Appendicular Skeletal Muscle Mass Study
SmmS
1 other identifier
observational
500
1 country
1
Brief Summary
There is a lot of discussion concerning the normal cut-off points of skeletal mass among different populations worldwide. Genetic and environmental differences most probably lead to different measurements. Defining muscle mass in healthy young adults in Greece will provide information that can be used to determine normal ranges of muscle mass of both sexes and consequently define sarcopenia. The aim of the study is to define appendicular skeletal muscle mass reference measurements in healthy young adults in Greece. These values can be used to determine sarcopenia cut-offs according to recommendations.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2020
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 1, 2020
CompletedFirst Submitted
Initial submission to the registry
September 3, 2020
CompletedFirst Posted
Study publicly available on registry
October 14, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2022
CompletedOctober 14, 2020
October 1, 2020
1.6 years
September 3, 2020
October 12, 2020
Conditions
Outcome Measures
Primary Outcomes (3)
Appendicular skeletal muscle mass reference measurements of healthy young adults in Greece
Measurements of appendicular skeletal muscle mass of healthy young adults in Greece that will be used to define sarcopenia in older adults and as normative values.
01/06/2022
Define reference measurements for muscle strength.
Reference measurements for hand grip
01/06/2022
Define reference measurements for muscle performance
Reference measurements for walking speed
01/06/2022
Secondary Outcomes (5)
Correlations between the different tools used to measure muscle mass
01/06/2022
Correlation of muscle mass with demographic characteristics
01/06/2022
Correlation of bone mass with demographic characteristics
01/06/2022
Correlation of fat mass with demographic characteristics
01/06/2022
Correlation of adherence to Mediterranean diet with muscle mass
01/06/2022
Study Arms (2)
Healthy adult men
Healthy young men, 20- 44 years old
Healthy adult women
Healthy young women, 20- 44 years old
Interventions
Evaluation of the appendicular muscle mass of the limbs will be performed by Dual-Energy X-ray Absorptiometry, using a QDR 4500. Body composition analysis will also be evaluated with TANITA Body Composition Analyzer device,model BC-418MA. Bioelectrical Impedance Analysis measures the body composition using a constant power source (high frequency current 50kHz, 90 μA). Muscle mass is also going to be measured by using ultrasound -U/S. It measures basic parameters such as muscle volume and spectrum length through the B-Mode imaging with Linear 7-12MHz frequency heads that can reliably determine the thickness and transverse incisions of the superficial muscular Groups.
Eligibility Criteria
The study population will be healthy adults that meet the inclusion criteria and can have access to the study site. The recruitment will be performed using the snowball sampling technique (for instance, through printed material, the marketing department of the hospital, social media (Facebook/Instagram/Twitter), advertising banners, etc.). We will also invite participants from nearby academic institutions, organizations, municipalities, etc. It is foreseen to include 500 participants in the study.
You may qualify if:
- Healthy Greek young adults (20 - 44 years old), with Caucasian characteristics.
- Able to read and write in Greek language.
You may not qualify if:
- Chronic diseases, such as, heart diseases, type II diabetes mellitus and autoimmune diseases.
- Hyperthyroidism or hypothyroidism (persons with normal thyroid function for six months are included).
- Malignancies.
- Seizures of epilepsy, neurodegenerative diseases.
- Asthma and/or chronic respiratory pulmonary disease-Chronic Obstructive Pulmonary Disease.
- Metal prefixes.
- Pacemaker.
- Systematic medication intake (such as hypolipemic drugs, antihypertensive drugs, antidepressants, glucocorticoids and any other hormonal treatment).
- Protein formulations and anabolic intake.
- Hormone intake (testosterone, estrogen, contraceptive, growth hormone, dehydroepiandrosterone.
- Professional athletes and people with intense physical activity, intensive exercise with weights, long-distance runners (Marathons).
- Substance use or abuse (cocaine, heroin, amphetamines).
- Pregnancy.
- History of hospitalization in Intensive Care Unit
- History of serious injury
- +3 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Henry Dunant Hospital Center
Athens, Greece
Related Publications (12)
Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, Cooper C, Landi F, Rolland Y, Sayer AA, Schneider SM, Sieber CC, Topinkova E, Vandewoude M, Visser M, Zamboni M; Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019 Jul 1;48(4):601. doi: 10.1093/ageing/afz046. No abstract available.
PMID: 31081853RESULTBuckinx F, Landi F, Cesari M, Fielding RA, Visser M, Engelke K, Maggi S, Dennison E, Al-Daghri NM, Allepaerts S, Bauer J, Bautmans I, Brandi ML, Bruyere O, Cederholm T, Cerreta F, Cherubini A, Cooper C, Cruz-Jentoft A, McCloskey E, Dawson-Hughes B, Kaufman JM, Laslop A, Petermans J, Reginster JY, Rizzoli R, Robinson S, Rolland Y, Rueda R, Vellas B, Kanis JA. Pitfalls in the measurement of muscle mass: a need for a reference standard. J Cachexia Sarcopenia Muscle. 2018 Apr;9(2):269-278. doi: 10.1002/jcsm.12268. Epub 2018 Jan 19.
PMID: 29349935RESULTWong AK. A Comparison of Peripheral Imaging Technologies for Bone and Muscle Quantification: a Mixed Methods Clinical Review. Curr Osteoporos Rep. 2016 Dec;14(6):359-373. doi: 10.1007/s11914-016-0334-z.
PMID: 27796924RESULTMijnarends DM, Luiking YC, Halfens RJG, Evers SMAA, Lenaerts ELA, Verlaan S, Wallace M, Schols JMGA, Meijers JMM. Muscle, Health and Costs: A Glance at their Relationship. J Nutr Health Aging. 2018;22(7):766-773. doi: 10.1007/s12603-018-1058-9.
PMID: 30080217RESULTSchaap LA, van Schoor NM, Lips P, Visser M. Associations of Sarcopenia Definitions, and Their Components, With the Incidence of Recurrent Falling and Fractures: The Longitudinal Aging Study Amsterdam. J Gerontol A Biol Sci Med Sci. 2018 Aug 10;73(9):1199-1204. doi: 10.1093/gerona/glx245.
PMID: 29300839RESULTMalmstrom TK, Miller DK, Simonsick EM, Ferrucci L, Morley JE. SARC-F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes. J Cachexia Sarcopenia Muscle. 2016 Mar;7(1):28-36. doi: 10.1002/jcsm.12048. Epub 2015 Jul 7.
PMID: 27066316RESULTChang KV, Hsu TH, Wu WT, Huang KC, Han DS. Association Between Sarcopenia and Cognitive Impairment: A Systematic Review and Meta-Analysis. J Am Med Dir Assoc. 2016 Dec 1;17(12):1164.e7-1164.e15. doi: 10.1016/j.jamda.2016.09.013. Epub 2016 Nov 2.
PMID: 27816484RESULTAntunes AC, Araujo DA, Verissimo MT, Amaral TF. Sarcopenia and hospitalisation costs in older adults: a cross-sectional study. Nutr Diet. 2017 Feb;74(1):46-50. doi: 10.1111/1747-0080.12287. Epub 2016 Jun 13.
PMID: 28731551RESULTBeaudart C, Rizzoli R, Bruyere O, Reginster JY, Biver E. Sarcopenia: burden and challenges for public health. Arch Public Health. 2014 Dec 18;72(1):45. doi: 10.1186/2049-3258-72-45. eCollection 2014.
PMID: 25810912RESULTLourenco RA, Perez-Zepeda M, Gutierrez-Robledo L, Garcia-Garcia FJ, Rodriguez Manas L. Performance of the European Working Group on Sarcopenia in Older People algorithm in screening older adults for muscle mass assessment. Age Ageing. 2015 Mar;44(2):334-8. doi: 10.1093/ageing/afu192. Epub 2014 Dec 23.
PMID: 25539836RESULTPanagiotakos DB, Pitsavos C, Stefanadis C. Dietary patterns: a Mediterranean diet score and its relation to clinical and biological markers of cardiovascular disease risk. Nutr Metab Cardiovasc Dis. 2006 Dec;16(8):559-68. doi: 10.1016/j.numecd.2005.08.006. Epub 2006 Feb 9.
PMID: 17126772RESULTSoulis G, Zigkiri E, Perkisas S, Antoniou K, Maniati A, Galanos A, Georgiadis E, Koutsouri A. Muscle Mass Reference Values of Greek Adult Population: A Cross-Sectional Study for Sarcopenia Definition in Greece. J Musculoskelet Neuronal Interact. 2025 Dec 1;25(4):422-429. doi: 10.22540/JMNI-25-422.
PMID: 41324213DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Anastasia Koutsouri
Head of the Outpatient Geriatric Assessment Unit
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Target Duration
- 1 Day
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 3, 2020
First Posted
October 14, 2020
Study Start
June 1, 2020
Primary Completion
December 31, 2021
Study Completion
June 30, 2022
Last Updated
October 14, 2020
Record last verified: 2020-10
Data Sharing
- IPD Sharing
- Will not share