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Zhao Y, Liu F, Lin P, Tu Z, Wu B. Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model. PLoS One 2024; 19:e0295105. [PMID: 38820459 PMCID: PMC11142611 DOI: 10.1371/journal.pone.0295105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 05/15/2024] [Indexed: 06/02/2024] Open
Abstract
INTRODUCTION AND AIMS In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses. METHODS A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software. RESULTS Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes. CONCLUSIONS Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.
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Affiliation(s)
- Yanyan Zhao
- Department of Nursing, Quanzhou First Hospital, Quanzhou, China
| | - Fuzhi Liu
- Department of Preventive Medicine, School of Health, Quanzhou Medical College, Quanzhou, China
| | - Pingzhen Lin
- Department of Nursing, Quanzhou First Hospital, Quanzhou, China
| | - Zhuote Tu
- Department of Preventive Medicine, School of Health, Quanzhou Medical College, Quanzhou, China
| | - Biyu Wu
- Department of Nursing, Quanzhou First Hospital, Quanzhou, China
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Alqahtani JS, Arowosegbe A, Oyelade T, Aldhahir AM, Alghamdi SM, Alqarni AA, Siraj RA, Alenezi M, Alnaam LY, AlDraiwiesh IA, Alqahtani AS, Algarzae TA, AlRabeeah SM, Naser AY, Alwafi H, Hjazi AM, Alanazi TM, Al Rajeh AM, Alzahrani EM. The effect of cumulative night shift duties on insomnia, fatigue, and mental health in intensive care unit. Heliyon 2024; 10:e31066. [PMID: 38784539 PMCID: PMC11112310 DOI: 10.1016/j.heliyon.2024.e31066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/05/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
Background Night shift duties are crucial in the ICU to ensure care continuity, where critically ill patients require round-the-clock care. However, cumulative night shift duties may disturb circadian rhythm, insomnia, fatigue, and depression, and require further elucidation. Objectives This study aims to examine the negative consequences of various night shift patterns on insomnia, fatigue, and mental health of ICU Workers. Methods A cross-sectional study examined how cumulative night shift duty affects insomnia, fatigue, and mental health in critical care providers (CCPs). Results A total of 1006 participants completed this study between June 2022 and March 2023, including 54.5 % males. About 35 % were between 20 and 30 years of age, and Respiratory Therapists accounted for approximately 46.5 % of the entire sample. Most of our respondents (476; 47 %) reported working night shifts, with a monthly range of 8-15 nights. The prevalence rates for moderate to severe clinical insomnia, fatigue, and moderate to severe depression were 42 %, 48 %, and 32 %, respectively. CCPs working 8-15 nights had a 2-fold risk of clinical insomnia than those working fewer than eight nights with (AOR) and 95 % (CI) of 2.12 and 1.41-3.20, while those working ≥16 nights per month had a greater incidence of clinical insomnia compared to those working <8 nights per month, AOR (CI): 3.09 (1.90-5.03). Only those working ≥16-night shifts per month had a substantially higher fatigue risk compared to those working < 8-night shifts per month, with an AOR (CI) of 1.92 (1.19-3.08). Working 8-15-night shifts per month increases depression risks by 34 % compared to the <8-night shifts group, AOR (CI): 1.34 (0.87-2.08). Those working ≥16-night shifts per month showed a higher depression risk than those working <8-night shifts, AOR (CI): 2.53 (1.53-4.19). Conclusion A cumulative night shift above eight nights per month is linked with an increased risk of insomnia, fatigue, and depression. The risk of these conditions was significantly directly proportional to the number of night shifts performed per month.
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Affiliation(s)
- Jaber S. Alqahtani
- Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, 34313, Saudi Arabia
| | - Abayomi Arowosegbe
- School of Arts & Creative Technologies, University of Bolton, United Kingdom
- Information School, University of Sheffield, Sheffield, S10 2SJ, United Kingdom
| | - Tope Oyelade
- Division of Medicine, University College London, London, NW3 2PF, United Kingdom
| | - Abdulelah M. Aldhahir
- Respiratory Therapy Department, Faculty of Applied Medical Sciences, Jazan University, Jazan, 45142, Saudi Arabia
| | - Saeed M. Alghamdi
- Respiratory Care Program, College of Applied Medical Sciences, Umm Al-Qura University, Makkah, 24382, Saudi Arabia
| | - Abdullah A. Alqarni
- Department of Respiratory Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Rayan A. Siraj
- Respiratory Therapy Department, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
| | - Meshal Alenezi
- Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, 34313, Saudi Arabia
| | - Leen Y. Alnaam
- Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, 34313, Saudi Arabia
| | - Ibrahim A. AlDraiwiesh
- Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, 34313, Saudi Arabia
| | - Abdullah S. Alqahtani
- Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, 34313, Saudi Arabia
| | - Turki A. Algarzae
- Respiratory Care Department, King Fahad Military Medical Complex, Dammam, Saudi Arabia
| | - Saad M. AlRabeeah
- Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, 34313, Saudi Arabia
| | - Abdallah Y. Naser
- Department of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, Isra University, Amman, 11622, Jordan
| | - Hassan Alwafi
- Faculty of Medicine, Umm Al Qura University, 21514, Mecca, Saudi Arabia
| | - Ahmed M. Hjazi
- Department of Medical Laboratory Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Turki M. Alanazi
- Respiratory Therapy Department, King Saud Bin Abdulaziz University for Health Sciences, Alahsa, Saudi Arabia
- King Abdullah International Medical Research Center, Al Ahsa, Saudi Arabia
| | - Ahmed M. Al Rajeh
- Respiratory Therapy Department, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
| | - Eidan M. Alzahrani
- Department of Physical Therapy, Prince Sultan Military College of Health Sciences, Dammam, 34313, Saudi Arabia
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Alameri RA, Almulla HA, Al Swyan AH, Hammad SS. Sleep quality and fatigue among nurses working in high-acuity clinical settings in Saudi Arabia: a cross-sectional study. BMC Nurs 2024; 23:51. [PMID: 38238714 PMCID: PMC10795399 DOI: 10.1186/s12912-023-01693-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/26/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Poor sleep quality is prevalent among nurses worldwide. Around two-thirds of nurses doing shift work are known to experience sleep problems and fatigue. Fatigue and sleep problems are linked to poor performance, impaired alertness, injuries, chronic diseases, compromised healthcare quality, and medical errors, all of which detrimentally impact nurses and threaten patients' safety. This area of research has received insufficient attention in Saudi Arabia; therefore, the purpose of this study was to examine the levels of sleep quality and perceived fatigue and their association among nurses working in acute care settings in comprehensive hospitals in Saudi Arabia. METHODS A descriptive cross-sectional study using the Pittsburgh Sleep Quality Index and Chalder Fatigue Scale. Data was obtained via an online questionnaire that was distributed to nurses using the QuestionPro platform through hospital administrators, social media (WhatsApp), and personal contact. RESULTS A total of 173 nurses completed the online survey. Most participants reported poor sleep quality (n = 127, 73.4%) and severe perceived fatigue (n = 156, 90.2%). Furthermore, the study revealed a significant correlation between the overall sleep disturbance and fatigue global scores (r = 0.57, P < 0.001), indicating that poor sleep quality was significantly associated with higher fatigue levels among the study sample. CONCLUSIONS The current study found a significant association between sleep quality and severe fatigue in nurses working in high acute care settings in Saudi Arabia. It is very clear from the results that nurses are experiencing poor sleep and severe fatigue, which in turn, will negatively impact the nurse's quality of life and patient safety.
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Affiliation(s)
- Rana Ali Alameri
- Fundamentals of Nursing Department, College of Nursing, Imam Abdulrahman Bin Faisal University, King Faisal University, King Faisal Rd, Dammam, 34212, Saudi Arabia.
| | - Hebah A Almulla
- Fundamentals of Nursing Department, College of Nursing, Imam Abdulrahman Bin Faisal University, King Faisal University, King Faisal Rd, Dammam, 34212, Saudi Arabia
| | - Afnan Hamad Al Swyan
- Fundamentals of Nursing Department, College of Nursing, Imam Abdulrahman Bin Faisal University, King Faisal University, King Faisal Rd, Dammam, 34212, Saudi Arabia
| | - Sama S Hammad
- Fundamentals of Nursing Department, College of Nursing, Imam Abdulrahman Bin Faisal University, King Faisal University, King Faisal Rd, Dammam, 34212, Saudi Arabia
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Yin J, Ding Y, Xu F, Zhao L, Gong R, Yang J, Liu Y. Does the timing of intake matter? Association between caffeine intake and depression: Evidence from the National Health and Nutrition Examination Survey. J Affect Disord 2023; 340:362-368. [PMID: 37543113 DOI: 10.1016/j.jad.2023.07.115] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 07/25/2023] [Accepted: 07/31/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND Recent research suggests that caffeine intake is associated with a reduced risk of depression. However, the relationship between caffeine intake during different periods of the day and depression is still unclear. METHODS This cross-sectional study analyzed noninstitutionalized adults from the National Health and Nutrition Examination Survey, with a weighted representation of approximately 218 million US adults. Covariate-adjusted sample-weighted regressions were used to examine associations between caffeine intake and depression in different periods. RESULTS Caffeine intake during non-early morning periods (outside of 5:00-8:00 AM) is associated with a high prevalence of depression (unadjusted OR: 1.08, 95%CI: 1.05-1.11; adjusted OR: 1.03, 95 % CI: 1.00-1.06). Participants who consumed caffeine in the early morning (5:00-8:00 AM) had a lower prevalence of depression compared to participants who did not consume caffeine in the early morning (unadjusted OR: 0.75, 95%CI: 0.67-0.85; adjusted OR: 0.86, 95 % CI: 0.75-0.99). LIMITATIONS Cross-sectional study could not determine the temporal association; patients with depression in this study were not clinically diagnosed with Major Depressive Disorder. CONCLUSIONS Among US adults, early morning caffeine consumers had a lower prevalence of depression than non-consumers; caffeine intake during non-early morning periods is associated with a high prevalence of depression. Our results may suggest the importance of caffeine intake time for depression.
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Affiliation(s)
- Jiahui Yin
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yu Ding
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Feikang Xu
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Leiyong Zhao
- Department of Psychosomatic Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Rongpeng Gong
- Medical School, Exeter University, Exeter, United Kingdom
| | - Jiguo Yang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China.
| | - Yuanxiang Liu
- Department of Neurology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
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