datasets describing effect of isometric and stretching exercises on neck pain

Published: 24 March 2023| Version 1 | DOI: 10.17632/6fnbvcnj4t.1
shaimaa ghandor,


Research Hypothesis H1: There would be a lack of IT employees' knowledge about the importance of good neck posture, isometric and stretching exercises. H2: Isometric and stretching exercises would be a good effect on improving neck pain Background: Neck pain is one of the most common musculoskeletal complaints among men and women specifically those working on a computer. Aim to evaluate the effect of an educational program about isometric and stretching exercises on neck pain among Information Technology employees at new Assuit city. Method and material: Quasi-experimental research design and a single population proportion formula to calculate sample size required for the study through using Open Epi, Version 3. Total final size 118 employee and the program was implemented on (73) employees having neck pain according exclusion criteria. Period of collecting data was from the mid of April 2021 to mid of December 2021. Three tools were used, a tool I: A structured questionnaire which consisted of three parts: 1st part: socio-demographic data, 2nd part: assessment of the nature of the work, and 3rd part: assessment of knowledge of employees. Tool (II): Neck Pain Questionnaire(NPQ) was used to evaluate the degree of neck pain and functional disability, tool (III): observational checklist. Data entry and data analysis were done using SPSS version 22 (Statistical Package for Social Science) (SPSS Inc., Chicago, II., USA). Data were presented as number, percentage, mean, standard deviation, median and range. Chi-square test was used to compare qualitative variables. In case of parametric data, Paired samples t-test was done to compare quantitative data between pre-test and post-test. Pearson correlation was done to measure correlation between quantitative variables. While in case of non-parametric data, Wilcoxon Signed Rank Test was done to compare quantitative variables between pre-test and post-test. P-value considered statistically significant when P < 0.05.



Community Health Nursing