Influence of the COVID-19 Pandemic on Musculoskeletal Complaints and Psychological Well-Being of Employees in Public Services—A Cohort Study
Abstract
:1. Introduction
1.1. Course of the COVID-19 Pandemic in Germany
1.2. Musculoskeletal Complaints and Mental Well-Being
1.3. Patient-Related Professions
1.4. Aim of the Study
2. Materials and Methods
2.1. Questionnaire
2.2. Analysis
3. Results
3.1. Socio-Demographic Characteristics
3.2. Work Situation during the COVID-19 Pandemic
3.3. (Musculoskeletal) Complaints and Mental Well-Being
4. Discussion
4.1. Work Situation during the COVID-19 Pandemic
4.3. Patient-Related Professions
4.4. Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Novelli, G.; Biancolella, M.; Mehrian-Shai, R.; Erickson, C.; Godri Pollitt, K.J.; Vasiliou, V.; Watt, J.; Reichardt, J.K.V. COVID-19 update: The first 6 months of the pandemic. Hum. Genom. 2020, 14, 48. [Google Scholar] [CrossRef] [PubMed]
- WHO Coronavirus (COVID-19) Dashboard|WHO Coronavirus (COVID-19) Dashboard with Vaccination Data. Available online: https://covid19.who.int/ (accessed on 22 November 2022).
- Schilling, J.; Tolksdorf, K.; Marquis, A.; Faber, M.; Pfoch, T.; Buda, S.; Haas, W.; Schuler, E.; Altmann, D.; Grote, U.; et al. Die verschiedenen Phasen der COVID-19-Pandemie in Deutschland: Eine deskriptive Analyse von Januar 2020 bis Februar 2021. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz 2021, 64, 1093–1106. [Google Scholar] [CrossRef] [PubMed]
- Maßnahmen Gegen die Ausbreitung des Coronavirus. Available online: https://www.baden-wuerttemberg.de/de/service/aktuelle-infos-zu-corona/aktuelle-corona-verordnung-des-landes-baden-wuerttemberg (accessed on 20 February 2023).
- RKI-Gesundheit A-Z-Muskuloskelettale Erkrankung. Available online: https://www.rki.de/DE/Content/GesundAZ/M/Muskuloskelettale_Erkrankungen/Muskuloskelettale_Erkrankungen_inhalt.html (accessed on 30 January 2023).
- Meyer, M.; Wing, L.; Schenkel, A. Krankheitsbedingte Fehlzeiten in der deutschen Wirtschaft im Jahr 2021. In Fehlzeiten-Report 2022; Badura, B., Ducki, A., Meyer, M., Schröder, H., Eds.; Fehlzeiten-Report; Springer: Berlin/Heidelberg, Germany, 2022; Volume 2022, pp. 287–368. ISBN 978-3-662-65597-9. [Google Scholar]
- European Agency for Safety and Health at Work. Work-Related Musculoskeletal Disorders: Prevalence, Costs and Demographics in the EU; IKEI: Delft, The Netherlands, 2019. [Google Scholar]
- Besharati, A.; Daneshmandi, H.; Zareh, K.; Fakherpour, A.; Zoaktafi, M. Work-related musculoskeletal problems and associated factors among office workers. Int. J. Occup. Saf. Ergon. 2020, 26, 632–638. [Google Scholar] [CrossRef]
- Rodrigues, M.S.; Leite, R.D.V.; Lelis, C.M.; Chaves, T.C. Differences in ergonomic and workstation factors between computer office workers with and without reported musculoskeletal pain. Work 2017, 57, 563–572. [Google Scholar] [CrossRef]
- Celik, S.; Celik, K.; Dirimese, E.; Taşdemir, N.; Arik, T.; Büyükkara, İ. Determination of pain in musculoskeletal system reported by office workers and the pain risk factors. Int. J. Occup. Med. Environ. Health 2018, 31, 91–111. [Google Scholar] [CrossRef] [PubMed]
