Comparison of Generalized Anxiety and Sleep Disturbance among Frontline and Second-Line Healthcare Workers during the COVID-19 Pandemic
Abstract
1. Introduction
2. Subjects and Methods
2.1. Study Design and Settings
2.2. Selection of Healthcare Workers and Data Collection
2.3. Inclusion and Exclusion Criteria
2.4. Questionnaire
2.5. General Anxiety Disorder-7 (GAD-7) and Pittsburgh Sleep Quality Index (PSQI) Scales
2.6. Statistical Analysis
2.7. Ethics Statement
3. Results
3.1. Generalized Anxiety Disorder-7 (GAD-7)
3.2. Anxiety Levels between Frontline and Second-Line Healthcare Workers
3.3. Anxiety Levels and COVID-19 Involvement
3.4. Pittsburgh Sleep Quality Index (PSQI)
3.5. Sleep Quality and COVID-19 Involvement
4. Discussion
5. Study Strengths and Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Meo, S.A.; Bukhari, I.A.; Akram, J.; Meo, A.S.; Klonoff, D.C. COVID-19 vaccines: Comparison of biological, pharmacological characteristics and adverse effects of Pfizer/BioNTech and Moderna Vaccines. Eur. Rev. Med. Pharmacol. Sci. 2021, 25, 1663–1669. [Google Scholar] [CrossRef] [PubMed]
- Meo, S.A.; Zaidi, S.Z.A.; Shang, T.; Zhang, J.Y.; Al-Khlaiwi, T.; Bukhari, I.A.; Akram, J.; Klonoff, D.C. Biological, molecular and pharmacological characteristics of chloroquine, hydroxychloroquine, convalescent plasma, and remdesivir for COVID-19 pandemic: A comparative analysis. J. King Saud Univ. Sci. 2020, 32, 3159–3166. [Google Scholar] [CrossRef]
- World Health Organization. Coronavirus (COVID-19) Dashboard. Available online: https://covid19.who.int/ (accessed on 30 April 2021).
- Ge, Y.; Sun, S.; Shen, Y. Estimation of case-fatality rate in COVID-19 patients with hypertension and diabetes mellitus in the New York state: A preliminary report. Epidemiol. Infect. 2021, 149, e14. [Google Scholar] [CrossRef] [PubMed]
- Gupta, A.; Nayan, N.; Nair, R.; Kumar, K.; Joshi, A.; Sharma, S.; Singh, J.; Kapoor, R. Diabetes Mellitus and Hypertension Increase Risk of Death in Novel Corona Virus Patients Irrespective of Age: A Prospective Observational Study of Co-morbidities and COVID-19 from India. SN Compr. Clin. Med. 2021, 3, 937–944. [Google Scholar] [CrossRef] [PubMed]
- Lima-Martínez, M.M.; Carrera, B.C.; Madera-Silva, M.D.; Marín, W.; Contreras, M. COVID-19 and diabetes: A bidirectional relationship. Clin. Investig. Arterioscler. 2020. [Google Scholar] [CrossRef]
- Guan, W.J.; Ni, Z.Y.; Hu, Y.; Liang, W.H.; Ou, C.Q. Clinical Characteristics of Coronavirus Disease 2019 in China. N. Engl. J. Med. 2020, 382, 1708–1720. [Google Scholar] [CrossRef]
- Meo, S.A.; Abukhalaf, A.A.; Alomar, A.A.; Sumaya, O.Y.; Sami, W.; Shafi, K.M.; Meo, A.S.; Usmani, A.M.; Akram, J. Effect of heat and humidity on the incidence and mortality due to COVID-19 pandemic in European countries. Eur. Rev. Med. Pharmacol. Sci. 2020, 24, 9216–9225. [Google Scholar] [CrossRef] [PubMed]
