Evidence map›Paper›PMID 33713311›Full record

SynthesisReviews in endocrine & metabolic disorders2021

A meta-analysis of observational studies including dose-response relationship between long working hours and risk of obesity.

Wenzhen Li, Wenyu Ruan, Zhenlong Chen, Guilin Yi, Zuxun Lu, Dongming Wang

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Reviews in endocrine & metabolic disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Long Working Hours and the Risk of Glucose Intolerance: A Cohort Study.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. 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

6 authors.

Wenzhen LiDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Wenyu RuanShangluo Central Hospital, Shangluo, Shanxi, 726000, P. R. China.
Zhenlong ChenWuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China.
Guilin YiWuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China.
Zuxun LuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Dongming WangDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. wangdm@hust.edu.cn.ORCID 0000-0002-9297-8369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to conduct a meta-analysis with stick reference and uniform cut-off of obesity to evaluate the relationship between long working hours and risk of obesity, using a quantitative dose-response method. The PubMed and Web of Science databases were searched through February 26, 2021, odds ratios (ORs) were pooled by using random-effects models and restricted cubic spline analysis with four knots was used to explore the dose-response relationship of working time and risk of obesity. Ten observational studies with 20 independent reports involving 189,590 participants were included in the present analysis. The summarized adjusted OR for the relationship between long working hours and obesity risk was 1.13 (95% CI: 1.01 to 1.26), when compared with weekly working hours less than and equal to 40 h using the random-effects model. A J-shaped association between long working hours and risk of obesity was observed (P < 0.001 for nonlinearity) for the dose-response relationship. Exclusion of any single study did not alter the combined relative risk. Individuals involved in long working hours are more likely to be obesity. Further studies are needed to confirm the results, and optimized and proper job arrangement should be established for improving the health of workers.

Indexed as

ObesityHumansRisk FactorsLong working hoursMeta-analysisObesity

Identifiers

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.