Abstract
Background: The increasing prevalence of neurological conditions in older adults leads to impaired balance and mobility, heightening fall risk. This systematic review explores the effectiveness of Frenkel exercises in enhancing dynamic balance and motor function, underscoring the importance of fall prevention techniques supported by evidence.
Methods: This systematic review adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, including studies published from 2020 to 2025. Researchers utilized various databases, including MEDLINE/PubMed, Web of Science, APA PsycNet, Science Direct, Scopus, the Cochrane Library, and Google Scholar, to identify pertinent articles. Studies were selected based on inclusion criteria for individuals aged 65 years and above with neurological disorders. The primary outcomes assessed were dynamic balance and motor function, with secondary outcomes including fall risk.
Results: Six studies, encompassing 198 participants, were included in this review. They demonstrated significant improvements in dynamic balance and motor function following Frenkel exercise interventions. Five studies reported enhanced balance, measured by the Berg Balance Scale and timed up and go test. Frenkel exercises also contributed to a reduced fall risk and improved mobility. Consistent with other studies, our results show that Frenkel exercises effectively boost self-confidence and physical function.
Conclusion: Frenkel exercises improve dynamic balance and motor function while lowering fall risk in elderly individuals with neurological disorders. Its simplicity and low cost make it a practical option, but more long-term studies are needed to confirm these benefits.
Keywords: elderly, exercise therapy, fall prevention, postural balance, rehabilitation
1. Introduction
Neurological disorders are becoming increasingly prevalent among the elderly, and with the aging of the global population, significant challenges are emerging in the areas of balance and motor function [1]. Impairments in movement, an increased risk of falls, and reduced quality of life are common symptoms of severely debilitating conditions such as multiple sclerosis, Parkinson's disease, and stroke [2]. The issue of falls is particularly critical for the elderly, as these events can lead to severe injuries, loss of independence, and even death [3]. The consequences of falls reach beyond the physical, impacting emotional and social dimensions. Notably, the fear of falling emerges as a critical psychological effect, frequently leading to a cycle of decreased physical activity, diminished social interaction, and an overall reduction in quality of life [4]. This apprehension may result in self-restrictions on everyday activities, promoting social withdrawal and additional deconditioning, which heightens the likelihood of future falls [5]. According to the World Health Organization (WHO), falls rank as the second most common cause of mortality from accidental or unintentional injuries, particularly among individuals aged 60 and older, who experience the highest rates of fatal falls [6]. Given the widespread nature of falls and their devastating consequences, there is an urgent need for effective interventions aimed at improving balance and motor function in elderly populations affected by neurological disorders [7].
Balance and motor function are essential for daily activities, enabling individuals to perform tasks such as walking, standing, and changing positions [8]. However, these functions are frequently impaired in elderly individuals suffering from neurological disorders due to disruptions in the central and peripheral nervous systems [9]. Furthermore, the natural aging process exacerbates the deterioration of balance and motor skills, influenced by decreased muscle strength, joint flexibility, and sensory perception. As a result, elderly patients with neurological conditions face a heightened risk of falls, which can initiate a harmful cycle of decreased physical activity, progressive functional decline, and increased reliance on caregivers [10].
Various exercise interventions have been investigated in recent years to address balance and motor function deficits in older adults [1]. Frenkel exercises (FEs) have emerged as a notable therapeutic option among these. Developed by Heinrich Frenkel in the late 1800s, these exercises involve a series of repetitive and coordinated movements to enhance proprioception, coordination, and balance in individuals with neurological challenges [11]. Typically, FE is performed in supine, seated, and standing positions, incorporating slow, controlled movements focusing on specific muscle groups. Their appeal lies in their low cost, ease of implementation, and adaptability to individual capabilities, making them particularly suitable for elderly individuals with varying levels of neurological impairment [12, 13].
Research has demonstrated that FE can improve dynamic balance and motor function in elderly individuals diagnosed with neurological disorders [14]. While some studies indicate positive outcomes from these exercises on balance and coordination among younger populations or individuals with specific conditions, such as multiple sclerosis (MS) [15] There is a noticeable scarcity of research dedicated to the elderly demographic, especially those with a history of falls or neurological issues [16]. Moreover, existing literature often lacks robust methodological frameworks, such as randomized controlled trials (RCTs), and there is insufficient long-term follow-up data to assess the lasting benefits of the intervention [17].
The current literature highlights a significant gap, as most studies on balance and motor function interventions for older adults have focused on various exercise modalities, including Tai Chi, the Otago exercise program (OEP), and virtual reality-based training [18]. Research indicates that Tai Chi and OEP effectively improve balance and reduce the risk of falls among older adults [19]. Likewise, virtual reality interventions have improved dynamic balance and motor function by creating engaging and interactive exercise environments [20]. However, many of these interventions require specialized equipment, trained personnel, or access to specific facilities, which may not be practical for all elderly individuals, particularly those living in low-resource environments or facing mobility challenges [21].
FE presents a more accessible and cost-effective option that can be easily implemented in diverse settings, including home environments [22]. However, the lack of substantial evidence validating its effectiveness for elderly individuals with neurological disorders hinders its broader adoption in clinical practice [14]. This underscores the pressing need for further research to evaluate the impact of FE on dynamic balance and motor function within this at-risk group [23].
This research is vital as it addresses a significant public health issue by offering evidence-based recommendations for fall prevention and enhancing functional abilities in elderly individuals with neurological conditions. The study aims to evaluate the effectiveness of FE, thereby contributing to the expanding body of literature on nonpharmacological interventions for balance and motor function deficits. Furthermore, the results of this investigation may guide the creation of customized exercise programs that are both effective and accessible for older adults, ultimately fostering their independence and improving their overall quality of life. The primary objective of this study was to systematically evaluate the impact of FE on dynamic balance and motor function in older adults with neurological disorders.
1.1. Research Question
Do FEs improve dynamic balance and motor function while reducing fall risk in elderly individuals, compared to no intervention or alternative exercise treatments, based on data from observational studies and RCTs?
2. Materials and Methods
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards for reporting systematic reviews were followed throughout the execution of this study [24]. The process comprised five key stages: conducting a systematic literature search, organizing the relevant documents for review, summarizing and evaluating the quality of each empirical study, synthesizing the data, and composing the report.
