Evidence map›Paper›PMID 36372656›Full record

ArticleSleep health2023

Goldilocks at work: Just the right amount of job demands may be needed for your sleep health.

Monica E Nelson, Soomi Lee, Tammy D Allen, Orfeu M Buxton, David M Almeida, Ross Andel

Open access · hybridAbstract read
In one paragraph

Article in Sleep health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 3 institutions in 2 countries.

Monica E NelsonSchool of Aging Studies, University of South Florida, Tampa, Florida, USA. Electronic address: mnelson10@usf.edu.
Soomi LeeSchool of Aging Studies, University of South Florida, Tampa, Florida, USA.
Tammy D AllenDepartment of Psychology, University of South Florida, Tampa, Florida, USA.
Orfeu M BuxtonDepartment of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA.
David M AlmeidaDepartment of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA.
Ross AndelCenter for Innovation in Healthy and Resilient Aging, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA; Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.
University of South Florida · USPennsylvania State University · USCharles University · CZ

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
Integrative Pathways to Cognitive, Affective, and Brain HealthU01AG077928 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson, MARGIE E LACHMAN · 2022 to 2026
$17.7M
Business and regulatory development for Integrating sleep enhancement technology into clinical practiceR44AG056250 · NIA · PROACTIVE LIFE, INC. · PI GARTENBERG, DANIEL · 2020 to 2022
$2.5M
Non-pharmacological improvement of sleep structure in older peopleR43AG056250 · NIA · MOBILE SLEEP TECHNOLOGIES, LLC · PI GARTENBERG, DANIEL, GERASHCHENKO, DMITRY · 2017 to 2018
$696k
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
NIA NIH HHS R43 AG056250NIA NIH HHS R44 AG056250NIA NIH HHS R56 AG065251NIA NIH HHS U01 AG077928NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

objectivesIt has been reported that job demands affect sleep, but how different levels of job demands affect sleep remains unclear. We examined whether curvilinear relationships exist between job demands and multiple sleep health outcomes.

designCross-sectional analyses with linear and quadratic effects, using self-administered survey data.

settingA national sample of US adults.

participantsWorkers from Midlife in the United States Study (MIDUS2; n = 2927). MEASUREMENTS: The Job Content Questionnaire assessed overall and 5 specific aspects of job demands (intensity, role conflict, work overload, time pressure, and interruptions). Habitual sleep health patterns across 5 dimensions (regularity, satisfaction/quality, daytime alertness, efficiency, and duration) were assessed. Age, sex, race/ethnicity, marital/partnered status, education, job tenure, work hours, body mass index, smoking status, and study sample were covariates.

resultsThere were significant linear and quadratic relationships between job demands and sleep outcomes. Specifically, the linear effects indicated that participants with higher job demands had worse sleep health, such as shorter duration, greater irregularity, greater inefficiency, and more sleep dissatisfaction. The quadratic effects, however, indicated that sleep regularity and efficiency outcomes were the best when participants' job demands were moderate rather than too low or too high. These effects were found for overall job demands as well as for specific aspects of job demands. Stratified analyses further revealed that these curvilinear associations were mainly driven by participants with low job control.

conclusionsModerate levels of job demands, especially if combined with adequate job control, are related to optimal sleep health.

Indexed as

SleepStress, PsychologicalAdultCross-Sectional StudiesHumansSmokingSurveys and QuestionnairesUnited StatesJob controlJob demandsJob strainMIDUSNon-linear relationshipsSleep

Identifiers

PMID36372656
PMCPMC9991992
OpenAlexW4308887119

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.