Is the Prevalence of Low Physical Activity among Teachers Associated with Depression, Anxiety, and Stress?
Abstract
:1. Introduction
2. Material and Methods
2.1. Study Design and Participants
2.2. Measurements (Study Instruments and Data Analysis)
2.3. Dependent Variables
2.4. Independent Variables
2.5. Confounding Variables
2.6. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
6. Strengths and Limitations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Czarnik, S.; Turek, K. Professional Activity and Education of Poles. Based on Population Surveys Carried Out in 2013 as Part of the 4th Edition of the Balance of Human Capital Project, Warszawa. 2014. Available online: https://www.parp.gov.pl/files/74/81/713/20012.pdf (accessed on 19 November 2021).
- Moy, F.M.; Hoe, V.C.W.; Hairi, N.N.; Buckley, B.; Wark, P.A.; Koh, D.; Bueno-de-Mesquita, H.B.; Bulgiba, A.M. Cohort study on clustering of lifestyle risk factors and understanding its association with stress on health and wellbeing among school teachers in Malaysia (CLUSTer)—A study protocol. BMC Public Health 2014, 14, 611. [Google Scholar] [CrossRef]
- Pyżalski, J. Obciążenia psychospołeczne w miejscu pracy pedagoga związane z niewłaściwymi zachowaniami uczniów. Med. Pract. 2008, 59, 307–313. [Google Scholar]
- Unterbrink, T.; Zimmermann, L.; Pfeifer, R.; Wirsching, M.; Brähler, E.; Bauer, J. Parameters influencing health variables in a sample of 949 German teachers. Int. Arch. Occup. Environ. Health 2008, 82, 117–123. [Google Scholar] [CrossRef] [PubMed]
- Geving, A.M. Identifying the types of student and teacher behaviours associated with teacher stress. Teach. Teach. Educ. 2007, 23, 624–640. [Google Scholar] [CrossRef]
- Lazuras, L. Occupational stress, negative affectivity and physical health in special and general education teachers in Greece. Br. J. Spec. Educ. 2006, 33, 204–209. [Google Scholar] [CrossRef]
- Eller, N.H.; Netterstrøm, B.; Gyntelberg, F.; Kristensen, T.S.; Nielsen, F.; Steptoe, A.; Theorell, T. Work-related psychosocial factors and the development of ischemic heart disease: A systematic review. Cardiol. Rev. 2009, 17, 83–97. [Google Scholar] [CrossRef]
- Kivimäki, M.; Kawachi, I. Work Stress as a Risk Factor for Cardiovascular Disease. Curr. Cardiol. Rep. 2015, 17, 630. [Google Scholar] [CrossRef] [Green Version]
- Kivimäki, M.; Virtanen, M.; Elovainio, M.; Kouvonen, A.; Väänänen, A.; Vahtera, J. Work stress in the etiology of coronary heart disease—A meta-analysis. Scand. J. Work Environ. Health 2006, 32, 431–442. [Google Scholar] [CrossRef]
- Theorell, T.; Jood, K.; Järvholm, L.S.; Vingård, E.; Perk, J.; Östergren, P.O.; Hall, C. A systematic review of studies in the contributions of the work environment to ischaemic heart disease development. Eur. J. Public Health 2016, 26, 470–477. [Google Scholar] [CrossRef] [Green Version]
- Ruiz-Prada, M.; Fernández-Salinero, S.; García-Ael, C.; Topa, G. Occupational Stress and Catholic Priests: A Scoping Review of the Literature. J. Relig. Health 2021, 60, 3807–3870. [Google Scholar] [CrossRef]