- Meo, S.A.; Abukhalaf, A.A.; Alomar, A.A.; Al-Beeshi, I.Z.; Alhowikan, A.; Shafi, K.M.; Meo, A.S.; Usmani, A.M.; Akram, J. Climate and COVID-19 pandemic: Effect of heat and humidity on the incidence and mortality in world’s top ten hottest and top ten coldest countries. Eur. Rev. Med. Pharmacol. Sci. 2020, 24, 8232–8238. [Google Scholar] [CrossRef] [PubMed]
- Meo, S.A.; Abukhalaf, A.A.; Alomar, A.A.; Alessa, O.M.; Sami, W.; Klonoff, D.C. Effect of environmental pollutants PM-2.5, carbon monoxide, and ozone on the incidence and mortality of SARS-COV-2 infection in ten wildfire affected counties in California. Sci. Total. Environ. 2021, 757, 143948. [Google Scholar] [CrossRef]
- Meo, S.A.; Abukhalaf, A.A.; Sami, W.; Hoang, T.D. Effect of environmental pollution PM2.5, carbon monoxide, and ozone on the incidence and mortality due to SARS-CoV-2 infection in London, United Kingdom. J. King Saud Univ. Sci. 2021, 33, 101373. [Google Scholar] [CrossRef]
- Li, W.; Yang, Y.; Liu, Z.H. Progression of Mental Health Services during the COVID-19 Outbreak in China. Int. J. Biol. Sci. 2020, 16, 1732–1738. [Google Scholar] [CrossRef]
- Meo, S.A.; Abukhalaf, A.A.; Alomar, A.A.; Sattar, K.; Klonoff, D.C. COVID-19 Pandemic: Impact of Quarantine on Medical Students’ Mental Wellbeing and Learning Behaviors. Pak. J. Med. Sci. 2020, 36, S43–S48. [Google Scholar] [CrossRef] [PubMed]
- Johnson, S.B.; Butcher, F. Doctors during the COVID-19 pandemic: What are their duties and what is owed to them? J. Med. Ethics 2021, 47, 12–15. [Google Scholar] [CrossRef] [PubMed]
- Xiang, Y.T.; Zhao, Y.J.; Liu, Z.H.; Li, X.H.; Zhao, N.; Cheung, T.; Ng, C.H. The COVID-19 outbreak and psychiatric hospitals in China: Managing challenges through mental health service reform. Int. J. Biol. Sci. 2020, 16, 1741–1744. [Google Scholar] [CrossRef]
- Zhang, H.H.; Zhao, Y.J.; Wang, C.; Zhang, Q.; Yu, H.Y.; Cheung, T.; Hall, B.J.; An, F.R.; Xiang, Y.T. Depression and its relationship with quality of life in frontline psychiatric clinicians during the COVID-19 pandemic in China: A national survey. Int. J. Biol. Sci. 2021, 17, 683–688. [Google Scholar] [CrossRef] [PubMed]
- Mohd Noor, N.; Che Yusof, R.; Yacob, M.A. Anxiety in Frontline and Non-Frontline Healthcare Providers in Kelantan, Malaysia. Int. J. Environ. Res. Public Health 2021, 18, 861. [Google Scholar] [CrossRef] [PubMed]
- Buysse, D.J.; Reynolds, C.F.; Monk, T.H.; Berman, S.R.; Kupfer, D.J. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res. 1989, 28, 193–213. [Google Scholar] [CrossRef]
- Spitzer, R.L.; Kroenke, K.; Williams, J.B.; Löwe, B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch. Intern. Med. 2006, 166, 1092–1099. [Google Scholar] [CrossRef]
- IBM Support. Using (SPSS) Software Version 26.0 for Mac. Available online: https://www.ibm.com/support/pages/downloading-ibm-spss-statistics-26 (accessed on 12 July 2020).
- Lai, J.; Ma, S.; Wang, Y.; Cai, Z.; Hu, J.; Wei, N.; Wu, J.; Du, H.; Chen, T.; Li, R.; et al. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw. Open 2020, 3, e203976. [Google Scholar] [CrossRef]
- Pappa, S.; Ntella, V.; Giannakas, T.; Giannakoulis, V.G.; Papoutsi, E.; Katsaounou, P. Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis. Brain Behav. Immun. 2020, 88, 901–907. [Google Scholar] [CrossRef]
- Alsulimani, L.K.; Farhat, A.M.; Borah, R.A.; AlKhalifah, J.A.; Alyaseen, S.M.; Alghamdi, S.M.; Bajnaid, M.J. Health care worker burnout during the COVID-19 pandemic: A cross-sectional survey study in Saudi Arabia. Saudi Med. J. 2021, 42, 306–314. [Google Scholar] [CrossRef] [PubMed]
- Salari, N.; Khazaie, H.; Hosseinian-Far, A.; Khaledi-Paveh, B.; Kazeminia, M.; Mohammadi, M.; Shohaimi, S.; Daneshkhah, A.; Eskandari, S. The prevalence of stress, anxiety, and depression within frontline healthcare workers caring for COVID-19 patients: A systematic review and meta-regression. Hum. Resour. Health 2020, 18, 100. [Google Scholar] [CrossRef] [PubMed]
- Huang, Y.; Zhao, N. Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: A web-based cross-sectional survey. Psychiatry Res. 2020, 288, 112954. [Google Scholar] [CrossRef]
- Liang, Y.; Chen, M.; Zheng, X.; Liu, J. Screening for Chinese medical staff mental health by S.D.S. and S.A.S. during the outbreak of COVID-19. J. Psychosom. Res. 2020, 133, 110102. [Google Scholar] [CrossRef] [PubMed]
- Cai, H.; Tu, B.; Ma, J.; Chen, L.; Fu, L.; Jiang, Y.; Zhuang, Q. Psychological Impact and Coping Strategies of Frontline Medical Staff in Hunan Between January and March 2020 During the Outbreak of Coronavirus Disease 2019 (COVID-19) in Hubei, China. Med. Sci. Monit. 2020, 26, e924171. [Google Scholar]
- Al-Maqbali, M.; Al-Sinani, M.; Al-Lenjawi, B. Prevalence of stress, depression, anxiety, and sleep disturbance among nurses during COVID-19 pandemic. A systematic review and meta-analysis. J. Psychosom. Res. 2021, 141, 110343. [Google Scholar] [CrossRef] [PubMed]
- Lin, M.; Beliavsky, A.; Katz, K.; Powis, J.E.; Ng, W.; Williamsm, V. What can early Canadian experience screening for COVID-19 teach us about how to prepare for a pandemic? Can. Med. Assoc. J. 2020, 192, E314–E318. [Google Scholar] [CrossRef]
- Koh, D. Occupational risks for COVID-19 infection. Occup. Med. 2020, 70, 3–5. [Google Scholar] [CrossRef]
- Chew, N.W.S.; Lee, G.K.H.; Tan, B.Y.Q.; Jing, M.; Goh, Y.; Ngiam, N.J.H.; Yeo, L.L.L.; Ahmad, A. A multinational, multicentre study on the psychological outcomes and associated physical symptoms amongst healthcare workers during the COVID-19 outbreak. Brain Behav. Immun. 2020, 88, 559–565. [Google Scholar] [CrossRef]
- Rossi, R.; Socci, V.; Pacitti, F.; Di Lorenzo, G.; Di Marco, A.; Siracusano, A.; Rossi, A. Mental Health Outcomes Among Frontline and Second-Line Health Care Workers During the Coronavirus Disease 2019 (COVID-19) Pandemic in Italy. JAMA Netw. Open 2020, 3, e2010185. [Google Scholar] [CrossRef]
- Alamri, H.S.; Algarni, A.; Shehata, S.F.; Al Bshabshe, A.; Alshehri, N.N.; ALAsiri, A.M.; Hussain, A.H.; Alalmay, A.Y.; Alshehri, E.A.; Alqarni, Y.; et al. Prevalence of Depression, Anxiety, and Stress among the General Population in Saudi Arabia during the Covid-19 Pandemic. Int. J. Environ. Res. Public Health 2020, 17, 9183. [Google Scholar] [CrossRef]
- Alharbi, A.S.; Alshahrani, S.M.; Alsaadi, M.M.; Al-Jahdali, H.H.; Wali, S.O.; BaHammam, A.S. Sleep quality and insomnia during the COVID-19 lockdown among the Saudi public. Saudi Med. J. 2021, 42, 384–390. [Google Scholar] [CrossRef] [PubMed]
- Magnavita, N.; Tripepi, G.; Di Prinzio, R.R. Symptoms in Health Care Workers during the COVID-19 Epidemic. A Cross-Sectional Survey. Int. J. Environ. Res. Public Health 2020, 17, 5218. [Google Scholar] [CrossRef] [PubMed]
- Magnavita, N.; Soave, P.M.; Ricciardi, W.; Antonelli, M. Occupational Stress and Mental Health among Anesthetists during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2020, 17, 8245. [Google Scholar] [CrossRef]
- Magnavita, N.; Soave, P.M.; Antonelli, M. Prolonged stress causes depression in frontline workers facing the COVID-19 pandemic. A repeated cross-sectional study. Int. J. Environ. Res. Public Health 2021, 2021050129. [Google Scholar] [CrossRef]
- Santarone, K.; McKenney, M.; Elkbulim, A. Preserving mental health and resilience in frontline healthcare workers during COVID-19. Am. J. Emerg. Med. 2020, 38, 1530–1531. [Google Scholar] [CrossRef] [PubMed]
Parameters | Number (N) and Percentage (%) |
---|---|
Age (years) | |
20 to 30 | 805 (48.0) |
31 to 40 | 475 (28.3) |
41 to 50 | 238 (14.2) |
51 to 60 | 117 (7.0) |
61 or above | 43 (2.6) |
Gender | |
Male | 819 (48.8) |
Female | 859 (51.2) |
Profession | |
Frontline healthcare workers | 1200 (71.5) |
Consultants | 289 (17.2) |
Physicians | 447 (26.6) |
Nurses | 259 (15.4) |
Clinical pharmacists | 205 (12.2) |
Second-line healthcare workers | 478 (28.5) |
Lab technicians | 64 (3.8) |
Others | 414 (24.7) |
Area of workplace | |
Emergency department | 219 (13.1) |
Ward | 413 (24.6) |
Intensive care unit (ICU) | 127 (7.6) |
Labs | 87 (5.2) |
Other | 832 (49.6) |
HCWs’ involvement with COVID-19 patients | |
No involvement | 534 (31.8) |
Diagnosis | 229 (13.6) |
Treatment | 303 (18.1) |
Nursing care | 151 (9.0) |
Other | 461 (27.5) |
Survey Statement | Minimal Anxiety N (%) | Mild Anxiety N (%) | Moderate Anxiety N (%) | Severe Anxiety N (%) | Total N (%) | Chi (df) | p-Value |
---|---|---|---|---|---|---|---|
Age (years) | |||||||
20 to 30 | 301 (37.4) | 266 (33.0) | 142 (17.6) | 96 (11.9) | 805 (100.0) | 30.007 (12) | 0.003 |
31 to 40 | 199 (41.9) | 161 (33.9) | 62 (13.0) | 53 (11.1) | 475 (100.0) | ||
41 to 50 | 97 (40.8) | 87 (36.5) | 31 (13.0) | 23 (9.6) | 238 (100.0) | ||
51 to 60 | 65 (55.5) | 28 (23.9) | 16 (13.6) | 8 (6.8) | 117 (100.0) | ||
61 above | 26 (60.5) | 13 (30.2) | 3 (6.9) | 1 (2.3) | 43 (100.0) | ||
Gender | |||||||
Male | 390 (47.6) | 267 (32.6) | 99 (12.0) | 63 (7.7) | 819 (100.0) | 41.226 (3) | 0.000 |
Female | 298 (34.7) | 288 (33.5) | 155 (18.0) | 118 (13.7) | 859 (100.0) | ||
Professional title | |||||||
Consultant | 121 (41.8) | 102 (35.3) | 33 (11.4) | 33 (11.4) | 289 (100.0) | 27.460 (15) | 0.025 |
Physician | 187 (41.8) | 146 (32.6) | 61 (13.6) | 53 (11.8) | 447 (100.0) | ||
Nurses | 104 (40.1) | 87 (33.6) | 47 (18.1) | 21 (8.1) | 259 (100.0) | ||
Clinical pharmacist | 75 (36.6) | 73 (35.6) | 27 (13.1) | 30 (14.6) | 205 (100.0) | ||
Lab technician | 38 (59.4) | 15 (23.4) | 6 (9.3) | 5 (7.8) | 64 (100.0) | ||
Others | 163 (39.3) | 132 (31.9) | 80 (19.3) | 39 (9.4) | 414 (100.0) | ||
HCWs’ involvement with COVID-19 patients | |||||||
