DOI QR코드

DOI QR Code

Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions

  • Abdolahi, Fateme H. (Occupational Health Engineering, Faculty of Health, Student Research Committee, Qazvin University of Medical Sciences) ;
  • Variani, Ali S. (Department of Occupational Health Engineering, Faculty of Health, Qazvin University of Medical Sciences) ;
  • Varmazyar, Sakineh (Department of Occupational Health Engineering, Social Determinants Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Faculty of Health, Qazvin University of Medical Sciences)
  • Received : 2021.02.19
  • Accepted : 2021.07.14
  • Published : 2021.12.30

Abstract

Background: Difficulties in walking and balance are risk factors for falling. This study aimed to predict dynamic balance based on demographic information and anthropometric dimensions in construction workers. Methods: This descriptive-analytical study was conducted on 114 construction workers in 2020. First, the construction workers were asked to complete the demographic questionnaire determined in order to be included in the study. Then anthropometric dimensions were measured. The dynamic balance of participants was also assessed using the Y Balance test kit. Dynamic balance prediction was performed based on demographic information and anthropometric dimensions using multiple linear regression with SPSS software version 25. Results: The highest average normalized reach distances of YBT were in the anterior direction and were 92.23 ± 12.43% and 92.28 ± 9.26% for right and left foot, respectively. Both maximal and average normalized composite reach in the YBT in each leg were negatively correlated with leg length and navicular drop and positively correlated with the ratio of sitting height to leg length. In addition, multiple linear regressions showed that age, navicular drop, leg length, and foot surface could predict 23% of the variance in YBT average normalized composite reach of the right leg, and age, navicular drop, and leg length could predict 21% of that in the left leg among construction workers. Conclusion: Approximately one-fifth of the variability in the normalized composite reach of dynamic balance reach among construction workers using method YBT can be predicted by variables age, navicular drop, leg length, and foot surface.

Keywords

Acknowledgement

The authors would like to express their gratitude to Technical and Civil Deputy of Qazvin Municipality for their generous financial support and sincere cooperation in the data collection process. It should be noted that this article is taken from the thesis approved by the Research Assistant of Qazvin University of Medical Sciences under IR.QUMS.REC.1398.062.

