Sacropenic ObesityNCT07867795
Effects of the EatWelLog App on Enhancing Diet Management for Older Adults With Sarcopenic Obesity
A study testing Dietary Modification programme, Exercise Training and The EatWelLog App in people with Sacropenic Obesity, run by The Hong Kong Polytechnic University at 1 site in Hong Kong.
Trial summary
Background: Sarcopenic obesity (SO) affects 10% of older adults increased to 23% of those 75+, raising health risks and health cost. Objectives: We will evaluate the effects of the EatWelLog App-based intervention on SO status (primary outcome), and nutritional and exercise parameters (secondary outcomes) by enhancing… Read more about this study
- Who is it for?
- Ages 50 years and older
- Conditions the study is for
- Sacropenic Obesity
- What is being tested?
- Dietary Modification programme, Exercise Training and The EatWelLog App
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 212 participants
- Where
- 1 siteHong Kong
- Study dates
- 1 Oct 2026to 30 Sep 2029
- Phase
- Interventional
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Community-dwelling older people aged > 50 years;
- Meeting the diagnostic criteria of sarcopenia according to the Asian Sarcopenia Working Group (ASWG) which include:
- Sarcopenia refers to the fulfillment both of the following criteria: For participants aged 50-64: low handgrip strength < 34 kg for men and < 20 kg for women, low muscle quality as reflected by low appendicular skeletal muscle mass (ASM) /height squared < 7.6 kg/m2 for men and <5.7 kg/m2 for women. For participants aged 65 or above: handgrip strength <28kg (men) and <18 kg (women); appendicular skeletal muscle mass (ASM)/ height2 <7 kg/m2 (men) and <5.7 kg/m2 (women).
- Obesity refers to the fulfillment of one of the following criteria: Body Mass Index (BMI) ≥ 25kg/m2 or waist circumference ≥ 90 cm in men and ≥ 80 cm in women, or percentage of body fat > 30%.
- Able to communicate, read, and write in Chinese without significant hearing and vision problems to ensure that our instructions are understood; and • Own a smartphone, and able to access the internet at home or elsewhere.
Who cannot join
- With any form of disease or condition that might affect food intake and digestion (such as severe heart or lung diseases, renal diseases, diabetes, cancer, or autoimmune diseases);
- Taking medications that may influence eating behaviour, digestion, or metabolism (such as weight loss medication);
- With alcohol use disorder as defined by DSM-5, potentially hindering dietary behaviour changes; and
- Having any medical implant device such as a pacemaker, because low-level currents will flow through the body when doing the bioelectric impedance analysis (BIA by InBody S10, Korea), which may cause the device to malfunction.
- Have a Functional Ambulatory Classification (FAC) score of <7, indicating impaired mobility to participate in exercise training.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Effects of the EatWelLog App on Enhancing Daily Diet Management for Community-dwelling Older Adults With Sarcopenic Obesity: A Randomized Controlled Trial (RCT)
Background: Sarcopenic obesity (SO) affects 10% of older adults increased to 23% of those 75+, raising health risks and health cost.
Objectives: We will evaluate the effects of the EatWelLog App-based intervention on SO status (primary outcome), and nutritional and exercise parameters (secondary outcomes) by enhancing self-management and sustaining diet adherence among the m-Health group using the App versus the control group. Following verification of the intervention's effectiveness, we will analyse its cost-effectiveness.
Read more
Design and subjects: Randomized controlled trial with 212 older people with SO. Interventions: The m-Health group will receive an 8-week supervised nutrition and exercise programme, incorporating the EatWelLog App for dietary management during and after the supervised programme. The control group will receive the same programme without the App.
Main outcome measures and analysis: The primary outcome is SO status evaluated using handgrip strength, muscle mass, body fat mass, and physical performance.
Secondary outcomes include nutritional status, quality of life and exercise adherence. The App intervention's costeffectiveness will be analysed.
