Evidence map›Paper›PMID 27145834›Full record

ArticleBMC women's health2016

Rotating shift work and menstrual characteristics in a cohort of Chinese nurses.

Yizi Wang, Fang Gu, Mingfen Deng, Lan Guo, Ciyong Lu, Canquan Zhou, Shouzhen Chen, Yanwen Xu

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

8 authors at 2 institutions in 1 country.

Yizi WangReproductive Center, the 6th Building, the First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2 Road No. 58, YueXiu District, Guangzhou, 510080, Guangdong Province, China.
Fang GuReproductive Center, the 6th Building, the First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2 Road No. 58, YueXiu District, Guangzhou, 510080, Guangdong Province, China.
Mingfen DengReproductive Center, the 6th Building, the First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2 Road No. 58, YueXiu District, Guangzhou, 510080, Guangdong Province, China.
Lan GuoDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
Ciyong LuDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
Canquan ZhouReproductive Center, the 6th Building, the First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2 Road No. 58, YueXiu District, Guangzhou, 510080, Guangdong Province, China.
Shouzhen ChenNursing Department, the First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2 Road No.58, YueXiu District, Guangzhou, Guangdong Province, 510080, China. chenshouzhen001@126.com.
Yanwen XuReproductive Center, the 6th Building, the First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2 Road No. 58, YueXiu District, Guangzhou, 510080, Guangdong Province, China. xuyanwen@live.cn.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShift work disrupts the circadian rhythm and may cause menstruation disorders. This study assessed the impact of shift work on menstrual cycle in a population of Chinese nurses.

methodsQuestionnaires on menstrual characteristics and shift schedules were sent to female nurses of the First Affiliated Hospital of Sun Yat-sen University (FAHSYSU) and Guanghua Hospital of Stomatology (GHHS), affiliated to Sun Yat-sen University. Part I was a cross-sectional study and included 139 nurses in GHHS who had regular 8:00-17:30 working (non-shift group), and 334 nurses from FAHSYSU who worked shifts, a response rate of 67.5 % and 59.6 %, respectively (age ≤ 50 years). Menstrual patterns were compared and age-adjusted relative risks of shift work were analyzed. Part II was a nested case-control study. Cases were nurses in Part I who had regular cycle with mean cycle length (MCL) of 25-31 days and but at least 3 days variation in MCL after starting shift work (n = 45). Controls consisted of 67 nurses with matching shift patterns and age, but no MCL changes. A control non-shift age-matched group consisted of 30 GHHS nurses with no MCL changes. A follow-up second questionnaire was sent 2 years later.

resultsIn Part I, the shift group had a significantly higher proportion of nurses with menstrual cycle irregularity. The proportion of nurses with a cycle of 25-31 days decreased from 81.7 to 67.8 % after changing to shift work. Logistic regression analysis showed that night shift frequency was the only risk factor associated with cycle shortening. After adjusting for age, MCL was shorter when night work was performed > 7 times per month. In Part II, the mean change in MCL in the case group, including prolongation or shortening, was 4.115 ± 2.084 days after shift working. In the 2 years' follow-up, the MCL of the study group did not recover to the original length.

conclusionsRotating shift work can increase the prevalence of menstrual cycle irregularity. Night shift frequency was the only risk factor associated with cycle reduced. Changes in MCL did not show recovery over a follow-up period of 2 years.

Indexed as

Time FactorsAdultBody Mass IndexCase-Control StudiesChinaChi-Square DistributionCircadian RhythmCohort StudiesCross-Sectional StudiesFemaleHumansMenstruationMiddle AgedNursesPrevalenceSurveys and QuestionnairesCircadian rhythmMenstrual cycleNursesShift work

Identifiers

PMID27145834
PMCPMC4857333
OpenAlexW2346950352

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.