DOI: https://doi.org/10.14710/dmj.v14i2.47701

The Sleep Quality Cost of Work-Related Social Restriction Policy Amidst Covid-19 Pandemic

Irhamni Irhamni orcid  -  Undergraduate Student, Faculty of Medicine, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Muflihatul Muniroh  -  Department of Physiology, Faculty of Medicine, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Neni Susilaningsih  -  Department of Anatomy-Histology, Faculty of Medicine, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
*Tanjung Ayu Sumekar orcid  -  Department of Psychiatry, Faculty of Medicine, Universitas Diponegoro/Diponegoro National Hospital, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia

Citation Format:
Abstract

 

 Background: The COVID-19 pandemic-related social restriction policy has a spillover effect on sleep quality. Sleep quality worsened after the social restriction policy was implemented, followed by an improved sleep quality longitudinal trajectory. Previous studies have focused on the pre-pandemic and post-implementation impacts of social restrictions on sleep quality, but not after social restrictions were lifted. Objective: Evaluate the sleep quality after the ease of the COVID-19 pandemic-related social restriction policy. Methods: We recruited voluntary academic staff who lived in Indonesia, had no leave during the work from home (WFH) period, and were non-shift workers to participate in the study. We administered the Pittsburgh Sleep Quality Index (PSQI), Sleep Hygiene Index, Connor-Davidson Resilience Scale, Reduced Morning-Eveningness, and micro-Munich Chronotype Questionnaires. We additionally attempted to get the subject to recall their sleep quality one year after the pandemic. The repeated measure of sleep quality was analyzed using a linear mixed-effect model, and the determinant factors of sleep quality in the WFO period were analyzed using a linear model. Results: A total of 52 academic staff participated in this study. We found non-significant overall PSQI score increments between the two periods (β = 0.20, p-value > 0.05). In addition, we found heterogeneity in sleep quality trajectories among subjects. On the other hand, sleep hygiene, individual resilience, and marital status significantly impact sleep quality among academic staff in the WFO period. Conclusion: There was no difference in sleep quality between the two time periods. The study highlighted the significant influence of sleep hygiene, resilience, and marital status on sleep quality among academic staff during the WFO period.

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Instrument
Ethical Clearance
Subject
Type Research Instrument
  Download (320KB)    Indexing metadata
Keywords: Sleep quality; COVID-19; work from home; work from office

Article Metrics:

