Literature DB >> 33211393

Frequency of night shift and menstrual cycle characteristics in Japanese nurses working under two or three rotating shifts.

Michinori Mayama1, Takeshi Umazume1, Hidemichi Watari1, Sho Nishiguchi2, Takuhiro Moromizato3, Takashi Watari4.   

Abstract

OBJECTIVES: In Japan, the prevalence of irregular menstrual cycles and its association with the frequency of night shifts have scarcely assessed. The present study aimed to evaluate the relationship between irregular menstrual cycles and the frequency of night shifts in Japanese female nurses.
METHODS: We conducted a cross-sectional web-based self-administered questionnaire survey in 2019. An irregular menstrual cycle was defined as a cycle length of ≤21 days or ≥39 days at least a few times over the past year or amenorrhea for at least 3 months. We used Poison regression analysis with a robust error variance to calculate the prevalence ratios adjusted for age, body mass index, hospital size, and the department in which they worked.
RESULTS: A total of 1249 women were included, and 679 (54.4%) and 195 (15.6%) of them worked under two and three rotating shifts. The prevalence of irregular menstrual cycles was 24.8%, 37.4%, and 35.9% in the no night, two rotating, and three rotating shifts groups, respectively. While the frequency of night shifts had a dose-responsive relationship with irregular menstrual cycles in the two rotating shifts group, it was not observed in the three rotating shifts group. However, the risk of work getting affected by dysmenorrhea or premenstrual symptoms increased in the three rotating shifts group.
CONCLUSIONS: Over 30% of Japanese female nurses working under night shifts had irregular menstrual cycles. The high frequency of night shifts increased the risk of irregular menstrual cycles and secondary amenorrhea in the two rotating shifts group.
© 2020 The Authors. Journal of Occupational Health published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health.

Entities:  

Keywords:  irregular menstrual cycle; night shift; nurse; rotating shift working; secondary amenorrhea

Mesh:

Year:  2020        PMID: 33211393      PMCID: PMC7676323          DOI: 10.1002/1348-9585.12180

Source DB:  PubMed          Journal:  J Occup Health        ISSN: 1341-9145            Impact factor:   2.708


  24 in total

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3.  Comparison of menstrual disorders in hospital nursing staff according to shift work pattern.

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Journal:  Ann Epidemiol       Date:  2006-08-01       Impact factor: 3.797

6.  FSH receptor gene p. Thr307Ala and p. Asn680Ser polymorphisms are associated with the risk of polycystic ovary syndrome.

Authors:  Jin Ju Kim; Young Min Choi; Min A Hong; Soo Jin Chae; Kyuri Hwang; Sang Ho Yoon; Seung Yup Ku; Chang Suk Suh; Seok Hyun Kim
Journal:  J Assist Reprod Genet       Date:  2017-05-25       Impact factor: 3.412

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Authors:  T Tamada; H Iwasaki
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Authors:  R H Reindollar; M Novak; S P Tho; P G McDonough
Journal:  Am J Obstet Gynecol       Date:  1986-09       Impact factor: 8.661

Review 9.  Phenotype and genotype of polycystic ovary syndrome in Asia: Ethnic differences.

Authors:  Jin Ju Kim; Young Min Choi
Journal:  J Obstet Gynaecol Res       Date:  2019-10-07       Impact factor: 1.730

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  1 in total

1.  Effects of Electrocardiographic Monitoring Education on Nurses' Confidence and Psychological Stress: An Online Cross-Sectional Survey in Japan.

Authors:  Sho Nishiguchi; Nagisa Sugaya; Yusuke Saigusa; Michinori Mayama; Takuhiro Moromizato; Masahiko Inamori; Yasuharu Tokuda; Takashi Watari
Journal:  Int J Environ Res Public Health       Date:  2022-04-14       Impact factor: 4.614

  1 in total

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