Expected results: The m-Health group should demonstrate greater, more sustained improvements in SO and secondary outcomes compared to the control group at Week 8, and at the 3-, 6-, 9-, and 12-month follow-ups. Clinical significance: The EatWelLog App could provide customized support, enhance dietary adherence, and improve long-term outcomes, offering a novel, economical approach to SO management.
Read the detailed description
Background Sarcopenic obesity (SO), characterized by reduced muscle mass alongside excess body fat, affects 9.95% of Chinese1 and 11% worldwide2, with prevalence exceeding 23% among those 75+1,2.. SO poses greater risks of osteoarthritis, cardio-metabolic diseases, institutionalization, and mortality, than sarcopenia or obesity alone3. Healthcare costs for obese individuals are triple those of individuals with normal BMI (US$16,348 vs US$5,814)4. Sarcopenia alone accounted for an estimated US$18.5 billion in 2000 (1.5% of total healthcare expenditures), with a 10% reduction in prevalence potentially saving US$1.1 billion5. SO's economic burden likely amplifies these costs, highlighting the need for targeted interventions.
Mobile health (m-Health) applications offer a convenient, personalized, and cost-effective alternative to traditional care. Features such as self-monitoring, automated feedback, and interactive messaging enhance treatment adherence, foster peer support, and overcome the barriers of in-person consultations6,7. While evidence shows apps significantly improve nutritional behaviors in chronic disease management, maintaining long-term user engagement remains a challenge8.
Currently, a critical research gap exists: no nutritional app specifically targets SO to support mandatory low-calorie, high-protein diets. The proposed EatWelLog App aims to bridge this gap. By encouraging healthy dietary habits, evaluating long-term usage data, and linking engagement patterns to health outcomes, this digital intervention has the potential to revolutionize SO management and deliver sustainable, cost-effective health outcomes.
Study Objectives \& Hypotheses Objectives: The study aims to evaluate the effects of an mHealth-based intervention using the EatWelLog App, developed by our research team, to empower people's self-management of a healthy diet and thereby improve their sarcopenic obesity status. The expected benefits include reducing body fat and improving muscle health.
Hypotheses: Compared with the control group receiving the same supervised nutrition and exercise programme without the App, the mHealth group using the App during and after the supervised programme will demonstrate sustained improvements in sarcopenic obesity status.
Study Design \& Methodology Study Design: The study will adopt a two-arm, assessor-blinded, parallel-group randomized controlled trial design.
- An m-Health group receiving an 8-week supervised nutrition and exercise programme, and training to incorporate the App for daily dietary management,
- A control group receiving the identical 8-week supervised programme without the App.
Participants:
Sample size: 212 (106 per group) community-dwelling older people with SO
Inclusion criteria:
- Age 50+;
- Having SO according to the Asian Working Group for Sarcopenia (AWGS)9 and the WHO's obesity criteria for Asians9:
- Early-stage sarcopenia refers to the fulfillment both of the following criteria:
- For participants aged 50-64: low handgrip strength < 34 kg for men and < 20 kg for women, low muscle quality as reflected by low appendicular skeletal muscle mass (ASM) /height squared < 7.6 kg/m2 for men and <5.7 kg/m2 for women. For participants aged 65 or above: handgrip strength <28kg (men) and <18 kg (women); appendicular skeletal muscle mass (ASM)/ height2 <7 kg/m2 (men) and <5.7 kg/m2 (women).
- Obesity is indicated by BMI ≥25 kg/m2, waist circumference ≥90 cm (men) and ≥80 cm (women)9, or body fat >30%10. fulfil either one criterion to indicate the status of obesity.
- Smartphone owners with internet access
- Chinese (Cantonese) literacy and no significant sensory impairments
Exclusion criteria: Individuals who:
- have diseases that impact digestion or food consumption, including severe cardiac/ pulmonary/ renal diseases, diabetes, cancer, or autoimmune disorders.
- are on medications that affect eating habits/ digestion/ metabolism, such as weight loss drugs.