Article Info
Section: Original Articles
Language : EN
Recent articles
The Modified Nutrition Risk in Critically III (mNUTRIC) Score associated with Clinical Outcome and Length of Stay in Intensive Care Unit (ICU) Patients The Sleep Quality Cost of Work-Related Social Restriction Policy Amidst Covid-19 Pandemic CORRELATION BETWEEN NEUTROPHIL-LYMPHOCYTE RATIO AND LIPID PROFILE IN TYPE-2 DIABETES MELLITUS Management of an Oral Ranula in a HIV positive patient: Case report The Efficacy of 0.5 Gram NaCl Capsule in the Treatment of Umbilical Granuloma in Neonates: A Case Report Renal Dose Adjustment Management for Herpes Zoster in Immunocompromised Patient with Renal Impairment: A Case Report and Literature Review More recent articles
  1. Setiawaty V, Kosasih H, Mardian Y, Ajis E, Prasetyowati EB, Karyana M. The Identification of First COVID-19 Cluster in Indonesia. Am J Trop Med Hyg 2020; 103: 2339–2342
  2. Aisyah DN, Mayadewi CA, Diva H, Kozlakidis Z, Siswanto, Adisasmito W. A spatial-temporal description of the SARS-CoV-2 infections in Indonesia during the first six months of outbreak. PLoS One 2020; 15: e0243703
  3. Djalante R, Lassa J, Setiamarga D, Sudjatma A, Indrawan M, Haryanto B et al. Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020. Prog Disaster Sci 2020; 6: 100091
  4. Ayuningtyas D, Haq HU, Utami RRM, Susilia S. Requestioning the Indonesia Government’s Public Policy Response to the COVID-19 Pandemic: Black Box Analysis for the Period of January–July 2020. Front Public Heal 2021; 9: 454
  5. Peraturan Pemerintah Republik Indonesia Nomor 21 Tahun 2020.
  6. Chirico F, Zaffina S, Di Prinzio RR, Giorgi G, Ferrari G, Capitanelli I et al. Working from home in the context of COVID-19: A systematic review of physical and mental health effects on teleworkers. J Heal Soc Sci 2021; 6: 319–332
  7. Vyas L, Butakhieo N. The impact of working from home during COVID-19 on work and life domains: an exploratory study on Hong Kong. Policy Des Pract 2021; 4: 59–76
  8. Lo K, Stephenson M, Lockwood C. Analysis of heterogeneity in a systematic review using meta-regression technique. JBI Evid Implement 2019; 17: 131–142
  9. Ghorbani A, Dechesne F, Dignum V, Jonker C. Enhancing ABM into an inevitable tool for policy analysis. J Policy Complex Syst 2014; 1: 61–76
  10. Grandner MA, Fernandez F-X. The translational neuroscience of sleep: A contextual framework. Science (80- ) 2021; 374: 568–573
  11. Morbée S, Beeckman M, Loeys T, Waterschoot J, Cardon G, Haerens L et al. An examination of the reciprocal associations between physical activity and anxiety, depressive symptoms, and sleep quality during the first 9 weeks of the COVID-19 pandemic in Belgium. Ment Health Phys Act 2023; 24: 100500
  12. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989; 28: 193–213
  13. Åkerstedt T, Garefelt J, Richter A, Westerlund H, Magnusson Hanson LL, Sverke M et al. Work and Sleep—A Prospective Study of Psychosocial Work Factors, Physical Work Factors, and Work Scheduling. Sleep 2015; 38: 1129–1136
  14. Marelli S, Castelnuovo A, Somma A, Castronovo V, Mombelli S, Bottoni D et al. Impact of COVID-19 lockdown on sleep quality in university students and administration staff. J Neurol 2021; 268: 8–15
  15. Salfi F, Amicucci G, Corigliano D, Viselli L, D’Atri A, Tempesta D et al. Two years after lockdown: Longitudinal trajectories of sleep disturbances and mental health over the COVID-19 pandemic, and the effects of age, gender and chronotype. J Sleep Res 2022; : e13767
  16. Gao C, Scullin MK. Sleep health early in the coronavirus disease 2019 (COVID-19) outbreak in the United States: integrating longitudinal, cross-sectional, and retrospective recall data. Sleep Med 2020; 73: 1–10
  17. Fink A. How to Conduct Surveys: A Step-by-Step Guide. 5th ed. SAGE Publications, Inc.: Thousand Island, CA, 2013
  18. Sharma R. The Family and Family Structure Classification Redefined for the Current Times. J Fam Med Prim care 2013; 2: 306–310
  19. Danielsson K, Sakarya A, Jansson-Fröjmark M. The reduced Morningness–Eveningness Questionnaire: Psychometric properties and related factors in a young Swedish population. Chronobiol Int 2019; 36: 530–540
