Research article

Relationship between appendicular muscular mass index and physical function in older people

  • Received: 02 November 2023 Revised: 13 December 2023 Accepted: 25 December 2023 Published: 11 January 2024
  • This study aimed to establish the relationship between the appendicular muscle mass index (AMMI), assessed from anthropometric variables, and the physical function of older people. Seventy-six older people participated in this study (72.03 ± 7.03 years). The participants underwent evaluations to determine their AMMI using anthropometry (weight, calf circumference, hip circumference, and knee height) and manual grip strength. Additionally, their physical function was evaluated using the 5-chair stand test, the 3-meter walk test, and the timed up and go test (TUG) to determine the strength of the lower limbs, the gait speed, and the dynamic balance, respectively. The results show that the AMMI did not present a significant relationship with the 5-chair stand test in both women (r = -0.135; p = 0.204) and men (r = -0.067; p = 0.349). The AMMI was moderately correlated with the gait speed in both women (r = 0.542; p < 0.001) and men (r = 0.556; p < 0.001). Finally, a statistical significance was observed in the relationship between the AMMI and the TUG test in women (r = -0.273; p = 0.047) and older men evaluated in this study (r = -0.284; p = 0.042). In conclusion, there is a relationship between the AMMI and both the dynamic balance and the gait speed. Therefore, the AMMI emerges as a potential public health assessment by enabling the clinical quantification of muscle mass and an estimation of physical function in the elderly population.

    Citation: Miguel Alarcón-Rivera, Carolina Cornejo-Mella, Camila Cáceres-Aravena, Yeny Concha-Cisternas, Paz Fernández-Valero, Eduardo Guzmán-Muñoz. Relationship between appendicular muscular mass index and physical function in older people[J]. AIMS Public Health, 2024, 11(1): 130-140. doi: 10.3934/publichealth.2024006

    Related Papers:

    [1] Calum F Leask, Andrea Gilmartin . Implementation of a neighbourhood care model in a Scottish integrated context—views from patients. AIMS Public Health, 2019, 6(2): 143-153. doi: 10.3934/publichealth.2019.2.143
    [2] Abdulqadir J. Nashwan, Rejo G. Mathew, Reni Anil, Nabeel F. Allobaney, Sindhumole Krishnan Nair, Ahmed S. Mohamed, Ahmad A. Abujaber, Abbas Balouchi, Evangelos C. Fradelos . The safety, health, and well-being of healthcare workers during COVID-19: A scoping review. AIMS Public Health, 2023, 10(3): 593-609. doi: 10.3934/publichealth.2023042
    [3] Andrea M. Auxier, Bonni D. Hopkins, Anne E. Reins . Under Construction: One States Approach to Creating Health Homes for Individuals with Serious Mental Illness. AIMS Public Health, 2015, 2(2): 163-182. doi: 10.3934/publichealth.2015.2.163
    [4] LacreishaEjike-King, RashidaDorsey . Reducing Ex-offender Health Disparities through the Affordable Care Act: Fostering Improved Health Care Access and Linkages to Integrated Care. AIMS Public Health, 2014, 1(2): 76-83. doi: 10.3934/publichealth.2014.2.76
    [5] Bethany M. Kwan, Aimee B. Valeras, Shandra Brown Levey, Donald E. Nease, Mary E. Talen . An Evidence Roadmap for Implementation of Integrated Behavioral Health under the Affordable Care Act. AIMS Public Health, 2015, 2(4): 691-717. doi: 10.3934/publichealth.2015.4.691
    [6] Louise A Ellis, Tanja Schroeder, Maree Saba, Kate Churruca, Janet C Long, Annie Haver, Kristin Akerjordet, Kristiana Ludlow, Inger Johanne Bergerød, Sini Nevantaus, Jan-Willem Weenink, Zoe Gonzales, Samantha Spanos, Hilda Bø Lyng, Cecilie Haraldseid-Driftland, Daniel Adrian Lungu, Malin Knutsen Glette, Mari Lahti, Florin Tibu, Andreas Chatzittofis, Juana Maria Delgado-Saborit, Eila Kankaanpää, Viviana Wuthrich, Robyn Clay-Williams, Jeffrey Braithwaite, Siri Wiig . Supporting the mental wellbeing of aged care workers: A systematic review of factors and interventions. AIMS Public Health, 2025, 12(2): 600-631. doi: 10.3934/publichealth.2025032
    [7] LauraM.Daniels, KimE.Dixon, LisaC.Campbell . Building Capacity for Behavioral Health Services and Clinical Research in a Rural Primary Care Clinic: A Case Study. AIMS Public Health, 2014, 1(2): 60-75. doi: 10.3934/publichealth.2014.2.60
    [8] Meghan Fondow, Nancy Pandhi, Jason Ricco, Elizabeth Zeidler Schreiter, Lauren Fahey, Neftali Serrano, Marguerite Burns, Elizabeth A. Jacobs . Visit Patterns for Severe Mental Illness with Implementation of Integrated Care: A Pilot Retrospective Cohort Study. AIMS Public Health, 2015, 2(4): 821-831. doi: 10.3934/publichealth.2015.4.821
    [9] Sukhbir Singh, Manjunath B Govindagoudar, Dhruva Chaudhry, Pawan Kumar Singh, Madan Gopal Vashist . Assessment of knowledge of COVID-19 among health care workers-a questionnaire-based cross-sectional study in a tertiary care hospital of India. AIMS Public Health, 2021, 8(4): 614-623. doi: 10.3934/publichealth.2021049
    [10] Elham Hatef, Zachary Predmore, Elyse C. Lasser, Hadi Kharrazi, Karin Nelson, Idamay Curtis, Stephan Fihn, Jonathan P. Weiner . Integrating social and behavioral determinants of health into patient care and population health at Veterans Health Administration: a conceptual framework and an assessment of available individual and population level data sources and evidence-based measurements. AIMS Public Health, 2019, 6(3): 209-224. doi: 10.3934/publichealth.2019.3.209
  • This study aimed to establish the relationship between the appendicular muscle mass index (AMMI), assessed from anthropometric variables, and the physical function of older people. Seventy-six older people participated in this study (72.03 ± 7.03 years). The participants underwent evaluations to determine their AMMI using anthropometry (weight, calf circumference, hip circumference, and knee height) and manual grip strength. Additionally, their physical function was evaluated using the 5-chair stand test, the 3-meter walk test, and the timed up and go test (TUG) to determine the strength of the lower limbs, the gait speed, and the dynamic balance, respectively. The results show that the AMMI did not present a significant relationship with the 5-chair stand test in both women (r = -0.135; p = 0.204) and men (r = -0.067; p = 0.349). The AMMI was moderately correlated with the gait speed in both women (r = 0.542; p < 0.001) and men (r = 0.556; p < 0.001). Finally, a statistical significance was observed in the relationship between the AMMI and the TUG test in women (r = -0.273; p = 0.047) and older men evaluated in this study (r = -0.284; p = 0.042). In conclusion, there is a relationship between the AMMI and both the dynamic balance and the gait speed. Therefore, the AMMI emerges as a potential public health assessment by enabling the clinical quantification of muscle mass and an estimation of physical function in the elderly population.



    The health burden of noncommunicable diseases and injuries (NCDIs) is growing even as healthcare in low-income countries remains focused on communicable, maternal, neonatal, and nutritional conditions. In fact, NCDIs contributed to 79.8% of overall global mortality in 2015, with over half of those deaths occurring in low- and middle-income countries [1]. To reduce inequities in care, health systems need to intentionally prioritize the needs of people with noncommunicable diseases [2],[3]. Health workers who provide care for those with NCDIs are in short supply [4]. However, community health workers (CHWs) play an integral role in filling this gap. CHWs are health care generalists who serve the communities in which they live [5]. They are an effective and low-cost subsystem of health workers in sub-Saharan Africa [6]. Malawi, a low-income country in southeast Africa, has a population of 21.2 million with 75% of the country's population living below the poverty line [7],[8]. Four percent of the population live with a physical disability and 22% of these persons have difficulty walking [6]. Malawi has a heavy burden of disease. In 2015, estimates suggest that Malawi lost 58,000 disability adjusted life years (DALYs) per 100,000 population when accounting for all diseases [1]. NCDIs account for approximately one third of all deaths and disabilities in Malawi [1]. Therefore, consideration of NCDI risk factors, interventions, and prevention policies is critical [1],[9].

