Skip to main content

Relationship between core muscle strength and dynamic balance among hospital staff

A Correction to this article was published on 19 July 2022

This article has been updated



Healthcare workers are at the risk of developing weakness in core muscles and balance disturbance due to stress at the workplace. The purpose of this study was to examine the relationship between core muscle strength measured with a plank test and dynamic balance assessed with the modified Star Excursion Balance Test (MSEBT) among hospital staff. A convenience sample of 27 healthy male employees at Rabigh General Hospital participated in the study; participants performed MSEBT and plank tests in the gym of the physical therapy department at the hospital.


The mean age of the 27 participants was 32.19, standard deviation (SD) 4.16 years; mean height was 171.15, SD 6.39 cm; mean weight was 72.37, SD 11 kg; and body mass index was 24.73, SD 3.62 kg/m2. Pearson’s correlation coefficient showed a positive significant correlation between scores on the plank test with leg reach scores on MSEBT. The data showed a highest correlation between scores on plank test with dominant anterior leg reach scores on MSEBT (r = 0.446, p = 0.010), and lowest with non-dominant anterior leg reach scores on MSEBT (r = 0.335, p = 0.044).


Weak to moderate positive significant correlation between the plank test of isometric core muscle strength and both the right and dominant of the anterior, posteromedial, and composite score on the MSEBT of the lower limb and significantly with non-dominant anterior reach. There was no significant difference between the administrative and health practitioner on the plank test or MSEBT.


Healthcare workers (HCWs) play an important role in patient care. Hospital workers and nurses provide essential services to the patients in public health clinics. The healthcare field is also one of the fast-growing job markets globally due to the increasing number of aged population and diseases. One of the common musculoskeletal disorders reported in the scientific literature was the weak core muscle [1,2,3]. HCWs are at the risk of developing weakness in the core muscles and musculoskeletal disorders due to the busy work schedule and occupational stress [4, 5]. Reports from the Centers for Disease Control and Prevention (CDC) in the USA have estimated 18 million healthcare staff annually are at a greater risk of developing suffering musculoskeletal disorders during their employment [6].

There is a group of unique core muscles (pelvic floor muscles, transverses abdominis, multifidus, internal and external oblique’s, rectus abdominis, erector spinae, and diaphragm) work independently to contribute to the overall stability of the spine. These core muscles of the trunk were found to be more important for spine stabilization, especially the transverses abdominis (TrA). Studies have reported that the delay in the activation of core muscles is associated with chronic low back pain (CLBP) [7]. The studies on core muscle function are important in understanding neuromuscular risk factors associated with CLBP [8]. According to Kibler and colleagues, the muscles of the core form a rigid cylinder with a higher moment against body disorder and produce a strong basis for mobility. The abdominal muscles, which include the internal and external obliques, transverse abdominis, and rectus abdominis, all contract to produce spinal stability and thus a greater foundation of strength in the movement of the lower extremity [9]. The transverses abdominis has also been shown to be significant in lumbar spine stabilization. When it contracts, it raises intra-abdominal pressure and tightens the thoracolumbar fascia [9] Core muscle contraction occurs before the start of limb movement, providing the limbs with a strong foundation for motion and muscle activation [10]. The oblique abdominals and rectus abdominis are excited in limb movement-specific patterns, providing postural protection before limb movements [9]. Retraining the core muscles is reported to alleviate pain and improve static and dynamic spine balance [11]. Exercises are designed to improve endurance and initiation (onset of contraction) of core muscles more than mere strength. Exercises such as bird and dog and cat and camel along with tummy tucks in quadruped position are reported to improve patients with low back pain and athletes as a preventative strategy [12].

The ability of the individual to maintain the center of gravity (COG) within the base of support during movement is known as dynamic balance. Dynamic equilibrium is important for everyday activities such as stair climbing, hiking, and walking. It's also a major factor in lower-limb injuries [13]. Balance, in general, refers to the maintenance to hold the center of gravity inside the base of support which may be dynamic or static. Static balance is characterized as holding the body inside the base of support when in static equilibrium. Dynamic balance is more difficult to achieve because it requires the ability to preserve equilibrium while transitioning from a dynamic to a static state. Both dynamic and static equilibrium requires an effective visual system. Inputs from the integrated visual, proprioceptive, and vestibular systems are combined to provide an efferent response to body control within the base of support [14].

