Evidence map›Paper›PMID 33125469›Full record

ArticleAnnals of work exposures and health2021

Work Characteristics, Body Mass Index, and Risk of Obesity: The National Quality of Work Life Survey.

Stephanie Myers, Usha Govindarajulu, Michael A Joseph, Paul Landsbergis

Abstract read
In one paragraph

Article in Annals of work exposures and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

4 authors.

Stephanie MyersDepartment of Environmental and Occupational Health Sciences, School of Public Health, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA.
Usha GovindarajuluDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA.
Michael A JosephDepartment of Epidemiology and Biostatistics, School of Public Health, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA.
Paul LandsbergisDepartment of Environmental and Occupational Health Sciences, School of Public Health, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA.

Funding

Pilot Projects/Mt. SinaiT42OH008422 · OH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI MEYER, JOHN D · 2005 to 2025
$28.6M
Training Veterinarians for Careers in Biomedical ResearchT32OD011089 · OD · JOHNS HOPKINS UNIVERSITY · PI JOSEPH L MANKOWSKI · 2012 to 2026
$6.7M
NIH HHS T32 OD011089NIOSH CDC HHS T42 OH008422
6 · The paper itself

Abstract

objectivesTo examine work characteristics in relation to body mass index (BMI) and risk of obesity.

methodsWe analyzed data from 1150 participants working 20+ h week-1 from the 2014 National NIOSH Quality of Work Life Survey, based on a representative sample of US workers. We used multiple linear regression for BMI and multiple logistic regression for obesity to estimate associations with 19 different work characteristics plus one set of occupational categories controlling for age, gender, race/ethnicity, education, marital status, job physical exertion, and television watching.

resultsWe found significant positive linear associations between BMI and night shift (versus day shift) schedule (B = 2.28, P = 0.008) and blue-collar (versus management/professional) work (B = 1.75, P = 0.008). Night shift schedule [odds ratio (OR) = 2.19, P = 0.029], sales/office work (OR = 1.55, P = 0.040), and blue-collar work (OR = 2.63, P = 0.006) were associated with increased risk of obesity versus 'healthy weight'. No other statistically significant associations between work characteristics and BMI or obesity were observed.

conclusionsNight shift schedule and blue-collar work were related to increased BMI and obesity risk in US workers in 2014. Identifying risk factors in blue-collar work and redesigning jobs to reduce those risk factors, and reducing night shift work, could play a role in reducing the prevalence of obesity in the USA.

Indexed as

Occupational ExposureShift Work ScheduleBody Mass IndexCross-Sectional StudiesHumansObesityRisk FactorsBMIbody mass indexobesityQuality of Work Life surveywork characteristics

Identifiers

PMID33125469
PMCPMC8244120

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.