- Bergmann, N.; Gyntelberg, F.; Faber, J. The appraisal of chronic stress and the development of the metabolic syndrome: A systematic review of prospective cohort studies. Endocr. Connect. 2014, 3, 55–80. [Google Scholar] [CrossRef] [PubMed]
- Rosengren, A.; Hawken, S.; Ôunpuu, S.; Sliwa, K.; Zubaid, M.; Almahmeed, W.A.; Blackett, K.N.; Sitthi-amorn, C.; Sato, H.; Yusuf, S. Association of psychosocial risk factors with risk of acute myocardial infarction in 11 119 cases and 13 648 controls from 52 countries (the INTERHEART study): Case-control study. Lancet 2004, 364, 953–962. [Google Scholar] [CrossRef]
- Cosgrove, M.P.; Sargeant, L.A.; Caleyachetty, R.; Griffin, S.J. Work-related stress and Type 2 diabetes: Systematic review and meta-analysis. Occup. Med. 2012, 62, 167–173. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Heraclides, A.; Chandola, T.; Witte, D.R.; Brunner, E.J. Psychosocial stress at work doubles the risk of type 2 diabetes in middle-aged women: Evidence from the Whitehall II study. Diabetes Care 2009, 32, 2230–2235. [Google Scholar] [CrossRef] [Green Version]
- Tsurugano, S.; Nakao, M.; Takeuchi, T.; Nomura, K.; Yano, E. Job stress strengthens the link between metabolic risk factors and renal dysfunction in adult men. Tohoku J. Exp. Med. 2012, 226, 101–108. [Google Scholar] [CrossRef] [Green Version]
- Zurlo, M.C.; Pes, D.; Cooper, C.L. Stress in teaching: A study of occupational stress and its determinants among Italian schoolteachers. Stress Health 2007, 23, 231–241. [Google Scholar] [CrossRef]
- Zurlo, M.C.; Pes, D.; Capasso, R. Personality Characteristics, Job Stressors, and Job Satisfaction: Main and Interaction Effects on Psychological and Physical Health Conditions of Italian Schoolteachers. Psychol. Rep. 2016, 119, 27–38. [Google Scholar] [CrossRef]
- Pyżalski, J. Stressors in the teacher’s work environment. In Psychosocial Working Conditions of Polish Teachers between Burnout and Commitment; Pyżalski, J., Merecz, D., Eds.; Impuls: Kraków, Poland, 2010; pp. 53–74. [Google Scholar]
- Tucholska, S. Teacher Burnout; KUL: Lublin, Poland, 2003. [Google Scholar]
- Okulicz-Kozaryn, K.; Bobrowski, K.; Borucka, A.; Ostaszewski, K.; Pisarska, A.; Raduj, J. Klimat i Kultura Szkoły a Zdrowie Psychiczne i Zachowania Problemowe Uczniów. In Projekt Statutowy IpiN; Przemysłowy Instytut Automatyki i Pomiarów PIAP: Warsaw, Poland, 2012. [Google Scholar]
- Łukasiewicz, J.; Płatek, A.; Raczkowski, A. Wypalenie zawodowe u nauczycieli. Przyczyny zainteresowania tematyką wypalenia. Sympozjum 2018, 1, 261–280. [Google Scholar] [CrossRef]
- Nazaruk, S.; Marchel, J. The problem of professional burnout among the teachers of Biała Podlaska schools in the context of professional advancement. Rozpr. Społeczne 2015, 9, 18–27. [Google Scholar]
- Umiastowska, D.; Gdaniec, A. The Phenomenon of Burnout among Teachers of Physical Education. Prace Nauk. Akad. Im. Jana Długosza Częstochowie. Kult. Fiz. 2016, 15, 147–156. [Google Scholar] [CrossRef]
- Grzegorzewska, M.K. Stress in the teaching profession resulting from changes in the educational space and social reality. Pedagog. Przedszkolna Wczesnoszkolna 2018, 2, 363–370. [Google Scholar]
