Journal List > J Yeungnam Med Sci > v.40(4) > 1516084787

Park, Shon, and Kim: Multidisciplinary approach to sarcopenia: a narrative review

Abstract

Sarcopenia is a condition in which muscle mass and strength are decreased and muscle function is impaired. It is an indicator of frailty and loss of independence in older adults. It is also associated with increased physical disability, which increases the risk of falls. As a multifactorial disease, sarcopenia is caused by a combination of factors including aging, hormonal changes, nutritional deficiencies, and physical inactivity. Understanding the underlying pathophysiology of sarcopenia and identifying its different causes is critical to developing effective prevention and treatment strategies. This review summarizes the pathophysiology, consequences, diagnostic methods, and multidisciplinary approaches to sarcopenia.

Introduction

Skeletal muscle is naturally wasted with age, and after the age of 65 years, this loss accelerates and can lead to negative consequences such as physical disability, falls, poor quality of life (QoL), and death [1,2]. Sarcopenia, characterized by the loss of skeletal muscle mass, strength, and function [3], is a common yet underrecognized age-related condition affecting millions of older adults worldwide [4,5]. The prevalence of sarcopenia increases with age, affecting approximately 10% of adults over the age of 65 years and up to 50% of those over 80 years [6,7]. Given the rapidly aging global population, sarcopenia poses significant challenges to individual health and well-being, as well as healthcare systems and economies [8,9].
As a multifactorial condition, sarcopenia arises from a complex interplay of factors, including aging, hormonal changes, nutritional deficiencies, and physical inactivity [10-12]. Understanding the underlying pathophysiology and identifying the various causes of sarcopenia are crucial for developing effective prevention and treatment strategies. From this perspective, a multidisciplinary approach to sarcopenia may be needed. Therefore, this narrative review aims to provide a comprehensive overview of the current understanding of causes, consequences, and multidisciplinary approaches of sarcopenia, while also highlighting future directions for research and public health initiatives.

Pathophysiology of sarcopenia

The pathophysiology of sarcopenia is multifaceted and not yet fully understood. However, it is known to involve the interplay of various factors that contribute to the decline in muscle mass, strength, and function. This section will delve into the key aspects of sarcopenia pathophysiology, including muscle mass decline, decreased muscle strength, reduced muscle function, and contributing factors.

1. Decline of muscle mass

Aging results in a progressive loss of muscle mass, with studies suggesting a reduction of approximately 3% to 8% per decade after the age of 30 years. This decline accelerates after the age of 60 years [13]. The age-related loss of muscle mass is not fully understood, and much research is still needed. The loss of muscle mass occurs due to a combination of factors, such as a decrease in the size and number of muscle fibers, particularly type II (fast-twitch) fibers, which are responsible for high-intensity, short-duration activities [11].

2. Decreased muscle strength

Muscle strength declines alongside muscle mass, resulting in a reduced capacity to generate force. This decline in strength is more pronounced in type II muscle fibers, leading to significant impairments in physical performance and mobility [14]. The decrease in muscle strength is influenced by both intrinsic (muscle-related) and extrinsic (neural and hormonal) factors [15,16]. Decreased muscle strength refers to a reduction in the ability of muscles to generate force. It can be caused by a number of factors, including aging, a sedentary lifestyle, certain medical conditions, and poor nutrition. Muscle mass and strength naturally decline with age, and a condition in which this change is rapid can be considered an aspect of sarcopenia.

3. Impaired muscle function

Sarcopenia also affects muscle function, which encompasses various aspects of muscle performance, such as power, endurance, and coordination [14]. Age-related changes in muscle architecture, the neuromuscular junction, and motor unit remodeling contribute to the decline in muscle function [17-19]. Moreover, the impaired ability to repair and regenerate muscle tissue after injury or disuse exacerbates the decline in muscle function in older adults [20,21].

4. Contributing factors

Several factors contribute to the pathophysiology of sarcopenia, as follows.

1) Aging

Age-related changes in muscle fibers, motor units, and the neuromuscular junction predispose older adults to sarcopenia.

2) Hormonal changes

Hormones such as testosterone, estrogen, growth hormone (GH), and insulin-like growth factor-1 (IGF-1) play crucial roles in maintaining muscle mass and function. The decline and dysregulation of these hormones can lead to sarcopenia [22,23]. The effects of testosterone on skeletal muscle can be explained by its anabolic effects, such as the differentiation of mesenchymal pluripotent cells, and its effects on motor neurons, such as the promotion of nerve regeneration [24]. The decline in testosterone levels with age causes a loss of muscle mass and strength. Estrogen is sometimes converted to testosterone, which is anabolic for muscle protein synthesis and can suppress inflammatory cytokines, which are catabolic for skeletal muscle. After menopause, women experience an accelerated loss of muscle mass and strength, which can be attributed to hormonal changes as well as a decrease in physical activity [25]. The role of GH in skeletal muscle function can be explained by its anti-inflammatory and anabolic effects. In particular, the effects of GH on muscle are mainly mediated by IGF-1, which is secreted by the liver and skeletal muscle and has a hypertrophic effect on skeletal muscle. In addition, secreted IGF-1 significantly downregulates proinflammatory cytokines such as tumor necrosis factor alpha and interleukin-1 beta [26]. In acute sarcopenia, such as following an acute illness or surgery, cortisol acts as a mediator of protein catabolism. Hypercortisolemia can promote loss of muscle mass and strength [27]. Acute pain or inflammatory reactions can stimulate the hypothalamic-pituitary-adrenal axis, leading to homeostatic and metabolic imbalances.

3) Nutritional factors

Inadequate protein intake and malnutrition, along with age-related changes in appetite and metabolism, can contribute to muscle wasting and sarcopenia [28].

4) Physical inactivity

Sedentary lifestyles and reduced physical activity levels are associated with muscle atrophy and an increased risk of sarcopenia [29].