There is scarcity of research published related to the association of core muscle strength and balance disorders in healthcare providers. A purpose was to examine the relationship between core muscle strength and dynamic balance among hospital staff. It was hypothesized that there would be no significant difference between administrative and health practitioners in dynamic balance and core muscle strength



The participants were eligible to participate in our study if they were allied health care workers or hospital administrative staff employed at Rabigh General Hospital in Rabigh city, Saudi Arabia. Individuals with musculoskeletal injury and neurological, vestibular, or balance disorders were excluded. Twenty-seven healthy male employees through convenience sampling method consented to participate with mean (M) age of 32.19 and standard deviation (SD) of ± 4.16 years; height: M=171.15, SD ± 6.39 cm; weight: M=72.37, SD ± 11 kg; and BMI: M=24.73, SD± 3.62 kg/m2. Out of the 27 participants in our study, 14 were physiotherapists and the remaining were administrative staff.


Modified Star Excursion Balance Test (MSEBT)

The MSEBT is a concise version of the Star Excursion Balance Test (SEBT) and is used to assess postural control, strength, and proprioception [15]. The MSEBT was administered by instructing the person to stand on one leg while the other leg reaches in three different directions (anterior, posterolateral, and posteromedial). A composite score was then determined by adding the distances achieved in the three reach directions. The MSEBT is a reliable and valid tool for quantitative balance assessment [16]. The participants were instructed to extend one leg maximally in three directions (ANT, PM, and PL) without changing the position of their stance leg. The participants were instructed to place hands on their hips while performing the test. The test could be used to evaluate athletic capacity, but it could also be used to check for deficiencies in complex postural control caused by musculoskeletal injury [15]. All reach distances were normalized as a percentage of the stance limb length (LL) using the formula [% = (excursion distance/LL) × 100]. A composite score, which is an average of all three reach distances, [Comp= ((ANT+PM+PL)/(3 × LL)) × 100] was also calculated for each limb. The absolute difference in the anterior reach direction distance (centimeters) between limbs was calculated to assess side-to-side asymmetry [15]. The normative data of the MSEBT for males recreationally trained (mean ± SD; ANT: 79.2 ± 7.0, PM: 95.6 ± 8.3, PL: 90.4 ± 13.5) [17].

Plank test

The plank exercise test is a position developed to assess the strength of the core stabilization muscles, and it is one of the exercise used to strengthen core stability [18] (Fig. 1). The plank test is reliable on the (ICC = 0.915) and a valid measure to evaluate performance in both older and younger adults [19].

Fig. 1
figure 1

Plank test


Before data collection, all subjects read and signed an informed consent document approved by the Ministry of Health’s Institutional Review Board (H-02-J-002) and start to obtain the anthropometric measurements. Participants were explained about the procedure of the tests. Participants were given a practice trial before the actual performance of the test. After the practice trial and before the test begins, each participant was given a few minutes of rest to prepare for the test.

Assessment of dynamic balance

To assess the participant’s dynamic balance, MSEBT was performed according to a published protocol (Plisky et al., 2009). Bare-footed participants began the MSEBT with six practice trials in every direction before they underwent the formal testing. Then conducted 3 test trials in each direction and the mean value of the 3 test trials was determined for data analysis. In every trial, the participants were educated to spread foot as far as possible and the opposite foot was maintained in the center. In each reach trial, the greatest reach distance was reported to the nearest 0.5 cm. Reach distances in centimeters (cm) were also standardized to of participant's leg length by dividing the reach distance by the limb length and then multiplying by 100 to allow for the effect of leg length on test results [15].

Lower limb girth measurement

Lower limb length is measured by girth tape in the supine position from the anterior superior iliac spine to the medial malleolus. The measure of the leg length using strip measure has proved excellent reliability [15]. The dominant lower limb for the participants was determined based on their answer to the question “which foot do you apply to hit a ball with.”

