Abstract
Purpose
This study aimed to identify the association between psychosocial work environment and depressive symptoms among Korean teachers.
Methods
Data on 235 elementary school teachers and 341 middle and high school teachers was obtained from the 2014 Korean Working Condition Survey. The effect of psychosocial work environment on depressive symptoms was determined by multiple logistic regression analyses.
Results
The prevalence of depressive symptoms was 18 % in elementary school teachers and 24 % in middle and high school teachers. When adjusted for demographics and other socio-psychological and environmental factors, ‘social community at work’ served as a protection factor for Korean teachers’ depressive symptoms. In addition, ‘cognitive demands’ in elementary school teachers and ‘social support from supervisors’ in middle and high school teachers were found to be predictors of depressive symptoms.
References
1. Statistics Korea. The sixth korea national health and nutrition examination survey (KNHANES VI-3) [Internet]. Cheongju: Korea Centers for Disease Control and Prevention;2015. [cited 2017 June 8]. Available from:. http://kosis.kr/statHtml/statHtml.do?orgId=117&tblId=DT_11702_N062&conn_path=I2.
2. Henderson M, Glozier N, Elliott KH. Long term sickness absence: Is caused by common conditions and needs managing. British Medical Journal. 2005; 330(7495):802–803. https://doi.org/10.1136/bmj.330.7495.802.
3. Karpansalo M, Kauhanen J, Lakka TA, Manninen P, Kaplan GA, Salonen JT. Depression and early retirement: Prospective population based study in middle aged men. Journal of Epidemiology and Community Health. 2005; 59(1):70–74. https://doi.org/10.1136/jech.2003.010702.
4. Choi ES, Ju YS, Yim J, Cho SJ, Jeon KS, Ha YM, et al. Time series analysis for the 1st to 4th Korean working conditions survey. Research Report. Ulsan: Occupational Safety & Health Research Institute;2015. October. Report No.: 2015-1058.
5. OECD. TALIS 2013 results: An international perspective on teaching and learning [Internet]. Paris: OECD Publishing;2014. [cited 2017 November 3]. Avaliable from:. http://www.keepeek.com/Digital-Asset-Management/oecd/education/talis-2013-results_9789264196261-en#page4.
6. Fullan M. The new meaning of educational change. New York, NY: Teachers College;2001. p. 297.
7. Jepson E, Forrest S. Individual contributory factors in teacher stress: The role of achievement striving and occupational commitment. British Journal of Educational. Psychology. 2006; 76(1):183–197. https://doi.org/10.1348/000709905X37299.
8. Bauer J, Stamm A, Virnich K, Wissing K, Müller U, Wirsching M, et al. Correlation between burnout syndrome and psychological and psychosomatic symptoms among teachers. International Archives of Occupational and Environmental Health. 2006; 79(3):199–204. https://doi.org/10.1007/s00420-005-0050-y.
9. De Heus P, Diekstra RF. Do teachers burn out more easily? A comparison of teachers with other social professions on work stress and burnout symptoms. New York, NY: Cambridge University Press;1999. p. 270.
10. Stansfeld SA, Fuhrer R, Shipley MJ, Marmot MG. Work characteristics predict psychiatric disorder: Prospective results from the Whitehall II study. Occupational & Environmental Medicine. 1999; 56(5):302–307.
11. Paterniti S, Niedhammer I, Lang T, Consoli SM. Psychosocial factors at work, personality traits and depressive symptoms: Longitudinal results from the GAZEL Study. The British Journal of Psychiatry. 2002; 181(2):111–117. https://doi.org/10.1192/bjp.181.2.111.
12. Cox T. Stress research & stress management: Translating research into practice. Sudbury: HSE Books;1993. p. 120.
13. Schutte S, Chastang JF, Malard L, Parent-Thirion A, Vermey-len G, Niedhammer I. Psychosocial working conditions and psychological well-being among employees in 34 European countries. International Archives of Occupational and Environmental Health. 2014; 87(8):897–907. https://doi.org/10.1007/s00420-014-0930-0.