References

  1. Mihic M. Classification of construction hazards for a universal hazard identification methodology. J Civil Eng Manage 2020;26(2):147-59. https://doi.org/10.3846/jcem.2020.11932.
  2. Lette A, Ambelu A, Getahun T, Mekonen S. A survey of work-related injuries among building construction workers in southwestern Ethiopia. Int J Ind Ergon 2018;68:57-64. https://doi.org/10.1016/j.ergon.2018.06.010.
  3. Sadeghi H, Mohandes SR, Hosseini MR, Banihashemi S, Mahdiyar A, Abdullah A. Developing an ensemble predictive safety risk assessment model: case of Malaysian construction projects. Int J Environ Res Publ Health 2020;17(22):8395. https://doi.org/10.3390/ijerph17228395.
  4. Yang K, Jebelli H, Ahn C, Vuran M. Threshold-based approach to detect nearmiss falls of iron workers using inertial measurement units. Comput Civil Eng 2015;2015:148-55. https://doi.org/10.1061/9780784479247.019.
  5. Alomari K, Gambatese J, Nnaji C, Tymvios N. Impact of risk factors on construction worker safety: a delphi rating study based on field worker perspective. Arab J Sci Eng 2020;45(10):8041-80451.. https://10.1007/s13369-020-04591-7.
  6. Sanni-Anibire MO, Mahmoud AS, Hassanain MA, Salami BA. A risk assessment approach for enhancing construction safety performance. Saf Sci 2020;121: 15-29. https://doi.org/10.1016/j.ssci.2019.08.044.
  7. Cuevas-Trisan R. Balance problems and fall risks in the elderly. Phys Med Rehabil Clin N Am 2017;28(4):727-37. https://doi.org/10.1016/j.pmr.2017.06.006.
  8. National S, Conditioning A, Miller T. In: Edition F, editor. NSCA's guide to tests and assessments. Champaign, IL: Human Kinetics; 2012.
  9. Antwi-Afari MF, Li H. Fall risk assessment of construction workers based on biomechanical gait stability parameters using wearable insole pressure system. Adv Eng Inform 2018;38:683-94. https://doi.org/10.1016/j.aei.2018.10.002.
  10. Antwi-Afari MF, Li H, Seo J, Wong AYL. Automated detection and classification of construction workers' loss of balance events using wearable insole pressure sensors. Autom Constr 2018;96:189-99. https://doi.org/10.1016/j.autcon.2018.09.010.
  11. Alonso AC, Luna NMS, Mochizuki L, Barbieri F, Santos S, Greve JMDA. The influence of anthropometric factors on postural balance: the relationship between body composition and posturographic measurements in young adults. Clinics 2012;67(12):1433-14341. https://doi.org/10.6061/clinics/2012(12)14.
  12. Ferreira BA, Benetti FA, Luna NM, Brech GC, Bocalini DS, Maifrino LBM, et al. Anthropometric factors and body composition and their relationship with dynamic balance tests. Rev Bras Med 2020;26(5):401-5. https://doi.org/10.1590/1517-869220202605190218.
  13. Nakallio AP. Balance abilities of work ers in physically demanding jobs. University of Kuopio; 2004.
  14. Moein E, Movaseghi F. Relationship between some anthropometric indices with dynamic and static balance in sedentary female college students. Turk J Sport Exerc 2016;18(1):45-9. https://doi.org/10.15314/tjse.65406.
  15. Meyvaci SS, Meyvaci T, Kosif R, Diramali M, Ankarali H. Effect of foot anthropometric measurements on postural stability. Exp Biomed Res 2020;3(3):176-90. https://doi.org/10.30714/j-ebr.2020361056.
  16. Lencioni TCI, Rabuffetti M, Cattaneo D, Ferrarin M. Measures of dynamic balance during level walking in healthy adult subjects: relationship with age, anthropometry and spatio-temporal gait parameters. Proc Inst Mech Eng H 2020;234(2):131-40. https://doi.org/10.1177/0954411919889237.
  17. Liu K, Glutting J, Wikstrom E, Gustavsen G, Royer T, Kaminski TW. Examining the diagnostic accuracy of dynamic postural stability measures in differentiating among ankle instability status. Clin Biomech 2013;28(2):211-7. https://doi.org/10.1016/j.clinbiomech.2012.11.003.
  18. Gribble PA, Hertel J, Plisky P. Using the Star Excursion Balance Test to assess dynamic postural-control deficits and outcomes in lower extremity injury: a literature and systematic review. J Athl Train 2012;47(3):339-57. https://doi.org/10.4085/1062-6050-47.3.08.
  19. Powden CJ, Dodds TK, Gabriel EH. The reliability of the star excursion balance test and lower quarter Y-balance test in healthy adults: a systematic review. Int J Sports Phys Ther 2019;14(5):683. https://doi.org/10.26603/ijspt20190683.
  20. Gabriel EH, Powden CJ, Hoch MC. Comparison of the Y-balance test and star excursion balance test: utilization of a discrete event simulation. J Sport Rehabil 2020;1(aop):1-6.
  21. Umar T, Egbu C, Honnurvali MS, Saidani M, Al-Mutairi M. An assessment of health profile and body pain among construction workers. Proc Inst Civil Engineers - Municipal Engineer 2020;173(3):125-35. https://doi.org/10.1680/jmuen.18.00019.
  22. Yu C-Y, Tu H-H. Foot surface area database and estimation formula. Appl Ergon 2009;40(4):767-74. https://doi.org/10.1016/j.apergo.2008.08.004.
  23. Preedy VR. Handbook of anthropometry: physical measures of human form in health and disease. 2012th ed. Springer Science & Business Media; 2012. 3107 p.
  24. Pheasant S, Haslegrave CM. Bodyspace: anthropometry, ergonomics and the design of work. CRC press; 2005.
  25. Razeghi M, Batt ME. Foot type classification: a critical review of current methods. Gait Posture 2002;15(3):282-91. https://doi.org/10.1016/S0966-6362(01)00151-5.
  26. Zuil-Escobar JC, Martinez-Cepa CB, Martin-Urrialde JA, Gomez-Conesa A. Medial longitudinal arch: accuracy, reliability, and correlation between navicular drop test and footprint parameters. J Manipulat Physiol Ther 2018;41(8):672-9. https://doi.org/10.1016/j.jmpt.2018.04.001.
