Effects of the EatWelLog App on Diet Management for Older Adults With Sarcopenic Obesity

NCT ID: NCT06360432

Last Updated: 2025-02-13

Basic Information

• Recruitment Status: RECRUITING
• Clinical Phase: NA
• Total Enrollment: 40 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2024-04-08
• Study Completion Date: 2025-10-31

Brief Summary

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.

Detailed Description

Sarcopenic obesity (SO), characterized by concurrent reduced muscle mass and excess body fat, affects 11% older adults worldwide, rising to 23% among those over 751. Older adults with reduced muscle mass are 1.95-2.62 times prone to obesity than those with normal muscle mass. This is due to shared etiological factors between sarcopenia and obesity such as sedentary habits and aging-related biological shifts, including decreased anabolic hormones, increased insulin resistance, and escalated oxidative stress. The combination of sarcopenia and obesity has a compounding negative impact on health, raising the likelihood of knee and hip osteoarthritis, which leads to reduced physical capabilities, as well as increasing the risk of cardio-metabolic diseases, institutionalized, and death, exceeding the risks of sarcopenia or obesity alone.

Addressing SO effectively to promote muscle mass gains while reducing fat mass remains a significant challenge, necessitating urgent and effective intervention strategies. Currently, exercise and nutrition interventions, are the most commonly recommended interventions.

Exercise and Nutrition Interventions for SO A recent systematic review of 11 trials with 440 SO participants showed that resistance training twice weekly for 20 minutes over a minimum of 8 weeks effectively enhances body composition, muscle strength, and gait speed. Furthermore, evidence suggested that combining aerobic and resistance training with increased protein intake is more effective in reducing body fat than resistance training alone but had no effects on muscle mass and strength. Another systematic review of eight trials with 605 SO participants found that resistance training alone could increase muscle strength. To also improve physical functions (i.e., gait speed and grip strength), exercise combining aerobic and resistance training with dietary supplements seems to have more promising results. The findings in a recent umbrella review of meta-analyses concluded that exercise interventions (either resistance training or combined resistance and aerobic exercise) are beneficial for body composition and physical performance in older adults with SO. However, the added value of exercise with nutrition interventions (either protein supplement and dietary modifications) produces inconsistent results.

Adequate protein intake is vital for muscle building, and calorie restriction is effective at reducing fat mass. Thus, nutrition is a critical factor in the onset and progression of SO, although the evidence for nutrition interventions in reserving SO demonstrated inconsistent effects, especially regarding muscle mass and strength. When implementing a weight loss diet for individuals with SO, it is important to balance fat reduction with muscle mass preservation by ensure adequate protein intake to prevent exacerbating muscle loss. Evidence suggests that the source of protein is crucial for muscle retention, specifically for animal-based proteins, which are high in leucine, may be more effective in preserving muscle mass during weight loss and in maintaining physical function. While nutritional supplements are commonly used to increase protein intake, their effects on SO remain inconsistent and may cause side effects such as digestive issues, interact with certain medications, dehydration, liver and renal damage, bloating, and calcium loss. The investigators advocates for an unhealthy diet incorporating a full spectrum of nutrients from whole foods, in line with the Dietary Guidelines for Americans, 2020-2025, as the preferred approach over supplements for those with sarcopenic obesity. Modifying daily dietary habits of individuals with SO may provide more sustainable benefits than merely adding supplements to their diet.

A recent systematic review examining nutrition interventions in managing sarcopenic obesity analysed nine studies but only two assessed the impact of dietary modifications on protein intake among older adults with SO. The first randomized controlled trial (RCT) assessed the impact of a low-calorie diet with normal (0.8 g/kg body weight/day) versus high protein intake (1.2 g/kg body weight/day) over three months in 104 older women with SO. The study found muscle mass decreased in the normal protein group concurrent with fat loss, while the high protein group saw muscle mass preservation. The second pilot RCT involving 18 women compared a low-calorie diet with placebo to one with high protein (1.2-1.4 g/kg body weight/day) over four months. Significant muscle strength gains were noted in the high protein group, though changes in muscle mass were not significantly different between the two groups. While the findings in these two trials provided preliminary evidence that hypocaloric diet and high protein intake may be necessary for managing SO, particularly for preserving mass muscle and strength. These studies, however, had limitations such as broad inclusion criteria for sarcopenic obesity, lacking a standardized diagnostic protocol, insufficient data on dietary adherence, and opaque details regarding randomization and intervention specifics. More rigorous research is needed to investigate the impact of diet modification on sarcopenic obesity.