    Located in Namitete, Malawi, a rural hospital serves over 250,000 people within a 60km radius [10]. This is one of the few hospitals in the country that offers a home-based palliative care (HBPC) program. This program serves patients in the village with a variety of life-limiting or life-threatening conditions and includes a HBPC coordinator and 60 volunteer CHWs with specialized training in palliative care. Trainings were held annually since 2013 with a focus on rehabilitation skills so that the CHW could better serve patients who were bed-ridden or had physical disabilities. In recent years, the hospital staff noted an increase in patients with stroke or second stroke and wanted to initiate strategies to mitigate this trend. High blood pressure (BP) was identified as an indicator of risk of stroke or second stroke. The stakeholders at the hospital (medical director and HBPC coordinator) wanted the CHW trainings to include BP monitoring because many of the patients in the HBPC program have NCDs with related BP issues. In addition, the CHWs in the HBPC program reach the doorsteps of these patients providing access to care in the large catchment area. They saw the opportunity for the CHWs to increase appropriate referrals to the hospital and monitor BP issues in conjunction with their rehabilitative care in the village.

    For the training evaluated in this study, the training content was unique to this program. It was developed in collaboration with the hospital staff, HBPC coordinator, a licensed physical therapist, student physical therapists and CHWs. All written training materials and assessments were translated into Chichewa by native Chichewa speakers. The training was delivered with Chichewa interpreters as needed. The purpose of this study was to evaluate a CHW training program that integrated BP monitoring into their rehabilitation care in the home-based setting.

    This is a retrospective, cross-sectional study of a training program in December 2019.

    The participants were a convenience sample of all active home-based palliative care community health workers at a local hospital in Namitete, Malawi (n = 61). Table 1 is a summary of their known demographic characteristics.

    Table 1.  Participant demographic characteristics.
    Group 1 n/N (%) Group 2 n/N (%) All n/N (%)
    Gender
     Female 19/28 (68%) 16/31 (52%) 25/59 (42%)
     Male 9/28 (32%) 15/31 (48%) 34/59 (58%)
    Mean Age (SD) 47.89 (7.661) 54.94 (9.842) 51.59 (9.487)
    Region
     TA Kalolo 18/28 (64%) 21/31 (68%) 39/59 (66%)
     TA Mavwere 10/28 (36%) 10/31 (32%) 20/59 (34%)

    Note: TA = Traditional Authority.

     | Show Table
    DownLoad: CSV

    The training content was developed in collaboration with the medical director, HBPC coordinator and 5 CHWs in December 2018. To evaluate the feasibility of CHW BP monitoring, 5 BP machines were distributed to 5 CHWs in 5 different geographic areas. The CHWs were assessed for correct BP monitoring (30 observations). Of 30 observations, all CHWs measured BP correctly without physical assistance (one received verbal directions), all CHWs except one accurately entered the BP information in the patient's health book (one observation with no response). This training planning established the feasibility of training CHWs in BP monitoring and informed the planning for the full training in December 2019. Based on the input from the CHWs involved in the planning, instructions were clarified, documentation processes developed, and assessment measures determined.

    The training program included 2 days of instruction on NCDs, BP monitoring, criteria for referral to the hospital, documentation of BP monitoring, as well as stroke prevention education and rehabilitation skill review. The type of content included knowledge, psychomotor skill, application to work processes and cases. The teaching methods included lecture, discussion, demonstration, practice, small and large group discussions and application of material to case and workflow examples. The assessment methods were congruent with the content and teaching methods including knowledge tests, psychomotor skill competency, application of the workflow process and application of concepts to case examples in the village context. Figure 1 outlines the CHW workflow process of the integration of BP monitoring with rehabilitation care. The training program was two days. Lecture, demonstration, practice and discussion were part of both days. On the second day, the focus was on workflow processes and clinical reasoning with application to case scenarios in the village context. Group 1 attended the training on the first two days, and Group 2 on the second two days of the training week. Two groups were trained separately due to limitations in the size of the training space and the need for small group discussions. Group 1 and Group 2 training was delivered by the same training team. Table 2 summarizes the training program details, teaching methods and assessment methods.

    Table 2.  Training program details.
    Training Day Teaching Content Teaching Method Assessment Method
    Day 1 Knowledge: Blood pressure (BP) basics, rehabilitation skills rationale, CHW roles and responsibilities Lecture, small group discussion Written, paper-and-pencil Pre-Test
    Psychomotor Skills: BP, rehabilitation skills Demonstration and practice, large and small group discussion Skill Competency Observation
    Day 2 Knowledge, continued: Blood pressure (BP) basics, rehabilitation skills rationale, CHW roles and responsibilities Lecture, small group discussion Written, paper-and-pencil Post-Test
    Psychomotor Skills, continued: BP, rehabilitation skills Demonstration and practice, large and small group discussion Skill Competency Observation
    Applied Understanding: Case and Workflow Application to cases and workflow, large and small group discussion Case examples, Workflow examples

     | Show Table
    DownLoad: CSV
    Figure 1.  Integrated Care Workflow. Note: CCF = Chronic Cardiac Failure, HTN = Hypertension, Alex = Home-Based Palliative Care coordinator.

