The Effect of Dual Tasks of Digital Technology on Cognitive Function and Physical Activity in the Older Adults With Cognitive Frailty

NCT ID: NCT06797440

Last Updated: 2025-04-03

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Clinical Phase: NA
• Total Enrollment: 100 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2025-04-30
• Study Completion Date: 2026-06-30

Brief Summary

Background: Cognitive frailty is a state that combines physical weakness and cognitive impairment. As age increases, the prevalence rate also increases. Older adults with cognitive frailty are prone to falls, limited or degraded physical functions, and are at high risk of becoming disabled. It is an essential predictor of dementia and mortality. There are currently very few randomized controlled trial studies on cognitive frailty abroad. Although there are many related studies on senile frailty in Taiwan, most studies examine cognitive function and physical frailty separately. Since cognitive frailty is reversible, early intervention can delay or prevent the occurrence of cognitive frailty. Therefore, cognitive-motor dual tasks are introduced. For more information, see the effectiveness of dual-tasking in cases of cognitive decline.

Purpose: Goal is to not only explore the feasibility of a motor-cognition dual-task program for elderly individuals with cognitive frailty but also to compare its impact on cognitive and physical function with existing training programs. By doing so, the purpose of this study will be to provide practical insights that can inform the development of effective interventions for this vulnerable population.

Methods: A randomized clinical trial was used to explore the effectiveness of a dual-task intervention program on cognitive function and physical activity in older adults with cognitive frailty. Eligible subjects were recruited through convenience sampling and randomly assigned to two groups. The experimental group used Nintendo Switch to perform dual tasks of motor cognition, while the control group performed regular activities. Twice a week, 60 minutes each time, for eight weeks of training. Both groups completed basic information (demographics, disease characteristics, and lifestyle), cognitive function measurements, and physical activity function measurements in the pre-test (T0) in the 4th week (T1) and 8th week (T2). Cognitive function measurements and physical activity function measurements were performed again. Using SPSS 29.0 as a statistical tool, independent sample t-test and Chi-square test were used to detect the demographic variables, disease treatment variables, living habits, cognitive functions, and physical effects of the two groups-homogeneity of activities. A generalized estimating equation (GEE) was used as a statistical method to process and analyze repeated measurement data. The effects of the inter-group and time interaction on the two groups' cognitive function and physical activity were studied differently.

Expected research results: This study is expected to construct a suitable dual-task program to introduce the role of physical and cognitive function in this group and explore its effectiveness.

Detailed Description

Background:

As the population ages, the number of diseases or problems related to old adults is also increasing, among which the problem of frailty is also rising sharply. Scholars define frailty as multiple declines in physiological systems, which lead to the deterioration of body reserve functions, increase the susceptibility to clinical symptoms, and reduce The ability to cope with acute stress, leading to related complications and adverse health outcomes, such as falls, decreased physical activity, cognitive decline, and increased mortality. Scholars van Oostrom et al. classified frailty into four types: physical frailty, psychological frailty, cognitive frailty, and social frailty. They also verified that sociodemographic factors, lifestyle, and multiple diseases affect the four types of frailty . In Taiwan, most frailty research focuses on the physiological aspects. Cognitive impairment and physical frailty are common health problems in the elderly, and the relationship between the two has been widely discussed. Many studies have confirmed that physical activity can not only reduce the occurrence of cognitive impairment but also is an important factor in reducing physiological frailty. The main reason is that physical activity can stimulate endothelial function and cell molecules in series, producing a protective mechanism to fight against cognitive decline and muscle loss. However, even though frailty and cognitive impairment are linked, the two conditions are often studied separately.

In recent years, domestic and foreign scholars have begun to realize the issues related to cognitive frailty (CF) and have begun to explore its prevalence, related influencing factors, influencing results, and intervention measures. According to the literature, the prevalence of cognitive frailty has increased significantly in recent years. The prevalence of cognitive impairment among community-dwelling older adults is 9% on average, with a prevalence of 13.3% in Taiwan. This increase in data is of great significance for the adjustment of health policies, nursing, and long-term care development. Literature shows that cognitive decline is a reversible state. If pay attention to this problem and start taking relevant intervention measures, we can avoid its rapid development.

The concept and assessment of cognitive decline in the elderly have been embryonic for the past five years. Conceptual definitions have been developed abroad. In recent years, many empirical studies have been conducted, most of which focus on longitudinal studies and dual-task intervention programs to verify the effects of cognitive function and physical activity on patients with cognitive impairment, but there is still a lack of randomized controlled trials. Although there are many studies on frailty in old adults in Taiwan, most of them are still Cognitive function, and physical frailty has been studied separately, and there are few studies on the topic of cognitive frailty. Therefore, this study introduced the cognitive-motor dual task of digital technology to understand the effectiveness of the dual task in cases of cognitive impairment.

Purpose:

1. Develop dual-task intervention solutions for digital technology.

2. To explore the effectiveness of dual-task intervention programs on cognitive function in older adults with cognitive impairment.

3. To explore the effectiveness of a dual-task intervention program on physical activity in cognitively impaired older adults.

Subjects:

1. Inclusion criteria: (1) aged 65 years or older; (2) subjective cognitive decline (measured by SMC with a score of at least 1 point) or mild cognitive impairment (measured by MoCA-T with a score of ≤25 points); (3) Possessing characteristics of physiological frailty (meeting at least one of the above items as measured by FFI).

2. Exclusion criteria: (1) diagnosed with Alzheimer's disease or other types of dementia; (2) suffering from musculoskeletal diseases and severe mental illness that make it impossible to perform cognitive and motor tasks.