- Kaya Aytutuldu, G.; Birinci, T.; Tarakcı, E. Musculoskeletal pain and its relation to individual and work-related factors: A cross-sectional study among Turkish office workers who work using computers. Int. J. Occup. Saf. Ergon. JOSE 2022, 28, 790–797. [Google Scholar] [CrossRef]
- Sharan, D.; Parijat, P.; Sasidharan, A.P.; Ranganathan, R.; Mohandoss, M.; Jose, J. Workstyle risk factors for work related musculoskeletal symptoms among computer professionals in India. J. Occup. Rehabil. 2011, 21, 520–525. [Google Scholar] [CrossRef]
- Jacobi, F.; Höfler, M.; Strehle, J.; Mack, S.; Gerschler, A.; Scholl, L.; Busch, M.A.; Maske, U.; Hapke, U.; Gaebel, W.; et al. Psychische Störungen in der Allgemeinbevölkerung: Studie zur Gesundheit Erwachsener in Deutschland und ihr Zusatzmodul Psychische Gesundheit (DEGS1-MH). Nervenarzt 2014, 85, 77–87. [Google Scholar] [CrossRef]
- Lang, A.; Hamann, J.; Brieger, P. Psychosoziale und berufliche Folgen der Depression. Nervenheilkunde 2018, 37, 575–581. [Google Scholar] [CrossRef]
- Lo, D.; De Angelis, M. The Lancet COVID-19: Protecting health-care workers. Lancet 2020, 395, 922. [Google Scholar] [CrossRef]
- Wei, J.-T.; Liu, Z.-D.; Fan, Z.-W.; Zhao, L.; Cao, W.-C. Epidemiology of and Risk Factors for COVID-19 Infection among Health Care Workers: A Multi-Centre Comparative Study. Int. J. Environ. Res. Public Health 2020, 17, 7149. [Google Scholar] [CrossRef] [PubMed]
- Hall, H. The effect of the COVID-19 pandemic on healthcare workers’ mental health. J. Am. Acad. Physician Assist. 2020, 33, 45–48. [Google Scholar] [CrossRef] [PubMed]
- RKI-Gesundheit in Deutschland. Available online: https://www.rki.de/DE/Content/Gesundheitsmonitoring/Studien/gesundheit_deutschland/gesundheit_in_deutschland_node.html;jsessionid=CDAED77A062846CE04F1F47416A656E4.internet102 (accessed on 8 February 2023).
- OECD Better Life Index. Available online: https://www.oecdbetterlifeindex.org/de/countries/germany-de/ (accessed on 8 February 2023).
- Kroenke, K.; Spitzer, R.L.; Williams, J.B.W.; Lowe, B. An Ultra-Brief Screening Scale for Anxiety and Depression: The PHQ-4. Psychosomatics 2009, 50, 613–621. [Google Scholar] [CrossRef] [PubMed]
- Löwe, B.; Wahl, I.; Rose, M.; Spitzer, C.; Glaesmer, H.; Wingenfeld, K.; Schneider, A.; Brähler, E. A 4-item measure of depression and anxiety: Validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. J. Affect. Disord. 2010, 122, 86–95. [Google Scholar] [CrossRef] [PubMed]
- Bonin, H.; Krause-Pilatus, A.; Rinne, U. Arbeitssituation und Belastungsempfinden im Kontext der Corona-Pandemie im September 2021: Ergebnisse Einer Repräsentativen Befragung von Abhängig Beschäftigten. (Forschungsbericht/Bundesministerium für Arbeit und Soziales, FB570/9). Berlin: Bundesministerium für Arbeit und Soziales; IZA Forschungsinstitut zur Zukunft der Arbeit GmbH. 2021. Available online: https://nbn-resolving.org/urn:nbn:de:0168- ssoar-75721-1 (accessed on 8 February 2023).