  20. Ghotbi N, Pilz LK, Winnebeck EC, Vetter C, Zerbini G, Lenssen D et al. The µMCTQ: An Ultra-Short Version of the Munich ChronoType Questionnaire. J Biol Rhythms 2019; 35: 98–110
  21. Mastin DF, Bryson J, Corwyn R. Assessment of Sleep Hygiene Using the Sleep Hygiene Index. J Behav Med 2006; 29: 223–227
  22. Connor KM, Davidson JRT. Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depress Anxiety 2003; 18: 76–82
  23. Gorgoni M, Scarpelli S, Mangiaruga A, Alfonsi V, Bonsignore MR, Fanfulla F et al. Persistence of the Effects of the COVID-19 Lockdown on Sleep: A Longitudinal Study. Brain Sci 2021; 11: 1520
  24. Garcia TP, Marder K. Statistical Approaches to Longitudinal Data Analysis in Neurodegenerative Diseases: Huntington’s Disease as a Model. Curr Neurol Neurosci Rep 2017; 17: 14
  25. Riva E, Terraneo M, Lucchini M, Gerosa T. The prevalence of insomnia in different COVID-19 policy phases: Longitudinal evidence from ITA.LI – Italian Lives. BMC Public Health 2022; 22: 1657
  26. Kocevska D, Blanken TF, Van Someren EJW, Rösler L. Sleep quality during the COVID-19 pandemic: not one size fits all. Sleep Med 2020; 76: 86–88
  27. Schober P, Vetter TR. Repeated Measures Designs and Analysis of Longitudinal Data: If at First You Do Not Succeed-Try, Try Again. Anesth Analg 2018; 127: 569–575
  28. Qi H, Liu R, Zhou J, Feng Y, Feng L, Feng Z et al. Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study. Sleep Breath 2023
  29. Chehri A, Shetabi M, Khazaie H, Zakiei A. Sleep hygiene and sleep quality in Iranian adolescents during the COVID-19 pandemic. BMC Psychol 2023; 11: 125
  30. Chow CM. Sleep Hygiene Practices: Where to Now? Hygiene. 2022; 2: 146–151
  31. Kline C. Sleep Quality. In: Gellman MD, Turner JR (eds). Encyclopedia of Behavioral Medicine. Springer New York: New York, NY, 2013, pp 1811–1813
  32. Gorgoni M, Scarpelli S, Mangiaruga A, Alfonsi V, Bonsignore MR, Fanfulla F et al. Pre-sleep arousal and sleep quality during the COVID-19 lockdown in Italy. Sleep Med 2021; 88: 46–57
  33. Lenzo V, Sardella A, Musetti A, Freda MF, Lemmo D, Vegni E et al. The Relationship Between Resilience and Sleep Quality During the Second Wave of the COVID-19 Pandemic: A Longitudinal Study. Nat Sci Sleep 2022; 14: 41–51
  34. Gargiulo AT, Peterson LM, Grafe LA. Stress, coping, resilience, and sleep during the COVID-19 pandemic: A representative survey study of US adults. Brain Behav 2021; 11: e2384
  35. Stokols D, Lejano RP, Hipp J. Enhancing the Resilience of Human–Environment Systems: a Social Ecological Perspective. Ecol Soc 2013; 18: 7
  36. Walsh F. Family resilience: A developmental systems framework. Eur J Dev Psychol 2016; 13: 313–324
  37. Wang J, Zhang X, Simons SR, Sun J, Shao D, Cao F. Exploring the bi-directional relationship between sleep and resilience in adolescence. Sleep Med 2020; 73: 63–69
  38. August KJ. Marital Status, Marital Transitions, and Sleep Quality in Mid to Late Life. Res Aging 2021; 44: 301–311
  39. Das S, Roy RN, Das DK, Chakraborty A, Mondal R. Sleep Quality and its various correlates: A community-based study among geriatric population in a community development block of Purba Bardhaman district, West Bengal. J Fam Med Prim Care 2020; 9: 1510–1516
  40. Mousavi Z, Tran M-L, Borelli JL, Dent AL, Kuhlman KR. The moderating role of gender in the association between quality of social relationships and sleep. J Behav Med 2022; 45: 378–390
  41. Furutani M, Guo T, Hall K, Zhou X. Relationship between mental health and the quality of sleep during the first self-restraint in Japanese workers: a cross-sectional survey. Heal Psychol Behav Med 2022; 10: 748–761
  42. Stratton SJ. Population Research: Convenience Sampling Strategies. Prehosp Disaster Med 2021; 36: 373–374
  43. Andrade C. The Inconvenient Truth About Convenience and Purposive Samples. Indian J Psychol Med 2020; 43: 86–88
  44. Jager J, Putnick DL, Bornstein MH. More than Just Convenient: The Scientific Merits of Homogeneous Convenience Samples. Monogr Soc Res Child Dev 2017; 82: 13–30

Last update:

No citation recorded.

Last update:

No citation recorded.