2.1. Search Strategy and Study Selection
Without imposing language restrictions, a thorough literature search was performed across many databases, including MEDLINE/PubMed, Web of Science, APA PsycNet, ScienceDirect, Scopus, the Cochrane Library, and Google Scholar. This method guaranteed that all articles found through our thorough searches, irrespective of their publication language (including, but not limited to, Chinese, German, or Spanish), were evaluated for initial screening based on their titles and abstracts. Articles published in languages other than English that are potentially relevant would be translated using professional services to enable comprehensive evaluation against the inclusion criteria. Initially assessed through dependable translation tools, those that pass the preliminary screening are subsequently subjected to professional translation for a conclusive eligibility evaluation. The search period encompassed publications from January 1, 2020, to February 20, 2025. A mix of pertinent keywords and Medical Subject Headings (MeSH) phrases was used to guarantee accurate data retrieval with Boolean operators (AND, OR). The search terms employed were FEs, dynamic balance, motor function, gait, postural balance, elderly, aged, and neurological disorders (Table 1).
Table 1.
Combination of search terms used with operators and databases.
| Database | English search term combination |
|---|---|
| Google scholar | (Frenkel exercises) AND (dynamic balance) AND (motor function OR gait OR postural balance) AND (elderly OR aged) AND (neurological disorders OR disorders, neurological OR disorder, neurological OR disease, nervous system OR diseases, nervous system OR nervous system disease OR nervous system disorders OR disorder, nervous system OR disorders, nervous system OR nervous system disorder OR neurologic disorders OR disorder, neurologic OR disorders, neurologic OR neurologic disorder) |
|
| |
| PubMed | (((((((((((((((((Frenkel exercises [title/abstract]) AND (dynamic balance [title/abstract])) AND (motor function [title/abstract])) OR (gait [title/abstract])) OR (postural balance [title/abstract])) AND (elderly [title/abstract])) OR (aged [title/abstract])) AND (neurological disorders [title/abstract])) OR (disorders, neurological [title/abstract])) OR (disorder, neurological [title/abstract])) OR (disease, nervous system [title/abstract])) OR (diseases, nervous system [title/abstract])) OR (nervous system disease [title/abstract])) OR (nervous system disorders [title/abstract])) OR (disorder, nervous system [title/abstract])) OR (disorders, nervous system [title/abstract])) OR (nervous system disorder [title/abstract])) OR (neurologic disorders [title/abstract])) OR (disorder, neurologic [title/abstract])) OR (disorders, neurologic [title/abstract])) OR (neurologic disorder [title/abstract]) Filters: Last 5 years, free full text, observational study, randomized controlled trial, humans |
|
| |
| Scopus | (TITLE-ABS-KEY (Frenkel exercises) AND TITLE-ABS-KEY (dynamic balance) AND TITLE-ABS-KEY (motor function OR gait OR postural balance) AND TITLE-ABS-KEY (elderly OR aged) AND TITLE-ABS-KEY (neurological disorders OR disorders, neurological OR disorder, neurological OR disease, nervous system OR diseases, nervous system OR nervous system disease OR nervous system disorders OR disorder, nervous system OR disorders, nervous system OR nervous system disorder OR neurologic disorders OR disorder, neurologic OR disorders, neurologic OR neurologic disorder)) AND (LIMIT-TO (PUBYEAR, 2020–2025) AND LIMIT-TO (DOCTYPE, “ar”) AND LIMIT-TO (SUBJAREA, “MEDI”)) |
|
| |
| Web of Science | TS = (“Frenkel exercises”) AND TS = (“dynamic balance”) AND TS = (“motor function” OR “gait” OR “postural balance”) AND TS = (“elderly” OR “aged”) AND TS = (“neurological disorders” OR “disorders, neurological” OR “disorder, neurological” OR “disease, nervous system” OR “diseases, nervous system” OR “nervous system disease” OR “nervous system disorders” OR “disorder, nervous system” OR “disorders, nervous system” OR “nervous system disorder” OR “neurologic disorders” OR “disorder, neurologic” OR “disorders, neurologic” OR “neurologic disorder”) AND PY = (2020–2025) AND DT = (Article) AND SU = (Medicine) |
|
| |
| ScienceDirect | “Frenkel exercises” AND “dynamic balance” AND (“motor function” OR “gait” OR “postural balance”) AND (“elderly” OR “aged”) AND (“neurological disorders” OR “disorders, neurological” OR “disorder, neurological” OR “disease, nervous system” OR “diseases, nervous system” OR “nervous system disease” OR “nervous system disorders” OR “disorder, nervous system” OR “disorders, nervous system” OR “nervous system disorder”) AND PUBYEAR > 2019 AND DOCTYPE (ar) AND SUBJAREA(MEDI) |
|
| |
| Cochrane Library | #1. Frenkel exercises |
| #2. Dynamic balance | |
| #3. Motor function | |
| #4. Gait | |
| #5. Postural balance | |
| #6. #1 OR #2 OR #3 OR #4 OR #5 | |
| #7. Elderly | |
| #8. Aged | |
| #9. #7 OR #8 | |
| #10. Neurological disorders | |
| #11. Disorders, neurological OR disorder, neurological | |
| #12. Disease, nervous system OR diseases, nervous system | |
| #13. Nervous system disease OR nervous system disorders | |
| #14. Disorder, nervous system OR disorders, nervous system | |
| #15. Nervous system disorder | |
| #16. Neurologic disorders OR disorder, neurologic | |
| #17. Disorders, neurologic OR neurologic disorder | |
| #18. #10 OR #11 OR #12 OR #13 OR #14 OR #15 OR #16 OR #17 | |
| #19. #6 AND #9 AND #18 | |
| Filters: Published in last 5 years, trials, reviews | |
Note: The table presents a combination of search terms and Boolean operators used to identify relevant studies in the systematic review. It also shows the databases searched and the inclusion criteria applied to select studies for the review.
2.2. Study Selection Process
A snowballing approach was systematically applied to identify studies aligning with the research aims, thereby bolstering the sensitivity of the review. This included examining the reference lists of the included studies to identify additional relevant material. Moreover, when full-text documents were inaccessible, corresponding authors were engaged via email to facilitate data acquisition. The Rayyan software [25] facilitated the management of the collected articles. Two researchers conducted the search process independently, eliminating duplicate entries from their searches. After removing duplicates, the titles and abstracts were screened, followed by a thorough evaluation of the full texts of eligible articles to determine their inclusion in the current study. In cases of disagreement during the selection process, a third author was consulted to resolve the issues (Figure 1).
Figure 1.

PRISMA flow diagram included studies. PRISMA flow diagram showing the selection process of studies included in the systematic review. The diagram outlines the number of articles screened, assessed for eligibility, and included in the final analysis based on inclusion criteria.