- Strauß, B.; Berger, U.; Rosendahl, J. Folgen der COVID-19-Pandemie für die psychische Gesundheit und Konsequenzen für die Psychotherapie –Teil 1 einer (vorläufigen) Übersicht. Psychotherapeut 2021, 66, 175–185. [Google Scholar] [CrossRef]
- Di Fazio, N.; Morena, D.; Delogu, G.; Volonnino, G.; Manetti, F.; Padovano, M.; Scopetti, M.; Frati, P.; Fineschi, V. Mental Health Consequences of COVID-19 Pandemic Period in the European Population: An Institutional Challenge. Int. J. Environ. Res. Public Health 2022, 19, 9347. [Google Scholar] [CrossRef]
- Giorgi, G.; Lecca, L.I.; Alessio, F.; Finstad, G.L.; Bondanini, G.; Lulli, L.G.; Arcangeli, G.; Mucci, N. COVID-19-Related Mental Health Effects in the Workplace: A Narrative Review. Int. J. Environ. Res. Public Health 2020, 17, 7857. [Google Scholar] [CrossRef]
- Eicher, S.; Pryss, R.; Baumeister, H.; Hövener, C.; Knoll, N.; Cohrdes, C. Lebensqualität während der COVID-19-Pandemie—Ergebnisse der CORONA-HEALTH-App-Studie. J. Health Monit. 2021, 6, 2–22. [Google Scholar] [CrossRef]
- Violant-Holz, V.; Gallego-Jiménez, M.G.; González-González, C.S.; Muñoz-Violant, S.; Rodríguez, M.J.; Sansano-Nadal, O.; Guerra-Balic, M. Psychological Health and Physical Activity Levels during the COVID-19 Pandemic: A Systematic Review. Int. J. Environ. Res. Public Health 2020, 17, 9419. [Google Scholar] [CrossRef]
- Wunsch, K.; Kienberger, K.; Niessner, C. Changes in Physical Activity Patterns Due to the Covid-19 Pandemic: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2022, 19, 2250. [Google Scholar] [CrossRef]
- Dwyer, M.J.; Pasini, M.; De Dominicis, S.; Righi, E. Physical activity: Benefits and challenges during the COVID-19 pandemic. Scand. J. Med. Sci. Sports 2020, 30, 1291–1294. [Google Scholar] [CrossRef]
- Friedrichs, B.; Knöchel, C. Klassifikation und Ätiologie psychischer Störungen. In Aktiv für die Psyche: Sport und Bewegungsinterventionen bei Psychisch Kranken Menschen; Oertel-Knöchel, V., Hänsel, F., Eds.; Springer: Berlin/Heidelberg, Germany, 2016; pp. 29–35. ISBN 978-3-662-46537-0. [Google Scholar]
- Angenendt, J.; Frommberger, U.; Berger, M.; Domschke, K. Kapitel 12-Angststörungen. In Psychische Erkrankungen (Sechste Ausgabe); Berger, M., Ed.; Urban & Fischer: Munich, Germany, 2019; pp. 445–481. ISBN 978-3-437-22485-0. [Google Scholar]
- Köhler, S.; Walter, H. Kapitel 8-Biologische Grundlagen depressiver Erkrankungen. In Praxishandbuch Depression; Adli, M., Hautzinger, M., Eds.; Urban & Fischer: Munich, Germany, 2023; pp. 69–82. ISBN 978-3-437-23031-8. [Google Scholar]
- Brakemeier, E.-L.; Wirkner, J.; Knaevelsrud, C.; Wurm, S.; Christiansen, H.; Lueken, U.; Schneider, S. Die COVID-19-Pandemie als Herausforderung für die psychische Gesundheit: Erkenntnisse und Implikationen für die Forschung und Praxis aus Sicht der Klinischen Psychologie und Psychotherapie. Z. Für Klin. Psychol. Psychother. 2020, 49, 1–31. [Google Scholar] [CrossRef]
- Vindegaard, N.; Benros, M.E. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence. Brain. Behav. Immun. 2020, 89, 531–542. [Google Scholar] [CrossRef] [PubMed]
