NCT06088511

A Dyadic e-Health System on Enhancing Healthy Lifestyles of Older Adults With Sarcopenia

Effectiveness of a Dyadic e-Health System on Enhancing Healthy Lifestyles of Older Adults With Sarcopenia: A Randomized Controlled Trial

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 88 (estimated)
• Sponsor: The Hong Kong Polytechnic University · Academic / Other
• Sex: All
• Age: 60 Years
• Healthy volunteers: Not accepted

Summary

Sarcopenia is defined as a reduction in muscle mass, muscle strength, and physical performance. Without proper management, sarcopenia may result in adverse health outcomes. Continuously maintain healthy lifestyle, such as being physically active, taking adequate protein in daily diet, are effective in preventing and managing sarcopenia. e-Health has been used successfully to translate evidence-based lifestyle interventions into daily practice by enhancing self-awareness, promoting self-monitor and sustaining self-management for other populations with different health problems. This project aims to develop, implement and evaluate the preliminary effects of an e-Health System to encourage older adults with sarcopenia to maintain healthy lifestyles (i.e. regular exercise and adequate intake of high-quality protein). Combining the concepts of smart health, the System aims to enhance users' self-monitoring (Level 1) and self-management (Level 2) of sarcopenia. Level 1 aims to enhance participants' and their family members' awareness of the risks of sarcopenia through continued monitoring. The System will perform baseline and regular subjective (such as self-administered questionnaires) and objective (such as activity levels by an embedded accelerometer) assessments on the participants. The embedded risk calculator in the System will analyze the scores obtained from different assessments and then recommend participants to follow the healthy lifestyle interventions in Level 2. Level 2 aims to enhance participants' and their family members' ability to manage the health problems related sarcopenia. The System will recommend two major evidence-based lifestyle interventions, including physical exercise and nutritional advice, based on the analysis of the assessment data in Level 1. These interventions will be conducted during the four face-to-face sessions and continuously self-practised at home. The interventions will provide interactive, immediate feedback to the participants and their family members to improve their involvement. The participants and their family members can monitor their progress via the System. The investigators hypothesize that the experimental group who has adopted the e-Health system in their daily life to manage sarcopenia will exhibit milder symptoms of sarcopenia and more sustainable self-management ability than participants in the control group who has received usual care.

