Evidence map›Paper›PMID 36071533›Full record

ArticleSystematic reviews2022

The impact of workplace psychosocial factors on menstrual disorders and infertility: a protocol for a systematic review and meta-analysis.

Natsu Sasaki, Kotaro Imamura, Kazuhiro Watanabe, Yui Hidaka, Emiko Ando, Hisashi Eguchi, Akiomi Inoue, Kanami Tsuno, Yu Komase, Mako Iida and 9 more

Abstract read
In one paragraph

Article in Systematic reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

19 authors.

Natsu SasakiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kotaro ImamuraDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. kouima-tky@umin.ac.jp.ORCID http://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.
Emiko AndoInstitute for Cancer Control, National Cancer Center, Tokyo, Japan.
Hisashi EguchiDepartment of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.
Akiomi InoueInstitutional Research Center, University of Occupational and Environmental Health, 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 Psychiatric Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yasumasa OtsukaFaculty of Human Sciences, University of Tsukuba, Tokyo, Japan.
Asuka SakurayaDepartment of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Yumi AsaiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mai IwanagaDepartment of Psychiatric Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yuka KobayashiFaculty 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, Tokyo, 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, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWorkplace environment, especially psychosocial factors at work such as job strain, workplace social support, and shift work, may affect the menstrual abnormalities and fertility of female workers. However, the association between psychosocial factors at work and menstrual abnormalities or fertility is not well understood. To address this relationship, we will conduct a systematic review and a meta-analysis of the literature that has utilized a longitudinal or prospective cohort design. METHODS AND ANALYSIS: The inclusion criteria for this systematic review and meta-analysis are defined as follows: (P) adult female workers (over 18 years old), (E) the presence of adverse psychosocial factors at work, (C) the absence of adverse psychosocial factors at work, and (O) any menstrual cycle disorders, menstrual-related symptoms, or fertility. The MEDLINE, Embase, PsycINFO, PsycArticles, and Japan Medical Abstracts Society electronic databases will be used to search for published studies. The statistical synthesis of the studies included in the meta-analysis will be conducted to estimate pooled coefficients and 95% CIs. For the main analysis, we will synthesize measures of association between psychosocial factors at work and menstrual-related disorders/symptoms. At least three eligible studies will have to be gathered to conduct a meta-analysis; otherwise (i.e., if only one or two studies will be eligible and included), the results will be presented in a narrative table. We will use the Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) to determine the quality of selected studies. To assess meta-bias, Egger's test, along with a funnel plot, will be used to check for publication bias. Lastly, we will examine heterogeneity using the χ ETHICS AND DISSEMINATION: The results and findings will be submitted and published in a scientific peer-reviewed journal and will be disseminated broadly to researchers and policymakers interested in the translatability of scientific evidence into good practices. SYSTEMATIC REVIEW REGISTRATION: The study protocol was registered at the UMIN registry (registration number: UMIN000039488). The registration date is on 14 Feb 2020. URL: https://upload.umin.ac.jp/cgi-bin/ctr/ctr_view_reg.cgi?recptno=R000044704.

Indexed as

InfertilityWorkplaceAdultFemaleHumansMeta-Analysis as TopicProspective StudiesSystematic Reviews as TopicBiopsychosocial medicineEndocrineGynecologyOccupational healthReproductive health

Identifiers

PMID36071533
PMCPMC9581335

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.