- Mauz, E.; Walther, L.; Junker, S.; Kersjes, C.; Damerow, S.; Eicher, S.; Hölling, H.; Müters, S.; Peitz, D.; Schnitzer, S.; et al. Time Trends of Mental Health Indicators in Germany’s Adult Population before and during the COVID-19 Pandemic; Public and Global Health: Austin, TX, USA, 2022. [Google Scholar]
- Cénat, J.M.; Blais-Rochette, C.; Kokou-Kpolou, C.K.; Noorishad, P.-G.; Mukunzi, J.N.; McIntee, S.-E.; Dalexis, R.D.; Goulet, M.-A.; Labelle, P.R. Prevalence of symptoms of depression, anxiety, insomnia, posttraumatic stress disorder, and psychological distress among populations affected by the COVID-19 pandemic: A systematic review and meta-analysis. Psychiatry Res. 2021, 295, 113599. [Google Scholar] [CrossRef]
- Luo, M.; Guo, L.; Yu, M.; Jiang, W.; Wang, H. The psychological and mental impact of coronavirus disease 2019 (COVID-19) on medical staff and general public—A systematic review and meta-analysis. Psychiatry Res. 2020, 291, 113190. [Google Scholar] [CrossRef] [PubMed]
- Jahrami, H.A.; Alhaj, O.A.; Humood, A.M.; Alenezi, A.F.; Fekih-Romdhane, F.; AlRasheed, M.M.; Saif, Z.Q.; Bragazzi, N.L.; Pandi-Perumal, S.R.; BaHammam, A.S.; et al. Sleep disturbances during the COVID-19 pandemic: A systematic review, meta-analysis, and meta-regression. Sleep Med. Rev. 2022, 62, 101591. [Google Scholar] [CrossRef]
- Wathelet, M.; Duhem, S.; Vaiva, G.; Baubet, T.; Habran, E.; Veerapa, E.; Debien, C.; Molenda, S.; Horn, M.; Grandgenèvre, P.; et al. Factors Associated With Mental Health Disorders among University Students in France Confined during the COVID-19 Pandemic. JAMA Netw. Open 2020, 3, e2025591. [Google Scholar] [CrossRef]
- Alkhamees, A.A.; Alrashed, S.A.; Alzunaydi, A.A.; Almohimeed, A.S.; Aljohani, M.S. The psychological impact of COVID-19 pandemic on the general population of Saudi Arabia. Compr. Psychiatry 2020, 102, 152192. [Google Scholar] [CrossRef]
- Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; Ho, C.S.; Ho, R.C. Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. Int. J. Environ. Res. Public Health 2020, 17, 1729. [Google Scholar] [CrossRef]
- Li, S.; Xu, Q. Family support as a protective factor for attitudes toward social distancing and in preserving positive mental health during the COVID-19 pandemic. J. Health Psychol. 2022, 27, 858–867. [Google Scholar] [CrossRef]
- El-Hage, W.; Hingray, C.; Lemogne, C.; Yrondi, A.; Brunault, P.; Bienvenu, T.; Etain, B.; Paquet, C.; Gohier, B.; Bennabi, D.; et al. Health professionals facing the coronavirus disease 2019 (COVID-19) pandemic: What are the mental health risks? L’Encephale 2020, 46, S73–S80. [Google Scholar] [CrossRef] [PubMed]
- Mulfinger, N.; Lampl, J.; Dinkel, A.; Weidner, K.; Beutel, M.E.; Jarczok, M.N.; Hildenbrand, G.; Kruse, J.; Seifried-Dübon, T.; Junne, F.; et al. Psychische Belastungen durch Epidemien bei Beschäftigten im Gesundheitswesen und Implikationen für die Bewältigung der Corona-Krise. Z. Für Psychosom. Med. Psychother. 2020, 66, 220–242. [Google Scholar] [CrossRef] [PubMed]
- Aydin, A.; Atiç, R. Negative effects of the COVID-19 pandemic on the musculoskeletal system and depression in healthcare professionals. J. Back Musculoskelet. Rehabil. 2023, 1–11. [Google Scholar] [CrossRef] [PubMed]