- Szczepankowska, J. Stres w zawodzie nauczyciela próba charakterystyki [Stress in the teaching profession—An attempt at characterization]. Zesz. Nauk. Państwowej Wyższej Szkoły Zawodowej Im. Witelona Legn. 2007, 2, 129–136. [Google Scholar]
- Terelak, J.F. Occupational Stress. Psychological Characteristics of Selected Stressful Occupations; Wydawnictwo Uniwersytetu Kardynała Stefana Wyszyńskiego: Warsaw, Poland, 2007. [Google Scholar]
- Kużel, A.; Krajewska-Kułak, E.; Śmigielska-Kuzia, J. Perception of depression in selected social groups. Med. Og. Nauk. Zdr. 2015, 21, 295–302. [Google Scholar] [CrossRef]
- Stanowski, M. The Sense of the Meaning of Life and the Level of Anxiety in Teachers with Short and Long Work Experience; Wydawnictwo Uniwersytetu Kardynała Stefana Wyszyńskiego: Warsaw, Poland, 2010. [Google Scholar]
- Śliwińska-Kowalska, M.; Pyżalski, J.; Niebudek-Bogusz, E.; Merecz, D. Psychophysical Burdens in the Teaching Profession and Their Impact on Health; Instytut Medycyny Pracy, im. prof. J. Nofera: Łódź, Poland, 2004. [Google Scholar]
- Wayne, W.D. Biostatistics: A Foundation for Analysis in the Health Sciences, 7th ed.; Wiley: Hoboken, NJ, USA, 1999. [Google Scholar]
- Makara-Studzińska, M.; Tyburski, E.; Załuski, M.; Adamczyk, K.; Mesterhazy, J.; Mesterhazy, A. Confirmatory Factor Analysis of Three Versions of the Depression Anxiety Stress Scale (DASS-42, DASS-21, and DASS-12) in Polish Adults. Front. Psychiatry 2022, 12, 2342. [Google Scholar] [CrossRef]
- Biernat, E.; Stupnicki, R.; Gajewski, A. International Physical Activity Questionnaire (IPAQ)—Polish version. Wych. Fiz. Sport 2007, 51, 47–54. [Google Scholar]
- Lovibond, P.F.; Lovibond, S.H. The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav. Res. Ther. 1995, 33, 335–343. [Google Scholar] [CrossRef]
- Craig, C.L.; Marshall, A.L.; Sjöström, M.; Bauman, A.E.; Booth, M.L.; Ainsworth, B.E.; Pratt, M.; Ekelund, U.; Yngve, A.; Sallis, J.F.; et al. International physical activity questionnaire: 12-country reliability and validity. Med. Sci. Sports Exerc. 2003, 35, 1381–1395. [Google Scholar] [CrossRef] [Green Version]
- Guidelines for the Data Processing and Analysis of the “International Physical Activity Questionnaire—Short and Long Forms. Available online: www.ipaq.ki.se (accessed on 7 February 2018).
- Cheng, X.; Lin, S.-Y.; Liu, J.; Liu, S.; Zhang, J.; Nie, P.; Fuemmeler, B.F.; Wang, Y.; Xue, H. Does Physical Activity Predict Obesity-A Machine Learning and Statistical Method-Based Analysis. Int. J. Environ. Res. Public Health 2021, 18, 3966. [Google Scholar] [CrossRef]
- van Dijk-Huisman, H.C.; Welters, M.H.P.; Bijnens, W.; van Kuijk, S.M.J.; Magdelijns, F.J.H.; de Bie, R.A.; Lenssen, A.F. Development and internal validation of a prediction model to identify older adults at risk of low physical activity levels during hospitalisation: A prospective cohort study. BMC Geriatr. 2022, 22, 479. [Google Scholar] [CrossRef]
- Metz, C.E. Basic principles of ROC analysis. Semin. Nucl. Med. 1978, 8, 283–298. [Google Scholar] [CrossRef]
- Hosmer, D.; Lemeshow, S.; Sturdivant, R. Applied Logistic Regression; John Wiley & Sons: Hoboken, NJ, USA, 2013. [Google Scholar]