5) Chronic medical conditions

Certain chronic conditions, such as diabetes, chronic obstructive pulmonary disease, and inflammatory diseases, can contribute to sarcopenia through inflammatory processes, reduced physical activity, and impaired muscle metabolism [30].

Adverse consequences of sarcopenia

Sarcopenia has significant implications for the health and well-being of affected individuals, as well as for healthcare systems and society as a whole. This section will discuss the main consequences of sarcopenia, including physical disability, fall risk and fractures, reduced QoL, and increased healthcare costs.

1. Physical disability

The decline in muscle mass, strength, and function associated with sarcopenia can lead to impaired mobility and an increased risk of physical disability [3]. Everyday activities, such as walking, climbing stairs, and carrying objects, can become increasingly challenging for individuals with sarcopenia. As a result, affected individuals may experience a loss of independence and an increased reliance on assistance for daily tasks [31-33].

2. Risk of falls and fractures

Sarcopenia is a significant risk factor for falls and fractures among older adults [34-36]. The decline in muscle strength and function can lead to impaired balance, coordination, and postural stability, which, in turn, increases the risk of falls. In a study conducted by Kinoshita et al. [37] in a Japanese population, sarcopenia was found to increase the odds ratio by 2.94 times in elderly patients, and a meta-analysis also suggested a significant causal relationship [38]. Falls are a leading cause of injury and disability in older adults, and fractures resulting from falls can have severe consequences, including long-term pain, disability, and increased mortality [9,39].

3. Quality of life

Sarcopenia can negatively impact an individual’s QoL in various ways [3]. Physical limitations, loss of independence, and the increased risk of falls and fractures can contribute to reduced psychological well-being, social isolation, and depression [40-42]. Moreover, individuals with sarcopenia may experience fatigue, reduced stamina, and a decreased ability to engage in recreational activities, further diminishing their QoL [43].

4. Economic burden of healthcare

Sarcopenia is associated with significant healthcare costs due to increased rates of hospitalization, rehabilitation, and long-term care [44]. The direct costs of managing sarcopenia-related complications, such as falls and fractures, as well as the indirect costs related to disability and loss of productivity, place a considerable burden on healthcare systems and society. With the growing prevalence of sarcopenia due to an aging global population, these costs are expected to rise in the coming years [7,8].

5. Miscellaneous

Some systematic reviews and meta-analyses in the field of hepatology reported adverse outcomes of sarcopenia. Chang et al. [45] showed that sarcopenia was associated with increased mortality and tumor recurrence in patients with hepatocellular carcinoma, and another study reported that sarcopenia was significantly associated with hepatic encephalopathy in patients with cirrhosis [46]. Meanwhile, sarcopenia also affects the muscles involved in swallowing, causing sarcopenic dysphagia [47]. Dysphagia leads to malnutrition, creating a vicious cycle [48]. Although there are no golden diagnostic criteria for this condition, it can be diagnosed using a number of tools, including swallowing tests, video-fluoroscopic swallow study and surface electromyography, and ultrasound [47].

Diagnosis and assessment of sarcopenia

Early diagnosis and assessment of sarcopenia are crucial for implementing appropriate interventions and mitigating the associated health risks. An understanding of the criteria, tools, and methods used to diagnose sarcopenia through clinical and functional assessments used to evaluate the severity and impact of the patient's condition is essential.

1. Diagnostic tools

Various tools and methods have been developed for diagnosing sarcopenia, which typically involve the assessment of muscle mass, strength, and function. In large epidemiologic surveys in the community, anthropometric measurements can be used to estimate muscle mass and body composition and to screen for sarcopenia, as testing with equipment can be difficult [5]. There have been, and continue to be, many studies to find noninvasive and safe methods. The most optimal methods used to measure muscle volume are magnetic resonance or computed tomography. However, these tests are expensive and no cutoff value has been established to date, so dual-energy X-ray absorptiometry (DXA) or bioelectrical impedance analysis (BIA) is used [49]. Common diagnostic tools and methods are as follows.

1) Dual-energy X-ray absorptiometry

DXA is a widely used technique for assessing muscle mass and body composition. It is considered the gold standard for diagnosing sarcopenia due to its accuracy, precision, and low radiation exposure. Methods for estimating muscle mass using DXA are not yet fully established. However, the European Working Group on Sarcopenia in Older People-2 (EWGSOP-2) suggests cutoff values for estimating muscle mass using DXA: appendicular lean (skeletal) mass or appendicular lean (skeletal) mass index (appendicular lean mass/height2) (Fig. 1). For appendicular lean mass, it is recommended to define <15 kg/m2 for women and <20 kg/m2 for men, while appendicular lean mass index is defined as <5.5 kg/m2 for women and <7.0 kg/m2 for men [3,50,51].

2) Bioelectrical impedance analysis

BIA is a noninvasive method for estimating muscle mass and body composition based on the electrical properties of tissues. BIA uses electrical conductivity throughout the body to indirectly calculate muscle mass [52]. It is recommended to consider the measurements using the cross-validated Sergi equation [53], as the measurements may vary from one device to another, and there may be differences based on the population used. It also has the disadvantage that the amount of water in the body can affect the measurement. However, it is a more accessible and affordable alternative to DXA, although it may be less accurate in some cases [54].

3) Handgrip strength

Muscle strength was assessed with a handgrip strength test using a dynamometer or a vigorimeter. A dynamometer is used to measure isometric handgrip strength [55]. Measurements are given in kilograms. The correct posture for measurement is seated, shoulders adducted and neutrally rotated, elbow flexed 90°, forearm in a neutral position, wrist in dorsiflexion 0° to 30°, ulnar deviation 0° to 15°, avoiding overlap with other motor tasks [55,56]. A vigorimeter is measured by the patient contracting a kind of rubber ball connected to a manometer. The maximum pressure achieved by this ball corresponds to the maximum handgrip strength and is expressed in kilopascals. The use of different ball sizes makes it possible to adapt to different hand sizes, thus ensuring uniform muscle tension [55,57]. Handgrip strength is a relatively simple, cost-effective, and reliable measure of overall muscle strength. It is commonly assessed using a handheld dynamometer and has been shown to be a strong predictor of sarcopenia and related health outcomes [58]. The EWGSOP-2 defined the cutoff value for grip strength as <27 kg for men and <16 kg for women (Fig. 2) [3].