- Arca, M.; Dönmezdil, S.; Durmaz, E.D. The effect of the COVID-19 Pandemic on anxiety, depression, and musculoskeletal system complaints in healthcare workers. Work Read. Mass 2021, 69, 47–54. [Google Scholar] [CrossRef]
- Fernandez, R.; Sikhosana, N.; Green, H.; Halcomb, E.J.; Middleton, R.; Alananzeh, I.; Trakis, S.; Moxham, L. Anxiety and depression among healthcare workers during the COVID-19 pandemic: A systematic umbrella review of the global evidence. BMJ Open 2021, 11, e054528. [Google Scholar] [CrossRef]
- Sahebi, A.; Nejati-Zarnaqi, B.; Moayedi, S.; Yousefi, K.; Torres, M.; Golitaleb, M. The prevalence of anxiety and depression among healthcare workers during the COVID-19 pandemic: An umbrella review of meta-analyses. Prog. Neuropsychopharmacol. Biol. Psychiatry 2021, 107, 110247. [Google Scholar] [CrossRef]
- Almhdawi, K.A.; Alrabbaie, H.; Arabiat, A.; Almahdawi, S.; Alhammouri, A.T.; Nadar, M.S.; Al-Tamimi, F.; Obeidat, D.; Alazrai, A.; Jaber, H. Quality of life and its health and occupational determinants among hospital-based nurses during the COVID-19 pandemic. Work 2023, 74, 1321–1329. [Google Scholar] [CrossRef]
- Talhari, C.; Criado, P.R.; Castro, C.C.S.; Ianhez, M.; Ramos, P.M.; Miot, H.A. Prevalence of and risk factors for post-COVID: Results from a survey of 6,958 patients from Brazil. An. Acad. Bras. Cienc. 2023, 95, e20220143. [Google Scholar] [CrossRef]
- Poyurovsky, M.; Weizman, A. Beneficial Effect of Quetiapine on Sleep, Anxiety, Depression and Myalgia Symptoms in a Patient With Post–COVID-19 Condition. J. Clin. Psychopharmacol. 2023, 43, 381–382. [Google Scholar] [CrossRef]
- Enax-Krumova, E.; Forsting, J.; Rohm, M.; Schwenkreis, P.; Tegenthoff, M.; Meyer-Frießem, C.H.; Schlaffke, L. Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post-COVID-19 condition. Eur. J. Neurol. 2023, 30, 970–981. [Google Scholar] [CrossRef]
Total | PRP | OP | |
---|---|---|---|
n = 1678 (%) | n = 204 (%) | n = 1474 (%) | |
Institution | |||
University hospital | 642 (38.3) | 204 (100) | 438 (29.7) |
Regional council | 389 (23.2) | 389 (26.4) | |
District administration | 289 (17.2) | 289 (19.6) | |
Relief organization | 42 (2.5) | 42 (2.8) | |
Energy supplying company | 316 (18.8) | 316 (18.8) | |
Gender | |||
Female | 1045 (62.3) | 145 (72.1) | 900 (61.1) |
Male | 617 (36.8) | 57 (27.9) | 560 (38.0) |
Diverse | 4 (0.2) | 4 (0.3) | |
Not specified | 12 (0.7) | 12 (0.8) | |
Age group | |||
18–29 years | 285 (17.0) | 49 (24.0) | 236 (16.0) |
30–44 years | 587 (35.0) | 71 (34.8) | 516 (35.0) |
45–64 years | 795 (47.4) | 83 (40.7) | 712 (48.3) |
65+ years | 5 (0.3) | 1 (0.5) | 4 (0.3) |
Not specified | 6 (0.4) | 6 (0.4) | |
Profession | |||
Medical service | 31 (1.8) | 31 (15.2) | |
Nurse | 173 (10.3) | 173 (84.8) | |
Administration or pure office work | 965 (57.5) | 965 (65.5) | |
Other professions | 509 (30.3) | 509 (34.5) |
Total | PRP | OP | p-Value | |
---|---|---|---|---|
n = 1678 (%) | n = 204 (%) | n = 1474 (%) | ||
Work location | <0.001 | |||