Conventional dietary modification intervention that relies on face-to-face consultation and monitoring, faced lots of challenges which included participants' poor compliance to the recommended dietary regimen, high attrition, time constraints and manpower. Those were major threats to the viability of the study leading to inconsistent treatment effects. In addition, the therapeutic effect may gradually reduces after the completion of the dietary training program. Additionally, the therapeutic effect may gradually reduce after the completion of the dietary program.

Rationale for developing a m-health based intervention for SO Systematic reviews found that m-health dietary intervention, with appropriate behaviour change techniques, can achieve dietary behaviour change across a range of chronic illnesses, such as obesity, metabolic syndrome, cardiovascular disease with relatively low attrition rates. To the best of the knowledge, there are no studies evaluating the effects of m-health dietary interventions on SO. The success of m-health interventions in other chronic conditions could potentially be adapted to improve health behaviors in patients with SO.

Aims and Hypotheses to be Tested.

The study aims to evaluate the effects of the EatWellLog App (hereafter referred to as "the App"), designed by the investigators' team to address the needs of 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.

It is hypothesised that the App users will demonstrate significant and sustained improvements in SO status and secondary outcomes immediately after the supervised nutrition and exercise programme and at 3-and 6-month follow ups, compared to the control group who receive the same supervised programme without the App.

The investigators will also explore users' experience with the App by focus groups with all participants in the M-health group, 6-8 per group, to understand their experience of using the App. Additionally, the investigators will analyse the App usage data including session duration, frequency, feature utilisation, and retention rates, at the 3-month and 6-month follow-ups.

Conditions

Sarcopenic Obesity

Study Design

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

Study Groups

M-health group

Participants in the M-health will receive an 8-week program consisting of personalized dietary modification program and group-based exercise training. Additionally, the m-health group will be instructed to use the EatWellLog app for daily diet self-management.

Group Type: EXPERIMENTAL

Dietary modification program

Intervention Type: BEHAVIORAL

Participants will receive an 8-week program consisting of personalized dietary modification program. The dietary modification program is composed of a total of 8 personalized, one-hour face-to-face sessions. Participants will be encouraged to take on a moderate hypocaloric plan that cuts daily energy expenditure to encourage steady weight loss while preserving muscle mass. A protein intake of 1.5 g/kg of body weight per day is recommended. To optimize protein uptake, it's suggested that protein be distributed evenly across meals, aiming for 25-30 g per meal, inclusive of 2.5-2.8 g of leucine. Participants will also receive a guidebook, crafted through the Delphi method, to facilitate the adoption of these dietary modifications in their daily routines.

Exercise training

Intervention Type: BEHAVIORAL

Participants will receive an 8-week program consisting of exercise training. It entails weekly group sessions, with each lasting an hour for 8 weeks. These sessions, designed for groups of approximately 10, will blend resistance and aerobic workouts to enhance muscle mass and strength while reducing fat in individuals with SO. Each session includes a 10-minute warm-up and cool-down, 20 minutes of resistance training using elastic bands, followed by a 20-minute brisk walking segment. Participants will also receive a YouTube link and a pamphlet describing the exercises, encouraging them to maintain at least 30 minutes of exercise five times a week during and beyond the supervised programme.

The EatWellLog App

Intervention Type: BEHAVIORAL

Only participants in the M-health group will be instructed to use the EatWellLog app for daily diet self-management. This App supports participants with SO by providing a structured approach to managing a diet that encourages steady weight loss while maintaining muscle mass, in line with current nutritional recommendations for this demographic. The EatWellLog App has the following features: i) tracking participants' dietary habits by logging meals and snacks from a food list, ii) personalized online coaching and reminders by a multidisciplinary healthcare team, iii) participation of family caregivers through an interactive messaging function, iv) accessing health information via multiple channels, including animations, an at-a-glance display, and a reminder, and v) utilization of game elements, such as educational animations and video games to disseminate health and nutritional information related to SO.