No involvement | 239 (44.8) | 173 (32.4) | 79 (14.8) | 43 (8.1) | 534 (100.0) | 34.536 (12) | 0.001 |
Diagnosis | 94 (41.0) | 73 (31.9) | 30 (13.1) | 32 (14.0) | 229 (100.0) | ||
Treatment | 99 (32.7) | 97 (32.0) | 55 (18.2) | 52 (17.2) | 303 (100.0) | ||
Nursing care | 63 (41.7) | 47 (31.1) | 30 (19.9) | 11 (7.3) | 151 (100.0) | ||
SOther | 193 (41.9) | 165 (35.8) | 60 (13.0) | 43 (9.3) | 461 (100.0) |
Survey Statement | Good Sleep Quality <5 N (%) | Poor Sleep Quality ≥5 N (%) | Total N (%) | Chi (Degree of Freedom-df) | p-Value |
---|---|---|---|---|---|
Healthcare facility | |||||
Primary healthcare center | 76 (21.9) | 270 (78.0) | 346 (100.0) | 0.026 | |
Secondary or tertiary hospital | 88 (16.9) | 432 (83.0) | 520 (100.0) | ||
Specialized hospital | 61 (14.8) | 349 (85.1) | 410 (100.0) | ||
Polyclinic | 9 (11.2) | 71 (88.75) | 80 (100.0) | 12.775 (5) | |
Laboratories | 8 (15.3) | 44 (84.6) | 52 (100.0) | ||
Others | 60 (22.2) | 210 (77.7) | 270 (100.0) | ||
Work area | |||||
Emergency department | 49 (22.3) | 170 (77.6) | 219 (100.0) | 0.002 | |
Ward | 51 (12.3) | 362 (87.6) | 413 (100.0) | ||
Intensive care unit (ICU) | 17 (13.4) | 110 (86.6) | 127 (100.0) | 16.979 (4) | |
Labs | 15 (17.2) | 72 (82.7) | 87 (100.0) | ||
Other | 170 (20.4) | 662 (79.5) | 832 (100.0) | ||
HCWs’ involvement with COVID-19 | |||||
No involvement | 117 (21.9) | 417 (78.0) | 534 (100.0) | 0.00 | |
Diagnosis | 32 (13.9) | 197 (86.0) | 229 (100.0) | ||
Treatment | 32 (10.5) | 271 (89.4) | 303 (100.0) | 21.733 (4) | |
Nursing care | 34 (22.5) | 117 (77.4) | 151 (100.0) | ||
Others | 87 (18.8) | 374 (81.1) | 461 (100.0) | ||
Profession | |||||
Consultant | 65 (22.5) | 224 (77.5) | 289 (100.0) | 7.658 (5) | 0.176 |
Physician | 74 (16.6) | 373 (83.4) | 447 (100.0) | ||
Nurse | 53 (20.5) | 206 (79.5) | 259 (100.0) | ||
Clinical pharmacist | 33 (16.1) | 172 (83.9) | 205 (100.0) | ||
Lab technician | 12 (18.8) | 52 (81.2) | 64 (100.0) | ||
Other | 65 (15.7) | 349 (84.3) | 414 (100.0) | ||
Global PSQI Score Mean ± SD (8.944 ± 3.79) | 302 (18.0) | 1376 (82.0) | 1678 (100.0) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Meo, S.A.; Alkhalifah, J.M.; Alshammari, N.F.; Alnufaie, W.S. Comparison of Generalized Anxiety and Sleep Disturbance among Frontline and Second-Line Healthcare Workers during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 5727. https://doi.org/10.3390/ijerph18115727
Meo SA, Alkhalifah JM, Alshammari NF, Alnufaie WS. Comparison of Generalized Anxiety and Sleep Disturbance among Frontline and Second-Line Healthcare Workers during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2021; 18(11):5727. https://doi.org/10.3390/ijerph18115727
Chicago/Turabian StyleMeo, Sultan Ayoub, Joud Mohammed Alkhalifah, Nouf Faisal Alshammari, and Wejdan Saud Alnufaie. 2021. "Comparison of Generalized Anxiety and Sleep Disturbance among Frontline and Second-Line Healthcare Workers during the COVID-19 Pandemic" International Journal of Environmental Research and Public Health 18, no. 11: 5727. https://doi.org/10.3390/ijerph18115727
APA StyleMeo, S. A., Alkhalifah, J. M., Alshammari, N. F., & Alnufaie, W. S. (2021). Comparison of Generalized Anxiety and Sleep Disturbance among Frontline and Second-Line Healthcare Workers during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(11), 5727. https://doi.org/10.3390/ijerph18115727