4) Gait speed

Gait or walking speed is widely used for assessing the functional performance of sarcopenia. A slow gait speed has been associated with an increased risk of sarcopenia, disability, and adverse health outcomes. A commonly used walking speed test is called the 6-meter usual walking speed test, which uses a stopwatch or electronic device to measure the gait timing [59]. Generally, low functional performance was defined as a gait speed of <1.0 m/sec for both men and women [3].

2. Diagnostic criteria

Sarcopenia, the age-related loss of muscle mass, strength, and function, has been increasingly recognized as a significant public health concern. The diagnostic criteria for sarcopenia vary, with differences noted particularly between Europe and Asia (Table 1).
For Europe, the EWGSOP proposed diagnostic criteria in 2010, which were later revised in 2019 (EWGSOP-2). In their updated criteria, sarcopenia is recognized primarily by a reduction in muscle strength and confirmed by either a reduction in muscle quantity or quality. Severe sarcopenia, according to the EWGSOP-2, is identified by the presence of low muscle quantity, quality, and physical performance [3].
In contrast, in Asia, the Asian Working Group for Sarcopenia (AWGS) suggested different cutoff points considering the different body compositions and lifestyles compared to Western populations. Low muscle mass was defined as an appendicular skeletal muscle index of <5.4 kg/m2 for women and <7.0 kg/m2 for men. The AWGS also recommended using muscle strength and physical performance to diagnose sarcopenia, but the cutoff points for muscle mass, grip strength, and gait speed are lower than those suggested by the EWGSOP [33].

3. Other tools for clinical and functional assessments

In addition to the diagnostic tools and methods for sarcopenia, various clinical and functional assessments can be used to evaluate the severity and impact of sarcopenia on an individual’s health and well-being.

1) Short physical performance battery

The short physical performance battery (SPPB) is a widely used assessment tool that evaluates lower extremity function through a series of the balance test, the usual gait speed, and the repeated chair stands test [60]. It is a strong predictor of disability, falls, and mortality in older adults [61]. The balance test requires the subject to maintain three increasingly difficult positions: a side-by-side, semi-tandem (standing with the heel of one foot next to the big toe of the other), and tandem (touching with the heel of one foot in front of the toe of the other) for 10 seconds each. The balance test is scored based on the total time a subject holds each position (from 0 to 30 seconds) [60]. The subject is asked to walk a 4-meter course at their usual walking speed [62]. The subject is instructed to stand with both feet touching the starting line and then to start walking. They may use a walking aid (cane, walker, or other walking aid) if necessary, but may not be assisted by another person. When the start signal is given, timing begins and the number of seconds required to complete the full distance is recorded. The faster of the two steps is then used to calculate the SPPB score. The repeated chair stands test is performed with the back against a wall using a straight-backed chair. The subject is first asked to stand up from a sitting position without using their arms. If they are able to do this, they are asked to repeat the standing and sitting movement as quickly as possible, crossing their arms over their chest five times. The time taken to complete five stands is then recorded [62].

2) Timed Up and Go test

The Timed Up and Go test measures the time it takes for an individual to stand up from a chair, walk a short distance, turn around, and return to the chair. It is a simple and reliable assessment of mobility, balance, and functional status [63,64].

3) Thirty-second chair stand test

This test evaluates lower body strength by measuring the number of times an individual can stand up from a seated position within 30 seconds. It is a useful predictor of functional performance, falls, and disability in older adults [65,66].

Multidisciplinary approach for sarcopenia

Effective management strategies for sarcopenia focus on addressing the underlying causes and mitigating the consequences of the condition. Therefore, a multidisciplinary approach is needed to manage sarcopenia, including exercise interventions, nutritional interventions, and pharmacological interventions.

1. Exercise interventions

Physical activity, particularly resistance training, is considered the cornerstone of sarcopenia management. Exercise interventions can help maintain and build muscle mass, strength, and function, as well as improve overall health and well-being. Key components of exercise interventions for sarcopenia include as follows.

1) Resistance training

It involves working against external resistance (e.g., free weights, resistance bands, or body weight) and has been shown to be effective in increasing muscle mass, strength, and function in older adults [67]. It is recommended that older adults engage in resistance training at least 2 to 3 times per week, targeting all major muscle groups [68].

2) Aerobic exercise

Aerobic exercise such as walking, cycling, or swimming, can help improve cardiovascular health, endurance, and overall functional capacity in older adults [69]. It is recommended that older adults engage in moderate-intensity aerobic exercise for at least 150 minutes per week [70].

3) Balance and flexibility training

Incorporating balance and flexibility exercises into an exercise program can help improve postural stability, reduce fall risk, and maintain functional mobility in older adults [71,72].
A randomized controlled trial demonstrated the effectiveness of early exercise and nutritional intervention in sarcopenic elders [73]. It was reported that early exercise and nutritional intervention may help in the early recovery of lower limb muscle mass in sarcopenic elders. In particular, the authors suggested that when planning a rehabilitation program for patients with sarcopenia, resistance training with nutritional support may be beneficial for rapid gains in muscle mass.

2. Nutritional interventions

Proper nutrition is essential for maintaining muscle mass and function, and nutritional interventions can play a critical role in the management of sarcopenia. Key nutritional strategies for sarcopenia are as follows.

1) Protein intake

Ensuring adequate protein intake is crucial for maintaining and building muscle mass [74]. Older adults should aim for a daily protein intake of at least 1.0 to 1.2 g per kg of body weight, with an emphasis on high-quality protein sources, such as lean meats, poultry, fish, dairy, and plant-based options [75].

