Evidence map›Paper›PMID 29458700›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2018

Sleep Health and Predicted Cardiometabolic Risk Scores in Employed Adults From Two Industries.

Orfeu M Buxton, Soomi Lee, Miguel Marino, Chloe Beverly, David M Almeida, Lisa Berkman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

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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 4 institutions in 1 country.

Orfeu M BuxtonDepartment of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania.
Soomi LeeDepartment of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania.
Miguel MarinoDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon.
Chloe BeverlyDivision of Epidemiology, The Ohio State University, Columbus, Ohio.
David M AlmeidaDepartment of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania.
Lisa BerkmanDepartments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts.
Brigham and Women's Hospital · USPennsylvania State University · USOregon Health & Science University · USThe Ohio State University · US

Funding

Workplace Policies and Practices Coordinating CenterU01HD051276 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI KARUNTZOS, GEORGIA TRYPHON · 2005 to 2013
$10.4M
Family Responsive Workplaces &Low-Wage Employee HealthU01AG027669 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BERKMAN, LISA F · 2005 to 2012
$7.5M
Flexible Work and Well-Being Center at the University of MinnesotaU01HD051256 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI KELLY, ERIN L. · 2005 to 2013
$6.7M
Work , Stress, Health &Parenting Among Hotel EmployeesU01HD051217 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI ALMEIDA, DAVID M. · 2005 to 2013
$5.7M
Center for Work-Family Stress, Safety & Health: Portland State University RUU01HD059773 · NICHD · PORTLAND STATE UNIVERSITY · PI HAMMER, LESLIE · 2008 to 2012
$4.5M
Health Consequences of Workplace Policies/Practices-CCU01HD051218 · NICHD · KAISER FOUNDATION RESEARCH INSTITUTE · PI HANSON, GINGER C. · 2005 to 2013
$3.0M
Evaluating cardiometabolic and sleep health benefits of a workplace interventionR01HL107240 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI BUXTON, ORFEU M · 2011 to 2014
$1.8M
NHLBI NIH HHS R01 HL107240NIA NIH HHS U01 AG027669NICHD NIH HHS U01 HD051217NICHD NIH HHS U01 HD051218NICHD NIH HHS U01 HD051256NICHD NIH HHS U01 HD051276NICHD NIH HHS U01 HD059773
6 · The paper itself

Abstract

STUDY

objectivesSleep disorders and sleep deficiency can increase the risk for cardiovascular disease. Less is known about whether multiple positive attributes of sleep health known as the SATED (satisfaction, alertness, timing, efficiency, and duration) model, can decrease future cardiovascular disease risks. We examined whether and how a variety of indicators of sleep health predicted 10-year estimated cardiometabolic risk scores (CRS) among employed adults.

methodsWorkers in two industries-extended care (n = 1,275) and information technology (IT; n = 577)-reported on habitual sleep apnea symptoms and sleep sufficiency, and provided 1 week of actigraphy data including nighttime sleep duration, wake after sleep onset (WASO), sleep timing, and daytime napping. Workers also provided biomarkers to calculate future cardiometabolic risk.

resultsMore sleep apnea symptoms predicted higher CRS in both industries. More sleep sufficiency, less WASO, and less daytime napping (having no naps, fewer naps, and shorter nap duration) were also linked to lower CRS, but only in the extended care workers. There was no effect of sleep duration in both industries. In the IT employee sample, shorter sleep duration (≤ 6 hours versus 6-8 hours) and more naps strengthened the link between sleep apnea and CRS.

conclusionsSleep health, measured by both subjective and objective methods, was associated with lower cardiometabolic disease risks among extended care workers (lower to middle wage workers). Sleep apnea was an important predictor of CRS; for the IT workers, the link between sleep apnea and CRS was exacerbated when they had poorer sleep health behaviors.

Indexed as

Sleep HygieneActigraphyAgedBiomarkersCardiovascular DiseasesFemaleHealth PersonnelHumansInformation TechnologyMaleMiddle AgedRisk FactorsSelf ReportSkilled Nursing FacilitiesSleep Apnea SyndromesBiomarkersactigraphycardiometabolic risksemployeessleep apneasleep health

Identifiers

PMID29458700
PMCPMC5837838
OpenAlexW2792179629

What OpenQuestion holds

Textmetadata
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.