Evidence map›Paper›PMID 37954014›Full record

ReviewSSM - population health2023

Shift work and menstruation: A meta-analysis study.

Fengying Hu, Cuiyun Wu, Yunfei Jia, Hualong Zhen, Hengshun Cheng, Fan Zhang, Liuqing Wang, Minmin Jiang

Open access · goldAbstract readReview
In one paragraph

Review in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Review
  5. Article
  6. Article
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  14. Observational
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

8 authors at 1 institution in 1 country.

Fengying HuDepartment of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Cuiyun WuThe Third People's Hospital of Hefei, Hefei Third Clinical College of Anhui Medical University, Hefei, 230022, China.
Yunfei JiaDepartment of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Hualong ZhenDepartment of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Hengshun ChengDepartment of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Fan ZhangDepartment of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Liuqing WangThe Third People's Hospital of Hefei, Hefei Third Clinical College of Anhui Medical University, Hefei, 230022, China.
Minmin JiangDepartment of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, 230032, China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Shift work is a potential risk factor for women's reproductive health. Evidence suggests that shift work is associated with menstrual disorders, reproductive disturbances, and adverse pregnancy outcomes. However, previous studies did not systematically examine the results of menstrual irregularities, dysmenorrhea, and early menopause at the same time. Objective: To determine the relationship between shift work and women's menstrual characteristics (e.g., irregular menstruation, dysmenorrhea, and early menopause). Methods: Four databases (PubMed, Embase, Cochrane, and Web of Science) were searched up to December 2022. The study characteristics and risk assessment values of the literature were extracted from 21 studies that met the criteria. Odds ratios (ORs), relative risks (RRs), hazard ratios (HRs), and 95% confidence intervals (CIs) were calculated to assess the relationship between shift work exposure and menstruation. The included studies were evaluated for heterogeneity, publication bias, sensitivity analysis, and subgroup analysis. Results: A total of 21 studies with 195,538 female participants, including 16 cross-sectional studies and 5 cohort studies, were included in this meta-analysis. According to the quality evaluation, the included research had high methodological quality. The overall ORs of shift work for the likelihood of irregular menstruation and dysmenorrhea were 1.30 (95% Conclusions: This meta-analysis indicated that shift workers have significantly higher odds of menstrual disorders, dysmenorrhea, and early menopause. This study focuses on female reproductive health and has broad implications for adjusting optimal working hours and shift schedules for female workers.

Indexed as

DysmenorrheaIrregular menstruationMenopauseMenstruationShift work

Identifiers

PMID37954014
PMCPMC10632107
OpenAlexW4387846003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.