2) Branched amino acids (valine, leucine, and isoleucine)

Muscle loss is caused by an imbalance between the anabolic and catabolic processes of protein. Amino acids are the main building blocks for muscle synthesis. In particular, branched-chain amino acids (BCAAs) regulate the mammalian target of rapamycin (mTOR) process in protein synthesis [76-78]. Recent studies have focused on reduced skeletal muscle sensitivity to amino acids as a potential mechanism of sarcopenia. Guillet et al. [79] suggested that defective activation of the BCAA pathway may be an important contributor to sarcopenia. In animal studies, administration of leucine can stimulate the rate of muscle protein synthesis [80,81]. Accordingly, BCAA administration may be beneficial in reversing age-related protein loss. Based on these findings, there has been a lot of interest in developing drugs for sarcopenia using BCAAs.

3) Vitamin D and calcium

Adequate vitamin D and calcium intake are important for bone health and may also play a role in maintaining muscle function [82]. Supplementation may be necessary for older adults who are deficient in these nutrients.

4) Energy balance

Maintaining an appropriate energy balance is important for preventing muscle wasting and supporting muscle growth. Older adults should consume a balanced diet with sufficient calories to meet their energy needs and support their exercise interventions [83,84].

3. Pharmacological interventions

Pharmacological interventions for sarcopenia are still in the early stage of development, and further research is needed to determine their efficacy and safety. Some potential pharmacological treatments for sarcopenia include the following.

1) Hormone replacement therapy

Testosterone replacement therapy in men and hormone replacement therapy in postmenopausal women may help improve muscle mass and strength. However, these therapies carry potential risks and should be carefully considered on an individual basis [85,86].

2) Myostatin inhibitors

Myostatin is a protein that regulates muscle growth, and inhibiting its action has been shown to promote muscle growth in preclinical studies [87,88]. Further research is needed to determine the effectiveness and safety of myostatin inhibitors in the treatment of sarcopenia.

3) Selective androgen receptor modulators

Selective androgen receptor modulators (SARMs) are a class of drugs that selectively target androgen receptors, promoting muscle growth without the adverse effects associated with traditional anabolic steroids. Clinical trials are ongoing to evaluate the potential of SARMs as a treatment for sarcopenia [89].

Novel diagnostic tools and developments in sarcopenia

As the global population continues to age, the prevalence of sarcopenia and its associated health risks is expected to increase [7]. This growing public health concern underscores the need for continued research and innovation in the prevention, diagnosis, and management of sarcopenia. This section will discuss future directions and research priorities in the field of sarcopenia, including the development of novel biomarkers, new pharmacological interventions.

1. Novel biomarkers for sarcopenia

The identification of reliable and easily accessible biomarkers for sarcopenia can significantly improve early diagnosis and facilitate the development of targeted interventions. Future research should focus on discovering and validating novel biomarkers, such as blood-based markers, genetic factors, or imaging-based parameters, that can help predict the risk, progression, and response to treatment in sarcopenia. In their study, Furutani et al. [90] combined messenger RNA analysis from mononuclear cells in serum with clinical information to create a model with high diagnostic sensitivity. There have also been studies that have attempted to use circulating microRNAs (miRNAs) as biomarkers. A meta-analysis of these studies suggests that miRNAs also have potential value as biomarkers with further research [91].
Recently, researchers have been focusing on extracellular vesicles (EVs) to demonstrate the paracrine effects of stem cells. The advantage of EVs is that they have a cargo that includes the properties of the originating cells, and they are ubiquitous in the body’s fluids and can be obtained relatively noninvasively. The study of EVs in relation to sarcopenia is also ongoing, and research has shown that EVs may be one of the underlying mechanisms of sarcopenia and can be used as a biomarker [92].

2. New screening test for sarcopenia

Although DXA is a noninvasive and relatively widely used diagnostic method for sarcopenia, it has the disadvantage of requiring equipment and cost. Recently, a study was conducted to develop a screening tool using the rapidly growing field of artificial intelligence (AI) models, and the authors claimed to have developed a model with a similar level of accuracy to DXA using physical measurements [93]. In fact, this approach is being tried in many areas of medicine, and diagnosis using models trained through trial and error is valuable as a low-cost and relatively accurate screening tool. Zupo et al. [94] developed an optimized model for screening for sarcopenia using machine learning with various anthropometric measurements and biological markers. With further research, we may see AI diagnostics as a diagnostic tool in the not-too-distant future.

3. New pharmacological interventions

The development of pharmacological interventions for sarcopenia represents an emerging and rapidly evolving field of research. While potential candidates like hormone replacement therapies, myostatin inhibitors, and SARMs have shown promise in preliminary studies, their application in clinical practice remains limited due to concerns over safety, side effects, and the need for further validation of efficacy. Hormone replacement therapies, for instance, may enhance muscle mass and strength, but they also carry risks that necessitate careful individualized consideration. Myostatin inhibitors, which counteract a protein that regulates muscle growth, have demonstrated positive outcomes in preclinical studies, yet their effectiveness and safety in the treatment of sarcopenia require further investigation [95]. Therefore, many myostatin inhibitors are currently undergoing clinical trials to confirm their safety and effectiveness [96]. SARMs, which selectively target androgen receptors to promote muscle growth without the adverse effects associated with traditional anabolic steroids, are currently under clinical trial evaluation [97]. As the global aging population continues to rise, and with it the prevalence of sarcopenia, the demand for effective pharmacological treatments will only become more pressing. Therefore, continued investment in comprehensive research and rigorous clinical trials is crucial to progress in this area.

Concluding remarks and perspectives

Sarcopenia, characterized by the age-related decline in muscle mass, strength, and function, is a growing public health concern due to the increasing global aging population. It is associated with numerous adverse health outcomes.
The implications for the future include: (1) Continued efforts to raise public awareness and understanding of sarcopenia, emphasizing the importance of early detection, intervention, and prevention measures. (2) Advancements in the development of novel diagnostic tools and biomarkers that facilitate early identification and targeted interventions for sarcopenia. (3) Continued research and innovation in the field of sarcopenia, focusing on the development of new pharmacological treatments, the identification of genetic and epigenetic factors, and personalized approaches to care. (4) Integration of multi- and interdisciplinary collaboration in the prevention, diagnosis, and management of sarcopenia, ensuring a comprehensive and individualized approach to care. (5) Implementation of effective public health policies and programs that support research, innovation, and community-based initiatives aimed at preventing and managing sarcopenia.