Usual office space | 873 (52.0) | 195 (95.6) | 678 (46.0) | |
Usual home office space | 32 (1.9) | 32 (2.2) | ||
Pandemic-related as much as possible in working from home | 628 (37.4) | 5 (2.5) | 623 (42.3) | |
Pandemic-related only working from home | 121 (7.2) | 1 (0.5) | 120 (8.1) | |
Different office space | 23 (1.4) | 3 (1.5) | 20 (1.4) | |
Not specified | 1 (0.1) | 1 (0.1) | ||
Satisfaction with the work situation due to pandemic | <0.001 | |||
Much more satisfied | 296 (17.6) | 7 (3.4) | 289 (19.6) | |
Satisfied | 899 (53.6) | 77 (37.7) | 822 (55.8) | |
Less satisfied | 368 (21.9) | 89 (43.6) | 279 (18.9) | |
Not at all satisfied | 107 (6.4) | 31 (15.2) | 76 (5.2) | |
Not specified | 8 (0.5) | 8 (0.5) | ||
Facing more challenges | <0.001 | |||
Much more | 363 (21.6) | 97 (47.5) | 266 (18.0) | |
More | 634 (37.8) | 80 (39.2) | 554 (37.6) | |
Remained the same | 532 (31.7) | 24 (11.8) | 508 (34.4) | |
Decreased | 83 (4.9) | 3 (1.5) | 80 (5.4) | |
Decreased significantly | 29 (1.7) | 29 (2) | ||
Not specified | 37 (2.2) | 37 (2.5) | ||
Work-related stress | <0.001 | |||
Much more | 249 (14.8) | 71 (34.8) | 178 (12.1) | |
More | 525 (31.3) | 80 (39.2) | 445 (30.2) | |
Remained the same | 722 (43.0) | 47 (23.0) | 675 (45.8) | |
Decreased | 132 (7.9) | 6 (2.9) | 126 (8.5) | |
Decreased significantly | 28 (1.7) | 28 (1.9) | ||
Not specified | 22 (1.3) | 22 (1.5) | ||
Private stress | <0.001 | |||
Much more | 266 (15.9) | 53 (26.0%) | 213 (14.5%) | |
More | 526 (31.3) | 77 (37.7%) | 449 (30.5%) | |
Remained the same | 587 (35.0) | 54 (26.5%) | 533 (36.2%) | |
Decreased | 224 (13.3) | 14 (6.9%) | 210 (14.2%) | |
Decreased significantly | 57 (3.4) | 6 (2.9%) | 51 (3.5%) | |
Not specified | 18 (1.1) | 18 (1.2%) | ||
Frequency of social contacts | <0.001 | |||
Much more | 13 (0.8) | 13 (0.9) | ||
Remained the same | 124 (7.4) | 5 (2.5) | 119 (8.1) | |
Decreased | 528 (31.5) | 46 (22.5) | 482 (32.7) | |
Decreased significantly | 1003 (59.8) | 151 (74) | 852 (57.8) | |
Not specified | 10 (0.6) | 2 (1.0) | 8 (0.5) |
Total | PRP | OP | p-Value | |
---|---|---|---|---|
Area of Musculoskeletal Complaints or Symptoms | n = 1678 (%) | n = 204 (%) | n = 1474 (%) | |
Shoulder and neck | ||||
Prevalence | 1042 (62.1) | 141 (69.1) | 901 (61.1) | 0.027 |
Intensity increased | 786 (75.4) | 113 (80.1) | 673 (74.7) | 0.011 |
Frequency > 7/14 days | 487 (46.7) | 78 (55.3) | 409 (45.4) | 0.060 |
Medication use | 187 (17.9) | 48 (34.0) | 139 (15.4) | <0.001 |
Back | ||||
Prevalence | 890 (53.0) | 124 (60.8) | 766 (52.0) | 0.015 |
Intensity increased | 663 (74.5) | 102 (82.3) | 561 (73.2) | 0.026 |
Frequency > 7/14 days | 361 (40.6) | 55 (44.4) | 306 (39.9) | 0.615 |
Medication use | 159 (17.9) | 42 (33.9) | 117 (15.3) | <0.001 |
Lower extremity | ||||
Prevalence | 339 (20.2) | 59 (28.9) | 280 (19.0) | 0.001 |
Intensity increased | 269 (79.4) | 52 (88.1) | 217 (77.5) | 0.107 |
Frequency > 7/14 days | 169 (49.9) | 32 (54.2) | 137 (48.9) | 0.336 |
Medication use | 60 (17.7) | 15 (25.4) | 45 (16.1) | 0.229 |
Headache or burning eyes | ||||
Prevalence | 990 (59.0) | 143 (70.1) | 847 (57.5) | <0.001 |