Control group

Participants in the Control group will receive an identical, 8-week program consisting of personalized dietary modification program and group-based exercise training without using the EatWellLog App.

Group Type: SHAM_COMPARATOR

Dietary modification program

Intervention Type: BEHAVIORAL

Participants will receive an 8-week program consisting of personalized dietary modification program. The dietary modification program is composed of a total of 8 personalized, one-hour face-to-face sessions. Participants will be encouraged to take on a moderate hypocaloric plan that cuts daily energy expenditure to encourage steady weight loss while preserving muscle mass. A protein intake of 1.5 g/kg of body weight per day is recommended. To optimize protein uptake, it's suggested that protein be distributed evenly across meals, aiming for 25-30 g per meal, inclusive of 2.5-2.8 g of leucine. Participants will also receive a guidebook, crafted through the Delphi method, to facilitate the adoption of these dietary modifications in their daily routines.

Exercise training

Intervention Type: BEHAVIORAL

Participants will receive an 8-week program consisting of exercise training. It entails weekly group sessions, with each lasting an hour for 8 weeks. These sessions, designed for groups of approximately 10, will blend resistance and aerobic workouts to enhance muscle mass and strength while reducing fat in individuals with SO. Each session includes a 10-minute warm-up and cool-down, 20 minutes of resistance training using elastic bands, followed by a 20-minute brisk walking segment. Participants will also receive a YouTube link and a pamphlet describing the exercises, encouraging them to maintain at least 30 minutes of exercise five times a week during and beyond the supervised programme.

Interventions

Dietary modification program

Participants will receive an 8-week program consisting of personalized dietary modification program. The dietary modification program is composed of a total of 8 personalized, one-hour face-to-face sessions. Participants will be encouraged to take on a moderate hypocaloric plan that cuts daily energy expenditure to encourage steady weight loss while preserving muscle mass. A protein intake of 1.5 g/kg of body weight per day is recommended. To optimize protein uptake, it's suggested that protein be distributed evenly across meals, aiming for 25-30 g per meal, inclusive of 2.5-2.8 g of leucine. Participants will also receive a guidebook, crafted through the Delphi method, to facilitate the adoption of these dietary modifications in their daily routines.

Intervention Type: BEHAVIORAL

Exercise training

Participants will receive an 8-week program consisting of exercise training. It entails weekly group sessions, with each lasting an hour for 8 weeks. These sessions, designed for groups of approximately 10, will blend resistance and aerobic workouts to enhance muscle mass and strength while reducing fat in individuals with SO. Each session includes a 10-minute warm-up and cool-down, 20 minutes of resistance training using elastic bands, followed by a 20-minute brisk walking segment. Participants will also receive a YouTube link and a pamphlet describing the exercises, encouraging them to maintain at least 30 minutes of exercise five times a week during and beyond the supervised programme.

Intervention Type: BEHAVIORAL

The EatWellLog App

Only participants in the M-health group will be instructed to use the EatWellLog app for daily diet self-management. This App supports participants with SO by providing a structured approach to managing a diet that encourages steady weight loss while maintaining muscle mass, in line with current nutritional recommendations for this demographic. The EatWellLog App has the following features: i) tracking participants' dietary habits by logging meals and snacks from a food list, ii) personalized online coaching and reminders by a multidisciplinary healthcare team, iii) participation of family caregivers through an interactive messaging function, iv) accessing health information via multiple channels, including animations, an at-a-glance display, and a reminder, and v) utilization of game elements, such as educational animations and video games to disseminate health and nutritional information related to SO.

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• Aged 65 or above, and living in the community;
• Having SO according to the Asian Working Group for Sarcopenia (AWGS) and the World Health Organization (WHO)'s obesity criteria for Asians:

1. Early-stage sarcopenia indicated by fulfilment of one of the following criteria; handgrip strength <28 kg (men) and <18 kg (women); appendicular skeletal muscle mass (ASM)/ height2 <7 kg/m2 (men) and <5.7 kg/m2 (women), or SPPB score of <9; Short Physical Performance Battery (SPPB) score of <9,

2. Obesity indicated by BMI ≥25 kg/m2, waist circumference ≥90 cm (men) and ≥80 cm (women), or body fat >30%;

• Own a smartphone with internet access; and
• Proficiency in communicating, reading, and writing in Chinese, and without major hearing and vision impairments to ensure that comprehension of our instructions.

