10,935 responses from 1,215 respondents to 9 items.
One of 3 tables from the same source; this one measures Musculoskeletal symptoms. The others are listed under Related tables.
| Description | Nordic Musculoskeletal Questionnaire: presence of symptoms in 9 body regions (yes/no), 1,215 Peruvian adults. |
|---|---|
| Reference | Figueroa-Quiñones, J., Fernandini-Valenzuela, Cordova-Gutierrez, Vargas-Prado, & Aquije-Cardenas (2026). Psychometric properties of the Peruvian version of the Nordic Musculoskeletal Questionnaire (NMQ). BMC Musculoskeletal Disorders. https://doi.org/10.1186/s12891-026-10426-7 |
| DOI | 10.1186/s12891-026-10426-7 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/20431627 |
| Responses | 10,935 |
|---|---|
| Respondents | 1,215 |
| Items | 9 |
| Response categories | 2 |
| Responses per respondent | 9 |
| Responses per item | 1,215 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Musculoskeletal symptoms |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, figueroaquinones_2026_nmq.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | AGE |
cov_sex | Covariate | SEX |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("figueroaquinones_2026_nmq")
# Python
pip install irw
import irw
df = irw.fetch("figueroaquinones_2026_nmq")
@article{Figueroa_Qui_ones_2026, title={Psychometric properties of the Peruvian version of the Nordic Musculoskeletal Questionnaire (NMQ)}, ISSN={1471-2474}, url={http://dx.doi.org/10.1186/s12891-026-10426-7}, DOI={10.1186/s12891-026-10426-7}, journal={BMC Musculoskeletal Disorders}, publisher={Springer Science and Business Media LLC}, author={Figueroa-Quiñones, Joel and Fernandini-Valenzuela, Khristel and Cordova-Gutierrez, Marco and Vargas-Prado, Kelly Fara and Aquije-Cardenas, Giorgio}, year={2026}, month=Aug }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |