About this table

Description	Athens Insomnia Scale (Japanese version), 8 items scored 0-3, from adults aged 65+ living in temporary housing or relocated after the 2016 Kumamoto earthquake; covariates include demographics, housing, lifestyle and sources of social support.
Reference	Kanamori, Y., Samiso, T., & Ide-Okochi, A. (2026). Examination of factors affecting insomnia in older victims of the Kumamoto earthquake. PeerJ, 14, e20584.
DOI	10.7717/peerj.20584
Licence	CC BY 4.0
Source data	https://europepmc.org/article/PMC/PMC12810385

Size and shape

Responses	36,721
Respondents	4,707
Items	8
Response categories	4
Responses per respondent	7.801
Responses per item	4590.125
Density	0.975
Longitudinal	FALSE

Classification

measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	jpn

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kanamori_2026_ais.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).	`No.`
`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_appetite`	Covariate	`Appetite`
`cov_cohabitant`	Covariate	`Cohabitant`
`cov_community_participation`	Covariate	`Community\nparticipation`
`cov_current_residence`	Covariate	`current \nresidence`
`cov_exercise_habit`	Covariate	`exercise\nhabits`
`cov_male`	Covariate	`Gender`
`cov_meal_partner`	Covariate	`Meal partner`
`cov_relocation_scope`	Covariate	`Scope of \nrelocation`
`cov_ss_city_office`	Covariate	`SS\n(City office)`
`cov_ss_coworker`	Covariate	`SS\n(Coworker)`
`cov_ss_family`	Covariate	`SS\n(Family)`
`cov_ss_friend`	Covariate	`SS\n(Friend)`
`cov_ss_hospital`	Covariate	`SS\n(Hospital)`
`cov_ss_neighbors`	Covariate	`SS\n(Neighbors)`
`cov_ss_none`	Covariate	`SS\n(anyone)`
`cov_ss_nursing_office`	Covariate	`SS\n(Nursing care\noffice )`
`cov_ss_other`	Covariate	`SS\n(Other)`
`cov_ss_welfare_commissioner`	Covariate	`SS\n(District welfare \ncommissioners)`
`cov_temporary_housing`	Covariate	`temporary\nhousing`
`cov_three_meals`	Covariate	`Eat three\nmeals a day`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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("kanamori_2026_ais")

# Python
pip install irw

import irw
df = irw.fetch("kanamori_2026_ais")

How to cite

@article{Kanamori_2026, title={Examination of factors affecting insomnia in older victims of the Kumamoto earthquake}, volume={14}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.20584}, DOI={10.7717/peerj.20584}, journal={PeerJ}, publisher={PeerJ}, author={Kanamori, Yumie and Samiso, Tomonori and Ide-Okochi, Ayako}, year={2026}, month=Jan, pages={e20584} }

Version and provenance

IRW version	v566
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 v43.0