Exclusion Criteria

• Individuals with diseases impacting digestion or food consumption, including severe cardiac/ pulmonary/ renal diseases, diabetes, cancer, or autoimmune disorders;
• Those on medications affecting eating habits, digestion, or metabolism, such as weight loss drugs;
• Persons with alcohol use disorder as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), potentially hindering dietary behaviour changes;
• Those with medical implants like pacemakers that could be disrupted by the bioelectric impedance analysis (BIA's) low-level electrical currents.

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

Sponsors

The Hong Kong Polytechnic University

OTHER

Sponsor Role: lead

Responsible Party

Dr. Justina Liu Yat Wa

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Justina Liu, PhD

Role: PRINCIPAL_INVESTIGATOR

The Hong Kong Polytechnic University

Locations

The Hong Kong Polytechnic University

Hong Kong, , Hong Kong

Site Status: RECRUITING

Countries

Hong Kong

Central Contacts

Justina Liu, PhD

Role: CONTACT

justina.liu@polyu.edu.hk

27666427

Amy Cheung

Role: CONTACT

amy-ka-po.cheung@polyu.edu.hk

27664145

Facility Contacts

Amy Cheung, MA

Role: primary

amy-ka-po.cheung@polyu.edu.hk

+852 27664145

References

Gao Q, Mei F, Shang Y, Hu K, Chen F, Zhao L, Ma B. Global prevalence of sarcopenic obesity in older adults: A systematic review and meta-analysis. Clin Nutr. 2021 Jul;40(7):4633-4641. doi: 10.1016/j.clnu.2021.06.009. Epub 2021 Jun 21.

Reference Type: BACKGROUND

PMID: 34229269 (View on PubMed)

Stenholm S, Harris TB, Rantanen T, Visser M, Kritchevsky SB, Ferrucci L. Sarcopenic obesity: definition, cause and consequences. Curr Opin Clin Nutr Metab Care. 2008 Nov;11(6):693-700. doi: 10.1097/MCO.0b013e328312c37d.

Reference Type: BACKGROUND

PMID: 18827572 (View on PubMed)

Polyzos SA, Margioris AN. Sarcopenic obesity. Hormones (Athens). 2018 Sep;17(3):321-331. doi: 10.1007/s42000-018-0049-x. Epub 2018 Jul 16.

Reference Type: BACKGROUND

PMID: 30014320 (View on PubMed)

Kob R, Bollheimer LC, Bertsch T, Fellner C, Djukic M, Sieber CC, Fischer BE. Sarcopenic obesity: molecular clues to a better understanding of its pathogenesis? Biogerontology. 2015 Feb;16(1):15-29. doi: 10.1007/s10522-014-9539-7. Epub 2014 Nov 7.

Reference Type: BACKGROUND

PMID: 25376109 (View on PubMed)

Nakano R, Takebe N, Ono M, Hangai M, Nakagawa R, Yashiro S, Murai T, Nagasawa K, Takahashi Y, Satoh J, Ishigaki Y. Involvement of oxidative stress in atherosclerosis development in subjects with sarcopenic obesity. Obes Sci Pract. 2017 Jan 27;3(2):212-218. doi: 10.1002/osp4.97. eCollection 2017 Jun.

Reference Type: BACKGROUND

PMID: 28702214 (View on PubMed)

Godziuk K, Prado CM, Woodhouse LJ, Forhan M. The impact of sarcopenic obesity on knee and hip osteoarthritis: a scoping review. BMC Musculoskelet Disord. 2018 Jul 28;19(1):271. doi: 10.1186/s12891-018-2175-7.

