Evidence map›Paper›PMID 35026653›Full record

ArticleSleep medicine2022

Associations of adverse childhood experiences (ACEs) with sleep duration and quality: the BCOPS study.

Luenda E Charles, Anna Mnatsakanova, Desta Fekedulegn, John M Violanti, Ja Kook Gu, Michael E Andrew

Open access · greenAbstract read
In one paragraph

Article in Sleep medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 14 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 3 institutions in 1 country.

Luenda E CharlesBioanalytics Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA. Electronic address: lcharles@cdc.gov.
Anna MnatsakanovaBioanalytics Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA. Electronic address: fma8@cdc.gov.
Desta FekedulegnBioanalytics Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA. Electronic address: djf7@cdc.gov.
John M ViolantiDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY, USA. Electronic address: violanti@buffalo.edu.
Ja Kook GuBioanalytics Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA. Electronic address: gum4@cdc.gov.
Michael E AndrewBioanalytics Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, USA. Electronic address: mta6@cdc.gov.
National Institute for Occupational Safety and Health · USCenters for Disease Control and Prevention · USUniversity at Buffalo, State University of New York · US

Funding

Stress and Subclinical Cardio-Metabolic Disease in Police: A Longitudinal StudyR01OH009640 · OH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI VIOLANTI, JOHN M · 2010 to 2014
$2.7M
ACL HHS R01OH010807Intramural CDC HHS CC999999NIOSH CDC HHS R01 OH009640NIOSH CDC HHS R01 OH010807
6 · The paper itself

Abstract

backgroundAdverse Childhood Experiences (ACEs) are associated with numerous adverse health outcomes in adulthood. Our objective was to investigate associations between ACEs and sleep measures among 206 police officers from the Buffalo Cardio-Metabolic Occupational Police Stress study.

methodsACEs (independent variable) was assessed using the ACE questionnaire. Sleep measures were assessed using the Pittsburgh Sleep Quality Index and actigraphy. ANOVA/ANCOVA were used to investigate associations between ACEs and sleep measures.

resultsThe mean self-reported sleep duration was significantly lower among participants who reported ≥1 ACEs compared to those who reported no ACEs (6.0 ± 0.11 vs. 6.4 ± 0.14 h; multivariate-adjusted p = 0.035). Sleep efficiency was significantly lower among participants who reported ≥1 ACEs compared to those who reported none (mean = 88.7%, 95% CI = 87.7-89.6 vs. 90.2%, 89.2-91.2; unadjusted p = 0.031) but was slightly attenuated and lost statistical significance after multivariate-adjustment (88.8%, 87.8-89.7 vs. 90.1%, 88.9-91.1; p = 0.094). Compared to participants who reported no ACEs, those who reported ≥1 ACEs had a higher mean activity index score (36.9 ± 0.96 vs. 31.2 ± 1.25; multivariate-adjusted p = 0.001); a higher mean wake after sleep onset (WASO) (44.3 ± 2.24 vs. 35.3 ± 2.92 min; multivariate-adjusted p = 0.019); and a higher sleep fragmentation index (3.8 ± 1.65 vs. 3.3 ± 1.20 unadjusted p = 0.044 and 3.8 ± 0.13 vs. 3.3 ± 0.18; multivariate-adjusted p = 0.062). Among men (but not women) who reported ≥1 ACEs, self-reported sleep duration was significantly lower (5.9 ± 0.13 vs. 6.4 ± 0.15 h; multivariate-adjusted p = 0.025) and activity index was significantly higher (39.1 ± 1.3 vs. 33.2 ± 1.51; multivariate-adjusted p = 0.004) compared to those who reported no ACEs.

conclusionExposure to ≥1 ACE was associated with worse sleep measures.

Indexed as

Adverse Childhood ExperiencesOccupational StressSleep Initiation and Maintenance DisordersAdultHumansSleepSleep DeprivationACEsActigraphyAdverse childhood experiencesLaw enforcement officersPolice officersSleep

Identifiers

PMID35026653
PMCPMC8916064
OpenAlexW4200014396

What OpenQuestion holds

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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.