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"Seung Wan Kang"

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"Seung Wan Kang"

Original Articles
Differences in Sleep, Fatigue, and Neurocognitive Function between Shift Nurses and Non-shift Nurses
Yoo Jin Jung, Seung Wan Kang
Korean J Adult Nurs 2017;29(2):190-199.   Published online April 30, 2017
DOI: https://doi.org/10.7475/kjan.2017.29.2.190
PURPOSE
The purpose of this study was to investigate the differences in sleep, fatigue, and neurocognitive function between shift nurses and non-shift nurses.
METHODS
A cross-sectional descriptive study design was used. A total of 100 nurses participated in the study. 50 were shift nurses and the remaining 50 were non-shift nurses. The Pittsburgh Sleep Quality Index, Fatigue Severity Scale, and a computerized neurocognitive function test (CNS Vital Signs-VS4) were administered to the subjects to assess verbal and visual memory, processing speed, reaction time, and simple attention. After the last night shift, the shift nurse conducted the study at around 8:00 am and the non-shift nurse participated after work.
RESULTS
Compared to non-shift nurses, shift nurses had a significantly lower sleep quality (p=.002) and higher fatigue (p=.001) and achieved significantly lower scores on verbal memory (p=.001), processing speed (p=.003), and reaction time (p=.018). There were significant correlations between sleep quality and processing speed (p=.042), and reaction time (p=.015) of shift nurses who were bad sleepers.
CONCLUSION
This study findings suggest shift work could interfere with cognitive function. Personal and organizational programs should be developed to support their sleep and neurocognitive function.

Citations

Citations to this article as recorded by  
  • Relationships among meal time, break time and workplace characteristics of nurses who work day, evening and night shifts: a cross-sectional study
    Hyoung Eun Chang
    International Journal of Occupational Safety and Ergonomics.2024; 30(1): 312.     CrossRef
  • Sleep quality and hours of nurses according to shift type and schedule: A cross-sectional study
    Hyoung Eun Chang
    Chronobiology International.2024; 41(12): 1591.     CrossRef
  • Factors Associated with Quality of Life of Clinical Nurses: A Cross-Sectional Survey
    Seul-Ki Park, Kyoung-Sook Lee
    International Journal of Environmental Research and Public Health.2023; 20(3): 1752.     CrossRef
  • Sleep Disorder Experience of Shift Work Nurses: A Phenomenological Study
    Yoon-Jung KOO
    THE JOURNAL OF FISHERIES AND MARINE SCIENCES EDUCATION.2023; 35(1): 47.     CrossRef
  • Mediating effects of fatigue on the relationship between sleep quality and the quality of life of shift-working nurses
    Jeongwon Yeom, Insun Yeom
    Chronobiology International.2023; 40(4): 450.     CrossRef
  • Factors influencing burnout among Korean nurses caring for patients with COVID-19: a cross-sectional study
    Seon Yeong Lee, Mi-Ae You, Jeong Ah Ahn, Eun Ji Seo
    Journal of Korean Biological Nursing Science.2023; 25(4): 276.     CrossRef
  • Influences of Emotional Labor and Work-Life Balance on Organizational Commitment among Nurses in Comprehensive Nursing Care Service Wards
    Young-Yi Yoon, Hye-Young Jang
    Journal of Korean Academy of Nursing Administration.2022; 28(2): 100.     CrossRef
  • Factors Associated with Gastrointestinal Symptoms among Rotating Shift Nurses in South Korea: A Cross-Sectional Study
    Sun-Kyung Hwang, Yun-Ji Lee, Min-Eun Cho, Bo-Kyoung Kim, Yea-In Yoon
    International Journal of Environmental Research and Public Health.2022; 19(16): 9795.     CrossRef
  • The Influence of Infection Control Fatigue and Compassion Competence on Disaster Nursing Core Competencies of Nurses at COVID-19 Designated Hospitals
    Jae-Hyun Ha, Hyun-Ju Lee, Ki-Ryeon Kim
    Journal of Korean Academy of Fundamentals of Nursing.2022; 29(4): 461.     CrossRef
  • Nurses’ steps, distance traveled, and perceived physical demands in a three-shift schedule
    Hyoung Eun Chang, Sung-Hyun Cho
    Human Resources for Health.2022;[Epub]     CrossRef
  • Factors Influencing the Performance of Person-centered Care Among Nurses in Designated COVID-19 Hospitals
    Hyun-Joung Yun, Jaehee Jeon
    Korean Journal of Adult Nursing.2022; 34(4): 413.     CrossRef
  • Sleep analysis in emergency nurses’ department
    Carmen Juan-García, María Plaza-Carmona, Nélida Fernández-Martínez
    Revista da Associação Médica Brasileira.2021; 67(6): 862.     CrossRef
  • Factors Affecting Physical and Mental Fatigue among Female Hospital Nurses: The Korea Nurses’ Health Study
    Hee Jung Jang, Oksoo Kim, Sue Kim, Mi Sun Kim, Jung Ah Choi, Bohye Kim, Hyunju Dan, Heeja Jung
    Healthcare.2021; 9(2): 201.     CrossRef
  • The Influence of Burnout on Patient Safety Management Activities of Shift Nurses: The Mediating Effect of Compassion Satisfaction
    I Seul Ryu, JaeLan Shim
    International Journal of Environmental Research and Public Health.2021; 18(22): 12210.     CrossRef
  • Relationship between fatigue severity scale and occupational injury in Korean workers
    Hyeonwoo Ju, Hwan-Cheol Kim, Sung Wook Jang, Youna Won, Shin-Goo Park, Jong-Han Leem
    Annals of Occupational and Environmental Medicine.2021;[Epub]     CrossRef
  • Health Promotion Behaviors, Subjective Health Status, and Job Satisfaction in Shift Work Nurses based on Type D Personality Pattern
    Nah-Mee Shin, Young Ha Kim
    Journal of Korean Academy of Nursing Administration.2021; 27(1): 12.     CrossRef
  • Effect of Sleep Disturbance on Fatigue, Sleepiness, and Near-Miss among Nurses in Intensive Care Units
    Gyoung Mi Mun, Choi Su Jung
    Journal of Korean Critical Care Nursing.2020; 13(3): 1.     CrossRef
  • A Study of the Effectiveness Verification of Computer-Based Dementia Assessment Contents (Co-Wis): Non-Randomized Study
    Seung Il Song, Hyun Seok Jeong, Jung Pil Park, Ji Yean Kim, Dai Seg Bai, Gi Hwan Kim, Dong Hoon Cho, Bon Hoon Koo, Hye Geum Kim
    Applied Sciences.2020; 10(5): 1579.     CrossRef
  • The Impact of Social Jetlag on Sleep Quality among Nurses: A Cross-Sectional Survey
    Hyeonjin Kang, Miyoung Lee, Sun Joo Jang
    International Journal of Environmental Research and Public Health.2020; 18(1): 47.     CrossRef
  • Factors Affecting Sleep Quality of Clinical Nurses Working in a Hospital
    Minjeong An, JinShil Kim, Seongkum Heo, Seon Hee Kim, Yoon Young Hwang
    Korean Journal of Adult Nursing.2018; 30(2): 126.     CrossRef
  • 93 View
  • 3 Download
  • 20 Crossref
  • 23 Scopus
Relationship among Sleep Quality, Heart Rate Variability, Fatigue, Depression, and Anxiety in Adults
Ju Ah Kim, Seung Wan Kang
Korean J Adult Nurs 2017;29(1):87-97.   Published online February 28, 2017
DOI: https://doi.org/10.7475/kjan.2017.29.1.87
PURPOSE
The purpose of this study was to investigate the relationship among sleep quality, heart rate variability (HRV), fatigue, depression, and anxiety reported by Korean adults.
METHODS
A cross-sectional study of 208 adults aged 20~60 years was conducted using a short-term HRV analysis and self-reported questionnaires of Pittsburgh Sleep Quality Index (PSQI), Fatigue Severity Scale, Beck Depression Inventory, and State Trait Anxiety Inventory.
RESULTS
Subjects with good sleep quality (PSQI score≤5) had higher HRV total power (t=2.03, p=.043) and high-frequency (t=2.04, p=.043) with lower fatigue (t=−4.08, p < .001), depressive mood (t=−3.66, p < .001), and trait anxiety (t=−3.84, p < .001) than subjects with poor sleep quality. Poor sleep quality was negatively correlated with HRV total power (r=−.17, p=.016), high-frequency (r=−.14, p=.049), and positively fatigue (r=.39, p < .001), depression (r=.44, p < .001), state anxiety (r=.23, p=.001) and trait anxiety (r=.34, p < .001).
CONCLUSION
The results indicated that sleep quality is correlated with HRV which reflects the activities of the autonomic nerve system, fatigue, depression, and anxiety in adults.

Citations

Citations to this article as recorded by  
  • Mediating Effect of Sleep Discomfort in the Relationship between Tinnitus Distress and Depression: A Cross-sectional Study
    Woo Joung Joung
    Korean Journal of Adult Nursing.2024; 36(3): 251.     CrossRef
  • Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation
    Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Tae Joon Jun, Young-Hak Kim
    BMC Medical Informatics and Decision Making.2024;[Epub]     CrossRef
  • Seasonal Forest Changes of Color and Temperature: Effects on the Mood and Physiological State of University Students
    Eunjin Kim, Hwayong Lee
    International Journal of Environmental Research and Public Health.2023; 20(14): 6338.     CrossRef
  • The relationship between stress and sleep quality: The mediating effect of fatigue and dizziness among patients with cardiovascular disease
    Hwan-Cheol Park, Jihyun Oh
    Medicine.2023; 102(20): e33837.     CrossRef
  • Changes in the Circadian Rhythm of High-Frequency Heart Rate Variability Associated With Depression
    Deokjong Lee, Changho Han, Hyungjun Kim, Jae-Sun Uhm, Dukyong Yoon, Jin Young Park
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Correlations between Sleep Quality and Heart Rate Variability, Tongue Diagnosis, and Korean Medical Questionnaires
    Hyeyoon Shim, Jeong Hwan Park, Sanghun Lee, Hojun Kim
    Journal of Korean Medicine Rehabilitation.2022; 32(1): 73.     CrossRef
  • Relationship Between Anxiety and Heart Rate Variability in Elderly Insomnia Patients
    Jin Won Seo, Minjeong Kim, Hyerin Gu, Hyeyeon Jang, Seog Ju Kim
    Chronobiology in Medicine.2022; 4(4): 168.     CrossRef
  • Research on Psycological and Physiological Reaction Evaluation According to Temperature and Airflow of Air Conditioning
    Jae-Kyun LEE, Dong-Gyu KIM, Jong-Soo KUM
    JOURNAL OF FISHRIES AND MARINE SCIENCES EDUCATION.2021; 33(2): 388.     CrossRef
  • Association Between Age and Sleep Quality: Findings From a Community Health Survey
    Minjung Kim, Yoo-Hyun Um, Tae-Won Kim, Sung-Min Kim, Ho-Jun Seo, Jong-Hyun Jeong, Jihyung Lee, Suhyung Kim, In Hee Cho, Suk-Young Kim, Seung-Chul Hong
    Sleep Medicine Research.2021; 12(2): 155.     CrossRef
  • OkenReader: ML-based classification of the reading patterns using an Apple iPad
    V. Anisimov, K. Сhernozatonsky, A. Pikunov, M. Raykhrud, A. Revazov, K. Shedenko, D. Zhigulskaya, S. Zuev
    Procedia Computer Science.2021; 192: 1944.     CrossRef
  • Comparative Study on the Measurement and Analysis Methods of Heart Rate Variability in Human Body for Occupants’ Thermal Comfort Evaluation by Considering Physiological Response
    JaeHan Lim
    Journal of the Korean Solar Energy Society.2021; 41(3): 79.     CrossRef
  • The Mediating Role of Visual Stimuli From Media Use at Bedtime on Psychological Distress and Fatigue in College Students: Cross-Sectional Study
    Yuan Guan, Wenjie Duan
    JMIR Mental Health.2020; 7(3): e11609.     CrossRef
  • Effect of Sleep Quality on Fatigue and Quality of Life : a Sasang Constitutional Medicine Perspective
    Ji-Eun Park, Sujeong Mun, Siwoo Lee
    Journal of Physiology & Pathology in Korean Medicine.2020; 34(1): 37.     CrossRef
  • Systematic Review of the Pittsburgh Sleep Quality Index used for Measuring Sleep Quality among Adults with Trauma Experiences
    Go-Un Kim, Ju Hee Lee
    Korean Journal of Adult Nursing.2019; 31(4): 337.     CrossRef
  • Differences of Stress, Sleep Quality and Metabolic Syndrome by Prolonged Fatigue in Early Adulthood
    Bok Nam Seo, Inja Kim
    Korean Journal of Adult Nursing.2019; 31(2): 202.     CrossRef
  • Stress, Pain, and Nursing Needs of Surgical Patients under General Anesthesia in the Recovery Room
    Jihyun Jo, Minkyung Gu, Sohyune Sok
    Korean Journal of Adult Nursing.2019; 31(3): 249.     CrossRef
  • A longitudinal analysis of the relationships among daytime dysfunction, fatigue, and depression in college students
    Eun-Jung Shim, Hae-lim Noh, Jungmin Yoon, Han sol Mun, Bong-Jin Hahm
    Journal of American College Health.2019; 67(1): 51.     CrossRef
  • 44 View
  • 4 Download
  • 17 Crossref
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