  27. Nakagawa TH, dos Santos AF, Lessi GC, Petersen RS, Silva RS. Y-balance test asymmetry and frontal plane knee projection angle during single-leg squat as predictors of patellofemoral pain in male military recruits. Phys Ther Sport 2020. https://doi.org/10.1016/j.ptsp.2020.05.011.
  28. Coughlan GF, Fullam K, Delahunt E, Gissane C, Caulfield BM. A comparison between performance on selected directions of the star excursion balance test and the Y balance test. J Athl Train 2012;47(4):366-71. https://doi.org/10.4085/1062-6050-47.4.03.
  29. Lai WC, Wang D, Chen JB, Vail J, Rugg CM, Hame SL. Lower quarter Y-balance test scores and lower extremity injury in NCAA division I athletes. Orthop J Sports Med 2017;5(8). https://doi.org/10.1177/2325967117723666.2325967117723666.
  30. Alnahdi AH, Alderaa AA, Aldali AZ, Alsobayel H. Reference values for the Y Balance Test and the lower extremity functional scale in young healthy adults. J Phys Ther Sci 2015;27(12):3917-39121. https://doi.org/10.1589/jpts.27.3917.
  31. Philp F, Telford C, Reid D, McCluskey M. Normative performance values of modified star excursion balance test and limb symmetry in female adolescent footballers. Transl Sports Med 2020;3(4):328-36. https://doi.org/10.1002/tsm2.146.
  32. Teo T. Handbook of quantitative methods for educational research. Springer Science & Business Media; 2014.
  33. Robertson M, Gregory R. Effect of age on dynamic walking balance in a healthy population between the ages of 20 and 80 years. Phys Ther Rehabil 2018;5(1):13. https://doi.org/10.7243/2055-2386-5-13.
  34. Norheim KL, Samani A, Bonlokke JH, Omland O,Madeleine P. On the role of ageing and musculoskeletal pain on dynamic balance in manual workers. J Electromyogr Kinesiol 2020;50:102374. https://doi.org/10.1016/j.jelekin.2019.102374.
  35. King GW, Abreu EL, Cheng A-L, Chertoff KK, Brotto L, Kelly PJ, et al. A multimodal assessment of balance in elderly and young adults. Oncotarget 2016;7(12):13297-1329306. https://doi.org/10.18632/oncotarget.7758.
  36. Antwi-Afari MF, Li H, Edwards DJ, Parn EA, Seo J, Wong A. Effects of different weights and lifting postures on balance control following repetitive lifting tasks in construction workers. Int J Build Pathol Adapt 2017. https://doi.org/10.1108/IJBPA-05-2017-0025.
  37. Greve JMDA, Cug M, Dulgero glu D, Brech GC, Alonso AC. Relationship between anthropometric factors, gender, and balance under unstable conditions in young adults. Biomed Res Int 2013. https://doi.org/10.1155/2013/850424. 2013.
  38. Kejonen P, Kauranen K, Vanharanta H. The relationship between anthropometric factors and body-balancing movements in postural balance. Arch Phys Med Rehabil 2003;84(1):17-22. https://doi.org/10.1053/apmr.2003.50058.
  39. Neji Z, Attia A, Negra Y, Sammoud S, Khemiri A, Petrova LG, et al. Lower Quarter Y Balance Test: reliability and relation to anthropometric parameters. J Phys Educ Sport 2020;20(5):2620-7. https://doi.org/10.7752/jpes.2020.05357.
  40. Tabrizi HB, Abbasi A, Sarvestani HJ. Comparing the static and dynamic balances and their relationship with the anthropometrical characteristics in the athletes of selected sports. Middle East J Sci Res 2013;15(2):216-21. https://doi.org/10.5829/idosi.mejsr.2013.15.2.7426.
  41. Meng H, O'Connor DP, Lee B-C, Layne CS, Gorniak SL. Alterations in over-ground walking patterns in obese and overweight adults. Gait Posture 2017;53:145-50. https://doi.org/10.1016/j.gaitpost.2017.01.019.
  42. Blaszczyk JW, Cieslinska-Swider J, Plewa M, Zahorska-Markiewicz B, Markiewicz A. Effects of excessive body weight on postural control. J Biomech 2009;42(9):1295-12300. https://doi.org/10.1016/j.jbiomech.2009.03.006.
  43. Hue O, Simoneau M, Marcotte J, Berrigan F, Dore J, Marceau P, et al. Body weight is a strong predictor of postural stability. Gait Posture 2007;26(1):32-8. https://doi.org/10.1016/j.gaitpost.2006.07.005.
  44. Dutil M, Handrigan GA, Corbeil P, Cantin V, Simoneau M, Teasdale N, et al. The impact of obesity on balance control in community-dwelling older women. Age 2013;35(3):883-90. https://doi.org/10.1007/s11357-012-9386-x.
  45. Rezaeipour M, Apanasenko GL. Effects of overweight and obesity on postural stability of aging females. Middle East J Rehabil Health 2018;5(4). https://doi.org/10.5812/mejrh.81617.
  46. Gribble P. The star excursion balance test as a measurement tool. Athletic Ther Today 2003;8(2):46-7. https://doi.org/10.1123/att.8.2.46
  47. Irez GB. The relationship with balance, foot posture, and foot size in school of Physical Education and Sports Students. Educ Res Rev 2014;9(16):551-4. https://doi.org/10.5897/ERR2014.1790.
  48. Birinci T, Demirbas SB. Relationship between the mobility of medial longitudinal arch and postural control. Acta Orthop Traumatol Turc 2017;51(3):233-7. https://doi.org/10.1016/j.aott.2016.11.004.
  49. Alonso AC, Peterson M, Duganieri MR, Garcez-Leme LE, Mochizuki L, Bocalini DS, et al. The effects of foot morphology and anthropometry on unipodal postural control. Motriz 2016;22(1):94-8. https://doi.org/10.1590/S1980-65742016000100013.
  50. Kodithuwakku Arachchige SNK, Chander H, Knight A. Flatfeet: biomechanical implications, assessment and management. Foot 2019;38:81-5. https://doi.org/10.1016/j.foot.2019.02.004.
  51. Kim J-a, Lim O-b, Yi C-h. Difference in static and dynamic stability between flexible flatfeet and neutral feet. Gait Posture 2015;41(2):546-50. https://doi.org/10.1016/j.gaitpost.2014.12.012.