Conclusion

Addressing the challenges posed by sarcopenia requires a multidisciplinary approach that encompasses research, healthcare, and public health initiatives. By enhancing our understanding of sarcopenia and implementing evidence-based strategies for prevention, diagnosis, and management, we can work towards improving the health, mobility, and QoL of older adults worldwide.

Notes

Conflicts of interest

No potential conflict of interest relevant to this article was reported.

Funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2021R1A6A1A03040177).

Author contributions

Conceptualization: all authors; Data curation, Project administration: GBK; Formal analysis, Supervision: OJS; Funding acquisition, Validation: WTP, GBK; Methodology: WTP; Resources: OJS, GBK; Writing-original draft: WTP, GBK; Writing-review & editing: WTP, OJS.

References

1. Evans WJ. Sarcopenia should reflect the contribution of age-associated changes in skeletal muscle to risk of morbidity and mortality in elderly people. J Am Med Dir Assoc. 2015; 16:546–7.
crossref
2. Volpi E, Nazemi R, Fujita S. Muscle tissue changes with aging. Curr Opin Clin Nutr Metab Care. 2004; 7:405–10.
crossref
3. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019; 48:16–31.
crossref
4. Rosenberg IH. Sarcopenia: origins and clinical relevance. J Nutr. 1997; 127:990S–1S.
crossref
5. Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998; 147:755–63.
crossref
6. Shon OJ, Kim GB, Cho SJ. Does sarcopenia accompanying end-stage knee osteoarthritis affect the outcomes following total knee arthroplasty? Medicina (Kaunas). 2023; 59:1078.
crossref
7. Shafiee G, Keshtkar A, Soltani A, Ahadi Z, Larijani B, Heshmat R. Prevalence of sarcopenia in the world: a systematic review and meta-analysis of general population studies. J Diabetes Metab Disord. 2017; 16:21.
8. Bruyère O, Beaudart C, Ethgen O, Reginster JY, Locquet M. The health economics burden of sarcopenia: a systematic review. Maturitas. 2019; 119:61–9.
crossref
9. Beaudart C, Rizzoli R, Bruyère O, Reginster JY, Biver E. Sarcopenia: burden and challenges for public health. Arch Public Health. 2014; 72:45.
crossref
10. Abate M, Di Iorio A, Di Renzo D, Paganelli R, Saggini R, Abate G. Frailty in the elderly: the physical dimension. Eura Medicophys. 2007; 43:407–15.
11. Faulkner JA, Larkin LM, Claflin DR, Brooks SV. Age-related changes in the structure and function of skeletal muscles. Clin Exp Pharmacol Physiol. 2007; 34:1091–6.
crossref
12. Ryall JG, Schertzer JD, Lynch GS. Cellular and molecular mechanisms underlying age-related skeletal muscle wasting and weakness. Biogerontology. 2008; 9:213–28.
crossref
13. Melton LJ, Khosla S, Crowson CS, O'Connor MK, O'Fallon WM, Riggs BL. Epidemiology of sarcopenia. J Am Geriatr Soc. 2000; 48:625–30.
crossref
14. Cermak NM, Snijders T, McKay BR, Parise G, Verdijk LB, Tarnopolsky MA, et al. Eccentric exercise increases satellite cell content in type II muscle fibers. Med Sci Sports Exerc. 2013; 45:230–7.
crossref
15. Nguyen MK, Kurtz I. Quantitative interrelationship between Gibbs-Donnan equilibrium, osmolality of body fluid compartments, and plasma water sodium concentration. J Appl Physiol (1985). 2006; 100:1293–300.
crossref
16. Narici MV, Maffulli N. Sarcopenia: characteristics, mechanisms and functional significance. Br Med Bull. 2010; 95:139–59.
17. Larsson L, Degens H, Li M, Salviati L, Lee YI, Thompson W, et al. Sarcopenia: aging-related loss of muscle mass and function. Physiol Rev. 2019; 99:427–511.
18. Power GA, Dalton BH, Rice CL. Human neuromuscular structure and function in old age: a brief review. J Sport Health Sci. 2013; 2:215–26.
crossref
19. Coppi E, Houdayer E, Chieffo R, Spagnolo F, Inuggi A, Straffi L, et al. Age-related changes in motor cortical representation and interhemispheric interactions: a transcranial magnetic stimulation study. Front Aging Neurosci. 2014; 6:209.
crossref
20. Clanton TL. Hypoxia-induced reactive oxygen species formation in skeletal muscle. J Appl Physiol (1985). 2007; 102:2379–88.
crossref
21. Snijders T, Nederveen JP, McKay BR, Joanisse S, Verdijk LB, van Loon LJ, et al. Satellite cells in human skeletal muscle plasticity. Front Physiol. 2015; 6:283.
crossref
22. Basualto-Alarcón C, Varela D, Duran J, Maass R, Estrada M. Sarcopenia and androgens: a link between pathology and treatment. Front Endocrinol (Lausanne). 2014; 5:217.
23. McDonald VM, Simpson JL, Higgins I, Gibson PG. Multidimensional assessment of older people with asthma and COPD: clinical management and health status. Age Ageing. 2011; 40:42–9.
crossref
24. Ferrando AA, Sheffield-Moore M, Paddon-Jones D, Wolfe RR, Urban RJ. Differential anabolic effects of testosterone and amino acid feeding in older men. J Clin Endocrinol Metab. 2003; 88:358–62.
crossref
25. Messier V, Rabasa-Lhoret R, Barbat-Artigas S, Elisha B, Karelis AD, Aubertin-Leheudre M. Menopause and sarcopenia: a potential role for sex hormones. Maturitas. 2011; 68:331–6.
crossref
26. Santini MP, Tsao L, Monassier L, Theodoropoulos C, Carter J, Lara-Pezzi E, et al. Enhancing repair of the mammalian heart. Circ Res. 2007; 100:1732–40.
crossref
27. Fitts RH, Romatowski JG, Peters JR, Paddon-Jones D, Wolfe RR, Ferrando AA. The deleterious effects of bed rest on human skeletal muscle fibers are exacerbated by hypercortisolemia and ameliorated by dietary supplementation. Am J Physiol Cell Physiol. 2007; 293:C313–20.
crossref
28. Paddon-Jones D, Rasmussen BB. Dietary protein recommendations and the prevention of sarcopenia. Curr Opin Clin Nutr Metab Care. 2009; 12:86–90.
crossref
29. Leong DP, Teo KK, Rangarajan S, Lopez-Jaramillo P, Avezum A, Orlandini A, et al. Prognostic value of grip strength: findings from the Prospective Urban Rural Epidemiology (PURE) study. Lancet. 2015; 386:266–73.
30. Morley JE, Anker SD, von Haehling S. Prevalence, incidence, and clinical impact of sarcopenia: facts, numbers, and epidemiology-update 2014. J Cachexia Sarcopenia Muscle. 2014; 5:253–9.
31. Cruz-Jentoft AJ, Landi F, Schneider SM, Zúñiga C, Arai H, Boirie Y, et al. Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS). Age Ageing. 2014; 43:748–59.
crossref
32. Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019; 393:2636–46.
crossref
33. Chen LK, Liu LK, Woo J, Assantachai P, Auyeung TW, Bahyah KS, et al. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc. 2014; 15:95–101.
crossref