- have alcohol use disorder as defined by the Manual of Mental Disorder (DSM-5), which may hinder dietary behaviour changes.
- have medical implants like pacemakers that could be disrupted by the low-level electrical currents of the bioelectric impedance analysis (BIA).
- have a Functional Ambulatory Classification (FAC)11 score of <7, indicating impaired mobility to participate in exercise training
Focus group: Thirty m-Health participants will be divided into 5-8 focus group (4-6 participants per group) for interviewed by a trained research assistant (RA) to understand their App user experiences.
Interventions:
Both groups will separately receive an 8-week supervised programme including a personalized dietary modification programme and group-based exercise. The research team's involvement will conclude after the programme for both groups. However, the m-Health group will continue using the App for daily dietary self-management during and after the programme.
The 8-week Intervention components for both the m-Health and control groups:
- Dietary modification programme: aims to improve the participants' self-efficacy in adopting our previously validated diet regimen*12,13. It includes eight personalized, one-hour, face-to-face sessions.
- *Dietary Regimen: a moderate hypocaloric diet reduces daily energy intake by 12% for steady weight loss while preserving muscle mass9. To address the reduced anabolic response in older people, a protein intake of 1.5 g/kg of body weight per day is recommended, with leucine-rich animal proteins prioritized to enhance muscle development9.
- Exercise Training: involves weekly one-hour group sessions for 8 weeks, with groups of approximately ten. The training combines resistance and aerobic exercises to increase muscle mass and strength while reducing fat in SO individuals7. Each session includes a 10-minute warm-up and cool-down period, 20 minutes of resistance training, and 20 minutes of brisk walking, supervised by an instructor for practice and feedback. Participants will receive a YouTube link and pamphlet detailing exercises to follow 30 minutes daily, five times a week, during and after the programme.
Intervention components for the m-Health group:
- The EatWelLog App: designed for older people with SO, incorporates Klasnja and Pratt's m-health development framework to facilitate health behavioural change7 by integrating BCT14 to support ongoing adherence to dietary regimens.
The control condition:
- After the 8-week programme (identical to the mHealth group but conducted separately), the control group will be encouraged to follow dietary and exercise guidelines independently, with no further formal interactions or training. To ensure they are not deprived of the App's benefits, they will receive a training session on using the App and full access to it after completing the 12-month follow up.
- Conditions
- Sacropenic Obesity
- Being tested
- Dietary Modification programme, Exercise Training, The EatWelLog App
- Keywords
- Sacropenic Obesity, m-health, dietary intervention, behaviour change, exercise
- Medical subject headings
- Motor Activity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Dietary Modification programmeBehavioural
- This programme aims to improve the participants' self-efficacy in adopting our previously validated diet regimen*. It includes 3 personalized, one-hour, face-to-face sessions in weeks 1, 3 and 7 conducted by a dietitian plus 5 dietary related health talks in the remaining weeks (i.e. Week 2, 4-6, 8)
- Dietary Regimen: a moderate hypocaloric diet reduces daily energy intake by 12% for steady weight loss while preserving muscle mass9. To address the reduced anabolic response in older people, a protein intake of 1.5 g/kg of body weight per day is recommended, with leucine-rich animal proteins prioritized to enhance muscle development9
Exercise TrainingBehavioural
Participants will receive an 8-week exercise training during the programme. The training combines resistance and aerobic exercises to increase muscle mass and strength while reducing fat in individual with SO. Participants will receive a YouTube link and pamphlet detailing exercises to follow 30 minutes daily, five times a week, during and after the programme.