Reference Type: BACKGROUND

PMID: 30055599 (View on PubMed)

Nezameddin R, Itani L, Kreidieh D, El Masri D, Tannir H, El Ghoch M. Understanding Sarcopenic Obesity in Terms of Definition and Health Consequences: A Clinical Review. Curr Diabetes Rev. 2020;16(9):957-961. doi: 10.2174/1573399816666200109091449.

Reference Type: BACKGROUND

PMID: 31916519 (View on PubMed)

Alexandre TDS, Scholes S, Ferreira Santos JL, Duarte YAO, de Oliveira C. The combination of dynapenia and abdominal obesity as a risk factor for worse trajectories of IADL disability among older adults. Clin Nutr. 2018 Dec;37(6 Pt A):2045-2053. doi: 10.1016/j.clnu.2017.09.018. Epub 2017 Oct 2.

Reference Type: BACKGROUND

PMID: 29033231 (View on PubMed)

Reiter L, Bauer S, Traxler M, Schoufour JD, Weijs PJM, Cruz-Jentoft A, Topinkova E, Eglseer D. Effects of Nutrition and Exercise Interventions on Persons with Sarcopenic Obesity: An Umbrella Review of Meta-Analyses of Randomised Controlled Trials. Curr Obes Rep. 2023 Sep;12(3):250-263. doi: 10.1007/s13679-023-00509-0. Epub 2023 May 30.

Reference Type: BACKGROUND

PMID: 37249818 (View on PubMed)

Eglseer D, Traxler M, Schoufour JD, Weijs PJM, Voortman T, Boirie Y, Cruz-Jentoft AJ, Reiter L, Bauer S; SO-NUTS Consortium. Nutritional and exercise interventions in individuals with sarcopenic obesity around retirement age: a systematic review and meta-analysis. Nutr Rev. 2023 Aug 10;81(9):1077-1090. doi: 10.1093/nutrit/nuad007.

Reference Type: BACKGROUND

PMID: 36882046 (View on PubMed)

Hita-Contreras F, Bueno-Notivol J, Martinez-Amat A, Cruz-Diaz D, Hernandez AV, Perez-Lopez FR. Effect of exercise alone or combined with dietary supplements on anthropometric and physical performance measures in community-dwelling elderly people with sarcopenic obesity: A meta-analysis of randomized controlled trials. Maturitas. 2018 Oct;116:24-35. doi: 10.1016/j.maturitas.2018.07.007. Epub 2018 Jul 19.

Reference Type: BACKGROUND

PMID: 30244776 (View on PubMed)

Katsanos CS, Kobayashi H, Sheffield-Moore M, Aarsland A, Wolfe RR. Aging is associated with diminished accretion of muscle proteins after the ingestion of a small bolus of essential amino acids. Am J Clin Nutr. 2005 Nov;82(5):1065-73. doi: 10.1093/ajcn/82.5.1065.

Reference Type: BACKGROUND

PMID: 16280440 (View on PubMed)

Mathus-Vliegen EM; Obesity Management Task Force of the European Association for the Study of Obesity. Prevalence, pathophysiology, health consequences and treatment options of obesity in the elderly: a guideline. Obes Facts. 2012;5(3):460-83. doi: 10.1159/000341193. Epub 2012 Jun 30.

Reference Type: BACKGROUND

PMID: 22797374 (View on PubMed)

Abiri B, Hosseinpanah F, Seifi Z, Amini S, Valizadeh M. The Implication of Nutrition on the Prevention and Improvement of Age-Related Sarcopenic Obesity: A Systematic Review. J Nutr Health Aging. 2023;27(10):842-852. doi: 10.1007/s12603-023-1986-x.

Reference Type: BACKGROUND

PMID: 37960907 (View on PubMed)

Trouwborst I, Verreijen A, Memelink R, Massanet P, Boirie Y, Weijs P, Tieland M. Exercise and Nutrition Strategies to Counteract Sarcopenic Obesity. Nutrients. 2018 May 12;10(5):605. doi: 10.3390/nu10050605.

Reference Type: BACKGROUND

PMID: 29757230 (View on PubMed)

Sammarco R, Marra M, Di Guglielmo ML, Naccarato M, Contaldo F, Poggiogalle E, Donini LM, Pasanisi F. Evaluation of Hypocaloric Diet With Protein Supplementation in Middle-Aged Sarcopenic Obese Women: A Pilot Study. Obes Facts. 2017;10(3):160-167. doi: 10.1159/000468153. Epub 2017 May 20.