Intensity increased | 680 (68.9) | 109 (76.2) | 571 (67.4) | 0.039 |
Frequency > 7/14 days | 276 (27.9) | 47 (32.9) | 229 (27.0) | 0.080 |
Medication use | 252 (25.5) | 60 (42.0) | 192 (22.7) | <0.001 |
Feeling of general fatigue | ||||
Prevalence | 1118 (66.6) | 153 (75.0) | 965 (65.5) | 0.012 |
Intensity increased | 884 (79.1) | 137 (89.5) | 747 (77.4) | <0.001 |
Frequency > 7/14 days | 468 (41.9) | 77 (50.3) | 391 (40.5) | <0.001 |
Medication use | 56 (5.0) | 6 (3.9) | 50 (5.2) | 0.798 |
Sleeping problems | ||||
Prevalence | 722 (43.0) | 108 (52.9) | 614 (41.7) | 0.003 |
Intensity increased | 528 (73.1) | 85 (78.7) | 443 (72.1) | 0.085 |
Frequency > 7/14 days | 265 (36.7) | 54 (50.0) | 211 (34.4) | 0.015 |
Medication use | 52 (7.2) | 9 (8.3) | 43 (7.0) | 0.627 |
Total | PRP | OP | p-Value | |
---|---|---|---|---|
n = 1678 (%) | n = 204 (%) | n = 1474 (%) | ||
PHQ-4 | 0.048 | |||
Normal distress | 829 (49.4) | 85 (41.7) | 744 (50.5) | |
Mild distress | 594 (35.4) | 77 (37.7) | 517 (35.1) | |
Moderate distress | 169 (10.1) | 25 (12.3) | 144 (9.8) | |
Severe distress | 60 (3.6) | 13 (6.4) | 47 (3.2) | |
GAD-2 | 0.136 | |||
≥3 points (conspicuous) | 258 (15.4) | 41 (20.1) | 217 (14.7) | |
<3 points (inconspicuous) | 1401 (83.5) | 161 (78.9) | 1240 (84.1) | |
PHQ-2 | 0.016 | |||
≥3 points (conspicuous) | 356 (21.2) | 59 (28.9) | 297 (20.1) | |
<3 points (inconspicuous) | 1306 (77.8) | 143 (70.1) | 1163 (78.9) | |
Health status | 0.004 | |||
Improved | 213 (12.6) | 22 (10.8) | 191 (13.0) | |
Remained the same | 585 (34.9) | 63 (30.9) | 522 (35.4) | |
Worsened | 864 (51.5) | 108 (57.8) | 756 (51.3) | |
Quality of life | <0.001 | |||
Improved | 230 (13.7) | 22 (10.8) | 208 (14.1) | |
Remained the same | 264 (15.7) | 24 (11.8) | 240 (16.3) | |
Worsened | 1153 (68.7) | 157 (77.0) | 996 (67.6) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 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
Wolf, L.; Maier, P.; Deibert, P.; Schmal, H.; Kubosch, E.J. Influence of the COVID-19 Pandemic on Musculoskeletal Complaints and Psychological Well-Being of Employees in Public Services—A Cohort Study. J. Pers. Med. 2023, 13, 1478. https://doi.org/10.3390/jpm13101478
Wolf L, Maier P, Deibert P, Schmal H, Kubosch EJ. Influence of the COVID-19 Pandemic on Musculoskeletal Complaints and Psychological Well-Being of Employees in Public Services—A Cohort Study. Journal of Personalized Medicine. 2023; 13(10):1478. https://doi.org/10.3390/jpm13101478
Chicago/Turabian StyleWolf, Leonie, Philipp Maier, Peter Deibert, Hagen Schmal, and Eva Johanna Kubosch. 2023. "Influence of the COVID-19 Pandemic on Musculoskeletal Complaints and Psychological Well-Being of Employees in Public Services—A Cohort Study" Journal of Personalized Medicine 13, no. 10: 1478. https://doi.org/10.3390/jpm13101478
APA StyleWolf, L., Maier, P., Deibert, P., Schmal, H., & Kubosch, E. J. (2023). Influence of the COVID-19 Pandemic on Musculoskeletal Complaints and Psychological Well-Being of Employees in Public Services—A Cohort Study. Journal of Personalized Medicine, 13(10), 1478. https://doi.org/10.3390/jpm13101478