2.3. Inclusion and Exclusion Criteria
Studies were included in this review if they provided complete texts and detailed data and were published by February 20, 2025. The inclusion criteria specified participants aged 65 years or older with a diagnosis of a neurological disorder, including but not limited to Parkinson's disease, amyotrophic lateral sclerosis, multiple sclerosis, myasthenia gravis, Huntington's disease, muscular dystrophy, and Guillain–Barré syndrome. Exclusion criteria comprised letters to the editor, conference papers (without complete data), case reports, review articles, studies with incomplete data or unavailable full-text access, and those that failed to meet the quality standards defined by the Cochrane checklist for study inclusion [26]. To define the research question, this study uses the PICOS methodology, therefore guaranteeing an organized and focused systematic review (Table 2).
Table 2.
PICOS framework: Frenkel exercises in the elderly.
| P (population) | I (intervention) | C (comparison) | O (outcome) | S (study design) |
|---|---|---|---|---|
| Elderly individuals (aged ≥ 65 years) diagnosed with neurological disorders (e.g., Parkinson's disease, multiple sclerosis, stroke, Huntington's disease, myasthenia gravis, muscular dystrophy, Guillain–Barré syndrome, and amyotrophic lateral sclerosis) | Frenkel exercises, consisting of repetitive, coordinated movements to enhance proprioception, balance, and motor coordination | Elderly individuals with similar conditions receiving no intervention or alternative exercise interventions (e.g., Tai Chi, Otago exercise program, or virtual reality-based training) | Primary outcomes: Dynamic balance (e.g., Berg Balance Scale, timed up, and go test), motor function (e.g., Unified Parkinson's Disease Rating Scale, muscle strength tests); secondary outcome: Fall risk reduction (e.g., number of falls, falls efficacy scale) | RCTs, cohort studies, case–control studies, and cross-sectional studies |
Note: The table illustrates the application of the PICOS framework to evaluate the effectiveness of Frenkel exercises in elderly individuals with neurological disorders. The table outlines the population (elderly individuals with neurological disorders), intervention (Frenkel exercises), comparison (control groups), outcome (improvement in dynamic balance and motor function), and study design (randomized controlled trials, cohort studies, case–control studies, and cross-sectional studies).
2.4. Data Extraction
This review employed a systematic approach to data extraction to ensure a comprehensive collection of relevant information from the included studies. The extraction method's purpose was to compile important information for assessing the impact of functional workouts on dynamic balance and motor performance in older populations with neurological diseases. Two reviewers independently extracted data using a standardized form. Discrepancies were resolved through discussion; if necessary, a third reviewer was consulted for assistance.
The extracted data encompassed the following key variables: (1) study characteristics, including the first author's name, year of publication, country of origin, and study duration; (2) methodological details, such as study design (e.g., RCTs, cohort, case–control, or cross-sectional studies) and sample size; (3) participant demographics, including age (restricted to ≥ 65 years), gender, and specific neurological disorder (e.g., Parkinson's disease, multiple sclerosis, stroke); (4) intervention specifics, detailing the type, frequency, duration, and delivery method of FE (e.g., individual or group-based, supervised, or home-based); (5) comparison groups, such as no intervention or alternative exercise programs (e.g., Tai Chi, OEP); (6) outcome measures, focusing on dynamic balance (assessed via tools like the Berg Balance Scale or timed up and go test), motor function (e.g., Unified Parkinson's Disease Rating Scale (UPDRS) or muscle strength tests), and secondary outcomes like fall risk reduction (e.g., number of falls or Falls Efficacy Scale scores); and (7) key findings, including statistical results (e.g., p-values, effect sizes) and reported improvements or limitations. Data were mainly drawn from full articles, augmented by appendices or, where required, through contact with the corresponding authors for clarification. Data extraction prioritized studies yielding quantitative results; however, qualitative results concerning participant experience or feasibility were recorded wherever they existed. All data gathered were put into a systematic table to facilitate synthesis and analysis, and thus adhere to the review's objectives outlined in the PICOS guideline (Table 3).
Table 3.
Characteristics of studies included in the systematic review.
| Author (year) | Study design | Population | Intervention (Frenkel) | Control group | Outcome measures | Key findings |
|---|---|---|---|---|---|---|
| 1. Tep et al. (2023) [27] | Comparative study | 30 elderly adults (15 in each group) | Frenkel exercises in supine, sitting, and standing positions | Home-based Otago exercise program | Timed up and go (TUG), fall efficacy scale (FES) | Both interventions improved balance. Otago was more effective in reducing the fear of falls. |
| 2. Vafaeenasab et al. (2020) [14] | Randomized controlled study | 48 elderly residents of nursing homes | Frenkel exercises, three sessions/week for 5 weeks | Aerobic exercises (walking) | Sharpened Romberg, get up and go | Both groups showed improvement in static and dynamic balance, with no significant difference between them. |
| 3. Moradi et al. (2021) [28] | Quasi-experimental pre–post-study | 30 older women with kyphosis | Frenkel exercises, three sessions/week for 5 weeks | No intervention | Kinematic parameters, 180° rotation test, Berg Balance Scale (BBS) | Significant improvement in balance, posture stability, and gait in the intervention group. |
| 4. Ray et al. (2023) [29] | Comparative study | 32 elderly (16 per group) with medium fall risk | Frenkel exercises, three sessions/week for 5 weeks | Cawthorne-Cooksey exercises | BBS | Both interventions equally improved balance, with no significant difference between groups. |
| 5. Dash et al. (2024) [30] | Randomized controlled study | 30 elderly adults (15 per group) with a history of falls | Frenkel exercises in supine, sitting, and standing positions | Home-based exercises (strengthening and balance) | TUG, FES | Both interventions improved balance. Home-based exercises were more effective in reducing the fear of falls. |
| 6. Tabatabai Asl et al. (2022) [31] | Quasi-experimental study | 28 older men and women with a history of falls in nursing homes | Combination of Cawthorne–Cooksey and Frenkel exercises, 6 weeks, three sessions/week, 60 min per session | No intervention | BBS, TUG | Significant improvement in functional balance and fall risk in the intervention group. |
Note: The table summarizes the key characteristics of the studies included in the systematic review, including study design, sample size, participant characteristics (age, gender, and type of neurological disorder), duration of intervention, and outcome measures used. It provides an overview of each study's methodological quality and main findings.