Reference Type: BACKGROUND

PMID: 28528340 (View on PubMed)

Rehman SU, Ali R, Zhang H, Zafar MH, Wang M. Research progress in the role and mechanism of Leucine in regulating animal growth and development. Front Physiol. 2023 Nov 17;14:1252089. doi: 10.3389/fphys.2023.1252089. eCollection 2023.

Reference Type: BACKGROUND

PMID: 38046946 (View on PubMed)

Hsu KJ, Liao CD, Tsai MW, Chen CN. Effects of Exercise and Nutritional Intervention on Body Composition, Metabolic Health, and Physical Performance in Adults with Sarcopenic Obesity: A Meta-Analysis. Nutrients. 2019 Sep 9;11(9):2163. doi: 10.3390/nu11092163.

Reference Type: BACKGROUND

PMID: 31505890 (View on PubMed)

Schaafsma G. Safety of protein hydrolysates, fractions thereof and bioactive peptides in human nutrition. Eur J Clin Nutr. 2009 Oct;63(10):1161-8. doi: 10.1038/ejcn.2009.56. Epub 2009 Jul 22.

Reference Type: BACKGROUND

PMID: 19623200 (View on PubMed)

U.S. Department of Agriculture & U.S. Department of Health and Human Services. Dietary Guidelines for Americans, 2020-2025. December 2020. Accessed 1 Feb 2024. https://www.dietaryguidelines.gov/sites/default/files/2020-12/Dietary_Guidelines_for_Americans_2020-2025.pdf

Reference Type: BACKGROUND

Goisser S, Kemmler W, Porzel S, Volkert D, Sieber CC, Bollheimer LC, Freiberger E. Sarcopenic obesity and complex interventions with nutrition and exercise in community-dwelling older persons--a narrative review. Clin Interv Aging. 2015 Aug 6;10:1267-82. doi: 10.2147/CIA.S82454. eCollection 2015.

Reference Type: BACKGROUND

PMID: 26346071 (View on PubMed)

Muscariello E, Nasti G, Siervo M, Di Maro M, Lapi D, D'Addio G, Colantuoni A. Dietary protein intake in sarcopenic obese older women. Clin Interv Aging. 2016 Feb 5;11:133-40. doi: 10.2147/CIA.S96017. eCollection 2016.

Reference Type: BACKGROUND

PMID: 26917955 (View on PubMed)

Yin YH, Liu JYW, Valimaki M. Effectiveness of non-pharmacological interventions on the management of sarcopenic obesity: A systematic review and meta-analysis. Exp Gerontol. 2020 Jul 1;135:110937. doi: 10.1016/j.exger.2020.110937. Epub 2020 Mar 30.

Reference Type: BACKGROUND

PMID: 32240820 (View on PubMed)

Crichton GE, Howe PR, Buckley JD, Coates AM, Murphy KJ, Bryan J. Long-term dietary intervention trials: critical issues and challenges. Trials. 2012 Jul 20;13:111. doi: 10.1186/1745-6215-13-111.

Reference Type: BACKGROUND

PMID: 22812577 (View on PubMed)

Burgess E, Hassmen P, Pumpa KL. Determinants of adherence to lifestyle intervention in adults with obesity: a systematic review. Clin Obes. 2017 Jun;7(3):123-135. doi: 10.1111/cob.12183. Epub 2017 Mar 15.

Reference Type: BACKGROUND

PMID: 28296261 (View on PubMed)

Young C, Campolonghi S, Ponsonby S, Dawson SL, O'Neil A, Kay-Lambkin F, McNaughton SA, Berk M, Jacka FN. Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions. J Nutr Educ Behav. 2019 Jun;51(6):719-739. doi: 10.1016/j.jneb.2019.03.006. Epub 2019 Apr 27.

Reference Type: BACKGROUND

PMID: 31036500 (View on PubMed)

Paddon-Jones D, Leidy H. Dietary protein and muscle in older persons. Curr Opin Clin Nutr Metab Care. 2014 Jan;17(1):5-11. doi: 10.1097/MCO.0000000000000011.

