Evidence map›Paper›PMID 39419587›Full record

SynthesisJapan journal of nursing science : JJNS2025

Association of psychosocial factors at work with fertility and menstrual disorders: A systematic review.

Natsu Sasaki, Kotaro Imamura, Kazuhiro Watanabe, Yui Hidaka, Asuka Sakuraya, Emiko Ando, Hisashi Eguchi, Akiomi Inoue, Kanami Tsuno, Yu Komase and 8 more

Abstract readSystematic Review
In one paragraph

Synthesis in Japan journal of nursing science : JJNS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Observational
  5. Article
  6. 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

18 authors.

Natsu SasakiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6097-5948
Kotaro ImamuraDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2584-0666
Kazuhiro WatanabeDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.
Yui HidakaDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Asuka SakurayaDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Emiko AndoInstitute for Cancer Control, National Cancer Center Japan, Tokyo, Japan.
Hisashi EguchiDepartment of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Akiomi InoueInstitutional Research Center, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Kanami TsunoSchool of Health Innovation, Kanagawa University of Human Services, Kawasaki, Japan.
Yu KomaseDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mako IidaDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yasumasa OtsukaFaculty of Human Sciences, University of Tsukuba, Tokyo, Japan.
Mai IwanagaDepartment of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2837-494X
Yuka KobayashiDepartment of Clinical Psychology, Faculty of Social Policy & Administration, Hosei University, Tokyo, Japan.
Reiko InoueDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.
Akihito ShimazuFaculty of Policy Management, Keio University, Japan.
Akizumi TsutsumiDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.
Norito KawakamiDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1080-2720

Funding

Japan Society for the Promotion of Science 23K16350The University of Tokyo Occupational Mental Health (TOMH) Research Fund
6 · The paper itself

Abstract

objectivesThis systematic review aimed to assess the association between psychosocial factors in the workplace and menstrual abnormalities or fertility, focusing on literature implementing a prospective cohort design.

methodsWe searched MEDLINE, EMBASE, PsycINFO, PsycARTICLES, and Japan Medical Abstracts Society electronic databases for studies published from inception to February 26, 2020, and updated the search in PubMed on May 29, 2024. Inclusion criteria were (P) adult female workers (over 18 years old), (E) presence of adverse psychosocial factors at work, (C) absence of adverse psychosocial factors at work, and (O) any menstrual cycle disorders, menstrual-related symptoms, or fertility issues. Prospective cohort studies were included. The included studies were summarized descriptively.

resultsDatabase searching yielded 14,238 abstracts, with nine studies meeting the inclusion criteria. Outcomes included fertility (n = 5), irregular menstrual cycle (n = 1), early menopause (n = 1), endometriosis (n = 1), and serum hormones (n = 1). Study findings included that women with high job demands and low job control were less likely to conceive, and working over 40 h per week and frequent heavy lifting, and rotating night shift work increased the risk of earlier menopause. Studies on night shift/rotating work and fertility outcomes showed no significant differences.

conclusionThis review underscores the insufficient high-level evidence regarding the association of psychosocial factors at work with fertility and menstrual disorders, emphasizing the necessity for future well-designed studies.

Indexed as

Menstruation DisturbancesWorkplaceAdultFemaleFertilityHumansbiopsychosocial medicineendocrinegynecologyoccupational healthreproductive health

Identifiers

PMID39419587
PMCPMC11683317

What Socratic 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 Socratic graph.