Plank Test

In the Plank test, participants maintain a prone posture in which the forearm bears the weight of the body while the hands make a fist. The elbows are placed shoulder distance apart with the ankle joint at 90° angulation. The abdominal drawing-in maneuver was used to compress the abdomen; the shoulders, trunk hips, and knees were held in a straight line with toes touching the ground (Fig. 1). While performing the plank test exercises, participants were instructed to maintain a neutral pelvis and spine position and breathe regularly. The normative data of the plank test average: 1 to 2 min and the test were ranged from very poor < 15 s to excellent > 6 min (Topendsports, 2021). The test was stopped when (1) the participant became fatigued or voluntarily stopped the test, (2) the participant refused to hold the correct posture, or (3) the participant indicated adverse effects from the test (e.g., headache, dizziness, pain not associated with fatigue).

Statistical analysis

The independent t test was used to compare the mean scores of MSEBT between male administrative and health practitioners. Bivariate correlations (Pearson’s correlation coefficient) were used to measure the linear relationship between the three components of MSEBT and the plank test among participants. The statistical significance amount was set at p < 0.05. For data analysis, the SPSS software package (SPSS Inc., Chicago, 2020) was used.


All data met the assumptions of normality with no outliers. In the male administrative and health practitioner groups, there were no statistically significant differences in age, height, or body mass (Table 1).

Table 1 Characteristics of the participants

Core muscle strength and dynamic balance

The descriptive data of the participants are provided in Table 1. Independent t test showed that core muscle strength and dynamic balance revealed a non-significant difference between male administrative and health practitioners (p > 0.05) (Table 2).

Table 2 Values for MSEBT and plank tests

Anterior leg reach

There was a significant correlation between the plank test with right anterior leg reach (r = 0.442, p = 0.010), dominance anterior leg reach (r = 0.446, p = 0.010), and non-dominance anterior leg (r = 0.335, p = 0.044) and a non-significant correlation with left anterior leg reach distances (r = − 0.042, p = 0.418). All the other correlations between variables are provided in Tables 3 and 4.

Table 3 Correlations between plank test and MSEBT
Table 4 Differences between administrative and practitioner

Posteromedial leg reach

There was a significant correlation between the plank test with right posteromedial leg reach (r = 0.338, p = .042), dominance posteromedial leg reach (r = 0.395, p = 0.021) and non-significant correlation with left posteromedial leg reach (r = 0.275, p = 0.083), non-dominance posteromedial leg reach (r = 0.277, p = 0.081).

Posterolateral leg reach

There was no significant correlation between the plank test with the right, left, dominant, and non-dominant posterolateral leg reach.

Composite score leg reach

There was a significant correlation between plank test with right composite leg reach (r = 0.355, p = 0.035), dominance composite leg reach (r = 0.355, p = 0. 034), and non-significant correlation with left composite leg reach (r = 0.297, p = 0.066) and non-dominance composite leg reach (r = 0.296, p = 0.067).


The purpose of this study was to examine the relationship between Plank Test and MSEBT performance among hospital staff. The main findings of our study were that correlations between reach distances in different directions of MSEBT with the plank test were generally weak to moderate. The strongest relationship was found between the MSEBT anterior (ANT) dominant leg reach distances scores with the plank test. And the study also showed a smaller, but statistically significant relationship with ANT right, ANT non-dominant, PM right, PM dominant, right composite score, and dominant composite score. No significant relationship was found between the MSEBT PL leg reach distances scores with the plank test. There was no difference in MSEBT and Plank test scores between administrative and health practitioner workers. Also, no limb differences were found in MSEBT reach performance between administrative and health practitioner workers. This similarity in limbs is consistent with previous literature [20,21,22] and provides further support that healthy limbs will perform similarly during MSEBT performance.

Unlike previous research on the MSEBT [23,24,25,26,27], the sample in our study was not restricted to a single sport, disability, or gender. This study contained only male hospital employees. The previous study has found no difference in SEBT or MSEBT scores between genders [28, 29]. The literature consistently suggests that trunk muscle exhaustion has a negative impact on coordination. Helbostad et al [30] reported that the balance and functional task performance are impaired with fatigue.

According to Kibler et al., the body generates the requisite rotational torques around the body and produces extremity motion by activating core muscles [9]. In MSEBT, when the subject stands on the stance leg and reaches for the opposite hand, the rectus abdominis muscles and obliques fire before the action to conduct trunk motion, helping the subject to maintain equilibrium. Furthermore, by supplying assistance to the lumbar spine, the multifidi and transverse abdominis muscles will help to maintain dynamic equilibrium during lower extremity movement [31]. According to [32], the core intensity has a certain connection to dynamic equilibrium and may lead to injury prevention.