Reference Type: BACKGROUND

PMID: 24310053 (View on PubMed)

Eyles HC, Mhurchu CN. Does tailoring make a difference? A systematic review of the long-term effectiveness of tailored nutrition education for adults. Nutr Rev. 2009 Aug;67(8):464-80. doi: 10.1111/j.1753-4887.2009.00219.x.

Reference Type: BACKGROUND

PMID: 19674343 (View on PubMed)

Klasnja P, Pratt W. Healthcare in the pocket: mapping the space of mobile-phone health interventions. J Biomed Inform. 2012 Feb;45(1):184-98. doi: 10.1016/j.jbi.2011.08.017. Epub 2011 Sep 9.

Reference Type: BACKGROUND

PMID: 21925288 (View on PubMed)

Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, Jang HC, Kang L, Kim M, Kim S, Kojima T, Kuzuya M, Lee JSW, Lee SY, Lee WJ, Lee Y, Liang CK, Lim JY, Lim WS, Peng LN, Sugimoto K, Tanaka T, Won CW, Yamada M, Zhang T, Akishita M, Arai H. Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. J Am Med Dir Assoc. 2020 Mar;21(3):300-307.e2. doi: 10.1016/j.jamda.2019.12.012. Epub 2020 Feb 4.

Reference Type: BACKGROUND

PMID: 32033882 (View on PubMed)

World Health Organization. The Asia-Pacific perspective: redefining obesity and its treatment. February 2000. Accessed 10 Jan 2024. https://iris.who.int/bitstream/handle/10665/206936/0957708211_eng.pdf

Reference Type: BACKGROUND

Pavasini R, Guralnik J, Brown JC, di Bari M, Cesari M, Landi F, Vaes B, Legrand D, Verghese J, Wang C, Stenholm S, Ferrucci L, Lai JC, Bartes AA, Espaulella J, Ferrer M, Lim JY, Ensrud KE, Cawthon P, Turusheva A, Frolova E, Rolland Y, Lauwers V, Corsonello A, Kirk GD, Ferrari R, Volpato S, Campo G. Short Physical Performance Battery and all-cause mortality: systematic review and meta-analysis. BMC Med. 2016 Dec 22;14(1):215. doi: 10.1186/s12916-016-0763-7.

Reference Type: BACKGROUND

PMID: 28003033 (View on PubMed)

Liu P, Ma F, Lou H, Zhu Y. Utility of obesity indices in screening Chinese postmenopausal women for metabolic syndrome. Menopause. 2014 May;21(5):509-14. doi: 10.1097/GME.0b013e3182a170be.

Reference Type: BACKGROUND

PMID: 23963310 (View on PubMed)

American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5). American Psychiatric Association.

Reference Type: BACKGROUND

InBody. (2024). InBody S10. https://inbodyusa.com/products/inbodyS10/

Reference Type: BACKGROUND

Yin YH, Liu JYW, Valimaki M. Dietary behaviour change intervention for managing sarcopenic obesity among community-dwelling older people: a pilot randomised controlled trial. BMC Geriatr. 2023 Sep 26;23(1):597. doi: 10.1186/s12877-023-04327-w.

Reference Type: BACKGROUND

PMID: 37752447 (View on PubMed)

Liu J ZY, Lo K, et al,. Effects of an Individualized Dietary Behavioural Change (IDBC) Programme and Exercise Training in combination or separately on managing sarcopenic obesity in community-dwelling older adults: A Randomized Controlled Trial (ongoing GRF project).

Reference Type: BACKGROUND

Liu, JYW. (2023). Things to know about Sarcopenic Obesity: A dietary guide for older adults with muscle loss and excessive body fat. School of Nursing, The Hong Kong Polytechnic University.

Reference Type: BACKGROUND

Kraus WE, Bhapkar M, Huffman KM, Pieper CF, Krupa Das S, Redman LM, Villareal DT, Rochon J, Roberts SB, Ravussin E, Holloszy JO, Fontana L; CALERIE Investigators. 2 years of calorie restriction and cardiometabolic risk (CALERIE): exploratory outcomes of a multicentre, phase 2, randomised controlled trial. Lancet Diabetes Endocrinol. 2019 Sep;7(9):673-683. doi: 10.1016/S2213-8587(19)30151-2. Epub 2019 Jul 11.

