Comparison Of Isometric Hand Grip Strength Among Computer Users and Non- Computer Users and Its Relation with The Incidence of Neck Pain. A Correlational Study
Abstract
This study explores the comparison of isometric hand grip strength among computer and non- computer users and its relation with the incidence of neck pain.
Background: The use of computers in modern world has made digital environment more accessible. As a result, a large portion of the global population devotes extended periods of time to using computers daily. However, while this widespread adoption of computer technology facilitates various tasks, it has also led to diverse health concerns, especially musculoskeletal disorders. Prolonged and repetitive use of computers, often involving prolonged periods of typing, mouse manipulation, and other fine motor tasks, has raised questions about its potential impact on hand grip strength—a key indicator of upper extremity musculature function Individuals with higher hand grip strength may have relatively better muscle strength and muscle endurance than people with lower higher hand grip strength, which may lower the chances of getting musculoskeletal disorders, including neck pain.
Study Design: A Correlational study
Aim: To identify the comparison of isometric hand grip strength in relation to neck pain among computer and non- computer users.
Objective: To evaluate isometric hand grip strength in relation to neck pain among computer and non- computer users.
Participants: The participants were recruited based on exclusion and inclusion criteria. A total of 70 participants were included in the study.
Method: A correlational study design was conducted on 70 patients from housing societies, like Parsvanatha regalia, Ghaziabad, Vidyamandir classes Delhi. The total sample was randomly divided into two groups, Camry hand dynamometer and neck disability index were used.
Result: In this study both the groups exhibited a negative correlation with each other, when grip strength decreases the neck pain increases, and vice versa. The standard error, which shows how much the sample mean might differ from the true average, was 1.61 for the dynamometer and 0.916 for the NDI. The standard deviation, which measures how spread out the data is, was 9.55 for the dynamometer and 5.417 for the NDI, meaning the dynamometer results were more spread out than the NDI scores. Lastly, the sample variance, another measure of data spread, was 91.26 for the dynamometer and 29.341 for the NDI, supporting the observation that the dynamometer data had greater variability.
Conclusion: This research substantiates the profound connection linking grip strength with neck disability in a manner where individuals with greater grip strength are more likely to have lower neck disability and pain. The statistical negative relationship seen in participants who engaged in computer usage as well as those who did not, reflects the possibility of using hand strength as a non-invasive indicator of skeleton health across diverse groups. There is good evidence in this study to suggest that grip strength may be a viable measure in clinical or preventative applications.
References
2. Thomas R. Hales MD, Bruce P. Bernard MD, MPH. Epidemiology of Work-Related Musculoskeletal Disorders. Vol.1.(1996).
3. Li Huang, Yadong Liu, Taiping Lin, Lisha Hou, Quhong Song, Ning Ge & Jirong Yue. Reliability and validity of two hand dynamometers when used by community-dwelling adults aged over 50 years. Vol.12 (2022)
4. Waersted, M., Hanvold, T. N., & Veiersted, K. B.Computer work and musculoskeletal disorders of the neck and upper extremity: a systematic review. BMC Musculoskeletal Disorders, Vol.11(1) (2010)
5. Ariens, G. A., van Mechelen, W., Bongers, P. M., Bouter, L. M., & van der Wal, G. Physical risk factors for neck pain. Scandinavian Journal of Work, Environment & Health, vol.26(1),(2000)
6. Szeto, G. P., Straker, L. M., & O'Sullivan, P. B. A comparison of symptomatic and asymptomatic office workers performing monotonous keyboard work: Neck and shoulder kinematics. Manual Therapy, vol.7(6) (2002)
7. Bohannon, R. W. Muscle strength: Clinical and prognostic value of hand-grip dynamometry. Current Opinion in Clinical Nutrition and Metabolic Care, vol.18(5), (2015).
8. Misailidou V, Malliou P, Beneka A, Karagiannidis A, Godolias G. Assessment of patients with neck pain: a review of definitions, selection criteria, and measurement tools; Journal of Chiropractic Medicine. vol. 9(2) (2010)
9. Childs MJ, Fritz JM, Piva SR, Whitman JM. Proposal of a classification system for patients with neck pain. Journal of Orthopaedic & Sports Physical Therapy. vol.34(11) (2011).
10. Kazeminasab, S., Nejadghaderi, S.A., Amiri, P., Pourfathi, H., Araj-Khodaei, M., Sullman, M.J.M., Kolahi, A.-A. and Safiri, S. Neck pain: global epidemiology, trends and risk factors. BMC Musculoskeletal Disorders, vol. 23 (2022).
11. Blanpied, P.R., Gross, A.R., Elliott, J.M., Devaney, L.L., Clewley, D., Walton, D.M., Sparks, C. and Robertson, E.K. Neck Pain: Revision 2017. Journal of Orthopaedic & Sports Physical Therapy, vol. 47(7) (2017)
12. Horn, M.E., Brennan, G.P., George, S.Z., Harman, J.S. and Bishop, M.D. Description of Common Clinical Presentations and Associated Short-Term Physical Therapy Clinical Outcomes in Patients With Neck Pain. Archives of Physical Medicine and Rehabilitation, vol. 96 (2015).
13. Leaver, A.M., Maher, C.G., McAuley, J.H., Jull, G.A. and Refshauge, K.M.R. Characteristics of a new episode of neck pain. Manual Therapy, vol. 18 (2013).
14. Brandt, T. and Huppert, D. A new type of cervical vertigo: Head motion–induced spells in acute neck pain. Neurology. Vol. 86(2013)
15. Farrell, S.F., Edmunds, D., Fletcher, J., Martine, H., Mohamed, H., Liimatainen, J. and Sterling, M.. Effectiveness of psychological interventions delivered by physiotherapists in the management of neck pain: vol. 8 (2023