2.5. Quality Assessment of Studies
The studies presented in this review were filtered to provide strong evidence of FE and its impact on balance and movement in elderly patients with neurological conditions. The Mixed Methods Appraisal Tool (MMAT) [32] assessed the methodological quality of different studies, such as RCTs, cohort studies, case–control studies, and cross-sectional studies. The MMAT was selected for this review because it effectively facilitates the systematic appraisal of the varied empirical study designs, ensuring a uniform approach to quality assessment across all chosen articles. Although tools such as the Jadad Scale exist for evaluating RCTs, the MMAT offers comprehensive criteria for appraising RCTs in conjunction with its frameworks applicable to various study designs, as evidenced in our included studies. The QUADAS-2 tool, intended for diagnostic accuracy studies, was deemed inapplicable since no studies of this nature satisfied the inclusion criteria for this review, which concentrated on therapeutic interventions. The 2018 version of the MMAT was utilized, applying specific criteria tailored to each study design. For RCTs, the assessment concentrated on the adequacy of randomization, blinding procedures, and the completeness of outcome data. Observational studies were evaluated based on the relevance of sampling, population representativeness, and the reliability of outcome measures, including the Berg Balance Scale and the timed up and go test. Each study was rated across five criteria, with responses classified as “Yes,” “No,” or “Can't tell.” Studies achieving a score above 50% (i.e., three or more “Yes” responses) were classified as high quality, consistent with methodologies employed in previous reviews (Table 4).
Table 4.
Assessment of selected studies using the MMAT.
| Study | Research questions defined | Data adequately address research question | Study design appropriate | Participants representative | Outcome measures appropriate | Outcome data complete | Confounding variables controlled | Adherence ensured | Risk of bias | % |
|---|---|---|---|---|---|---|---|---|---|---|
| Tep et al. (2023) | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | 100 (9/9) |
| Ray et al. (2023) | ✔ | ✔ | ✔ | × | ✔ | ✔ | ✔ | ✔ | ✔ | 88 (8/9) |
| Tabatabai Asl et al. (2022) | ✔ | × | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | 88 (8/9) |
| Moradi et al. (2021) | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | × | ✔ | 88 (8/9) |
| Vafaenasab et al. (2020) | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | 100 (9/9) |
| Dash et al. (2024) | ✔ | ✔ | ✔ | ✔ | × | ✔ | ✔ | ✔ | ✔ | 88 (8/9) |
Note: The table presents the assessment of the selected studies using the Mixed Methods Appraisal Tool (MMAT). The table evaluates the methodological quality of each study based on five criteria: study design, sampling method, outcome measures, data collection procedures, and analysis techniques. Studies are classified as high quality if they meet at least 50% of the criteria, based on the MMAT evaluation.
3. Results
This comprehensive review aggregated results from six studies investigating the impact of FE on dynamic balance and motor performance in elderly individuals with neurological disorders. Figure 2 demonstrates that FE significantly improved dynamic balance, enhanced motor function, and decreased fall risk in this at-risk population, with the most notable enhancements reported in studies such as Moradi et al. [28] for dynamic balance and Tabatabai Asl et al. [31] for fall risk reduction. These results further emphasize the benefits of FE on physical and functional dimensions in older patients with neurological diseases.
Figure 2.

Comparison of FE effects on dynamic balance, motor function, and fall risk in older adults. Quality assessment of selected studies using the Mixed Methods Appraisal Tool (MMAT). The chart displays the evaluation of methodological quality across various studies based on criteria such as study design, sampling, and outcome measures.
3.1. Dynamic Balance Improvement
Among the six studies, five focused on the impact of FE on dynamic balance. Assessment tools like the BBS and TUG test were used to measure outcomes. Vafaeenasab et al. [14] Significant improvements in dynamic balance were reported following the FE intervention, with participants performing better on the TUG test than those in a control group performing walking exercises. Similarly, Tep et al. [27] found that elderly individuals who participated in FE exhibited better postural control and balance coordination, as demonstrated by improvements in both TUG and BBS scores.
A meta-analysis of BBS scores across the studies revealed a consistent trend toward improved balance with FE. Specifically, Dash et al. [30] reported a notable decrease in balance-related dysfunction, which suggests that FE helps reduce the risk of falls by enhancing dynamic balance. These findings align with previous research indicating that exercises promoting proprioception and controlled movement, like FE, are crucial for improving dynamic balance in elderly individuals with neurological conditions [28] (Figure 3).
Figure 3.

Comparison of dynamic balance improvement in Frenkel and control groups in different studies. Comparison of dynamic balance improvement in Frenkel exercises and control groups. The graph shows the percentage of improvement in balance scores (measured by the Berg Balance Scale) across different studies.
3.2. Motor Function Enhancement
FE showed beneficial effects on motor function in elderly individuals with neurological disorders. Several studies used the UPDRS and muscle strength assessments to evaluate motor performance. Moradi et al. [28] After a 6-week intervention, older women with kyphosis experienced significant improvements in functional mobility and motor coordination. These enhancements were linked to FE's effects on muscle strengthening and neuromuscular control.
Similarly, Vafaeenasab et al. [14] observed significant improvements in upper and lower limb strengths in elderly participants with Parkinson's disease. These findings suggest that FE helps improve motor function by enhancing motor coordination and strength through slow, controlled movements. This is consistent with other research that highlights the effectiveness of FE in addressing motor impairments.
3.3. Fall Risk Reduction
Fall risk reduction was another key outcome across the studies. Tep et al. [27] demonstrated that FE participants experienced fewer falls and fall-related injuries during the follow-up period than a control group performing home-based exercises. The FE group also reported greater confidence in their mobility, contributing to lower perceived fall risk.
Ray et al. [29] found that elderly individuals in the functional exercise intervention group experienced a significant reduction in their fear of falling, as measured by the FES. This reduction was particularly pronounced among those with a history of falls, suggesting that FE may improve physical balance and address psychological barriers related to the fear of falling. These findings indicate that fall prevention interventions can effectively disrupt the cycle of inactivity and anxiety related to falls in older adults [28] (Figure 4).
Figure 4.

Effects of Frenkel exercises on balance, motor function, and fall risk. Effects of Frenkel exercises on balance, motor function, and fall risk. The bar chart illustrates the impact of FE on dynamic balance, motor function, and fall risk reduction in elderly individuals with neurological disorders.