    Data collected included assessment of the CHW's cognitive, psychomotor and clinical reasoning skills. Knowledge was assessed with a paper-and-pencil written multiple choice pre- and post-test on BP monitoring procedures and the integrated care workflow. The pre-test was administered after introductions on the first day and the post-test was administered after the final training activities on the second (final) day. The knowledge test was scored using an answer key by the instructors. Assessment of competent skills and reasoning included: proper use of the BP monitor, identification of important numbers on the BP monitor (systolic and diastolic BP), identification of referral criteria for known hypertension, identification of referral criteria for chronic cardiac failure, accurate recording in the Health Passport, accurate recording in the CHW Registry, accurate completion of the Referral Form, demonstration of rehabilitation skills using a reference manual (teaching patient and caregiver), demonstration of teaching stroke prevention, and application of the workflow to actual patient cases. Assessors were trained by the HBPC coordinator and physical therapist project lead to evaluate the expected skill competencies. Each skill was directly observed by an instructor and evaluated for competency. Participants were asked about potential facilitators and barriers to their work as part of the post training survey. Appendix 1 contains the training materials including the pre-post-test, skill competency list and post-training survey.

    The study was submitted to the Office of Research and Sponsored Program Institutional Review Board. Upon review of our protocol, it was approved as exempt from a need for full review under 45CFR 46.101(b). The data were coded in such a manner that the participants cannot be identified, directly or through linked identifiers. The investigators are the only persons with access to the data. All data were coded, and individual identifiers excluded from the dataset. A codebook was kept in a locked location. The individuals were not identifiable in any reporting of the findings of this study.

    All results were de-identified. Descriptive frequencies (percentages) were used to describe skill competency and quantitative responses from the post-training programme survey. Given that the data were not normally distributed, the Wilcoxon Signed Rank Test (a = 0.05) was used to compare the means and determine if there was a significant difference in the paired outcome (pre-and post-knowledge test scores). Data analyses were undertaken using SPSS software, Version 25 [11]. This study sample size of n = 59 exceeds the sample size of 34 to achieve a power 80% at a level of significance of 5% for detecting an effect size of 0.5 [12]. Narrative responses in the post-training programme survey were analysed qualitatively using a thematic analysis. Thematic analysis included coding each participant's response, comparing responses across participants and identifying core categories (themes) [13].

    Sixty-one CHWs were invited to attend the training and 96.7% completed both days of training (n = 59). Two participants attended only one day of training (child illness and a village funeral were the reasons for missing the second day). There was no significant difference in age or gender distribution between Groups 1 and 2. Group 2 had more participants from Traditional Authority (TA) Kalolo than Group 1 (overall there were more participants from TA Kalolo than TA Malware).

    The average score on the knowledge pre-test was 6.59 out of 10 (range of 2–9) and the average score on the knowledge post-test was 8.24 out of 10 (range of 3–10). There was a statistically significant improvement from the pre-posttest for Group 1, Group 2 and for both Groups combined (Table 3).

    Table 3.  Pre- and post-training knowledge for 2019 training.
    Training Year Group N Pre-test Meana (Standard Error, SD) Pre-test Range Post-test Meana (Standard Error, SD) Post-Test Range Z-statistic (p value)
    2019 1 28 7.36 (0.225, 1.193) 5–9 8.61 (0.220, 1.166) 7–10 −3.736 (p < 0.001)*
    2019 2 31 5.90 (0.319, 1.777) 2–9 7.90 (0.351, 1.955) 3–10 −4.181 (p < 0.001)*
    2019 1 and 2 59 6.59 (0.219, 1.683) 2–9 8.24 (0.215, 1.654) 3–10 −5.569 (p < 0.001)*

    Note: *significant at p < 0.05; a Possible score ranged from 0 to 10 with 10 being a perfect score.

     | Show Table
    DownLoad: CSV

    One hundred percent of the participants who attended both days of training (n = 59) demonstrated all of the 10 skills at the expected level of competency (Appendix 1).

    On the final day of the training, the participants applied the workflow to patient scenarios based on real patients in the village and presented their cases. Table 4 is a summary of the cases presented.

