kohlmann_2016_phq9

11,909 responses from 1,337 respondents to 9 items.

About this table

DescriptionPHQ-9 depressive symptoms over the past two weeks, 9 items scored 0 (not at all) to 3 (nearly every day), patients with clinically confirmed coronary heart disease recruited consecutively at three cardiology sites in Hamburg, Germany. 11,909 responses from 1,337 respondents on 9 items.
ReferenceKohlmann, S.; Gierk, B.; Murray, A. M.; Scholl, A.; Lehmann, M.; Lowe, B. (2016). Base Rates of Depressive Symptoms in Patients with Coronary Heart Disease: An Individual Symptom Analysis. PLOS ONE, 11(5), e0156167. https://doi.org/10.1371/journal.pone.0156167
DOI10.1371/journal.pone.0156167
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0156167

Size and shape

Responses11,909
Respondents1,337
Items9
Response categories4
Responses per respondent8.907
Responses per item1323.222
Density0.990
LongitudinalFALSE

Columns

cov_agecov_bypasscov_ccs_angina_classcov_diabetescov_dyslipidemiacov_education_levelcov_employedcov_eq5d_indexcov_family_historycov_gendercov_hypertensioncov_infarctcov_nyha_classcov_obesitycov_settingcov_smokingiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kohlmann_2016_phq9")
# Python
pip install irw

import irw
df = irw.fetch("kohlmann_2016_phq9")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_5 v4.0
Redivis dataset DOI10.57761/yvjw-0981
Manifest pin for this IRW versionv4.0
Metadata sourceirw_meta v23.0