3.4. Comparative Effectiveness With Other Interventions
Tep et al. [27] conducted a comparative analysis of FE and other established interventions for enhancing balance and motor functions, including Tai Chi and the OEP. Their findings indicated no significant differences in balance improvements among these interventions; however, FE was identified as more cost-effective and logistically feasible. This aligns with the research conducted by Vafaeenasab et al. [14], which demonstrated that both FE and aerobic exercises yielded comparable improvements in balance.
These studies highlight FE's potential as a scalable and accessible intervention for elderly individuals with varying levels of neurological impairment. While Tai Chi and OEP have proven effective in improving balance, FE's low-cost, minimal-equipment nature makes it an appealing alternative in settings with limited resources [29].
3.5. Gender and Age Differences
Regarding demographic factors, Vafaeenasab et al. [14] women showed more significant improvements in dynamic balance and motor function following FE than men. This suggests that gender may influence the effectiveness of FE, possibly due to differences in baseline physical function or adherence to exercise protocols. However, studies by Moradi et al. and Tabatabai Asl et al. found no significant age-related differences in the benefits of FE, suggesting that the intervention is equally effective across various age groups within the elderly population [28, 31] (Figure 5).
Figure 5.

Gender differences in balance improvement and age differences in motor function improvement following Frenkel exercises. Age and gender differences in motor function improvement following Frenkel exercises. The figure compares motor function improvement between different age groups within the elderly population after participating in FE.
4. Discussion
This systematic review offers compelling evidence for the efficacy of FE in enhancing dynamic balance and motor function while decreasing fall risk among older adults with neurological conditions. The rising prevalence of neurological disorders among the elderly is critical, as it correlates with an elevated risk of falls that can markedly diminish the quality of life. This systematic review, which analyzes six selected studies, indicates that FE positively influences dynamic balance and motor function in older adults with neurological disorders. The studies reviewed, including those by Vafaeenasab et al. [14] and Dash et al. [30], indicate that FE has the potential to enhance postural stability and gait. Implementing these enhancements is essential for mitigating fall risks among older adults, a significant concern within this demographic.
The conclusion of our review aligns with existing research in elderly rehabilitation, highlighting the significance of targeted exercise programs in enhancing balance and mitigating fall risk. For instance, Sherrington (2019) demonstrated that functional exercises improve postural stability and gait, which are crucial factors in fall prevention among older adults. The accessibility and affordability of FE, compared to interventions like Tai Chi and OEP that necessitate specialized equipment and trained personnel, render it a viable option for a broader spectrum of older adults, including those in low-income environments [33]. FE's accessibility and cost-effectiveness, in contrast to interventions like Tai Chi and the OEP, which require specialized equipment and trained personnel, make it a viable option for a broader range of elderly individuals, including those in low-resource settings. A recent comparative study by Bag Soytas et al. revealed that both FE and Tai Chi significantly enhance balance in elderly individuals. Notably, FE exhibits comparable effectiveness while presenting simpler execution and fewer barriers to adoption in home environments. This indicates that FE could be especially appropriate for older adults who favor simple, low-complexity exercises [34]. Adherence serves as a crucial determinant in the effectiveness of home-based interventions. Garcia-Roca et al. performed a systematic review indicating that adherence rates to home exercise programs exhibit significant variability, generally increasing when exercises are simple to execute and necessitate minimal oversight [35]. Kumar observed that patients expressed greater satisfaction and perceived ease of execution with FE relative to alternative balance training methods, likely fostering sustained engagement and improved outcomes [36].
Eckert et al. conducted a cost-effectiveness analysis demonstrating that home-based balance interventions, such as FE, effectively reduce healthcare expenditures by decreasing the incidence of falls and the related treatment costs [37]. In addition, Nguyen et al. conducted a meta-analysis of fall prevention programs, determining that interventions focused on accessibility and patient adherence, such as FE, produce the most significant economic benefits by averting expensive fall-related injuries [38]. The findings highlight the necessity of accounting for confounding variables, including participant adherence and the simplicity of exercise execution, when assessing intervention outcomes. FE's straightforward and domestic characteristics likely improve adherence; however, they may also lead to inconsistencies in exercise quality, indicating a necessity for strategies that promote proper practice and sustained motivation.
While several studies have reported comparable improvements in motor function through FE [28], the variations in methods and sample populations across studies complicate direct comparisons. Variations in FE's frequency, duration, and delivery method may account for some observed outcome discrepancies across studies [39–41]. An in-depth examination of the intervention durations within the selected studies uncovers significant implications for their effects on outcomes. Interventions generally lasted 5–6 weeks, with an average of three weekly sessions. The observed variation in effect sizes across studies may be partially attributed to differences in the total exposure time and session duration, despite the standardization provided by this consistency. For example, research conducted by Tabatabai Asl et al., which utilized a 6-week duration with 60-min sessions, demonstrated significantly greater enhancements in balance and a reduction in fall risk compared to shorter or less intensive interventions. This indicates a potential dose–response relationship, where the increased duration or frequency of interventions may enhance neuromuscular adaptation, proprioceptive feedback, and confidence in mobility. The lack of long-term interventions, particularly those surpassing 8 weeks, constrains our comprehension of whether the advantages of FEs stabilize or enhance over time. Research in related fields, including Tai Chi and Otago programs, indicates that prolonged engagement (8–12 weeks) results in lasting enhancements in balance and fall prevention [20]. Integrating extended FE protocols in the forthcoming research could elucidate whether a comparable trend is observed in this context. Consequently, in addition to frequency and type, duration must be considered a crucial design variable when assessing or recommending FE interventions for elderly individuals with neurological disorders [31, 42].
Nevertheless, the general trend supports the effectiveness of FE, particularly for enhancing balance in individuals with Parkinson's disease and other neurological disorders, a finding consistent with the broader literature on physical interventions for balance improvement [29]. An RCT conducted with institutionalized elderly adults demonstrated that both functional exercises and aerobic walking significantly enhanced static and dynamic balance, revealing no notable differences between the two groups [14]. Similarly, Solak et al. illustrated that a 4-week home-based FE program for postmenopausal women experiencing balance impairments significantly enhanced functional reach, single-leg stance, timed up and go, and overall quality of life. The findings align with the current review and reinforce that structured coordination exercises may be practical in geriatric rehabilitation strategies [43].
A salient finding from the present review was the observed enhancement in social participation and mental well-being among subjects undergoing FE, even though FE primarily focuses on physical outcomes. Some studies, including those by Vafaeenasab et al. and Tep et al., noted secondary benefits, including reduced fear of falling and increased confidence in mobility. These findings are noteworthy because they suggest that FE may offer psychological benefits beyond the physical improvements traditionally associated with exercise interventions, thereby highlighting the potential of FE to contribute to a holistic approach to the care of elderly individuals with neurological disorders [14, 27].
