Diagnosis of Sarcopenia in Geriatrics using Actigraph wGT3XBT Accelerometer: A Narrative Review
Analysis
DOI:
https://doi.org/10.55175/cdk.v52i10.1421Keywords:
Accelerometer, Actigraph wGT3X-BT, elderly, sarcopeniaAbstract
Sarcopenia is a degenerative condition of age-related decline in muscle mass and strength. The worldwide occurrence of sarcopenia varied from 8% to 36% in those under the age of 60, and from 10% to 27% in those aged 60 and above. There is 9.92% or around 26.82 million, elderly people in Indonesia. Several studies have stated that in 2020, the incidence of sarcopenia in Indonesia ranged from 9.1% to 59%. Various studies have shown that accelerometers can provide a quantitative measurement of physical activity, positively correlated with muscle mass and strength in the elderly. Accelerometers, particularly the Actigraph wGT3X-BT, offer an objective approach to measuring physical activity and provide important insights into sarcopenia. Accelerometers offer an unbiased method for quantifying physical activity, offering valuable information on sarcopenia, and serving as a clinical diagnostic tool for this disorder characterized by reduced muscle mass and function. Literature review suggests that the Actigraph wGT3X-BT accelerometer has great potential for early detection and diagnosis of sarcopenia. The integrated use of this technology is expected to improve the accuracy of diagnosis and enable more effective interventions, thereby improving the quality of life of the elderly in Indonesia.
Downloads
References
Lintin G, Miranti. Hubungan penurunan kekuatan otot dan massa otot dengan proses penuaan pada individu lanjut usia yang sehat secara fisik. J Kes Tadulako. 2019;5:1–62. doi: 10.22487/HTJ.V5I1.105. PMID: 38033420.
Njoto EN, Aryana IGPS. Sarkopenia pada lanjut usia: patogenesis, diagnosis dan tata laksana. J Peny Dalam Indon. 2023;10(3):164–73. doi: 10.7454/jpdi.v10i3.1444.
Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 2019;48(1):16–31. doi: 10.1093/ageing/afy169.
Mellen RH, Girotto OS, Marques EB, Laurindo LF, Grippa PC, Mendes CG, et al. Insights into pathogenesis, nutritional and drug approach in sarcopenia: a systematic review. Biomedicines 2023;11(1):136. doi: 10.3390/biomedicines11010136.
Amanda F, Arsyad N. Gambaran kekuatan otot tangan dan massa otot serta performa fisik terkait potensi sarkopenia pada lansia. Indon J Physiother. 2024;4(1):14–8.
De Jaka PS. Lebih dekat dengan sarkopenia: permasalahan populasi geriatri [Internet]. 2023. Available from: https://sejawat.co.id/articles/lebihdekat-dengan-sarkopenia-permasalahan-populasi-geriatri-1673761276.
Harimurti K, Setiati S, Soejono CH, Aryana IS, Sunarti S, Budiningsih F, et al. Sarcopenia in a multiethnic state: a cross-sectional data analysis of multicentre Indonesia longitudinal aging study. Acta Med Indones. 2023;55(1):63-9. PMID: 36999256.
Pratiwi YS, Lesmana R, Setiawan, Purba A. Autophagy dan sarkopenia. Syifa’Medika. 2019;10(1):31–45. https://doi.org/10.32502/SM.V10I1.1781.
Mustapoevich DT, Kim W. Machine learning applications in sarcopenia detection and management: a comprehensive survey. Healthcare. 2023;11(18):2483. doi: 10.3390/healthcare11182483.
Scott D, Johansson J, Gandham A, Ebeling PR, Nordstrom P, Nordstrom A. Associations of accelerometer-determined physical activity and sedentary behavior with sarcopenia and incident falls over 12 months in community-dwelling Swedish older adults. J Sport Health Sci. 2021;10(5):577–84. doi: 10.1016/j.jshs.2020.01.006.
Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, et al. Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc. 2020;21(3):300-307.e2. doi: 10.1016/j.jamda.2019.12.012.
Gao Z, Liu W, McDonough DJ, Zeng N, Lee JE. The dilemma of analyzing physical activity and sedentary behavior with wrist accelerometer data: challenges and opportunities. J Clin Med. 2021;10(24):5951. doi: 10.3390/jcm10245951.
Rowe VT, Neville M. Measuring reliability of movement with accelerometry: Fitbit versus ActiGraph. Am J Occup Ther. 2019;73(2):7302205150p1–6. doi: 10.5014/ajot.2019.030692
Thornton CB, Kolehmainen N, Nazarpour K. Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population. PLOS Digit Health. 2023;2(4):e0000220. doi: 10.1371/journal.pdig.0000220.
Veen J, Montiel-Rojas D, Nilsson A, Kadi F. Engagement in muscle-strengthening activities lowers sarcopenia risk in older adults already adhering to the aerobic physical activity guidelines. Int J Environ Res Public Health. 2021;18(3):989. doi: 10.3390/ijerph18030989.
Airlie J, Forster A, Birch KM. An investigation into the optimal wear time criteria necessary to reliably estimate physical activity and sedentary behaviour from ActiGraph wGT3X+ accelerometer data in older care home residents. BMC Geriatr. 2022;22(1):136. doi: 10.1186/s12877-021-02725-6.
Aadland E, Ylvisaker E. Reliability of the Actigraph GT3X+ accelerometer in adults under free-living conditions. PLoS One 2015;10(8):e0134606. doi: 10.1371/journal.pone.0134606.
Zhu C, Du Y, Zhao Y. Subjective and objective physical activity measurement methods for the prediction of possible sarcopenia. Med Discoveries. 2023;2(3):3-4. doi: 10.52768/2766-7820/2269.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Fatmanur Hurulhanifa, Nimas Adiani Sekar Laranti, Hanifa Nur Shabrina, Norina Agatri, Gembong Satria Mahardhika
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