34. Szulc P, Beck TJ, Marchand F, Delmas PD. Low skeletal muscle mass is associated with poor structural parameters of bone and impaired balance in elderly men: the MINOS study. J Bone Miner Res. 2005; 20:721–9.
35. Edwards MH, Gregson CL, Patel HP, Jameson KA, Harvey NC, Sayer AA, et al. Muscle size, strength, and physical performance and their associations with bone structure in the Hertfordshire Cohort Study. J Bone Miner Res. 2013; 28:2295–304.
36. Sjöblom S, Suuronen J, Rikkonen T, Honkanen R, Kröger H, Sirola J. Relationship between postmenopausal osteoporosis and the components of clinical sarcopenia. Maturitas. 2013; 75:175–80.
37. Kinoshita K, Satake S, Matsui Y, Arai H. Association between sarcopenia and fall risk according to the muscle mass adjustment method in Japanese older outpatients. J Nutr Health Aging. 2021; 25:762–6.
crossref
38. Moreland JD, Richardson JA, Goldsmith CH, Clase CM. Muscle weakness and falls in older adults: a systematic review and meta-analysis. J Am Geriatr Soc. 2004; 52:1121–9.
crossref
39. Álvarez-Barbosa F, del Pozo-Cruz J, del Pozo-Cruz B, Alfonso-Rosa RM, Rogers ME, Zhang Y. Effects of supervised whole body vibration exercise on fall risk factors, functional dependence and health-related quality of life in nursing home residents aged 80+. Maturitas. 2014; 79:456–63.
crossref
40. Morley JE, Vellas B, van Kan GA, Anker SD, Bauer JM, Bernabei R, et al. Frailty consensus: a call to action. J Am Med Dir Assoc. 2013; 14:392–7.
crossref
41. Rubenstein LZ. Falls in older people: epidemiology, risk factors and strategies for prevention. Age Ageing. 2006; 35:ii37–41.
crossref
42. Beaudart C, Biver E, Bruyère O, Cooper C, Al-Daghri N, Reginster JY, et al. Quality of life assessment in musculo-skeletal health. Aging Clin Exp Res. 2018; 30:413–8.
crossref
43. Ethgen O, Beaudart C, Buckinx F, Bruyère O, Reginster JY. The future prevalence of sarcopenia in Europe: a claim for public health action. Calcif Tissue Int. 2017; 100:229–34.
crossref
44. Janssen I, Shepard DS, Katzmarzyk PT, Roubenoff R. The healthcare costs of sarcopenia in the United States. J Am Geriatr Soc. 2004; 52:80–5.
crossref
45. Chang KV, Chen JD, Wu WT, Huang KC, Hsu CT, Han DS. Association between loss of skeletal muscle mass and mortality and tumor recurrence in hepatocellular carcinoma: a systematic review and meta-analysis. Liver Cancer. 2018; 7:90–103.
crossref
46. Chang KV, Chen JD, Wu WT, Huang KC, Lin HY, Han DS. Is sarcopenia associated with hepatic encephalopathy in liver cirrhosis? A systematic review and meta-analysis. J Formos Med Assoc. 2019; 118:833–42.
crossref
47. Chen KC, Jeng Y, Wu WT, Wang TG, Han DS, Özçakar L, et al. Sarcopenic dysphagia: a narrative review from diagnosis to intervention. Nutrients. 2021; 13:4043.
crossref
48. Nishioka S, Okamoto T, Takayama M, Urushihara M, Watanabe M, Kiriya Y, et al. Malnutrition risk predicts recovery of full oral intake among older adult stroke patients undergoing enteral nutrition: secondary analysis of a multicentre survey (the APPLE study). Clin Nutr. 2017; 36:1089–96.
crossref
49. Setiati S. Diagnostic tools for sarcopenia: can we get less expensive and accurate methods? Acta Med Indones. 2019; 51:93–4.
50. Studenski SA, Peters KW, Alley DE, Cawthon PM, McLean RR, Harris TB, et al. The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci. 2014; 69:547–58.
crossref
51. Gould H, Brennan SL, Kotowicz MA, Nicholson GC, Pasco JA. Total and appendicular lean mass reference ranges for Australian men and women: the Geelong osteoporosis study. Calcif Tissue Int. 2014; 94:363–72.
crossref
52. Lukaski HC. Evolution of bioimpedance: a circuitous journey from estimation of physiological function to assessment of body composition and a return to clinical research. Eur J Clin Nutr. 2013; 67(Suppl 1):S2–9.
crossref
53. Sergi G, De Rui M, Veronese N, Bolzetta F, Berton L, Carraro S, et al. Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults. Clin Nutr. 2015; 34:667–73.
crossref
54. Yu SC, Powell A, Khow KS, Visvanathan R. The performance of five bioelectrical impedance analysis prediction equations against dual X-ray absorptiometry in estimating appendicular skeletal muscle mass in an adult Australian population. Nutrients. 2016; 8:189.
crossref
55. Baek JY, Jung HW, Kim KM, Kim M, Park CY, Lee KP, et al. Korean Working Group on Sarcopenia guideline: expert consensus on sarcopenia screening and diagnosis by the Korean Society of Sarcopenia, the Korean Society for Bone and Mineral Research, and the Korean Geriatrics Society. Ann Geriatr Med Res. 2023; 27:9–21.
crossref
56. Mathiowetz V, Kashman N, Volland G, Weber K, Dowe M, Rogers S. Grip and pinch strength: normative data for adults. Arch Phys Med Rehabil. 1985; 66:69–74.
57. Desrosiers J, Hébert R, Bravo G, Dutil E. Comparison of the Jamar dynamometer and the Martin vigorimeter for grip strength measurements in a healthy elderly population. Scand J Rehabil Med. 1995; 27:137–43.
crossref
58. Dodds RM, Syddall HE, Cooper R, Benzeval M, Deary IJ, Dennison EM, et al. Grip strength across the life course: normative data from twelve British studies. PLoS One. 2014; 9:e113637.
crossref
59. Maggio M, Ceda GP, Ticinesi A, De Vita F, Gelmini G, Costantino C, et al. Instrumental and non-instrumental evaluation of 4-meter walking speed in older individuals. PLoS One. 2016; 11:e0153583.
crossref
60. Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994; 49(Suppl 2):M85–94.
crossref
61. Pavasini R, Guralnik J, Brown JC, di Bari M, Cesari M, Landi F, et al. Short Physical Performance Battery and all-cause mortality: systematic review and meta-analysis. BMC Med. 2016; 14:215.
crossref
62. Gill TM. Assessment of function and disability in longitudinal studies. J Am Geriatr Soc. 2010; 58(Suppl 2):S308–12.
crossref
63. Podsiadlo D, Richardson S. The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991; 39:142–8.
crossref
64. Barry E, Galvin R, Keogh C, Horgan F, Fahey T. Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis. BMC Geriatr. 2014; 14:14.
65. Jones CJ, Rikli RE, Beam WC. A 30-s chair-stand test as a measure of lower body strength in community-residing older adults. Res Q Exerc Sport. 1999; 70:113–9.
crossref
66. Bohannon RW. Sit-to-stand test for measuring performance of lower extremity muscles. Percept Mot Skills. 1995; 80:163–6.
crossref
