Actively Recruiting
Effects of the EatWelLog App on Diet Management for Older Adults With Sarcopenic Obesity
Led by The Hong Kong Polytechnic University · Updated on 2025-02-13
40
Participants Needed
1
Research Sites
81 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Sarcopenic obesity, characterised by concurrent reduced muscle mass and excess body fat, affects 11% of older adults worldwide, rising to 23% in those over 75. Considering the negative synergistic impact on health, promoting muscle mass gains while reducing fat mass remains a significant challenge, necessitating urgent and effective intervention strategies for managing SO. Exercise and nutrition are the primary interventions recommended for SO. This project aims to evaluate the effects of the EatWellLog App developed by the investigators' team for local older adults, in improving: * their sarcopenic obesity status, measured by all four diagnostic criteria, including grip strength, muscle mass, physical performance and body fat mass (primary outcome), and, * nutritional self-efficacy, nutritional status, dietary quality, health-related quality of life, and adherence to diet and exercise regimens (secondary outcomes), by enhancing the self-management abilities and longer-term adherence to daily diet management among participants in the M-health group using the App, compared to the control group. The EatWellLog App, designed for older adults with SO, incorporating Klasnja and Pratt's five-strategy framework for mobile health (mHealth) applications development to facilitate health behavioural change. This App supports users with SO in managing daily diets that promote gradual weight loss and muscle mass preservation, adhering to the dietary regimen for this population. Forty older adults with SO will be recruited from local community health centres and then randomized to either m-health or control groups. Both groups will receive an 8-week supervised programme separately. The programme consists of personalised dietary modification programme and group-based exercise training which have been tested and used in the investigators' pilot and General Research Fund (GRF) project. Additionally, only the m-health group will be instructed to use the App for daily diet self-management. Participants will be assessed on a variety of outcomes immediately after the 8-week supervised programme (T1), which will be compared to the baseline (T0). To explore the possible long-term effects of the intervention, other measurements will be conducted at 3-(T2) and 6-(T3) months after the supervised programme, which will be compared with those conducted at T0.
CONDITIONS
Official Title
Effects of the EatWelLog App on Diet Management for Older Adults With Sarcopenic Obesity
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged 65 or above, and living in the community
- Diagnosed with sarcopenic obesity based on Asian Working Group for Sarcopenia and WHO obesity criteria for Asians, including low handgrip strength, low muscle mass, low physical performance, and obesity by BMI, waist circumference, or body fat
- Own a smartphone with internet access
- Able to communicate, read, and write in Chinese without major hearing or vision impairments
You will not qualify if you...
- Having diseases affecting digestion or food intake such as severe cardiac, pulmonary, renal diseases, diabetes, cancer, or autoimmune disorders
- Taking medications that affect eating habits, digestion, or metabolism, including weight loss drugs
- Diagnosed with alcohol use disorder as defined by DSM-5
- Having medical implants like pacemakers that interfere with bioelectric impedance analysis
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
The Hong Kong Polytechnic University
Hong Kong, Hong Kong
Actively Recruiting
Research Team
J
Justina Liu, PhD
CONTACT
A
Amy Cheung
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
TREATMENT
Number of Arms
2
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