- Kessler, R.C.; Bromet, E.J. The epidemiology of depression across cultures. Annu. Rev. Public Health 2013, 34, 119–138. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dudek, B.; Waszkowska, M.; Hanke, W.; Merecz, D. Protection of Employees’ Health against the Effects of Occupational Stress; Instytut Medycyny Pracy im. Prof. J. Nofera: Łódź, Poland, 2004. [Google Scholar]
- Kovess-Masféty, V.; Sevilla-Dedieu, C.; Rios-Seidel, C.; Nerrière, E.; Chan Chee, C. Do teachers have more health problems? Results from a French cross-sectional survey. BMC Public Health 2006, 6, 101. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yang, X.; Ge, C.; Hu, B.; Chi, T.; Wang, L. Relationship between quality of life and occupational stress among teachers. Public Health 2009, 123, 750–755. [Google Scholar] [CrossRef] [PubMed]
- Dashti, S.; Su, T.; Su, A. Effect of Physical Activity Level on Emotional Status of Iranian Women. World Appl. Sci. J. 2014, 30, 852–857. [Google Scholar] [CrossRef]
- Siegrist, J.; Rödel, A. Work stress and health risk behavior. Scand. J. Work Environ. Health 2006, 32, 473–481. [Google Scholar] [CrossRef] [Green Version]
- Chou, K.-L. The prevalence and clustering of four major lifestyle risk factors in Hong Kong Chinese older adults. J. Aging Health 2008, 20, 788–803. [Google Scholar] [CrossRef]
- Poortinga, W. The prevalence and clustering of four major lifestyle risk factors in an English adult population. Prev. Med. 2007, 44, 124–128. [Google Scholar] [CrossRef]
- Bogaert, I.; de Martelaer, K.; Deforche, B.; Clarys, P.; Zinzen, E. Associations between different types of physical activity and teachers’ perceived mental, physical, and work-related health. BMC Public Health 2014, 14, 534. [Google Scholar] [CrossRef] [Green Version]
- GUS. Health of the Population of Poland in 2019, Warszawa. 2019. Available online: https://stat.gov.pl/download/gfx/portalinformacyjny/pl/defaultaktualnosci/5513/26/1/1/stan_zdrowia_ludnosci_polski_w_2019_r.pdf (accessed on 31 March 2021).
- RPO. Mental Health Protection in Poland: Challenges, Plans, Barriers, Good Practices; RPO Report; Biuro Rzecznika Praw Obywatelskich: Warsaw, Poland, 2014. Available online: https://bip.brpo.gov.pl/sites/default/files/Ochrona_zdrowia_psychicznego.pdf (accessed on 31 March 2022).
- Moskalewicz, J.; Kiejna, A.; Wojtyniak, B. Mental Condition of Polish Inhabitants. Research Report. Epidemiology of Psychiatric Disorders and Access to Psychiatric Health Care—EZOP Poland; Instytut Psychiatrii i Neurologii: Warsaw, Poland, 2012. [Google Scholar]
- ARC Rynek i Opinia. Polacy a Stres Raport dla Sanprobi [Poles and Stress. Report for Sanprobi], Warszawa. 2020. Available online: https://biznes.newseria.pl/files/1097841585/raport-sanprobi--polacy-a-stres-09.2020.pdf (accessed on 18 January 2022).
- Ogińska-Bulik, N. Occupational Stress in Social Service Professions: Sources, Consequences, Prevention; Difin: Warsaw, Poland, 2006. [Google Scholar]
- Marten, Z. Stress at teacher’s work. Zesz. Nauk. Wyższej Szkoły Humanit. Daw. Wyższej Szkoły Zarządzania Mark. Sosnowcu Pedagog. 2007, 2, 99–110. [Google Scholar]
- Gliński, M. Preferencje zawodowe a stres zawodowy wśród nauczycieli. Educ. Psychol. 2015, 48, 37–54. [Google Scholar] [CrossRef]
