Evidence map›Paper›PMID 39699627›Full record

ArticleJournal of occupational health psychology2024

Designing work for healthy sleep: A multidimensional, latent transition approach to employee sleep health.

Claire E Smith, Soomi Lee, Tammy D Allen, Meredith L Wallace, Ross Andel, Orfeu M Buxton, Sanjay R Patel, David M Almeida

Abstract read
In one paragraph

Article in Journal of occupational health psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Claire E SmithDepartment of Psychology, University of South Florida.ORCID 0000-0003-1820-862X
Soomi LeeHuman Development and Family Studies, Pennsylvania State University.
Tammy D AllenDepartment of Psychology, University of South Florida.
Meredith L WallaceDepartment of Psychiatry, University of Pittsburgh.
Ross AndelEdson College of Nursing and Health Innovation, Arizona State University.
Orfeu M BuxtonDepartment of Biobehavioral Health, Pennsylvania State University.
Sanjay R PatelSchool of Medicine, University of Pittsburgh.
David M AlmeidaHuman Development and Family Studies, Pennsylvania State University.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Sleep, Pain, Active Social Life, and Inflammation (SPAI)R01HL163226 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI LYNN M. MARTIRE · 2023 to 2026
$2.1M
Sleep Health Profiles Predicting Impaired Cognition and Depressive Symptoms in Older Adults: Extending Novel Statistical Methods in Multi-Cohort ApplicationsRF1AG056331 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WALLACE, MEREDITH JOANNE LOTZ · 2021 to 2021
$2.0M
Sleep Health Profiles in Middle-aged Workers in Relation to Cardiovascular and Cognitive HealthR56AG065251 · NIA · UNIVERSITY OF SOUTH FLORIDA · PI LEE, SOOMI · 2020 to 2020
$412k
National Institute on Aging; National Institute of HealthNHLBI NIH HHS R01 HL163226NIA NIH HHS P01 AG020166NIA NIH HHS R56 AG065251NIA NIH HHS RF1 AG056331NIA NIH HHS U19 AG051426NIOSH CDC HHS T42 OH008438
6 · The paper itself

Abstract

Healthy sleep is essential to employee well-being and productivity, but many modern workers do not obtain adequate sleep. Are technology-related changes to job design (i.e., computer use, sedentary work, nontraditional work schedules) related to long-term worsening of employee sleep health? The present study seeks to address this question using nationally representative data from the Midlife in the United States study, which includes detailed information on sleep duration, regularity, sleep onset latency, insomnia symptoms, napping, and daytime tiredness from full-time workers (N = 1,297) at two time points separated by approximately 10 years. Using latent transition analysis to consider how these sleep health dimensions co-occur, we identify three multidimensional sleep health phenotypes at both time points: good sleepers, catch-up sleepers, and insomnia sleepers. Sedentary work is linked to the insomnia sleeper phenotype. Nontraditional work schedules are linked to the catch-up sleeper phenotype. These findings test assumptions of modern models of job design regarding the impact of technology on employee sleep health and advance measurement of sleep health in the organizational sciences to be multidimensional and dynamic. Further, results point to specific sleep needs in the working adult population and identify potential points of intervention via job design. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

Sleep Initiation and Maintenance DisordersAdultFemaleHumansJob DescriptionMaleMiddle AgedOccupational HealthSedentary BehaviorSleepSurveys and QuestionnairesUnited StatesWork Schedule Tolerance

Identifiers

PMID39699627
PMCPMC12419033

What OpenQuestion holds

Textmetadata
LicenceTDM
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.