Journal of Korean Academy of Nursing

Original Article

Secondary Data Analysis on the Quality of Sleep and Related Factors of Novice and Experienced Shift Work Nurses: Yu, Minjeong , Smi, Choi-Kwon; J Korean Acad Nurs 2020;50(5):646-657. Published online October 31, 2020; DOI: https://doi.org/10.4040/jkan.19238

Purpose
The purpose of this study was to identify the quality of sleep in novice and experienced shift work nurses and compare the factors associated with their quality of sleep.
Methods
We analyzed the data of 192 and 256 novice and experienced nurses, respectively. The quality of sleep, sleep hygiene, job stress, and fatigue were measured using Insomnia Severity Index, Sleep Hygiene Practice Scale, the Korean Occupational Stress Scale, and Fatigue Severity Scale. Data were analyzed using SPSS 25.0 to calculate descriptive statistics and logistic regression.
Results
Sleep quality was lower in experienced nurses (12.55 ± 5.71) than in novice nurses (11.18 ± 5.78). Fatigue was more severe in experienced nurses (4.47 ± 1.13) than in novice nurses (4.23 ± 1.12). In the logistic regression, factors related to sleep quality in novice nurses were sleep hygiene (odds ratio; OR = 1.06, p < .001) and fatigue (OR = 2.49, p < .001). Factors related to sleep quality in the experienced nurses were also sleep hygiene (OR = 1.04, p = .001) and fatigue (OR = 1.53, p = .012).
Conclusion
Sleep quality of experienced nurses is lower than those of novice nurses. Factors associated with sleep quality in novice and experienced nurses are equally identified as sleep hygiene and fatigue. Therefore, personal efforts to improve sleep hygiene, such as providing comfortable sleep environment, are needed. Furthermore, organized efforts to decrease fatigue, such as constructing a working environment with a bright light at night and providing a fatigue-decreasing program that includes meditation, are required.

Citations

Citations to this article as recorded by

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BMC Public Health.2024;[Epub] CrossRef
Factors Influencing Sleep Disturbance of Novice Nurses: Focusing on Sleep Hygiene and Physical Activity - Longitudinal Study of Secondary Data
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Journal of Korean Academy of Nursing Administration.2023; 29(3): 278. CrossRef
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Hyun Ju Uhm, Hye-Ja Park
Journal of Health Informatics and Statistics.2022; 47(2): 95. CrossRef
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Khader A. Almhdawi, Hassan Alrabbaie, Donia S. Obeidat, Saddam F. Kanaan, Moh’d Rami Alahmar, Zaid Modhi Mansour, Alaa O. Oteir
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Research Paper

Secondary Data Analysis on the Factors Influencing Premenstrual Symptoms of Shift Work Nurses: Focused on the Sleep and Occupational Stress: Baek, Jihyun , Choi-Kwon, Smi; J Korean Acad Nurs 2020;50(4):631-640. Published online August 31, 2020; DOI: https://doi.org/10.4040/jkan.19230

Abstract PDF

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.

Citations

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Hospital Nurses’ Professional Quality of Life Model: A Cross‐Sectional Study Based on the Expanded Job Demands‐Resources Model
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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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8 Crossref

Original Article

Structural Equation Model for Sleep Quality of Female Shift Work Nurses: Ji Yeong Jeong, Mee Ock Gu; J Korean Acad Nurs 2018;48(5):622-635. Published online October 31, 2018; DOI: https://doi.org/10.4040/jkan.2018.48.5.622

Abstract PDF

Purpose

This study aimed to develop and test a structural model for sleep quality in female shift work nurses. The hypothetical model was constructed on the basis of Spielman's 3P model of insomnia and previous research related to the sleep quality of shift nurses.

Methods

This cross-sectional study used structural equation modeling and recruited 285 female shift work nurses from four general and university hospitals with over 300 beds located in C and J cities in Gyeongsangnamdo. Data were collected from September 27 to October 20, 2016, and then analyzed using descriptive statistics, Pearson's correlation, and structural equation modeling. The study used SPSS/Win 18.0 and AMOS 18.0 in processing the data.

Results

The final model showed good fit to the empirical data: χ²/df=2.19, SRMR=.07, RMSEA=.07, AGFI=.85, TLI=.91, GFI=.93, GFI=.89, NFI=.87. The factors that influenced sleep quality were sleep hygiene (β=.32), perceived shift work status (β=−.16), stress response (β=.16), shift work experience (β=.15), perceived health status (β=−.14), and circadian rhythm (β=−.13) explaining 36.0% of the variance.

Conclusion

The model of sleep quality of the shift work nurses constructed in this study is recommended as a model to understand and predict the sleep quality of shift work nurses. The results suggest that strategies for improving the sleep quality of shift work nurses should focus on sleep hygiene, perceived health status, stress response, circadian rhythm, perceived shift work status, and shift work experience.

Citations

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Holistic sleep improvement strategies for frontline nurses served during a public health emergency (COVID‐19) in Wuhan, China: A quasi‐experimental study
Yanli Zhang, Manli Tang, Yanrong Zhou
Nursing Open.2023; 10(3): 1471. CrossRef
Associations between the Timing and Nutritional Characteristics of Bedtime Meals and Sleep Quality for Nurses after a Rotating Night Shift: A Cross-Sectional Analysis
Jung Hoon Park, Hyuntae Park, Seongryu Bae, Jiyeon Kang
International Journal of Environmental Research and Public Health.2023; 20(2): 1489. CrossRef
Predictors of dropout in university students participating in an 8-week e-mail-based cognitive-behavioral therapy for insomnia intervention
Hyojin Nam, Jinyoung Chang, Mickey Trockel, Isa Okajima, Chien-Ming Yang, Ngan Yin Chan, Shirley Li, Sooyeon Suh
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Psychosocial factors affecting sleep quality of pre-employed firefighters: a cross-sectional study
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Annals of Occupational and Environmental Medicine.2020;[Epub] CrossRef
Secondary Data Analysis on the Quality of Sleep and Related Factors of Novice and Experienced Shift Work Nurses
Minjeong Yu, Smi Choi-Kwon
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Sleep quality among shift-work nurses: A systematic review and meta-analysis
Jiwon Kang, Wonjung Noh, Youngjin Lee
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Work-related Characteristics and Sleep Quality of Nurses in Comprehensive Nursing Care Units of Small-medium Sized Hospitals
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Journal of Korean Academy of Fundamentals of Nursing.2019; 26(4): 260. CrossRef

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