Different muscles are used in MSEBT performances to reach in different directions. The hamstrings and quadriceps muscles work in both directions. The vastus lateralis is primarily involved in the posteromedial directions of the non-dominant leg's dynamic [33]. The biceps femoris muscle, on the other hand, works in the posterolateral direction. The MSEBT test was performed for both the dominant and non-dominant legs in our sample. In the dominant leg, statistically significant correlations were observed in the ANT and PM directions. Similarly, research conducted among 15 female athletes and 15 nonathletes reported no significant difference in MSEBT after 20 min whole-body fatigue protocol [34]. The authors also reported that the dominant leg reached a maximum test score than the non-dominant leg.

The two screening tests used in our study were relatively easy to implement in clinical settings and also to identify the risk group. The MSEBT took 4–5 min to complete, while the plank test took 2–3 min. For the past few years, Health professionals have experienced work overload and stress due to the COVID-19 pandemic, and these tests will help identify risk groups for preventive measures. Moreover, Most of the existing research has focused on sports personnel, while our study compares the performance of administrative employees with that of health professionals in hospital fieldwork assessed by the same rater.

In line with the hypothesis, a positive correlation between core muscle strength and dynamic balance was found except for MSEBT PL leg reach distances scores with the plank test among male hospital staff with no significant difference between administrative and health practitioners while performing the MSEBT and plank test. On the contrary, a study conducted among 44 lacrosse players reported no correlation between hip external rotators strength with lower extremity balance scores [17]. Different muscles in the lower limb and trunk may contribute uniquely to the scores on MSEBT. The experiment provides new insight into the relationship between the MSEBT of the right dominant leg and with plank test. Overall, it appears that future research is needed to obtain robust evidence about the unique contribution of a different muscle group to the balance and musculoskeletal disorders among health professionals. Identification of muscle groups significantly contributing to the dynamic lower limb balance may help in developing better strategies to encounter health-related problems in health professionals.


There are several limitations to our study. The sample size is small and the generalisability of the study is limited to health care workers in one hospital. There are more objective tests available for the assessment of dynamic balance and core strength such as biodex and force platforms and digital pressure monitors. Therefore, the accuracy of measurement may be flawed. Only the plank test was used in the study to assess core muscle strength however, there are other more comprehensive tests available to measure the timing and quality of core muscle contraction.


This study reports significant weak to moderate positive correlations between the Plank test of isometric core muscle strength with both the right and dominant of the anterior, posteromedial, and composite score on the MSEBT of the lower limb and also significantly correlation with non-dominant anterior reach. Additionally, no significant difference in core muscle strength or scores on MSEBT was found between the administrative and health practitioner.


Healthcare workers should consider performing targeted core muscle strengthening exercises for individuals with poor plank tests and MSEBT scores. Furthermore, these conclusions may be important in clinical assumptions when considering the injury prediction abilities of both the weak core muscle and poor dynamic balance. Understanding these relationships will help healthcare professionals improve screening and treatment strategies for workplace illnesses and injuries.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Change history



Modified Star Excursion Balance Test


Star Excursion Balance Test




Standard deviation








  1. Wong TS, Teo N, Kyaw M. Prevalence and risk factors associated with low back among health care providers in a District Hospital. Malaysian Orthop J. 2010;4(2):23–8.

    Article  Google Scholar 

  2. Yizengaw MA, Mustofa SY, Ashagrie HE, Zeleke TG. Prevalence and factors associated with work-related musculoskeletal disorder among health care providers working in the operation room. Ann Med Surg. 2021;72:102989.

    Article  Google Scholar 

  3. Landry MD, Raman SR, Sulway C, Golightly YM, Hamdan E. Prevalence and risk factors associated with low back pain among health care providers in a Kuwait hospital. Spine (Phila Pa 1976). 2008;33(5):539–45.

    Article  Google Scholar 

  4. Zemková E, Ďurinová E, Džubera A, Horníková H, Chochol J, Koišová J, et al. The Relationship between Reactive Balance Control and Back and Hamstring Strength in Physiotherapists with Non-Specific Back Pain: Protocol for a Cross-Sectional Study. Int J Environ Res Public Health. 2021;18(11):5578.