- Sowden, J.F.; Schonfeld, I.S.; Bianchi, R. Are Australian teachers burned-out or depressed? A confirmatory factor analytic study involving the Occupational Depression Inventory. J. Psychosom. Res. 2022, 157, 110783. [Google Scholar] [CrossRef]
- Hindman, A.H.; Bustamante, A.S. Teacher depression as a dynamic variable: Exploring the nature and predictors of change over the head start year. J. Appl. Dev. Psychol. 2019, 61, 43–55. [Google Scholar] [CrossRef]
- Desouky, D.; Allam, H. Occupational stress, anxiety and depression among Egyptian teachers. J. Epidemiol. Glob. Health 2017, 7, 191–198. [Google Scholar] [CrossRef] [PubMed]
- Biernat, E.; Buchholtz, S.; Góra, M. Physical activity for longer working lives. An analysis of physical activity profiles of selected occupational groups in Poland. Med. Lav. 2016, 107, 444–461. [Google Scholar]
- Biernat, E.; Skrok, Ł.; Krzepota, J. Short-Term and Medium-Term Impact of Retirement on Sport Activity, Self-Reported Health, and Social Activity of Women and Men in Poland. BioMed Res. Int. 2019, 2019, 8383540. [Google Scholar] [CrossRef] [PubMed]
- Skrok, Ł.; Majcherek, D.; Nałęcz, H.; Biernat, E. Impact of sports activity on Polish adults: Self-reported health, social capital & attitudes. PLoS ONE 2019, 14, e0226812. [Google Scholar] [CrossRef]
- Gerber, M.; Pühse, U. Review article: Do exercise and fitness protect against stress-induced health complaints? A review of the literature. Scand. J. Public Health 2009, 37, 801–819. [Google Scholar] [CrossRef]
- Wijndaele, K.; Matton, L.; Duvigneaud, N.; Lefevre, J.; de Bourdeaudhuij, I.; Duquet, W.; Thomis, M.; Philippaerts, R.M. Association between leisure time physical activity and stress, social support and coping: A cluster-analytical approach. Psychol. Sport Exerc. 2007, 8, 425–440. [Google Scholar] [CrossRef]
- Scully, D.; Kremer, J.; Meade, M.M.; Graham, R.; Dudgeon, K. Physical exercise and psychological well being: A critical review. Br. J. Sports Med. 1998, 32, 111–120. [Google Scholar] [CrossRef] [Green Version]
- Biddle, S.J.H.; Fox, K.; Boutcher, S. Physical Activity and Psychological Well-Being; Routledge: New York, NY, USA, 2000; ISBN 9780415234399. [Google Scholar]
- Zobairy, M.; Aliabadi, S.; Zobayri, L. Investigation of the Relationship between Anxiety and Type of Leisure Time Activity in Female High School Students. Procedia—Soc. Behav. Sci. 2013, 84, 248–251. [Google Scholar] [CrossRef] [Green Version]
- Cheung, T.; Wong, S.Y.; Wong, K.Y.; Law, L.Y.; Ng, K.; Tong, M.T.; Wong, K.Y.; Ng, M.Y.; Yip, P.S.F. Depression, Anxiety and Symptoms of Stress among Baccalaureate Nursing Students in Hong Kong: A Cross-Sectional Study. Int. J. Ther. Appl. 2016, 13, 779. [Google Scholar] [CrossRef] [Green Version]
- Kang, K.; Sung, J.; Kim, C.Y. High risk groups in health behavior defined by clustering of smoking, alcohol, and exercise habits: National Heath and Nutrition Examination Survey. J. Prev. Med. Public Health 2010, 43, 73–83. [Google Scholar] [CrossRef] [PubMed]