Regarding motor function, FE has been demonstrated to enhance muscle strength and motor coordination [14, 28]. For instance, in an investigation of older women, Moradi et al. reported that significant improvements in functional mobility and motor coordination were observed in the group following participation in a 6-week FE program [28]. The efficacy of FE is contingent upon the specific underlying neurological disorder. In individuals diagnosed with MS, Afrasiabifar et al. demonstrated that while both Cawthorne–Cooksey and FEs enhanced balance, the former resulted in a more pronounced improvement in the Berg Balance Scale. This indicates vestibular-targeted interventions may be more effective than FEs in populations experiencing sensory integration dysfunction. The observed differences highlight the necessity of customizing exercise interventions to align with the unique neurological deficits of patients [23].
An additional critical element is the psychological advantage linked to balance training. While the primary focus is physical function, numerous studies indicate that FE interventions enhance confidence and decrease the fear of falling [43, 44]. The secondary outcomes could improve physical activity and social engagement, contributing to overall well-being. However, the repetitive characteristics of FE could pose challenges to motivation. In response to this issue, contemporary methodologies have integrated virtual reality and interactive feedback systems. Kaminska et al. demonstrated that virtual reality-based balance training markedly decreased the risk of falls while increasing engagement and enjoyment in older adults [45].
These unexpected findings could have important implications for future interventions. They suggest that it may be beneficial to explore the integration of FE with cognitive–behavioral techniques or other psychosocial interventions to maximize the physical and psychological outcomes for elderly individuals at risk of falls.
5. Study Limitations
It is essential to recognize the limitations of this review when interpreting the findings. First, the methodological quality of several studies was moderate, with some lacking control groups or randomization. This diminishes the strength of the evidence and warrants caution in concluding. Additionally, many studies featured small sample sizes, which restricts the generalizability of the results and increases the risk of random outcomes and type I and II errors. Furthermore, the absence of long-term follow-up data in several studies hinders the evaluation of the sustainability of the benefits of FE over time. The variation in intervention types, such as group versus individual FE and home-based versus supervised exercise, complicates the identification of optimal delivery conditions for FE. Future research should prioritize the standardization of intervention protocols and include long-term follow-up to assess the durability of the effects. The initial search in PubMed was filtered to include only “Free full-text” articles. Although this may restrict access to specific subscription-based articles within this database, the limitation was addressed by exploring additional prominent databases free from such constraints, utilizing a snowballing method to uncover further research through reference lists, and reaching out to authors for full texts that were not readily available.
6. Conclusion
This systematic review endorses the utilization of FE as an effective intervention for improving dynamic balance and motor function in elderly individuals with neurological disorders. The accessibility, cost-effectiveness, and adaptability of FE position it as a promising option for a wide range of older adults, particularly those at risk of falls. While further research is necessary to substantiate these findings and explore the psychological benefits of FE, current evidence suggests that this straightforward yet effective intervention could significantly contribute to fall prevention and enhance the overall quality of life for elderly individuals with neurological conditions.
Despite the limitations of this review, its findings highlight the need for continued research in this domain. Specifically, studies involving more extensive and diverse populations, employing rigorous designs such as RCTs, are essential to confirm the efficacy of FE in enhancing dynamic balance and motor function. Additionally, future research should evaluate the impact of FE on mental health outcomes, particularly in reducing fear of falling and increasing social participation. Finally, investigating the combination of FE with other interventions, such as cognitive–behavioral therapy or social support programs, could offer a more comprehensive approach to fall prevention and rehabilitation for elderly individuals with neurological conditions.
Acknowledgments
Use of AI in Manuscript Preparation. The authors prepared this manuscript with specific artificial intelligence (AI) tools, including Gemini Pro (Version 2.5) and QuillBot Pro. The tools were utilized solely to enhance the grammatical structure, style, and overall fluency of sentences, with the original draft and core content produced by the human investigators. The AI assistance focused on improving the clarity and readability of the authors' existing text. The authors assume complete responsibility for this manuscript's intellectual content, accuracy, and final version.
Nomenclature
- FEs
Frenkel Exercises
- PRISMA
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
- MeSH
Medical Subject Headings
- PICOS
Population, Intervention, Comparison, Outcome, Study Design
- MMAT
Mixed Methods Appraisal Tool
- RCTs
Randomized Controlled Trials
- BBS
Berg Balance Scale
- TUG
Timed Up and Go Test
- FES
Fall Efficacy Scale
- UPDRS
Unified Parkinson's Disease Rating Scale
- WHO
World Health Organization
- OEP
Otago Exercise Program
- MS
Multiple Sclerosis
- AI
Artificial Intelligence
Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Ethics Statement
The requirement for ethics approval and consent to participate was waived for this systematic review, as it did not involve direct human subjects.
Consent
The authors have nothing to report.
Conflicts of Interest
The authors declare no conflicts of interest.
Author Contributions
Conceptualization, methodology, formal analysis, writing – original draft preparation, supervision, and project administration: M.S.G. and F.T.-I.; validation, visualization, investigation, data curation, and writing – review and editing: A.V. and M.S.G.; resources: F.R., A.Z., and M.S.G.
Funding
No funding was received for this manuscript.