The EatWelLog AppBehavioural
Participants in the M-health group will be instructed to use the EatWelLog 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. Nutritional recommendations will be also be provided according to individuals' demographic information.
| Study group | Role | What they receive |
|---|---|---|
| M-Health Group | Experimental | M-Health group will receive an 8-week supervised nutrition and exercise programme, and training to incorporate the EatWelLog App for daily dietary management. Receives: Behavioral: Dietary Modification programme; Behavioral: Exercise Training; Behavioral: The EatWelLog App |
| Control Group | Sham comparator | Control group will receive the identical 8-week supervised programme without using the EatWelLog App. Receives: Behavioral: Dietary Modification programme; Behavioral: Exercise Training |
What is being measured
The primary outcome is the main question the study is designed to answer.
Muscle Strength
Handgrip strength (kg) will be measured by using a Takei TKK5401 digital hand dynamometer.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program
Muscle Quantity
Muscle mass (kg) will be measured by using bioelectrical impedance analysis (InBody S10, Korea).
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Body Mass Index (BMI)
The weight and height will be combined to report BMI in kg/m^2.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Waist Circumference
Waist circumference was taken as the minimum circumference between the umbilicus and xiphoid process and measured to the nearest 0.5 cm.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Fat Mass
Fat mass (kg) will be measured by using bioelectrical impedance analysis (S10, Korea).
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
The Short Physical Performance Battery (SPPB) scale
The Short Physical Performance Battery (SPPB) scale will be used to measure physical function, which is a well-established tool for monitoring function in older people, which contains three kinds of assessments: stand for 10 seconds with feet in 3 different positions, 3-meter or 4-meter walking speed test, and time to rise from a chair for five times. The scores of SPPB range from 0 (worst performance) to 12 (best performance). The minimum and maximum values are 0 and 10 respectively. Higher scores mean a better performance.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Secondary outcomes (8)
Mini Nutritional Assessment (MNA) Short-form
Participants' nutritional status will be assessed through the Mini Nutritional Assessment (MNA). It is a simple and quick tool for assessing older people who are malnourished or at risk of malnutrition. The MNA Short-form contains 6 items. Questions are weighted, 2-3 points per item. Scores are categorised as 0-7 (malnourished), 8-11 (at risk of malnutrition), 12-14 (normal nutritional status). The minimum and maximum values are 0 and 14 respectively. Higher scores mean a better nutritional status.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Health Action Process Approach (HAPA) Nutrition Self-efficacy Scale
The nutrition self-efficacy scale is one part of the Health-Specific Self-efficacy Scale. The nutritional self-efficacy scale is a 5-item scale, and each item is rated on 4-point likert scale from 1= very uncertain, 2=rather uncertain, 3=rather certain, 4=very certain. Higher score means higher self-efficacy. The minimum and maximum values are 0 and 20 respectively. Higher scores mean a higher self-efficacy.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Dietary Quality Index-International (DQI-I)
The DQI-I will be used to estimate the dietary quality of participants. It is a well-used questionnaire without being affected by culture. The total scores range from 0 to 100, with a higher score representing better diet quality. The minimum and maximum values are 0 and 100 respectively. Higher scores mean a better diet quality.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
EuroQoL 5D-5L (EQ-5D-5L)
The EQ-5D-5L comprises five dimensions of health: mobility, self-care, usual activities, pain / discomfort, and anxiety/depression. Each of them has five severity levels: no problems, slight problems, moderate problems, severe problems, or extreme problems, and a 0-100 points visual analogue scale (EQ VAS). The ratings from the five categories can be transformed into a utility index score by utilizing the scores derived from the preference weights of the general population in Hong Kong. The utility score generally ranges from less than 0 to 1. A higher score indicates higher health utility. The EQ VAS ranges from 0 to 100, with higher scores indicate better imaginable health.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Diet Adherence
The adherence of total caloric and other nutrient intakes will be analyzed by a software program "Food Processor®". If any participant forgets to keep the dietary record, the dietitian will employ the 3-day food recall method to check their food intake, a standard approach in nutritional studies. Participants' consultation session attendance rates will also be monitored.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Exercise Adherence
Assessed based on attendance in the weekly exercise training sessions and self-reported adherence to the exercise regimen on an 11-point Likert scale with 0 = poorest compliance; 10 = highest compliance.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Mobile Application Rating Scale (uMARS)
The uMARS is used to assess the app usage experience among participants in M-health group. Participants will also be invited in focus groups at the 3- and 12-month follow-ups to explore the participants' perceptions of the usefulness, ease of use, attitude toward using, and intention to use the App.