    Table 4.  Application of training: case examples.
    Patient Case BP/Referral Decision Rehabilitation Skills Recommended
    Age: 75; Married; Chronic Cardiac Failure; 6 children. He is failing to walk because of swollen legs and difficulties in breathing. 85/55, Referred Hand-held and cane assistance for walking
    Age: 43; Hypertension. He has weakness on the left side (2 years ago). Leg and arm are weak but also, he feels pain in his head and back. 123/108, Referred Elbow, hip and knee range of motion
    Male; Age: 55; Hypertension; 3 children; Farmer; Left arm and leg are weak. 183/105, not referred. This was an incorrect decision and was corrected during the training. Shoulder, elbow, hand and hip range of motion
    Female; Age: 50; Hypertension; 5 children; Farmer; Stroke: Left arm and leg. Wants to walk alone. 99/60, not referred Walking assistance with a cane, standing exercises
    Age: 55; Chronic Cardiac Failure; Married; Farmer; Weakness of the leg and arm. 80/70, referred Shoulder, elbow, hand, hip, knee and ankle range of motion
    Age: 77; Hypertension; Married; Had a stroke 26/6/19 and his left arm and leg were weak, but he cannot talk. He has swelling and painful legs. 114/69, not referred Shoulder, hand, hip, knee and ankle range of motion
    Age: 68; Chronic Cardiac Failure; Married; 4 children; Farmer. 90/60, referred Position changes to prevent pressure injury, feeding positioning to prevent aspiration, arm and leg range of motion
    Age: 63; Hypertension; Married; 5 children; Farmer. Left leg and arm are weak. He can walk around outside with help. He gets short of breath and rests. Patient wants to walk and use his arm. 127/91, not referred Shoulder, elbow, hand, hip, knee and ankle range of motion. Sit to stand exercise
    Age: 45; Hypertension; Married; 3 children. Has left arm and leg weakness. 82/50, not referred Shoulder range of motion, sit to stand exercise, standing exercises
    Female; Hypertension; Age: 73; 4 children; Farmer, Church member. Stroke in 2017. Right arm and left are weak, can sit in chair but cannot walk around outside. 166/91, not referred Arm and leg range of motion, sit to stand exercise, standing exercises
    Age: 65; Hypertension; 3 Children; Our patient had a stroke three months ago. The left arm and leg are weak. Fingers, elbow and ankle are stiff. 180/170, referred Shoulder, elbow, hand and hip range of motion

     | Show Table
    DownLoad: CSV

    The post training survey included questions about the helpfulness of the training related to skill review, BP monitoring, referral criteria and documentation procedures. The survey also captured open-ended question responses about facilitators and barriers to their work. Overall, the participants reported that the training provided a helpful skill review, as well as instruction in BP monitoring, referral and documentation. Table 5 is a summary of the Likert scale responses as well as the themes in their narrative responses.

    Table 5.  Post-training survey summary.
    Quantitative Results (n = 59)
    Question A lot (%) Some (%) A little (%) None (%)
    Did this training help you review your skills? 68 29 2 0
    Did this training help you know how to read blood pressure? 66 30 2 0
    Did this training help you know when to refer? 57 36 3 0
    Did this training help you know when to write in the notebook, health passport and referral form? 70 29 2 0

     | Show Table
    DownLoad: CSV

    This study demonstrated the effectiveness of a training program for CHWs which integrated BP monitoring with rehabilitation care for people with NCDs. Cognitive, psychomotor and clinical reasoning aspects of their learning were evaluated. The participants acquired knowledge (an average improvement of 1.2 points on a 10-point test), demonstrated competency with skills (100% of participants demonstrated all skills) and applied what they learned to patient cases and workflow processes (100% of participants demonstrated application of training material to cases and workflow). Given the importance of addressing NCDs in Malawi, the present study is an example of how CHWs can effectively perform rehabilitation skills, teach these skills to patients and caregivers, deliver stroke prevention education and monitor BP [1],[9]. By evaluating training effectiveness, leaders of global health initiatives can be accountable for the feasibility and sustainability of CHW education [14]. Through their presentations of clinical cases, the CHWs demonstrated direct applications of what they learned in the trainings to patient care in their villages. Their retention of knowledge and application to clinical practice serve as strong indicators of the feasibility and sustainability of the CHW training program. All of the CHWs in this study showed potential to increase access to integrated care in this low-resource setting. Our findings provide evidence for Perry et al.'s (2012) description of CHWs as “the world's most promising health workforce resource for enabling health systems in resource-constrained settings to reduce the burden of disease” [15].

