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

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.