospital (CHU Toulouse), Toulouse, France
- Institut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France
- CERPOP UMR 1295, Inserm, Université Paul Sabatier, Toulouse, France
| | - Itziar Vergara
- Osakidetza Health Care Directorate, PC-IHO Research Unit of Gipuzkoa, Donostia-San Sebastián, Gipuzkoa, Spain
- Primary Care Group, Biogipuzkoa Health Research Institute, Donostia-San Sebastián, Gipuzkoa, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Spain
| | - Adolfo López de Munain
- Neurology Department, Donostia University Hospital, Donostia-San Sebastián, Gipuzkoa, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Institute Carlos III, Madrid, Spain
- Neuroscience Area, Biogipuzkoa Health Research Institute, Donostia-San Sebastián, Gipuzkoa, Spain
| | - Andone Sistiaga
- Department of Clinical and Health Psychology and Research Methodology, Psychology Faculty, University of the Basque Country (UPV/EHU), Donostia-San Sebastián, Gipuzkoa, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Institute Carlos III, Madrid, Spain
- Neuroscience Area, Biogipuzkoa Health Research Institute, Donostia-San Sebastián, Gipuzkoa, Spain
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Chi HC, Ma LZ, Wang ZB, Sheng ZH, Liu JY, Mi YC, Fu Y, Huang YM, Han SL, Gao PY, Tan L, Yu JT. Associations of Frailty with Neuropsychiatric Symptoms of Alzheimer's Disease: A Longitudinal Study. J Alzheimers Dis 2024; 98:629-642. [PMID: 38427482 DOI: 10.3233/jad-231111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Background Frailty is a vulnerability state increasing the risk of many adverse health outcomes, but little is known about the effects of frailty on neuropsychiatric health. Objective To explore the associations between frailty and the risk of neuropsychiatric symptoms (NPSs) in Alzheimer's disease (AD), especially in its different clinical stages. Methods We included 2,155 individuals assessed using modified frailty index-11 (mFI-11), Neuropsychiatric Inventory (NPI) and Neuropsychiatric Inventory Questionnaire (NPI-Q) in the Alzheimer's Disease Neuroimaging Initiative (ADNI). The relationships between frailty and NPSs were explored with logistic regression models and Cox proportional hazard regression models. Causal mediation analyses were conducted to explore the mediation factors between frailty and NPSs. Results Among mild cognitive impairment (MCI) participants, frailty was cross-sectionally associated with an increased risk of apathy, and longitudinally associated with increased risk of depression and apathy. Among AD participants, frailty was cross-sectionally associated with increased risk of depression and anxiety, and longitudinally associated with an increased risk of apathy. Among participants with cognitive progression, frailty was associated with increased risk of depression and apathy. In MCI participants, the influence of frailty on NPSs was partially mediated by hippocampus volume, whole brain volume, and monocytes, with mediating proportions ranging from 8.40% to 9.29%. Conclusions Frailty was associated with NPSs such as depression, anxiety, and apathy among MCI, AD, and cognitive progression participants. Atrophy of the hippocampus and whole brain, as well as peripheral immunity may be involved in the potential mechanisms underlying the above associations.
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Affiliation(s)
- Hao-Chen Chi
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ling-Zhi Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zhi-Bo Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ze-Hu Sheng
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jia-Yao Liu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yin-Chu Mi
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yi-Ming Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Shuang-Ling Han
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Pei-Yang Gao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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