Detailed description

Sarcopenia is defined as a reduction in appendicular skeletal muscle mass, muscle strength, and physical performance. The prevalence of sarcopenia is high, and it appears in about 25% of local older adults. Without proper management, sarcopenia may result in adverse health outcomes leading to poor quality of life and premature institutionalization. It also causes a burden on their family members. The current evidence shows that preventing and managing sarcopenia with healthy lifestyle interventions, which include maintaining a physically active lifestyle, ideal body weight, adequate protein intake and social participation, tend to produce positive outcomes if older adults can continuously maintain these healthy lifestyles. e-Health was defined as "the cost-effective and secure use of information and communications technologies in support of health". e-Health has been used successfully to translate evidence-based lifestyle interventions into daily practice by enhancing self-awareness, promoting self-monitor and sustaining self-management for addressing obesity in young people, smoking cessation in adults and promoting physical activities in older adults with sedentary lifestyle. For example, a systematic review of 15 papers with 1967 participants compared the e-Health based interventions with the control groups to reduce sedentary behaviour and increase physical activity levels. The results showed that the group that received e-Health based interventions had a significantly increased level of physical activity compared with the control groups. Despite all these potential benefits of using e-Health to manage health, studies indicated that older adults tend to be reluctant to use new technologies due to the inability to integrate them into their daily lives. Consequently, it has been posited that older adults may be less capable or willing to adopt e-Health strategies to manage their health. One possible explanation for this low adaptation rate is that older adults cannot integrate the technologies into their daily lives. Studies have argued that the motivation of participants to sustain the use of the new technologies depends on the extent to which the participants feel that the technologies can fulfil their needs, align with their goals, and meet their expectations. In addition, older adults often attempt to adopt new habits, such as using a new electronic device, maintaining a physically active lifestyle, while being embedded in social networks comprising, amongst others, friends and family. However, current e-Health-based interventions are usually focused on individuals. Given that empirical evidence highlights the role of family members in influencing older adults' behaviour, including an adaptation of technologies and healthy lifestyles, there is a need to consider the potential benefits of involving family support when delivering an e-Health based intervention to older adults. The World Health Organization's global strategy for digital health emphasizes the importance of empowering older adults to integrate technology into their daily life. Family members who have a close relationship with older adults can support them in adopting the e-Health based interventions for self-management of the health problems. Dyads are defined as two individuals (such as, family caregiver and care recipient) maintaining a socially close relationship. There has been some evidence suggesting that e-Health based interventions targeting the promotion of psychosocial wellbeing through a dyadic approach benefit both care recipients and caregivers. However, most positive findings were from studies targeting children/adolescent-parents dyads or young adult dyads. In addition, behavioural change (such as adopting a new healthy diet habit) is interdependent between care recipients and family caregivers. With the support of family, older adults can easily familiarise themselves with the technical design and functions of the e-Health platform, overcome barriers to adopting the technology and sustain healthy lifestyles in their daily routine. Through the dyadic approach, family members may co-develop an action plan to target the health goals, receive personalized feedback on participants' performance and obtain encouragement from the family members via the e-health platform. Family support may facilitate and motivate older adults (participants) to continue using the e-Health platform and sustain healthy lifestyles. Promising evidence suggests that dyadic interventions can deliver synergistic benefits to both family caregivers and care recipients. However, a limited empirical study has adopted a dyadic approach for older adults to use e-Health platforms to enhance their healthy lifestyles for managing sarcopenia. Aims and objectives An e-Health system which comprises of the concept of smart health (i.e. refer to individual demographic and health data) will be developed. This project aims to evaluate the effectiveness of an e-Health System delivered in a dyadic approach to encourage older adults with sarcopenia to maintain healthy lifestyles (i.e. adequate intake of high-quality protein and regular exercises). Two objectives of this study include: 1. to develop a two-level e-Health system to enhance self-monitoring and self-management of sarcopenia 2. to evaluate the immediate effects (4 weeks) and the mid-term effects (after engaging in the e-Health system for 12 weeks). The investigators hypothesize that the experimental group who has adopted the e-Health system in their daily life to manage sarcopenia will exhibit milder symptoms of sarcopenia, better mobility and physical function and better quantity and quality of protein intake, greater self-efficacy and more sustainable self-management ability than participants in the control group who has received usual care.

Conditions

• Sarcopenia

Interventions

Type	Name	Description
BEHAVIORAL	e-Health System with nutritional advice	A 12-week intervention consisting of a 4-weekly group-based, face-to-face supervised sessions, and an 8-week self-management phase will be arranged to the experimental group. The features of the System will be introduced to the users and their family members in the first two face-to-face sessions. The users and their family members will then be able to start using the System with the mobile app. In the other two sessions, all participants in the experimental group will learn how to accurately complete their dietary records in the e-Health System and will be provided with nutritional advice. For the 8-week self-management phase, the participants will be recommended to follow the lifestyle interventions to relieve their problems related to sarcopenia. The participants are required to fill in their dietary record in the e-Health System every day, and will be provided with nutritional advice to improve high-quality protein and leucine intake, which is essential for muscle building.
BEHAVIORAL	The Exercise Training	For the 8-week self-management phase, the participants will be recommended to follow the lifestyle interventions to relieve their problems related to sarcopenia. The participants in the experimental group will also be suggested to continually practise exercise training at home for 30 minutes at least 5 times per week. Participants can review the self-learning exercise videos embedded in the System. The exercise trainings include: a) progressive resistance training to improve muscle strength; and b) brisk walking exercise to maintain walkability.

Timeline

• Start date: 2024-05-06
• Primary completion: 2025-06-30
• Completion: 2026-01-01
• First posted: 2023-10-18
• Last updated: 2024-03-22

Locations

1 site across 1 country: Hong Kong