67. Fragala MS, Cadore EL, Dorgo S, Izquierdo M, Kraemer WJ, Peterson MD, et al. Resistance training for older adults: position statement from the National Strength and Conditioning Association. J Strength Cond Res. 2019; 33:2019–52.
crossref
68. Kraemer WJ, Adams K, Cafarelli E, Dudley GA, Dooly C, Feigenbaum MS, et al. American College of Sports Medicine position stand. Progression models in resistance training for healthy adults. Med Sci Sports Exerc. 2002; 34:364–80.
69. Loprinzi PD, Lee H, Cardinal BJ. Evidence to support including lifestyle light-intensity recommendations in physical activity guidelines for older adults. Am J Health Promot. 2015; 29:277–84.
crossref
70. Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, et al. The physical activity guidelines for Americans. JAMA. 2018; 320:2020–8.
crossref
71. Granacher U, Gollhofer A, Hortobágyi T, Kressig RW, Muehlbauer T. The importance of trunk muscle strength for balance, functional performance, and fall prevention in seniors: a systematic review. Sports Med. 2013; 43:627–41.
crossref
72. Page P. Current concepts in muscle stretching for exercise and rehabilitation. Int J Sports Phys Ther. 2012; 7:109–19.
73. Chang KV, Wu WT, Huang KC, Han DS. Effectiveness of early versus delayed exercise and nutritional intervention on segmental body composition of sarcopenic elders: a randomized controlled trial. Clin Nutr. 2021; 40:1052–9.
74. Bauer J, Biolo G, Cederholm T, Cesari M, Cruz-Jentoft AJ, Morley JE, et al. 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; 14:542–59.
crossref
75. Houston DK, Nicklas BJ, Ding J, Harris TB, Tylavsky FA, Newman AB, et al. Dietary protein intake is associated with lean mass change in older, community-dwelling adults: the Health, Aging, and Body Composition (Health ABC) Study. Am J Clin Nutr. 2008; 87:150–5.
crossref
76. Wolfe RR. The underappreciated role of muscle in health and disease. Am J Clin Nutr. 2006; 84:475–82.
crossref
77. Rennie MJ, Tipton KD. Protein and amino acid metabolism during and after exercise and the effects of nutrition. Annu Rev Nutr. 2000; 20:457–83.
78. Norton LE, Layman DK. Leucine regulates translation initiation of protein synthesis in skeletal muscle after exercise. J Nutr. 2006; 136:533S–7S.
crossref
79. Guillet C, Prod’homme M, Balage M, Gachon P, Giraudet C, Morin L, et al. Impaired anabolic response of muscle protein synthesis is associated with S6K1 dysregulation in elderly humans. FASEB J. 2004; 18:1586–7.
crossref
80. Rieu I, Balage M, Sornet C, Debras E, Ripes S, Rochon-Bonhomme C, et al. Increased availability of leucine with leucine-rich whey proteins improves postprandial muscle protein synthesis in aging rats. Nutrition. 2007; 23:323–31.
crossref
81. Rieu I, Balage M, Sornet C, Giraudet C, Pujos E, Grizard J, et al. Leucine supplementation improves muscle protein synthesis in elderly men independently of hyperaminoacidaemia. J Physiol. 2006; 575:305–15.
crossref
82. Beaudart C, Buckinx F, Rabenda V, Gillain S, Cavalier E, Slomian J, et al. The effects of vitamin D on skeletal muscle strength, muscle mass, and muscle power: a systematic review and meta-analysis of randomized controlled trials. J Clin Endocrinol Metab. 2014; 99:4336–45.
crossref
83. Deutz NE, Bauer JM, Barazzoni R, Biolo G, Boirie Y, Bosy-Westphal A, et al. Protein intake and exercise for optimal muscle function with aging: recommendations from the ESPEN Expert Group. Clin Nutr. 2014; 33:929–36.
crossref
84. Phillips SM. Nutritional supplements in support of resistance exercise to counter age-related sarcopenia. Adv Nutr. 2015; 6:452–60.
crossref
85. Srinivas-Shankar U, Roberts SA, Connolly MJ, O’Connell MD, Adams JE, Oldham JA, et al. Effects of testosterone on muscle strength, physical function, body composition, and quality of life in intermediate-frail and frail elderly men: a randomized, double-blind, placebo-controlled study. J Clin Endocrinol Metab. 2010; 95:639–50.
crossref
86. Davis SR, Wahlin-Jacobsen S. Testosterone in women: the clinical significance. Lancet Diabetes Endocrinol. 2015; 3:980–92.
87. Morley JE. Pharmacologic options for the treatment of sarcopenia. Calcif Tissue Int. 2016; 98:319–33.
crossref
88. Latres E, Amini AR, Amini AA, Griffiths J, Martin FJ, Wei Y, et al. Insulin-like growth factor-1 (IGF-1) inversely regulates atrophy-induced genes via the phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway. J Biol Chem. 2005; 280:2737–44.
crossref
89. Dalton JT, Barnette KG, Bohl CE, Hancock ML, Rodriguez D, Dodson ST, et al. The selective androgen receptor modulator GTx-024 (enobosarm) improves lean body mass and physical function in healthy elderly men and postmenopausal women: results of a double-blind, placebo-controlled phase II trial. J Cachexia Sarcopenia Muscle. 2011; 2:153–61.
crossref
90. Furutani M, Suganuma M, Akiyama S, Mitsumori R, Takemura M, Matsui Y, et al. RNA-sequencing analysis identification of potential biomarkers for diagnosis of sarcopenia. J Gerontol A Biol Sci Med Sci. 2023; Jun. 22. [Epub] https://doi.org/10.1093/gerona/glad150.
crossref
91. Salamanna F, Contartese D, Ruffilli A, Barile F, Bellavia D, Marchese L, et al. Sharing circulating micro-RNAs between osteoporosis and sarcopenia: a systematic review. Life (Basel). 2023; 13:602.
crossref
92. Wang LX, Zhang X, Guan LJ, Pen Y. What role do extracellular vesicles play in developing physical frailty and sarcopenia?: a systematic review. Z Gerontol Geriatr. 2022; Dec. 2. [Epub]. https://doi.org/10.1007/s00391-022-02150-3.
crossref
93. Buccheri E, Dell'Aquila D, Russo M, Chiaramonte R, Musumeci G, Vecchio M. Can artificial intelligence simplify the screening of muscle mass loss? Heliyon. 2023; 9:e16323.
crossref
94. Zupo R, Moroni A, Castellana F, Gasparri C, Catino F, Lampignano L, et al. A machine-learning approach to target clinical and biological features associated with sarcopenia: findings from northern and southern Italian aging populations. Metabolites. 2023; 13:565.
crossref
95. Dao T, Green AE, Kim YA, Bae SJ, Ha KT, Gariani K, et al. Sarcopenia and muscle aging: a brief overview. Endocrinol Metab (Seoul). 2020; 35:716–32.
crossref
96. Jang JY, Kim D, Kim ND. Pathogenesis, intervention, and current status of drug development for sarcopenia: a review. Biomedicines. 2023; 11:1635.
crossref
97. Christiansen AR, Lipshultz LI, Hotaling JM, Pastuszak AW. Selective androgen receptor modulators: the future of androgen therapy? Transl Androl Urol. 2020; 9(Suppl 2):S135–48.
crossref