3. Number of subjects: 50 in the experimental group and 50 in the control group

4. Recruitment method: (1) Recruitment location: residential institutions and senior citizen apartments in Taipei and New Taipei City (2) Recruitment through information sessions (with promotional posters)

Research design:

1. Study design or implementation This study used a randomized clinical trial to explore the effectiveness of a dual-task intervention program on cognitive function and physical activity in cognitively impaired older adults. This study was a single-blind, parallel randomized design, and the intervention began immediately after the initial evaluation and randomization. Eligible subjects were recruited by convenience sampling and subsequently randomly assigned to two groups: the experimental group received the dual-task regimen, and the control group received conventional care. The intervention activities of this study were cognitive and physical activity training using Nintendo Switch twice a week, 60 minutes each time (5 minutes of warm-up and cool-down exercises, 10 minutes of stretching exercises, and 40 minutes of exercise combined with cognitive training) for a total of 8 weeks. train. Both groups completed basic information (demographics and disease characteristics). They underwent cognitive function measurement at the pretest (T0), 4th week (T1), and 8th week (T2): the Taiwanese version of the Montreal Cognitive Assessment ( Taiwanese version of the Montreal Cognitive Assessment (MoCA-T), Trail Making Test (TMT), Taiwan Odd-Even Number Sequencing Test (TOENS); Physical activity function measurement: Timed Up and Test (Timed Up and Go, TUG), simple body measurement tool (Short Physical Performance Battery, SPPB) and handgrip strength test.

2. Project duration and expected progress

(1) This study was conducted after IRB and RCT were approved. (2) The case will be accepted after approval by both IRB and RCT. (3) Conduct data analysis and statistics after receiving the case 3. Statistical methods and results evaluation

1. Descriptive data analysis

①. Describe various demographic variables with frequency and percentage, including gender, marital status, education level, employment, living alone, economic status, chronic diseases, depression, dental and chewing function, medication use, physical activity (leisure sports), and Participation in social activities.

②. Describe continuous variables using mean, standard deviation, minimum, maximum, and range, including age, BMI, duration of illness, and medication use.

2. Inferential Data Analysis This study used an independent sample t-test and Chi-square test to detect the homogeneity of the two groups in terms of demographic variables, disease treatment variables, lifestyle habits, cognitive function, and physical activity. Since this study adopts a two-group (one before and two after) repeated measurement design, the generalized estimating equation (GEE) is used to handle repeated measurement data. Its advantages are that it allows the existence of missing values and assumes that Missing entirely at random (MACR) has the advantage of robust standard error and can handle continuous or binary variables. Therefore, GEE was used to analyze the intergroup effects of the two groups after dual-task intervention. And differences in the impact of between-group and time interactions.

Conditions

Cognitive Frailty

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: HEALTH_SERVICES_RESEARCH
• Blinding Strategy: SINGLE

Study Groups

Experimental group

The experimental group received a dual-task protocol. The intervention activities of the experimental group were cognitive and physical activity training using Nitendo Switch.

Group Type: EXPERIMENTAL

Dual tasks of digital technology

Intervention Type: OTHER

The intervention activities of this study were cognitive and physical activity training using Nintendo Switch twice a week, 60 minutes each time (5 minutes of warm-up and cool-down exercises, 10 minutes of stretching exercises, and 40 minutes of exercise combined with cognitive training) for a total of 8 weeks. train. Both groups filled in basic data (demographics and disease characteristics) and underwent cognitive function measurements and physical activity function measurements at pretest (T0), 4th week (T1), and 8th week (T2).

Control group

The control group received usual care.

Group Type: NO_INTERVENTION

No interventions assigned to this group

Interventions

Dual tasks of digital technology

The intervention activities of this study were cognitive and physical activity training using Nintendo Switch twice a week, 60 minutes each time (5 minutes of warm-up and cool-down exercises, 10 minutes of stretching exercises, and 40 minutes of exercise combined with cognitive training) for a total of 8 weeks. train. Both groups filled in basic data (demographics and disease characteristics) and underwent cognitive function measurements and physical activity function measurements at pretest (T0), 4th week (T1), and 8th week (T2).

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Aged 65 years or older
• Subjective cognitive decline (measured by SMC with a score of at least 1 point) or mild cognitive impairment (measured by MoCA-T with a score of ≤25 points)
• Possessing characteristics of physiological frailty (meeting at least one of the above items as measured by FFI)

Exclusion Criteria

• Diagnosed with Alzheimer's disease or other types of dementia
• Suffering from musculoskeletal diseases and severe mental illness that make it impossible to perform cognitive and motor tasks

• Minimum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

National Taipei University of Nursing and Health Sciences

OTHER

Sponsor Role: lead

Responsible Party

Chia Jung Hsieh

Ph.D., RN, Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

National Taipei University of Nursing and Health Sciences

Taipei, , Taiwan

Countries

Taiwan

Central Contacts

Chia-Jung Hsieh, PhD

Role: CONTACT

chiajung@gm.ntunhs.edu.tw

886(2)2822-7101 ext. 3135

Chiung Shu Lee, PhD Candidate

Role: CONTACT

doreen79@ctcn.edu.tw

886925887091

Facility Contacts

Chia-Jung Hsieh, PhD

Role: primary

chiajung@gm.ntunhs.edu.tw

886(2)2822-7101 ext. 3135

Chiung Shu Lee, PhD Candidate

Role: backup

doreen79@ctcn.edu.tw

886925887091

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Other Identifiers

C113026

Identifier Type: -

Identifier Source: org_study_id