Evidence map›Paper›PMID 41054842›Full record

ArticleAmerican journal of industrial medicine2025

Prevalence of Overnight Work (1 a.m. to 5 a.m.) Among United States Workers.

Imelda S Wong, Toni Alterman, Beverly M Hittle, Raquel Velazquez-Kronen, I-Chen Chen

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Prevalence of night work in the Brazilian employed population.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    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

5 authors.

Imelda S WongOffice of the Provincial Health Officer, Ministry of Health, Government of British Columbia, Victoria, British Columbia, Canada.ORCID 0000-0003-4224-5092
Toni AltermanDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.
Beverly M HittleCollege of Nursing, University of Cincinnati, Cincinnati, Ohio, USA.ORCID 0000-0001-6327-3901
Raquel Velazquez-KronenDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.
I-Chen ChenState of Hawaii, Department of Human Services, Honolulu, Hawaii, USA.ORCID 0000-0001-6764-8395

Funding

The authors received no specific funding for this work.
6 · The paper itself

Abstract

backgroundMany factors have resulted in the normalization of nonstandard work schedules in recent decades, including globalization requiring working across time zones and growing demands for goods and services. This paper provides national estimates of overnight work in the USA.

methodsWe used cross-sectional data from the 2015 National Health Interview Survey (n = 19,386 US employed adults ≥ 18 years). This survey contained a unique definition of overnight work (i.e., between 1:00 a.m. and 5:00 a.m.), based on the window of circadian low. Weighted prevalence rates were provided across categories of sociodemographic characteristics, health status, health behaviors, and occupational factors.

resultsWe estimated more than 21 million US employed adults experienced overnight work (14.2%). Higher prevalence was found among men (17.8%), non-Hispanic Black adults (17.2%), non-US born adults (11.2%), those with some college (15.9%) or a high school (16.7%) education, or living in the Midwest region (15.8%). Compared to those sleeping 7-9 h (10.5%), higher percentages of adults working overnight slept < 7 h (21.4%) and > 9 h (17.0%). Increasing prevalence was observed with increasing weekly work hours (p < 0.0001). Higher prevalence was reported among multiple job holders (19.5%). Industries and occupations with the greatest percentage of overnight workers were Transportation, Warehousing and Utilities (29.3%), and Protective Services (47.4%).

conclusionOur estimates of overnight work in 2015 are almost five times higher than estimates from 2004. Given that overnight work has been associated with adverse safety and health outcomes, additional policies and programs are needed to protect this growing population of workers.

Indexed as

Work Schedule ToleranceAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceSleepUnited StatesYoung AdultindustryNational Health Interview Surveynight shiftnonstandard work scheduleoccupationovernight workprevalenceshift workUS workerswork hours

Identifiers

PMID41054842
PMCPMC12606400

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.