- Lallukka, T.; Lahelma, E.; Rahkonen, O.; Roos, E.; Laaksonen, E.; Martikainen, P.; Head, J.; Brunner, E.; Mosdol, A.; Marmot, M.; et al. Associations of job strain and working overtime with adverse health behaviors and obesity: Evidence from the Whitehall II Study, Helsinki Health Study, and the Japanese Civil Servants Study. Soc. Sci. Med. 2008, 66, 1681–1698. [Google Scholar] [CrossRef] [PubMed]
- Abu-Omar, K.; Rütten, A. Relation of leisure time, occupational, domestic, and commuting physical activity to health indicators in Europe. Prev. Med. 2008, 47, 319–323. [Google Scholar] [CrossRef]
- Sitthipornvorakul, E.; Janwantanakul, P.; Purepong, N.; Pensri, P.; van der Beek, A.J. The association between physical activity and neck and low back pain: A systematic review. Eur. Spine J. 2011, 20, 677–689. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Asztalos, M.; Wijndaele, K.; de Bourdeaudhuij, I.; Philippaerts, R.; Matton, L.; Duvigneaud, N.; Thomis, M.; Duquet, W.; Lefevre, J.; Cardon, G. Specific associations between types of physical activity and components of mental health. J. Sci. Med. Sport 2009, 12, 468–474. [Google Scholar] [CrossRef]
- Vuillemin, A.; Boini, S.; Bertrais, S.; Tessier, S.; Oppert, J.-M.; Hercberg, S.; Guillemin, F.; Briançon, S. Leisure time physical activity and health-related quality of life. Prev. Med. 2005, 41, 562–569. [Google Scholar] [CrossRef] [PubMed]
- Wendel-Vos, G.C.W.; Schuit, A.J.; Tijhuis, M.A.R.; Kromhout, D. Leisure time physical activity and health-related quality of life: Cross-sectional and longitudinal associations. Qual. Life Res. 2004, 13, 667–677. [Google Scholar] [CrossRef]
- Holtermann, A.; Marott, J.L.; Gyntelberg, F.; Søgaard, K.; Suadicani, P.; Mortensen, O.S.; Prescott, E.; Schnohr, P. Occupational and leisure time physical activity: Risk of all-cause mortality and myocardial infarction in the Copenhagen City Heart Study. A prospective cohort study. BMJ Open 2012, 2, e000556. [Google Scholar] [CrossRef] [Green Version]
- Teixeira, P.J.; Carraça, E.V.; Markland, D.; Silva, M.N.; Ryan, R.M. Exercise, physical activity, and self-determination theory: A systematic review. Int. J. Behav. Nutr. Phys. Act. 2012, 9, 78. [Google Scholar] [CrossRef] [Green Version]
- Schuch, F.B.; Vancampfort, D. Physical activity, exercise, and mental disorders: It is time to move on. Trends Psychiatry Psychother. 2021, 43, 177–184. [Google Scholar] [CrossRef] [PubMed]
- EZOP. Raport EZOP—Zdrowie Psychiczne Polaków [EZOP Report—Mental Health of the Poles]. 2018. Available online: https://www.depresjaza.pl/zdrowie-psychiczne-polakow (accessed on 25 January 2022).
- Zarkasi, K.A.; Danker, J.D.; Julani, I.M.; Maisarah Rasid, N.I.; Kumaran, J.; Panirselvan, P.; Ramli, N.Z.; Sani, M.H.M. Levels of Depression, Anxiety, and Stress Measured by DASS-21 and their Associated Factors in a Rural Village of Ranau District, Sabah, Malaysia. Acta Med. Philipp. 2021, 56, 49–57. [Google Scholar] [CrossRef]
- Pyżalski, J.Ł. Psychospołeczne Warunki Pracy Polskich Nauczycieli. Pomiędzy Wypaleniem Zawodowym a Zaangażowaniem [Psychosocial Working Conditions of Polish Teachers. Between Burnout and Commitment]; Pyżalski, J., Merecz, D., Eds.; Impuls: Kraków, Poland, 2010. [Google Scholar]