    In the post-training survey, CHWs reported that they will be able to apply their new skills and knowledge to improve the health of the villages they serve. Similar to CHWs in other settings, participants reported the lack of transportation, teamwork, and resources as barriers to their success [16][18]. Participants also noted facilitators of their success, including trainings and opportunities to collaborate—also reported by Greenspan et al. (2013) [19].

    The WHO initiative for UHC emphasizes integrated, person-centered care with a focus on optimal processes of care delivery and patient experience [4]. Studies have shown that CHWs are cost-effective and integral to the success of health systems in Sub-Saharan Africa [6],[20]. Prior to this training, the CHWs showed they were successful in reaching people with disabilities with rehabilitation care. [21],[22]. With BP monitoring, their scope of care was expanded. They now have a workflow process for monitoring BP, providing preventative education to patients and families and connecting them to the local hospital. In this setting, CHWs improve the patient experience by combining preventative and rehabilitation services into home-visits and by facilitating connections between the community and local access points of health care such as the hospital. The quality of the patient experience is potentially improved because of the integrated, person-centered approach.

    A recent systematic review which included 127 studies from low- and middle-income countries highlighted that people with disabilities have higher healthcare needs yet encounter more barriers to accessing services [23]. This lack of health coverage and access not only violates the rights of people with disabilities under international law but also results in poorer health outcomes [23]. The WHO recommends integrating CHWs into health systems, as they can improve health equity by improving access to people who may not have the means for transport to a hospital [24]. Because they are embedded into the communities in which they serve, CHWs can identify needs in their communities and provide a healthcare access point. A study undertaken in India demonstrated that CHW training in management of disabilities led to earlier identification of people with disabilities in rural settings [25]. In Malawi, accessing health care is difficult and health inequities are widespread, but the presence of CHWs may alleviate some of these burdens. The HBPC program at a rural hospital in Malawi demonstrated that training CHWs in basic rehabilitation and monitoring skills is effective over a seven-year period. The CHWs applied their knowledge to ongoing care in the villages and they reported positive changes in health outcomes. Our findings help demonstrate that training CHWs can be an effective way to help bridge the gap in health care access for people with disabilities in resource-limited countries.

    This is the first study to demonstrate the effectiveness of incorporating preventative care in a community-based rehabilitation program. Integrated care improves the quality of the patient experience and access to medical services in underserved areas. Global health initiatives in these low-resource settings must focus on creating sustainability by cultivating relationships with local health providers [26]. CHWs play a vital role in these healthcare systems by extending the access point for care and delivering care with a person-centered focus. Future studies will be undertaken to identify the barriers in the present CHW model that prevent patients from receiving appropriate medical care. The national NCD report in Malawi highlights the importance of understanding structural determinants of health in relation to NCD management [1]. We will continue to investigate how these factors affect the management of NCDs in this setting but see potential for this ongoing care model to have an impact on health access for people with chronic conditions.


    Acknowledgments



    This study is not funded by any agency and is being conducted by the authors independently.

    Conflict of interest



    There is no conflict of interest in this study.

