Journal of Korean Academy of Nursing

Original Article

Predictors of Blood and Body Fluid Exposure and Mediating Effects of Infection Prevention Behavior in Shift-Working Nurses: Application of Analysis Method for Zero-Inflated Count Data: Ryu, Jae Geum , Smi, Choi-Kwon; J Korean Acad Nurs 2020;50(5):658-670. Published online October 31, 2020; DOI: https://doi.org/10.4040/jkan.20025

Purpose
This study aimed to identify the predictors of blood and body fluid exposure (BBFE) in multifaceted individual (sleep disturbance and fatigue), occupational (occupational stress), and organizational (hospital safety climate) factors, as well as infection prevention behavior. We also aimed to test the mediating effect of infection prevention behavior in relation to multifaceted factors and the frequency of BBFE.
Methods
This study was based on a secondary data analysis, using data of 246 nurses from the Shift Work Nurses’ Health and Turnover study. Based on the characteristics of zero-inflated and over-dispersed count data of frequencies of BBFE, the data were analyzed to calculate zero-inflated negative binomial regression within a generalized linear model and to test the mediating effect using SPSS 25.0, Stata 14.1, and PROCESS macro.
Results
We found that the frequency of BBFE increased in subjects with disturbed sleep (IRR = 1.87, p = .049), and the probability of non-BBFE increased in subjects showing higher infection prevention behavior (IRR = 15.05, p = .006) and a hospital safety climate (IRR = 28.46, p = .018). We also found that infection prevention behavior had mediating effects on the occupational stress-BBFE and hospital safety climate-BBFE relationships.
Conclusion
Sleep disturbance is an important risk factor related to frequency of BBFE, whereas preventive factors are infection prevention behavior and hospital safety climate. We suggest individual and systemic efforts to improve sleep, occupational stress, and hospital safety climate to prevent BBFE occurrence.

Citations

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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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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

475 View
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