- Kisely, S.; Scott, A.; Denney, J.; Simon, G. Duration of untreated symptoms in common mental disorders: Association with outcomes: International study. Br. J. Psychiatry 2006, 189, 79–80. [Google Scholar] [CrossRef] [Green Version]
- Bauer, J.; Unterbrink, T.; Hack, A.; Pfeifer, R.; Buhl-Griesshaber, V.; Müller, U.; Wesche, H.; Frommhold, M.; Seibt, R.; Scheuch, K.; et al. Working conditions, adverse events and mental health problems in a sample of 949 German teachers. Int. Arch. Occup. Environ. Health 2007, 80, 442–449. [Google Scholar] [CrossRef]
- Biernat, E.; Skrok, Ł.; Majcherek, D.; Nałęcz, H. Socioecological Profile of Active Adults. Sport as a Whole-life Choice. Phys. Cult. Sport Stud. Res. 2020, 85, 59–76. [Google Scholar] [CrossRef] [Green Version]
- Stapleton, P.; Garby, S.; Sabot, D. Psychological distress and coping styles in teachers: A preliminary study. Aust. J. Educ. 2020, 64, 127–146. [Google Scholar] [CrossRef]
Variables | Operationalization | f | rf (%) |
---|---|---|---|
Dependent variable | |||
Depression | |||
Normal or mild | ≤13 pts. | 95 | 81.9 |
Moderate to extremely severe | ≥14 pts. | 21 | 18.1 |
Anxiety | |||
Normal or mild | ≤9 pts. | 90 | 77.6 |
Moderate to extremely severe | ≥10 pts. | 26 | 22.4 |
Stress | |||
Normal or mild | ≤18 pts. | 56 | 48.3 |
Moderate to extremely severe | ≥19 pts. | 60 | 51.7 |
Independent variable | |||
Physical activity level (PAL) | |||
High or moderate | ≥600 MET-min/week (combined activities of VPA, MPA and walking) | 78 | 67.2 |
Low | <600 MET-min/week (combined activities of VPA, MPA and walking) | 38 | 32.8 |
Gender | |||
Male | 28 | 24.1 | |
Female | 88 | 75.9 | |
Work experience | |||
≤20 years | 69 | 59.5 | |
>20 years | 47 | 40.5 | |
Total lessons per week | |||
≤18 h/week | 20 | 17.2 | |
>18 h/week | 96 | 82.8 | |
Steady income | |||
≤2700 PLN (≤€596) | 38 | 32.8 | |
>2700 PLN (>€596) | 78 | 67.2 |
Level | Depression | Anxiety | Stress | Total * |
---|---|---|---|---|
Normal | 0–9 | 0–7 | 0–14 | 0–78 |
Mild | 10–13 | 8–9 | 15–18 | 78–87 |
Moderate | 14–20 | 10–14 | 19–25 | 87–95 |
Severe | 21–27 | 15–19 | 26–33 | 95–98 |
Extremely severe | ≥28 | ≥20 | ≥34 | 98–100 |
Variables | f | M | SD | Me | Q1 | Q3 |
---|---|---|---|---|---|---|
Mental state | ||||||
DS (pts.) | 116 | 7.7 | 6.8 | 6.0 | 2.5 | 10.0 |
AS (pts.) | 116 | 6.5 | 6.2 | 4.0 | 2.0 | 8.0 |
SS (pts.) | 116 | 19.3 | 7.4 | 20.0 | 14.0 | 24.0 |
Physical activity | ||||||
FVPA (day/week) | 40 | 3.1 | 1.9 | 2.0 | 2.0 | 4.0 |
TVPA (min/day) | 40 | 25.9 | 32.9 | 10.0 | 10.0 | 30.0 |
EEVPA (MET-min/week) | 40 | 602.0 | 793.2 | 320.0 | 160.0 | 560.0 |
FMPA (day/week) | 83 | 3.0 | 1.9 | 3.0 | 2.0 | 4.0 |
TMPA (min/day) | 83 | 42.6 | 32.5 | 30.0 | 20.0 | 60.0 |
EEMPA (MET-min/week) | 83 | 502.2 | 518.2 | 360.0 | 180.0 | 600.0 |
FLPA (day/week) | 112 | 5.9 | 1.7 | 7.0 | 5.0 | 7.0 |
TLPA (min/day) | 112 | 33.8 | 23.2 | 30.0 | 20.0 | 40.0 |
EELPA (MET-min/week) | 112 | 662.7 | 516.2 | 462.0 | 268.1 | 693.0 |
EETPA (MET-min/week) | 113 | 1238.7 | 976.4 | 1053.0 | 542.0 | 1750.5 |
Predictor | Model1 | Model2 | Model3 | Model4 | Model5 |
---|---|---|---|---|---|
OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | |
Physical activity level | AUC = 0.65 | AUC = 0.66 | AUC = 0.69 | AUC = 0.70 | AUC = 0.70 |