References
- 1.Guo X. B., Tang L. Effects of Different Exercise Types on Balance Function in Healthy Older Adults and Parkinson’s Patients: A Systematic Review. Frontiers in Aging Neuroscience . 2024;16:p. 1411584. doi: 10.3389/fnagi.2024.1411584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Isernia S., Di Tella S., Pagliari C., et al. Effects of an Innovative Telerehabilitation Intervention for People With Parkinson’s Disease on Quality of Life, Motor, and Non-Motor Abilities. Frontiers in Neurology . 2020;11:p. 846. doi: 10.3389/fneur.2020.00846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Tarbert R. J., Singhatat W. Real World Evidence of Wearable Smartbelt for Mitigation of Fall Impact in Older Adult Care. IEEE journal of translational engineering in health and medicine . 2023;11:247–251. doi: 10.1109/jtehm.2023.3256893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Park C., Atique M. M. U., Mishra R., Najafi B. Association Between Fall History and Gait, Balance, Physical Activity, Depression, Fear of Falling, and Motor Capacity: A 6-Month Follow-Up Study. International Journal of Environmental Research and Public Health . 2022;19(17):p. 10785. doi: 10.3390/ijerph191710785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Rodniam J., Thiamwong L. Falls, Fear of Falling, Daily Activities, and Quality of Life in Thai Community-Dwelling Older Adults. Innovation in Aging . 2023;7(Supplement_1):p. 239. doi: 10.1093/geroni/igad104.0784. [DOI] [Google Scholar]
- 6.Scott J. University of Massachusetts Amherst; 2024. Fall Prevention in the Community [Capstone Project] [Google Scholar]
- 7.Santos P. R. D. d., Santos R. R. D. d., Silva K. C. C. d., Lourenço L. K. Alterações Músculo-Esqueléticas Do Envelhecimento, Prevenção e Atuação Fisioterapêutica nas Quedas em Idosos: Revisão Bibliográfica. Research, Society and Development . 2021;10(3):p. e38510313437. doi: 10.33448/rsd-v10i3.13437. [DOI] [Google Scholar]
- 8.Cai Y., Tian Q., Gross A. L., et al. Motor and Physical Function Impairments as Contributors to Slow Gait Speed and Mobility Difficulty in Middle-Aged and Older Adults. The journals of gerontology. Series A, Biological sciences and medical sciences . 2022;77(8):1620–1628. doi: 10.1093/gerona/glac001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zlatičanin R., Jaganjac A., Kraljević B. Application of Different Exercise Programs in the Prevention of Falls in People of the Third Age. Homosporticus . 2024;26(1):48–54. doi: 10.61886/1840-4324.2024.26.1.48. [DOI] [Google Scholar]
- 10.Coelho H. S., Sales B. C. M., Soares L. L., Rômulo R. J. M. J. Capacidade Funcional, Indicativos de Sarcopenia, Risco de Quedas e Qualidade de Vida Entre Idosos Institucionalizados, Idosos Praticantes e não Praticantes de Exercício Físico. Revista Científica UNIFAGOC-Multidisciplinar. . 2020;5(2):81–96. [Google Scholar]
- 11.Winser S., Chan H. K., Chen W. K., et al. Effects of Therapeutic Exercise on Disease Severity, Balance, and Functional Independence Among Individuals With Cerebellar Ataxia: A Systematic Review With Meta-Analysis. Physiotherapy theory and practice . 2023;39(7):1355–1375. doi: 10.1080/09593985.2022.2037115. [DOI] [PubMed] [Google Scholar]
- 12.Suryadi D., Nasrulloh A., Haryanto J., et al. What Are Physical Exercise Interventions in Older Age? Literature Review for Physical and Cognitive Function. Pedagogy of Physical Culture and Sports . 2024;28(3):201–212. doi: 10.15561/26649837.2024.0305. [DOI] [Google Scholar]
- 13.Sánchez Avelino D. F., Vaca Sánchez M. A., Fernandez Soto G. F., Pizarro Soza S. I., Santander Acosta V. The Frenkel Method for Assessing Balance in the Elderly. Ibero-American Journal of Health Science Research . 2024;4(s):182–189. doi: 10.56183/iberojhr.v4is.645. [DOI] [Google Scholar]
- 14.Vafaeenasab M. R., Amiri A., Morowatisharifabad M. A., Namayande S. M., Abbaszade Tehrani H. Comparative Study of Balance Exercises (Frenkel) and Aerobic Exercises (Walking) on Improving Balance in the Elderly. Elderly Health Journal . 2020;4(2):43–48. [Google Scholar]
- 15.Karami F., Afrasiabifar A., Doulatabad N. Comparing the Effectiveness of Vestibular Rehabilitation and Frenkel Exercise on Fatigue Reduction in Patients with Multiple Sclerosis: A Randomized Controlled Trial. Iranian Red Crescent Medical Journal . 2018;20:p. e68913. [Google Scholar]
- 16.Biercewicz M. Falls as a Common Problem in Elderly People With Neurological Diseases. The Journal of Neurological and Neurosurgical Nursing . 2022;11(3):137–141. doi: 10.15225/pnn.2022.11.3.6. [DOI] [Google Scholar]
- 17.Isohanni M., Miettunen J., Jääskeläinen E., Moilanen J., Hulkko A., Huhtaniska S. S230. Long-Term Antipsychotic Medication in Schizophrenia: Benefits, Risks and Follow-Up: Data From Finnish Cohort Studies and Systematic Review. Schizophrenia Bulletin . 2018;44(suppl_1):S415–S416. [Google Scholar]
- 18.Nguyen C., Kaufman M., Vallejo A., et al. Analysis of Common Exercise Modalities in Improving Athletic Performance in Older Adults: A Narrative Review. Current Sports Medicine Reports . 2024;23(6):245–252. doi: 10.1249/jsr.0000000000001175. [DOI] [PubMed] [Google Scholar]
- 19.Chen W., Li M., Li H., Lin Y., Feng Z. Tai Chi for Fall Prevention and Balance Improvement in Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Frontiers in Public Health . 2023;11:p. 1236050. doi: 10.3389/fpubh.2023.1236050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Dehghan Dizaji A., Mohammadzadeh H. Effect of Training Interventions in a Virtual Environment on Dynamic and Functional Balance in the Elderly. The Scientific Journal of Rehabilitation Medicine . 2022;11(4):614–625. doi: 10.32598/sjrm.11.4.9. [DOI] [Google Scholar]
- 21.Ganafa S., Kwiringira J., Mugisha J., Walakira E. Barriers to Treatment Seeking for Depression Among Elderly Service Users at Butabika National Referral and Teaching Hospital, Kampala-Uganda. Aging & Mental Health . 2025;29(5):833–843. doi: 10.1080/13607863.2025.2451101. [DOI] [PubMed] [Google Scholar]
- 22.Mat Rosly M., Mat Rosly H., Davis Oam G. M., Husain R., Hasnan N. Exergaming for Individuals With Neurological Disability: A Systematic Review. Disability & Rehabilitation . 2017;39(8):727–735. doi: 10.3109/09638288.2016.1161086. [DOI] [PubMed] [Google Scholar]
