Evidence map›Paper›PMID 41808846›Full record

ArticleData2025

Increasing the Usability of the American Time Use Survey: IPUMS ATUS.

Kari C W Williams, Sarah M Flood, Liana C Sayer, Julia A Rivera Drew

Abstract read
In one paragraph

Article in Data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kari C W WilliamsIPUMS Center for Data Integration, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0009-0001-3794-3163
Sarah M FloodIPUMS Center for Data Integration, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-8507-425X
Liana C SayerMaryland Time Use Laboratory, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0002-5755-4579
Julia A Rivera DrewIPUMS Center for Data Integration, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-7278-9798

Funding

Time Use Data for Health and Well-BeingR01HD053654 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Sarah M Flood, Liana C Sayer · 2006 to 2026
$11.5M
Integrating, Preserving, and Disseminating Linked CPS DataR01HD067258 · NICHD · UNIVERSITY OF MINNESOTA · PI Julia AR Drew, Sarah M Flood · 2011 to 2026
$10.0M
NICHD NIH HHS R01 HD053654NICHD NIH HHS R01 HD067258
6 · The paper itself

Abstract

This paper describes IPUMS ATUS, which simplifies the use of time diary data by disseminating a harmonized and enhanced version of the American Time Use Survey (ATUS). The ATUS time diary data capture the detailed activities over a 24 h period for thousands of respondents along with their sociodemographic characteristics. The ability to measure, at a population level, how people spend their time provides nearly endless possibilities for examining questions that hinge on understanding human behavior. The flexible data format can be used to estimate time use as captured by stylized survey questions (e.g., sleep duration, work hours), but it also allows for the study of activity sequencing and the context of time use (e.g., where it happens, who else is present). However, wrangling the complex, hierarchical record structure of the data requires advanced programming skills. To address these challenges, IPUMS ATUS harmonizes the ATUS data and provides customization tools that allow researchers to (i) combine data from multiple original ATUS files and (ii) easily create and save custom variables that summarize time use utilizing the full array of contextual information spread across the complex record structure of the ATUS.

Indexed as

data accessdata infrastructureharmonizationIPUMStime use

Identifiers

PMID41808846
PMCPMC12971072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.