Evidence map›Paper›PMID 29763461›Full record

Trial reportPloS one2018

Night shift work exposure profile and obesity: Baseline results from a Chinese night shift worker cohort.

Miaomiao Sun, Wenting Feng, Feng Wang, Liuzhuo Zhang, Zijun Wu, Zhimin Li, Bo Zhang, Yonghua He, Shaohua Xie, Mengjie Li and 9 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 58 citations in OpenAlex.

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  14. Obesity and Diet Predict Attitudes towards Health Promotion in Pre-Registered Nurses and Midwives.International journal of environmental research and public health · 2021
    Article
  15. Review
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  18. Perturbation of the circadian clock and pathogenesis of NAFLD.Metabolism: clinical and experimental · 2020
    Review
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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

19 authors at 6 institutions in 5 countries.

Miaomiao SunJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-5080-8727
Wenting FengShenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China.
Feng WangJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Liuzhuo ZhangShenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China.
Zijun WuShenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China.
Zhimin LiShenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China.
Bo ZhangJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Yonghua HeJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Shaohua XieJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Mengjie LiJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Joan P C FokOccupational Medicine Care Service, New Territories East Cluster, Hospital Authority, Hong Kong SAR, China.
Gary TseDepartment of Medicine and Therapeutics, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong SAR, China.
Martin C S WongJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Jin-Ling TangJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Samuel Y S WongJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Jelle VlaanderenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherland.
Greg EvansOccupational and Environmental Health Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherland.
Lap Ah TseJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Chinese University of Hong Kong · HKUtrecht University · NLHospital Authority · HKKarolinska University Hospital · SESun Yat-sen University · CNUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to evaluate the associations between types of night shift work and different indices of obesity using the baseline information from a prospective cohort study of night shift workers in China.

methodsA total of 3,871 workers from five companies were recruited from the baseline survey. A structured self-administered questionnaire was employed to collect the participants' demographic information, lifetime working history, and lifestyle habits. Participants were grouped into rotating, permanent and irregular night shift work groups. Anthropometric parameters were assessed by healthcare professionals. Multiple logistic regression models were used to evaluate the associations between night shift work and different indices of obesity.

resultsNight shift workers had increased risk of overweight and obesity, and odds ratios (ORs) were 1.17 (95% CI, 0.97-1.41) and 1.27 (95% CI, 0.74-2.18), respectively. Abdominal obesity had a significant but marginal association with night shift work (OR = 1.20, 95% CI, 1.01-1.43). A positive gradient between the number of years of night shift work and overweight or abdominal obesity was observed. Permanent night shift work showed the highest odds of being overweight (OR = 3.94, 95% CI, 1.40-11.03) and having increased abdominal obesity (OR = 3.34, 95% CI, 1.19-9.37). Irregular night shift work was also significantly associated with overweight (OR = 1.56, 95% CI, 1.13-2.14), but its association with abdominal obesity was borderline (OR = 1.26, 95% CI, 0.94-1.69). By contrast, the association between rotating night shift work and these parameters was not significant.

conclusionPermanent and irregular night shift work were more likely to be associated with overweight or abdominal obesity than rotating night shift work. These associations need to be verified in prospective cohort studies.

Indexed as

AdolescentAdultChinaCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesity, AbdominalOccupational ExposureShift Work Schedule

Identifiers

PMID29763461
PMCPMC5953447
OpenAlexW2803372696

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.