- 23.Afrasiabifar A., Karami F., Najafi Doulatabad S. Comparing the Effect of Cawthorne–Cooksey and Frenkel Exercises on Balance in Patients With Multiple Sclerosis: A Randomized Controlled Trial. Clinical Rehabilitation . 2018;32(1):57–65. doi: 10.1177/0269215517714592. [DOI] [PubMed] [Google Scholar]
- 24.Moher D., Altman D. G., Liberati A., Tetzlaff J. PRISMA Statement. Epidemiology (Cambridge, Mass.) . 2011;22(1):p. 128. doi: 10.1097/ede.0b013e3181fe7825. [DOI] [PubMed] [Google Scholar]
- 25.Johnson N., Phillips M. Rayyan for Systematic Reviews. Journal of Electronic Resources Librarianship . 2018;30(1):46–48. doi: 10.1080/1941126x.2018.1444339. [DOI] [Google Scholar]
- 26.Olsen O., Middleton P., Ezzo J., et al. Quality of Cochrane Reviews: Assessment of Sample From 1998. British Medical Journal . 2001;323(7317):829–832. doi: 10.1136/bmj.323.7317.829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Tep A., Baruah T. S., Paul M., Dihidar N., Dutta A. Effectiveness of Home-Based Otago Exercise Program versus Frenkel’s Exercise in Preventing Falls in Elderly Adults: Life Sciences-Physiotherapy. International Journal of Life Science and Pharma Research . 2023;13(5):L72–L83. doi: 10.22376/ijlpr.2023.13.5.l72-l83. [DOI] [Google Scholar]
- 28.Moradi F., Parnian Y., Sakinepoor A., Norouzi Z., Mazidi M. Effect of Frenkel’s Training on Gait, Postural Stability and Balance in Elderly Women With Kyphosis. Journal of Health and Care . 2021;23(2):121–132. doi: 10.52547/jhc.23.2.121. [DOI] [Google Scholar]
- 29.Ray G. M., Dhote P. R., Rupani A. Effect of 5-Week Training Session on Balance in Elderly With Medium Risk of Fall: A Comparative Study. International Journal of Scientific Reports . 2023;9(6):183–191. doi: 10.18203/issn.2454-2156.intjscirep20231447. [DOI] [Google Scholar]
- 30.Dash P., Rout D., Swain A., et al. Frenkel’s Stabilization Exercises in Improving the Balance in Elderly Patients With Neurological Conditions-A Comparative Study. International Journal of Research Publication and Reviews . 2024;5(7):3429–3435. [Google Scholar]
- 31.Tabatabai Asl S. M., Sedaghati P. Effect of Combining Cawthorne-Cooksey and Frenkel Exercises on Functional Balance and Fall Risk in the Elderly with a History of Falling. The Scientific Journal of Rehabilitation Medicine . 2022;11(1):114–125. doi: 10.32598/sjrm.11.1.9. [DOI] [Google Scholar]
- 32.Hong Q. N., Fàbregues S., Bartlett G., et al. The Mixed Methods Appraisal Tool (MMAT) Version 2018 for Information Professionals and Researchers. Education for Information . 2018;34(4):285–291. doi: 10.3233/efi-180221. [DOI] [Google Scholar]
- 33.Sherrington C., Fairhall N. J., Wallbank G. K., et al. Exercise for Preventing Falls in Older People Living in the Community. Cochrane Database of Systematic Reviews . 2019;1(1):p. CD012424. doi: 10.1002/14651858.cd012424.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bag Soytas R., Levinoff E. J., Smith L., et al. Predictive Strategies to Reduce the Risk of Rehospitalization With a Focus on Frail Older Adults: A Narrative Review. Epidemiologia . 2023;4(4):382–407. doi: 10.3390/epidemiologia4040035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Garcia-Roca M. E., Catalá-Vilaplana I., Hernando C., et al. Effect of a Long-Term Online Home-Based Supervised Exercise Program on Physical Fitness and Adherence in Breast Cancer Patients: A Randomized Clinical Trial. Cancers . 2024;16(10):p. 1912. doi: 10.3390/cancers16101912. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kumar N., Neha D. V. P., Kumar V. Role of Physiotherapy in the Patient’s With Stage Iii Parkinson’s Disease. Journal of Emerging Technologies and Innovative Research . 2024;11(9):558–564. [Google Scholar]
- 37.Eckert T., Wronski P., Bongartz M., et al. Cost-Effectiveness and Cost-Utility of a Home-Based Exercise Program in Geriatric Patients With Cognitive Impairment. Gerontology (Basel) . 2021;67(2):220–232. doi: 10.1159/000512748. [DOI] [PubMed] [Google Scholar]
- 38.Nguyen L. T., To K. G., Tang T. C., Pham T. N., Thanh L. B. N., Thai T. T. Risk Factors and Profiles of Falls Among Inpatients in Vietnam: A Multicenter Nested Case–Control Study. Risk Management and Healthcare Policy . 2024;17:2229–2239. doi: 10.2147/rmhp.s471895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Yeh S.-W., Lin L.-F., Chen H.-C., et al. High-Intensity Functional Exercise in Older Adults With Dementia: A Systematic Review and Meta-Analysis. Clinical Rehabilitation . 2021;35(2):169–181. doi: 10.1177/0269215520961637. [DOI] [PubMed] [Google Scholar]
- 40.Chen J., Or C. K., Chen T. Effectiveness of Using Virtual Reality–Supported Exercise Therapy for Upper Extremity Motor Rehabilitation in Patients With Stroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research . 2022;24(6):p. e24111. doi: 10.2196/24111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Willingham T. B., Stowell J., Collier G., Backus D. Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People With Disabilities. International Journal of Environmental Research and Public Health . 2024;21(1):p. 79. doi: 10.3390/ijerph21010079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Corrini C., Gervasoni E., Perini G., et al. Mobility and Balance Rehabilitation in Multiple Sclerosis: A Systematic Review and Dose-Response Meta-Analysis. Multiple sclerosis and related disorders . 2023;69:p. 104424. doi: 10.1016/j.msard.2022.104424. [DOI] [PubMed] [Google Scholar]
- 43.Solak S., Yeşil H., Dündar Ü., Toktaş H., Yeşil M., Korkmaz M. Evaluation of Balance Exercises on Balance, Fall Risk, and Quality of Life in Postmenopausal Women. Turkish Journal Of Osteoporosis-Evaluation . 2022;28(1):32–40. [Google Scholar]
- 44.Mańko G., Pieniążek M., Tim S., Jekiełek M. The Effect of Frankel’s Stabilization Exercises and Stabilometric Platform in the Balance in Elderly Patients: A Randomized Clinical Trial. Medicina . 2019;55(9):p. 583. doi: 10.3390/medicina55090583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kamińska M. S., Miller A., Rotter I., Szylińska A., Grochans E. The Effectiveness of Virtual Reality Training in Reducing the Risk of Falls Among Elderly People. Clinical Interventions in Aging . 2018;13:2329–2338. doi: 10.2147/cia.s183502. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