Measured: From 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Health service utilization
Health service utilization will be collected using a self-reported questionnaire, capturing the number, frequency, reasons, and duration of hospital stays, emergency room and clinical visits at each measurement point.
Measured: From baseline (T0) to 8 weeks (T1), 3 months (T2), 6 months (T3), 9 months (T4), and 12 months (T5) after completing the program.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Oct 2026
- Study start1 Oct 2026 (estimated)
- Primary completion31 Mar 2029 (estimated)
- Study completion30 Sep 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (41)Papers the sponsor has linked to this study.
- Other trials for Sacropenic ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- A two-arm, assessor-blinded, parallel design randomized control trial (RCT) consisting of a M-health and a control group will be adopted to evaluate the effectiveness of the EatWelLog App in improving older adults' sarcopenic obesity (SO) status and other SO-related elements.
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 212 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The Hong Kong Polytechnic University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Dr. Justina Liu Yat Wa, The Hong Kong Polytechnic University
- Investigators
- Justina Liu, PhD, Principal investigator, The Hong Kong Polytechnic University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07867795
- Sponsor's protocol ID
- HSEARS20251010003-01
- Status last verified
- Oct 2026
- First submitted
- 5 Oct 2026
- Last updated
- 9 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: For confidentiality, The research team will collect and use only the minimum amount of personal data necessary. All personal data will be handled in accordance with the Personal Data (Privacy) Ordinance of Hong Kong. Each participant will be assigned a unique study identification code, and no identifying information will appear in any reports or publications. All research records will be stored securely in password protected electronic systems and/or locked cabinets, accessible only to authorized research personnel.
Publications
Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2016). Mobile application rating scale: A new tool for assessing the quality of health mobile applications (User version: uMARS). JMIR mHealth and uHealth, 4(2), e72. https://doi.org/10.2196/mhealth.3422
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.
PubMed 15367063Wang 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.
PubMed 21505881Yang 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.
PubMed 20461203Kim 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.
PubMed 14608061Schwarzer R, Renner B. Health-specific self-efficacy scales. Freie Universität Berlin. 2009;14:2009.
USDA FoodData Central. Accessed 31 Aug 2023. https://fdc.nal.usda.gov/index.html
Kim H, Kim M, Kojima N, Fujino K, Hosoi E, Kobayashi H, Somekawa S, Niki Y, Yamashiro Y, Yoshida H. Exercise and Nutritional Supplementation on Community-Dwelling Elderly Japanese Women With Sarcopenic Obesity: A Randomized Controlled Trial. J Am Med Dir Assoc. 2016 Nov 1;17(11):1011-1019. doi: 10.1016/j.jamda.2016.06.016. Epub 2016 Aug 17.
PubMed 27544583Rosanna Chau MW, Chan SP, Wong YW, Lau MYP. Reliability and validity of the Modified Functional Ambulation Classification in patients with hip fracture. Hong Kong Physiotherapy Journal. 2013/06/01/ 2013;31(1):41-44. doi:https://doi.org/10.1016/j.hkpj.2013.01.041
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.
PubMed 23963310Pavasini 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.
PubMed 28003033Rafique H, Almagrabi AO, Shamim A, Anwar F, Bashir AK. Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM). Computers & Education. 2020/02/01/ 2020;145:103732. doi:https://doi.org/10.1016/j.compedu.2019.103732
WHO. The Asia-Pacific perspective: redefining obesity and its treatment. 2000;
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.
PubMed 32033882He X, Liu X. Evaluation of reliability and validity of Mini-nutritional assessment and Chinese nutrition screen. Nurs J Chin People's Lib Army. 2010;27(6B):894-896.