Fig. 1.
A body composition measurement of a 77-year-old female patient from a whole-body dual-energy X-ray absorptiometry scanner. According to the diagnostic criteria of Asian Working Group for Sarcopenia 2019, appendicular skeletal mass index of this patient was 4.86 kg/m2, which can be classified as a low muscle mass.
jyms-2023-00724f1.tif
Fig. 2.
A handgrip strength test using a handgrip dynamometer. Low muscle strength is defined as a handgrip strength of <28 kg for men and <18 kg for women.
jyms-2023-00724f2.tif
Table 1.
Updated diagnostic criteria for sarcopenia in Europe and Asia
Diagnostic criteria EWGSOP-2 (Europe) [3] AWGS 2019 (Asia) [33]
Low muscle strength by handgrip Men <27.0 kg, women <16.0 kg Men <28.0 kg, women <18.0 kg
Low muscle mass (ASM indexa)) by DXA Men <7.0 kg/m², women <5.5 kg/m² Men <7.0 kg/m², women <5.4 kg/m²
Decreased physical performance Gait speed <0.8 m/secb), SPPB ≤8, TUG ≥20 sec Gait speed <1.0 m/secb), SPPB ≤9,
5-time chair stand test ≥12 sec

EWGSOP-2, European Working Group on Sarcopenia in Older People-2; AWGS, Asian Working Group for Sarcopenia; ASM, appendicular skeletal muscle mass; DXA, dual-energy X-ray absorptiometry; SPPB, short physical performance battery; TUG, Timed Up and Go test.

a) ASM index was calculated as ASM/height2 measured by DXA.

b) Gait speed measured by 6-meter walking speed test.

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