14. Choi ES, Jeon GS. The Impacts of psychosocial work conditions on self-rated health among Korean workers. Korean Journal of Occupational Health Nursing. 2016; 25(4):300–310. https://doi.org/10.5807/kjohn.2016.25.4.300.
15. Choi ES, Jeon GS. The Impacts of psychosocial work environments on depressive symptoms among Korean registered nurses. Korean Journal of Occupational Health Nursing. 2017; 26(1):30–39. https://doi.org/10.5807/kjohn.2017.26.1.30.
16. Eurofound. Fifth European working condition survey. Luxembourg: Publications Office of the European Union;2012. p. 160.
17. Krieger T, Zimmermann J, Huffziger S, Ubl B, Diener C, Kueh-ner C, et al. Measuring depression with a well-being index: further evidence for the validity of the WHO Well-Being Index (WHO-5) as a measure of the severity of depression. Journal of Affective Disorders. 2014; 156:240–244. https://doi.org/10.1016/j.jad.2013.12.015.
18. Kim HR, Lee SY, Lee YR, Kim HH, Lee WY. Teacher's job stress and health survey. Research Report. Seoul: Korean Teachers Educational Worker's Union;2016. December.
19. Borrelli I, Benevene P, Fiorilli C, D'Amelio F, Pozzi G. Working conditions and mental health in teachers: A preliminary study. Occupational Medicine. 2014; 64(7):530–532. https://doi.org/10.1093/occmed/kqu108.
20. Nakada A, Iwasaki S, Kanchika M, Nakao T, Deguchi Y, Konishi A, et al. Relationship between depressive symptoms and perceived individual level occupational stress among japanese schoolteachers. Industrial Health. 2016; 54(5):396–402. https://doi.org/10.2486/indhealth.2015-0195.
21. Zhang Q, Zhu W. Exploring emotion in teaching: Emotional labor, burnout, and satisfaction in Chinese higher education. Communication Education. 2008; 2009. 57(1):105–122. https://doi.org/10.1080/03634520701586310.
22. Aftab M, Khatoon T. Demographic differences and occupational stress of secondary school teachers. European Scientific Journal. March Edition. 2012; 8(5):159–175.
23. June KJ, Choi ES. Reliability and validity of the Korean version of the copenhagen psyco-social questionnaire scale. Korean Journal of Occupational Health Nursing. 2013; 22(1):1–12. https://doi.org/10.5807/kjohn.2013.22.1.1.
25. Cicognani E, Pietrantoni L, Palestini L, Prati G. Emergency workers' quality of life: The protective role of sense of community, efficacy beliefs and coping strategies. Social Indicators Research. 2009; 94(3):449–463. https://doi.org/10.1007/s11205-009-9441-x.
24. June KJ, Choi ES, Park M-J. Effect of psychosocial work environment and self-efficacy on mental health of office workers. Korean Journal of Occupational Health Nursing. 2013; 22(3):228–239. https://doi.org/10.5807/kjohn.2013.22.3.228.
26. Ahghar G. The role of school organizational climate in occupational stress among secondary school teachers in Tehran. International Journal of Occupational Medicine and Environmental Health. 2008; 21(4):319–329. https://doi.org/10.2478/v10001-008-0018-8.
27. Skaalvik EM, Skaalvik S. Teacher job satisfaction and motivation to leave the teaching profession: Relations with school context, feeling of belonging, and emotional exhaustion. Teaching and Teacher Education. 2011; 27(6):1029–1038. https://doi.org/10.1016/j.tate.2011.04.001.
28. Van Dick R, Wagner U. Stress and strain in teaching: A structural equation approach. British Journal of Educational Psychology. 2001; 71(2):243–259. https://doi.org/10.1348/000709901158505.
29. Rugulies R, Aust B, Pejtersen JH. Do psychosocial work environment factors measured with scales from the copenhagen psychosocial questionnaire predict register-based sickness absence of 3 weeks or more in Denmark? Scandinavian Journal of Public Health. 2010; 38(3):42–50. https://doi.org/10.1177/1403494809346873.