    [1] WHO (2018) Aging and demographic changes. Available from: https://www.who.int/news-room/facts-in-pictures/detail/ageing#:~:text=The%20world%27s%20population%20is%20rapidly,quickly%20than%20in%20the%20past
    [2] INE (2017) Resultados CENSO 2017. Available from: http://resultados.censo2017.cl
    [3] Concha-Cisternas Y, Vargas-Vitoria R, Celis-Morales C (2020) Morphophysiological changes and fall risk in the older adult: A review of the literature. Revista Salud Uninorte 36: 450-470. https://doi.org/10.14482/sun.36.2.618.97
    [4] Pion CH, Barbat-Artigas S, St-Jean-Pelletier F, et al. (2017) Muscle strength and force development in high- and low-functioning elderly men: Influence of muscular and neural factors. Exp Gerontol 96: 19-28. https://doi.org/10.1016/j.exger.2017.05.021
    [5] Cruz-Jentoft AJ, Bahat G, Bauer J, et al. (2019) Sarcopenia: Revised European consensus on definition and diagnosis. Age Ageing 48: 16-31. https://doi.org/10.1093/ageing/afy169
    [6] Ackland TR, Lohman TG, Sundgot-Borgen J, et al. (2020) Current status of body composition assessment in sport: Review and position statement on behalf of the ad hoc research working group on body composition health and performance, under the auspices of the I.O.C. Medical Commission. Sports Med 42: 227-249. https://doi.org/10.2165/11597140-000000000-00000
    [7] Reina ORC, Rueda GDB, Guachamín PEY (2019) Sarcopenia: Aspectos clínico-terapéuticos. Available from: https://www.redalyc.org/articulo.oa?id=55959379015
    [8] Fosbøl MØ, Zerahn B (2015) Contemporary methods of body composition measurement. Clin Physiol Funct Imaging 35: 81-97. https://doi.org/10.1111/cpf.12152
    [9] Bauer J, Morley JE, Schols AMWJ, et al. (2019) Sarcopenia: A time for action. An SCWD position paper. J Cachexia Sarcopenia Muscle 10: 956-961. https://doi.org/10.1002/jcsm.12483
    [10] Lera L, Ángel B, Sánchez H, et al. (2014) Predicción de la masa muscular apendicular esquelética basado en medidas antropométricas en adultos mayores chilenos. Nutr Hosp 29: 611-617. https://dx.doi.org/10.3305/NH.2014.29.3.7062
    [11] Hayashida I, Tanimoto Y, Takahashi Y, et al. (2014) Correlation between muscle strength and muscle mass, and their association with walking speed, in community-dwelling elderly Japanese individuals. PLoS One 9: e111810. https://doi.org/10.1371/journal.pone.0111810
    [12] Tsukasaki K, Matsui Y, Arai H, et al. (2020) Association of muscle strength and gait speed with cross-sectional muscle area determined by mid-thigh computed tomography–a comparison with skeletal muscle mass measured by dual-energy x-ray absorptiometry. J Frailty Aging 9: 82-89. https://doi.org/10.14283/jfa.2020.16
    [13] Patrizio E, Calvani R, Marzetti E, et al. (2020) Physical functional assessment in older adults. J Frailty Aging 10: 141-149. https://doi.org/10.14283/jfa.2020.61
    [14] Concha-Cisternas Y, Castro-Piñero J, Leiva-Ordóñez AM, et al. (2023) Effects of neuromuscular training on physical performance in older people: A systematic review. Life (Basel) 13: 869. https://doi.org/10.3390/life13040869
    [15] Schuindt V, Soares M (2020) International Society for the Advancement of Kinanthropometry (ISAK) global: International accreditation scheme of the competent anthropometrist. Rev Bras Cineantropometria Desempenho Hum 22: e70517. https://doi.org/10.1590/1980-0037.2020v22e70517
    [16] Concha-Cisternas Y, Cigarroa I, Matus-Castillo C, et al. (2020) Prevalencia de debilidad muscular en personas mayores chilenas: Resultados de la Encuesta Nacional de Salud 2016–2017. Rev Med Chil 148: 1598-1605. http://dx.doi.org/10.4067/S0034-98872020001101598
    [17] Guralnik JM, Simonsick EM, Ferrucci L, et al. (1994) A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 49: M85-94. https://doi.org/10.1093/geronj/49.2.m85
    [18] Beaudart C, Rolland Y, Cruz-Jentoft AJ, et al. (2019) Assessment of muscle function and physical performance in daily clinical practice: A position paper endorsed by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO). Calcif Tissue Int 105: 1-14. https://doi.org/10.1007/s00223-019-00545-w
    [19] Browne W, Nair BKR (2019) The timed up and go test. Med J Aust 210: 13-14. https://doi.org/10.5694/mja2.12045
    [20] Takahashi T, Sugie M, Nara M, et al. (2017) Femoral muscle mass relates to physical frailty components in community-dwelling older people: Femoral muscle mass and physical frailty. Geriatr Gerontol Int 17: 1636-1641. https://doi.org/10.1111/ggi.12945
    [21] Falsarella GR, Coimbra IB, Barcelos CC, et al. (2014) Influence of muscle mass and bone mass on the mobility of elderly women: An observational study. BMC Geriatr 14: 13. https://doi.org/10.1186/1471-2318-14-13
    [22] Ishii H, Makizako H, Doi T, et al. (2019) Associations of skeletal muscle mass, lower-extremity functioning, and cognitive impairment in community-dwelling older people in Japan. J Nutr Health Aging 23: 35-41. https://doi.org/10.1007/s12603-018-1110-9
    [23] Alcazar J, Alegre LM, Suetta C, et al. (2021) Threshold of relative muscle power required to rise from a chair and mobility limitations and disability in older adults. Med Sci Sports Exerc 53: 2217-2224. https://doi.org/10.1249/mss.0000000000002717
    [24] Chen L, Nelson DR, Zhao Y, et al. (2013) Relationship between muscle mass and muscle strength, and the impact of comorbidities: A population-based, cross-sectional study of older adults in the United States. BMC Geriatr 13: 74. https://doi.org/10.1186/1471-2318-13-74
    [25] Díaz Villegas GM, Runzer Colmenares F (2015) Calf circumference and its association with gait speed in elderly participants at Peruvian Naval Medical Center. Rev Esp Geriatr Gerontol 50: 22-25. https://doi.org/10.1016/j.regg.2014.06.002
    [26] Menant JC, Weber F, Lo J, et al. (2017) Strength measures are better than muscle mass measures in predicting health-related outcomes in older people: Time to abandon the term sarcopenia?. Osteoporos Int 28: 59-70. https://doi.org/10.1007/s00198-016-3691-7
    [27] Xu W, Chen T, Cai Y, et al. (2020) Sarcopenia in community-dwelling oldest old is associated with disability and poor physical function. J Nutr Health Aging 24: 339-345. https://doi.org/10.1007/s12603-020-1325-4
    [28] Rodríguez-Gutiérrez S, Alarcón-Rivera M, Concha-Cisternas Y, et al. (2022) Association between physical fitness and quality of life with frailty in elderly. Revista Cubana de Medicina Militar 51: e02201976.
    [29] Kitamura A, Seino S, Abe T, et al. (2021) Sarcopenia: prevalence, associated factors, and the risk of mortality and disability in Japanese older adults. J Cachexia Sarcopenia Muscle 12: 30-38. https://doi.org/10.1002%2Fjcsm.12651
    [30] Janssen I, Heymsfield SB, Ross R (2002) Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability. J Am Geriatr So 50: 889-896. https://doi.org/10.1046/j.1532-5415.2002.50216.x
    [31] Fritz S, Lusardi M (2009) White paper: “Walking speed: The sixth vital sign”. J Geriatr Phys Ther 32: 46-49. https://doi.org/10.1519/00139143-200932020-00002
    [32] Kato T, Ikezoe T, Tabara Y, et al. (2022) Differences in lower limb muscle strength and balance ability between sarcopenia stages depend on sex in community-dwelling older adults. Aging Clin Exp Res 34: 527-534. https://doi.org/10.1007/s40520-021-01952-6
    [33] Serra MM, Alonso AC, Peterson M, et al. (2016) Balance and muscle strength in elderly women who dance Samba. PLoS One 11: e0166105. https://doi.org/10.1371/journal.pone.0166105
    [34] Bai HJ, Sun JQ, Chen M, et al. (2016) Age-related decline in skeletal muscle mass and function among elderly men and women in Shanghai, China: A cross sectional study. Asia Pac J Clin Nutr 25: 326-332.
    [35] Okabe T, Suzuki M, Goto H, et al. (2021) Sex differences in age-related physical changes among community-dwelling adults. J Clin Med 10: 4800.
  • This article has been cited by:

    1. Kufre Okop, Peter Delobelle, Estelle Victoria Lambert, Hailemichael Getachew, Rawleigh Howe, Kiya Kedir, Jean Berchmans Niyibizi, Charlotte Bavuma, Stephen Kasenda, Amelia C. Crampin, Abby C. King, Thandi Puoane, Naomi S. Levitt, Implementing and Evaluating Community Health Worker-Led Cardiovascular Disease Risk Screening Intervention in Sub-Saharan Africa Communities: A Participatory Implementation Research Protocol, 2022, 20, 1660-4601, 298, 10.3390/ijerph20010298
    2. Natalie Palumbo, Alyssa Tilly, Eve Namisango, Christian Ntizimira, Lameck Thambo, Maria Chikasema, Gary Rodin, Palliative care in Malawi: a scoping review, 2023, 22, 1472-684X, 10.1186/s12904-023-01264-8
    3. Miriam Mapulanga, Kabelo Kgarosi, Kuhlula Maluleke, Mbuzeleni Hlongwa, Thembelihle Dlungwane, Evidence of community health workers’ delivery of physical rehabilitation services in sub-Saharan Africa: a scoping review, 2024, 14, 2044-6055, e079738, 10.1136/bmjopen-2023-079738
    4. Kathryn C. Nesbit, Kelsey Hargrove, Chelsea Owens, Rehabilitation and blood pressure monitoring training for community health workers: a ten-year study, 2025, 0969-9260, 1, 10.1080/09699260.2025.2515316
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3134) PDF downloads(153) Cited by(2)

Figures and Tables

Figures(3)  /  Tables(2)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog