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Abstract
OBJECTIVES Although the demands and stress of teaching are generally recognized, little is known about the prevalence and nature of insomnia symptoms in teachers. This scoping study investigated the following questions: How prevalent are insomnia symptoms in teachers? What biopsychosocial variables are associated with insomnia symptoms in teachers? What, if any, interventions for insomnia symptoms in teachers have been studied? METHOD We searched Medline, PsycINFO, Embase, CINAHL, Education Source, and ERIC for original peer-reviewed research on school teachers (kindergarten through high school) and insomnia symptoms (self-reported trouble falling or staying asleep). RESULTS We identified 33 relevant articles from 15 countries. The literature was heterogeneous and generally of low quality with respect to the measurement of insomnia. Based on studies that met validity and reliability criteria, 36-61% of teachers reported insomnia symptoms. Associated factors included: being female, classroom violence, low job satisfaction, pain, depression, and rumination. One online intervention, which included stimulus control, sleep restriction, and techniques for reducing rumination, provided evidence of efficacy. CONCLUSION Despite the importance of teachers and their work, high-quality research on insomnia in teachers is lacking. Research in this area is sorely needed. Studies should investigate insomnia symptoms over the school year, identify antecedents of insomnia, and develop interventions with the ultimate goals of understanding, preventing, and treating insomnia symptoms in teachers.
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Affiliation(s)
- Madelaine Gierc
- Department of Psychology, Queen's University, Kingston, Ontario, Canada
- School of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Robyn A Jackowich
- Department of Psychology, Queen's University, Kingston, Ontario, Canada
| | - Sandra Halliday
- Queen's University Library, Queen's University, Kingston, Ontario, Canada
| | - Judith R Davidson
- Department of Psychology, Queen's University, Kingston, Ontario, Canada
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2
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Wahlstrom KL, Plog AE, McNally J, Meltzer LJ. Impact of Changing School Start Times on Teacher Sleep Health and Daytime Functioning. THE JOURNAL OF SCHOOL HEALTH 2023; 93:128-134. [PMID: 36336842 DOI: 10.1111/josh.13254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 08/03/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND The benefits of delaying school start times for secondary students are well-established. However, no previous study has considered how changing school start times impacts sleep and daytime functioning for K-12 teachers. METHODS Teachers in a large suburban school district completed 3 annual surveys (pre-change n = 1687, post-change n = 1857, follow-up n = 1812) assessing sleep and daytime functioning. RESULTS With delayed start times, high school teachers had later rise times (high school [HS]: 28 minutes, middle school [MS]: 14 minutes), increased sleep duration (HS: 22 minutes, MS: 13 minutes), and improved daytime functioning. Improvements for middle school teachers were noted but were not statistically significant. With earlier start times, elementary teachers reported earlier bedtimes (9 minutes) and wake times (9 minutes), with no changes in sleep duration or daytime functioning. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY Today's school health policies often focus on wellness. Findings from this study reveal that the policy of healthy school start times can have a significant, positive impact on adults who teach in later-starting secondary schools. Later school start times for secondary teachers provide greater parity with their elementary colleagues in terms of sleep opportunity. CONCLUSIONS This study extends previous findings on how the policy of later secondary school start times improves the health and well-being of adolescents, highlighting that healthy start times contribute to increased sleep opportunity for MS and HS teachers and improved daytime functioning for HS teachers, with changed start times having no significant negative effect on elementary school teachers.
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Affiliation(s)
- Kyla L Wahlstrom
- Department of Organizational Leadership, Policy, and Development, University of Minnesota, Minneapolis, MN
| | - Amy E Plog
- Wellness Department, Cherry Creek School District, Greenwood Village, CO
| | - Janise McNally
- Wellness Department, Cherry Creek School District, Greenwood Village, CO
| | - Lisa J Meltzer
- Department of Pediatrics, National Jewish Health, Denver, CO
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3
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Hailu Tesfaye A, Alemayehu M, Abere G, Kabito GG. Risk factors for the prevalence of poor sleep quality in lecturers during COVID-19 pandemic in Ethiopia: an institution-based cross-sectional study. BMJ Open 2022; 12:e066024. [PMID: 36198464 PMCID: PMC9534775 DOI: 10.1136/bmjopen-2022-066024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE This study was conducted to assess the prevalence and risk factors of poor sleep quality (SQ) among the academic staff at the University of Gondar, Northwestern Ethiopia. DESIGN An institution-based cross-sectional study was conducted from March to April 2021. A validated, self-administered, standardised Pittsburgh Sleep Quality Index (PSQI) was used to quantify the amount of self-reported poor SQ. The collected data were entered into EpiData V.4.6 and analysed using Stata V.14 software. Binary logistic regressions were computed to determine the association between variables. The association was determined using an adjusted OR (AOR) with a 95% CI at a p value of <0.05. SETTING The study was conducted at the University of Gondar, Northwestern Ethiopia. PARTICIPANTS A total of 607 lecturers participated in this study. OUTCOME MEASURES The primary outcome is the prevalence of poor SQ, which was measured using the PSQI. RESULTS Overall response rate was 95.60% (N=607). The age of the participants ranges from 21 to 70 with a mean of 32.39 (SD±6.80) years. The magnitude of poor SQ during the COVID-19 pandemic in the last month was 60.30% (95% CI (56.28% to 64.21%)). Working greater than 10 hours per day (AOR=2.19, 95% CI (1.16 to 4.27)), electronic device use before bedtime (AOR=1.53, 95% CI (1.04 to 2.27)), high-risk perception of COVID-19 infections (AOR=1.60, 95% CI (1.04 to 2.46)) and perceived job stress (AOR=2.15 (95% CI (1.50 to 3.08)) were risk factors for poor SQ. CONCLUSION The study revealed that the prevalence of poor SQ was high during the COVID-19 pandemic. The finding highlights the importance of optimising the working hours per day, minimising electronic device use before bedtime, promoting risk perception toward COVID-19 infection and developing workplace coping strategies for stress, which play a substantial role in minimising poor SQ.
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Affiliation(s)
- Amensisa Hailu Tesfaye
- Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
| | - M Alemayehu
- Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
| | - Giziew Abere
- Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
| | - Gebisa Guyasa Kabito
- Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
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Marquez NM, Saintila J, Castellanos-Vazquez AJ, Dávila-Villavicencio R, Turpo-Chaparro J, Sánchez-Tarrillo JA, Salinas Arias SA, Calizaya-Milla YE, Morales-García WC. Telehealth-based interventions on lifestyle, body mass index, and glucose concentration in university staff during the coronavirus disease 2019 pandemic: A pre-experimental study. Digit Health 2022; 8:20552076221129719. [PMID: 36211802 PMCID: PMC9537489 DOI: 10.1177/20552076221129719] [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: 07/12/2022] [Accepted: 09/13/2022] [Indexed: 11/15/2022] Open
Abstract
Background: The coronavirus disease 2019 pandemic has impacted the health of the population. Technological advances become alternative tools for the promotion of lifestyle and prevention of non-communicable diseases in university personnel. Objective: This study analyzed the effect of an intervention based on a telehealth program and investigated its efficacy in improving lifestyle, body mass index, and glucose concentration in university staff during the coronavirus disease 2019 pandemic. Methods: A pre-experimental study was conducted between August and December 2021 on 100 workers of a private university located in Tarapoto, Peru. Information was collected on lifestyle practices and beliefs, body mass index, and glucose contraction before and after the intervention. After the intervention, 78 participants were analyzed; 22 workers did not respond to the invitation. Results: Comparison between pretest and follow-up showed an increase in lifestyle practices and beliefs (from 93.33 ± 9.44 to 96.23 ± 9.32, p < 0.01), although this value is considered an unhealthy lifestyle. Moreover, a decrease in body mass index (from 25.23 ± 3.08 to 24.98 ± 2.98, p < 0.05) and glucose concentration (from 98.35 ± 6.70 to 97.45 ± 5.61, p < 0.01) was observed. Conclusion: Telehealth-based educational interventions could be effective in university staff during the coronavirus disease 2019 pandemic, which, in turn, would support improved lifestyles and adequate body mass index and glucose levels.
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Affiliation(s)
- Neidis M. Marquez
- Unidad de Salud Pública, Escuela de Posgrado, Universidad Peruana Unión, Lima, Perú
| | - Jacksaint Saintila
- Escuela de Medicina Humana, Universidad Señor de Sipán, Chiclayo, Perú,Jacksaint Saintila, Escuela de Medicina
Humana, Universidad Señor de Sipán, Km 5, Carretera Pimentel, Chiclayo, Perú.
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Nathan N, Murawski B, Hope K, Young S, Sutherland R, Hodder R, Booth D, Toomey E, Yoong SL, Reilly K, Tzelepis F, Taylor N, Wolfenden L. The Efficacy of Workplace Interventions on Improving the Dietary, Physical Activity and Sleep Behaviours of School and Childcare Staff: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17144998. [PMID: 32664554 PMCID: PMC7400238 DOI: 10.3390/ijerph17144998] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 07/04/2020] [Accepted: 07/06/2020] [Indexed: 01/07/2023]
Abstract
There is a need for effective interventions that improve the health and wellbeing of school and childcare staff. This review examined the efficacy of workplace interventions to improve the dietary, physical activity and/or sleep behaviours of school and childcare staff. A secondary aim of the review was to assess changes in staff physical/mental health, productivity, and students’ health behaviours. Nine databases were searched for controlled trials including randomised and non-randomised controlled trials and quasi-experimental trials published in English up to October 2019. PRISMA guidelines informed screening and study selection procedures. Data were not suitable for quantitative pooling. Of 12,396 records screened, seven articles (based on six studies) were included. Most studies used multi-component interventions including educational resources, work-based wellness committees and planned group practice (e.g., walking groups). Multiple outcomes were assessed, findings were mixed and on average, there was moderate risk of bias. Between-group differences in dietary and physical activity behaviours (i.e., fruit/vegetable intake, leisure-time physical activity) favoured intervention groups, but were statistically non-significant for most outcomes. Some of the studies also showed differences favouring controls (i.e., nutrient intake, fatty food consumption). Additional robust studies testing the efficacy of workplace interventions to improve the health of educational staff are needed.
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Affiliation(s)
- Nicole Nathan
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
- Correspondence:
| | - Beatrice Murawski
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Kirsty Hope
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Sarah Young
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Rebecca Hodder
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Debbie Booth
- University Library, Academic Division, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia;
| | - Elaine Toomey
- Health Behaviour Change Research Group, School of Psychology, National University of Ireland, University Road, Galway H91 TK33, Ireland;
| | - Sze Lin Yoong
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Kathryn Reilly
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Flora Tzelepis
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Natalie Taylor
- Cancer Research Division, Cancer Council New South Wales, 153 Dowling St, Woolloomooloo, NSW 2011, Australia;
- School of Health Sciences, University of Sydney, Camperdown, NSW 2006, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Area Health Service, Longworth Avenue, Wallsend, NSW 2287, Australia; (S.Y.); (R.S.); (R.H.); (S.L.Y.); (K.R.); (F.T.); (L.W.)
- School of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; (B.M.); (K.H.)
- Priority Research Centre for Health Behaviour, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
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