Data and Code for the Analysis of the Relationship Between Physical Activity and Musculoskeletal Pain in University Staff

This repository contains the dataset and R script used for the statistical analysis in the study investigating the association between physical activity and musculoskeletal pain in university staff during the COVID-19 pandemic. The files include: Dataset (banco_dor_covid_atividade_fisica.xlsx): Contains sociodemographic variables and musculoskeletal pain reports from study participants. R Script (Script_dor_covid19_atividade_fisica.R): Performs descriptive statistics, logistic regression, and Cronbach’s Alpha calculation with confidence intervals using the bootstrap method. This study aims to evaluate the impact of physical activity on musculoskeletal pain incidence using robust statistical methods. The associated scientific article is currently under peer review and will be added to this repository once published. Authors: Thayse Justino Montenegro Falcão Cyro Rego Cabral Junior (corresponding author - [e-mail]) Marilande Vitória Dias Rapôso Maria do Socorro Meneses Dantas Affiliation: Federal University of Alagoas (UFAL) Keywords: physical activity, musculoskeletal pain, COVID-19, statistical analysis, logistic regression, Cronbach’s Alpha, RStudio. License: Creative Commons Attribution 4.0 International (CC-BY 4.0)