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Secondary Data Analysis on the Factors Influencing Premenstrual Symptoms of Shift Work Nurses: Focused on the Sleep and Occupational Stress
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Jihyun Baek, Smi Choi-Kwon
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J Korean Acad Nurs 2020;50(4):631-640. Published online August 31, 2020
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DOI: https://doi.org/10.4040/jkan.19230
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 Abstract
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- Purpose
This study aimed to examine premenstrual symptoms (PMS) of shift nurses and identify the association between PMS, sleep, and occupational stress.
Methods
This study was conducted with a secondary data analysis that used data from the Shift Work Nurse’s Health and Turnover study. The participants were 258 nurses who were working in shifts including night shifts. PMS, sleep patterns (sleep time and sleep time variability), sleep quality, and the occupational stress of each participant were measured using the Moos Menstrual Distress Questionnaire, a sleep diary, an actigraph, the Insomnia Severity Index, and the Korean Occupational Stress Scale, respectively. Data were analyzed using SPSS 23 and STATA 15.1 to obtain descriptive statistics, Pearson’s correlation coefficients, multiple linear regression with generalized estimating equations (GEE) and Baron and Kenny’s mediating analysis.
Results
The average PMS score, average sleep time, average sleep time variability, average sleep quality score, and average occupational stress score of the participants was 53.95 ± 40.45, 7.52 ± 0.89 hours, 32.84 ± 8.43%, 12.34 ± 5.95, and 49.89 ± 8.98, respectively. A multiple linear regression analysis with GEE indicated that sleep time variability (B = 0.86, p = .001), and sleep quality (B = 2.36, p < .001) had negative effects on nurses’ PMS. We also found that sleep quality had a complete mediating effect in the relationship between occupational stress and PMS.
Conclusion
These findings indicate that both sleep time variability and sleep quality are important factors associated with PMS among shift work nurses. To improve shift nurses’ PMS status, strategies are urgently needed to decrease sleep time variability and increase sleep quality.
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Citations
Citations to this article as recorded by  - Hospital Nurses’ Professional Quality of Life Model: A Cross‐Sectional Study Based on the Expanded Job Demands‐Resources Model
Younghee Kim, Mi Yu, Jacopo Fiorini
Journal of Nursing Management.2025;[Epub] CrossRef - Premenstrual Symptoms Risk Factors Among Newly Graduated Nurses in Shift Work: A Prospective Longitudinal Study
Iksoo Huh, Smi Choi-Kwon, Jison Ki, Soyeon Kim, Jihyun Baek
Asian Nursing Research.2024; 18(5): 501. CrossRef - Premenstrual Syndrome’s Impact on Work-Related Quality of Life Among Jordanian Nurses
Yamamah Al-Hmaid, Othman Beni Yonis, Mais Alkhalili, Khalid Kheirallah
Cureus.2024;[Epub] CrossRef - Investigating influencing factors on premenstrual syndrome (PMS) among female college students
Su Jeong Yi, Miok Kim, Ina Park
BMC Women's Health.2023;[Epub] CrossRef - Development and validation of risk prediction model for premenstrual syndrome in nurses: results from the nurses-based the TARGET cohort study
Li Li, Xiaoyan Lv, Yuxin Li, Xinyue Zhang, Mengli Li, Yingjuan Cao
Frontiers in Public Health.2023;[Epub] CrossRef - Shift nurses’ social jetlag, anxiety, and premenstrual symptoms: A cross-sectional study
Taeyeon Kim, Sun Joo Jang
Collegian.2022; 29(4): 477. CrossRef - Depressive symptoms and menstrual distress according to the menstrual phase in nurses: the Korea Nurses’ Health Study
Oksoo Kim, Sue Kim, Hae Ok Jeon, Ahrin Kim, Chiyoung Cha, Bohye Kim
Journal of Psychosomatic Obstetrics & Gynecology.2022; 43(4): 541. CrossRef - Secondary Data Analysis on the Quality of Sleep and Related Factors of Novice and Experienced Shift Work Nurses
Minjeong Yu, Smi Choi-Kwon
Journal of Korean Academy of Nursing.2020; 50(5): 646. CrossRef
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