Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Syst Rev. 2022 Sep 7;11(1):195. doi: 10.1186/s13643-022-02066-4.
Workplace 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.
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 test with Cochran's Q statistic and I.
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.
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.
工作场所环境,特别是工作中的心理社会因素,如工作压力、工作场所社会支持和轮班工作,可能会影响女性工人的月经异常和生育能力。然而,工作中的心理社会因素与月经异常或生育能力之间的关系尚不清楚。为了解决这个问题,我们将对使用纵向或前瞻性队列设计的文献进行系统回顾和荟萃分析。
本系统回顾和荟萃分析的纳入标准定义如下:(P)成年女性工人(18 岁以上),(E)存在不良工作心理社会因素,(C)不存在不良工作心理社会因素,(O)任何月经周期障碍、月经相关症状或生育能力。将使用 MEDLINE、Embase、PsycINFO、PsycArticles 和日本医学摘要协会电子数据库搜索已发表的研究。将对纳入荟萃分析的研究进行统计综合,以估计汇总系数和 95%置信区间。对于主要分析,我们将综合工作中的心理社会因素与月经相关障碍/症状之间的关联度量。至少需要有三项符合条件的研究才能进行荟萃分析;否则(即,如果只有一项或两项研究符合条件并被纳入),结果将以叙述表的形式呈现。我们将使用非随机干预研究的干预措施(ROBINS-I)风险评估来确定所选研究的质量。为了评估荟萃分析中的偏倚,将使用 Egger 检验以及漏斗图来检查发表偏倚。最后,我们将使用 χ 检验和 Cochran's Q 统计量和 I 来检查异质性。
结果和发现将提交并发表在科学同行评议期刊上,并广泛传播给对将科学证据转化为良好实践感兴趣的研究人员和政策制定者。
研究方案已在 UMIN 注册(注册号:UMIN000039488)。注册日期为 2020 年 2 月 14 日。网址:https://upload.umin.ac.jp/cgi-bin/ctr/ctr_view_reg.cgi?recptno=R000044704。