High or moderate–low | 3.54 * (1.34–9.38) | 3.73 * (1.37–10.16) | 3.54 * (1.29–9.75) | 3.61 * (1.30–10.00) | 3.62 * (1.31–10.03) |
Gender | |||||
Female–male | 1.33 (0.41–4.30) | 1.37 (0.42–4.44) | 1.39 (0.43–4.53) | 1.43 (0.43–4.70) | |
Work experience | |||||
≤20 years–>20 years | 1.59 (0.59–4.25) | 1.57 (0.58–4.20) | 1.66 (0.60–4.58) | ||
Total lessons per week | |||||
≤18 h/week–>18 h/week | 1.38 (0.34–5.54) | 1.46 (0.36–6.02) | |||
Steady income | |||||
≤2700 PLN–>2700 PLN (≤€596–>€596) | 0.77 (0.26–2.30) |
Predictor | Model1 | Model2 | Model3 | Model4 | Model5 |
---|---|---|---|---|---|
OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | |
Physical activity level | AUC = 0.61 | AUC = 0.62 | AUC = 0.65 | AUC = 0.67 | AUC = 0.68 |
High or moderate–low | 2.60 * (1.06–6.37) | 2.42 (0.97–6.01) | 2.52 (1.00–6.34) | 2.60 * (1.02–6.63) | 2.61 * (1.01–6.73) |
Gender | |||||
Female–male | 0.60 (0.18–1.96) | 0.59 (0.18–1.94) | 0.61 (0.18–2.03) | 0.56 (0.17–1.89) | |
Work experience | |||||
≤20 years–>20 years | 0.76 (0.30–1.93) | 0.73 (0.28–1.85) | 0.66 (0.25–1.72) | ||
Total lessons per week | |||||
≤18 h/week–>18 h/week | 3.22 (0.68–15.22) | 2.74 (0.56–13.30) | |||
Steady income | |||||
≤2700 PLN–>2700 PLN (≤€596–>€596) | 1.82 (0.62–5.38) |
Predictor | Model1 | Model2 | Model3 | Model4 | Model5 |
---|---|---|---|---|---|
OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | OR (±95% CI) | |
Physical activity level | AUC = 0.61 | AUC = 0.65 | AUC = 0.66 | AUC = 0.67 | AUC = 0.70 |
High or moderate–low | 2.74 * (1.21–6.21) | 2.46 * (1.07–5.66) | 2.61 * (1.12–6.10) | 2.71 * (1.15–6.42) | 2.79 * (1.16–6.69) |
Gender | |||||
Female–male | 0.42 (0.17–1.05) | 0.41 (0.16–1.04) | 0.40 (0.16–1.02) | 0.35 (0.14–0.92) | |
Work experience | |||||
≤20 years–>20 years | 0.67 (0.30–1.48) | 0.64 (0.29–1.43) | 0.53 (0.23–1.24) | ||
Total lessons per week | |||||
≤18 h/week–>18 h/week | 1.90 (0.67–5.38) | 1.58 (0.54–4.63) | |||
Steady income | |||||
≤2700 PLN–>2700 PLN (≤€596–>€596) | 2.15 (0.88–5.27) |
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Biernat, E.; Piątkowska, M.; Rozpara, M. Is the Prevalence of Low Physical Activity among Teachers Associated with Depression, Anxiety, and Stress? Int. J. Environ. Res. Public Health 2022, 19, 8868. https://doi.org/10.3390/ijerph19148868
Biernat E, Piątkowska M, Rozpara M. Is the Prevalence of Low Physical Activity among Teachers Associated with Depression, Anxiety, and Stress? International Journal of Environmental Research and Public Health. 2022; 19(14):8868. https://doi.org/10.3390/ijerph19148868
Chicago/Turabian StyleBiernat, Elżbieta, Monika Piątkowska, and Michał Rozpara. 2022. "Is the Prevalence of Low Physical Activity among Teachers Associated with Depression, Anxiety, and Stress?" International Journal of Environmental Research and Public Health 19, no. 14: 8868. https://doi.org/10.3390/ijerph19148868
APA StyleBiernat, E., Piątkowska, M., & Rozpara, M. (2022). Is the Prevalence of Low Physical Activity among Teachers Associated with Depression, Anxiety, and Stress? International Journal of Environmental Research and Public Health, 19(14), 8868. https://doi.org/10.3390/ijerph19148868