    Article  Google Scholar 

  5. Jakobsen MD, Sundstrup E, Brandt M, Jay K, Aagaard P, Andersen LL. Effect of workplace-versus home-based physical exercise on musculoskeletal pain among healthcare workers: a cluster randomized controlled trial. Scand J Work Environ Health. 2015;41(2):153–63.

  6. Bernard BP, Putz-Anderson V. Musculoskeletal disorders and workplace factors; a critical review of epidemiologic evidence for work-related musculoskeletal disorders of the neck, upper extremity, and low back; 1997.

    Google Scholar 

  7. Hodges PW, Richardson CA. Feedforward contraction of transversus abdominis is not influenced by the direction of arm movement. Exp Brain Res. 1997;114(2):362–70.

    CAS  Article  Google Scholar 

  8. Key J. ‘The core’: understanding it, and retraining its dysfunction. J Bodyw Mov Ther. 2013;17(4):541–59.

    Article  Google Scholar 

  9. Ben KW, Press J, Sciascia A. The role of core stability in athletic function. Sports Med. 2006;36(3):189–98.

    Article  Google Scholar 

  10. Silfies SP, Mehta R, Smith SS, Karduna AR. Differences in feedforward trunk muscle activity in subgroups of patients with mechanical low back pain. Arch Phys Med Rehabil. 2009;90(7):1159–69.

    Article  Google Scholar 

  11. Taulaniemi A, Kankaanpää M, Tokola K, Parkkari J, Suni JH. Neuromuscular exercise reduces low back pain intensity and improves physical functioning in nursing duties among female healthcare workers; secondary analysis of a randomised controlled trial. BMC Musculoskelet Disord. 2019;20(1):1–15.

    Article  Google Scholar 

  12. Lederman E. The myth of core stability. J Bodyw Mov Ther. 2010;14(1):84–98.

    Article  Google Scholar 

  13. Bulat M, Can NK, Arslan YZ, Herzog W. Musculoskeletal simulation tools for understanding mechanisms of lower-limb sports injuries. Curr Sports Med Rep. 2019;18(6):210–6.

    Article  Google Scholar 

  14. Gioftsidou A, Malliou P, Pafis G, Beneka A, Tsapralis K, Sofokleous P, et al. Balance training programs for soccer injuries prevention. J Hum Sport Exerc. 2012;7(3):639–47.

    Article  Google Scholar 

  15. Plisky PJ, Gorman PP, Butler RJ, Kiesel KB, Underwood FB, Elkins B. The reliability of an instrumented device for measuring components of the star excursion balance test. North Am J Sport Phys Ther NAJSPT. 2009;4(2):92.

    Google Scholar 

  16. Picot B, Terrier R, Forestier N, Fourchet F, McKeon PO. The Star Excursion Balance Test: An Update Review and Practical Guidelines. Int J Athl Ther Train. 2021;26(6):285–93.

    Article  Google Scholar 

  17. Gordon AT, Ambegaonkar JP, Caswell SV. Relationships between core strength, hip external rotator muscle strength, and star excursion balance test performance in female lacrosse players. Int J Sports Phys Ther. 2013;8(2):97.

    PubMed  PubMed Central  Google Scholar 

  18. Lee J, Jeong K, Lee H, Shin J, Choi J, Kang S, et al. Comparison of three different surface plank exercises on core muscle activity. Phys Ther Rehabil Sci. 2016;5(1):29–33.

    Article  Google Scholar 

  19. Bohannon RW, Steffl M, Glenney SS, Green M, Cashwell L, Prajerova K, et al. The prone bridge test: Performance, validity, and reliability among older and younger adults. J Bodyw Mov Ther. 2018;22(2):385–9.

    Article  Google Scholar 

  20. Thorpe JL, Ebersole KT. Unilateral balance performance in female collegiate soccer athletes. J Strength Cond Res. 2008;22(5):1429–33.

    Article  Google Scholar 

  21. Hertel J, Braham RA, Hale SA, Olmsted-Kramer LC. Simplifying the star excursion balance test: analyses of subjects with and without chronic ankle instability. J Orthop Sport Phys Ther. 2006;36(3):131–7.