30. Chung MK, Joo YH, Chung BU. A study of policy strategies and directions for reducing the burden of teachers in administrative affairs. The Journal of Korean Teacher Education. 2013; 30(3):377–404.
Table 1.
Variables | Elementary school teachers | Middle and high school teachers | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Total | <13 | ≥13 | x2/P | p | Total | <13 | ≥13 | x2/P | p | |
n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | |||||
Total | ||||||||||
235 (100.0) | 43 (18.3) | 192 (81.7) | 341 (100.0) | 82 (24.0) | 259 (76.0) | |||||
Gender | ||||||||||
Male | 56 (23.8) | 13 (23.2) | 43 (76.8) | 1.19 | .276 | 174 (51.0) | 44 (25.3) | 130 (74.7) | 0.30 | .584 |
Female | 179 (76.2) | 30 (16.8) | 149 (83.2) | 167 (49.0) | 38 (22.7) | 129 (77.3) | ||||
Age (year) | ||||||||||
≤34 | 70 (29.8) | 14 (20.0) | 56 (80.0) | 0.72 | .697 | 80 (23.5) | 16 (20.9) | 64 (79.1) | 1.30 | .521 |
35~44 | 98 (41.7) | 19 (19.4) | 79 (80.6) | 103 (30.2) | 24 (19.2) | 79 (80.9) | ||||
≥45 | 67 (28.5) | 10 (14.9) | 57 (85.1) | 158 (46.3) | 42 (15.0) | 116 (85.0) | ||||
Education | ||||||||||
Bachelors degree | 213 (90.6) | 40 (18.8) | 173 (81.2) | 0.21† | .774† | 285 (83.6) | 69 (24.2) | 216 (75.8) | 0.03 | .873 |
≥Undergraduate | 22 (9.4) | 3 (13.6) | 19 (86.4) | 56 (16.4) | 13 (23.2) | 43 (76.8) | ||||
Residence area | ||||||||||
Metropolitan area | 122 (51.9) | 23 (18.9) | 99 (81.2) | 0.05 | .819 | 184 (54.0) | 42 (22.8) | 142 (77.2) | 0.33 | .568 |
Non-metropolitan area | 113 (48.1) | 20 (17.7) | 93 (82.3) | 157 (46.0) | 40 (25.5) | 117 (74.5) | ||||
Number of workers | ||||||||||
1~49 | 120 (51.1) | 17 (14.2) | 103 (85.8) | 2.80 | .094 | 153 (44.9) | 36 (23.5) | 117 (76.5) | 0.04 | .840 |
≥50 | 115 (48.9) | 26 (22.6) | 89 (77.4) | 188 (55.1) | 46 (24.5) | 142 (75.5) | ||||
Employment type | ||||||||||
Regular | 224 (95.3) | 43 (19.2) | 181 (80.8) | 0.10† | .223† | 328 (96.2) | 78 (23.8) | 250 (76.2) | 0.20† | .521† |
Non-regular | 11 (4.7) | 0 (0.0) | 11 (100.0 | ) | 13 (3.8) | 4 (30.8) | 9 (69.2) | |||
Weekly working hours | ||||||||||
≤40 | 209 (88.9) | 37 (17.7) | 172 (82.3) | 0.16† | .590† | 261 (76.5) | 59 (22.6) | 202 (77.4) | 1.27 | .261 |
>40 | 26 (11.1) | 6 (23.1) | 20 (76.9) | 80 (23.5) | 23 (28.8) | 57 (71.2) | ||||
Working period at present workplace (year) | ||||||||||
<5 | 52 (22.1) | 13 (25.0) | 39 (75.0) | 3.02 | .222 | 69 (20.2) | 14 (20.3) | 55 (79.7) | 0.79 | .673 |
≥5 and<10 | 47 (20.0) | 10 (21.3) | 37 (78.7) | 56 (16.4) | 13 (23.2) | 43 (76.8) | ||||
≥10 | 136 (57.9) | 20 (14.7) | 116 (85.3) | 216 (63.3) | 55 (25.5) | 161 (74.5) |