Reference Type: BACKGROUND

PMID: 31303390 (View on PubMed)

Bauer J, Biolo G, Cederholm T, Cesari M, Cruz-Jentoft AJ, Morley JE, Phillips S, Sieber C, Stehle P, Teta D, Visvanathan R, Volpi E, Boirie Y. Evidence-based recommendations for optimal dietary protein intake in older people: a position paper from the PROT-AGE Study Group. J Am Med Dir Assoc. 2013 Aug;14(8):542-59. doi: 10.1016/j.jamda.2013.05.021. Epub 2013 Jul 16.

Reference Type: BACKGROUND

PMID: 23867520 (View on PubMed)

Deutz NE, Bauer JM, Barazzoni R, Biolo G, Boirie Y, Bosy-Westphal A, Cederholm T, Cruz-Jentoft A, Krznaric Z, Nair KS, Singer P, Teta D, Tipton K, Calder PC. Protein intake and exercise for optimal muscle function with aging: recommendations from the ESPEN Expert Group. Clin Nutr. 2014 Dec;33(6):929-36. doi: 10.1016/j.clnu.2014.04.007. Epub 2014 Apr 24.

Reference Type: BACKGROUND

PMID: 24814383 (View on PubMed)

U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov.

Reference Type: BACKGROUND

Guerra RS, Amaral TF. Comparison of hand dynamometers in elderly people. J Nutr Health Aging. 2009 Dec;13(10):907-12. doi: 10.1007/s12603-009-0250-3.

Reference Type: BACKGROUND

PMID: 19924352 (View on PubMed)

Schwarzer, R., & Renner, B. (2009). Health-specific self-efficacy scales. Freie Universität Berlin, 14, 2009.

Reference Type: BACKGROUND

He, X. Y., & Liu, X. Q. (2010). Evaluation of reliability and validity of Mini-nutritional assessment and Chinese nutrition screen. Nurs J Chin People's Liberation Army, 27, 894-6.

Reference Type: BACKGROUND

Kim S, Haines PS, Siega-Riz AM, Popkin BM. The Diet Quality Index-International (DQI-I) provides an effective tool for cross-national comparison of diet quality as illustrated by China and the United States. J Nutr. 2003 Nov;133(11):3476-84. doi: 10.1093/jn/133.11.3476.

Reference Type: BACKGROUND

PMID: 14608061 (View on PubMed)

Yang YJ, Kim MK, Hwang SH, Ahn Y, Shim JE, Kim DH. Relative validities of 3-day food records and the food frequency questionnaire. Nutr Res Pract. 2010 Apr;4(2):142-8. doi: 10.4162/nrp.2010.4.2.142. Epub 2010 Apr 28.

Reference Type: BACKGROUND

PMID: 20461203 (View on PubMed)

Wang HM, Patrick DL, Edwards TC, Skalicky AM, Zeng HY, Gu WW. Validation of the EQ-5D in a general population sample in urban China. Qual Life Res. 2012 Feb;21(1):155-60. doi: 10.1007/s11136-011-9915-6. Epub 2011 Apr 20.

Reference Type: BACKGROUND

PMID: 21505881 (View on PubMed)

Food Processor® software [Computer software]. (2023). Retrieved from https://esha.com/products/food-processor/

Reference Type: BACKGROUND

Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.

Reference Type: BACKGROUND

Krippendorff K. (2018). Content analysis: An introduction to its methodology. SAGE Publications, Inc.

Reference Type: BACKGROUND

Bellg AJ, Borrelli B, Resnick B, Hecht J, Minicucci DS, Ory M, Ogedegbe G, Orwig D, Ernst D, Czajkowski S; Treatment Fidelity Workgroup of the NIH Behavior Change Consortium. Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol. 2004 Sep;23(5):443-51. doi: 10.1037/0278-6133.23.5.443.

Reference Type: BACKGROUND

PMID: 15367063 (View on PubMed)

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