    Article  Google Scholar 

  22. Bressel E, Yonker JC, Kras J, Heath EM. Comparison of static and dynamic balance in female collegiate soccer, basketball, and gymnastics athletes. J Athl Train. 2007;42(1):42.

    PubMed  PubMed Central  Google Scholar 

  23. Plisky PJ, Rauh MJ, Kaminski TW, Underwood FB. Star Excursion Balance Test as a predictor of lower extremity injury in high school basketball players. J Orthop Sport Phys Ther. 2006;36(12):911–9.

    Article  Google Scholar 

  24. Butler RJ, Lehr ME, Fink ML, Kiesel KB, Plisky PJ. Dynamic balance performance and noncontact lower extremity injury in college football players: an initial study. Sports Health. 2013;5(5):417–22.

    Article  Google Scholar 

  25. Herrington L, Hatcher J, Hatcher A, McNicholas M. A comparison of Star Excursion Balance Test reach distances between ACL deficient patients and asymptomatic controls. Knee. 2009;16(2):149–52.

    Article  Google Scholar 

  26. Hubbard TJ, Kramer LC, Denegar CR, Hertel J. Correlations among multiple measures of functional and mechanical instability in subjects with chronic ankle instability. J Athl Train. 2007;42(3):361.

    PubMed  PubMed Central  Google Scholar 

  27. Lee D-K, Kim G-M, Ha S-M, Oh J-S. Correlation of the Y-balance test with lower-limb strength of adult women. J Phys Ther Sci. 2014;26(5):641–3.

    Article  Google Scholar 

  28. Gribble PA, Hertel J. Considerations for normalizing measures of the Star Excursion Balance Test. Meas Phys Educ Exerc Sci. 2003;7(2):89–100.

    Article  Google Scholar 

  29. Chimera NJ, Smith CA, Warren M. Injury history, sex, and performance on the functional movement screen and Y balance test. J Athl Train. 2015;50(5):475–85.

    Article  Google Scholar 

  30. Helbostad JL, Sturnieks DL, Menant J, Delbaere K, Lord SR, Pijnappels M. Consequences of lower extremity and trunk muscle fatigue on balance and functional tasks in older people: a systematic literature review. BMC Geriatr. 2010;10(1):1–8.

    Article  Google Scholar 

  31. Kahle NL, Gribble PA. Core stability training in dynamic balance testing among young, healthy adults. Athl Train Sport Heal Care. 2009;1(2):65–73.

    Article  Google Scholar 

  32. Tsukagoshi T, Shima Y, Nakase J, Goshima K, Takahashi R, Aiba T, et al. Relationship between core strength and balance ability in high school female handball and basketball players. Br J Sports Med. 2011;45(4):378.

    Article  Google Scholar 

  33. Erkmen N, Taşkın H, Kaplan T, Sanioǧlu A. The effect of fatiguing exercise on balance performance as measured by the balance error scoring system. Isokinet Exerc Sci. 2009;17(2):121–7.

    Article  Google Scholar 

  34. Baghbani F, Woodhouse LJ, Gaeini AA. Dynamic postural control in female athletes and nonathletes after a whole-body fatigue protocol. J Strength Cond Res. 2016;30(7):1942–7.

    Article  Google Scholar 

Download references


Not applicable


This research received no funding.

Author information

Authors and Affiliations



NA contribution to the concept or design of the article. NA, AA, MS, FZK, DA, and RU acquisition, analysis, or interpretation of data for the article. NA, AA, MS, FZK, DA, and RU drafted the article or revised it critically for important intellectual content. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Faizan Zaffar Kashoo.

Ethics declarations

Ethics approval and consent to participate

Ethical approval was obtained from the Ministry of Health’s Institutional Review Board (H-02-J-002).

Consent for publication

Consent for publication of pictures is obtained from the participants.

Competing interests

The authors declare that they have no competing interests

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original version of this article was revised: the name has been corrected.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Almutairi, N., Alanazi, A., Seyam, M. et al. Relationship between core muscle strength and dynamic balance among hospital staff. Bull Fac Phys Ther 27, 24 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Core muscles strength
  • Dynamic balance
  • Hospital staff